Dr. Anurodh Kumar – Associate Professor | SR University

Dr. Anurodh Kumar

Dr. Anurodh Kumar

Associate Professor • Department of Computer Science & Artificial Intelligence

PhD from

IIITDM Jabalpur

Years of Experience

8 Years

Web Pages

Contact Details

anurodh.kumar@sru.edu.in

Availability

A robust academic background and extensive research experience, specializing in Biomedical Image and Signals Processing, Machine Learning, and Deep Learning. Ph.D. (Thesis title: “Deep Learning Approaches for Colorectal Tissue Classification using Histopathological Images”) with a CGPA of 9.5 from IIITDM Jabalpur, complemented by an M.Tech in Digital Communication and a B.E in Electronics & Communication Engineering. Proven track record of publishing high-impact research in top-tier peer-reviewed journals and presenting at international conferences. Skilled in Python, MATLAB, Ltspice, and Pspice, with a history of practical teaching experience and a passion for advancing technological applications in healthcare and signal processing. Qualified for UGC NET and GATE, demonstrating a solid foundation in electronic science education and research. Effective team player and fast learner with a dedication to continuous learning and professional development.

Interests

Machine Learning Deep Learning Signals and Image Processing Artificial Intelligence Signals and Systems Reinforcement Learning

Research Areas

Biomedical Image and Signals Processing Machine Learning Deep Learning Computer Vision

Student Supervision

Ph.D. 15 ongoing, M.Tech: 1, B.Tech projects: 16

• Ph.D. (ECE)

2024

IIITDM Jabalpur

M.Tech (Digital Communication)

2014

RGPV University, Bhopal

B.E (ECE)

2010

RGPV University, Bhopal

Associate Professor

01-07-2026 to Cont...

SR University

Assistant Professor

06-02-2025 to 30-06-2026

SR University

Assistant Professor

02-01-2014 to 31-05-2019

SISTec-R Bhopal

Lecturer

02-08-2010 to 30-06-2011

RKDFCTR Bhopal

→ Artificial Intelligence
→ Machine Learning
→ Deep Learning
→ Image Processing
→ Reinforcement Learning
→ Signals and Systems

Key Publications

1. A Kumar, A Vishwakarma, and V Bajaj, ``Crccn-net: Automated framework for classification of colorectal tissue using histopathological images." Biomedical Signal Processing and Control, vol. 79, p. 104172, 2023, doi: 10.1016/j.bspc.2022.104172.
2. A Kumar, A Vishwakarma, and V Bajaj, ``Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking." Multimedia Tools and Applications, vol. 83, Feb. 2024, doi:10.1007/s11042-024-18357-y.
3. A Kumar, A Vishwakarma, and V Bajaj, ``A unique hybrid domain hand-crafted feature to classify colorectal tissue histopathological images using multiheaded CNN." Turkish Journal of Electrical Engineering and Computer Sciences, vol. 31, no. 6, pp. 992-1005, Oct. 2023, doi: 10.55730/1300-0632.4030
4. A Kumar, A Vishwakarma, V Bajaj and S Mishra, ``Novel mixed domain hand-crafted features for skin disease recognition using multiheaded CNN." IEEE Transactions on Instrumentation and Measurement, vol. 73, doi: 10.1109/TIM.2024.3370772
5. A Kumar, A Vishwakarma, and V Bajaj, ``ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images." Computer Methods and Programs in Biomedicine, vol. 251, June 2024, 108207, doi.org/10.1016/j.cmpb.2024.108207
6. A Kumar, A Vishwakarma, and V Bajaj, ``Classification of colorectal tissue histopathological images using amalgamated hand-crafted features." Engineering Applications of Artificial Intelligence, vol. 170, April 2026, doi.org/10.1016/j.engappai.2026.114222
1. A Kumar, A Vishwakarma, and V Bajaj, ``Automatic identification of finger movements for industrial robotic applications using electromyogram signals." Advanced Signal Processing for Industry 4.0, IOP Publishing, vol. 1, Pages 12-1 to 12-19, 2023.

Research Projects/Patents

A system for classifying a colorectal tissue and method of operation thereof

Patent

July 2025

Attention enhanced Inceptionnext-based hybrid deep learning model for lung cancer detection

Patent

May 2025

Dual-head cross attention fusion-based iterative dense RNN architecture for multimodal lung cancer detection with feedback enabled optimization

Patent

May 2025

Adaptive neural framework for low-power stroke prediction and cognitive state assessment in connected health systems

Patent

June 2025

An Explainability-Enhanced Deep Neural Network Framework for Early Diagnosis of Diabetes and Retinal Complications

Patent

September 2025

An Adaptive Hybrid Model for Efficient Feature Extraction and Multi-Class Skin Disease Classification Using Pretrained CNN and Ensemble Learning Approaches

Patent

October 2025

A Cross-Modality Attention-Guided Deep Learning System for Early Cardiovascular Disease Prediction Using Synchronized ECG-PCG Signal Fusion

Patent

November 2025

Awards & Achievements

1

UGC-NET

Qualified (Electronics Science)

2014

2

GATE

Qualified

2011