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 achieve excellence in Computer Science education by nurturing technically competent and socially responsible professionals who solve real-world problems.
Facilitate an excellent scholastic environment for students and faculty to promote research, innovation and interdisciplinary learning.
Foster a culture of experiential learning and sustainable practices through projects, internships and industry engagement.
Promote participation in co-curricular and extra-curricular activities to build integrity, communication, teamwork and leadership.
PEOs and PSOs
The graduates of B.Tech. in Computer Science & Engineering will be able to:
- Design, develop and implement innovative computing solutions that promote sustainable development and socio-economic growth.
- Pursue lifelong learning and advanced education by adapting to evolving technologies and diverse career opportunities.
- Exhibit ethical conduct, leadership, and effective interpersonal skills in their professional domain.
Graduates of B.Tech. in Computer Science & Engineering will be able to:
- Apply computational thinking, algorithmic design and software development principles to build efficient computing solutions.
- Develop scalable and intelligent computing solutions using emerging technologies such as Artificial Intelligence, Data Science and Distributed Systems to solve complex problems.
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. Rohaan Qadeer Khan
M.Tech. CSE
Areas of interests:
Dr. Prachi Natu
Ph.D.(Computer Engineering)
Areas of interests:
Deep Learning, Machine Learning, Generative AI, Image Processing
Ms. Vaishali Gaidhane
Ph.D.(Computer Engineering)(Pursuing)
Areas of interests:
Operating System, Database Systems, Machine Learning.
MR. FAHEEM ANSARI
Ph.D.(Electronics) Pursuing
Areas of interests:
Data Analytics (Python,SQL and Power BI), VLSI, IOT and Security, RiSC-V CPU architecrures
Assistant Professor
Ms. Samrin Pabrekar
M.E. (EXTC)
Areas of interests:
Computer Graphics, Computer Network, Software Engineering, Agile Software Development, Image and Video Processing, Embedded System,Nanowire Technology, Internet of Things.
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. MAYURI MATHPATI
M.S. (Embedded Systems Engineering)
Areas of interests:
Embedded systems,Microsystems,
AI/ML
Infrastructure
The Department of Computer Science and Engineering has eight dedicated laboratories designed to provide students with extensive hands-on experience in programming, software development, data analytics, artificial intelligence, networking, IoT, embedded systems, simulation, and research.
The laboratories are equipped with 160+ desktop and workstation systems, specialized hardware platforms, IoT development boards, sensors, GPU-enabled workstations, and a wide range of industry-relevant and open-source software tools. The infrastructure supports practical coursework, student projects, research activities, and experiential learning across the Computer Engineering curriculum.
Computer Lab 1
Room 802 | Established 2017 | 24 Systems
A dedicated computing environment for programming, software development, databases, networking, data analytics, and simulation. The laboratory provides students with both Windows and Linux platforms for practical learning and project development.
Hardware
- 24 HP 280 G9 Desktop Systems
- Intel Core i5-14500
- 16 GB RAM | 512 GB SSD
- Wi-Fi + Bluetooth
- Monitor, Keyboard & Mouse
Software
Ubuntu 26.04 · Windows 11 Pro · JDK · NetBeans · Eclipse · Python · Arduino IDE · PostgreSQL · RStudio · GNU Octave · GNS3 · Wireshark · NS-2 · Umbrello · Visual Studio
Computing Lab 2
Room 803-A | Established 2017 | 24 Systems
A versatile programming and networking laboratory supporting database applications, software development, network simulation, Python programming, and data analytics. The laboratory combines Dell and Acer computing systems with Windows and Linux environments.
Hardware
- 20 Dell OptiPlex 7020 MT
- 4 Acer Desktop Systems
- Intel Core i5-14500
- 16 GB RAM | 1 TB SSD
- Wi-Fi + Bluetooth
Software
Ubuntu 24.04 · Windows 11 Pro · JDK · NetBeans · Eclipse · Visual Studio Code · Python · PostgreSQL · RStudio · Arduino IDE · GNS3 · NS-2 · Wireshark · WEKA · Umbrello
Computer Lab 3
Room 803-B | Established 2018 | 24 Systems
A practical learning environment supporting software engineering, programming, databases, data analytics, networking, and simulation. The laboratory provides a broad range of development, analytical, and project management tools.
Hardware
- 24 Dell OptiPlex 3050
- Intel Core i3-7100
- 8 GB RAM | 1 TB HDD
Software
Ubuntu 22.04 LTS · JDK · NetBeans · Eclipse · Python · PostgreSQL · RStudio · Anaconda · Arduino IDE · GNU Octave · GNS3 · Wireshark · NS-2 · WEKA · Umbrello · ProjectLibre · Visual Studio
Computer Lab 4
Room 809 | Established 2016 | Renovated 2026
A specialized hardware–software integrated laboratory for digital electronics, sensors, and Internet of Things applications. The laboratory enables students to build, interface, test, and prototype real-world IoT and embedded solutions.
It 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. It is also equipped with 20 computers with latest configuration and smart board.
Computer Lab 5
Room 810 | Established 2022 | 20 Systems + 4 Workstations
A specialized computing environment supportingArtificial Intelligence, Machine Learning, Data Science, and computational research. GPU-enabled Dell Precision workstations provide enhanced computing resources for advanced student projects and research activities.
Hardware
- 20 Lenovo ThinkCentre Systems
- Intel Core i3 | 8 GB RAM | 1 TB HDD
- 4 Dell Precision 3650 Workstations
- Intel Core i7, 11th Generation
- 16 GB RAM
- NVIDIA T1000 GPU
- 1 TB SSD Storage
Software
Ubuntu 22.04 · Python · Java · Anaconda · RStudio · PostgreSQL · JDK · NetBeans · Eclipse · WEKA · GNU Octave · Arduino IDE · NS-2 · SPICE · Visual Studio
Computer Lab 6 – Computing & Research Laboratory
Room 811 | Established 2016 | 20 Systems + 3 Workstations
A computing and project-oriented laboratory supporting programming, data analysis, simulation, software development, and research. Dedicated Dell Precision workstations provide additional computational resources for demanding academic and project requirements.
Hardware
- 20 Lenovo ThinkCentre Neo 50 Tower Systems
- Intel Core i5, 12th Generation
- 16 GB RAM | 512 GB SSD
- 3 Dell Precision Workstations
- Intel Core i7
- Up to 32 GB RAM
- 1 TB SSD
- GPU
Software
JDK · NetBeans · Python · RStudio · PostgreSQL · GNU Octave · Arduino IDE · WEKA · NS-2 · SPICE · Visual Studio
Computer Lab 7
Room 812 | Established 2024 | 20 Systems
A dedicated computing laboratory for programming, database applications, software development, and computational experimentation. The Linux-based environment supports practical coursework and student project development.
Hardware
- 20 Dell OptiPlex 7010 MT
- Intel Core i5, 12th Generation
- 16 GB RAM | 1 TB SSD
- Integrated Graphics
- Smart board
Software
Ubuntu 24.04 · JDK · NetBeans · Python · GNU Octave · PostgreSQL · NS-2 · SPICE · WEKA · Visual Studio
Computer Lab 8
Room 712 | Established 2026 | 24 Systems
Established in response to the increased student intake in Computer Engineering, this laboratory strengthens the department’s computing capacity. It provides additional resources for programming, software development, databases, practical coursework, and student projects.
Hardware
- 24 Acer Desktop Systems
- Intel Core i3 Processor
- 8 GB RAM
- 1 TB HDD
- DDR4 Memory
- Integrated Graphics
- Smart Board
Software
Ubuntu 18.04 LTS · NetBeans · Python · GNU Octave · PostgreSQL · NS-2 · SPICE · Umbrello · Visual Studio
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, “ |