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Department of Computer Science and Engineering
Sulabh Bansal
Visiting Faculty
Department of Computer Science and Engineering,
School of Engineering
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Education Details
  • Ph.D. pursuing (thesis submitted) from Dayalbagh Educational Institute (Deemed University), Agra) Title: “ Engineering of Quantum Inspired Evolutionary Algorithm for the Solution of Some Hard Combinatorial Optimization Problems”.
  • M.Tech. completed in 2012 and graded as First Class with Distinction from Dayalbagh Educational Institute.
  • Bachelor of Engineering (in Computer Science and Engineering) cleared in 2000 and graded as First Class with Distinction from Shivaji University, Kolhapur.
Professional Experience
7 years of experience in IT Industry in the field of software development with companies like Computer Sciences Corporation India Pvt. Ltd. and DSQ Soft Ltd. including 4 months of deputation to client site in New York, US.

6 Years of experience in Academia as Educator and Researcher in institutes like Shiv Nadar University, Dayalbagh Educational Institute and Sharda Group of Institutes.
Research Interests
Algorithms, Evolutionary Algorithms, Combinatorial Optimization, Machine Learning, Data Science.
Select Publications
Patvardhan, C., Bansal, S.* & Srivastav, A., 2016. Parallel Improved Quantum Inspired Evolutionary Algorithm to solve Large Size Quadratic Knapsack Problems, Swarm and Evolutionary Computation, Elsevier Volume 26, pp 175-190.

Patvardhan, C., Bansal, S.* & Srivastav, A. Towards right amount of Randomness in Quantum-Inspired Evolutionary Algorithms , (Accepted September 2015) Soft Computing, Springer. Listed in Thompson & Reuters Science Citation Index Extended, SCI Mago H-Index 41, Impact factor 1.27

Patvardhan, C., Bansal, S.* & Srivastav, A., 2015. Quantum Inspired Evolutionary Algorithm for Difficult Knapsack Problem, Memetic Computing, Springer Volume 7, Issue 2, pp 135-155. SCI Mago H-Index 14, Impact factor 1.00.

Patvardhan, C., Bansal, S.* & Srivastav, A., 2015. Solving the 0–1 Quadratic Knapsack Problem with a competitive Quantum Inspired Evolutionary Algorithm. Journal of Computational and Applied Mathematics, Elsevier Volume 285, pp. 86-99. Listed in Thompson & Reuters Science Citation Index. SCI Mago H-Index 74. 5 Year Impact Factor- 1.365.

Patvardhan, C., Bansal, S.* & Srivastav, A., 2014. Balanced quantum-inspired evolutionary algorithm for multiple knapsack problem. International Journal of Intelligent Systems and Applications, Volume 11, pp. 1-11. Google Scholar H Index – 13. ISI Web of Knowledge Impact factor (IF) in 2013 is 0.10.

Patvardhan, C., Bansal, S.* & Srivastav, A., 2014. Solution of “hard” knapsack instances using Quantum Inspired Evolutionary Algorithm. International Journal of Applied and Evolutionary Computing, Volume 5, Issue 1, pp. 52-68.
National and International Recognition:
Cleared Gate 2000 with score 96.93 percentile and rank 185.

Obtained UGC-BSR Scholarship for one year.
Executive Summary:
Sulabh Bansal has total experience of around 15 years in the field of Computer Science and Engineering comprising of more than 6 years in Academics (Teaching and designing courses), over 6 Years in Industry (Designing, developing and managing the Software solutions and resources) and around 3 Years in Government funded Research Projects during Ph.D. He has developed teaching courses and taught subjects like Design and Analysis of Algorithms, Theory of Formal Automata, Operating Systems, Artificial Intelligence, Computer Networks, Database Management Systems, Programming Languages (Java, C), Compilers etc. He has development experience in diversified programming environments like Parallel programming using Open MP, MPI and CUDA Programming for GPU, Application Development using C, Java, .Net, MySQL, Sybase, etc. and Legacy Mainframe Environment (MVS-Assembler, COBOL, DB2, JCL, CICS, etc.).
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