Dr. Jitendra Kumar
Assistant Professor (Gr-1)
Google Scholar: https://scholar.google.com/citations?user=-fEn1ToAAAAJ
Scopus: https://www.scopus.com/authid/detail.uri?authorId=7201862589
ORCID: https://orcid.org/00000-0002-2938-6432
Vidwan: https://vidwan.inflibnet.ac.in/profile/149427
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U. G |
Machine Learning |
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Neural Networks |
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Computer Architecture |
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Python Programming |
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P. G |
Computer Architecture |
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Artificial Intelligence & Neural Networks |
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Computer Networks |
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Cloud Computing |
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Big Data Analytics |
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Object Oriented Analysis & Design |
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Data Structure |
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Organization |
Start Date |
End Date |
Designation |
Nature of Work |
| Maulana Azad National Institute of Technology Bhopal, India | 01/05/2024 | -- | Assistant Professor (Gr-I) | Teaching, Research, Administration |
| National Institute of Technology Tiruchirappalli, India | 28/05/2020 | 30/04/2024 | Assistant Professor (Grade-II) | Teaching, Research, Administration |
| GLA University Mathura, India | 15/07/2019 | 09/05/2020 | Assistant Professor | Teaching and Research |
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Name of the Student |
Topic |
Year of Award |
Co-Supervisor (if any) |
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*Raseena T.P. |
Improving Performance in Colorectal Polyp Classification using Efficient Deep Learning Approaches |
2025 |
Prof. S.R. Balasundaram (Supervisor) |
| Rimsha Alam | Healthcare (Multiomics data analysis using Machine Learning) | Ongoing | Prof. Usha Chouhan (Supervisor) |
| Rohit Roushan Raj | Cloud Resource Management | Ongoing |
Dr. S. Devidas |
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Title |
Sponsoring Agency |
Duration |
Amount |
Co-PI (if any) |
| Forecasting and Management of Cloud Workloads using Quantum Evolutionary Algorithms |
National Institute of Technology Tiruchirappalli, India (Seed Grant) |
2021-2023 | 500,000 (₹) | NA |
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Title |
Sponsoring Agency |
Duration |
Amount |
Co-Investigator (if any) |
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Authors |
Title |
Journal |
VOL. NO., PAGE NO |
YEAR |
SCI/ Scopus |
IMPACT FACTOR |
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Jitendra Kumar, Deepika Saxena, Kishu Gupta, Satyam Kumar, Ashutosh Kumar Singh |
A Comprehensively Adaptive Architectural Optimization Ingrained Quantum Neural Network Model for Cloud Workloads Prediction |
IEEE Transactions on Neural Networks and Learning Systems |
1-15 |
2025 |
SCI |
8.9 |
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Deepika Saxena, Niharika Singh, Kishu Gupta, Abhishek Verma, Vinaytosh Mishra, Jatinder Kumar, Ishu Gupta, Sakshi Chhabara, Rishabh Gupta, Jatinder Kumar, Ashutosh Kumar Singh |
An Intelligent Multi-Depot Vehicle Routing and Management Model for Smart Cities |
IEEE Transactions on Intelligent Transportation Systems |
26 (7740-7754) |
2025 |
SCI |
8.4 |
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Jitendra Kumar, Deepika Saxena, Jatinder Kumar, Abhilash Bhadoria, Anjali, Ashutosh Kumar Singh |
A hybrid neural network and cooperative PSO model for dynamic cloud workloads prediction |
Computing |
107 (72) |
2025 |
SCI |
3.2 |
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Sushanshu Saurav, Jitendra Kumar |
Exploring the effectiveness of machine learning models on livestock behavior classification using 9-axial inertial sensor |
Evolutionary Intelligence |
18 (90) |
2025 |
Scopus |
2.6 |
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A.Anjali, Vrijendra Singh, Jitendra Kumar |
GSSX: golden-section-based symbolic representation for reducing time series dimensionality |
International Journal of Data Science and |
NA |
2025 |
Scopus |
2.8 |
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Sakshi Chhabara, Jitendra Kumar, Deepika Saxena, Ashutosh Kumar Singh |
Classified Dynamic Hierarchical Load Balancer for Cloud Data Centers |
SN Computer Science |
6 (218) |
2025 |
Scopus |
NA |
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Jatinder Kumar, Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Athanasios V. Vasilakos |
An Adaptive Evolutionary Neural Network Model for Load Management in Smart Grid Environment |
IEEE Transactions on Network and Service Management |
22 (242-254) |
2024 |
SCI |
5.4 |
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Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh |
An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management |
IEEE Transactions on Automation Science and Engineering |
22 (6884-6895) |
2024 |
SCI |
6.4 |
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Raseena T.P., Jitendra Kumar, Balasundaram S. R |
DeepCPD: deep learning with vision transformer for colorectal polyp detection |
Multimedia Tools & Applications |
83 (78183-78206) |
2024 |
SCI |
5.19 |
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Raseena T.P., Jitendra Kumar, Balasundaram S. R |
Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights |
SN Computer Science |
5 (452) |
2024 |
Scopus |
NA |
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Anjali, Hong-Nig Dai, Jitendra Kumar, Om Jee Pandey |
AERed: An Autoencoder–Decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition |
IEEE Sensors Journal |
23 (29804-29814) |
2023 |
SCI |
4.5 |
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Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Stefan Schmid |
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud |
IEEE Transactions on Parallel and Distributed Systems |
34 (1313-1330) |
2023 |
SCI |
6 |
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Niharika Singh, Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan |
Privacy-preserving multi-keyword hybrid search over encrypted data in cloud |
Journal of Ambient Intelligence |
15 (261-274) |
2024 |
SCI |
5.09 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment |
Applied Soft Computing |
113 (107895) |
2021 |
SCI |
6.6 |
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Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen |
A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center |
IEEE Systems Journal |
16 (3163-3174) |
2022 |
SCI |
4.4 |
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Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, Vrinda Gupta |
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads |
IEEE Transactions on Parallel and Distributed Systems |
32 (2893-2905) |
2021 |
SCI |
6 |
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Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya |
Self directed learning based workload forecasting model for cloud resource management |
Information Sciences |
543 (345-366) |
2021 |
SCI |
6.8 |
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Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya |
Ensemble learning based predictive framework for virtual machine resource request prediction |
Neurocomputing |
397 (20-30) |
2020 |
SCI |
6.5 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Decomposition based cloud resource demand prediction using extreme learning machines |
Journal of Network and Systems Management |
28 (1775-1793) |
2020 |
SCI |
3.9 |
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Jitendra Kumar, Deepika Saxena, Ashutosh Kumar Singh, Anand Mohan |
BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting |
Soft Computing |
24 (14593-14610) |
2020 |
SCI |
2.5 |
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Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan |
Resource-efficient load-balancing framework for cloud data center networks |
ETRI Journal |
43 (53-63) |
2021 |
SCI |
1.6 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Cloud datacenter workload estimation using error preventive time series forecasting models |
Cluster Computing |
23 (1363-1379) |
2020 |
SCI |
4.1 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Performance assessment of time series forecasting models for cloud datacenters’ workload prediction |
Wireless Personal Communications |
116 (1949-1969) |
2021 |
SCI |
2.2 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Adaptive learning based prediction framework for cloud datacenter networks’ workload anticipation |
Journal of Information Science and |
36 (981-992) |
2020 |
SCI |
1.27 |
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Ashutosh Kumar Singh, Jitendra Kumar |
Secure and energy aware load balancing framework for cloud data centre networks |
Electronics Letters |
55 (540-541) |
2019 |
SCI |
0.8 |
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Jitendra Kumar, Ashutosh Kumar Singh |
An efficient machine learning approach for virtual machine resource demand prediction |
International Journal of Advanced Science and Technology |
123 (21-30) |
2019 |
Scopus |
1.68 |
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Jitendra Kumar, Ashutosh Kumar Singh |
Workload prediction in cloud using artificial neural network and adaptive differential evolution |
Future Generation Computer Systems |
81 (41-52) |
2019 |
SCI |
6.1 |
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Title |
Year |
Agency |
Co-Investigator(if any) |
Published/Granted |
