Society of St. Francis Xavier, Pilar’s Fr. Conceicao Rodrigues College of Engineering
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
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
Associate Professor and Head of Department
Ph.D. (Computer Engineering)
Areas of interests:
Data mining, Image Processing, Soft Computing, Machine Learning
Associate Professor
Ph.D.(Computer Science and Engineering)
Areas of interests:
Deep Learning, Machine Learning, Mobile Computing, Soft Computing, Database Management Systems
Associate Professor
M.E.
Areas of interests:
IoT, Microprocessor, Computer Organization and Architecture, Computer Graphics, Image Processing
Ph.D.(Computer Engineering)
Areas of interests:
Database systems, Data warehousing and Data Mining, Software Engineering, Project Management
Areas of interests:
Data Science, Natural Language Processing, Data Mining
Assistant Professor
M.Tech in Electronics and Telecommunication Engineering
Areas of interests:
RF & Electromagnetics, Antennas, IoT Systems
Assistant Professor
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
Areas of interests:
Assistant Professor
Ph.D. Pursuing
Areas of interests:
Microcontroller, Natural Language Processing
Ph.D.(Computer Engineering)(Pursuing)
Areas of interests:
AI and ML, Data Science
Ph.D.(Computer Engineering)(Pursuing)
Areas of interests:
Operating System, Database Systems, Machine Learning.
Ph.D. (Ph.D. Pursuing)
Areas of interests:
Optical Communication Network, Cloud Computing
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 (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 (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
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
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
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
| 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, “ |