Dr. Radhika Chapaneri

About (Awards, Patents, Committees)

• Program Coordinator of Artificial Intelligence department coordinating department activities
• Board of Studies member for the Artificial Intelligence program at multiple universities
• Capstone Project Coordinator, Workshop Coordinator, Course Anchor in department of AI
• Approved PhD guide
• Member of IEEE Computer Society , IETE

Achievements:

• Awarded research incentive by NMIMS University for high quality research publications (2021 & 2022)
• Excellent feedback above 6.2 / 7 from students for last 10 years
• BOS Member for the Artificial Intelligence program at MPSTME, NMIMS University
• Panellist member for Panel discussion on “Generative AI”
• Invited Speaker for conducting training/ workshops in AI/ML domain at multiple institutes
• Program Committee member IEEE Tale Conference , 2021
• Reviewer for CSCITA IEEE International Conference 2017, IEEE Bombay Section Signature Conference IBSSC-2019, IEEE Tale 2019
• Panellist member for Panel discussion on “Generative AI” (Jan 2024)
• Session Chair for various conferences including IEEE Region 10 HTC conference (2023), IEEE Tale Conference
• Reviewer (Springer Journal of Supercomputing, Springer Journal of Cloud Computing, IEEE IBSSC, IEEE Tale)
• Mentor and Judge for various hackathons and Intercollegiate project competitions
• Faculty Trainer IBM ICE program for Python programming and Databases
• Selection committee member for PhD and MCA candidates
• Collaborated with faculty at Virginia Tech USA for academics and research project

Journals:

• R. Chapaneri and S. Shah, “Enhanced Detection of Malicious Network Traffic with Regularized Generative Adversarial Network”, Journal of Network and Computer Applications, Elsevier, vol. 202, pp. 103368, 2022. (Scopus Indexed, Science Citation Index Expanded, Impact factor: 8.7)
• R. Chapaneri and S. Shah, “Multi-level Gaussian Mixture Modeling for Detection of Malicious Network Traffic”, The Journal of Supercomputing, Springer, vol. 77, pp. 4618-4638, 2020. (Scopus Indexed, Science Citation Index Expanded, Impact factor: 2.454)

Books Published:

• The transformative role of natural language processing and deep learning in societal and industrial applications, Guarang Publishing Globalize Pvt Ltd, ISBN No.: 978-93-93789-55-6, April 2024

Conferences:

• D. Pathak, V. Rathod, R. Chapaneri, “A Comprehensive Survey on AIoT Integrated Smart Health Cities”, AIP Proceedings of International Conference on Applied Computational Intelligence and Analytics, NIT Raipur, vol. 2705, issue 1, Feb 2023.
• A. Goyal, S. Ghose, S. Das, R. Chapaneri and M. Desai, “E-Agri Kit: Agricultural Aid using Deep Learning”, 6th International Conference for Convergence in Technology (I2CT), Maharashtra, India, pp. 1-8, 2021.
• R. Chapaneri, M. Desai, A. Goyal, S. Ghose and S. Das, “Plant Disease Detection: A Comprehensive Survey”, 3rd International Conference on Communication System, Computing and IT Applications (CSCITA), Mumbai, India, pp. 220-225, 2020.
• M. Mehta, A. Sajnani and R. Chapaneri, “Cover song Identification with Pairwise Cross-Similarity Matrix using Deep Learning”, IEEE Bombay Section Signature Conference (IBSSC), IEEE, pp 1-5, 2019.
• N. Bhartiya, N. Jangid, S. Jannu, P. Shukla and R. Chapaneri, “Artificial Neural Network based University Chatbot System”, IEEE Bombay Section Signature Conference (IBSSC), IEEE, pp 1-6, 2019.
• R. Chapaneri and S. Shah, “Detection of Malicious Network Traffic using Convolutional Neural Networks”, 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kanpur, pp 1-6, 2019.
• N. Bhartiya, S. Jannu, P. Shukla and R. Chapaneri, “Employee Attrition Prediction Using Classification Models,” 5th International Conference for Convergence in Technology (I2CT), IEEE Bombay, India, pp. 1-6, 2019.
• S. Chapaneri and R. Chapaneri, “Chaos Based Image Encryption using Latin Rectangle Scrambling”, Annual IEEE India Conference (INDICON), Pune, India, pp. 1- 6, 2014.
• S. Chapaneri, R. Chapaneri, T. Sarode, “Evaluation of Chaotic Map Lattice systems for Image Encryption”, International Conference on Circuits, Systems, Communication and Information Tech. Applications, Mumbai, India, pp. 59-64, 2014.
• R. Chapaneri, T. Sarode and S. Chapaneri, “Digital Image Encryption Using Improved Chaotic Map Lattice”, Annual IEEE India Conference (INDICON), IIT-Bombay, pp. 1-6, 2013.
• R. Chapaneri, D. Chandra, “Routing in Wireless Sensor Networks: Protocols and Challenges”, SPIT-IEEE Colloquium and International Conference, Mumbai, India, vol.3, pp. 53-58, 2008.
• S. Chapaneri and R. Chapaneri, “Robust Zero-Watermarking of Images using Neural Network”, Proc. National Conf. Applications of Digital Signal Processing (NCDSP 2007), 2007.
• S. Chapaneri and R. Chapaneri, “Neural Network Zero-Watermarking of Digital Images”, Proc. National Conf. on Trends and Challenges in Electronics, Communication, Information and Computer Technology, 2007.

Book Chapters:

• “Developing Kornia, an Open-source Differentiable Computer Vision Library” in the book The transformative role of natural language processing and deep learning in societal and industrial applications, Guarang Publishing Globalize Pvt Ltd, ISBN No.: 978-93-93789-55-6.April 2024
• “Performance Analysis of Different Architectures for Plant Pest Detection System” in the book The transformative role of natural language processing and deep learning in societal and industrial applications, Guarang Publishing Globalize Pvt Ltd, ISBN No.: 978-93-93789-55-6, April 2024
• C. Raghuraman, S. Suresh, S. Shivshankar, R. Chapaneri, “Static and Dynamic Malware Analysis using Machine Learning”, Advances in Intelligent Systems and Computing, Springer, vol. 1045, 2020.
• R. Chapaneri, S. Shah, “A Comprehensive Survey of Machine Learning-Based Network Intrusion Detection”, Smart Innovation, Systems and Technologies, Springer, Singapore, vol. 104, 2019.
• V. Bhatia, S. Joshi, R. Chapaneri, “Web socket-Evented Real-Time Online Coding Collaborator”, Smart Innovation, Systems and Technologies, Springer, Singapore, vol. 104, 2019.