Artificial Intelligence, Geometry Processing, Natural Language Processing, Computational Music, Cognitive Aspects of Indian Classical Music
Projects and Consultancy
December 2025 - June 2027 (India Optel Limited, INR 64.14 Lakhs)
Design of Integrated Thermal Imaging Platform and Image Processing Algorithms
December 2025 - December 2027 (Urban Improvement Trust Bhilwara, INR 38.94 Lakhs)
Government School Digitization Project
September 2025 - Feb 2026 (Indian Knowledge System - INR 7.2 Lakhs)
1. Compilation and Validation of Predictions for Agriculture as Quoted in Compositions Preserved in the form of Bhadli Kavya: A Journey from Bengal, Bihar, Rajasthan to Gujarat
2. Development of a Course on “Harmonizing Traditions: Indian Classical Music and the Science of Sound” with focus on Creation of a Knowledge base of Bandishes Transcribed in Bhatkhande Notations
April 2025 - March 2028 (Sponsored R&D Higher Education Funding Agency - INR 50 Lakhs)
Development of Multisensor Data based Automated Crop Stress Management and Soil Map Monitoring System
July 2022 - March 2025 (Sponsored R&D ISRO - INR 11.49 Lakhs)
Development of Safe Ship Navigation Software for SAC, ISRO
October 2019 (Consultancy work with Tata Power - INR 3.16 Lakhs)
Conducted two five days training programs on Life Data Analytics in R (Failure Analysis for Predictive Maintenance) for Tata Power Engineers at Mumbai and Jamshedpur.
October 2020 - October 2021 (Joint research with Indian Meteorological Department)
Title : Data-Driven Model Free Approach to Weather Analysis
Developed nowcast and forecasting pipeline using Deep Convolutional Neural Networks for the state of Madhya Pradesh as a project coordinator along with Dr. Soma Sen Roy, Scientist-F, IMD
July 2025 - Conti.
Associate Professor (Level-13 A2)
Department of Electronics and Communication Engineering
Indian Institute of Information Technology Vadodara
January 2016 - July 2025
Assistant Professor (Grade-I, Level-12, Cell-11)
Department of Computer Science and Engineering
Indian Institute of Information Technology Vadodara
July 2013 - January 2016
Assistant Professor (AGP 8000) with Indian Institute of Information Technology Vadodara
July 2011 - July 2013
Faculty member with the Department of Electronics and Communication, The LNMIIT, Jaipur
JRF (July 2005- June 2006) and SRF (July 2006 - June 2007) at DAIICT for a Project on Development of Software Suit for Estimation Filters (Kalman, extended Kalman and Particle filters) for Direction of Arrival Passive Target Tracking with NSTL, Vizag
Geometry Processing and Computer Vision
Prashant Domadiya and Pratik Shah. 2024. Real-Time Enveloped Mesh Editing Using Vector Graph Representation. In SIGGRAPH Asia 2024 Technical Communications (SA '24). Association for Computing Machinery, New York, NY, USA, Article 33, 1–4. https://doi.org/10.1145/3681758.3698001
Prashant M Domadiya, Pratik Shah, and Suman Mitra. 2019. Guided Deformation Transfer. In Proceedings of the 16th ACM SIGGRAPH European Conference on Visual Media Production (CVMP '19). Association for Computing Machinery, New York, NY, USA, Article 7, 1–10. https://doi.org/10.1145/3359998.3369408
P. Domadiya, P. Shah and S. K. Mitra, "Vector Graph Representation for Deformation Transfer Using Poisson Interpolation," 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, USA, 2018, pp. 876-884, doi: 10.1109/WACV.2018.00101.
Shah, P., Chatterji, S. On the Curve Reconstruction in Riemannian Manifolds. J Math Imaging Vis 45, 55–68 (2013). https://doi.org/10.1007/s10851-012-0344-0
AR/ VR
Pranay Solanki, Anuraag Patil, Pratik Shah, Pramit Mazumdar, Comparative Evaluation of Immersive Virtual Reality and Document-Based Training for Industrial Gas Leak Response, 10th International Conference on Intelligent Computing and Virtual & Augmented Reality Simulations (ICVARS) 2026.
Harsha Agrawal, Patchigolla Chinmayee, Samadhan Erande, Pratik Shah, Pramit Mazumdar, Virtual Reality Based Earthquake Training with Blockchain Certification, 10th International Conference on Intelligent Computing and Virtual & Augmented Reality Simulations (ICVARS) 2026.
Sonawane, P., Haldar, S., Bharti, S., Mazumdar, P., Shah, P. (2026). Explosive Neutralization Training in Virtual Reality. In: Nakamatsu, K., Kountcheva, R., Patnaik, S. (eds) Virtual Reality and Visualization Based on AI Technologies. AIVR 2025. Smart Innovation, Systems and Technologies, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-032-10951-4_9
Mehta, M., Dhoni, S., Raj, D., Mazumdar, P., Shah, P. (2026). Impact of Preconditioning and Cognitive Overload on Recall Tasks in Virtual Environments. In: Nakamatsu, K., Kountcheva, R., Patnaik, S. (eds) Virtual Reality and Visualization Based on AI Technologies. AIVR 2025. Smart Innovation, Systems and Technologies, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-032-10951-4_14
Vaibhav Kumar Jonwal, Pratik Shah, Pramit Mazumdar, “Immersive Metaverse Piano Tutorial: Comparative Analysis of VR Interaction Methods”, 9th IEEE International Conference on Intelligent Computing and Virtual & Augmented Reality Simulations (ICVARS) 2025, Birmingham, UK
Amon Sharma, Rudra Patel, Soham Sawant, Pratik Shah, Pramit Mazumdar. “Mixed Reality LEGO vs. Physical LEGO: Cognitive, Emotional, and Motor Advantages”, 9th ICVARS 2025, Birmingham, UK
Cybersecurity
Arpit Jain, Saransh Naik, Shailendra Mandal, Gaurav Pareek and Pratik Shah, “User-Driven Query Sanitization for Interactive Chatbots using Fine-Tuned Sequence-to-Sequence Models,” 6th International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2026), C-DAC Noida, India, 1–3 July 2026. (Conference Proceedings indexed in Lecture Notes Networks and Systems, Accepted for Publication)
Megh Bhatt, Pratik Shah and Gaurav Pareek, “A Novel Awareness-Based Chatbot Framework for Preventing Accidental Data Leakage”, 16th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT-2025). IIT Indore, India
Machine Learning/ Deep Learning (Image/ Video/ NLP)
Bhatter, Govind & Shukla, Animesh & Popatiya, Pratham & Shah, Pratik & Patel, Jignesh. (2026). Enhanced Drug Toxicity Prediction via Reverse Transfer Learning and Graph-Based Visual Verification, Proceedings of the International Conference on Recent Advances in Intelligent and Sustainable Technologies (RAIST 2026) 10.2991/978-94-6239-707-1_29.
Vaghasiya, V., Shimpi, D., Shah, P., Bhatt, J.,”Text Classification using LLM and Group Relative Policy Optimization (GRPO)" 11th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2025) [Accepted]
Shivam Solanki, Manthan Hirani, Venkata Phanikrishan, Pratik Shah, "Dynamic Risk Stratification in ICU Sepsis: A Deep Reinforcement Learning Approach Using Synthetic Data", IEEE International Conference on Recent Advances in Computing and Systems (ReACS '25)
Airani, P.; Pipada, N. and Shah, P. (2025). Classification of Complaints Text Data by Ensembling Large Language Models. In the 17th International Conference on Agents and Artificial Intelligence - ICAART 2025
Sharma, D. K.; Singh, U.; Nalawade, S. and Shah, P. (2025). Comparative Analysis of Simulated Annealing and Particle Swarm Optimization for Multi-Robot Task Allocation in ROS. In the 17th International Conference on Agents and Artificial Intelligence - ICAART 2025
Sharma P., Patel A., Shah P. and Senroy S. (2023). Data-Driven Weather Forecast Using Deep Convolution Neural Network. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 853-860. DOI: 10.5220/0011785200003393
Pathak J. and Shah P. (2021). Markov Logic Network for Metaphor Set Expansion. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 621-628. DOI: 10.5220/0010205606210628
Akansha Tyagi, Ashish Patel, and Pratik Shah. 2019. Text Like Classification of Skeletal Sequences for Human Action Recognition. In Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26–29, 2019, Revised Selected Papers, Part II. Springer-Verlag, Berlin, Heidelberg, 335–350. https://doi.org/10.1007/978-3-030-41299-9_26
D. Shah, P. Shah and A. Banerjee, "Similarity based regularization for online matrix-factorization problem: An application to course recommender systems," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017, pp. 1874-1879, doi: 10.1109/TENCON.2017.8228164.
F. Shah, P. Shah and R. Dubey, "Specularity removal for robust road detection," 2016 IEEE Region 10 Conference (TENCON), Singapore, 2016, pp. 1853-1858, doi: 10.1109/TENCON.2016.7848342.
L. Ramesh and P. Shah, "R-SpaRCS: An algorithm for foreground-background separation of compressively-sensed surveillance videos," 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Karlsruhe, Germany, 2015, pp. 1-6, doi: 10.1109/AVSS.2015.7301773.
Domadiya, P., Shah, P., Mitra, S.K. (2015). Fast and Accurate Foreground Background Separation for Video Surveillance. In: Kryszkiewicz, M., Bandyopadhyay, S., Rybinski, H., Pal, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2015. Lecture Notes in Computer Science, vol 9124. Springer, Cham. https://doi.org/10.1007/978-3-319-19941-2_10
S. Parekh and P. Shah, "Nyquist filter design using POCS methods: Including constraints in design," 2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Noida, India, 2014, pp. 000370-000375, doi: 10.1109/ISSPIT.2014.7300617.
Cognitive Engineering
Bhavsar, P., Shah, P., Sinha, S. et al. Musical Neurofeedback Advancements, Feedback Modalities, and Applications: A Systematic Review. Appl Psychophysiol Biofeedback 49, 347–363 (2024). https://doi.org/10.1007/s10484-024-09647-0
Teaching
Courses Taught
Core Courses:
Artificial Intelligence, Information Retrieval, Natural Language Processing
Discrete Mathematics, Probability and Statistics, Essential Mathematics, Linear Algebra, Signals and Systems, Digital Signal Processing, Principles of Communication
Elective Courses:
Quantum Machine Learning
Topological Data Analysis, Curves and Surfaces for Computer Graphics, Computer Graphics and Multimedia
Introduction to Metaverse, Introduction to Robotics
Information Theory Inference and Learning
Signals and Systems, Digital Signal Processing, Principles of Communication
Optimization Methods, Category Theory
Training/ Certification Program Conducted
AICTE sponsored QIP PG Certification Program on Artificial Intelligence (https://sites.google.com/iiitvadodara.ac.in/qip-pg-cert-ai)
2020 - Cont. DLI Certified Instructor for FDL, University Ambassador NVIDIA, Conducted Multiple hands-on workshops on Fundamentals of Deep Learning at IIIT Vadodara, SCET Surat, NFSU Gandhinagar and in online modality for the students of AU, Nirma University, PDEU
2019 - 2021 Conducted four faculty development programs of five day duration on Artificial Intelligence and Data Analytics sponsored by AICTE (ATAL)
Summer 2022, 2023, 2024 Conducted a Continuing Education Program on Music Mathematics and Machines (https://sites.google.com/iiitvadodara.ac.in/mmm/home)
He is also the project coordinator for GUJCOST sponsored High Performance Computing laboratory at IIIT Vadodara. He is a senior member of IEEE and is also serving as a Vice Chair of Computational Intelligence Society, Gujarat Chapter, IEEE.
Students
Doctoral
Prashant Domadia, Vector Graph Representation for 3D Meshes (Degree Awarded 2021 DAIICT)
Ekta Desai, Spatio-Temporal Trajectory Planning and Generation for Unmanned Vehicles in Digital Twin-Based Autonomous Vehicle Infrastructure (Comprehensive Completed)
Sangita Patil, Agriculture Information System (Course work completed)
Avinash Singh Chauhan, Self-Learning AI Observability for Fault Diagnosis and Predictive Maintenance in Connected Transportation Cyber-Physical Systems (Comprehensive Completed) - Jointly with Prof. Jignesh Patel
Sourav Dey, Soil Digital Twin (Course Work Cont.)
Vikas Vaghasiya, Category Discovery (Course Work Cont.)
Arpita Singh, Matrix Factorization for Image Enhancement, Missing Data and Resolution Enhancement, (Course Work Cont.) - Jointly with Prof. Deepika Gupta, Prof. Dharmendra Singh
Masters
Vikas Vaghasiya, Hierarchical Hyperbolic Representation Learning for Face Spoof Detection and Category Discovery (2025-26)
Pruthweesha S A, Multiclass Classification of Complaints Data and Confidence Score Attestation (2023-24)
Prashant Dhameja, Information Lattice Learning (2021-22)
Priya Sharma, Weather Forecast using Deep CNN (2020-21)
Jaya Pathak, Markov Logic Network for Metaphor Set Expansion (2019-20) (Pursuing PhD @ NIT)
Soumya Bhardwaj, Ride Sharing and Deep Reinforcement Learning (2019-20) (Pursuing PhD @ IIT Guwahati)
Dharmveer Singh Maurya, Multi-elevator Control using RL (2019-20)
Hemant Agarwal, On Reinforcement Learning Framework for the Recommender Systems (2018-19)
Akansha Tyagi, Human Activity Recognition for Text Like Motion Retrieval (2018-19) (Pursuing PhD @ IIT Mandi)
Dhruv Shah, Course Recommender System (2014-15) (with TCS)
Falak Shah, Road Detection for Intelligent Transport Systems (2014-15) (@ Infocusp)
Lekshmi Ramesh, Low rank and sparse decomposition of compressively sensed matrices: Application to surveillance video processing (2014-15) (PhD from IISc, @ IISc)
Dhruv Gupta, Study of Fuzzy Clustering Algorithms and Enhanced Fuzzy Reasoning - Application to Texture Based Image Segmentation (2015)