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Artificial Intelligence, Geometry Processing, Natural Language Processing, Computational Music, Cognitive Aspects of Indian Classical Music

Projects and Consultancy

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
Funding Agency: Indian Knowledge System
Duration: 6 Months
Role: Principal Investigator
Start Date: July 2025
Sanctioned Amount: INR 3.6 Lakhs

Development of Multisensor Data based Automated Crop Stress Management and Soil Map Monitoring System
Funding Agency: Higher Education Funding AgencyHigher Education Funding Agency
Project Code: SAN/CSR/11/2024-25
Duration: 3 Years
Role: Principal Investigator
Start Date: April 1, 2025
Sanctioned Amount: INR 50 Lakhs

Development of Weather Aware Safe Ship Navigation Software
Funding Agency: ISRO
Project Code: YS/PD-IP/2021/342
Duration: 2 Years (July 2022 - July 2024)
Role: Principal Investigator
Sanctioned Amount: INR 11,42,920

Data Drive Weather Forecast using AI/ DL
Agency: Indian Meteorological Department, Ministry of Earth Sciences, India
Role: Principal Investigator
Duration: October 2020 - October 2021

Data Analytics for Predictive Maintenance
Conducted two five days training programs for engineers on Data Analytics for Predictive Maintenance at Tata Power Mumbai and Jamshedpur as a consultancy project. October - November 2019

Assistant Professor with the department of Computer Science and Engineering, Indian Institute of Information Technology Vadodara (July 2013 - cont.)
Faculty member with the department of Electronics and Communication Engineering at the LNMIIT, Jaipur (June 2011 - June 2013)
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

Google Scholar

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
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.
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
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.
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.
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.
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
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
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
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. [Accepted] In the 17th International Conference on Agents and Artificial Intelligence - ICAART 2025
Airani, P.; Pipada, N. and Shah, P. (2025), Classification of Complaints Text Data by Ensembling Large Language Models. [Accepted] In the 17th International Conference on Agents and Artificial Intelligence - ICAART 2025
Shah, P., Chatterji, S. Real-Time Enveloped Mesh Editing Using Vector GraphOn the Curve Reconstruction in Riemannian Manifolds. J Math Imaging Vis 45, 55–68 (2013). https://doi.org/10.1007/s10851-012-0344-0
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.
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
KD Bhavsar P, Shah P, Sinha S; Musical Neurofeedback Advancements, Feedback Modalities, and Applications: A Systematic Review, Appl Psychophysiological Biofeedback 5 (PMID: 38837017), 2024
Punitkumar Bhavsar, Saugata Sinha and Pratik Shah, (2023) Enhance Mental Well-Being through the Integration of Neurofeedback and Meditation, National Youth Conference on Indian Knowledge Systems (Poster).
Sharma, P.; Patel, A.; Shah, P. and Senroy, S. (2023). Data-Driven Weather Forecast Using Deep Convolutional Neural Network. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3, ISBN 978-989-758-623-1, ISSN 2184-433X, pages 853-860.
Jaya Pathak and Pratik Shah, “Markov Logic Network for Metaphor Set Expansion”, International Conference on Agents and Artificial Intelligence, ICAART, 2021
Akansha Tyagi, Ashish Patel and Pratik Shah, “Text Like Classification of Skeletal Sequences for Human Action Recognition”, The fifth Asian Conference on Pattern Recognition, 2019
Prashant Domadia, Pratik Shah and Suman K Mitra, “Guided Deformation Transfer”, 16th ACM SIGGRAPH European Conference on Visual Media Production, 2019
Prashant Domadia, Pratik Shah, Suman Mitra; Shadow-Free, Expeditious and Precise, Moving Object Segmentation from Video; International Journal of Image and Graphics; 18 (01); 2018
Prashant Domadia, Pratik Shah and Suman Mitra, “Vector Graph Representation for Deformation Transfer using Poisson Interpolation”, IEEE, Winter Conference on Applications of Computer Vision (WACV), 2018
Ashish Patel, Pratik Shah, “Hyperdimensional Computing for Indian Native Language Identification”, FIRE 2018
Ashish Patel, Pratik Shah, “Learning as Computing with Random Patterns”, The Fifth Annual Conference on Cognitive Science, IIT Guwahati, 2018
Sanjeel Parekh and Pratik Shah, “Nyquist Filter Design using POCS Methods: Including Constraints in design”, 14th IEEE International Symposium on Signal Processing and Information Technology, 2014ce on applications of computer vision, 2018
Dhruv Shah, Pratik Shah and Asim Banerjee, “Similarity based regularization for online matrix-factorization problem: an application to course recommender systems”, IEEE International Conference Region 10 TENCON 2017
Falak Shah, Pratik Shah and Rahul Dubey, “Specularity Removal for Robust Road Detection”, IEEE International Conference Region 10, TENCON, 2016
Prashant Domadiya, Pratik Shah and Suman K. Mitra, “Fast and Accurate Foreground Background Separation for Video Surveillance”, 6th International Conference on Pattern Recognition and Machine Intelligence, 2015
Lekshmi Ramesh, and Pratik Shah, “R-SpaRCS : An Algorithm for Foreground-Background Separation of Compressively-Sensed Surveillance Videos”, 12th IEEE International Conference on Advanced Video and Signal based Surveillance, 2015
Pratik Shah, Samaresh Chatterji; On the Curve Reconstruction in Riemannian Manifolds; Journal of Mathematical Imaging and Vision; 45 (1); 55-68; 2013

Teaching
Pratik teaches courses on Artificial Intelligence, Natural Language Processing, Information Retrieval and Topological Data Analysis. He is a math enthusiast and likes to explore concepts from Category Theory connecting Geometry and Algebra. He has developed a course on Music, Mathematics and Machines which has been offered twice as a continuing education program during the summers of 2022 and 2023.

Pratik is actively involved in capacity building and outreach activities. He has conducted following training/ certification programs.

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), @ ApparelGenius Link

Masters

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)

Pratik Shah

Associate Professor
Department of Electronics and Communication Engineering
Indian Institute of Information Technology Vadodara

Academic Qualifications

CONTACT

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