Latest Updates
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[Sep.25]: [Strategy to win Hackathons! (Perspective of Judges)]
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[Sep.25]: [New] Smart India Hackathon is Open now!
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[Sep.25]: Guide to Crack Top MNC Hiring Processes in India (Placement related Tips-2025)! Click Here
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[Sep.25]: Thrilled to Share that the patent on "A Real-Time Image Device Device" has been granted!
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[Sep.25]: Congratulations to Arsh and Kritika for publication of a paper in the A* International Conference CVPR-2025! [Find paper here]
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[Sep.25]: Current Openings: Internship (in collaboration with University of Queensland, Brisbane, Australia) in the VSIP Group) Click Here
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[Apr.25]: Congratulations to Arshia (II Year, CSE) for selection at IIT-Ropar as Summer Intern.
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[Apr.25]: My book ("OOPS using C++") has been published [Link].
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[Apr.25]: Congratulations to Arsh and Kritika (II Year, CSE) for selection at IIT-Jodhpur as Summer Intern.
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[Apr.25]: Congratulations to Angel (II Year, VLSI) for getting selected at IIT-Ropar for Internship.
[Mar.25]: Congratulations to the Team Angel for winning CSED Hackathon. -
[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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Congratulations to my team Aarakshak for winning award of one lakh in Kavach-2023 (National Competition, GoI)
B.E. Success Roadmap: Academics to Career
🟢Year 1, Sem-1 & Sem-2: Foundation & Academic Focus
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Focus: Build a strong CGPA.
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Explore skills required as per your dream company.
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Develop study habits, time management, and explore basic programming.
🟡Year 2, Sem-3: Core Subjects & CGPA
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Focus: Maintain CGPA.
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Key Subjects to Excel:Data Structures, DBMS (Database Management System), Operating Systems, Object-Oriented Programming (OOP),Computer Networks, Algorithm Design
🟠Year 2, Sem-4: Industry-Oriented Learning
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Maintain CGPA and master core subjects by more practice on striber, leatcode etc.
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Start Projects: Build industry-oriented projects.
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Showcase: Upload projects to GitHub.
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Placement Prep: Improve coding, problem-solving, and aptitude skills.
☀️ Summer After Year 2: Internship [paid or unpaid]
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Action: Complete a paid or unpaid internship at a company or research institute.
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Goal: Gain hands-on experience relevant to your field and exposure
🔵 Year 3, Sem-5: Internship & Placement Preparation
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Begin online assessments for Paid Internships and Pre-Placement Offers (PPO)
🟣 Year 3, Semester 6-7: Major Project, CGPA
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Maintain CGPA.
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Capstone Project: Start your major project.
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Placement Prep: Practice interviews, coding rounds, and soft skills.
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Secure PPO or campus placement.
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Follow prior guidelines and refine your resume and interview skills.
⚪Year 4, Semester 8: Internship at PPO
Action: Join your PPO internship or finalize industry internship.
Goal: Apply knowledge gained through projects and training.
Pro Tips for Success
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Always maintain CGPA; it’s crucial for placements.
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Build a strong GitHub profile to showcase projects.
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Internships are key to gaining industry experience and PPOs.
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Start preparing placement aptitude & coding early, from Year 2.
Winners, Kavach-2023
SIH-2024 Winners (Team Sankalp)
Projects { C: Completed; OG: On-Going; S:Started }
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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 [C] (Submitted in NTIRE-2025)
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Activity based video summary preparation system [OG]
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Manas: A human cognitive behavior analysis [C]
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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]
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
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|
Reviewing Service
- 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
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]
3. Design of Generalizable Vision Transformer [Cost: 2200000]
Research Area
- Innovation in Unlearning
- 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 problems to build self-resilient Indian AI Ecosystem, but not limited to above problems.
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
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