Mr. Ankit Srivastava

Mr. Ankit Srivastava has four years of teaching experience in various engineering colleges. He has published five research papers in reputed UGC-CARE listed and SCI/Scopus-indexed journals and has presented four research works at both international and national conferences. He has also published three national patents. Additionally, he has co-authored a book titled Introduction to AI & Machine Learning with Dr. Munesh Chandra, published by Khanna Book Publishing, India, and has also contributed a book chapter in the field of Artificial Intelligence and related areas. Currently, he is pursuing a Ph.D. in Computer Science and Engineering at NIT Agartala, Tripura, India. His research interests include medical imaging and image processing.

Phd (Pursuing from NIT Agartala)

A. Lecturer in CSE & IT department Dr. Ambedkar Institute of Technology for Handicapped (AITH), Kanpur, India  

• Duration- 7/2011 – 6/2014  
• My duties are to teach computer science subjects in the diploma and UG.  
• Plan and promote sporting events and social, cultural, and recreational activities.  
• Subject Taught: Software Engineering, Cryptography and network security, computer graphics, C++  

B. Guest faculty in CSE Department (Diploma wing) Dr. Ambedkar Institute of Technology for Handicapped (AITH), Kanpur, India  

• Duration – 8/2019 – 2/2021  
• My duties are to teach computer science subjects in the diploma program  
• Project supervisor of Diploma students.  
• Subject Taught: OOPS, C++, C. 

• Ankit Srivastava, S. Bhowmick, M. Chandra, and A. Saha, “Post Hoc Interpretability in Swin UNETR-Based Volumetric Segmentation Using Supervoxel Attributions,” International Journal of Imaging Systems and Technology 36, no. 2 (2026): e70323, https://doi.org/10.1002/ima.70323.
• Sandipan Bhowmick, Ashim Saha, Suman Deb, Anurag De, and Ankit Srivastava, “Medical Image Classification Using Lightweight Deep Spiking Neural Network,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 49, pp. 589–600, 2025, doi: 10.1007/s40998- 025-00808-3.
• Neeraj Kumar Vidhyarthi, Ankit Srivastava, Sandipan Deb, Sagnik Pal, and Ajoy Kumar Das, “Experimental investigation and physics-informed neural network-based modelling of heat transfer coefficient and pressure drop in R513A flow boiling through micro-fin tube,” International Journal of Refrigeration, vol. 172, pp. 94–107, 2025, ISSN: 0140-7007, doi: 10.1016/j.ijrefrig.2025.01.025.
• Ankit Srivastava, Munesh Chandra, and Ashim Saha, “Use of multiparametric magnetic resonance imaging in prostate cancer: A review,” Measurement: Sensors, vol. 33, 101128, 2024, ISSN: 2665- 9174, doi: 10.1016/j.measen.2024.101128.
• Ankit Srivastava, et al,” Application of Data Mining Methods in The Diagnosis of UCI Based Pima Indians Diabetes Database”. “Pramana research journal”, volume 9, issue 6, June 2019.

• Srivastava, Ankit, Sandipan Bhowmick, Munesh Chandra, and Ashim Saha. “GEN AI in the Healthcare Industry: An Analysis of Privacy and Security Challenges, Emerging Models, Applications, and Limitations.” In International Conference on Emerging Trends and Technologies on Intelligent Systems, pp. 30-42. Singapore: Springer Nature Singapore, 2025.
• Ankit Srivastava, et al, “A Study of Computing Methods Predicting Diabetes in Uci Based Pima Indians’ Diabetes”, “7th International Conference on Research Developments in Applied Science, Engineering & Management”, on 15th – 16th June 2019 at Mahratta Chamber of Commerce, Industries, and Agriculture Tilak Road, Pune (India)EMSSH-2019
• Ankit Srivastava, et al, “A Study of Software Quality Using Software Metrics for Object-Oriented System,” National Conference on “Global Innovation in Technology and Management” organized by Dev Bhumi Group of Institutions, Saharanpur, India on 28 April 2013.

• Munesh Chandra and Ankit Srivastava, Introduction to AI & Machine Learning, Khanna Book Publishing, India, 2024, ISBN-10: 9355386885, ISBN-13: 978-9355386885.

Ankit Srivastava, Munesh Chandra, Ashim Saha, Sonam Saluja, and Deepshikha Bhati, “Current Advances in Locality-Based and Feature-Based Transformers: A Review,” in Advances in Data and Information Sciences (ICDIS 2023), S. Tiwari, M. C. Trivedi, M. L. Kolhe, and B. K. Singh, Eds. Lecture Notes in Networks and Systems, vol. 796, Springer, Singapore, 2024, doi: 10.1007/978-981- 99-6906-7_28.