Email Id- [email protected]
B. Tech in Computer Engineering with Honours
M.Tech in Computer Engineering with Distinction
PhD in Computer Science & Engineering
GATE (Computer Science & Information Technology) Qualifier in 2012 & 2017
Publications:
Journal Papers:
Khemani, B., Patil, S., Malave, S., & Gupta, J. (2025). Improved graph convolutional network for emotion analysis in social media text. MethodsX, 14, 103325.
Ronald, B., Gupta, J., Zahir, F. S., Patil, S. B., Barse, G. K., & Choudhary, S. (2024). The future of cyber security policy in the post-quantum era. Computer Fraud and Security, 2024(8).
Gupta, J., Pathak, S., & Kumar, G. (2022). Bare skin image classification using convolution neural network. International Journal of Emerging Technology and Advanced Engineering, 12(01).
Gupta, J., Pathak, S., & Kumar, G. (2022). A hybrid optimization-tuned deep convolutional neural network for bare skinned image classification in websites. Multimedia Tools and Applications, 81(18), 26283-26305.
Gupta, J., Pathak, S., & Kumar, G. (2022). Aquila coyote-tuned deep convolutional neural network for the classification of bare skinned images in websites. International Journal of Machine Learning and Cybernetics, 13(10), 3239-3254.
Book Chapters:
Chaudhari, S., Khemani, B., Patil, S., & Gupta, J. (2024, February). Genome Sequence Analysis and Drug-Target Interaction Prediction Using Deep Learning. In International Conference on Innovative Computing and Communication (pp. 569-587). Singapore: Springer Nature Singapore.
Shinde, S., Gupta, J., Sajwan, S., Raje, A., & Yadav, S. (2024, May). A Comparative Analysis of Deep Learning Models for Wildlife Prediction. In Doctoral Symposium on Computational Intelligence (pp. 187-201). Singapore: Springer Nature Singapore.
Chordia, S., Gupta, J., & Jain, S. (2023, December). Cross-Domain Sentiment Analysis: An Extensive Study of Machine Learning and Deep Learning Models, Datasets, and Preprocessing Techniques for Predictive Performance. In Congress on Smart Computing Technologies (pp. 291-308). Singapore: Springer Nature Singapore.
Vora, J., Yadav, D., Jain, R., & Gupta, J. (2021). JARVIS: A PC Voice Assistant. International Journal of Advance Study and Research Work, 4(7), 386-393.
Conferences Papers:
Chothani, B. Khemani, S. Malave, M. Jain and J. Gupta, "Pneumonia Detection in Chest X-rays using CNN," 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2024, pp. 1-4, Doi: 10.1109/INOCON60754.2024.10512113.
Chordia, S., Gupta, J., & Jain, S. (2023, December). Cross-Domain Sentiment Analysis: An Extensive Study of Machine Learning and Deep Learning Models, Datasets, and Preprocessing Techniques for Predictive Performance. In Congress on Smart Computing Technologies (pp. 291-308). Singapore: Springer Nature Singapore.
Mali, H., Nara, A., Gupta, J., & Panchal, S. (2023, November). NLP-Powered Short Video Enrichment System. In 2023 2nd International Conference on Futuristic Technologies (INCOFT) (pp. 1-6). IEEE.
N. Joshi, T. Sheth, V. Shah, J. Gupta and S. Mujawar, "A Detailed Evaluation of SQL Injection Attacks, Detection and Prevention Techniques," 2022 5th International Conference on Advances in Science and Technology (ICAST), Mumbai, India, 2022, pp. 352-357, Doi: 10.1109/ICAST55766.2022.10039662.
Gupta, J., Pathak, S., & Kumar, G. (2022, May). Deep learning (CNN) and transfer learning: a review. In Journal of Physics: Conference Series (Vol. 2273, No. 1, p. 012029). IOP Publishing.
Mujawar, S., & Gupta, J. (2022, March). A statistical perspective for empirical analysis of bio-inspired algorithms for medical disease detection. In 2022 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 1-7). IEEE.
Dumbre, A., Jangada, S., Gosavi, S., & Gupta, J. (2022, June). Classification of Indian sign language characters utilizing convolutional neural networks and transfer learning models with different image processing techniques. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 423-430). IEEE.
Joshi, N., Sheth, T., Shah, V., Gupta, J., & Mujawar, S. (2022, December). A detailed evaluation of SQL injection attacks, detection and prevention techniques. In 2022 5th International Conference on Advances in Science and Technology (ICAST) (pp. 352-357). IEEE.
R. Parkar, Y. Payare, K. Mithari, J. Nambiar and J. Gupta, "AI And Web-Based Interactive College Enquiry Chatbot," 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Pitesti, Romania, 2021, pp. 1-5, Doi: 10.1109/ECAI52376.2021.9515065.
Copyright:
Copyright on “Algostand” with Indian Copyright Registration Number: SW-2025020839 dated 18/03/2025
Copyright on “A Transformer Based Multitask Learning Approach for Health Misinformation Detection” with Indian Copyright Registration Number: SW-20234/2025 dated 06/03/2025
Books Authored:
Published Book on title "Game Engineering" as per the new credit system syllabus of Savitribai Phule Pune University
Certifications
Fundamentals of Deep Learning (Instructor Materials) by NVIDIA DLI
Build-A-Thon 2022 in Artificial Intelligence by IBM
IBM Skills Build Virtual Faculty Buildathon Data Analytics with Cognos
Fundamentals of Deep Learning for Computer Vision by Nvidia DLI
Building Transformer-Based Natural Language Processing Applications by Nvidia DLI
Fundamentals of Deep Learning by Nvidia DLI
Python 101 for Data Science, a course on cognitiveclass.ai, Powered by IBM Developer Skills Network
Data Visualization with Python, a course on cognitiveclass.ai, Powered by IBM Developer Skills Network
Data Analysis with Python, a course on cognitiveclass.ai, Powered by IBM Developer Skills Network
Deep Learning Fundamentals, a course on cognitiveclass.ai, Powered by IBM Developer Skills Network
Neural Networks and Deep Learning, course authorized by deeplearning.ai and offered through Coursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, course authorized by deeplearning.ai and offered through Coursera
Convolutional Neural Networks, course authorized by deeplearning.ai and offered through Coursera
Structuring Machine Learning Projects, course authorized by deeplearning.ai and offered through Coursera
Programming for Everybody (Getting Started with Python), authorized by University of Michigan and offered through Coursera
Getting Started with Enterprise Data Science, issued by IBM
Journey to Cloud: Envisioning Your Solution, issued by IBM
Alteryx foundation micro credential
Getting Started with Enterprise-grade AI, issued by IBM
Improving Healthcare: The Role of Cloud Computing, issued by IBM
Applied Data Science with Python - Level 2, issued by IBM
STTPs & FDPs conducted
Coordinator for AICTE ATAL VAANI FDP on AI in Language: Developing smart systems with NLP at APSIT from 03/07/2025- 04/07/2025
Coordinator for AICTE ATAL - Edu Skills FDP on “AWS Cloud Solution Architect” from 16-21 Dec, 2024
STTPs & FDPs attended:
Completed ISTE approved self-financing Faculty Development Program on "Generative AI: Use cases in various businesses conducted by Thadomal Shahani Engineering college from 30-06-2025 to 05-07-2025
Completed ATAL FDP on “Artificial Intelligence & IoT Driven Data Analytics in Industry 5.0 “at School of engineering & technology D Y Patil university Ambi, Pune from 09/12/2024 to 14/12/2024.
Completed FDP on “Building Solutions Using No Code AI and Machine Learning” from 02-01-2023 to 07-01-2023 at Thakur college of Engineering and Technology
Completed FDP on Building Advanced Data Analytics Applications with Cloud under NextGen Employability program from 18/12/2023 22/12/2023.
Completed FDP on “Artificial Intelligence and Machine Learning” from 03-09 Feb 2021 at Model institute of Engineering and Technology, Jammu
Completed FDP on “Research in Engineering - A Way Forward from 6-10 July 2020 at APSIT
Completed STTP on Business Analytics from 17-22 June 2019 at APSIT
Completed STTP on “Machine Learning - Recent Trends in Computer” from 31-12-2018 to 05-01-2019 at APSIT
Achievements
Speaker for AICTE ATAL VAANI FDP on AI in Language: Developing smart systems with NLP at APSIT from 03/07/2025- 04/07/2025
Session Chair at the lst National Conference on Radical Innovation for Sustainable Engineering Solutions (NC RISES)-2024 on 6th December 2024
Editorial Board member in Journal of Emerging Computer Research and Applications
Session chair in 2nd International conference on Futuristic Technologies (INCOFT) during 24th to 26th Nov 2023
Program committee member and reviewer in 7th International conference on communication and computational technologies held at National forensic sciences university during Feb14-15 2025
Technical program committee member and reviewer in the 3rd IEEE world conference on Applied Intelligence and computing
Reviewer for International journal of computational Intelligence systems, Springer Nature
Technical program committee member and reviewer in the 6th international conference on communication and intelligent systems (ICCIS 2024) held in 08-09th Nov 2024
Reviewer of Journal of emerging computer research and applications for April 2024
Program Committee member and Reviewer in international conference on Business Intelligence and data analytics (BIDA 20243) held at RVIM, Bangalore, 06-07 April 2024
Reviewer for journal of cluster computing, Springer Nature
Program Committee member and Reviewer in IEEE world conference on Applied Intelligence and Computing held during July 29-30, 2023
Reviewer for the month of September 2023 by Elsevier
Reviewer and program committee member in the 4th international conference on computational intelligence (ICCI 2023) during Nov 4-5 ,2023
Program Committee member and Reviewer in the 3rd international conference on Intelligent vision and computing (ICIVC 2023) held in November 25-26, 2023
Technical program committee member and reviewer in the congress on Smart Computing Technologies (CSCT 2023) held during Dec 02-03, 2023.
Program committee member and reviewer in the fourth international conference on paradigms of communication, computing and data analytics organised by Sri dev suman Uttarakhand university, India
Program Committee member and Reviewer in the world congress on smart computing
Question Paper setter for T.E. (Honours/Minor Degree- AI&ML)) for third year V semester subject HAIMLC501 Mathematics for AI & ML
Question Paper setter for M Tech (CMPN) first year Sem II CE81- DATABASE SECURITY AND ACCESS CONTROL in Vidyalankar Institute of Technology, Mumbai.
"Judge for 18th Avishkar: Inter-Collegiate / Institute / Department Research Convention (Zonal Round) for Zone X: Engineering Colleges/Institutes organized by the Department of Students Development, University of Mumbai on Friday, December 15, 2023
Conducted a 24-hour live online course titled “Basics of Machine Learning” from 03rd to 08th July 2021 as part of the APSIT Skills Internship Programme. The course focused on fundamental concepts of supervised and unsupervised machine learning, along with practical implementation of related algorithms using the scikit-learn library. A total of 137 participants completed the course.
