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Dr. Anshul

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Dr. Anshul

Assistant Professor

Email: anshul@iiitm.ac.in

Address:

A-Block, Room No. 215, ABV-IIITM, Morena Link Road, Gwalior-474015 (M.P.)

Dr. Anshul

Biography

Dr. Anshul is an Assistant Professor in the Department of Information Technology, ABV-IIITM Gwalior (MP). He has earned his PhD in Computer Science & Engineering from the Indian Institute of Technology (B.H.U.) Varanasi in 2021 and M. Tech. in Computer Science & Engineering from Zakir Hussain College of Engineering & Technology, Aligarh Muslim University, Aligarh. Before joining ABV-IIITM, he worked at different institutes, including NIT Patna, LNMIIT Jaipur, and Bennett University, Greater Noida. He has published many research articles in reputed Journals and Conferences, including IEEE Transactions of Instrumentation & Measurement, IEEE Internet of Things, IEEE Journal of Biomedical and Health Informatics, ICONIP 2022, IJCNN 2025, and FUZZ-IEEE 2025. His broad teaching & research interests lie in the field of Data science & Machine learning, specifically Time series classification, Time series forecasting, Early classification of Time series, and Medical Imaging. He received the best paper award at the international conference MIND 2024, Goa. Dr. Anshul is serving as a reviewer of IEEE JBHI, IEEE Sensors, IEEE Transactions on Computational Social Systems, IEEE Transactions on Industrial Informatics, and Briefings in Bioinformatics. He also served as an Organizing Secretary in ISPDA 2024, and Session Chair and TPC Member in several conferences.  

Other Details

 

Number of PhD Students Graduated: Ongoing

Number of M. Tech. Graduated: Ongoing

Number of Publications: 10 (Journals), 6 (Conferences), 4 (Book Chapters), h-index: 9, i10 index: 6

Number of Patents: 02

Number of Projects: 01

Number of Keynote/Invited Talks Delivered: 08

Number of Committee Memberships: 02

Academic Qualifications

 

Degree

Year

Subject

University/Institution

PhD

2021

Computer Science and Engineering

Indian Institute of Technology (BHU) Varanasi, India

M. Tech.

2011

Computer Science and Engineering

Z.H.C.E.T., AMU Aligarh, India

B. Tech.

2009

Computer Science and Engineering

Uttar Pradesh Technical University, Lucknow/B.M.A.S. Engg. College Agra

Research Interests

 

AI/ML | Computer Vision

Selected Publications:

 

  1. A. Sharma, U. Varman, A. Kumar, A. K. Singh, and S. K. Singh. “ILAM: Cross-Fusion of Latent and Attention Features for Explainable Medical Image Classification”. In: IEEE Journal of Biomedical and Health Informatics (2025), pp. 1–11.
  2. N. Kumar, A. Sharma, A. Kumar, R. Singh, and S. K. Singh. “Cattle verification with YOLO and cross-attention encoder-based pairwise triplet loss”. In: Computers and Electronics in Agriculture 234 (2025), p. 110223. issn: 0168-1699.
  3. U. Varman, V. Bharti, A. Sharma, A. Kumar, and S. K. Singh. “When Explainability Meets Vision AI: Analyzing CNNs, Transformers, and State-Space Models in Healthcare”. In: 37th International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy. 2025.
  4. V. Gupta, V. Bharti, A. Kumar, A. Sharma, and S. K. Singh. “Enriching Pre-Training Using Fuzzy Logic”. In: 33rd IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2025), Reims France. 2025.
  5. M. Jayashankara, A. Sharma*, A. K. Singh, P. Chanak, and S. K. Singh. “A novel intelligent modeling and prediction of heat energy consumption in smart buildings”. In: Energy and Buildings 310 (2024), p. 114105.
  6. M. Jayashankara, P. Shah, A. Sharma, P. Chanak, and S. K. Singh. “A Novel Approach for Short-Term Energy Forecasting in Smart Buildings”. In: IEEE Sensors Journal 23.5 (2023), pp. 5307–5314.
  7. A. Kumar, A. Sharma*, V. Bharti, A. K. Singh, S. K. Singh, and S. Saxena. “Mobi-HisNet: A Lightweight CNN in Mobile Edge Computing for Histopathological Image Classification”. In: IEEE Internet of Things Journal 8.24 (2021), pp. 17778–17789.
  8. A. G. Nath, A. Sharma*, S. S. Udmale, and S. K. Singh. “An Early Classification Approach for Improving Structural Rotor Fault Diagnosis”. In: IEEE Transactions on Instrumentation and Measurement 70 (2021), pp. 1–13.
  9. A. Sharma, S. K. Singh, S. S. Udmale, A. K. Singh, and R. Singh. “Early transportation mode detection using smartphone sensing data”. In: IEEE Sensors Journal 21.14 (2021), pp. 15651–15659.
  10. A. Sharma and S. K. Singh. “Early classification of multivariate data by learning optimal decision rules”. In: Multimedia Tools and Applications (2020).

 

Competitive Grant(s)

 

Sl

Grant (Project/ Consultancy)

Funding Agency

PI/Co-PI

1

Intelligent Energy Monitoring Systems: A data-driven approach towards net-zero energy and smart buildings

FIG, ABV-IIITM

PI

Faculty Development / Management Development / Workshops / Conferences

 

SN

Title

Period

Sponsoring Organization

Venue

From

To

01

Faculty Development Program on "Deep Learning and Optimization for

Healthcare

Feb 24, 2025

March 04, 2025

E & ICT academy Patna.

 

National Institute of Technology

Patna

02

Third International Conference on Security, Privacy and Data Analytics

(ISPDA-2024)

Dec 13, 2024

Dec 17, 2024

Self-sponsored

Department of CSE, NIT Patna.

 

03

Short-Term Training Programme (STTP) on Security and Privacy

Trends in Internet of Things (IoT)

May 13, 2023

May 17, 2023

C3iHub IIT Kanpur

Department of CSE, NIT Patna.

 

04

Short-term course on Data Analytics and Predictive Technologies

July 05, 2021

July 10, 2021

I-DAPT Hub Foundation, IIT BHU

Dept. of CSE, IIT- BHU Varanasi.

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