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
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
Fr. Conceicao Rodrigues College of Engineering
| An Autonomous Institute Affiliated to University of Mumbai | NAAC "A" Grade Accredited |
Computer Science & Engineering
Where hardware and software unite to engineer the future of smart technology.
About
Computer Science Engineering
Career
Vision and Mission
To mould high-quality, innovative, and ethical engineers to become part of the global workforce and contribute to the betterment of society.
Provide students with a skill-based education that will help them master problem-solving and analytical skills, as well as expand their domain expertise
Promote continuous learning and research in the core and emerging areas of AI and Data science.
Facilitate an excellent scholastic environment for students and faculty by developing center of excellence in advanced technology
PEOs and PSOs
The graduates of BE in Computer Science & Engineering will be able to:
Innovate, create, analyze, design, implement and test AI-based solutions to solve real-world business problems.
The graduates of BE in Computer Science & Engineering program will have strong foundation and ability to use cutting-edge AI tools and techniques to innovate and develop new solutions
Faculty Members
Professor and Head of Department
Dr. Jagruti Save
Ph.D. (Computer Engineering)
Areas of interests:
Data mining, Image Processing, Soft Computing, Machine Learning
Associate Professor
Dr. DIPALI KOSHTI
Ph.D.(Computer Science and Engineering)
Areas of interests:
Deep Learning, Machine Learning, Mobile Computing, Soft Computing, Database Management Systems
Assistant Professor
Ms. Garima Tripathi
M.E.
Areas of interests:
IoT, Microprocessor, Computer Organization and Architecture, Computer Graphics, Image Processing
Dr. Sarika Davare
Ph.D.(Computer Engineering)
Areas of interests:
Database systems, Data warehousing and Data Mining, Software Engineering, Project Management
Ms. Savita Borole
Areas of interests:
Data Science, Natural Language Processing, Data Mining
Assistant Professor
Ms. Shraddha Shinde
M.Tech in Electronics and Telecommunication Engineering
Areas of interests:
RF & Electromagnetics, Antennas, IoT Systems
Assistant Professor
Mr. Saurabh Kulkarni
Ph.D.(Computer Science & Engineering)(Pursuing)
Areas of interests:
Big Data Analytics, Database Systems, Data Warehousing and Mining, Machine Learning, Web Programming, Software Testing
Assistant Professor
Ms. Nawal Dandekar
Areas of interests:
Database Management Systems, Software Engineering, Project Management, Cyber Security, Web Application Development
Assistant Professor
Mr. Saurabh Tejpal
Ph.D. Pursuing
Areas of interests:
Microcontroller, Natural Language Processing
Dr. Prachi Dalvi
Ph.D.(Computer Engineering)
Areas of interests:
AI and ML, Data Science
Ms. Vaishali Gaidhane
Ph.D.(Computer Engineering)(Pursuing)
Areas of interests:
Operating System, Database Systems, Machine Learning.
Ms. DIPSHRI KALE
Ph.D. Pursuing
Areas of interests:
Optical Communication Network, Cloud Computing
Ms. AFREENZEHRA SAYED
M.E.
Areas of interests:
Python, Computer Networks, Web Programming
Ms. Sanjose Mary
M.E.
Areas of interests:
Python Programming, Web Development, Software Engineering, Software Testing
Ms. URMILA BACHATE
M.TECH.
Areas of interests:
Object Oriented Programming, Web Development, Software Testing, C Programming, Embedded Systems
Infrastructure
Computing Lab
Computing lab (802) has 24 desktop systems (Acer). It has Ubuntu 18.04 LTS operating system. This laboratory is established in the year 2017. The Systems in the laboratory consists of software such as Netbeans, Octave, Postgresql, NS-2, Spice, Umbrello, Visual Studio (Express Edition) and Python.
Hardware Available: ACER desktop core i3 processor, 8GB RAM, DDR4, 1 TB HDD, integrated Graphics
Open Source Lab
Open source lab (lab no. 803) has 22 desktop systems (ACER). It has Ubuntu 18.04 LTS operating system. This laboratory is established in the year 2017. The Systems in the laboratory consists of software such as Netbeans, Octave, Postgresql, NS-2, Spice, Umbrello, Visual Studio (Express Edition) and Python.
Hardware Available: ACER desktop core i3 processor, 8GB RAM, DDR4, 1 TB HDD, integrated Graphics
Network Lab
Network Lab (804) has 24 desktop systems (DELL). It has Ubuntu 18.04 LTS operating system. This laboratory is established in the year 2018. The Systems in the laboratory consists of software such as Netbeans, Octave, Postgresql, NS-2, Spice, Umbrello, Visual Studio (Express Edition), Python, Rstudio, WEKA
Hardware Available: DELL OPTIPLEX 3050 desktop, i3 processor, 8GB/SSR IV RAM, 1 TB HDD
Design Lab
The Design Lab (808) consists of 12 desktop systems (HP). This laboratory is established in the year 2016. This laboratory is equipped with instruments such as CRO, Function generator, Multimeter and kits to perform PPM Modulation/ De-Modulation, Noise Generation applications, Data Formatting, and Carrier Modulation and Sampling & Reconstruction Techniques. Lab equipped with 1. Different types of sensors like Temperature Sensor, Humidity sensor, Ultrasonic sensor, Gas sensor, PIR sensor, Sound sensor etc. . Different IOT boards like Ardino boards, Node MCU boards, Rasberry PI boards is available to give exposure to students when they develop any IOT based product
Hardware Available: HP202 G1 MT Business PC, Core i3, 4GB RAM , 500GB HDD, SENSORS and IOT boards
Programming Lab
The Programming Lab (809) has 20 desktop systems (LENOVO). Lab is also equipped with 4 DELL workstation to carry advanced research projects in AI&DS domain. It has Ubuntu 20.04 operating system. This laboratory is established in the year 2022. The Systems in the laboratory consists of software such as Netbeans, Octave, Postgresql, NS-2, Spice, TexStudio, Weka and Visual Studio (Express Edition), Python, Java. ,
Hardware Available: LENOVO Think centre (20), Core i3 processor, 8GB RAM, 1 TB HDD, DELL Workstation precision -3650 Tower, core i7 processor, 11th generation 2.5GHZX16, NVIDIA T1000/BCIE/SSE2 GPU, 1 TB SATA, 16GB RAM
Database Lab
The Database Lab (810) Lab has 24 desktop systems (HP). This laboratory is established in the year 2016. The Systems in the laboratory consists of software such as Netbeans, Octave, Postgresql, NS-2, Spice, TexStudio, Weka and Visual Studio (Express Edition), Python, Java. ,
Hardware Available: HP202 G1 MT Business PC, Core i3, 4GB RAM , 500GB HDD
Placement and Higher Studies Statistics
Our Top Recruiters
Our students are welcomed in various reputed national institutes and international universities in USA and UK. In the past, students have got admitted to reputed universities abroad like Cornell USA, Georgia Tech USA, Northeastern University USA, Manchester UK, University of Waterloo Canada, Indiana USA, IIT Kanpur India, ISB Hyderabad India etc.
| Academic Year | Event Name | Date | Description | |
|---|---|---|---|---|
| 2024-2025 | Python and Django Workshop | 21-09-2024 | A two-day “Python and Django Workshop” was conducted on 21st–22nd September 2024 via Google Meet, led by Rishabh Pathak. The workshop introduced participants to Python programming fundamentals and the Django framework, covering concepts like syntax, data structures, and web application development using the MTV architecture. Through hands-on coding and live demonstrations, students gained practical experience in building basic web applications, making the session highly engaging and informative. | Event Report |
| MASTERING AI&ML FOR BUSINESS SUCCESS | 3/9/2024 | A workshop on “Mastering AI & ML for Business Success” was conducted on 3rd September 2024 via Google Meet, led by Bilal Ahmed. The session introduced key AI/ML concepts, types of machine learning, and real-world applications across industries. Through hands-on demonstrations using Python and libraries like NumPy and Scikit-learn, participants gained practical insights into building basic models, making the workshop both informative and engaging. | ||
| Machine Learning Workshop | 4/4/2025 | A “Machine Learning Workshop” was conducted on 4th February 2025 at the Seminar Hall, led by Rishabh Pathak. The session covered fundamental ML concepts, key algorithms, and real-world applications, along with a hands-on project to provide practical experience. It also offered career guidance on becoming an AI developer, making it an engaging and insightful learning experience for participants. | ||
| “My Story" by ACM at Fr. Conceicao Rodrigues College of Engineering | 8/11/2024 | A “My Story” session was conducted on 8th November 2024, featuring Mr. Elvis Dodti, an alumnus of CRCE. The session focused on his entrepreneurial journey, highlighting the importance of resilience, adaptability, and innovation. Through real-life experiences, project demonstrations, and an interactive Q&A, students gained valuable insights into building successful ventures and developing an entrepreneurial mindset. | ||
| “Shark Tank CRCE" | 24-10-2025 | “Shark Tank CRCE” was a two-day entrepreneurial event held on 24th–25th October 2024, where students pitched innovative business ideas to a panel of judges and real investors. The event included multiple rounds of idea pitching, evaluation, and final presentations, focusing on value proposition, scalability, and business viability. It provided participants with practical exposure to startup pitching, networking, and real-world investment scenarios. | ||
| 2023-2024 | Converting Innovation into startup | 23-08-2023 | A seminar on “Achieving Value Proposition Fit and Market Fit: Converting Innovation into Startup” was conducted on 23rd August 2023, led by Prof. Swati Ringe. The session focused on innovation, design thinking, and aligning products with market needs using tools like the Value Proposition Canvas. Through case studies and interactive discussions, students gained practical insights into transforming ideas into successful startups, concluding with an engaging Q&A session. | Event Report |
| Digital Transformation in startups | 15-09-2023 | A webinar on “Digital Transformation in Startups and Business” was conducted on 15th September 2023 via Google Meet, led by Dr. Shilpa Khandelwal. The session focused on leveraging technologies like AI, IoT, and big data to drive business growth, enhance customer experience, and remain competitive. Through key concepts and real-world case studies, participants gained valuable insights into adapting to the evolving digital landscape, followed by an interactive Q&A session. | ||
| Gen AI and Entrepreneurship | 19-02-2024 | A seminar on “Generative AI and Entrepreneurship” was conducted on 19th January 2024, led by Bilal Ahmed. The session explored the intersection of AI and startups, covering concepts like RNNs, LSTMs, image generation, and self-attention, along with real-world applications of Generative AI in business. It provided participants with both technical insights and entrepreneurial perspectives, concluding with an interactive Q&A session. | ||
| Crescendo 24 | 22-02-2024 | “Shark Tank CRCE” was a two-day entrepreneurial event held on 22nd–23rd February 2024, where students pitched innovative business ideas to a panel of industry experts and faculty. The event focused on concepts like equity, investment, and company valuation, with teams progressing through multiple rounds to present their ideas to investors. It provided participants with hands-on experience in startup pitching and fostered innovation and entrepreneurial thinking. | ||
| InnovateX | 4/8/2023 | A seminar on “Lean Startup and Minimum Viable Product” was conducted on 4th August 2023, led by Prof. Saurabh Kulkarni. The session introduced students to lean startup principles, the concept of MVP, and the importance of iterative development and customer-driven approaches. Through case studies and interactive discussion, participants gained practical insights into building and improving startup ideas, concluding with an engaging Q&A session. |
Publications
| Sr. No | Publication Details 2025-2026 |
|---|---|
| 1 | Rele, C., Rathod, A., Natu, K., Kulkarni, S., Koli, A., & Makdey, S. (2025). Predicting Weekly Fishing Concentration Zones through Deep Learning Integration of Heterogeneous Environmental Spatial Datasets. arXiv preprint arXiv:2511.02887. |
| 2 | Ketaki SarodeNayonica SherlinLyneshia Correa,Prachi Dalvi,"Unveiling Social Media’s Underworld: Machine Learning Empowered Drug Detection February 2026, In book: Intelligent Control, Robotics, and Industrial Automation,DOI: 10.1007/978-981-95-2901-8_31 |
| 3 | Anwaya Belwalkar, Prachi Dalvi, Shaun D’Souza, Arpita Katkam,"Dynamic Pricing Optimization for Airbnb Listings Using Machine Learning", The Inidian Journal of Technical Education, Sepcial Issue, Vol 49, No.2 January 2026. |
| 4 | Kamoji, S., Patankar, S., Rozario, S., Almeida, S., Koshti, D., Lokhande, U. (2026). CareerCraft: AI-Powered Resume Enhancer. In: Tripathi, A.K., Saha, A.K., Shrivastava, V. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WCAIAA 2025. Lecture Notes in Networks and Systems, vol 1766. Springer, Cham. https://doi.org/10.1007/978-3-032-13806-4_2 |
| Sr.No | Publications Details 2023-2024 |
|---|---|
| 1 | D. Nunes, W. Bar, S. Fernandes, M. Satra, J. Save and P. Dalvi, "AI-Driven Traffic Lights," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10306685. |
| 2 | A. I. Nazareth, G. P. Pereira, T. N. Nagarkatte and J. Save, "Effect of Hyperparameter Tuning on Transfer Learning Models for Brain Tumor Detection and Classification," 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA), Mumbai, India, 2023, pp. 1-6, doi: 10.1109/ICACTA58201.2023.10393629. |
| 3 | Mohit Sunil Pansare; Gladys Gince Skariah; Rhea Nilesh Bhalekar; Garima Tripathi. "Development of a Tool for Quick Result Analysis." IJISRT, July 2023, ISSN - 2456-2165, PP: 2132-2136, doi: 10.5281/zenodo.8220598. |
| 4 | S. Davare, V. Shirsath and F. Sayyad, "An Improved Model for Lung Cancer Prediction Based on Lifestyle Parameters Using Machine Learning Techniques," ICICIS, Pune, India, 2023, doi: 10.1109/ICICIS56802.2023.10430256. |
| 5 | K. Sarode, A. Thakur, L. Correa and S. Davare, "Food Recognition System with Calorie Estimation," ICICIS, Pune, India, 2023, doi: 10.1109/ICICIS56802.2023.10430265. |
| 6 | Joshua D’sylva, Riona Gonsalves, Prachi Dalvi, Swaranjali Bodhi, "AI & ML Applications in Remote Sensing for Crop Classification", SAGECON2K24, 2024. |
| 7 | Dalvi Prachi., & Kalbande, D. R. (2023), "A Comprehensive Review of Plant Recognition Approaches", SSGM Journal of Science and Engineering, 1(1), 1–5. |
| Sr.No | Publications Details 2022-2023 |
|---|---|
| 1 | Ron George, Prof. Swati Ringe, Clayton Almeida, Akshay Naphade, "Resolving the Data Imbalance problem...", POSITIF Journal, 2022. |
| 2 | Makdey, Swapnali & Patrikar, Rajendra. (2023) "Design of behavior prediction model..." Semiconductor Science and Technology. |
| 3 | M. Nikam, A. Ranade, R. Patel, P. Dalvi and A. Karande, "Explainable Approach for Species Identification using LIME," IBSSC 2022. |
| 4 | Orvell Ferreira ,Clint Ferreira ,Sloan Dcunha ,Parshvi Shah , (2022 ) "College Recommendation System..." IJSCAI. |
| Sr.No | Publication Details 2021-2022 |
|---|---|
| 1 | Mareena Fernandes, Saloni Khanna, “Bitcoin Price Prediction,” ICAC3 2021. |
| 2 | Rodrigues Sanil., Pereira Rincy., “Contactless Attendance System”, Springer, 2022. |
| 3 | Issac Sanctis, Nilesh Prasad, “Recommendation system for supermarkets”, GIS Science Journal, 2021. |
| 4 | Saurabh Kulkarni, Sunil F. Rodd, “Evaluation of the Impact...” Springer 2022. |
| Sr.No | Publication Details 2020-2021 |
|---|---|
| 1 | Garima Tripath, Priyank Shah, “Driver Activity monitoring using Mobilenets”, ICICN 2020. |
| 2 | Amandeep Saini, Prajakta Dhamanskar, “American Sign Language Translator...” IJAST 2020. |
| 3 | MayankTanna, Rohin Vaidya, “FORESIGHTBOT: A chatbot for personal safety”, PENSEE 2021. |
| 4 | Saurabh Kulkarni, Sunil F. Rodd, “Context Aware Recommendation Systems...” Elsevier 2020. |
| Sr.No | Publications Details 2019-2020 |
|---|---|
| 1 | Nilesh Patil, Tanmay Rane, “ML Suite: An auto machine learning tool”, ICTIS 2020. |
| 2 | Nilesh Patil, Bevan Sequeira, “Cricket Team Prediction Using Machine Learning”, IJAST 2020. |
| 3 | Nilesh Patil, Sanil Rodrigues, “Heat Stroke Alert Device”, IJAST 2020. |
| 4 | Nilesh Patil, Sunny Dias, “Hybrid Phishing Site Detection”, IJAST 2020. |
| 5 | Anish Dias, Chinmay Khanolkar, “IoT Based Smart Greenhouse Monitoring System”, Purakala 2020. |
| 6 | Kranti Wagle, “Emotion Recognition through Mobile Application”, Purakala 2020. |
| 7 | Amandeep Saini, “American Sign Language Translator”, IJAST 2020. |
| 8 | Prajakta Dhamanskar, “Human Computer Interaction using Hand Gestures”, IEEE 2019. |
| 9 | Ryan D’silva, “Automatic Text Summarization”, IJAST 2020. |
| 10 | Steffi F. Andrade, Nishita M. Bhatankar, Nadia M. Dsilva, Prof. Prachi Patil, “ |