UCS654: Predictive Analytics using Statistics | Click Here
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Latest Updates
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[Mar.25]: Congratulations to the Team Angel for winning CSED Hackathon.
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[Jan.25]: Capstone Project Report Template, PPT Guidelines.
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[Jan.25]: SOP template, LOR template
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[Dec.24]: Congratulations! Team Sankalp [Winner of SIH-2024]
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[Nov.24]: The Blog on Vision Transformer (Author: Ms. Samaira Chhabra, CSE, II Year)
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[Jun.24]: Produced Kaggle Grand Master, master, expert as outcome of the course on Predictive Analytics using statistics in 2024ODD semester.
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[Mar.24]: ONE paper ACCEPTED in Journal of Visual Communication and Image Representation
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[Jan.24]: ONE paper ACCEPTED in Multimedia Tools and Applications;
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[Nov.23]: ONE paper ACCEPTED in Multimedia Tools and Applications; Congratulations Dr. Gunjan Verma.
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Congratulations to my team Aarakshak for winning award of one lakh in Kavach-2023 (National Competition, GoI)
List of Active Projects
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DeepFake Identification and Provenance Tracking [OG]
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Taxiing System [OG]
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Rain drop and streak removal from single image [OG] (Submitted in NTIRE-2025)
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Activity based video summary preparation system [OG]
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Mamas: A human cognitive behavior analysis [OG]
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Night photography rendering [C]
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Smart Bicycle allocation System [C]
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Mayo Clinic – Image Classification of Stroke Blood Clot Origin [C]
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Eagle-Eye: A face based smart surveillance system [C]
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Development of mobile application for Face Unmasking [C]
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An automatic scene understanding using google glasses [C]
{ C: Completed; OG: On-Going; S:Started}
Some Important Resources
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Learn UCS654-Predictive Analytics using statistics. [Click Here]
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Learn basics of latex for research paper/documentation. [Click Here]
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International Competitions: NTIRE, Image-SkelNetOn, GAN/VAE.
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Existing codes for research. [Click Here]
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CVMI-2022. [Click Here] NEW
Winners, Kavach-2023
Academics, Award and Achievements
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Teaching/Research Experience: 16.5 years in the capacity of AP and Associate Professor.
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Gate Qualified in 2009 [98 percentile], 2010 [96 percentile] and 2016 [97 percentile].
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Best Student Award by Akhil Bhartiya Vidyarthi Parishad, Uttar Pradesh, 1997.
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UP Board Merit holder. Obtained 97/100 in mathematics in 10 Board.
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Obtained MHRD fellowship for Doctoral degree from July, 2016 to Jan, 2019.
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Academic Associate, IBM, 2011.
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Associate Developer, IBM, 2012.
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Guided students to obtained research internships under TIH iHUB at IIT Roorkee and IIT Jodhpur.
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Created the value added course on “Introduction to Machine Learning-2020”, 2020 at GLA University, Mathura, Uttar Pradesh.
Ph.D.: Information Technology |July-2016 to Jan-2019| ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, Madhya Pradesh, India|
[Supervisor: Prof. Shashikala Tapaswi (ABV-IIITM), Mentor: Prof. S.G. Deshmukh (Indian Institute of Technology, Delhi, India).]
M.Tech: Computer Science|July-2011 to June-2013|GLA University, Mathura, Uttar Pradesh, India| [Supervisor: Prof. Charul Bhatnagar, GLA Universiy, Mathura, India.]
B.Tech:Computer Science & Engineering|July-2001 to June-2005|Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India|
SIH-2024 Winners (Team Sankalp)
Motivational Points
- The happiness and love are the food of life.
- Enjoy and invest in nurture yourself.
- Be expressive and responsible.
- Take risk. If you win, you can lead; if you lose, you can guide
Funded Projects
1. Mathematical Modelling and Development of Visual Information based Dehazing Device for Hazy Environment [Cost: 575000]
2. Design of Thapar Time-Table Management System [Cost: 2300000]
Reviewing Service
Research Area
- Image and Video Denoising
- Deep-Fake Image, Video and Audio Identification
- Physics based Image and Video
- Energy Efficient Deep Neural Network Design
- Zero Carbon Emission based Machine Learning
- Design more Generic Deep Neural Network
- Modeling for Continual Learning
- Designing of Responsible and Explainable Vision Transformers
- All types of Inverse Problems (Ill-posed problems)
- IEEE Transaction on Image Processing
- IEEE Transactions on Artificial Intelligence
- IEEE Transactions on Consumer Electronics
- IET Electronics Letters
- IET Image Processing
- Multimedia Tools and Applications
- The Visual Computer
- IEEE Transactions on Computational Imaging
- Imaging Science Journal
- Signal, Image and Video Processing
- Computer and Electrical Engineering
- Taylor and Francis
Area of Expertise
Research
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Statistical Methods
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Stochastic Processes
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Classical Machine Learning
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Artificial Neural Network
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Deep Learning
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Convolution Neural Network
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Adversarial Learning
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Generative Adversarial Networks
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Vision Transformers
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Predictive Analytics
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Computer Vision and Image Processing
Teaching
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Data Structure
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Building Innovative Systems
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Predictive Analytics using Statistics
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Probability and Statistics
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Probability Distribution
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Object Oriented Design
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Automata Theory
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Design and Analysis of Algorithm
Tools and Libraries
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OpenCV
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MATLAB
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CUDA
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Torch
Programming
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C and C++
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Pointers in C
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Core Java
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Python
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R