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Curriculum Vitae

Ishaan R Kale

P.hd., M.Eng., B.Eng.

Research Assistant Professor

Institute of Artificial Intelligence

Dr Vishwanath Karad MIT World Peace University

124 Paud Road, Kothrud, Pune 411038

MH, India

Researcher

Optimization and Agent Technology Research (OAT Research) Lab

Email: kale.ishaan@gmail.com; ishaan.kale@mitwpu.edu.in

Orcid ID: orcid.org/0000-0003-2983-5004

Google Scholar link: https://scholar.google.com/citations?user=KUWMmTgAAAAJ&hl=fr

Linkedin link: https://www.linkedin.com/in/dr-ishaan-r-kale-bb4051118/

Ishaan R Kale holds Ph.D. in Nature-Inspired Optimization Techniques from the faculty of Mechanical Engineering, Symbiosis International University. He received his Master of Engineering in Mechanical Design Engineering from Maharashtra Institute of Technology, Pune University and Bachelor of Engineering from North Maharashtra University. Ishaan worked as an Assistant Professor at Symbiosis Institute of Technology for six years. Currently, he is working as a Research Assistant Professor at the Institute of Artificial Intelligence, MIT World Peace University. His research interest includes Design Engineering, Structural Optimization, Computational Intelligence, Constraint Handling, Probability Collectives, Socio Inspired Optimization Methods, Physics-Based Optimization Methods, Cohort Intelligence, Particle Swarm Optimization, Genetic Algorithm, Hybrid Metaheuristics, Game Theory, Operation Research and Numerical Methods. He has published 10 research papers in peer reviewed journals, conferences and chapters along with one authored and one edited book planned. He is also involved as an active research member of the Optimization and Agent Technology Research Lab.

Area of Interest

Constrained Optimization Algorithms, Artificial Intelligence, Multi-Agent Systems, Complex Optimization, Discrete and Mixed Variable Design Engineering, Truss Structure Optimization, Cohort Intelligence, Probability Collectives, Operations Research, Particle Swarm Optimization, Game Theory, Genetic Algorithm

Education

2015-2021 Ph.D. Mechanical Engineering, Symbiosis International (Deemed) University, Pune India

2011-2013 Master of Engineering (Design Engineering) Maharashtra Institute of Technology, University of Pune, India

2007-2011 Bachelor of Engineering (Mechanical Engineering) North Maharashtra University, Jalgaon, India

Publications

Book

Kale, I.R., & Kulkarni, A.J. (2021). Constraint Handling in Cohort Intelligence Algorithm (1st ed.). CRC Press. https://doi.org/10.1201/9781003245193

https://www.routledge.com/Constraint-Handling-in-Cohort-Intelligence-Algorithm/Kale-Kulkarni/p/book/9781032150758

Book Description

Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms.

Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined.

Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.

Kale, I.R. & Sadollah, A. (2023). Optimization Methods for Structural Engineering (1st ed.) Springer

https://doi.org/10.1007/978-981-99-2378-6

https://link.springer.com/book/10.1007/978-981-99-2378-6#bibliographic-information

Book Description

This contributed book focuses on optimization methods inspired by nature such as Harmony Search Algorithm, Drosophila Food-Search Algorithm, Cohort intelligence algorithm and its variations, fuzzy logic along with their hybridization variants. It also focuses on multi-objective optimization algorithms such as Non-Dominated Sorting Genetic Algorithm, Particle Swarm Optimization, Evolutionary Algorithm, Pareto Envelope Selection Algorithm, and Strength Pareto Evolutionary Algorithm. The content focuses on topics such as the optimal design of truss systems with various applications, the design and simulation of quarter car systems for comfort design, the road handling design and a balanced system, and topology optimization of 2-dimensional and 3-dimensional structure in linear elasticity, plasticity and fracture mechanics among others. This book is a useful reference for those in academia and industry.

Khadse, C.B., Kale, I.R. and Shastri A.S. (2024). Intelligent Methods in Electrical Power Systems, Springer

https://link.springer.com/book/10.1007/978-981-97-5718-3

Book Description

This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.

Journal Papers

Reddy, R., Gupta, U., Kale, I.R., Shastri, A and Kulkarni, A.J. (2024) “Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems”, SN Computer Science, 5, 376
Kulkarni, A.J., Kale, I.R., and Khandekar, A. (2024) “Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm”, Soft Computing, Springer
Kale, I.R., Sapre, M.S., Khedkar, A, Dhamankar, K, Anand, A. and Singh, A., (2024) “Hybrid ACO-CI Algorithm for Beam Design problems”, SN Computer Science, 5 (282), pp. 1-11
Kale, I.R., Pachpande, M.A., Naikwadi, S.P. and Narkhede, M.N. (2022) “Optimization of Advanced Manufacturing Processes using Socio Inspired Cohort Intelligence Algorithm”, International Journal for Simulation and Multidisciplinary Design Optimization, 13(6), 1-8 (Link)
Kale, I.R. and Kulkarni, A.J. (2021): "Cohort Intelligence with self-adaptive penalty function approach hybridized with colliding bodies optimization algorithm for discrete and mixed variable constrained problems", Complex and Intelligent Systems, 7(3), 1565-1596 (Link)
Dhavle S.V., Kulkarni, A.J., Shastri A., Kale I.R. (2017): “Design and Economic Optimization of Shell-and-Tube Heat Exchanger using Cohort Intelligence Algorithm” Neural Computing and Applications, 30(1), pp.111-125. (Link)
Kale I.R., Kulkarni A.J. (2017): “Cohort Intelligence Algorithm for Discrete and Mixed Variable Engineering Problems”, International Journal of Parallel, Emergent and Distributed Systems, pp.1-36 (Link)
Kulkarni, A.J., Kale, I.R. and Tai, K. (2016) “Probability Collectives for Solving Discrete and Mixed Variable Problems”, International Journal of Computer Aided Engineering and Technology, 8(4), pp 325-361 (Link)

Conference Papers

Kumar S., Pujari S., Kulkarni A., Misal P., Kale I.R. (2023) “Image Steganography Using Particle Swarm Optimization”, Accepted for Publication, in Proceedings of the 2nd International Conference on Intelligent Systems and Application, LNNS, Springer
Sapre, M.S., Kulkarni, A.J., Kale, I.R. and Pandey, (2022) “Application of Cohort Intelligence Algorithm for Numerical Integration” in Proceedings of the 1st International Conference on Intelligent Systems and Application, LNEE, Springer
Sarmah, D.K. and Kale, I.R., 2019 "Cryptography Algorithm Based on Cohort Intelligence" in Proceedings of the 2nd International Conference on Data Engineering and Communication Technology (ICDECT 2017) Springer, pp. 431-439
Kulkarni, A.J., Kale, I.R., Tai, K. (2013) “Probability Collectives for Solving Truss Structure Problems” in Proceedings of 10th World Congress on Structural and Multidisciplinary Optimization (WCSMO’ 2013), Orlando, Florida, USA, 19-24 May, 2013, Paper ID: 5395
Kulkarni, A.J., Tai, K. Kale, I.R., Azad, S.K. (2012) “Discrete Optimization of Truss Structure using Probability Collectives” in Proceedings of IEEE Hybrid Intelligent Systems (HIS 2012), Pune, India, 04-07 December 2012, pp. 225-230

Book Chapter

Sapre, M., Kale, I.R. (2024) A brief review of bilevel optimization techniques and their applications, In: Kulkarni, A.J., Gandomi, A.H. (eds) Handbook of Formal Optimization. Springer, Singapore.
Pillai, A.M., Dogra, A., Thomas, B., Uplenchwar, A. and Kale, I.R. “Design and Analysis of Gas Turbine Rotor Blade with Film Cooling for Aeronautical Applications” (Submitted)
Kale, I.R., Kulkarni, A.J., Mezura-Montes, E. (2023). A Socio-Physics-Based Hybrid Metaheuristic for Solving Complex Non-convex Constrained Optimization Problems. In: Kulkarni, A.J., Gandomi, A.H. (eds) Handbook of Formal Optimization. Springer, Singapore. https://doi.org/10.1007/978-981-19-8851-6_27-1
Patel, S., Kale, I.R. and Kulkarni, A.J., 2023. Hybridization of Cohort Intelligence and Fuzzy Logic (CIFL) for Truss Structure Problems. In Optimization Methods for Structural Engineering (pp. 79-93). Singapore: Springer Nature Singapore.
Kale, I.R. and Khedkar, A., 2023. CI-SAPF for Structural Optimization Considering Buckling and Natural Frequency Constraints. In Optimization Methods for Structural Engineering (pp. 41-52). Singapore: Springer Nature Singapore.
Sapre, M.S., Dsouza, N., Kale, I.R., Agarwal, S. and Phadke, A., 2023. Cyclic Surgery Scheduling using Variations of Cohort Intelligence. In Combinatorial Optimization Under Uncertainty (pp. 129-140). CRC Press.
Kale, I.R., Khedkar, A. and Sapre, M.S., 2023. Truss Structure Optimization Using Constrained Version of Variations of Cohort Intelligence. In Optimization Methods for Structural Engineering (pp. 67-78). Springer Nature Singapore.
Kale, I.R. and Kulkarni, A.J. (2019): “A Socio-based Cohort Intelligence Algorithm for Engineering Problems”, in Kulkarni, A.J., Singh, P.K., Satapathy, S.C., Husseinzadeh, K. A., Tai, K. (Eds.), in Socio-cultural Inspired Metaheuristics, Studies in Computational Intelligence, Vol 828, Springer, pp. 121-135

Edited Books Proposed and Planned

Kale, I.R. and Kulkarni, A.J. Optimization in Machining Processes. Click here for the aim and scope of the planned book. This book is planned to be published in the Springer Series entitled 'Engineering Optimization: Methods and Applications'. Book Series Link: https://www.springer.com/series/16781
Khadse, C., Kale, I.R., Shastri, A. and Kulkarni, A.J. Intelligent Systems in Electrical Engineering, Click here for the aim and scope of the planned book. This book is planned to be published in the Springer Series entitled 'Engineering Optimization: Methods and Applications'. Book Series Link: https://www.springer.com/series/16781
Kale, I.R. and Kulkarni A.J. Constraint Handling in Optimization Methods. This section is planned to be published in the Springer Series entitled 'Handbook of Formal Optimization'

Reviewer

Journals

Engineering Applications of Artificial Intelligence (EAAI)

Swarm and Evolutionary Computation (SWEVO)

Knowledge-Based and Intelligent Engineering Systems (KES)

SM Applied Science

IEEE Access

IGI Global

Conferences

International Conference on Data Engineering and Technology (ICDECT 2017) Springer,

International Conference on Intelligent Systems and Applications (ICISA 2022) Springer

Book Chapters

Socio-cultural Inspired Optimization, Studies in Computational Intelligence, Springer

Big Data

Machine Learning

Multi-Criteria Decision Making

Metaheuristics in Structural Optimization

Work Experience

Jan 2022-Till Date, (Assistant Professor), Institute of Artificial Intelligence, MIT-WPU, Pune, India

Apr 2015-Jan 2022, (Assistant Professor) Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India

Dec 2013-April 2015, (Assistant Professor) JSPM's Rajarshi Shahu School of Engineering and Research, Savitribai Phule Pune University, Pune, India

Jun 2013-Dec 2013, (Assistant Professor) ZEAL Dnyanganga College of Engineering and Research, Savitribai Phule Pune University, Pune, India