Society of St. Francis Xavier, Pilar’s Fr. Conceicao Rodrigues College of Engineering

Society of St. Francis Xavier, Pilar’s

Society of St. Francis Xavier, Pilar’s

Fr. Conceicao Rodrigues College of Engineering

An Autonomous Institute Affiliated to University of Mumbai | NAAC "A" Grade Accredited

Fr. Agnel Ashram, Bandstand, Bandra (W), Mumbai: 400050

Computer Engineering

Shaping the future with cutting-edge technology and innovation.

About

The Department was established in the year 1991. The department offers B.Tech. in Computer Engineering, a four-year degree program with an intake of 180 students. This program is accredited by National Board of Accreditation with effect from the Academic Year 2017-18. The program has started offering honours and minor degree programs in order to facilitate the students to choose additionally the specialized courses in the emerging areas of their choice and build their competence.
The Department has competent, veteran and devoted faculty to provide industry-driven education to the students. The Department Infrastructure fulfills the requirements of academics and also supports research projects and learning skills to face the challenges of the industry. The Computer Engineering Department effectively prepares students to pursue leadership, technical and management positions in a variety of industries. The department has a strong alumni network which further enriches the program by their involvement in departmental activities and guidance to students.
As per the World Economic Forum report, 4th industrial revolution represents a fundamental change in the way we live, work and relate to one another. It will impact every aspect of life by enabling smart technologies. To enable smart technologies, the programme incorporates a wide range of topics in computer engineering like Artificial Intelligence, Big Data Analytics, Block-Chain, Internet of Things, with basic technologies like computer programming, Computer Networking, Database management system, computing Technologies, Programming languages and algorithms. Department has adopted Project base learning approach which help students to explore various thrust application areas and apply principles of Computer technology across multidisciplinary field.
The department conducts various training programs to help faculty and students to improve their technical knowledge. The department has fetched research grants from MODROB and Minor Research Grant of Mumbai University for Innovative Projects. It has signed MoU with several companies like Suven Consultant and Technology Pvt. Ltd, Indian Institute of Remote Sensing (IIRS) Outreach Programme, crypto university, AWS, LPI Canada, EC council Academia and Tata Consultancy Services (TCS). Graduates of our department have been recruited by major IT companies such as BrowserStack,, Morgan Stanley, JP Morgan Chase, ZS, TIAA, Seclore, Quantiphi , Carwale, SAP, Amdocs, TCS, Accenture to name a few. Department has made conscious efforts to develop the department as a centre of excellence in the field of Machine learning.
To gain practical exposure to real-world engineering challenges, enhancing theoretical knowledge with hands-on applications, students undergo Internships which enables them to work alongside industry professionals, gaining valuable insights and practical skills that can't be learned solely in the classroom. Students have pursued internships in JP Morgan, Quantiphi, TIAA, etc. Students are encouraged to undertake certification courses on platforms like Udemy, Coursera, NPTEL and IIRS that tailor education to their career aspirations. Both internships and certifications not only bolster our student's resume but also contribute significantly to their overall growth as future engineers. Many students aspire to pursue higher studies to further their academic and career goals through admission to renowned universities like IIM Ahmedabad, IIM Indore, Carnegie Mellon University, Buffalo university, Massachusettes Institute of Technology to name a few.
Highlights of Department
  • NBA accredited since 2017-18
  • 8 well equipped labs with state-of-the-art tools and software
  • More than 95%BE result and more than 85% placements many students going for higher education in renowned Universities
  • Machine learning server and cloud server available for experimentation
  • Qualified and devoted faculty, and Project Based Learning Activities
  • Students compete and earn awards at national and international levels
  • Workshop and Seminars on Recent Technology by Industry Experts
  • More than 75 research papers published in reputed Journals/conferences in last 5 years
  • Department received MODROB grant ,Mumbai University Minor Research grants and Atal FDP grants

From HOD's Desk

Dr. Sujata Deshmukh
Welcome to the Department of Computer Engineering at Fr. C. R. C. E.—a vibrant ecosystem where innovation meets impact and sustainability drives purpose.
Rooted in our vision “To be a center of excellence producing globally competent individuals through holistic development,” we have reimagined engineering education to meet the demands of the AI-powered, sustainability-conscious era.
Our NEP 2020–aligned curriculum for 2025–26 is designed to foster skill-based, industry-relevant learning through focused modules in Full-Stack Web Development, Cloud & DevOps, AI & Machine Learning, Cybersecurity, and Blockchain. Recognizing the urgent global need for sustainable solutions, we have integrated sustainability as a core criterion in project selection, encouraging students to develop responsible, scalable technologies that address real-world challenges in energy, environment, and societal well-being.
Students can gain immersive industry exposure through hands-on projects, research internships, and startup incubation. Our emphasis on sustainability ensures that innovation goes hand-in-hand with social responsibility.
We are proud of our state-of-the-art laboratories, dedicated Machine Learning server, and a highly qualified faculty that mentors students in ethical leadership, cutting-edge research, and sustainable innovation. Our signature H-Tree learning model—a blend of teacher-led, peer, self-directed, and experiential learning—nurtures well-rounded, future-ready graduates.
Our students have a strong track record of success in national-level platforms such as Smart India Hackathon (SIH) and other prestigious competitions, where sustainability-themed solutions have garnered special recognition. Dynamic student bodies like GDSC, IEEE, IIC, and Coders’ Club-Code Storm enrich the learning environment through tech fests, workshops, hackathons, and expert speaker sessions.
With an 85%+ placement rate and top recruiters including JP Morgan, Amazon, and BrowserStack, along with a growing network of successful global alumni, we prepare students to thrive—technically, professionally, ethically, and environmentally.
As you begin your journey with us, I encourage you to explore the wide spectrum of academic, professional, and co-curricular opportunities available. Stay connected via our department website for updates on internships, sustainable innovation challenges, and industry-collaborative initiatives.
We are fully committed to your all-round growth and will support you at every stage of this transformative journey.
Let us move forward together, embracing the spirit of NEP-driven, sustainability-oriented engineering education—empowering you to become a visionary, ethical problem-solver for a better tomorrow.
"At CE CRCE, we don’t just prepare engineers—we shape innovators who lead with integrity, insight, and impact."

Vision and Mission

Vision

To be a center of excellence in Computer Engineering education that will produce self-motivated, and globally competent individuals through holistic development.

Mission
  • Build state-of-the-art infrastructure that can accommodate cutting-edge technology and is constantly updated in response to the needs.
  • To emphasize on experiential learning and holistic development in order to pursue academic excellence and inculcate research aptitude through high-quality research publications
  • Enable the students to foster innovative ideas in pace with the emerging technologies
  • Encourage faculty members to pursue higher education/research and stay abreast with the latest technology.

PEOs, POs and PSOs

Program Educational Objectives [PEOs]

At the completion of the program, students will have the ability to

  • Apply Computer Science principles and techniques to develop engineering projects in order to achieve client business objectives and/or to conduct fruitful research.
  • Demonstrate excellent interpersonal skills and leadership qualities at their workspace and in the society.
  • Successfully work in diverse and multidisciplinary teams, communicate effectively, and find innovative solutions to problems.
Program Outcomes [POs]

Engineering Graduates will be able to

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design/Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling of complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and the need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Project Management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognized the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes [PSOs]

Engineering graduates will be able to

  • Develop Artificial Intelligence and Machine Learning systems.
  • Apply cyber security mechanisms to ensure the protection of information technology assets.

Faculty Members

Professor & HOD

Dr. Sujata Deshmukh

Ph.D.(Tech.) in Info.Tech

Areas of interests:

Data Mining, Machine Learning, Blockchain

Associate Professor

Ms. Merly Thomas

Ph.D. (Computer Engg.)(Pursuing)

Areas of interests:

Computer Networks, Distributed Computing

Associate Professor

Dr. Ashok M. Kanthe

Ph.D.(Computer Technology)

Areas of interests:

Wireless Network Security, Cyber Security, Machine Learning

Associate Professor

Dr. Monica Khanore

Ph.D. (Electronics Engineering)

Areas of interests:

Telecommunications, Blockchain Technology and Computer NetworksData Mining, Machine Learning, Blockchain

Assistant Professor
Ms. Kalpana Deorukhkar

Ph.D. (Computer Engineering) (Pursuing)

Areas of interests:

Natural Language Processing, Data Structures, Advance Algorithm

Associate Professor

Dr. Roshni Padate

Ph.D. (Computer Engineering)

Areas of interests:

Image Processing, Data Warehouse and Mining ,Machine Learning, Deep Intelligence

Associate Professor

Dr. Supriya Shivanath Kamoji

Ph.D. (Computer Engineering)

Areas of interests:

Artificial Intelligence, Natural language Processing, Cloud Computing and Social Media Analytics

Associate Professor

Dr. Smita Ambarkar

Ph.D. (Computer Engineering)

Areas of interests:

Artificial Intelligence, Natural language Processing, Cloud Computing and Social Media Analytics

Associate Professor

Dr. Monali Shetty

Ph.D. (Computer Engineering)

Areas of interests:

Computer Networks, System Security, Blockchain Technology

Assistant Professor
Ms. Jagruti Nagaonkar
Ph.D.(Computer Engineering)(Pursuing)

Areas of interests:

Computer Networks, Database Management Systems, Digital Signal Processing
Assistant Professor
Ms. Ashwini Pansare
Ph.D. (Computer Science and Engineering) (Pursuing)

Areas of interests:

Artificial intelligence, Machine Learning, Deep Learning
Assistant Professor
Ms. Kranti Wagle
Ph.D.(Computer Science and Engineering) (Pursuing)

Areas of interests:

Computer Organization, Embedded, Systems, Real Time Operating System, Internet of Things
Assistant Professor
Ms. Sushama Nagdeote
Ph.D. (Electronics Engineering) (Pursuing)

Areas of interests:

Image processing, Machine Learning, Deep Learning, Signal Processing
Assistant Professor
Ms. Prachi Patil
M.E. (Computer Engineering)

Areas of interests:

Programming Languages, Machine Learning
Assistant Professor
Ms. Parshvi Shah
Ph.D. (Pursuing)

Areas of interests:

Programming Languages, Computer Architecture, Machine Learning
Assistant Professor
Ms. Sangeeta Parshionikar
Ph.D. (Computer Engineering) (Pursuing)

Areas of interests:

Digital Logic, Computer Organization, IoT, Deep Learning
Assistant Professor
Ms. Heena Pendhari
Ph.D. (Computer Engineering) (Pursuing)

Areas of interests:

Embedded systems, Internet of Things
Assistant Professor
Ms. Prajakta Dhamnaskar
Ph.D. (Computer Engineering) (Pursuing)

Areas of interests:

Data structure and Algorithms, Data mining, Machine Learning
Assistant Professor
Mr. Unik Lokhande
Ph.D. (Computer Engineering) (Pursuing)

Areas of interests:

Cloud Computing, System / Information Security
Assistant Professor
Dr. Vijay Shelake
Ph.D.(Tech.)(COMP.)

Areas of interests:

Database Systems, Data Privacy and Security
Assistant Professor
Dr. Vijay Shelake
Ph.D. (Computer Engineering)(Pursuing), M.Tech (Computer Engineering)

Areas of interests:

Machine Learning, Software engineering
Assistant Professor
Mr. Joshua Michael
Ph.D. (Computer Engineering)(Pursuing), M.Tech (Computer Engineering)

Areas of interests:

Generative AI, Machine Learning
Assistant Professor
Mr. Sachin Narkhede
Machine Learning, NLP, Robotics

Areas of interests:

Machine Learning, NLP, Robotics
Assistant Professor
Ms. Savita Sawant
Ph.D. Pursuing (Computer Science and Engineering)

Areas of interests:

Data structures, Programming languages, Operating systems
Assistant Professor
Mr. Flynn Jiu

ME (Electronics and Telecommunication)

Areas of interests:

IOT, Embedded Systems

Supporting Staff

Sr. Lab Assistant

Mr. Jiten Naik

Sr. Lab Assistant

Mr. Ajay Koli
Mechanic- Computer Support
Mr. Pankaj Yadav

Sr. Lab Assistant

Mrs. Pooja Banekar

Infrastructure

Facilities
All laboratories are well equipped with state-of-the-art technologies and required softwares. The department has 8 laboratories, providing support to different platforms. The entire campus has Wi-Fi facility encouraging students towards research and development. The department has 6 smart classrooms equipped with latest ICT tools to improve student’s classroom experience. There is also a dedicated classroom for conducting innovative teaching learning activities.

Advanced computing & Machine Learning Lab (601)

Faculty-In-charge: Prof. Supriya S. Kamoji & Prof. Sangeeta Parshionikar

This laboratory facilitates students to develop self-learning computer systems by combining algorithms and statistical models and in turn develop cutting edge applications. The laboratory has NVIDIA Tesla V100S having 32GB GPU, 2 physical processor which are capable of connecting 32 cores. Laboratory offers a platform for High Performance Computing to excel at both computational scientific simulation and Data Science to find insights of data.

Distributed Computing Lab (602)

Faculty-In-charge: Prof. Monica Khanore

This laboratory facilitates students  to analyze and design distributed applications, exploring various algorithms.This lab is fully equipped with different tools and technologies that helps students explore different aspects of distributed computing in various environments

Database Management System Lab (603)

Faculty-In-charge: Prof. Jagruti Nagaonkar & Prof. Heena Pendhari

This laboratory facilitates students to provide a strong formal foundation in database concepts, technology and practice to the students to groom them into well-informed database application developers. The laboratory is facilitated with Postgresql, pg Admin III  and MySQL workbench to gain hands-on experience of databases, advance databases, and other related subjects.

Analysis of Algorithm Lab (604)

Faculty-In-charge: Prof. Ashwini Pansare & Prof. Prachi Patil

This laboratory facilitates students with  the requisite environment for design and analysis of algorithms to solve complex problems in the field of computer science. Students gain practical knowledge by writing and executing programs in different languages using various data structures and algorithm principles. The latest platforms compilers are provided to the students to run their programs.

CN & Security Lab (609)

Faculty-In-charge: Prof. Monali Shetty & Prof. Parshvi Shah

This laboratory facilitates students with hands-on exercises to learn how to design, build, secure, monitor and manage secure systems and heterogeneous networks. The lab is equipped with D-Link wireless LAN technologies including the Air Premier and unified wireless solution

Web Technology & Software Engineering Lab (611)

Faculty-In-charge: Prof. Roshni Padate & Prof. Prajakta Dhamnaskar

This laboratory facilitates students with hands-on experience on different aspects of Web technology and Software Engineering. The lab provides various tools and technologies to support development of software projects.

Computer Programming Lab (710)

Faculty-In-charge: Prof. Kalpana Deorukhkar & Prof. Kranti Wagle

This laboratory facilitates students to get the practical experience of solving real-world problems using computer programming. The laboratory contains 50 thin clients running on Ubuntu. Nodes are hosted to support various programming languages.

Research

Publications

Publications for the year 2023-24

1. Sushma Nagdeote; Heenakausar Pendhari; Omkar Shirsat; Raj Lad; Sujata Chiwande Esports analysis with data science AIP Conf. Proc. 2764, 060013 (2023) https://doi.org/10.1063/5.0144108

2. Praditi Rede; Sahaana Iyer; Sheetal Sharma; Sujata Deshmukh ” Blockchain Based Identity Management System Using Cryptography and Steganography” Publisher: IEEE DOI: 10.1109/ICIT58056.2023.10225957

3. Sujata Deshmukh, Prashant Deshmukh, Bhushan Patil , “Model for making industry 4.0 ubiquitous to improve national productivity requirements of Digital India”,Volume -12, Special Issue-7 (2023 ) European Chemical Bulletin doi: 10.48047/ecb/2023.12.si7.076

4. Pratik Harde, Ibin Babu, Prof. Prachi Patil, Prof. Monali Shetty, “Optimizing Crop Production: An Agronomic Advisor Application Based on Soil Nutrients”, European Chemical Bulletin, Volume -12, Special Issue-7 (2023 ) doi: 10.31838/ecb/2023.12.si7.303

5. Roshni Padate ,Amit Jain , Mukesh kalla , Arvind Sharma ,”Image caption generation using a dual attention mechanism”,Engineering Applications of Artificial Intelligence v Volume 123, Part A, August 2023, 106112. https://doi.org/10.1016/j.engappai.2023.106112

6. Roshni Padate ,Amit Jain , Mukesh kalla , Arvind Sharma ,”Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels” September 2023Multimedia Tools and Applications DOI:10.1007/s11042-023-16687-x

7. Nagdeote, S., Prabhu, S. A model to perform prediction based on feature extraction of histopathological images of the breast. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-16245-5,

8. Navigating Horizons – A Technical Exploration of Autonomous Drone Guidance – Trevelyn Noronha, Sandesh Raut, Vedant Patankar, Dr. Brijmohan Daga – IJFMR Volume 5, Issue 5, September-October 2023. DOI : 10.36948/ijfmr.2023.v05i05.6161

Publications for the year 2022-23

1. Pranav Gangurde, Melita Japhet. Clafacio Lobo, Nilesh Patil, Prachi Patil, “ResStorage – Blockchain Based Decentralized Resume Storage Application” ,in 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), August 2022

2. Varad Patil, Dhrumil Shah, Yash Sankpal, Prajakta Dhamanskar, Prajakta Bhangale, ” EARTHQUAKE MAGNITUDE PREDICTION USING NEURAL NETWORKS” Volume No. 14, Issue- 5 , October – December 2022 in Samriddhi: A Journal of Physical Sciences, Engineering and Technology, Impact Factor: 6.6, UGC Care Approved, Peer Reviewed and Referred Journal

3. Robin Lobo, Sonali Joshi, Joel Syrus Fernandes, Prajakta Bhangale, Prajakta Dhamanskar, “A COMPUTABLE STUDY ON TACTICS TOWARDS CRIME PREDICTION AND ANALYSIS”, Volume No. 14, Issue- 5 , October – December 2022 in Samriddhi: A Journal of Physical Sciences, Engineering and Technology, Impact Factor: 6.6, UGC Care Approved, Peer Reviewed and Referred Journal

4. Tanisha Harry Braganza; Fatima Felix Pereira; Sameeksha Pravin Rane; Kranti Wagle,”Multipurpose Application for the Visually Impaired”,2022 2nd Asian Conference on Innovation in Technology (ASIANCON),26-28 August 2022

5. Sumit Kothari, Sujata Deshmukh, Samarth Mehta, “Comparison of Age, Gender and Ethnicity Prediction Using Traditional CNN and Transfer Learning”, 13th IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) 2022, October 3rd – 5th, 2022

6. “Optimal Hybrid LSTM-RNN for Image Captioning with Deep Features”, Kalpana Deorukhkar, Satish Ket, International Conference on Embracing Industry 4.0 Technologies for Sustainable Growth (ICEI 4.0), April 2022.

7. Brendan Lucas, Aditya Mahamuni, Vinyas Kulal, Abhi Gupta, Kalpana Deorukhkar, “Affordable Real-Time Heart Rate, ECG & SpO2 Monitoring System Using Internet of Things (IoT)”, Volume 10, Issue XI, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No: 1852-1858, ISSN: 2321-9653, www.ijraset.com

8. Ron George, Prof. Swati Ringe, Clayton Almeida, Akshay Naphade,”Resolving the Data Imbalance problem in Fraud Detection Using Sampling and Machine Learning Techniques”, POSITIF Journal, Vol22 Issue 7 2022, ISSN NO : 0048-4911 https://doi.org/10.37896/psj30.7/1201

9. Thomas, M. and Meshram, B.B. (2023) “ChSO-DNFNet: Spam detection in Twitter using feature fusion and optimized Deep Neuro Fuzzy Network,” Advances in Engineering Software [Preprint], (175). Available at: https://doi.org/https://doi.org/10.1016/j.advengsoft.2022.103333.

10. Thomas, M. and Meshram, B.B. (2022) “A Brief Review of Network Forensics Process Models and a Proposed Systematic Model for Investigation,” Intelligent Cyber Physical Systems and Internet of Things [Preprint], (Chapter 45). Available at: .DOI : 10.1007/978-3-031-18497-0

11. Merly Thomas, B. B Meshram, “Combating the Distributed Network Attacks using A Proposed Progressive Analyzer based on an Ensemble Learning Framework”, 13th IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) 2022, October 3rd – 5th, 2022

12. Pranav Gangurde, Melita Japhet. Clafacio Lobo, Nilesh Patil, Prachi Patil, “ResStorage – Blockchain Based Decentralized Resume Storage Application” ,in 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), August 2022

13. Vijay Shelake, Narendra Shekokar, Cyber Security Threats and Challenges Facing Human Life (1st ed.). Chapman and Hall/CRC, Taylor & Francis, 2022

14. Vijay Shelake, Vijay Pare, A Review of Similarity Matching Over Encrypted Data, ICAST – International Conference on Advances in Science and Technology, IEEE, 2022

15. Gonsalves and S. Deshmukh, “Designing an Interactive Chatbot for Educational Assistance using Rasa Framework,” 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2023, pp. 68-74, doi: 10.1109/IDCIoT56793.2023.10053457

16. Jagruti Nagaonkar,Riddi Oza,Ayukshi Rane,Godsee Almeida,Shaun Dabre,”Fake Profile Detection on Matrimonial Sites using Random Forest Classifier”,Vol 10,Issue 3,March2023,International Journal of Engineering Research in Computer Science and Engineering (IJERCSE),ISSN : 2394-2320

17. Siddhesh Khawale, Vijay Shelake, An Ensemble Technique for Entity Matching, in Proc. of 1stI nternational Conference on Recent Trends in Multidisciplinary Research and Innovation ICRMIR-23 Organised by Lokmanya Tilak College of Engineering On March 17-18, 2023

18. Monali Shetty*, Samarth Mehta, Sumit Kothari & Dr. Sharvari Tamane, “Review Helpfulness Prediction using Deep Learning”, Computer Integrated Manufacturing Systems, 28(11), 673–685. (SCOPUS)

19. Nagdeote, S., Pendhari, H., John, M. and Agrawal, S. (2023) “An Approach to Detect Driver Drowsiness in Real Time using Facial Landmarks”, SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 15(01), pp. 161-165. doi: 10.18090/samriddhi.v15i01.21.

20. S. S. Chiwande, P. Meshram, A. Charde, S. Bhave and S. Nagdeote, “Machine Monitoring for Industry using Computer Vision,” 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India, 2022, pp. 1-4, doi: 10.1109/IATMSI56455.2022.10119424.

21. S. Nagdeote and S. Prabhu, “A Review on Computer-assisted Techniques to Analyze Histopathological Images of the Breast,” 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), Aligarh, India, 2023, pp. 1-6, doi: 10.1109/PIECON56912.2023.10085880

22. Jagruti Nagaonkar,Savit nair,Akhil mani,Reuben dsa,Erica Mathias”Sign Language Translator”, International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m55-m60, May-2023(DOI : http://doi.one/10.1729/Journal.34494)

23. Rahul Bothra,Asher lopez, preeti V, Dillon G, Jagruti Nagaonkar,”Complete healthcare assistance using Machine Learning”International Journal of Scientific Research in Engineering and Management (IJSREM) on Volume 07, Issue 06 June 2023,ISSN:2582-3930.(https://www.doi.org/10.55041/IJSREM22793)

24. Jagruti Nagaonkar,Pankaj Gharge,”Advance Ration Distribution System Using IOTand GSM”,International Journal for Research in Applied Science & Engineering Technology (IJRASET),ISSN: 2321-9653,Volume 11 Issue VI ,Jun 2023

25. Kamoji, Supriya, and Mukesh Kalla. “Effective Flood prediction model based on Twitter Text and Image analysis using BMLP and SDAE-HHNN.” Engineering Applications of Artificial Intelligence 123 (2023): 106365

26. Dias, Mario, Hansie Aloj, Nijo Ninan and Supriya Kamoji. “First Aid and Emergency Assistance Robot for Individuals at Home using IoT and Deep Learning.” In 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1261-1269. IEEE, 2023

27. Kamoji, Supriya, Mukesh Kalla, “A Framework for Flood Extent Mapping using CNN Transfer Learning.” International Journal of Intelligent Systems and Applications in Engineering 10.3s (2022): 150-157.

28. Kamoji, Supriya, Mukesh Kalla, and Chandani Joshi. “Fusion of Multimodal Textual and Visual Descriptors for Analyzing Disaster Response.” 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 2023

29. Kamoji, Supriya, et al. “Analysis of Flood using GIS Parameters in Context of Sustainable Management.” 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2022

30. Supriya Kamoji, Nair Dhananjay Jayaprakash, Chacko Bibin Biju,George Anna Benoy”Data analytics for disaster management response using sentiments”, International Conference on Sustainable Computing and Smart Systems (ICSCSS-2023), 14-16, June 2023 | Coimbatore, India

31. Ayush Yadav, Supriya Kamoji “Artificial Intelligence Enhanced Content Management Systems: Integration, Considerations, and Useful Examples” 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN 2023) 19-20, June 2023 | Salem, India

32. Sarah Abraham, Ivan Dsilva , Malaika Monteiro, Kris Corriea,”Enhancing Grocery Accessibility with OCR: A User-Centered Design Approach”,International Journal for Multidisciplinary Research (IJFMR),E-ISSN: 2582-2160

33. Unik Lokhande, Xenus Gonsalves, Royce Rumao, Kallis Fernandes, Greatson Lobo, “Smart System for Visually Impaired People “, International Journal for Research in Applied Science & Engineering Technology (IJRASET) Volume 11 Issue VI Jun 2023

34. Heenakausar Pendhari, Pooja Banjan, Unnati Kotian, Merly Corriea, Sebastina Eliza,”Crime Occurences,Analysis and Perdiction using Machine Learning”Gradiva Review Journal Volume 9, issue6, June 2023 ISSN NO: 0363-8057

35. Heenakausar Pendhari, Rasika Virkar, Betsy Edakkalathur, Akshata Jadhav,” A Comparative study on Algorithms for plant disease detection using transfer Learning” ICIRCA 2023, IEEE

36. Heenakausar Pendhari, Rasika Virkar, Betsy Edakkalathur, Akshata Jadhav,” A Comparative study on Algorithms for plant disease detection using transfer Learning” ICIRCA 2023, IEEE

37. Pratik Harde, Ibin Babu, Prof. Prachi Patil, “Optimizing Crop Production: An Agronomic Advisor Application Based on Soil Nutrients” European Chemical Bulletin, ISSN 2063-5346, Volume 12, Issue 7, Page: 3486– 3493, July 2023

38. Jonathan Duarte, Shreyas Bhat, Rishabh Gupta, Saikiran Kasturi, Prof. Prachi Patil “Blockchain-Enabled Skill Attestation System” International conference on Recent Advances in Information Technology (ICRAIT 2023) , June 2023

39. Amanda S., Ashton S, Kashish S, Riya K, Monali Shetty “Machine Learning Based Wage Increase Through Employee Performance Monitoring”, International conference on Recent Advances in Information Technology (ICRAIT 2023) , June 2023

40. Chiris D’silva, Nigel Misquitta, Shoydon Alphanso and zeal rodrigues, “Attendance System using Face Recognition”, International Journal of Scientific Research in Engineering and Management (IJSREM), Volume: 07 Issue: 06

41. Sujata Deshmukh, Prashant Deshmukh, Bhushan Patil, “Model for making industry 4.0 ubiquitous to improve national productivity requirements of Digital India”, European Chemical Bulletin (Eur. Chem. Bull.) 2023, 12(Special Issue 7),987-999

Publications for the year 2021-22

1. Sujata Deshmukh, Bhushan Patil, Ketaki Joshi,Chinmay Gaonkar,Ms. Prerna Pallan,Sumedh Bhatkar, “A Novel Method For IOT Based Smart Traffic System”, Industrial Engineering Journal, Vol. XV & Issue No. 06 June – 2022-UGC approved Journal

2. Deshmukh Sujata,Khasgiwala, Y., Castellino, D.T,” A Decentralized Federated Learning Paradigm for Semantic Segmentation of Geospatial Data” , International conference on Intelligent Computing & Optimization. ICO ,In: Vasant, P., Zelinka, I., Weber, GW. (eds) , 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham, 01 January 2022,  https://doi.org/10.1007/978-3-030-93247-3_20 

3. Sujata Deshmukh, P. Rede, S. Sharma and S. Iyer, “Voice-Enabled Vision For The Visually Disabled,” 2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), 2021, pp. 1-6, doi: 10.1109/ICAC353642.2021.9697125- Scopus indexed 

4. Sujata Deshmukh, Candida Noronha, Lizel Farnandes, Gini Chacko ,”Virtual E-mail Assistance for The Visually Impaired”, IEEE Conference on Technologies for Future Cities 2021 (CTFC 2021), 8th & 9th October 2021.

5. Sujata Deshmukh, Amurto Basu, Sarvesh Kulkarni, Shubham Mishra, Prashant Deshmukh, Bhushan Patil,” Disaster Damage Assessment of Satellite Images Using Transfer Learning With Fine Tuning” , Journal of Engineering, Project, and Production Management, 2022-Scopus indexed  

6. V. Rao, B.T. Patil, V Shaikh, D.S.S Sudhakar, Sujata Deshmukh , “Investigation of Surface Roughness and Cutting Temperature Parameters in Turning AISI 4340 Steel using MQL Mist Technique with Nano-Fluids (n-Al2O3, n-MoS2 & n-GrapheneJ mixed in Edible Vegetable Coconut Oils”, Journal of Engineering, Project, and Production Management. 2022-Scopus indexed [Accepted through RGIT ICEI4.0]

7. Dipali Bhise, B.T. Patil, V Shaikh, D.S.S Sudhakar, Sujata Deshmukh, “ Comparative Economic Analysis and Investigation of Micro Lubrication Over Conventional Cooling in manufacturing“Journal of Engineering, Project, and Production Management”. 2022-Scopus indexed [Accepted through RGIT ICEI4.0]

8. Monali Shetty, S. Shetty, J. Dsouza “Cyberbullying Detection in Native Languages”, Springer , International conference on soft computing for security applications,2021

9. Ashwini Pansare,S. I. Amjad Abidi, A. A. Almeida, L. G. Soares and  “Interactive Map Application For Real-Time Crime Reporting,” 2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), 2021, pp. 1-8, doi: 10.1109/ICAC353642.2021.9697179.

10. Mario Dias, Hansie Aloj, Nijo Ninan, Dipali Koshti”,”BERT Based Multiple parallel Co-attention for Visual Question Answering”, 6th International IEEE conference ICICCS 2022, May 25-27 2022.

11. Ashwini Pansare,Sanath Shetty, Ganesh Reddy, Princely Lopes , ” cyber bullying detection System” 4 th International conference PICET 2022 , AIP publishing, Scopus indexed

12. Supriya Kamoji  , Mario Dias  , Hansie Aloj  and Nijo Ninan, “First Aid and Emergency Assistance Robot for Individuals at Home using IoT and Deep Learning Models” International Conference on Embracing Industry 4.0 Technologies for sustainable growth, April 2022, 

13. Swati Ringe, Davin Barboza, Sanfer Noronha, Mayank Srivastava, “food ordering assistant with dish recognition and recommendation system”ICRTTEAS 2021 held on 19-20 July 2021

Publications for the year 2020-21

1. Vedant S., Jason D., Mayank S., Mahendra M., Dhananjay K. (2021) Leveraging Deep Learning and IoT for Monitoring COVID19 Safety Guidelines Within College Campus. In: Garg D., Wong K., Sarangapani J.Gupta S.K. (eds) Advanced Computing. IACC 2020. Communications in Computer and Information Science,vol 1367. Springer, Singapore. https://doi.org/10.1007/978-981-16-0401-0_3.

2. Samarjeet Kaur, Vedant Sahai, Aditi Jaiswal , Sayonsom Chanda,” Knowledge Mining for Defining Systemic Engineering Practices, 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2020), pp. 1346-1352, doi: 10.1109/ICECA49313.2020.9297380

3. Benita Rego, Nolita Rego, Mohit Kunder, “Social Media Analysis for Mental Health Evaluation” International Journal for Research in Applied Science & Engineering Technology (IJRASET), ISSN: 2321-9653, pp. 1453-1460, Volume 9 Issue IV Apr 2021. doi: https://www.doi.org/10.22214/ijraset.2021.33962
Source: https://frcrce.ac.in/index.php/crce-department/comp-engg/comp-research/comps-publications

4. S. Kaur, V. Sahai, A. Jaiswal and S. Chanda, “Knowledge Mining for Defining Systemic Engineering Practices,” 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020, pp. 1346-1352, doi: 10.1109/ICECA49313.2020.9297380

5. D. Koshti, S. Kamoji, K. Cheruthuruthy, S. P. Shahi and M. Mishra, “A Detection, Tracking and Alerting System for Covid-19 using Geo-Fencing and Machine Learning,” 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), 2021, pp. 1499-1506, doi: 10.1109/ICICCS51141.2021.9432254

6. Swati Ringe ,Sharwari Marathe, Rajesh Manjrekar, Raksha Shetty,”Teaching pre-schoolers using VQA : A Web app that answers natural language questions.”, Zeichen Journal, ISSN No: 0932-4747, September 2020, Vol 6, Issue 9, pp.64-71

7. Swati Ringe ,Vedant Sakhardande, Cajetan Rodrigues, Atharva Atre, “Drone Delivery-Application and Path Optimization”, Alochana Chakra Journal , September 2020, Vol 9, Issue 9

8. Ashwini Pansare, Simran Gadkari, Jnnell Mathians , Merlin P, ” categorization of diabetic retinopathy and identification of characteristics to assist effective diagnosis” in 3 rd IEEE international conference on ” Emerging smart computing nad informatics” on 5th-7 th March 2021

9. Mahendra Mehra,Steve D’Costa, Ryan D’Mello, Joseph George and Dr. D.R. Kalbande , “Leveraging Deep Learning for Nail Disease Diagnostic”, 4th Biennial International Conference on Nascent Technologies in Engineering, IEEE Conference(Scopus indexed) , Jan 2021

10. Monali Shetty, Sankalp Rane, ”Selection of optimal cricket team based on the players performance”, IEEE XPLORE ISBN:978-1-7281-5371-1, International Conference on Communication and Electronics Systems 2020 -July 2020

11. Supriya Kamoji , Dipali Koshti ,” Joshua Noronha, Smart Street lamps A solution to Urban Pollution”, 2nd International Conference on Inventive Research in Computing Applications ( ICIRCA) 2020 organized by RVS college of Engineering and Technology , Coimbatore, India, on 15-17 , July 2020

12. Carol Sebastian, Princeton Baretto,Sherwin Pillai,Supriya Kamoji ,”Virtual assistance using question generation/ Answering “, IEEE Sponsored International Conference on Communication, Information and Computing Technology (ICCICT 2021), June 25-27-2021, Organised by SPIT Mumbai, India

13. Yameen Ajani, Krish Mangalorkar and Yohann Nadar “Homomorphic Encryption for Secure Conversations with AI Bots over Cloud to Prevent Social Engineering Attacks” , accepted in ICAITR 2021 by VIT Mumbai

14. Bilonikar Shreya, Mendonca Carol, Phadakale Divita, ” Blockchain based model of royalty payments of artists and remix-makers” in International Conference on Smart Data Intelligence(ICSMDI 2021), 29th April 2021, Organized by Kongunadu College of Engineering and Technology, Trichy, Tamil

15. Roshni Padate , Dhananjay Chobhe ,Davina Pinto ,“Fire Detection System Using Convolutional Neural Network”,Alochana Chakra Journal ,Volume IX, Issue XII,June 2020,ISSN NO: 2231-3990.Scientific Journal Impact Factor –6.3

16. Roshni Padate , Dhananjay Chobhe ,Davina Pinto ,“Fire Detection System Using Convolutional Neural Network”,Alochana Chakra Journal ,Volume IX, Issue XII,June 2020,ISSN NO: 2231-3990.Scientific Journal Impact Factor –6.3

17. Sherwyn Dsouza,Darlene Nazareth, Cassia Vaz, Prof. Monali Shetty, “Blockchain and AI in Pharmaceutical Supply Chain”, Elseveir SSRN , Inernational Conference on Smart Data Intelligence ICSMDI 2021

18. Sharwari Marathe, Monali Shetty,” Comparative Study of Botnet Detection System using Different MachineLearning Algorithms”, SCOPUS UGC-CARE Approved group-II Journal

19. K. Hariharan, A. Lobo and S. Deshmukh, “Hybrid Approach for Effective Disaster Management Using Twitter Data and Image-Based Analysis,” IEEE-2021 International Conference on Communication information and Computing Technology (ICCICT), SPIT, Mumbai, 2021, pp. 1-6, doi: 10.1109/ICCICT50803.2021.9510029

Publications for the year 2019-20

1. Pradya Borkar, Merlyn Pulinthitha, Ashwini Pansare “Match Pose – A System for Comparing Poses”,International Journal of Engineering Research & Technology (IJERT),ISSN: 2278-0181,Vol. 8 Issue 10, October-2019

2. M. Mehra, D. R. Kalbande, S. Mankar and S. Mutsaddi, “Data Mining in Educational Systems for Effective Student Mentoring,” 2019 International Conference on Advances in Computing, Communication and Control (ICAC3), 2019, pp. 1-5, doi: 10.1109/ICAC347590.2019.9036803

3. Simran Gadkari, Jenell, Ashwini Pansare,” Analysis of pre trained Convolutional Neural Networks to Build  a Flower Classification System”, IJRASET, Volume 7, Issue XI, Nov 2019, ISSN:2321-9653, DOI:10.22214/ijraset.2019.11079

4. Pradnya Borkar, Marilyn Pulinthitha, Mrs. Ashwini Pansare, “Match Pose – A system for Comparing Poses”, International Journal of Engineering Research and Technology, Volume 8, Issue 10, October -2019. ISSN 2278-0181

5. Ashley Lobo, Kartick Hariharan , Suyash Sreekumar , Monali Shetty,” Time Optimal long distance trip planning for electric vehicles”, 2019 5th International Conference on Computing Communication Control and Automation ICCUBEA – IEEE conference,2019. ISSN: 978-1-7281-4042-1/19. http://doi.one/10.1729/Journal.23359

6. Kamoji S., Koshti D., Peter R. (2020) Analysis of Growth and Planning of Urbanization and Correlated Changes in Natural Resources. In: Raj J., Bashar A., Ramson S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Publisher Springer, Cham.Print ISBN: 978-3-030-38039-7, Online ISBN: 978-3-030-38040-3

DOI:  https://doi.org/10.1007/978-3-030-38040-3_23

7. D. Koshti, S. Kamoji, N. Kalnad, S. Sreekumar and S. Bhujbal, “Video Anomaly Detection using Inflated 3D Convolution Network,” 2020 International Conference on Inventive Computation Technologies (ICICT), 2020, pp. 729-733, doi: 10.1109/ICICT48043.2020.9112552

8. M. Mehra, V. Sahai, P. Chowdhury and E. Dsouza, “Home Security System using IOT and AWS Cloud Services,” 2019 International Conference on Advances in Computing, Communication and Control (ICAC3), 2019, pp. 1-6, doi: 10.1109/ICAC347590.2019.9089839

9. S. Kamoji, D. Koshti, A. Dmonte, S. J. George and C. Sohan Pereira, “Image Processing based Vehicle Identification and Speed Measurement,” 2020 International Conference on Inventive Computation Technologies (ICICT), 2020, pp. 523-527, doi: 10.1109/ICICT48043.2020.9112419

10. Dr. Brijmohan Daga,  Juhi Checker, Sayali Deo, Anne Rajan,” Computer Science Career Recommendation System using Artificial Neural Network”, IJCTT, 20 Voulme 68, Issue 3, ISSN: 2231-2803. March 2020. doi: 10.14445/22312803/IJCTT-V68I3P117

11. Yashom Dhige, Yash Turkar,  Cristo Aluckal, Yogesh Agarwadkar, Dr. Sunil Surve, “Dynamic path planning system for UAV remote sensing in urban environments”, National Symposium on Innovations in Geospatial Technology for sustainable Development with special emphasis on NER, ISG, ISRS, Shillong, Meghalaya, India, November 20-22, 2019, https://doi.org/10.1007/s10846-020-01151-x.

12. H. Tulapurkar, V. Turkar, B. K. Mohan and Y. Turkar, “Curvelet Based Watermarking Of Multispectral Images And Its Effect On Classification Accuracy,” 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), 2019, pp. 1-7, doi: 10.23919/URSIAP-RASC.2019.8738393.  https://doi.org/10.23919/URSIAP-RASC.2019.8738393

13. Cristo Aluckul, Yash Turkar, Yashom Dhige, , Sumedh Deshpande, , B. K. Mohan, Yogesh Agarwadkar, Sunil Surve, Brijmohan Daga, “Dynamic real-time indoor environment mapping for Unmanned Autonomous Vehicle navigation,” 2019 International Conference on Advances in Computing, Communication and Control (ICAC3), 2019, pp. 1-6, doi: 10.1109/ICAC347590.2019.9036813.

14. Rochelle Cordeiro, Anol Kurian, Brinel D’souza, Brijmohan Daga, “Automated training for Job Interviews”, International journal of computer trends and technology(IJCTT), 68(3),74-79.March 2020, doi: 10.14445/22312803/IJCTT-V68I3P115

15. Roshni Padate, Dhanajay Chobhe, Davina Pinto,” Fire detection system using convolutional neural network”,  International Journal Of Scientific & Technology Research, Volume 9, Issue 04, ISSN 2277-8616 , APRIL 2020, doi: 10.14445/22312803/IJCTT-V68I3P115

16. Dipali K.Bhise, Bhushan T.Patil,Vasim A.Shaikh,Sujata P.Deshmukh, “Investigating the microlubrication flow inside the nozzle using computational fluid dynamics”, Materials Today:

Publications for the year 2018-19

1. Christi Pereira , Sujata Dekhmukh, “Virtual walk-through of stitched image using cylindrical projection”, IEEE International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering – (ICRIEECE), July 27th- 28th, 2018.

2. Prof. Kalpana Deorukhkar, Ms. Malita Dodti, Ms. Anisa Tuscano, “Triplet based Partitioning on Document Clustering”, International Journal of Scientific & Engineering Research , Volume 9, Issue 10, October-2018, ISSN 2229-5518

3. Vishwesh Hande, Supriya Kamoji, “Prediction of Cardio Vascular Disease- A review Publication”,IJRASET”,Volume7, Issue 4, April 2019, ISSN: 2321-9653, DOI:10.22214

4. Dipali Koshti, Scarlet Lopes,”Prediction of tourism flow in India Using LSTM Model”, Journal of Emerging Technologies and Innovative Research, Volume 5, Issue 5, May 2019,2349-5162, DOI:http://doi.one/10.1729/Journal.20564

5. Sunil Surve, Ms. Priti Jain, “Resource Centric Characterization and Classification of Applications Using KMeans for Multicores
“, 33rd IEEE International Conference on Information and Technology. Kaula Lumpur, Malaysia. (In press), Jan. 9-11, 2019

6. Sujata Deshmukh, Prashant Deshmukh, Bhushan Patil, G. T. Thampi, “Exploring the factors to make E-Commerce and M-Commerce ubiquitous and pervasive to improve national productivity of India”, International Journal of Productivity and Quality Management 1(1):1, DOI: 10.1504/IJPQM.2019.10019964, January 2019, Scopus indexed free Publication Journal, (In press)

7. B. S. Daga, Jason Dsouza, Ryan Furtado, Manupendra Tiwari , ” Authorship Identification: Naïve Bayes with XGBoost Approach” , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 8, Issue 3, May – June 2019 , pp. 001-007 , ISSN 2278-6856.

8. B.S. Daga, Glaston Dsouza, Aadesh Bassi, Lionel Lobo , ” Speech Emotion Recognition using Convolutional Neural Networks” , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 8, Issue 3, May – June 2019 , pp. 008-013 , ISSN 2278-6856.

9. Monali Shetty, “Hybrid approach for Detection and Analysis of SQL and XSS vulnerabilities” , “International  Journal of  Engineering Trends  and  Technology(IJETT)  Vol-8 Number -4 ,  June 2017” DOI = 10.14445/22315381/IJETT-V59P206

10. Mufaddal Haidermota,Drishit Mitra ,Mrs.Ashwini Pansare “Classifying Twitter user as a bot or not”International Journal of Advanced Research in Computer Science, Volume 9,No 3,May-June 2018, DOI:10.26483/ijarcs.v9i3.5949

11. Mrs.Ashwini Pansare,Mrs.MonaliShetty ”Mood detection based on facial expressions”, International Journal of Engineering Trends and Technology”volume 48, 4-June 2017, DOI:10.14445/22315381/IJETT-V48P236

Publications for the year 2017-18

1. Christi Pereira , Sujata Dekhmukh, “An Improved Virtual Walkthrough from a 2D Stitched Image”, International Journal of Recent Trends in Engineering & Research, vol. 3, Issue 9, sept. 2017,  pg 1-5, DOI: 10.23883/IJRTER.2017.3422.QGI2I, 2017.

2. Swati Ringe, Vinayak Kini, Nigel Koli, Shreya Kamat,”Dashboard for Learning Outcome based Attainment Measurement”, International Journal on Future Revolution in Computer Science & Communication Engineering, Volume: 4 Issue: 5 , , May 2018, pg 97 – 99, ISSN: 2454-4248

3. Rahul Pereira,Swati Mukul ringe, Tracy Pereira, Darshi sheth, “Social Networking With Smart Education”, International Refereed Journal of Engineering and Science (IRJES), ISSN (Online) 2319-183X, (Print) 2319-1821, Volume 7, Issue 5 Ver. I (May 2018), PP. 30-34 Index: 10.183x/E0705013034

4. Slavvy Coelho,Ruchita Rozario, Rohit Sharma, Prof. Mahendra Mehra, “An IOT Based Smart Cubicle System for Effective Power Usage and Employee Monitoring in January 2018,IEEE Publication. 0976-5697. DOI: 10.1109/ICSCET.2018.8537319

5. Dhruva Gaidhani, Joshua Koyeerath, Neel Kudu, Prof. Mahendra Mehra. A SURVEY REPORT ON TECHNIQUES FOR DATA CONFIDENTIALITY IN CLOUD COMPUTING USING HOMOMORPHIC ENCRYPTION DOI: http://dx.doi.org/10.26483/ijarcs.v8i9.4746 , Volume 8, No. 9, September-October 2017 International Journal of Advanced Research in Computer Science ISSN/ISBN NO: 0976-5697

6. Mohit Khosla, Nishi Sheth, Mahendra Mehra, WEB APPLICATION FOR PROVIDING IMMERSIVE DEVELOPMENT & VISUALIZATION OF WEB PAGES, Volume 9, No. 3, May-June 2018 International Journal of Advanced Research in Computer Science, DOI: http://dx.doi.org/10.26483/ijarcs.v9i3.5936, ISSN No. 0976-5697

7. B. S. Daga, A. A. Ghatol, V.M. Thakare,(2017, June). “Semantic Enriched Lecture Video Retrieval System Using Feature Mixture and Hybrid Classification”. Advances in Image and Video Processing[Scopus-Online]. DOI:10.14738/aivp.53.2852, Vol 5(3),ISSN- 2054 -7414. Available: http://dx.doi.org/10.14738/aivp.53.2852

8. B. S. Daga, A. A. Ghatol, V. M. Thakare, “Silhouette based human fall detection using multimodal classifiers for content based video retrieval systems”, International Conference on Intelligent Computing, Instrumentation and Control Technologies, Published in IEEE Xplore, ISBN-978-1-5090-6106-8, 2017, doi: 10.1109/ICICICT1.2017.8342776

Publications for the year 2016-17

1. B. S. Daga,   A. A. Ghatol “Detection   of   objects   and activities   in    videos   using   spatial   relations   and   ontology   based   approach   in   video   database   system”.  International Journal of Advances in Engineering & Technology , december 2016, [Online]. Vol. 9(6),   ISSN – 2231 – 1963. Available: http://www.ijaet.org/media/9I36-IJAET0936228-v9-i6-pp640-650.pdf, DOI:10.7323/ijaet

2. Ashwini Pansare, Mood Detection based on Facial Expressions, International Journal of Engineering Trends and Technology (IJETT), Volume 48, Number 4, ISSN: 2231-5381, June 2017.

3. Samarth Jaykar Shetty, Badal Rakesh Thosani, Lenherd Deon Olivera, Supriya Kamoji, Controversial analysis: Sentimental Analysis of Twitter data, IJARCSSE, Volume 7, Issue 4, ISSN: 2277 128X, April 2017.

4. Monali Shetty, Mood Detection based on Facial Expressions, International Journal of Engineering Trends and Technology (IJETT) “ Volume 48, Number 4, ISSN: 2231-5381, June 2017.

Publications for the year 2015-16

1. Mangalwedekar Sindhuja, Surve Sunil K , Mangalvedekar H.A., “Error Propagation in Linear and Non-Linear Systems for False Data Injection Attack”, Proceedings of International Conference on Advances in Computing, Communication and Informatics (IEEE).

2. Sindhuja Mangalwedekar , Sunil Surve K, Mangalvedekar H.A. , False Data Injection Attacks and Detection Scenarios in the Power System, Proceedings of 2015 Annual IEEE India Conference (INDICON), 2015.

3. Ayushi Gupta, Chaitali Pawar, Blessy Antony, Swati Ringe, Aarogya-An intelligent Multi-Agent Paediatric System, IJSER, ISSN- 2229-5518, volume 7, Issue 2, February 2016.

4. Karan Diware, Vikram Rajpurohit, Nikit Kale, Swati Ringe, Data Mining and Text Analytics of Twitter Data, IJARCSSE, ISSN-2277128X, volume 6, Issue2, February 2016.

5. Karan Diware, Aakash Borade, Swati Ringe, A Holistic study of Top Data Mining Algorithms, IJARCSSE, ISSN-2277128X, volume 6, Issue2, February 2016.

6. Mrs. Ashwini Pansare,Purva Sakharkar,Shailesh fasale and Pawan Soni GIS Based Tourist Management System, International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 5, May 2016.

7. Monali Shetty, Alex Chirayath1, Shyam Padia2, Alfred Gonsalves, Cryptographic Key Exchange using Dual Tone Multi Frequency Generator, International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 11, November 2015.

8. Mahendra Mehra, Alex Chirayath, Alfred Gonsalves, Chinmayi Kulkarni Battery Optimization Of Android OS, (IJCSIT) International Journal of computer science and Information Technologies, VOL. 6 (5, 4361-4363, ISSN:0975-9646) , 2015.

9. Mahendra Mahendra Mehra, Alex Chirayath, Ruben Monteiro , Mobile Computing On Android Using Cloud Infrastructure, International Journal Of Computer Science And Mobile Computing, Vol.4 Issue.11, November- 2015, Pg. 77-83 Issn:2320-088x.

10. Mahendra Mehra, Alfred Gonsalves, Chinmayi Kulkarni, Ketankokane, Pratik Mali, A Tool For Preventing The Metasploit Attack on The Android OS , International Journal Of Computer Science And Communication, Networks (IJCSCN), Vol5, Issue5, ISSN 2249-5789.

11. Mahendra Mehra, Pranit Shinde, Saideep Shetty, A Survey Of Keystroke Dynamics As A Biometric For Static Authentication, International Journal of Computer Science And Information Security, Vol. 14, No. 04, ISSN 19475500, January 2016.

Publications for the year 2014-15

1. Mangalwedekar, Sindhuja; Surve, Sunil K., Measurement Sets in Power System State Estimator in Presence of False Data Injection Attack in the Proceedings of Advance Computing Conference (IACC), 2015 IEEE International , vol., no., pp.855,860, 12-13 June 2015.

2. Kadam, R., Shajahan, S. , Malegam, K. Wagle, K. Surve,Localization and tracking of indoor mobile robot with beacons and dead reckoning sensors IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), 2014.

3. Jeenal Shah, Sunil Surve, Varsha Turkar, Pancreatic Tumour Detection Using Image Processing, ICAC3, 2015.

4. Aakash Tiwari, Ashwini Pandit, Pratyush Mohapatra, Prof. Merly Thomas, Improving the prediction of players in IPL analytical system using Support Vector Machines (SVM) and Kernel functions”, International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-3,March-2015.

5. Swati Ringe, Rishabh Kedia, Anuj Poddar, Sahil Patel, HTML5 Based Virtual Whiteboard for Real Time Interaction in the 2015 ICAC3.

6. Swati Ringe, Dylan A, Hardik Agrawal, Various Approaches to achieve Data compression, IJERT , ISSN-2278-0181 vol. 4 Issue 3, March-2015.

7. Swati Ringe, Hardik Agrawal, Dylan Andrades, Approaches to optimize Bit Compression Algorithm, International Journal of Engineering Research and Technology (IJERT), Vol.4,Issue 03, ISSN:2278-0181, March 2015.

8. Roshni P, Aamna Patel, A survey on Image Retrieval system based on contents , IJETT ISSN:2231-5381 vol 21 , March 2015.

9. Roshni P , Review of image denoising techniques , International conference on Advance in Computer Communication and Control (ICAC3’15) ,FRCRCE, April 2015.

10. Roshni P. Medical image registration has been published in International conference on Advance in Computer Communication and Control (ICAC3’15), FRCRCE, April 2015.

11. Roshni P. Image encryption and decryption using AES algorithm has been published in international Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976-6464 Volume 6, Issue 1, January (2015), pp. 23-29.

12. Ashish B. Nair, Ishita M. Raut, Sangeeta Joseph, Prof. Dipali Koshti, Content Retrieval and Protection of Smart Phone through Remote Access, International Journal of Engineering and Technical Research, ISSN: 2321-0869, Volume-3, Issue-4, April 2015.

13. Supriya Kamoji1, Aswathi Nambiar2, Karishma Khot3, Ravi Bajpai4, Dynamic Vehicle Traffic Management System, IJRET-International Journal of Research in Engineering and Technology eISSN: 2319-1163, pISSN: 2321-7308

14. Monali Shetty, Tejas Puranik, Swati Jaybhaye, Swapnali Ghos Alkar, “Analysis of Elliptic Curve Cryptography for Mobile Banking” published in International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 3 Issue 7, July 2014.

15. Monali Shetty,Priyali Patil, Akshita Gandotra, Shivam Mishra, “An Efficient Mobile Voting System Scheme Based on Elliptic Curve Cryptography” published in International Journal of Scientific & Engineering Research, Volume 6, Issue 4, 1736 , ISSN 2229-5518, April 2015.

16. Mandeep Rana, Pooja Candorkar, Alisheeba, Kazi Nikahat, Breast Cancer Diagnosis and Recurrence Prediction Using Machine learning Techniquesâ, IJRET “ International Journal of Research in Engineering and Technology,e-ISSN:2319-1163,p-ISSN:2321-7308,Volume 4, Issue 4, April 2015.

Publications for the year 2013-14

1. Nikita Agwankar, Sunil Surve and Sapna Prabu, Development Of Robust Security Options For Portable Data Storage Media, MULTICON-W 2014, International Conference & Workshop On Advance Computing, March 2014.

2. Radhika Nayak, Sunil Surve and Sapna Prabu, Computational Complexity Based Development Of Embedded System, MULTICON-W 2014, International Conference & Workshop On Advance Computing, March 2014.

3. Ritesh Meshram, Sunil Surve. Formation Control For Wheeled Mobile Robots, in International Journal Of Scientific & Technology Research Volume 3, Issue 5, Issn 2277-8616, May 2014.

4. Radhika Nayak, Sunil Surve and Sapna Prabu, Reduction in computational complexity-A Face Recognition Case study, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 2, February 2014.

5. Nikita Agwankar, Sunil Surve and Sapna Prabu, Security For Portable Data Storage Media, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 1, January 2014.

6. Brijmohan Daga, Content based video retrieval using color feature: an integration approach, Springer-Verlag Berlin Heidelberg, Communications in Computer and Information Science, Vol 361, ISBN – 978-3-642-36320-7, pp. 609-619, 2013.

7. H.B.Kekre, T.K.Sarode and J.K.Save, Classification of Image Database Using Independent Principal Component Analysis, International Journal of Advanced Computer Science and Applications, IJACSA, Vol. 4, pp. 109-116, 2013.

8. H.B.Kekre, T.K.Sarode and J.K.Save, An Efficient Method for Similarity Measure in Independent PCA based Classification, International Journal of Computers and Technology, IJCT, Council for Innovative Research, Vol.9, No.2, pp. 1099-1109, July 2013.

9. J.K.Save, “Performance Evaluation of Cyclic code in digital watermarking of audio signal,” International Conference on Advances in communication and computing technologies (ICACACT) Aug, 2013.

10. Tushar nadkarni1, Swati Ringe2, Multithreaded Web Crawler, International Journal for Research and Development in Engineering (IJRDE), Vol.2, Issue.2, pp-29-31 www.ijrde.com, November-December 2013.

11. Roshni P, Nilesh G. , Automated Leading vehicle distance measurement based on image processing theory , IJECIERD ISSN:2249-684x Vol. 4, Issue 3, Jun 2014.

12. Ms. Ashwini Pansare,A review of AODV based routing protocols for Manet, International journal of advanced research in computer science, Volume 4, number 9, July-August 2013.

13. Kalpana D.”Implementing Open Source Based Private Cloud”, volume 1, issue 4, Jan 2014, IJARCSS Edit, 2014.

14. Kalpana D. “Performance assessment of CLARANS: A method for clustering objects for Spatial Data Mining”, GIFRE, 2013.

15. Supriya Kamoji, Rohan Mankame, Aditya Masekar , Abhishek Naik, Key Frame Extraction For Video Summarization Using Motion Activity Descriptors IJERT, eISSN:2319-1163, Vol.3, Issue 03, March-2014.

16. Ms. Supriya Khomoji, Evaluation of Students Performance Based on Formative Assessment using Data Mining, International Journal of Computer Application “IJCA, ISBN 973-93-80874-02-4, Vol. 67, Number 2, November 20, 2013.

17. Nikahat Kazi and Shalini Bhatia, Various artificial intelligence techniques for automated melody generation, International Journal of Engineering Research and Technology (IJERT) ISSN: 2278-0181, Vol. 2, Issue 7, pp: 1646 “ 1652, July 2013.

Projects

Sr. No.Name of the Principal InvestigatorProject TitleYearAmountFunding AgencyStatus
Year 2019-2020
1Dr. Sunil SurveArtificial Intelligence GPU with Deep Learning Lab2019-20Rs. 1040800AICTECompleted
2Prof. Swati RingeUnmanned Aerial Vehicle – Logistics for medical and food supply2019-20Rs. 30000University of MumbaiCompleted
3Prof. Dipali KoshtiSmart cradle for reducing risk of SIDS2019-20Rs. 25000University of MumbaiCompleted
4Prof. Roshni PadteReal Time Fire Detection and Suppression System using AI2019-20Rs. 25000University of MumbaiCompleted
5Prof. Kalpana DeorukhkarAssistant to the Hearing Impaired (Speech Recognition)2019-20Rs. 25000University of MumbaiCompleted
6Prof. Mahendra Mehra (co-Investigator) Prof. Nilesh Patil (Principal Investigator)Audio Classification with Wireless Sensor Networks using Machine Learning for Home Security2019-20Rs. 40000University of MumbaiCompleted
Year 2018-2019
1Ashwini A. PansareIntelligent Waste collector2018-19Rs. 25000/-University of MumbaiIn Progress
2Dr. Sunil K. SurveAdvanced Autonomous systems for UAV2017-18Rs. 46000/-University of MumbaiCompleted
3Sunil D. ChaudhariSmart Wearable for senior citizens using Internet of Things (IoT)2017-18Rs. 30000/-University of MumbaiCompleted
4Mahendra C. MehraAn IOT based students attendance management system for automated report generation and analysis using data mining2016-17Rs. 27000/-University of MumbaiCompleted
5Dipali Y. KoshtiSmart greenhouse using Internet of Things2016-17Rs. 25000/-University of MumbaiCompleted
6Supriya S. KamojiSmart children safety system in school bus transport using RFID and android2016-17Rs. 20000/-University of MumbaiCompleted

Grants

Department has received  AICTE’s Training and Learning Academy  (ATAL ) grant to conduct  offline FDP programs  on following topics in academic year 2023–2024.
Institutional Restructuring and Strengthening Autonomy Through NEP
Application number: 1691664841 from 20th- 25 th November 2023
Blockchain Technology: Architecture and its Application
Application number 1691387687 from 4th-9th December 2023
Semiconductor Digital System Design and Verification
Application number: 169139210 from 11th-16th Dec 2023
The department has also received the AICTE MODROB grant in the year 2019-2020.

Final Year Projects

Innovative Teaching and Learning Practices

Innovative teaching methods play a pivotal role in modern education by redefining the classroom experience. They foster engagement, critical thinking, and creativity among students, transforming passive learners into active participants. Through the integration of technology, real-world relevance, and personalized approaches, these methods equip students with the skills and adaptability needed for the ever-changing demands of the 21st century. Moreover, they empower educators to continuously enhance their teaching practices, making education a dynamic and effective process that prepares students not just for exams, but for lifelong learning and success in an evolving world.
Virtual Labs:
1. Virtual Lab -C Programming
A virtual lab for C programming provides an innovative and accessible platform for students to learn and practice programming skills. It offers a simulated environment where learners can write, compile, and run C code without the need for physical hardware or installations. Virtual labs typically include a variety of programming challenges, exercises, and debugging scenarios, allowing students to gain hands-on experience and develop problem-solving skills. This virtual approach makes learning C programming more flexible and convenient, enabling students to experiment and refine their coding abilities from anywhere with an internet connection.
2. Virtual Lab- Natural Language Processing (NLP)
A virtual lab for Natural Language Processing (NLP) is a dynamic online environment designed to empower researchers, students, and practitioners to explore the intricacies of NLP without the constraints of physical resources. Within this virtual ecosystem, users can access pre-configured software, libraries, and datasets, allowing them to conduct experiments, build models, and fine-tune algorithms for tasks like sentiment analysis, language translation, and text summarization. This digital playground not only fosters hands-on learning but also promotes collaboration and experimentation in the ever-evolving field of NLP. It democratizes access to NLP tools and technologies, making NLP research and development more accessible to a broader audience.
3. Virtual Lab- Data Structures
A virtual lab for Data Structures provides an interactive and digital environment for students and learners to delve into the world of fundamental data structures. It offers a platform where users can explore, implement, and experiment with various data structures such as arrays, linked lists, stacks, and queues. This virtual space typically includes programming environments that support popular languages like Java, or Python, enabling users to code and test their data structure implementations in real-time. Additionally, it often includes visualization tools to help users understand the inner workings of these data structures, making it a valuable resource for computer science education and programming skill development.
4. Virtual Lab- Algorithms
A virtual lab on the Analysis of Algorithms is a powerful educational tool that allows students and researchers to explore and experiment with various algorithmic concepts and techniques in a digital environment. It provides a safe and convenient platform for analyzing the efficiency, complexity, and performance of algorithms without the need for physical equipment or resources. Through simulations, students can gain hands-on experience in evaluating algorithms, comparing their runtime behavior, and understanding the underlying principles of algorithm design. This virtual lab fosters a deeper understanding of the critical role that algorithm analysis plays in computer science and equips learners with essential skills for solving real-world computational problems efficiently.

Link to the virtual lab- http://infra.fragnel.edu.in:3170/#

Link to the feedback of the virtual lab- https://forms.gle/QoLrq63wvZB1Eiy37

Attachments:

Placement, Higher Studies and Internship

Computer Engineering Placement Data

Our Department has a remarkable track record when it comes to student placements. Year after year, a significant percentage of our graduates secure promising job opportunities with renowned companies in their respective fields. Our dedicated career services team, in collaboration with industry partnerships, plays a pivotal role in ensuring our students are well-prepared and market-ready. With a focus on skill development, internships, and fostering a culture of innovation, our department empowers students to excel in their chosen careers. This consistent success in student placements not only reflects the high quality of education we provide but also the enduring trust that industry leaders place in our graduates.
Item2024-252023-242022-232021-222020-212019-202018-192017-18
Highest Package13.00 LPA18.00 LPA17.75 LPAINR 30 LpaINR 15.90 LpaINR 27 Lacs (International, Tokyo, Japan)INR 15.62 LpaINR 12.5 Lpa
Company NameSeclore, General MillsDolat CapitalJ.P. Morgan Chase & Co. (Code For Good)RazorpayBrowser StackHuman ResociaBrowser StackDirect-i
Lowest Package3.00 LPA3.3 LPAINR 3.36 LpaINR 3.1 LpaINR 1.44 LpaINR 3 LpaINR 3 LpaINR 3 Lpa
Company NameBluestoneTCS NinjaTCS NinjaAtosRPA Infotech99yrs LLPNSCITNSCIT
Interview Experience
Some of our Major Recruiters

Internship Data - Department of Computer Engineering

During the academic year 2024–2025, students from the Computer Engineering Department at Fr. Conceicao Rodrigues College of Engineering undertook internships as an integral part of their academic curriculum and career development. These internships, typically lasting between 2 to 6 months, allowed students to work on real-world projects in domains such as software development, machine learning, full-stack web development, data analytics, DevOps, and cybersecurity. Final year students continued with internship from January 2025 for 6 months. Many students interned at reputed companies like TCS, Accenture , IITB and several emerging startups through college-industry partnerships and off campus. The internships provided valuable hands-on experience with industry-standard tools .Students not only enhanced their technical proficiency but also developed workplace skills such as project planning, teamwork, and professional communication. The experience also helped several students receive pre-placement offers and gain clarity about their career paths. Overall, the internship experience proved to be a vital stepping stone in transitioning from campus to corporate life.
NameCompanyDurationStipend (per month)
Seema Dashrath YadavMorgan Stanley6 months87000
Samarth VaishnavUBS6 months40000
Gokul Krishnaa MenonBNP Paribas6 months50000
Simona RumaoWizzer Advisor4 months25000
Madhav JhaWissen Technology6 months25000
Sanat PatilWissen Technology6 months25000
Jonathan Manuel DabreWissen Technology6 months25000
Pearl DsouzaColgate Global Business Services6 months25000
Marlon Mario ValladaresZycus6 months27500
Royce DmelloZycus6 months27500
Ashton SerraoIDFC First Bank6 months25000
Slayde SequeiraHyperverge5.5 months35000

Pre-incubation Center

Vision

Moulding Engineers who can Build the Nation

Mission

Facilitate Platform for Innovative Minds to Transform their Ideas into Viable Business Propositions to Start a Business Venture.

Short Term Objectives

  • To Facilitate Generation of Innovative Solution for Real Life Problems.
  • To Encourage and Stimulate Campus Startups in the Institution.

Long Term Objective

To Link Innovation to Enterprises Leading to Financial Success.

Description

Fr. CRCE computer department incubation center was established to provide a nurturing environment where students, faculty, and even alumni can transform their innovative ideas into viable businesses or technological solutions. It offers valuable resources, mentorship, and access to industry connections allowing students to develop real-world skills and turn their innovative concepts into market-ready products or services.

Projects

ArborTrack - Transparent Tree Growth Monitoring and Adoption System

Overview

A decentralized system built on blockchain technology with the goal of promoting transparent and efficient tree plantation efforts.

Key Features

  1. It involves NGOs, government bodies, citizens, and volunteers in a collaborative tree planting and maintenance process.
  2. 2Key features include transparent fund transfers through smart contracts, tree adoption, data tracking for tree health, a reward system, and the option to donate for tree plantation.
  3. 3The system has tree growth tracking module which is used to keep the track of growth of the tree and notify the owner or NGOs about status of the tree.
  4. 4The system aims to improve tree growth through data analysis, fostering a sense of community and responsibility for the environment.
  5. 5Its long-term vision is to create a global network dedicated to reforestation and environmental conservation.

Legally Yours

Overview

Our vision is to revolutionize law enforcement by providing cutting-edge Automatic Number Plate Recognition (ANPR) and Face Recognition software. We envision a safer, more orderly society where police forces can effectively maintain law and decorum. By harnessing the power of AI and machine learning, we aim to empower law enforcement agencies with advanced tools that enhance their capabilities. Our vision is to create a world where crimes are swiftly identified and prevented, traffic violations are efficiently managed, and missing persons are found with ease. We are committed to fostering a secure environment where police forces can perform their duties with maximum efficiency and minimal hassle.
legallyyours

Video Testimonials

Ivan Dsilva, Batch 2024

BE All Rounder 2024, Placed in Godrej & Boyce Co. Ltd.

Riddhi Oza, Batch 2024

BE All Rounder 2024,Pursuing MS in Data Science at Columbia Univ.

 
Ryan Valiaparambil, Batch 2024

Project- Green Sense, Pre Incubation – Mumbai Univeristy Ideas Clinic

Placed in Seclore

Justin Abreo, Batch 2024

Placed in UBS

 
Rudalph Gonsalves, Batch 2025

Smart India Hackathon Winner 2024

Joel Pawar, Batch 2025

Smart India Hackathon Winner 2024

Seema Yadav, Batch 2025

Project Competition -DIPEX 2024 (National Level Competition)

Joyvin Mendonca, Batch 2026

Finalist, IIT Madras Hackathon

Students Achievements