Vijay Kumar

Vijay Kumar is Assistant Professor in Computer Science and Engineering Department, NIT Hamirpur. He received his Ph.D. degree from NIT Kuruksherta. Previously, he received M.Tech. and B.Tech. degrees from GJUS&T, Hisar and M.M. Engineering College, Mullana, respectively. He has 4 years of teaching and research experience in the Thapar Institute of Engineering & Technology, Patiala. Prior, he has 8 years of teaching experience in various reputed institutes. He completed 2 DST SERB sponsored research projects. Presently, he is working on 1 CSIR sponsored research project. He has published more than 100 research papers in International Journals/Conferences. He has many book chapters in international repute publishers. He has supervised many Ph.D. and M.Tech. thesis on Metaheuristics, Image Mining, and Data Clustering. He has been listed among World’s Top 2% Scientists (2021 and 2022). He is the reviewer of several reputed SCI journals. He is member of ACM, CSI, International Association of Engineers, International Association of Computer Science and Information Technology, Singapore. His current research area is Soft Computing, Data Mining, Deep Learning, Steganography, and Pattern Recognition.

Publications

Enhancing Steganography Through Deep Learning Approaches
Enhancing Steganography Through Deep Learning Approaches
Vijay Kumar, Chiranji Lal Chowdhary, Shakila Basheer, Srinath Doss, Sandeep Singh Sengar. © 2025. 300 pages.
In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods...
Comparative Analysis of Machine Learning-Based Diabetes Prediction Approaches
Comparative Analysis of Machine Learning-Based Diabetes Prediction Approaches
Harsh Vardhan, Vijay Kumar. © 2024. 11 pages.
The early prediction of diabetes mellitus may help improve the health of patients and cure them of this disease. In recent years, machine learning techniques have been widely...
Investigations in Pattern Recognition and Computer Vision for Industry 4.0
Investigations in Pattern Recognition and Computer Vision for Industry 4.0
Chiranji Lal Chowdhary, Basanta Kumar Swain, Vijay Kumar. © 2023. 276 pages.
The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data...
Latest Trends in Deep Learning Techniques for Image Steganography
Latest Trends in Deep Learning Techniques for Image Steganography
Vijay Kumar, Sahil Sharma, Chandan Kumar, Aditya Kumar Sahu. © 2023. 14 pages.
The development of deep convolutional neural networks has been largely responsible for the significant strides forward made in steganography over the past decade. In the field of...
Automatic Pain Detection Through Facial Expression
Automatic Pain Detection Through Facial Expression
Vijay Kumar, Pratyksh Dhapola, Avadh Naresh Kushwaha. © 2023. 9 pages.
It is challenging to assess pain using self-report measures. However, the patient-given level is not always trustworthy and valid in very unwell individuals, particularly those...
Image-to-Image Steganography Using Encoder-Decoder Network
Image-to-Image Steganography Using Encoder-Decoder Network
Vijay Kumar, Ashish Choudhary, Harsh Vardhan. © 2022. 12 pages.
In this paper, a convolution neural network is utilized for image-to-image steganography using encoder decoder architecture. A new loss function is designed to improve the...
Distracted Driver Detection System Using Deep Learning Technique
Distracted Driver Detection System Using Deep Learning Technique
Varan Singh Rohila, Vijay Kumar, Karan Kumar Barnwal. © 2021. 11 pages.
Improvement of public safety and reducing accidents are the intelligent system's critical goals for detecting drivers' fatigue and distracted behavior during the driving...
Transfer Learning in 2.5D Face Image for Occlusion Presence and Gender Classification
Transfer Learning in 2.5D Face Image for Occlusion Presence and Gender Classification
Sahil Sharma, Vijay Kumar. © 2019. 17 pages.
Face depth image has been used for occlusion presence and gender prediction by transfer learning. This chapter discusses about the overfitting problem and how augmentation helps...