Tarun Kumar Sharma, Ph.D. (IIT Roorkee)

Academician and researcher in the domain of Computational Intelligence with an experience and exposure of 18+ Years.

Dr. Tarun K. Sharma is the Professor  & Head of CSE and Dean – School of Engineering & Technology. Proir to this he was Professor at Graphic Era Hill University Dehradun where he taught from July 2019 – May 2020.  His profile includes a stint of over 6 years at Associate Professor & Head – Department of Computer Science & Engineering / IT as well as Alternate Director – Outcome, Amity University Rajasthan, Jaipur, where he played a pivotal role in designing and developing Syllabus and Labs in alignment of Industry 4.0 and as per the National Education Policy (NEP) 2020. He has been to Amity Institute of Higher Education Mauritius on deputation.

He obtained his doctorate from Indian Institute of Technology (IIT) Roorkee, making seminal contribution in the area of Computational Intelligence. He teaches a variety of courses to UG, PG & Doctoral students including Soft Computing, Data Science, Machine Learning, Software Engineering, and Optimization.

He is a recipient of the coveted Microsoft Research India travel award to visit Australia. He has also availed travel grants from CSIR, New Delhi and DST New Delhi; Singapore and Malaysia respectively to present the research papers in the conference of high repute.

He has supervised 4 Ph.D., 5 are in process, 12 M.Tech Dissertations, several MCA Projects and B.Tech Projects. He has over 80 research publications in International Journal (SCI & SCOPUS), Chapters in edited books, Conferences of repute (Scopus) and has over 900+ Google citations to his research work with H-Index of 15; i10 Index of 28. He is also working on a DST Rajasthan Funded Project worth Rs. 5, 86, 700/-. He has edited 7 volumes of Conference Proceedings published by AISC and LNME series of Springer (SCOPUS) Publication, two edited books with Asset Analytics, SpringerNature and 2 edited books are in press and recently a book proposal to author a book got accepted in SpringerNature Series, Indexed in Scopus.

He served as an editorial board member and reviewer of national and international journals.

He is a founding member of International Conference on Soft Computing: Theories and Applications (SoCTA Series) (www.socta.in), Congress on Advances in Materials Science and Engineering (CAMSE) (www.camse.in);  Recent Advances in Sustainable Environment (RAiSE 2022) (http://raise.stemrs.in/) and STEM Research Society (www.stemrs.in).

6th International Conference - SoCTA2021
3rd International
Congress on Advances in Mechanical and Systems Engineering - CAMSE2021


  1. Amit Hirawat, Tarun K. Sharma, Swapnesh Taterth. A dynamic window-size based segmentation technique to detect driver entry and exit from a car. Journal of King Saud University - Computer and Information Sciences, Elsevier. (IF: 13.473)  (2021).  

  2. Himanshu Gupta, Hirdesh Varshney, Tarun Kumar Sharma, Nikhil Pachauri, Om Prakash Verma, Comparative Performance Analysis of Quantum Machine Learning with Deep Learning for Diabetes Prediction, Complex & Intelligent Systems, Springer. https://doi.org/10.1007/s40747-021-00398-7  (IF: 4.927)  (2021)

  3. H Gupta, S Kumar, D Yadav, OP Verma, Tarun Kumar Sharma, CW Ahn, JH Lee, Data Analytics and Mathematical Modeling for Simulating the Dynamics of COVID-19 Epidemic—A Case Study of India. Electronics, MDPI, 10(2), 127 (IF: 2.397) (2021)

  4. Tarun Kumar Sharma, Enhanced Butterfly Optimization Algorithm for Reliability Optimization Problems Journal of Ambient Intelligence and Humanized Computing https://doi.org/10.1007/s12652-020-02481-2 (IF: 7.104) (SCI (2020)

  5. Tarun Kumar Sharma and Ajith Abraham, Artificial Bee Colony with Enhanced Food Locations for Solving Mechanical Engineering Design problems, Ambient Intelligence and Humanized Computing, Springer (DOI: 10.1007/s12652-019-01265-7) (IF: 7.104) (2019)

  6. Preeti Gupta, Tarun Kumar Sharma, Deepti Mehrotra and Ajith Abraham,  Knowledge building through optimized classification rule set generation using Genetic Based Elitist Multi Objective Approach In Neural Computing and Applications (NCAA), Springer, DOI: 10.1007/s00521-017-3042-4,  (IF: 5.606). 2017.

  7. Tarun Kumar Sharma and Millie Pant, Opposition Based Learning ingrained Shuffled Frog-Leaping Algorithm. Journal of Computational Science, Elsevier,  Volume 21, Pages 307-315  (IF: 3.976), 2017

  8. Tarun Kumar Sharma and Millie Pant, Shuffled Artificial Bee Colony Algorithm. Soft Computing, Volume 21, Issue 20, pp 6085–6104, 2016 (DOI: 10.1007/s00500-016-2166-2) (ISSN: 1433-7479) (IF: 3.643). 2016

  9. Tarun Kumar Sharma and Millie Pant, Enhancing the Food Locations in an Artificial Bee Colony Algorithm”, Soft Computing, Springer, 17(10), pp. 1939 - 1965, 2013 (DOI: 10.1007/s00500-013-1029-3) (ISSN: 1433-7479) (IF: 3.643). 2013

  10. Tarun Kumar Sharma, Millie Pant and Mohar Singh, Nature Inspired Metaheuristic Techniques as Powerful Optimizers in Paper Industry, Materials and Manufacturing Processes, Taylor and Francis, 28(7), pp. 788 - 802, 2013 (DOI: 10.1080/10426914.2012.736650) (ISSN: 1532-2475). (IF: 4.616) 2013

  11. Pravesh Kumar, Sushil Kumar, Tarun Kumar Sharma and Millie Pant. Bi-level Thresholding Using PSO, Artificial Bee Colony and MRLDE embedded with Otsu Method”, Memetic Computing, Springer. 5(4), pp. 323-334 (DOI 10.1007/s12293-013-0123-5), 2013. (ISSN: 1865-9292). (IF: 5.900), 2013

Bundelkhand University Jhansi