Dr. Rahul Shrivastava
Total Experience
Area of intErest
Brain Computation Modeling, Quantum Computing, Image Processing
8 Years
course handled
Machine Learning, Deep Learning, Quantum Computing, Database Management System, Operating Systems
Education Details

Publication details
- Deepti, A., Rahul Shrivastava, Sanjeev Kumar Angadi , Knowledge-Augmented Conversational AI for Low-Resource Indian Languages, Journal of Data Engineering and Knowledge Discovery, e-ISSN: 3048-9237, Volume 2, Issue 3, 2025.
- Shital Gujarathi-Mehta, Rahul Shrivastava, Sanjeevkumar Angadi, SpinalCNN: spinal convolutional neural network based kidney cancer detection, Biomedical Signal Processing and Control, Volume 112, Part A, 2026,108587 (SCOPUS)
- Seema Mahalungkar, Rahul Shrivastava, and Sanjeevkumar Angadi."QFMNet: Quantum fusion maxout network for brain activity detection using motor imagery of EEG signals." Intelligent Decision Technologies (2024): 18724981241292473. (SCOPUS) click here
- Seema Mahalungkar, Rahul Shrivastava, and Sanjeevkumar Angadi. "A brief survey on human activity recognition using motor imagery of EEG signals." Electromagnetic Biology and Medicine (2024): 1-16. (SCOPUS) click here
- Shital M. Gujarathi, Rahul Shrivastava, Sanjeev Kumar Angadi, A Survey of Kidney Cancer Analysis Using Machine Learning and Deep Learning Algorithms, Journal of electrical systems 20.6(2024) (SCOPUS) click here
- Deepti, A., Rahul Shrivastava, Sanjeev Kumar Angadi "A Survey on Conversational AI Question answering System for Low Resource." J. Electrical Systems 20.6s (2024): 2531-2540. (SCOPUS) click here
- Shrivastava, Rahul, and Pushpraj Singh Chauhan. "Spiking neural network-based computational modeling of episodic memory." Computer Methods in Biomechanics and Biomedical Engineering (2023): 1-15. (SCIE) click here
- Rahul Shrivastava, VivekTiwari,Swati Jain, BasantTiwari,Alok Kumar Singh Kushwaha,VibhavPrakash Singh, A role-entity based human activity recognition using inter-body features and temporal sequence memory, IET Image Processing, (2022). (SCI) Click Here
- Rahul Shrivastava, Prabhat Kumar, Sudhakar Tripathi, et al, “A Novel Grid and Place Neuron’s Computational Modeling to Learn Spatial Semantics of an Environment”, Appl. Sci. Special Issue Cognitive Robotics, 10, 5147, 2020, (SCI, Impact Factor: 2.47) Click Here
- Rahul Shrivastava, Prabhat Kumar and Sudhakar Tripathi, “A Human Memory Process Modeling”, Recent Patents on Engineering, 14, no. 2 (2020): 179-193, (SCOPUS). Click Here
- Rahul Shrivastava,Prabhat Kumar and Sudhakar Tripathi, Modeling of Action Semantic Memory incorporated with Procedural memory to perform tasks, IJERT, 2019 (SCOPUS).
- Rahul Shrivastava and Prabhat Kumar, “Computational Modeling Techniques of Episodic Memory in Context of Intelligent Machines”, Multimedia Tools and Applications, Springer (SCI, Impact Factor: 2.3)-revision submitted
Conference
- Sourav Singh Sehgal, Rahul Shrivastava, and Trasha Bansal, MolBioART: Molecular Biological ART for Drug Discovery ,SISIMPACT 2025.
- Arvind Kumar Jain, Nupa Ram Chauhan, Rahul Shrivastava, and Vivek Sharma. Computational Model of Episodic Memory Encoding, Recalling and Fogetting. International Conference on CSNT 2025 (SCOPUS Indexed)
- Anam Arshad, Vivek Tiwari, Mayank Lovanshi, and Rahul Shrivastava. Human Activity Role Identification using Feature Vector and Encoding Techniques on Natural Language Sentences, 5th International Conference on Image, Video and Signal Processing (IVSP 2023), Singapore, ACM, 2023 (SCOPUS indexed) Click Here
- Aditi Verma, Vivek Tiwari, Mayank Lovanshi, Rahul Shrivastava. “Custom CDGNet for Human Part Semantic Segmentation”.International Conference On Emerging Trends in Expert Application and Security, Jaipur, 2023 Click Here
- Aditi Verma, Vivek Tiwari, Mayank Lovanshi, Rahul Shrivastava. “A Human Body Part Semantic Segmentation Enabled Parsing for Human Pose Estimation”, 5th International Conference on Image, Video and Signal Processing (IVSP 2023). (SCOPUS Indexed) Click here
- Anam Arshad, Vivek Tiwari, Mayank Lovanshi, and Rahul Shrivastava: Role Identification from Human Activity Videos using Recurrent Neural Networks. In: Proceedings of 8th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (2023) (SCOPUS Indexed) Click Here
- Rahul Shrivastava, Prabhat Kumar and SudhakarTripathi, Modeling of Basal Ganglia to incorporate the Procedural memory, ICACSE-19, 2019 (Elsevier). Click Here
- Rahul Shrivastava, and SudhakarTripathi. "A New Approach of Learning Based on Episodic Memory Model." Progress in Advanced Computing and Intelligent Engineering. Springer, Singapore, 2019. 129-138. Click Here
- Rahul Shrivastava, and SudhakarTripathi. "Computational Model of Episodic Memory Formation, Recalling, and Forgetting." Proceedings of International Conference on Recent Advancement on Computer and Communication. Springer, Singapore, 2018.Click Here
Awards and Achievements
Workshops / Seminars
- “Brain Computation and Learning Workshop”,IISC Bangalore, on 8-12January,2018.
- “Data Structure and Algorithm”, Department of Computer Science & Engineering, National Institute of Technology Patna, on 15-24 December, 2015.
- “Recent Trends in Computer Science & Technology”, Department of Computer Science & Engineering, National Institute of Technology Patna, on 18-19 December, 2015.
- “Foundation of Data Security”, Department of Computer Science & Engineering, National Institute of Technology Patna and ISEA-Phase-II, on 16-20 February, 2016.
- “Fuzzy Set System”, Electronics and ICT Academy, Department of Computer Science & Engineering, National Institute of Technology Patna, on 25-30April, 2016.
- One Week ISTE STTP Workshop on “Introduction to Algorithms”, funded by IIT Kharagpur and MHRD, India, March 2015.
- One Week Faculty Development Program on “Machine LearningTechniques, Application and Challenges”, organized by RGPV under TEQIP-III, on 3-07 August 2021.
Work Experience
- Currently Working as an Associate Professor in the Department of Computing Science, SRMIST, Trichirapalli, Tamil Nadu
- 1 year and 8 months of experience as an Asst. Prof. Grade II in the Department of SCOPE, VIT Bhopal, Madhya Pradesh, Since January 2024.
- 7 months of experience as an Asst. Prof. Senior Grade II in the Department of Computational Intelligence, VIT Vellore, Tamil Nadu from June 2023 to January 2024.
- 1 year and 7 of months experience as an Associate Professor and Head of the AIML, Sagar Institute of Science Technology and Research, Bhopal, from November 2021-May 2023.
- 4 months of experience as an Assistant Professor in the Department of CSE, Oriental Institute of Science and Technology, Bhopal, from July 2021-Octomber 2021.
- 9 months of experience as an Assistant Professor in the Department of CSE, Maulana Azad National Institute of Technology Bhopal (NIT Bhopal).
- 9 months of experience as an Assistant Professor in the Department of CSE, SIRT Bhopal, from January 2020 to September 2020.
- 4-Years of experience as a research scholar in the Department of CSE, National Institute of Technology Patna, fromAug 2015 to December 2019.
- 2 years and 2 months of experience as an Assistant Professor in Department of CSE, Bansal Institute of Research and Technology, Anand Nagar, Bhopal, from June 2013 to July 2015.
Memberships
NIL
Funded Projects
NIL
