Neetesh Kumar - Department of Computer Science and Engineering,Indian Institute of Technology Roorkee
Neetesh Kumar
Neetesh Kumar Assistant professor 01332-284977
Areas of Interest
  • High Performance Computing:, Parallel Computing, Cloud/Fog/Edge Computing, Evolutionary Computing:, Soft Computing, Nature Inspired Computing, Wireless Sensors Network (WSN):, WSN, Software Defined Wireless Sensors Network, SIoVs, etc. , Intelligent Transportation System:, Intelligent and Dynamic Traffic Light Control Systems, Autonomous Vehicles etc., Deep Reinforcement Learning (DRL): , Applications of DRL
Professional Background
2020-01-01OngoingAssistant Professor IIT-Roorkee
2017-01-013 years Assistant Professor ABV-Indian Institute of Information Technology & Management (IIITM), Gwalior, India
2016-01-011 year Assistant Professor Delhi Technological University (DTU), Delhi, India
2015-01-011 year Assistant Professor Shri Mata Vaishno Devi University (SMVDU), Katra, Jammu & Kashmir, India.
Honors and Awards
Best Paper Award IEEE CICT 20192019
Special Mention Awarded Xerox Research Centre BangaloreXRCI Open 20162016
Travel Grant Awarded with IEEE IPDPS International SocietyIPDPS 20152015
Educational Details
PhDParallel ComputingJNU, New Delhi2015
M.Tech.Computer Science & TechnologyJNU, New Delhi2012
Sponsored Research Projects
TopicFunding AgencyStart DatePeriod
Emergency aware Intelligent Dynamic Traffic Signal System for Smart CitiesCSIR (As PI)2020-033 years
Software defined controlled and dynamic traffic load balanced scheduling framework for ITSSERB. DST (As PI)2019-113 years
IoT based automated, Real Time and Effective Traffic Signal Scheduling for Smart CityICPS, DST (As PI)2019-023 years
  • IEEE, Member
Special Lectures Delivered
Soft Computing: Particle Swarm OptimizationABES Ghaziabad 2020-01
An Overview to Cloud Computing and A Green SLA based Cloud Framework National Power Training Institute (NPTI), under the ministry of Power Co-operation Shivpuri, M.P.2020-01
Understanding of Canonical Particle Swarm based Optimization and Its Modeling for Network Routing JIIT, Noida2019-01
Conference chairs, IEEE CICT Dec-2019Indian Institute of Information Technology (IIIT) Allahabad2019-01
Keynote speaker, National Conference on recent trends in Computer ScienceAmity University Gwalior 2018-01
Refereed Journal Papers
  1. Neetesh Kumar, Rashmi Chaudhry, O.P. katwariya, “Green Communication in Software Defined Social Internet of Vehicles, IEEE Transactions on Intelligent Transportation System. SCI (Impact factor: 6.319) (Accepted)

  2. 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/TITS.2020.2984033, SCI (Impact factor: 6.319)

  3. 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. SCI (Impact factor 3.076). DOI: 10.1109/JSEN.2018.2869629notified by IEEE council in the list of world’s top 15 most downloaded articles in the month of Oct-Nov 2018.

  4. 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.

  5. 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, SCI (Impact factor 6.125).

  6. Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar " Forwarding zone enabled Many-objective Particle Swarm Optimization for Multicast Routing Problem", (2019) Information Sciences, Elsevier. SCI (Impact factor 5.910)

  7. Neetesh Kumar, D.P. Vidhyarthi, “An Energy Efficient SLA based Scheduling for Parallel Applications in Heterogeneous Cluster Systems”, in Journal of Sustainable Computing, Elsevier, 22 (2019) 107–119. SCI (Impact factor 2.798).

  8.  Asif ali laghari, Hui He, Asiya; Neetesh Kumar, Kharel, Rupak (2018), “QoC: Quality of Experience (QoE) Framework for Cloud Computing”, IEEE Access, 6, 64876-64890. SCI (Impact factor 4.640)

  9. 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.  SCI (Impact factor 1.077) (

  10. Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar (2018), "Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET", in Applied Intelligence, Springer, 1-28. SCI (Impact factor 3.325)

  11. 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 SCI (Impact factor 2.044).

  12. 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, SCI (Impact factor 3.050).

  13. Neetesh Kumar, D.P. Vidhyarthi (2016), “Multiprocessors Scheduling of Directed Acyclic Graphs with Communication using Hybrid PSO-GA,” in Engineering with Computers, Springer, 32(1), 35-47.  SCI (Impact factor 3.938).

  14. 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. SCI (Impact factor 2.044).

  15. Neetesh Kumar, D.P. Vidhyarthi, “A Novel Energy Efficient Scheduler for Multi-Core Systems” in Cluster Computing, Springer, 2020, DoI:  SCI (Impact factor: 3.458)

Conference Paper and Poster Presented:

  1. Neetesh Kumar, D.P. Vidhyarthi, mproved Scheduler for Multi-Core Many–Core Systems, Poster, in 29-th International Symposium on Parallel and Distributed Computing (IPDPS 2015) (Poster presented)

    1. Honor:  Travel Grant Awarded with IEEE IPDPS International Society.       

  2. Neetesh Kumar, Chandresh Kumar Maurya, DR: A Novel and Practical Non-Comparison Based Sorting Algorithm, Poster presentation at Research Colloquia in XRCI Open 2016. (Poster presented)

    1. Honor:  Special Mention Awarded Xerox Research Centre Bangalore.       

  3. Y. Lu, L. Yang, V. C. Bhavsar, N. Kumar, Tree structured data processing on GPUs, in: 7th IEEE International Conference on Cloud Computing, Data Science and Engineering Confluence, 2017, pp. 504–511. doi:978- 1-5090-3519-9/17. (Published)

  4. Reya Sharma, Rashika Bangroo, Manoj Kumar and Neetesh Kumar, A Model for Resource Constraint Project Scheduling Problem using Quantum inspired PSO, Next Generation Computing Technologies (NGCT 2017). (Published)

  5. Rashika Bangroo, Neetesh Kumar, Reya Sharma., A Model for Multi-Processor Task Scheduling Problem using Quantum Genetic Algorithm, Hybrid Intelligent Systems, 2018.(Published)

  6. Anuj Sachan and Neetesh Kumar, Light Weighted Mutual Authentication and Dynamic Key Encryption for IoT Devices Applications, 2019 international conference on Issues and challenges in Intelligent Computing, Ghaziabad India.(Published)

  7. Neetesh Kumar and S. Rahman, Deep Reinforcement Learning with Vehicle Heterogeneity based Traffic Light Control for Intelligent Transportation System In 2nd IEEE International Conference on Industrial Internet (ICII-2019), Orlando, Florida, USA. (Presented Nov. 2019)

  8. Pratyush Ranjan, Shubhanker Srivastava, Vidit Gupta, Shashikala Tapaswi and Neetesh Kumar, Decentralized and Distributed System for Organ/Tissue Donation, CICT 2019, IIIT Allahabad. (Presented Dec. 2019)

  9. Swarup Padhy, Juhi Tiwari, Shivam Rathore and Neetesh Kumar, Emergency Signal Classification for the Hearing Impaired using Multi-channel, IEEE CICT 2019, IIIT Allahabad. (Presented Dec. 2019)

    1. Honor:  Best Paper Award at IEEE CICT 2019.   

  10.  Rajni Zindal, Neetesh Kumar and Hitesh Nirwan,  MTFCT: A task offloading approach for fog computing and cloud computing, IEEE Confluence-2020:10th International Conference Amity Noida. (Presented Dec. 2019)

  11. R. Jindal, Neetesh Kumar, S. Patidar, IoT stream data compression using LDPC coding,  International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), January 4 -5, 2020. (Presented Jan. 2020)

  12. Aishwarya Karmarkar,  Prasenjit Chanak and Neetesh Kumar, An optimized SVM based Fault Diagnosis Scheme for Wireless Sensor Networks, SCEECS-2020: 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science, MANIT Bhopal, India, Feb-2020. (Accepted)

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Credits : Information Management Group, IIT Roorkee
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