Shikhar Vashistha, and Neetesh Kumar, “AgenticOTA: An Agentic AI Pipeline for Context-Aware Over-the-Air Update Deployments in Connected Autonomous Vehicles”, IEEE Transactions on Services Computing, Accepted, June 2026. [SCI, Q1, IF: 6.2]

U. Kumar, I. M. Varma, A. K. Sahoo, A. Azeem, A. Palkar, N. Prajapati, and N. Kumar, “A Secure and Post-Quantum-Resilient OTA Software Update Framework for Industrial Autonomous Vehicles”, IEEE Transactions on Industrial Informatics, Accepted, Aug 2026. [SCI, Q1, IF: 9.8]

Nisha Singh Chauhan, and Neetesh Kumar, “Recent Advancements in Traffic Flow Prediction: Review, Challenges and Future Research Directions”, ACM Transactions on Intelligent Systems and Technology. [Status: Accepted, Aug 2026] [SCI, Q1, IF: 10.7]

Vibha Bharilya, and Neetesh Kumar, “Lane-Driven and Goal-Focused Refinement Transformer for Multimodal Trajectory Prediction”, Elsevier, Information Fusion. [SCI, Q1, IF: 17.4] [Status: Accepted, July 2026]

Vijay Prakash Bijwan and Neetesh Kumar, “Deep Reinforcement Learning in Software Defined Networking: A Survey, Research Challenges and Future Perspectives”, IEEE Communications Surveys and Tutorials, Accepted on 12 JAN 2026. [SCI, Q1, IF: 46.7]

Shikhar Singh Lodhi, Ranjan Raj Sah, Neetesh Kumar, Pradumn Kumar Pandey, “A Novel Option Policy driven Hierarchical Deep Reinforcement Learning for Autonomous Vehicle Overtaking Maneuver”, IEEE Transactions on Vehicular Technology, Accepted 28-10-2025. [SCI, Q1, IF:7.1]

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, “Semi-Markov Options enabled DDPG Method for Autonomous Vehicle Overtaking with LiDAR and RADAR fusion”, IEEE Transactions on Mobile Computing. [SCI, Q1, IF: 9.2] [Status: Sep 23 2025]

I. Mani Varma, and Neetesh Kumar, “Blockchain-based SDN-enabled Lightweight Authentication Protocol for IoV using zk-SNARK”, IEEE Transactions on Network and Service Management. [Status: Accepted, Sep, 2025] [SCI, Q1, IF: 5.4]

Nisha Singh Chauhan, Neetesh Kumar, ”Exploring Spatial-Temporal Correlations with Dual Stream Conv-GRU and Fuzzy-Inspired Attention Mechanism for Traffic Flow Prediction”, IEEE Transactions on Computational Social Systems. [Status: Accepted, 1 Sept 2025] [SCI, Q1, IF: 4.9]

Shikhar, Vashistha, Neetesh Kumar, ”Selective State-Focused Graph Attention Networks for Multihorizon Traffic Forecasting”, IEEE Transactions on Computational Social Systems. [Status: Accepted, 1 Sept 2025] [SCI, Q1, IF: 4.9]

Nisha Singh Chauhan, Ashok Arora, Neetesh Kumar, ”STLTEformer: Spatio-Temporal Long-Term Embedding Transformer for Traffic Flow Prediction”, IEEE Transactions on Computational Social Systems. [Status: Accepted, 26 June 2025] [SCI, Q1, IF: 4.9]

I. Mani Varma, Neetesh Kumar, and Novella Bartolini, A Polynomial Commitment-driven Zero-knowledge Proof-based Authentication of Autonomous Vehicles in Multi-RSU Broadcast Domains, IEEE Transactions on Consumer Electronics. [Status: Accepted, 2025] [SCI, Q1, IF: 10.5]

Ashok Arora, Neetesh Kumar, Pramod Kumar Singh, ”Multi-Agent Deep Reinforcement Learning for Emergency Vehicles Waiting Time Optimization through Partial Information Sharing”, ACM Transactions on Cyber Physical Systems. [Status: Accepted with minor revision, 2025] [SCI, Q1, IF: 2.3]

Vibha Bharilya, Ashok Arora, and Neetesh Kumar, Self-Supervised Transformer for Trajectory Prediction using Noise Imputed Past Trajectory, IEEE Transactions on Intelligent Transportation Systems. [SCI, Q1, IF: 8.5] [Status: Accepted with Minor Revision on 31 Jan 2025]

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, ”Dynamic Option Policy enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver”, IEEE Transactions on Intelligent Transportation Systems. [SCI, Q1, IF: 8.5] [Status: Accepted 26 JAN 2025]

Neetesh Kumar, Navjot Singh, Anuj Sachan, Rashmi Chaudhry, ”SIoV Mobility Management using SDVN-enabled Traffic Light Corporative Framework”, ACM Transactions on Cyber Physical Systems. [Status: Accepted, 2024] [SCI, Q1, IF: 2.3]
DOI: 10.1145/3653721

Anuj Sachan, Neetesh Kumar, ”SDVN enabled traffic light cooperative framework for E-SIoV mobility in a smart city scenario”, IEEE Transactions on Vehicular Technology. [Status: Accepted, 2024] [SCI, Q1, IF: 6.8]
DOI: 10.1109/TVT.2024.3376555

Anuj Sachan, Neetesh Kumar, ”SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion”, ACM Transactions on Internet Technology. [Status: Accepted, 2024] [SCI, Q1, IF: 5.3]
DOI: 10.1145/3641104

Nisha Singh Chauhan, Neetesh Kumar, E. Azim, ”A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction”, IEEE Transactions on Intelligent Transportation Systems. [Status: Accepted, 2024] [SCI, Q1, IF: 8.5]
DOI: 10.1109/TITS.2024.3375890

Nisha Singh Chauhan, Neetesh Kumar, ”Novel Confined Attention Enabled Hierarchical Bi-LSTM and Bi-GRU Fusion: A Multi-scale Traffic Flow Prediction Application”, IEEE Transactions on Computational Social Systems. [Status: Accepted, 2024] [SCI, Q1, IF: 5]
DOI: 10.1109/TCSS.2024.3402735

Nisha Singh Chauhan, Neetesh Kumar, ”CAM-RNN: Confined Attention Mechanism enabled RNN Framework to Improve Traffic Flow Prediction”, Elsevier - Engineering Applications of AI. [Status: Accepted, 2024] [SCI, Q1, IF: 5]

Vibha Bharilya, and Neetesh Kumar. ”Machine learning for autonomous vehicle’s trajectory prediction: A comprehensive survey, challenges, and future research directions.”, Elsevier - Vehicular Communications, volume 42, 100733. [Status: Accepted, 2024] [SCI, Q1, IF: 6.7]
DOI: 10.1016/j.vehcom.2024.100733

Dinesh Soni, Neetesh Kumar, ”Fuzzy Logic-based Computation Offloading Technique in Fog Computing”, Willey, Concurrency and Computation: Practice and Experience. [Status: Accepted, 2024] [SCI, Q2, IF: 2.0]
DOI: 10.1002/cpe.8198

Pooja Mishra, W. Wilfred Godfrey, Neetesh Kumar, FGCF: Fault-aware Green Computing Framework in Software-Defined Social Internet of Vehicle, Journal of Supercomputing. [Status: Accepted, 2024] [SCI, Q2, IF: 3.3]
DOI: 10.1007/s11227-024-06116-7

Sanjay Patidar, Rajni Jindal, and Neetesh Kumar, ”A Secure and Energy-Efficient Edge computing Improved SZ 2.1 Hybrid Algorithm for Handling IoT Data Strea”, Multimedia Tools and Applications. [Status: Accepted, 2024] [SCI, Q1, IF: 3.6]
DOI: 10.1007/s11042-024-18765-0

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, ”Autonomous Vehicular Overtaking Maneuver: A Survey and Taxonomy”, Elsevier - Vehicular Communications, volume 42, 100623. [2023, Accepted] [SCI, Q1, IF: 6.7]
DOI: 10.1016/j.vehcom.2023.100623

I. Mani Varma, and Neetesh Kumar, A Comprehensive Survey on SDN and Blockchain-based Secure Vehicular Networks, Elsevier - Vehicular Communications, volume 44, 10063. [Status: Accepted, 2023] [SCI, Q1, IF: 6.7]
DOI: 10.1016/j.vehcom.2023.100663

Anuj Sachan, and Neetesh Kumar, “S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework”, Accepted in The Journal of Supercomputing, Springer, 2023. [SCI Q2, IF: 3.3]
DOI: 10.1007/s11227-023-05216-0

Navjot Singh, Paras, Om Shubham, Rituraj Awasthi, Anurag Bharti, and Neetesh Kumar, Improved YOLOv5l for Vehicle Detection: An application to Estimating Traffic Density and Identifying Over speeding Vehicles on Highway scenes, Multimedia Tools and Applications, volume=83, pages=5277–5307, 2023. [Status: Accepted, 2023] [SCI, Q1, IF: 3.6]
DOI: 10.1007/s11042-023-15520-9

Neetesh Kumar, Rashmi Chaudhry, O.P. Katwariya, N. Kumar, “ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario”, IEEE Transactions on Intelligent Transportation System. [Status: Accepted, 2022] (World’s Rank-1 in the Domain of ITS) [SCI, Q1, IF: 8.5]
DOI: 10.1109/TITS.2022.3147685

Anuj Sachan, Neetesh Kumar, ”SDN Control Enabled and Time-Quantum Driven Max-Pressure Approach for Intersection Management in Smart City”, in IEEE Systems Journal. [Status: Accepted, 2022] [SCI, Q1, IF: 4.4]
DOI: 10.1109/JSYST.2022.3211933

Dinesh Soni, Neetesh Kumar, ”Machine Learning Techniques in Emerging Cloud Computing Integrated Paradigms: A Survey and Taxonomy”, Journal of Network and Computer Applications. [Status: Accepted, 2022] [SCI, Q1, IF: 8.7]
DOI: 10.1016/j.jnca.2022.103419

Rajni Jindal, Neetesh Kumar, and Sanjay Patidar, ”IoT Streamed Data Handling Model using Delta Encoding”, in International Journal of Communication Systems, Wiley. [Status: Accepted, 2022] [SCI, Q2, IF: 2.1]
DOI: 10.1002/dac.5243

Dheeraj Jutury, Neetesh Kumar, Anuj Sachan, Yash Daultani and Naveen Dhakad, ”Adaptive Neuro-Fuzzy enabled Multi-mode Traffic Light Control System for Urban Transport Network”, in Applied Intelligence, Springer. [Status: Accepted, 2022] [SCI, Q2, IF: 5.3]
DOI: 10.1007/s10489-022-03827-3

Pooja Mishra, Neetesh Kumar, and W. W. Wilfred Godfrey, “An Evolutionary Computing based Energy-efficient Solution for IoT-enabled Software-Defined Sensor Network Architecture”, in International Journal of Communication Systems, Willey. [Status: Accepted, 2022] [SCI, Q2, IF: 2.1]
DOI: 10.1002/dac.5111

Neetesh Kumar, Sarthak Mittal, Vaibhav Garg, “Deep Reinforcement Learning based Traffic Light Scheduling Framework for SDN-enabled Smart Transportation System”, in IEEE Transactions on Intelligent Transportation System, 2021, (World’s Rank-1 in the Domain of ITS), vol. 3, 2411-2421, 2021. [SCI, Q1, IF: 8.5]
DOI: 10.1109/TITS.2021.3095161

Neetesh Kumar, S. Rahman, and Naveen Dhakad, “Fuzzy Inference Enabled Deep Reinforcement Learning based Traffic Light Control for Intelligent Transportation System”, in IEEE Transactions on Intelligent Transportation System, vol. 22, Issue: 8, 4919–4928, 2021, (World’s Rank-1 in the Domain of ITS). [SCI, Q1, IF: 8.5]
DOI: 10.1109/TITS.2020.2984033

Neetesh Kumar, Rashmi Chaudhry, O.P. Katwariya, “Green Communication in Software Defined Social Internet of Vehicles”, in IEEE Transactions on Intelligent Transportation System, vol. 22, no. 6, pp. 3644-3653, 2021, (World’s Rank-1 in the Domain of ITS). [SCI, Q1, IF: 8.5]
DOI: 10.1109/TITS.2020.3028695

Rashmi Chaudhry, Neetesh Kumar, “A Multi-Objective Meta-heuristic Solution for Green Computing in Software-Defined Wireless Sensors Network”, in IEEE Transactions on Green Communications and Networking. [Status: Accepted, 2021] [SCI, Q1, IF: 4.8]
DOI: 10.1109/TGCN.2021.3122078

Neetesh Kumar, Navjot Singh, and D.P. Vidyarthi, “Artificial Lizard Search Optimization”, in Soft Computing, Springer, vol. 25, 6179–6201, 2021. [SCI, Q2, IF: 4.4]
DOI: 10.1007/s00500-021-05606-7

Anubha Agrawal, Neetesh Kumar, D.P. Vidyarthi and Rajkumar Buyya, “Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework”, in Simulation Modelling Practice and Theory, Elsevier, vol. 109, page 102307, 2021. [SCI, Q1, IF: 4.2]
DOI: 10.1016/j.simpat.2021.102307

Neetesh Kumar, D.P. Vidhyarthi, “A Novel Energy Efficient Scheduler for Multi-Core Systems”, in Cluster Computing, Springer, 24, 643–666, 2021. [SCI, Q2, IF: 2.303]
DOI: 10.1007/s10586-020-03143-w

Neetesh Kumar, D.P. Vidhyarthi, “A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems”, in Journal of Sustainable Computing: Informatics and Systems, Elsevier, vol. 22, 107–119, (2019). [SCI, Q1, IF: 4.5]
DOI: 10.1016/j.suscom.2019.02.001

Neetesh Kumar, D.P. Vidhyarthi, “A Hybrid Heuristic for Load-Balanced Scheduling of Heterogeneous Workload on Heterogeneous Systems”, in Computer Journal Oxford Press, vol. 62, Issue 2, Pages 276–291, 2019. [SCI, Q2, IF: 1.4]
DOI: 10.1093/comjnl/bxy085

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar, “A Green Multicast Routing Algorithm for Smart Sensor Networks in Disaster Management”, in IEEE Transactions on Green Communications and Networking, vol. 3, Issue: 1, 215–226, 2019. [SCI, Q1, IF: 4.8]
DOI: 10.1109/TGCN.2019.2891752

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar, “FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks”, in Information Sciences, Elsevier, vol. 498, 1-20, 2019. [SCI, Q1, IF: 8.1]
DOI: 10.1016/j.ins.2019.05.002

Neetesh Kumar, D.P. Vidhyarthi, “A Green Routing Algorithm for IoT-enabled Software Defined Wireless Sensor Network”, in IEEE Sensors Journal, vol. 18, no. 22, 9449-9460, 2018. [SCI, Q1, IF: 4.3]
DOI: 10.1109/JSEN.2018.2869629

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar, “Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET”, in Applied Intelligence, Springer US, vol. 48, Issue: 9, 3053-3080, 2018. [SCI, Q2, IF: 5.3]
DOI: 10.1007/s10489-017-1127-5

Asif ali laghari, Hui He, Asiya, Neetesh Kumar, Kharel, Rupak, “QoC: Quality of Experience (QoE) Framework for Cloud Computing”, in IEEE Access, vol. 6, 64876-64890, 2018. [SCI, Q1, IF: 3.9]
DOI: 10.1109/ACCESS.2018.2865967

Neetesh Kumar, D.P. Vidhyarthi, “A GA based energy-aware scheduler for DVFS enabled multicore systems”, in Journal of Computing, Springer, vol. 99, Issue 10, 955-977, 2017. [SCI, Q2, IF: 2.5]
DOI: 10.1007/s00607-017-0540-2

Neetesh Kumar, D.P. Vidhyarthi, “An Energy-Aware Cost-Effective Scheduling Framework for Heterogeneous Cluster System”, in Elsevier, Future Generation Computer Systems, 71, 73–88, 2017. [SCI, Q1, IF: 7.5]
DOI: 10.1016/j.future.2017.01.015

Neetesh Kumar, D.P. Vidhyarthi, “Multiprocessors Scheduling of Directed Acyclic Graphs with Communication using Hybrid PSO-GA”, in Engineering with Computers, Springer, 32(1), 35-47, 2016. [SCI, Q1, IF: 8.7]
DOI: 10.1007/s00366-015-0396-z

Neetesh Kumar, D.P. Vidhyarthi, “A Model for Resource Constrained Project Scheduling using Adaptive-PSO”, in Soft Computing, Springer, vol. 20, Issue 4, 1565-1580, 2016. [SCI, Q2, IF: 4.1]
DOI: 10.1007/s00500-015-1606-8

Neetesh Kumar, D.P. Vidhyarthi, Improved Scheduler for Multi-Core Many-Core Systems, in Journal of Computing, Springer, vol. 96, Issue 11, 1087–1110, 2014. [SCI, Q2, IF: 2.5]
DOI: 10.1109/1234567