Pratik Shah

Assistant Professor
Department of Computer Science and Engineering
Indian Institute of Information Technology Vadodara

Academic Qualifications

PhD in Information and Communication Technology 2012
Thesis: On the Curve Reconstruction on Riemannian Manifolds, Ordering Motion Frames
Supervisor: Prof. Samaresh Chatterji
DAIICT, Gandhinagar

M.Tech. in Information and Communication Technology 2005
Thesis: Active Contours in Action
DAIICT, Gandhinagar

B.E. in Electronics and Communication Engineering 20023
(Digital Signal Processing)
SVIT, Vasad, Gujarat University

CONTACT

Email: pratik [at] iiitvadodara [dot] ac [dot] in

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

Projects and Consultancy

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

  • 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

  1. Prashant Domadia, Vector Graph Representation for 3D Meshes (Degree Awarded 2021 DAIICT), @ ApparelGenius Link
Masters
  1. Pruthweesha S A, Multiclass Classification of Complaints Data and Confidence Score Attestation (2023-24)
  2. Prashant Dhameja, Information Lattice Learning (2021-22)
  3. Priya Sharma, Weather Forecast using Deep CNN (2020-21)
  4. Jaya Pathak, Markov Logic Network for Metaphor Set Expansion (2019-20) (Pursuing PhD @ NIT)
  5. Soumya Bhardwaj, Ride Sharing and Deep Reinforcement Learning (2019-20) (Pursuing PhD @ IIT Guwahati)
  6. Dharmveer Singh Maurya, Multi-elevator Control using RL (2019-20)
  7. Hemant Agarwal, On Reinforcement Learning Framework for the Recommender Systems (2018-19)
  8. Akansha Tyagi, Human Activity Recognition for Text Like Motion Retrieval (2018-19) (Pursuing PhD @ IIT Mandi)
  9. Dhruv Shah, Course Recommender System (2014-15) (with TCS)
  10. Falak Shah, Road Detection for Intelligent Transport Systems (2014-15) (@ Infocusp)
  11. Lekshmi Ramesh, Low rank and sparse decomposition of compressively sensed matrices: Application to surveillance video processing (2014-15) (PhD from IISc, @ IISc)
  12. Dhruv Gupta, Study of Fuzzy Clustering Algorithms and Enhanced Fuzzy Reasoning - Application to Texture Based Image Segmentation (2015)
Important Links

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