Dr. Anand J Kulkarni

Bio

Anand J Kulkarni holds a PhD in Artificial Intelligence (AI) based Distributed Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada. He worked as Postdoctoral Research Fellow at Odette School of Business, University of Windsor, Canada. Anand is a Bachelor of Engineering in Mechanical Engineering from the Shivaji University, India and holds a Diploma from Board of Technical Education, Mumbai, India. Since 2021, he is working as Research Professor and Associate Director of the Institute of Artificial Intelligence at the MIT-WPU, Pune, India. His research interests include AI based Nature Inspired optimization algorithms, and self-organizing systems. Anand pioneered optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, Socio Evolution & Learning Optimization Algorithm, Leader-Advocate-Believer Algorithm and Snail Homing and Mating Search Algorithm. Anand has published over 90 research papers in peer-reviewed reputed journals, chapters and conferences along with 7 authored and 15 edited books. He has so far guided 6 doctoral, 10 masters and over 100 UG students. Anand is the lead series editor for Springer and Taylor & Francis as well as associate editor of Elsevier journals such as ‘Engineering Applications of Artificial Intelligence’ and ‘Systems and Soft Computing’ as well as IOS Press KES journal. He is the recipient of the best paper award in IEEE ICNSC, Chicago, USA and 'Swatantryveer Savarakar Award' 2023 by ‘Pune Marathi Granthalay’, Pune for his Marathi book entitled 'Artificial Intelligencechya Watewar'.

Research Areas

Nature Inspired AI based Methods, Self Organizing Systems, Optimization and Machine Learning

Publications

1. Biswal, S.K., Kulkarni, A.J.: Exploring the Intersection of Artificial Intelligence and Journalism: The Emergence of a New Journalistic Paradigm, Routledge, Taylor & Francis (ISBN 9781032716893) (2024)

2. Kulkarni, A.J., Gandomi, A.H: Handbook of Formal Optimization, Living Major Reference Work/Encyclopedia, Springer (2024), (DOI: 10.1007/978-981-19-8851-6) (ISBN: 978-981-97-3820-5)

3. Ariffin, S., Kulkarni A.J., On, C.K. Hijazi, M.H.A.: Intelligent Systems of Computing and Informatics, CRC Press/Routledge, Taylor and Francis (2024), ISBN 978-1-032-50946-4)

4. Kulkarni, A.J.: “Multiple Criteria Decision Making – Techniques, Analysis and Applications”, Studies in Systems, Decision and Control, Springer, 407, (2022), (ISBN 978-981-16-7414-3), (ISBN 978-981-16-7414-3)

5. Kulkarni, A.J., Siarry, P.: Handbook of AI-based Metaheuristics, Advances in Metaheuristics, CRC Press/Routledge (Taylor and Francis), (2021) (DOI: 10.1201/978-1-003-16284-1), (ISBN: 978-036-775-303-0)

6. Nargundkar, A., Shastri, A.S., Silswal, S., Kulkarni, A.J. (2024): Optimization of Process Parameters for Printed Circuit Board Drilling for Micro Needle with Socio Inspired Optimization Algorithms, International Journal on Interactive Design and Manufacturing (In Press) (IF: 2.1)

7. Singh, A., Dutta, S., Agrawal, G., Sapre, M.S., Kulkarni, A.J. (2024): A machine learning approach to predict demand-to-capacity ratio for reinforced concrete jacketing of columns in seismic-deficient buildings, Journal of Building Pathology and Rehabilitation, (In Press)

8. Kulkarni, A.J., Kale, I.R., Shastri, A.S., Khandekar, A. (2024): Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm, Soft Computing, 28, pp 10629–10668 (IF: 3.1)

9. Reddy, R., Gupta, U., Kale, I.R., Shastri, A.S., 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(4), 376

10. Jain D.K., Qamar, S., Sangwan, S. R., Ding, W., Kulkarni, A.J. (2024): Ontology based Natural Language Processing for Sentimental Knowledge analysis Using Deep Learning Architectures, ACM Transactions on Asian and Low-Resource Language Information Processing, 23(1), pp 1-17 (IF: 2.0)

11. Kashan A.H., Karimiyan, S., Kulkarni, A.J. (2024): Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators’ effectiveness, Soft Computing, 28, pp 1073-1125 (IF: 3.1), (DOI: 10.1007/s00500-023-09151-3)

12. Nargundkar, A., Kulkarni, A.J. (2023): Application of Cohort Intelligence Algorithm for Goal Programming Problems with Improved Constraint Handling Method, International Journal of Bio-Inspired Computation, 21(2), pp 94-105 (IF: 3.5)

13. Reddy, R., Kulkarni, A.J., Shastri, A.S., Krishnasamy, G., Gandomi, A.H. (2023): LAB: A Leader-Advocate-Believer based Optimization Algorithm, Soft Computing, 27, pp 7209–7243 (IF: 3.1)

14. Marak, Z.R., Ambarkhane, D., Kulkarni, A.J. (2022): Application of Artificial Neural Network Model in Predicting Profitability of Indian Banks, International Journal of Knowledge-Based and Intelligent Engineering Systems, 26(3), pp 159-173 (IF: 0.7)

15. कुलकर्णी आ.ज.: आर्टिफिशिअल इंटेलिएजन्सच्या वाटेवर, सकाळ पब्लिकेशन्स, जुलै १६, २०२२"

Google Scholar link : https://scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en

Scopus link : https://www.scopus.com/authid/detail.uri?authorId=57212664439

ORCID link : orcid.org/0000-0001-6242-9492