faculty-profile

Dr. Anurodh Kumar

info

Assistant Professor

CS & AI

IIITDM Jabalpur

6 Years

web-pages

Signal Processing, AI, ML, DL

Biomedical Signals and Image Processing, ML, DL

Mail: anurodh.kumar@sru.edu.in

Educational
Qualifications
(From Highest)

2024

Ph.D (ECE), IIITDM Jabalpur

2014

M.Tech (Digital Communication), RGPV Bhopal

2010

B.E (ECE), RGPV Bhopal

Professional
Experience

2025

Assistant Professor at , from 2025-02-06 to Till Date.

2014

Assistant Professor (ECE) at SISTec-R Bhopal, from 2014-01-02 to 2019-05-31.

2010

Lecturer (ECE) at RKDFCTR Bhopal, from 2010-08-02 to 2011-06-30.

Student
Supervision

16

UG

Key Publications

A Kumar, R Thakur, and L Jain, ``Image compression using CDF5/3 wavelet transform coupled with bit plane algorithm." International Journals of Computer Applications, vol. 104, No. 8, p. 0975-8887, Oct. 2014.

A Kumar, A Vishwakarma, V Bajaj, A Sharma, and C Thakur, ``Colon cancer classification of histopathological images using data augmentation." in 2021 International Conference on Control, Automation, Power and Signal Processing (CAPS), IEEE, doi: 10.1109/CAPS52117.2021.9730704

S Vishwkarama, A Kumar, and A Vishwkarama, ``Torque estimation of permanent magnet synchronous motor (PMSM) using 1D convolutional neural network." 2022 IEEE 6th Conference on Information and Communication Technology (CICT), IEEE doi: 10.1109/CICT56698.2022.9997927

A Kumar, A Vishwakarma, and, V Bajaj, ``An efficient convolutional neural network for classification of multi-class colorectal tissue using histopathological images." 2022 IEEE 6th Conference on Information and Communication Technology (CICT), IEEE doi: 10.1109/CICT56698.2022.9997889.

A Kumar, A Vishwakarma, and, V Bajaj, ``Automatic classification of multi-class skin lesions dermoscopy images using an efficient convolutional neural network." 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), doi: 10.1109/SCEECS57921.2023.10062981.

A Kumar, A Vishwakarma, and, V Bajaj, `` Classification of skin disease dermoscopy images utilizing multi-headed CNN." 2023 7th Conference on Computer Applications in Electrical Engineering Recent Advances doi: 10.1109/CERA59325.2023.10455201. IEEE (CERA)

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.

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.

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.

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.

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

Research Projects / Patents

Project
1. A Kumar, A Vishwakarma, and V Bajaj, `` A system for classifying a colorectal tissue and method of operation thereof " IN (Filed)

A method for classifying colorectal tissue using histopathological images (HIS). The method is capturing the images of colorectal tissues and then implementing a non-local mean (NLM) filter configured to de-noise the HIS. The NLM is eliminating the noise while maintaining the high-frequency details such as edges, corners, and textures of HIS.

Awards and Honors / Achievements

award

UGC NET (Assistant Professor) Qualified

award

GATE Qualified

Books

Automatic identification of finger movements for industrial robotic applications using electromyogram signals

A Kumar, A Vishwakarma, and V Bajaj

Advanced Signal Processing for Industry 4.0, IOP Publishing