Research Overview

Machine learning and Data science deals with data-aware mathematical models, algorithms and computational tools to manage, analyse and process possibly large scale data for various applications. There are several faculty members at DAIICT working in applications of Machine learning to wide-ranging domains like Image Processing and Computer Vision, Speech Processing, Information Retrieval, Natural Language Processing, Computional Neuroscience, Multimedia Forensics and Security, Biometrics, and Signal Processing and Communication. Faculty also work on core issues in Machine learning like Dimensionality reduction and Adversarial Machine learning. Aspects of Data Science pursued at DAIICT include Modeling Complex networks, Databases and Computational algorithms and tools for simulations on HPC and GPUs. Computing facility at the institute is available in the form of a HPC cluster, apart from GPU’s funded by projects. The Speech lab and Information Retrieval lab at DAIICT fall under the umbrella of Machine learning and Data Science.

Faculty

• Prof. Aditya Tatu: Shape Modeling
• Prof. Anil Roy: Assistive Technologies, Sensors and Sensing Applications, AI, ML, NLP
• Prof. Arpit Rana: Applied Machine Learning, Recommendation Systems, Multimodality, and their applications in Digital Innovation and Transformation
• Prof. Bakul Gohel: Biomedical Image and Signal Analysis, Applied Deep Leaning, Computer Vision
• Prof. Bhaskar Chaudhury: Computational Plasma Physics, Data Driven Plasma Engineering, Computational Electromagnetics, High Performance Scientific Computing, Computational Data Science, Applications of AI/ML
• Prof. Manjunath Joshi: Computer Vision, Responsible AI, Quantum Machine Leaning
• Prof. Prasenjit Majumder: Natural Language Processing, Information Retrieval, Cognitive Science
• Prof. Pritam Anand: Forecasing Methods, Quantile Regression, Loss Function, Support Vector Machines
• Prof. Rachit Chhaya: Coresets (Provable Sampling Algorithms for ML), Fairness in ML
• Prof. Shruti Bhilare: Biometrics and adversarial machine learning
• Prof. Sourish Dasgupta: Natural Language Processing (Evaluation of LLMs; Personalization of LLMs; Threat Detection; Reviewer Recommendation); Knowledge Graph Inferencing (Neuro-symbolic KG Embedding & Reasoning)
• Prof. Srimanta Mandal: Digital Image Processing, Computer Vision, Machine Learning
• Prof. Tathagata Bandyopadhyay: Statistical Inference, Survey Sampling, Discrete Data Modeling and Analysis, Applications of Statistical Methodologies in Various Fields

Research Groups and Labs

• Smart City Lab
• Intelligent Surveillance Research Lab (ISRL)
• Computational Science and HPC Lab
• High Performance Computing Group
• Knowledge Discovery & Management Lab (KDM Lab)
• Information Retrieval & Language Processing Lab
• Natural Language Processing Group
• Computer Vision & Deep Learning Research Group
• Pattern Recognition and Image Processing Group
• Geospatial Lab

  RESEARCH PROJECTS

More Information Through Figure

Sponsored Research

Faculty Handbook

PI/Co-PI	Project Title	Funding Agency	Duration	Amount
Prof. Anil Roy / Prof. Bakul Gohel	Development of Proof of Concept of “Optical Camera-based Smart Navigation System for Assisting Total Knee Arthroplasty”	Gujarat Gas Ltd. Through GCSRA	Feb 2023 to ongoing	52,75,308 INR
Prof. Bakul Gohel and Prof. Anil Roy	validation of “HoloLens Based Mixed Reality and Tool Tracking System for the Total Knee Arthroplasty Application	Arthro3D LLP, Ahmedabad	May 2023 to ongoing	4,60,200 INR
	Analysis of the kne3wiz software for bone model generation from CT scan for total knee arthroplasty application	Arthro 3D LLP, Ahmedabad	Sept 2021 to June 2022 (9 months)	6,00,000 INR
Prof. Bhaskar Chaudhury	Computational investigations of instability driven transport in low temperature magnetized plasma discharges using massively parallel 2D-3v PIC-MCC simulations	Govt. sponsored Project (National), National Supercomputing Mission, Gov. of India	2 years (March 2021 – March 2023)	Rs. 26.95 Lakhs
	Kinetic Modeling of Large size Negative Ion Sources for Fusion Application using Emerging Parallel Processing Computer Architectures	Government sponsored Project (National), Department of Atomic Energy (DAE)/ Board of Research in Nuclear Sciences (BRNS)	4 Years (March 2016- March 2020)	Rs. 23.8 Lakhs
	Multiscale Modeling and Simulation of complex Plasma Dynamics during High Power Millimeter Wave Breakdown	Govt. sponsored Project (National), SCIENCE & ENGINEERING RESEARCH BOARD (SERB), DST, Gov. of India.	3 years (March 2019 – March 2022)	rS. 21.6 Lakhs
	Satellite Network Simulator with ULPC and ACM features	Govt. sponsored Project (National), ISRO (Indian Space Research Organization), Department of Space, Gov. of India	2 years (Jan 2020 – Jan 2022)	Rs. 14.18 Lakhs
	establishing CUDA teaching center and nVIDIA GPU Research Center (GRC) at DAIICT, Gandhinagar	Industry sponsored project, nVIDIA Corporation, USA	2014 -2016	Research Hardware Support (nVIDIA GPUs) . Rs. 5.00 Lakhs
	NSF/TCPP CDER Center Early Adopter proposal – theNSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing - Fall 2014. High Performance Computing for Computational Science at DA-IICT, Gandhinagar, India	International Sponsored Project, National Science Foundation (NSF), USA	2014 -2019	USD 2500
	(Co-PI), Title: Development of geomagnetism based indoor navigation system using smartphones	Gov. Sponsored Project, DST NRDMS, Gov. of India	2 years (Nov 2020 – Nov 2022)	Rs. 27 Lakhs
	(Co-PI), Title: Prototyping Dog Jacket for Real Time Rescue Operation inspired by Robotics Technology	Gov. Sponsored Project, GUJCOST, Gov. of Gujarat	3 years (April 2022 – )	Rs. 19.83 Lakhs
Prof. Manish Khare	Development of an integrated surveillance system for suspicious behaviour analysis	Science and Engineering Research Board, Department of Science and Technology, New Delhi, India	01-12-2021, Duration: 3 Years	56.98 Lakh INR
	Design and Implementation of a visibility Improvement model for Haze removal in images acquired from real-time CCTV camera	Gujarat Council on Science and Technology	01.04.2021, Duration: 2 Years	19.25 Lakh INR
Prof. Manjunath Joshi [Prof. Hemant Patil (PI)]	Text to Speech for Gujarathi language	DIT, India	2012–2014	Rs. 76.9 lakhs
Prof. Manjunath Joshi (PI), Prof. Mukesh Zaveri and Prof. Hemant Patil	Immersive Navigation for Walk Through Application	Indian Digital Heritage (IDH) project sponsored by DST, India	2011–2016	Rs 37.6 lakhs
Prof. Manjunath Joshi	Consulatncy work on "OCR Enhancement" sponsored by FactSet UK Limited (“FactSet”)	Broadgate Quarter, One Snowden Street, London, EC2A 2DQ	2018–2019	Rs. 8.76 lakhs
Prof. Priyanka Singh (PI) and Prof. Manjunath Joshi	A Forensic Tool for Land Revenue Documents Forgery Detection	GUJCOST (Gujarat Govt.), India	2021–2022	Rs 6.00 lakhs
Prof. Sourish Dasgupta	An empirical analysis on Deriving Test Cases from Natural Language text using MBT approach	RESPOND Programme Scheme from Space Application Center - Indian Space Research Organisation (SAC-ISRO), Government of India	01, May 2022 (period: 3 years)	Rs. 20.78 Lakhs
Prof. Srimanta Mandal	SAR Polarimetric Image classification using Wishart Mixture model and convolution Neural Networks	ISRO	3 Years	25.33 Lakhs INR
Dr Tapas Maiti, Dr Sujay Kadam, Dr Rahul Mishra	Development of IoT and AI/ML Systems in Reliance Sasan Power Plant and Coal Mines	Reliance SPL and DA-IICT	June 2023-Ongoing	-

Current Publications

Prof. Aditya Tatu

• Sumukh Bansal and Aditya Tatu, Affine Interpolation in a Lie Group Framework, ACM Transactions on Graphics(Proc. 46 th SIGGRAPH), vol. 38(4), pp. 71:1 - 71:16, July 2019.
• Manish Narwaria and Aditya Tatu, Interval-Based Least Squares for Uncertainty-Aware Learning in Human-Centric Multimedia Systems, IEEE Transactions on Neural Networks and Learning Systems, vol. 32(11), pp.5241-5246, Nov. 2021.
• Nileshkumar Vaishnav and Aditya Tatu, Signal Processing on Graphs: Structure Preserving Maps, IET Signal Processing, vol. 13(1), pp. 77 - 85, February 2019.

Prof. Anil Roy

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Prof. Arpit Rana

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Prof. Bakul Gohel

• K. Vaishnani, B. Gohel, and A. Hati, “Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image,” 2023 Int. Conf. Adv. Intell. Comput. Appl. AICAPS 2023, pp. 1–4, 2023
• B. Gohel and M. Khare, “EEG/MEG source imaging in the absence of subject’s brain MRI scan: Perspective on co-registration and MRI selection approach,” Int. J. Imaging Syst. Technol., vol. 33, no. 1, pp. 287–298, 2023
• B. Gohel, L. Kumar, and D. Shah, “Deep learning-based Automated Localisation of Anterior Commissure and Posterior Commissure Landmarks in 3D space from three-plane 2D MRI localiser slices of the brain,” Procedia Comput. Sci., vol. 218, pp. 1027–1032, 2022

Prof. Bhaskar Chaudhury

• Miral Shah, Bhaskar Chaudhury, Mainak Bandyopadhyay, and Arun Chakraborty; ‘Observation of double layer formation in low-temperature E × B plasma based negative ion sources’; Physics of Plasmas 30, 010701 (2023).
• Pratik Ghosh and Bhaskar Chaudhury; ‘Efficient Dynamic Mesh Refinement Technique for Simulation of HPM Breakdown-Induced Plasma Pattern Formation’; IEEE Transactions on Plasma Science, Vol: 51, Issue: 1, (2023).
• Pratik Ghosh, Bhaskar Chaudhury, Shishir Purohit, Vishv Joshi, Ashray Kothari, Devdeep Shetranjiwala; ''Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation"; Journal of Physics D: Applied Physics, Vol 57, no. 1, (2023).

Prof. Manjunath Joshi

• M. V. Joshi and K. Upla, Multi-resolution Image Fusion in Remote Sensing. Cambridge University Press, UK, January 2019).
• J. Patel, M. V. Joshi, and J. Bhatt, “A Novel Approach for Hyper Spectral Image Super resolution using Spectral Unmixing and Transfer Learning,” in Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS 2020), IEEE, Virtual, 2020.
• J. Shah and M. V. Joshi, “Classification of Imbalanced Bioassay Data With Features Learned Using Stacked Autoencoder,” in 15th International Conference on Machine Vision (ICMV 2022), Rome, Italy: SPIE, 2022.

Prof. Prasenjit Majumder

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Prof. Pritam Anand

• Anand, Pritam, Amisha Bharti, and Reshma Rastogi. "Time efficient variants of Twin Extreme Learning Machine." Intelligent Systems with Applications 17 (2023): 200169.
• Anand, Pritam, Shantanu Jain, and Harsh Savaliya. "New improved wave hybrid models for hourly significant wave height forecasting." IEEE Access (2023).
• Anand, Pritam. "A pinball loss support vector machine based regression model." 2021 IEEE 18th India Council International Conference (INDICON). IEEE, 2021.
• Anand, Pritam, Rastogi, Reshma. and Chandra, Suresh. (2022). A ν-Support Vector Quantile Regression Model with Automatic Accuracy Control. Research Reports on Computer Science, 1(2), 113–135. https://doi.org/10.37256/rrcs.1220221662

Prof. Rachit Chhaya

• "On Coresets For Regularized Regression", ICML 2020
• "Streaming Coresets for Symmetric Tensor Factorization", ICML 2020
• On Coresets for Fair Regression and Individually Fair Clustering. AISTATS 2022 4) Online Coresets for Parametric and Non-Parametric Bregman Clustering, TMLR 2022

Prof. Shruti Bhilare

• S. Sharma, R. Joshi and S. Bhilare, "Robust Adversarial Defence: Use of Auto-inpainting." In Proc. International Conference on Computer Analysis of Images and Patterns, Cyprus, 2023.
• U. Patel, S. Bhilare and A. Hati, "Enhancing Transferability of Adversarial Audio in Speaker Recognition Systems", In Proc. Iberian Conference on Pattern Recognition and Image Analysis, Spain, 2023.
• M. Shah, S. Mandal, S. Bhilare, A. Hati, “Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns”, In Proc. International conference on Signal processing and Communications, Bangalore, July 2022.
• S. Gajjar , A. Hati , S. Bhilare, S. Mandal, “Generating Targeted Adversarial Attacks and Assessing their Effectiveness in Fooling Deep Neural Networks”, In Proc. International conference on Signal processing and Communications, Bangalore, July 2022.

Prof. Sourish Dasgupta

• Rahul Vansh, Darsh Rank, Sourish Dasgupta, Tanmoy Chakraborty; Accuracy is not enough: Evaluating personalization in summarizers; Empirical Methods in Natural Language Processing (EMNLP; Findings), 2023
• Priyanshi Gupta, Yash Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty; Inline Citation Classification using Peripheral Context and Time-evolving Augmentation; The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
• Nishith Kotak, Anil K Roy, Sourish Dasgupta, Tirthankar Ghosal; A consistency analysis of different NLP approaches for reviewer-manuscript matchmaking; 23rd International Conference on Asia-Pacific Digital Libraries, ICADL, 2021

Prof. Srimanta Mandal

• N. Chaudhari, S. K. Mitra, S. Mandal, S. Chirakkal, D. Putrevu, and A. Misra, “Edge-Preserving classification of polarimetric SAR images using Wishart distribution and conditional random field,” International Journal of Remote Sensing, vol. 43, no.6, pp.2134-2155, 2022.
• S. Mandal, and A. N. Rajagopalan, “Local Proximity for Enhanced Visibility in Haze,” IEEE Transactions on Image Processing, vol. 29, pp. 2478-2491, 2020.
• K. Purohit, S. Mandal, and A. N. Rajagopalan, “Mixed-dense connection networks for image and video super-resolution,” Neurocomputing, vol. 398, pp. 360-376, 2020.

Prof. Tathagata Bandyopadhyay

• Arindam Chatterjee, Tathagata Bandyopadhyay, Ayoushman Bhattacharya (2023): Inference on regression model with misclassified binary response. Journal of Statistical Planning and Inference (Elsevier), Pages 1-20.
• Bhargab Chattopadhyay, Tathagata Bandyopadhyay, Ken Kelley, and P. Jishnu (2023): A Sequential Approach for Noninferiority or Equivalence of a Linear Contrast Under Cost Constraints. Psychological Methods (A Journal of the American Psychological Association), Pages 1-14.
• Gaurav Kumar Singh and Tathagata Bandyopadhyay (2023): Determinants of disagreement: Learning from inflation expectations survey of households. Journal of Forecasting (John Wiley), Pages 1-18.

Media Gallery

Meet Prof. Bhaskar Chaudhury!

Events and Activities

• Two-Day School on AI and Law, DA-IICT, Gandhinagar