Btech in Mumbai | MBA Tech. | Top engineering colleges | Mukesh Patel School of Technology Management and Engineering | MPSTME | NMIMS
Home >

Dr. Radhika Chapaneri

Assistant Professor
Program Coordinator of
Department of Artificial Intelligence

basant-mohanty

Education Qualification:  

  • PhD in Technology (Computer Engineering)
  • E in Computer Engineering
  • BE in Electronics and Telecommunication Engineering

Specialization: Machine Learning, Deep Learning, Natural Language Processing, Data Science, Artificial Intelligence, Network Security

Academic Experience: (Number of Experience: = 17 years)

  • Assistant Professor at MPSTME NMIMS from July 2015 to till date
  • Assistant Professor at Thadomal Shahani Engineering College from Jan 2014 to April 2015
  • Lecturer at Thakur College of Engineering from July 2003 May 2008
  • Lecturer  at Polytechnic College from September 2002 to June 2003
  • Visiting Lecturer at Aryabhatta Institute of Computer Science from September 2002 to June 2003
  • Lecturer at Adarsh Computer Institute from September 2001 to August 2002

Membership:

  • Member of IEEE
  • Member of IEEE Computer Society
  • Life Member IETE

  Certifications:

  •  Introduction to Machine Learning, NPTEL certification, IIT Madras
  • .NET Development, University of Washington, USA
  • Software Testing, Bellevue Community College, Washington, USA
  • Unix/Linux Administration, Bellevue Community College, Washington, USA
  • Mobile Computing, Indian Institute of Technology IIT Bombay
  • Network Security, Indian Institute of Technology IIT Bombay

Service Activities (Within Organization)

  • Program Coordinator of Artificial Intelligence department coordinating department activities
  • Board of Studies Member: Course structure and curriculum design of BTech / MBA Tech AI
  • Capstone Project Coordinator: Coordination of students projects
  • Workshop Coordinator: Organizing committee member of students/ faculty development programs
  • Course Anchor: Cross campus coordination for streamlining the course across multiple campus
  • Mentor for Capstone Project/ IPT / TIP: Guiding students for their research or internship project
  • Selection committee member for PhD and MCA candidates
  • Approved PhD guide

 Service Activities (Outside Organization)

  • Board of Studies member for various institutes
  • Editor of the book "Transformative Role of Natural Language processing and deep learning in industrial and societal applications”
  • Judge for the hackathons / inter collegiate project competitions
  • Panellist member for Panel discussion on "Generative AI” in January 2024
  • Resource person for conducting training/ workshops in AI/ML domain
  • Program Committee member for IEEE Tale Conference
  • Session Chair for various conferences including IEEE Tale, IEEE Region 10
  • Reviewer for CSCITA IEEE International Conference  IEEE Bombay Section Signature Conference IBSSC, IEEE Tale Conference

Journal Publications:

  • 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)  

 

Conference Publication:

  • 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:

  • 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.

Academic Profiles:

           
© Copyright 2024. Shri Vile Parle Kelavani Mandal (SVKM) All Rights Reserved.   Disclaimer  |  Privacy Policy
TOP