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Dr. Sunil Kumar

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Dr. Sunil Kumar

Assistant Professor

Email: snk@iiitm.ac.in

Experience: 5 years of Teaching Experience

Address:

A Block -108, ABV-IIITM, Morena Link Road, Gwalior-474015 (M.P.)

Personal Web Page: https://www.iiitm.ac.in/0000-0002-9868-7925

Dr. Sunil Kumar

Biography

Dr. Sunil Kumar is currently working as an Assistant Professor in the Department of Information Technology, Atal Bihari Vajpayee - Indian Institute of Information Technology & Management Gwalior. Prior to this, he was associated with Thapar Institute of Engineering and Technology, Patiala, as a Visiting Assistant Professor.

He completed his Ph.D. from the Indian Institute of Technology (IIT) Guwahati in the area of Image processing and Computer Vision in 2017. More specifically, his thesis work is on recognizing facial expressions from multi-view/arbitrary face images. He did his M.Tech from NIT Rourkela in the year of 2012. His research interest includes Signal and Image processing, Computer Vision, Pattern Recognition, Soft Computing, and Artificial intelligence. Currently, Dr. Kumar is working on developing an autonomous system for interpreting Indian Sign Language.  Interested ones can contact me or send me an email at snk@iiitm.ac.in

INDUSTRIAL VISIT:

1.)  Semi-conductor laboratory (SCL), Govt. of India, Mohali

2.)  Radiocraft Pvt. Ltd

3.)  TinyMesh Pvt Ltd., and EME Technology, Mohali. 

Other Details

 

Number of PhD Students Graduated: 01

Number of M. Tech. Graduated: 21

Number of Publications: 10 (Journals),13 (Conferences), h-index: 09, i10 index: 07

Number of Projects: 04

Number of Committee Memberships: 1

Academic Qualifications

 

Degree

Year

Subject

University/ Institution

PhD

2017

Signal and Image Processing

IIT Guwahati

M.E./M. Tech.

2012

Electronics Systems & Communication

NIT Rourkela

B.E./B. Tech.

2010

Electronics & Communication Engineering

DIATM, Durgapur/ WBUT

Research Interest

 

Biomedical Image Processing, Deepfake Detection, Deep Learning.

Selected Publications

Shaheen Usmani, Sunil Kumar, and Debanjan Sadhya. "Spatio-temporal knowledge distilled video vision transformer (STKD-VViT) for multimodal deepfake detection." Neurocomputing 620 (2025): 129256.

  1. Punn, N.S., Kumar, S. CTAUNet: Improved retinal blood vessel segmentation with collaborative transformer attention U-Net. Neural Comput & Applic 37, 15705–15718 (2025). 
  2. Shaheen Usmani, Sunil Kumar, Debanjan Sadhya, Enhancing Generalization Ability in Deepfake Detection via Continual Learning, Fifteenth Indian Conference on Computer Vision Graphics and Image Processing. 2024.
  3. Rajpopat, Subodh, Sunil Kumar, and Narinder Singh Punn. "Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model." The Journal of Supercomputing 81.1 (2025): 106.
  4. Usmani, Shaheen, Sunil Kumar, and Debanjan Sadhya. "Efficient deepfake detection using shallow vision transformer." Multimedia Tools and Applications 83.4 (2024): 12339-12362.
  5. Chakrapani, Kumar, S. Semantic segmentation of brain tumor images using attention-based residual light u-net model. Multimed Tools Appl 84, 7425–7441 (2025).
  6. S. Rajpopat, A. K. Padhi and S. Kumar, "An Efficient Correlated Gamma Wave-Based Lightweight Model for Schizophrenia Detection," 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023, pp. 1-6
  7. Kumar, Sunil, Manas Kamal Bhuyan, and Yuji Iwahori. "Multi-level uncorrelated discriminative shared Gaussian process for multi-view facial expression recognition." The Visual Computer 37.1 (2021): 143-159.
  8. Tewari, Saksham, et al. "Ensemble model for COVID-19 detection from chest X-ray scans using image segmentation, fuzzy color and stacking approaches." 2020 IEEE 4th Conference on Information & Communication Technology (CICT). IEEE, 2020.
  9. D. Singh, M. Kumar, K. V. Arya and S. Kumar, "Aircraft Engine Reliability Analysis using Machine Learning Algorithms," 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), RUPNAGAR, India, 2020, pp. 443-448

Research Lab(s)

 

Computer Vision and Multimedia Lab

Competitive Grant(s)

 

Sl

Grant (Project/ Consultancy)

Funding Agency

PI/Co-PI

1.

Development of Mobile-based CBC Analyser for Low Infrastructure Hospitals

TIIC, ABV-IIITM Gwalior.

PI

2.

Relevance of clinical evidence data for determining insurance premium and coverage

TIH, IIT Bhilai.

Co-PI

2

Development of IoT Based Smart Isolation/Quarantine Centre to Combat COVID-19

TIIC, ABV-IIITM Gwalior.

Co-PI

4

“Development of AI/ML modules in ARISTO platform for chemotherapy automation process”

MIDAS Heath Care

Co-PI

Faculty Development / Management Development / Workshops / Conferences

 

SN

Title

Period

Sponsoring Organization

Venue

From

To

1

Machine Learning for Social Good Workshop

02.04.2025

09.04.2025

EICT Academy, IIITDM Jabalpur

ABV-IIITM Gwalior

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