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", in IEEE Transactions on Vehicular Technology, Accepted, 2025. DOI:

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, "Semi-Markov Options enabled DDPG Method for Autonomous Vehicle Overtaking with LiDAR and RADAR fusion", in IEEE Transactions on Mobile Computing, Accepted, 2025. DOI:

I. Mani Varma, Neetesh Kumar, "Blockchain-based SDN-enabled Lightweight Authentication Protocol for IoV using zk-SNARK", in IEEE Transactions on Network and Service Management, Accepted, 2025. DOI:

Shikhar Vashistha, Neetesh Kumar, "Selective State-Focused Graph Attention Networks for Multihorizon Traffic Forecasting", in IEEE Transactions on Computational Social Systems, Accepted, 2025. DOI:

Nisha Singh Chauhan, Neetesh Kumar, "Exploring Spatial-Temporal Correlations with Dual Stream Conv-GRU and Fuzzy-Inspired Attention Mechanism for Traffic Flow Prediction", in IEEE Transactions on Computational Social Systems, Accepted, 2025. DOI:

Ashok Arora, Neetesh Kumar, Pramod Kumar Singh, "Multi-Agent Deep Reinforcement Learning for Emergency Vehicles Waiting Time Optimization through Partial Information Sharing", in ACM Transactions on Cyber-Physical Systems, Accepted, 2025. DOI:

Vibha Bharilya, Ashok Arora, Neetesh Kumar, "Self-Supervised Transformer for Trajectory Prediction using Noise Imputed Past Trajectory", in IEEE Transactions on Intelligent Transportation Systems, Accepted, 2025. DOI: 10.1109/TITS.2025.3550711

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, "Dynamic Option Policy enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver", in IEEE Transactions on Intelligent Transportation Systems, Accepted, 2025. DOI: 10.1109/TITS.2025.3536020

Dinesh Soni, Neetesh Kumar, "Fuzzy logic-based computation offloading technique in fog computing", in Concurrency and Computation: Practice and Experience , Accepted, June, 2024. DOI: 10.1002/cpe.8198

Indukuri Mani Varma, Neetesh Kumar, Novella Bartolini, "A Polynomial Commitment-driven Zero-knowledge Proof-based Authentication of Autonomous Vehicles in Multi-RSU Broadcast Domains", in IEEE Transactions on Consumer Electronics, Accepted, 2025. DOI: 10.1109/TCE.2025.3553876

Nisha Singh Chauhan, Neetesh Kumar, "STLTEformer: Spatio-Temporal Long-Term Embedding Transformer for Traffic Flow Prediction", in IEEE Transactions on Computational and Social Systems, Accepted, 2025. DOI:

Nisha Singh, Neetesh Kumar, "CAM-RNN: Confined Attention Mechanism enabled RNN framework to improve traffic flow prediction", in Elsevier-Engineering Applications of AI, Accepted, June, 2024. DOI: 10.1016/j.engappai.2024.108791

Neetesh Kumar, Navjot Singh, Anuj Sachan, Rashmi Chaudhry, "SIoV Mobility Management using SDVN-enabled Traffic Light Corporative Framework", in ACM Transactions on Cyber Physical Systems, Accepted, March, 2024. DOI: 10.1145/3653721

Anuj Sachan, Neetesh Kumar, E. Azim, "SDVN enabled traffic light cooperative framework for E-SIoV mobility in a smart city scenario", in IEEE Transactions on Vehicular Technology, Accepted Feb, 2024. DOI: 10.1109/TVT.2024.3376555

Nisha Singh Chauhan, Neetesh Kumar, E. Azim, "A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction", in IEEE Transactions on Intelligent Transportation Systems, Accepted Feb, 2024. 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", in IEEE Transactions on Computational Social Systems, Accepted May, 2024. DOI:

Sanjay Patidar, Rajni Jindal, Neetesh Kumar, "IoT Data Stream Handling, Analysis, Communication and Security Issues: A Systematic Survey", in Wireless Personal communications, Accepted April, 2024. DOI: 10.1007/s11277-024-11177-1

Vibha Bharilya, Neetesh Kumar, "Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions", in Elsevier -Vehicular Communications, Accepted Jan, 2024. DOI: 10.1016/j.vehcom.2024.100733

Sanjay Patidar, Rajni Jindal, Neetesh Kumar, "A Secure and Energy-Efficient Edge computing Improved SZ 2.1 Hybrid Algorithm for Handling IoT Data Stream", in Multimedia Tools and Applications, Accepted Feb, 2024. DOI: 10.1007/s11042-024-18765-0

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, Accepted August, 2021. DOI:

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

I. Mani Varma, Neetesh Kumar, "A Comprehensive survey on SDN and Blockchain based Vehicular Networks", in Journal of Vehicular Communications, Accepted August, 2023. DOI: 10.1016/j.vehcom.2023.100663

Navjot Singh, Paras Saini, Om Shubham, Rituraj Awasthi, Anurag Bharti, Neetesh Kumar, "Improved YOLOv5l for vehicle detection: an application to estimating traffic density and identifying over speeding vehicles on highway scenes", in Journal of Multimedia Tools and Applications, Accepted April,2023. DOI: 10.1007/s11042-023-15520-9

Anuj Sachan, Neetesh Kumar, "SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion", in ACM Transactions on Internet Technology, Accepted, January, 2023. DOI: 10.1145/3641104

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, "Autonomous Vehicular Overtaking Maneuver: A Survey and Taxonomy", in Journal of Vehicular Communications, Accepted May,2023. DOI: 10.1016/j.vehcom.2023.100623

Anuj Sachan, Neetesh Kumar, "S-Edge: Heterogeneity Aware, Light-weighted, and Edge Computing Integrated Adaptive Traffic Light Control Framework" in The Journal of Supercomputing, Accepted Mar, 2023. DOI: 10.1007/s11227-023-05216-0

Anuj Sachan, Neetesh Kumar, "SDN Control Enabled and Time-Quantum Driven Max-Pressure Approach for Intersection Management in Smart City", in IEEE Systems Journal, Accepted Sep, 2022. DOI: 10.1109/JSYST.2022.3211933

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, In press, Accepted May 2022. DOI: 10.1007/s10489-022-03827-3

Rajni Jindal, Neetesh Kumar and and Sanjay Patidar, "IoT Streamed Data Handling Model using Delta Encoding", in International Journal of Communication Systems, Wiley, In press, Accepted May 2022. DOI: 10.1002/dac.5243

Dinesh Soni, Neetesh Kumar, "Machine Learning Techniques in Emerging Cloud Computing Integrated Paradigms: A Survey and Taxonomy", in Journal of Network and Computer Applications, Elsevier, In press, Accepted May 2022. DOI: 10.1016/j.jnca.2022.103419.

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”, in IEEE Transactions on Intelligent Transportation System, Accepted Feb 2022. DOI: 10.1109/TITS.2022.3147685.

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, Wiley, Jan, 2022. DOI: 10.1002/dac.5111.

Rashmi Chaudhry,Neetesh Kumar “ A Multi-objective Meta-heuristic Solution for Green Computing in Software-Defined Wireless Sensor Networks ", IEEE Transactions on Green Communications and Networking. DOI : 10.1109/TGCN.2021.3122078

Neetesh Kumar , Sarthak Mittal, Vaibhav Garg, Neeraj Kumar, “ Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System ", IEEE Transactions on Intelligent Transportation System. DOI : 10.1109/TITS.2021.3095161

Neetesh Kumar , Deo Prakash Vidyarthi, “ A novel energy-efficient scheduling model for multi-core systems " Cluster Computing. DOI : 10.1007/s10586-020-03143-w

Neetesh Kumar , Deo Prakash Vidyarthi, Rajkumar Buyya “ Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework " Simulation Modelling Practice and Theory DOI: 10.1016/j.simpat.2021.102307

Neetesh Kumar , Navjot Singh, Deo Prakash Vidyarthi “ Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm " Soft Computing DOI : 0.1007/s00500-021-05606-7

Neetesh Kumar , Rashmi Chaudhry, O.P. katwariya, “Green Communication in Software Defined Social Internet of Vehicles, IEEE Transactions on Intelligent Transportation System. DOI: 10.1109/TITS.2020.3028695

Neetesh Kumar , S. Rahman and Naveen Dhakad, “Fuzzy Inference Enabled Deep Reinforcement Learning based Traffic Light Control for Intelligent Transportation System” IEEE Transactions on Intelligent Transportation System (ITS) DOI: 10.1109/JSEN.2018.2869629 ,

Neetesh Kumar , D.P. Vidhyarthi (2018), “A Green Routing Algorithm for IoT enabled Software Defined Wireless Sensor Network " IEEE Sensors journal, 18(22), 9449-9460 DOI: 10.1109/JSEN.2018.2869629 . notified by IEEE council in the list of world’s top 15 most downloaded articles in the month of Oct-Nov 2018.

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar , “A Green Multicast Routing Algorithm for Smart Sensor Networks in Disaster Management ” IEEE Transactions on Green Communications and Networking . DOI: 10.1109/TGCN.2019.2891752

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

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar "Forwarding zone enabled Many-objective Particle Swarm Optimization for Multicast Routing Problem", (2019)Information Sciences, Elsevier. DOI: 10.1016/j.ins.2019.05.002

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

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

Neetesh Kumar , D.P. Vidhyarthi (2018), “GA Inspired Hybrid Heuristic for Load Balancing on Multi-Core Many/core Systems” in the Computer Journal Oxford Press. DOI: 10.1093/comjnl/bxy085

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar (2018), "Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET", in Applied Intelligence, Springer, 1-28. DOI: 10.1007/s10489-017-1127-5

Neetesh Kumar , D.P. Vidhyarthi (2017), “A GA based energy aware scheduler for DVFS enabled multicore systems,” in Computing, Springer. Computing, 99(10), 955-977 . DOI: 10.1007/s00607-017-0540-2

Neetesh Kumar , D.P. Vidhyarthi (2016), “A Model for Resource Constrained Project Scheduling using Adaptive-PSO,” in Soft Computing, Springer , 20(4), 1565–1580, DOI: 10.1007/s00500-015-1606-8.

Neetesh Kumar, D.P. Vidhyarthi (2016), “A novel hybrid PSO–GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems,” in Engineering with Computers , Springer, 32(1), 35-47. . DOI: 10.1007/s00366-015-0396-z.

Neetesh Kumar , D.P. Vidhyarthi (2014), “Improved Scheduler for Multi-Core Many –Core Systems,” in Journal of Computing. Springer . Computing 96(11), 1087–1110. DOI: 10.1007/s00607-014-0420-y.