Dr. Nishant Kumar
Assistant Professor
Department of Computer Science and Engineering
Gurukula Kangri (Deemed to be University), Haridwar, India
About
Overview
I’m an educator, researcher, and lifelong learner passionate about making technology meaningful and accessible. My work lives at the intersection of computer science and education, where I help students unlock the power of problem-solving through programming—especially in C—and translate complex AI concepts into intuitive, self-paced learning experiences.
My research focuses on deep learning, with a current emphasis on personalized recommendation systems and reinforcement learning. I’m exploring hybrid models that bridge multiple domains, aiming to improve how we understand user behavior across platforms. Whether it’s LSTMs, GANs, or autoencoders, I thrive on bringing theoretical models to real-world relevance.
Research Areas
Artificial Intelligence, Cloud Computing, Machine Learning
Qualifications
Ph.D.
Research Papers
17 entries
1
SAFPRS: Novel framework of sentiment analysis for lifestyle product recommendation
International Journal of Mathematical, Engineering and Management Sciences
DOI: https://doi.org/10.33889/IJMEMS.2025.10.6.103 • ISSN: 2455-7749
2
A Comprehensive Review of Product Recommendation Systems using Deeplearning Techniques
Knowledge and Information Systems
DOI: https://doi.org/10.1007/s10115-025-02667-0 • ISSN: 0219-3116
3
A deep transfer learning-based approaches for the detection and classification of acute lymphocytic leukemia using microscopic images
Multimedia Tools and Applications
4
Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation
Systems and Soft Computing
DOI: https://doi.org/10.1016/j.sasc.2024.200112 • ISSN: 2772-9419
5
Exploring the Role and Relevance of Artificial Intelligence in the Vedas: A Contemporary Analysis
Vedic Vag Jyoti
ISSN: 2277-4351
6
A Review of Deep Learning‑Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Archives of Computational Methods in Engineering
DOI: https://doi.org/10.1007/s11831-023-09936-7 • ISSN: 1134-3060
7
Scheduling of Tasks (CLOUDLETS) in Hetrogeneous Processing Cloud Environment
International Journal on Emerging Technologies
ISSN: 0975-8364
8
Energy Efficient Host Overloading Detection Algorithm in Cloud Computing
Int. J. Comput. Sci. Eng.
9
Energy Efficient DVFS with VM Migration
Eur. J. Adv. Eng. Technol.
10
An Application Deployment to Openshift Cloud
International Journal of Engineering and Computer Science
ISSN: 2319-7242
11
A Comparative Analysis of Scheduling Algorithms affecting QoS in Cloud Computing Environment
Int. J. Comput. Sci. Netw.
12
Virtualization: Technology Helping Environment
ESSENCE – Int. J. Environ. Rehabil. Conserv
13
Virtualization : A Concept Implementation for Cloud
Int. J. Eng. Tech. Res.
14
Review of Research Issues in Cloud Computing
Int. J. Appl. Eng. Res.
15
स्वामी श्रद्धानंद और गुरुकुल को जन्म देने वाली परिस्थितियां
Gurukul Shodh Bharti
16
कंप्यूटर साइंस और सकारात्मक चिंतन
Gurukul Shodh Bharti
17
Artificial Neural Network Applications In Air Quality Monitoring and Management
Int. J. Environ. Rehabilatation Conserv
Conference Papers
1 entries
1
Explainable AI Framework for Advertisement Recommendation Using SHAP and TabNet
International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
Book Chapters
1 entries
1
DeepFM-Driven Personalized Recommendations for Children: Tackling Data Sparsity with Negative Sampling
Advances in Mathematics for Engineering Sciences
ISBN: 978-3-031-95692-8
Patents
1 entries
1
WIRELESS CHARGING DEVICE WITH BUILT-IN POWER BACKUP
Invited Lectures
1 entries
1
Cloud Computing and AI
GK(DU)