PhD - Graduated
Dr. Prakash Gajjar (Some new Techniques for Motion-free Super-resolution) (Joined back as Faculty at Govt. Polytechnic for Girls, Surat, Gujarat)
Dr. Hetal Patel (Image Processing for Food and Agri. Applications) [Jointly with Prof. R. K. Jain, SP University]
Dr. Kishor Upla (Some new Methods for Multi-resolution Image Fusion) [Thesis] (Faculty at NIT Surat - Post doc at NTNU, Norway)
Dr. Rakesh Patel (New Techniques for Spatial Resolution Enhancement of Hyperspectral Images) (Joined back as Faculty at LD College of Engg. Ahmedabad, Gujarat)
Dr. Jignesh Bhatt (Novel Approaches for Spectral Unmixing of Hyperspectral Data) (Faculty at IIIT Vadodara, Gujarat)
Dr. Milind Padalkar (Novel Techniques for Auto-inpainting in Heritage Reconstruction) (Post Doc at IIT, Pavis, Italy)
Dr. Sonam Nahar (Dense Disparity estimation using Stereo images) (Faculty at PDEU, Gandhinagar, Gujarat)
Dr. Shrishail Gajbhar (Wavelets and Filter banks: Novel Approaches for Real and Complex-valued transform Designs) (Data Scientist, 3i Infotech Limited, Chennai)
Dr. Kamal Captain (Spectrum Sensing for Cognitive Radio) (Faculty at NIT Surat- Post doc offer at Sinica, Twaiwan)
Dr. Jignesh Patel (Unmixing using Machine Learning) (jointly with Dr. Jignesh Bhatt) (Faculty at IIIT Vadodara, Gujarat)
PhD - Current
Prashant Gohel (Quantum Machine Learning - Researcher at HCL, Bangalore) [2022 --202-]
Pooja Garg (Early plant disease detection using ML/DL - Jointly with Prof. Vinay Palaparthy) [2023--202-]
Dhiraj Golhar (ML/DL in Computer Vision) [2023--202-]
Himanshu Tyagi (Plasma physics with Machine Learning - Scientist at IPR, Gandhinagar) [2023--202-]
Bhavin Makwana (Quantum Machine Learning - Jointly with Prof. Jaideep Mulhelkar) [2024--202-]
M.Tech
2007 - 08
Swati Sharma (Photometric Stereo)
Vineet Pratap Singh
2009 - 10
Sonam Nahar (Graph cuts for Stereo)
Abhishek Shripat (Multiresolution Fusion)
2010 - 11
Chintan Parmar (Automatic Image Inpainting for Heritage Sites)
Keyur R. Ranipa (Depth from Defocus)
2011 - 12
Harikumar (Multiresolution Fusion)
Manali Vora (Automatic Inpainting)
Ajay Parmar (Speech and Image for Face Recognition)
2012-13
Neha Sisodiya (Image to Text)
Jaladhi Vyas (Automatic Detection of Destination Image for Morphing)
2013-14
Geethakrishnan P. (Alias Minimization for 1D Signals)
Archit Jain (Image Compression)
Varun Gyanchandani (Graphics for Immersive Navigation)
2014-15
Dheeraj Singhal (Compression)
2015-16
Prathmesh Madhu (Image super-resolution)
Surabhi Sohoney (Blind inpainting and super-resolution)
Ketul Parikh (Object classification)
Hanish Kathpal (Object recognition)
2016-17
Keval Dave (Active learning and Meta-Cognition)
Shaival Thakkar (Activity Detection)
Priyanka Sharma (Breast cancer classification using learned features)
2017-18
Udit Srivatava (Multi-class diagnosis of Diabetic Retinopathy)
Jeni Shah (Drug discovery using Generative models)
Dhara Kotecha (Cross domain learning)
Neha Rani (Wind Energy Forecast using deep learning)
2018-19
Ketul Shah (Segmentation - OCR - Part of Consultancy work)
Pratik Prajapati (Classification - OCR- Part of Consultancy work)
Garishma Shaw (Image Captioning using Reinforcement Learning)
2019-20
Shweta Suresh (Lottery ticket hypothesis)
2020-21
Amruta Kalgutkar (Adversarial defense using visual encryption)
Sarathi Shah (Language detection and translation in multilingual languages)
2021-22
Hari Charan (Automatic Text Translation using Transformer) (Joint Supervision)
Pravir Pal (Text Detection in Scene or Document Image) (Joint Supervision)
Pushpendra Kumar (Attack on Network Traffic Classification)
Varun Shah (Time Series Forecasting)