Suvasis Nayak
Suvasis Nayak
Assistant Professor
Dr. Suvasis Nayak is currently working as an Assistant Professor in the Dept. of Mathematics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar. He has been awarded a Ph.D. in Mathematics from Indian Institute of Technology Bhubaneswar. His broad area of research is Optimization Techniques.
Profile Links
Email :
[email protected]
Scopus Id :
56672406800
Google Scholar :
https://scholar.google.com/citations?user=pd6y75MAAAAJ&hl=en
Social Links
Educational Qualification
Ph.D. in Mathematics
Research Interests
Administrative Responsibility
Outreach Activity
Reviewer of the Journals:
Ph.D. in Mathematics
Research Interests
- Multi-Objective Optimization
- Fractional Programming
- Geometric Programming
- Fuzzy Optimization.
Administrative Responsibility
- Member of SAS Examination Team.
- GATE Coordinator, Mathematics.
Outreach Activity
Reviewer of the Journals:
- International Journal of Management Science and Engineering Management
- Computational and Applied Mathematics
- Journal of Ambient Intelligence and Humanized Computing
- Rairo-Operation Research
- Artificial Intelligence Review
- Convener of “International Webinar on Advances in Optimization Techniques (IWAOT)” Oct. 30 - Nov. 01, 2020, organized by Dept. of Mathematics, School of Applied Sciences, KIIT Deemed to be University.
Journals/Conferences :
Ø Nayak, Suvasis, and Ojha, Akshay. “Solving Bi-Level Linear Fractional Programming Problem with Interval Coefficients”. Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. (2020)
Ø Nayak, Suvasis, and Ojha, Akshay. "Solution approach to multi-objective linear fractional programming problem using parametric functions." Opsearch, 56.1 (2019): 174-190. Springer.
Ø Nayak, Suvasis, and Ojha, Akshay. "An approach of fuzzy and TOPSIS to bi-level multi-objective nonlinear fractional programming problem." Soft Computing, 23.14 (2019): 5605-5618. Springer.
Ø Nayak, Suvasis, and Ojha, Akshay. "On multi-level multi-objective linear fractional programming problem with interval parameters." RAIRO-Operations Research, 53.5 (2019): 1601-1616. EDP Sciences.
Ø Nayak, Suvasis, and Ojha, Akshay. “Multi-objective Linear Fractional Programming Problem with Fuzzy Parameters”. Proceedings of Seventh International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. (2019)
Ø Nayak, Suvasis, and Ojha, Akshay. “A Solution Approach to Multi-level Nonlinear Fractional Programming Problem”. Operations Research and Optimization. FOTA 2016. Springer Proceedings in Mathematics & Statistics, vol 225. Springer, Singapore. (2018)
Ø Nayak, Suvasis, and Ojha, Akshay. “An Approach to Solve Multi-objective Linear Fractional Programming Problem”. Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. (2016)
Ø Nayak, Suvasis, and Ojha, Akshay. "Goal attainment method and Taylor series approximation to solve multi-objective linear fractional programming problem." International Journal of Mathematical Modelling and Numerical Optimisation, 6.3 (2015): 235-249. Inderscience.
Ø Nayak, Suvasis, and Ojha, Akshay. "Generating Pareto Optimal Solutions of Multi-Objective LFPP with Interval Coefficients Using∊-Constraint Method." Mathematical Modelling and Analysis, 20.3 (2015): 329-345. Taylor & Francies.
Ø Nayak, Suvasis, and Ojha, Akshay. “Solving Bi-Level Linear Fractional Programming Problem with Interval Coefficients”. Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. (2020)
Ø Nayak, Suvasis, and Ojha, Akshay. "Solution approach to multi-objective linear fractional programming problem using parametric functions." Opsearch, 56.1 (2019): 174-190. Springer.
Ø Nayak, Suvasis, and Ojha, Akshay. "An approach of fuzzy and TOPSIS to bi-level multi-objective nonlinear fractional programming problem." Soft Computing, 23.14 (2019): 5605-5618. Springer.
Ø Nayak, Suvasis, and Ojha, Akshay. "On multi-level multi-objective linear fractional programming problem with interval parameters." RAIRO-Operations Research, 53.5 (2019): 1601-1616. EDP Sciences.
Ø Nayak, Suvasis, and Ojha, Akshay. “Multi-objective Linear Fractional Programming Problem with Fuzzy Parameters”. Proceedings of Seventh International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. (2019)
Ø Nayak, Suvasis, and Ojha, Akshay. “A Solution Approach to Multi-level Nonlinear Fractional Programming Problem”. Operations Research and Optimization. FOTA 2016. Springer Proceedings in Mathematics & Statistics, vol 225. Springer, Singapore. (2018)
Ø Nayak, Suvasis, and Ojha, Akshay. “An Approach to Solve Multi-objective Linear Fractional Programming Problem”. Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. (2016)
Ø Nayak, Suvasis, and Ojha, Akshay. "Goal attainment method and Taylor series approximation to solve multi-objective linear fractional programming problem." International Journal of Mathematical Modelling and Numerical Optimisation, 6.3 (2015): 235-249. Inderscience.
Ø Nayak, Suvasis, and Ojha, Akshay. "Generating Pareto Optimal Solutions of Multi-Objective LFPP with Interval Coefficients Using∊-Constraint Method." Mathematical Modelling and Analysis, 20.3 (2015): 329-345. Taylor & Francies.