Anand J Kulkarni

PhD, MASc, BEng, DME

Chairman: Optimization and Agent Technology Research (OAT Research) Lab

Email: anandmasc@gmail.com; kulk0003@{ntu.edu.sg; outlook.com}

ResearcherID: www.researcherid.com/rid/O-3585-2016

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

Google Scholar

Areas of Interest:

Optimization Algorithms (Constrained), Multi-objective Optimization, Continuous, Discrete and Combinatorial Optimization, Multi-Agent Systems, Complex Systems, Cohort Intelligence, Probability Collectives, Genetic Algorithms, Swarm Optimization, Artificial Neural Networks, Nash Equilibrium, Game Theory, Graph Theory, Computational Geometry, Numerical Methods, Fault-tolerant and Self-healing Systems, Self-organizing Systems

Career Snapshot

• Over 18 years of Research and Academic experience

• Research Fellow on the Cross border Supply Chain Management Project at Odette School of Business, University of Windsor, Canada

• Founder and Chair of Optimization and Agent Technology Research (OAT Research) Lab: An International Research Organization

• Developed Distributed Optimization Software

Education

2007-2012    PhD (Mechanical and Aerospace Engineering) Nanyang Technological University,   Singapore

Thesis: A Distributed Multi-agent System Approach for Solving Constrained Optimization Problems using Probability Collectives

2004-2006    Master of Applied Science (MASc) (Industrial Systems Engineering) from University of Regina, SK, Canada

Thesis: Optimization of Connection Weights of Artificial Neural Networks through Layer Partition and Genetic Algorithms

Professional Work Experience

June 2021- till date: Professor & Associate Director of Institute of Artificial Intelligence at MITWPU, Pune, MH, India

March 2016-May 2021: Associate Professor at Symbiosis International University, Pune, MH, India

2014-Feb 2016: Assistant Professor at Symbiosis Institute of Technology ,Pune, MH, India

2012-till date: Chairman of OAT Research Lab

2013-2014: Research Fellow at Odette School of Business, University of Windsor, Canada

2011-2013: Assistant Professor at Maharashtra Institute of Technology, Pune, MH, India

2013-till date: Vice President of Central India Alumni Association: Nanyang Technological University, Singapore

2012-2013: Managing Editor Int' J' of Computer Information Systems and Industrial Management Applications (IJCISIM)

2006-2007: Lecturer with Pune University, MH, India

2003-2004: Production Engineer with Poona Couplings Pvt. Ltd., Pune, MH, India

2002-2003: System Engineer with Yantra Automation, Pune, MH, India

2008-2011: Teaching Assistant with the Faculty of Mechanical and Aerospace Eng, Nanyang Technological University, Singapore

2005-2006: Teaching Assistant with the Faculty of Industrial Systems Engineering, University of Regina, SK, Canada

2004-2006: Research Assistant with the Faculty of Industrial Systems Engineering, University of Regina, SK, Canada

1. Kale, I.R., Kulkarni, A.J.: Constraint Handling in Cohort Intelligence Algorithm, CRC Press/Routledge (Taylor and Francis), 

In Press (2022)

2. Shastri, A.S., Nargundkar, A., Kulkarni, A.J.: “Socio-inspired Optimization of Advanced Manufacturing Processes”, Springer Series in Advanced Manufacturing, (2021) (Link)

 3. Sarmah, D., Kulkarni, A.J., Abraham, A.: “Optimization Models in Steganography Using Metaheuristics”, Intelligent Systems Reference Library, 187, (2020) Springer (Link)

4. Kulkarni, A.J., Krishnasamy, G., Abraham, A.: “Cohort Intelligence: A Socio-inspired Optimization Method” Intelligent Systems Reference Library, 114 (2017) Springer (Link)

 5. Kulkarni, A.J., Tai, K., Abraham, A.: “Probability Collectives: A Distributed Multi-Agent System Approach for Optimization”, Intelligent Systems Reference Library, 86 (2015) Springer (Link)

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

In Press (2022)

2. Shah, P., Ravi, S., Kulkarni, A.J., Siarry, P.: Metaheuristic Algorithms in Industry 4.0, CRC Press/Routledge (Taylor and Francis), (2021) (DOI: 10.1201/978-1-003-14350-5) (ISBN 978-036-769-839-3)

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

4. Kulkarni, A.J., Mezura-Montes, E., Wong, Y., Gandomi, A.H., Krishnasamy, G.: Constraint Handling in Metaheuristics and Applications, (2021), Springer, (DOI: 10.1007/978-981-33-6710-4), (ISBN: 978-981-336-710-4)

5. Kulkarni, A.J., Satapathy S.C.: Optimization in Machine Learning and Applications, Algorithms for Intelligent Systems, (2020), Springer, (DOI: 10.1007/978-981-15-0994-0), (ISBN: 978-981-15-0994-0)

6. Kulkarni, A.J., Siarry, P., Singh, P.K., Abraham, A., Zhang, M., Zomaya, A., Baki, F.: Big Data Analytics in Healthcare, Studies in Big Data, 66 (2020), Springer, (DOI: 10.1007/978-3-030-31672-3), (ISBN: 978-3-030-31672-3)

7. Kulkarni, A.J., Singh, P.K., Satapathy, S.C., Ali, H.K., Tai, K.: Socio-cultural Inspired Metaheuristics, Studies in Computational Intelligence, 828 (2019) Springer, (DOI: 10.1007/978-981-13-6569-0), (ISBN: 978-981-13-6569-0)

8. Kulkarni, A.J., Satapathy, S.C., Ali, K., Tai, K.: "Proceedings of the International Conference on Data Engineering and Communication Technology", Advances in Intelligent Systems and Computing, 828 (2019) Springer, (DOI: 10.1007/978-981-13-1610-4), (ISBN: 978-981-13-1610-4)

9. Sushil, Singh, T.P., Kulkarni, A.J. Eds (2017): “Flexibility in Resource Management”, Flexible Systems Management, Springer (Link)

Journal Papers

2021

1. Kale, I.R., 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, (In Press: Complex and Intelligent Systems, Springer) (TR IF: 3.791)

2. Shastri, A.S., Nargundkar, A., Kulkarni, A.J. Benedicenti, L. (2021): Optimization of Process Parameters for Turning of Titanium Alloy (Grade II) in MQL Environment using Multi-CI Algorithm, SN Applied Sciences, 3(2), pp 1-12

2020

3. Bannur P., Gujrathi, P., Jain, K., Kulkarni, A.J. (2020): Application of Swarm Robotic System in a Dynamic Environment using Cohort Intelligence, Soft Computing Letters, 2,  100006

4. Patil, M.V., Kulkarni, A.J. (2020): Pareto Dominance based Multiobjective Cohort Intelligence Algorithm, Information Sciences, 538, pp 69-118 (TR IF: 5.910)

5. Shastri, A.S., Nargundkar, A., Kulkarni, A.J. (2020): Multi-Cohort Intelligence Algorithm for solving Advanced Manufacturing Process Problems, Neural Computing and Applications, 32, pp  15055-15075 (TR IF: 4.774)

2019

6. Iyer, V.H., Mahesh, S., Malpani, R., Sapre, M.S., Kulkarni, A.J. (2019): Adaptive Range Genetic Algorithm: A Hybrid Optimization Approach and its Application in the Design and Economic Optimization of Shell-and-Tube Heat Exchanger, Engineering Applications of Artificial Intelligence, 85, pp 441-461 (TR IF: 3.526)

7. Sarmah, D., Kulkarni, A.J. (2019): Improved Cohort Intelligence-a High Capacity, Swift and Secure Approach on JPEG image Steganography, Journal of Information Security and Applications, 45, pp 90-106, (TR IF: 1.532)

2018

8. Sapre, M.S. Kulkarni, A.J., Chettiar, L., Deshpande, I. Piprikar, B. (2018): Mesh Smoothing of Complex Geometry using Variations of Cohort Intelligence Algorithm (In press: Evolutionary Intelligence)

9. Shastri, A.S., Kulkarni, A.J. (2018): Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology, International Journal of Parallel, Emergent and Distributed Systems, 33(6), pp 675-715 (TR IF: 0.550)

10. Sarmah, D., Kulkarni, A.J. (2018): “JPEG based Steganography Methods using Cohort Intelligence with Cognitive Computing and Modified Multi Random Start Local Search Optimization Algorithms”, Information Sciences, 430-431, PP 378-396 (TR IF: 4.305)

11. Kumar, M., Kulkarni, A.J., Satapathy, S.C. (2018): “Socio Evolution & Learning Optimization Algorithm: A Socio-inspired Optimization Methodology”, Future Generation Computer Systems, 81, pp 252-272 (TR IF: 4.639)

12. Sarmah, D., Kulkarni, A.J. (2018): “Image Steganography Capacity Improvement using Cohort Intelligence and Modified Multi Random Start Local Search Methods”, Arabian Journal for Science and Engineering, 43(8), pp 3927–3950 (TR IF: 1.092)

13. Patankar, N.S., Kulkarni, A.J. (2018): "Variations of Cohort Intelligence", Soft Computing 22(6), pp 1731-1747 (TR IF: 2.367)

2017

14. Chang, W.L., Kanesan, J., Kulkarni A.J., Ramiah, H. (2017): “Data clustering using seed disperser ant algorithm”, Turkish Journal of Electrical Engineering & Computer Sciences, Vol 2017(25), pp 4522-4532  (TR IF: 0.578)

15. 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, 33(6), pp 627-662 (TR IF: 0.550)

16. Shah, P., Agashe, S., Kulkarni, A.J. (2018): “Design of Fractional PID Controller using Cohort Intelligence Method”, Frontiers of Information Technology & Electronic Engineering, 19(3), pp 437–445 (TR IF: 0.910)

17. 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 (TR IF: 4.213)

2016

18. Kulkarni, O., Kulkarni, N., Kulkarni, A.J., Kakandikar, G. (2016): “Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design” International Journal of Parallel, Emergent and Distributed Systems, 33(6), pp 570-588 (TR IF: 0.550)

19. Teo, T.H., Kulkarni, A.J., Kanesan, J., Chuah, J.H., Abraham, A. (2017): "Ideology Algorithm: A Socio-inspired Optimization Methodology”, Neural Computing and Applications, 28(1), pp 845-876 (TR IF: 4.213)

20. Kulkarni, A.J., Kale, I.R., 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

21. Kulkarni, A.J., Shabir, H. (2016): “Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm”. International Journal of Machine Learning and Cybernetics, 7(3), pp 427-441 (TR IF: 2.692)

22. Kulkarni, A.J., Baki, M.F., “Chaouch, B.A. (2016): “Application of the Cohort-Intelligence Optimization Method to Three Selected Combinatorial Optimization Problems”, European Journal of Operational Research, 250(2), pp 427-447 (TR IF: 3.428)

23. Kulkarni, A.J., Patankar, N.S., Tai, K. (2016) “Constraint Handling in Probability Collectives using A Modified Feasibility-based Rule”, International Journal of Computational Science and Engineering, 13(4), pp 303-321

2014

24. Patankar, N.S., Kulkarni, A.J., Tai, K., Ghate, T.D, Parvate, A.R. (2014): "Multi-criteria Probability Collectives", International Journal of Bio-Inspired Computation, 6(6), pp 369-383 (TR IF: 2.266)

25. Krishnasamy, G., Kulkarni A.J., Paramesaran, R. (2014): “A hybrid approach for data clustering based on modified cohort intelligence and K-means”, Expert Systems with Applications, 41(13), pp 6009-6016 (TR IF: 3.768)

2012

26. Azad, S.K., Azad, S.K., Kulkarni, A.J. (2012) “Structural Optimization using a Mutation-based Genetic Algorithm”, International Journal of Optimization in Civil Engineering, 2(1), pp 80-100

27. Kulkarni, A.J. and Tai, K. (2011) “Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach”, International Journal of Computational Intelligence and Applications, 10(4), pp 445-470

2011

28. Kulkarni, A.J. and Tai, K. (2011) “A Probability Collectives Approach with a Feasibility-based Rule for Constrained Optimization”, Applied Computational Intelligence and Soft Computing, Vol. 2011, Article ID 980216

2010

29. Kulkarni, A.J. and Mayorga, R.V. (2010) "Artificial Neural Network Optimization using Layer Partition and Genetic Algorithms along with Statistical Analysis", Computational Intelligence Research, 6 (1), pp 77-87

30. Kulkarni, A.J. and Tai, K. (2010) "Probability Collectives: A Multi-Agent Approach for Solving Combinatorial Optimization Problems", Applied Soft Computing, 10(3), pp 759-771 (TR IF: 3.907) 

Book Chapters

1. Krishnasamy, G., Kulkarni, A.J., Shastri, A.S., (2021): An improved Cohort Intelligence with Panoptic Learning Behavior for solving constrained problems, in Kulkarni, A.J., Mezura-Montes, E., Wong, Y., Gandomi, A.H., Krishnasamy, G. (Eds), in Constraint Handling in Metaheuristics and Applications, Springer, pp 29-54

2. Kumar, M., Kulkarni, A.J., Satapathy, S.C. (2020): “A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and Cohort Intelligence”, in Kulkarni, A.J., Satapathy, S.C. (Eds.), in Optimization in Machine Learning and Applications, Algorithms for Intelligent Systems, Springer, pp 113-126

3. Kulkarni, A.J., Nargundkar, A. (2020): ‘Big Data in Supply Chain Management and Medicinal Domain’, in Kulkarni, A.J., Siarry, P., Singh, P.K., Abraham, A., Zhang, M., Zomaya, A., Baki, F.: Big Data Analytics in Healthcare, Studies in Big Data, Vol 66, Springer, pp 45-54

4. Roychowdhury, P., Mehra, S., Devarakonda, R., Shrivastava, P., Basu, S., Kulkarni, A.J. (2019): “A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algorithm”, 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 27-40

5. Marde, K. and Kulkarni, A.J. (2019): “Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm”, 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 1-25

6. Kale, I. 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

7. Shah, P. and Kulkarni, A.J. (2019): “Application of Variations of Cohort Intelligence in Designing Fractional PID Controller for Various Systems”, 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 175-192

8. Shastri, A.S., Jagetia, A., Sehgal, A., Patel, M., Kulkarni, A.J. (2019): “Expectation Algorithm (ExA): A Socio-inspired Optimization Methodology”, 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 193-214

9. Kumar, M. and Kulkarni, A.J. (2019): “Socio-inspired Optimization Metaheuristics: A Review”, 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 241-265

10. Kulkarni, A.J. and Tai, K. (2013): “A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure”, in Czarnowski, I, Jedrzejowicz, P. and Kacprzyk J. (Eds.), Agent Based Optimization, Studies in Computational Intelligence, Vol 456, Springer, pp 175-201

11. Kulkarni, A.J. and Tai, K. (2009): "Probability Collectives: A Decentralized, Distributed Optimization for Multi-Agent Systems", in J. Mehnen, M. Koeppen, A. Saad, A Tiwari (Eds.), Advances in Intelligent and Soft Computing, Applications of Soft Computing, Vol 58, Springer, pp 441-450

Conference Papers

1. Shastri, A.S., Nargundkar, A., Kulkarni, A.J. (2021): Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems, Intelligent Data Engineering and Analytics, Satapathy, S., Zhang, Y.D., Bhateja, V., Majhi, R. (Eds), Springer, Vol 1177, pp 145-153

2. Shastri, A.S., Thorat, E.V., Kulkarni, A.J., Jadhav, P.S. (2019): Optimization of Constrained Engineering Design Problems using Cohort Intelligence Method, Advances in Intelligent and Soft Computing, Kulkarni, A.J., Satapathy, S.C., Tai, K., Kashan, A.H. (Eds), Springer, Vol 828, pp. 1-11

3. Sapre, S.M., Kulkarni, A.J., Shinde, S.S. (2019): Finite Element Mesh Smoothing Using Cohort Intelligence, Advances in Intelligent and Soft Computing, Kulkarni, A.J., Satapathy, S.C., Tai, K., Kashan, A.H. (Eds), Springer, Vol 828, pp 469-480

4. Gaikwad, S., Joshi, R., Kulkarni, A.J. (2016): “Cohort Intelligence and Genetic Algorithm along with Modified Analytical Hierarchy Process to Recommend an Ice Cream to a Diabetic Patient”, Advances in Intelligent and Soft Computing, Satapathy, S.C., Bhateja, V. Joshi, A. (Eds), Springer, Vol 468, pp. 279-288

5. Gaikwad, S., Joshi, R., Kulkarni, A.J. (2015): “Cohort Intelligence and Genetic Algorithm along with AHP to recommend an Ice Cream to a Diabetic Patient”, Lecture Notes in Computer Science, Vol 9873, Springer, pp. 40-49

6. Shastri, A.S., Jadhav, P.S., Kulkarni, A.J., Abraham, A. (2016): “Solution to Constrained Test Problems using Cohort Intelligence Algorithm”, Advances in Intelligent and Soft Computing, Vol 424, Springer, pp. 427-435

7. Chang, W.L., Kanesan, J., Kulkarni, A.J. (2015): “Seed Disperser Ant Algorithm: Ant Evolutionary Approach for Optimization”, Lecture Notes in Computer Science, Vol 9028, Springer, pp. 643-654 

8. Metkar, S.J., Kulkarni, A.J. (2014): “Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems”, in Advances in Intelligent and Soft Computing, Satapathy, S.C., Biswal, B.N., Udgata, S.K. (Eds), Vol 247, Springer, pp. 269-276

9. Kulkarni, A.J., Baki, F., Chaouch, B. (2014): A New Variant of the Assignment Problem: Application, NP-hardness and Algorithms, Optimization Days, Montreal, Canada, May 5-7, 2014

10. Kulkarni, A.J., Durugkar I.P., Kumar M. (2013): “Cohort Intelligence: A Self Supervised Learning Behavior”, in Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Manchester, UK, 13-16 October 2013, pp. 1396-1400

11. Deshpande, A.M., Phatnani G.M., Kulkarni, A.J. (2013): “Constraint Handling in Firefly Algorithm”, in Proceedings of IEEE International Conference on Cybernetics, Lausanne, Switzerland, 13-15 June 2013, pp. 186-190

12. 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

13. 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

14. Kulkarni, A.J., Tai, K., Patankar, N.S., Amani, S. (2012) “A Modified Feasibility-based Rule For Solving Constrained Optimization Problems Using Probability Collectives”, in Proceedings of IEEE Hybrid Intelligent Systems (HIS 2012), Pune, India, 04-07 December 2012, pp. 213-218

15. Kulkarni, A.J. and Tai, K. (2010) “Probability Collectives: A Distributed Optimization Approach for Constrained Problems”, in Proceedings of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, 18-23 July 2010, pp. 3844-3851

16. Kulkarni, A.J. (2010) "A Probability Collectives Approach for Distributed Optimization of Complex Systems", in Proceedings of the 'Doctoral Consortium' of 2010 IEEE International Conference on Networking, Sensing and Control (ICNSC 2010), Chicago, USA, 10-12 April 2010

17. Kulkarni, A.J. and Tai, K. (2008) "Probability Collectives: A Decentralized, Distributed Optimization for Multi-Agent Systems", in Proceedings of the 2008 Online World Conference on Soft Computing in Industrial Applications (WSC 2008), 10-21 November 2008, paper no. 098

18. Kulkarni, A.J. and Tai, K. (2008) "Probability Collectives for Decentralized, Distributed Optimization: A Collective Intelligence Approach", in Proceedings of the 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15 October 2008, pp. 1271-1275

19. Kulkarni A.J. and Mayorga, R.V. (2008) "Optimizing Artificial Neural Networks through Layer Partition and Genetic Algorithms", in Proceedings of the 2008 SCIS & ISIS, Nagoya, Japan, 17-21 September 2008, pp. 76-81

20. Kulkarni, A.J. and Mayorga, R.V. (2005) "The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm", in Proceedings of the 2nd Indian International Conference on Artificial Intelligence (IICAI 2005), Pune, India, 20-22 December 2005, pp. 3323-3336

Workshops and Others

1.    Kulkarni, A.J. and Tai, K. (2012) ‘Probability Collectives: A Distributed Multi-Agent System Approach for Optimization of Complex Systems’ at IEEE Hybrid Intelligent Systems (HIS 2012), Pune, India, Dec’ 05, 2012

2.    Kulkarni, A.J. and Tai, K. (2010) "Probability Collectives: A Decentralized, Distributed Optimization of Complex Systems - II", in Graduate Student Workshop, Jointly Organized by IEEE Power & Eng. Society and IEEE Industry Applications / Power Electronics         Joint Chapter, National University of Singapore, 19 October 2010

3.    Kulkarni, A.J. and Tai, K. (2009) “Probability Collectives for Distributed, Decentralized Optimization of Complex Systems”, in Interdisciplinary Conference on Adaptation, Order and Emergence- A Tribute to Dr. John Holland, (Poster Presentation), Nanyang Technological  University, Singapore, February 12, 2009

4.    Kulkarni, A.J. and Kulkarni, S.P. (2002) “Advanced Trends in Production Technology”, in Proceedings of Quantum-2002, National Level Technical Symposium, Shivaji University, MH, India, March 26-27, 2002

5.    Kulkarni, A.J. and Hiremath, P.G. (2000) “Pollution Reducer for Stationary Diesel Engines”, in Proceedings of Vision-2000, 12th National Level Technical Meet, Shivaji University, MH, India, February 25-27, 2000

6.    Kulkarni, A.J. and Gangapure, A.T. (2000) “Smart Sensors in Hydro-Electric Power Station”, in Proceedings of Technoglimpse-2000, 4th State Level Paper Technical Symposium, Shivaji University, MH, India, March 2, 2000

Fellowships/Scholarships/Awards

• Cross-border (USA-CANADA) Institute Fellowship from Nov’ 2013-Nov’ 2014

• Graduate Research Scholarship awarded from Aug’ 2007-Aug’ 2011

• IEEE SMC Conference Grant awarded by ‘IEEE SMC’ for the International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15 Oct’ 2008

• ‘Best Research Proposal’ Award at the PhD Consortium ‘IEEE ICNSC’ at Chicago 10-12 Apr’ 2010

• NTU Student Oversea Travel Grant awarded for PhD Consortium held in conjunction with ‘IEEE ICNSC’ at Chicago 10-12 Apr’ 2010

• ICNSC Doctoral Consortium Grant awarded by ‘IEEE ICNSC’ for the PhD Consortium held in conjunction with ‘IEEE ICNSC’ at Chicago 10-12 Apr’ 2010 

Research Students

• PhD: Three (3) Completed; Three (3) Ongoing

• Master’s: Five (5) Completed

• Bachelor’s: Forty five (45) Completed 

• Research Associates: One (1)

Professional Activities

• Founder and Chair: Optimization and Agent Technology (OAT) Research Lab: An International Research Organization

• Managing Editor (Feb’ 2012 – May 2013): International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)

• Conference General Secretariat: 15th Global Conference on Flexible Systems Management, Symbiosis International University, Pune, India, October 23 – 25, 2015

• Vice President: Central India Alumni Association: Nanyang Technological University, Singapore

Special Session Chair

• Special Session on 'Socio Inspired Optimization Algorithms', 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015), Kochi, India

• Special Session on 'Big data Analytics using Nature Inspired Algorithms' at 2015 IEEE Systems, Man and Cybernetics (IEEE SMC 2015), Hong Kong

• Special Session on ‘Swarm Intelligence in Transportation’ at 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014), Singapore

• Special Session on 'Distributed Optimization and Collective Intelligence' at 2013 IEEE Systems, Man and Cybernetics (IEEE SMC 2013), Manchester, UK

• Special Session on ‘Soft Computing’ at 2013 IEEE International Conference on Cybernetics (IEEE CYBCONF 2013), Lausanne, Switzerland

• Special Session on 'Distributed Optimization and Collective Intelligence' at 2013 IEEE Congress on Evolutionary Computation (IEEE CEC 2013), Cancun, Mexico

• Special Session on ‘Multi-agent Systems in Optimization’ at 12th IEEE Hybrid Intelligent Systems (IEEE HIS 2012),Pune, India

General Chair/Secretariat

• 2nd International Conference on Data Engineering and Communication Technology (ICDECT 17), Symbiosis International University Pune, India, December 15 & 16, 2017 

• 15th Global Conference on Flexible Systems Management (GLOGIFT 15), Symbiosis International University Pune, India, October 23–25, 2015

Research Talks/Visits

• Keynote Speaker at E-Tonomy 2019, Les Mureaux, France, Oct 9-10, 2019 (A Cohort Intelligence based Cobotics for helping Disabled People for Swimming and Rescue) 

• Symbiosis International (Deemed University), Pune, March 25-29, 2019 (Faculty Development Program on Optimization Techniques and Computational Intelligence)

• Rajarambapu Inst of Tech, Sangli, April 16, 2018 (Basics of Optimization)

• Sinhgad College of Eng, Pune, January 9, 2018 (Basics of Optimization)

• Rajarambapu Inst of Tech, Sangli, November 23, 2017 (Socio-inspired Optimization Methods and Apps)

• Vishwakarma Inst of Info Tech, Pune, October 24, 2017 (Socio-inspired Optimization Methods)

• Optimization in Industry (2017) VIIT, India (June 05, 2017)

• PVP Siddhartha Institute of Technology, April 24-28, 2017, (Computational Intelligence & its Applications in Science and Engineering)

• University of Pune, India, (Workshop on Optimization Techniques with Research Perspective), Dec’ 24, 2016 (Socio-inspired Optimization Methods)

• 6th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, Kochi, India, Dec’ 17, 2015 (Introduction to Cohort Intelligence)

• Symbiosis International University, Oct’ 21, 2015 (Quantitative Methods)

• Symbiosis International University, Sep’ 15, 2015 (Encouraging Research and Writing)

• University of Malaya, Malaysia, July 01-11, 2015 (Cohort Intelligence and Recent Developments)

• University of Pune, India, (International Workshop on Advances in Optimization), Jan 30, 2015, (Distributed Optimization and Swarm Intelligence)

• University of Pune, India, (Design of Experiments and  Optimization Techniques), June 04, 2015 (Probability Collectives and Cohort Intelligence)

• University of Malaya, Malaysia, Dec’ 12-22, 2014 (Distributed Optimization)

• University of Windsor, Canada, April 17, 2014 (Distributed Optimization and Swarm Intelligence)

• University of Malaya, Malaysia, July 22-26, 2013 (Development in Distributed and Decentralized Optimization)

Reviewer:

Book: 

• Elsevier Book: Mechanics and Design for Product Life Prediction

• CRC Press: Nature Inspired Optimization in Manufacturing Processes and Systems

Journals:

• Neurocomputing (Elsevier)

• European Journal of Operational Research (Elsevier)

• Applied Soft Computing (Elsevier)

• International Journal of Electrical Power and Energy Systems (Elsevier)

• Information Sciences (Elsevier)

• Expert Systems with Applications (Elsevier)

• Signal Processing: Image Communication (Elsevier)

• Scientia Iranica (Elsevier)

• Neural Computing and Applications (Springer)

• Structural and Multidisciplinary Optimization (Springer)

• Soft Computing (Springer)

• Journal of Zhejiang University SCIENCE C (Springer)

• Arabian Journal of Science and Engineering (Springer)

• Computational Intelligence (Wiley)

• Engineering Optimization (Taylor and Francis)

• IEEE Transactions on Cybernetics (IEEE)

• IEEE Access (IEEE)

• Structural Engineering and Mechanics (Techno Press)

• Journal of Mechanical Engineering Science (Sage)

• International Journal of Bioinspired Computations (Inderscience)

• International Journal of Information Technology & Decision Making (World Scientific)

• Part C: Journal of Mechanical Engineering Science

• Algorithms (MDPI AG)

• Computers (MDPI AG)

• Sustainability (MDPI AG)

• International Journal of Intelligent Computing and Cybernetics (Emerald)

Conferences:

IEEE CEC 2019 (Wellington New Zealand), ICDECT 2017 (Pune, India), IEEE SMC 2017, IEEE CEC 2017, IBICA 2016, NaBIC 2016, WICT 2016, ISDA 2016, ICAART, 2017 (Porto, Portugal), IEEE SMC 2016 (Budapest, Hungary), IEEE IJCNN 2016 (Vancouver, Canada), IEEE WCCI 2016 (Vancouver, Canada), IBICA 2015 (Kochi, India), IEEE IJCNN 2015 (Killarney, Ireland); IEEE IJCNN 2014 (Beijing, China); IEEE IJCNN 2013 (Dallas, USA); IJCNN 2012 (Brisbane, Australia); KEOD 2015 (Lisbon, Portugal), IEEE CEC 2015 (Sendai, Japan), SCDM 2015 (Malacca, Malaysia), IEEE SSCI 2014 (Orlando, USA), IEEE ISDA 2014 (Okinawa, Japan), IEEE SMC 2014 (San Diego, USA); KEOD 2014 (Rome, Italy); IEEE CEC 2014 (Beijing, China); KEOD 2013 (Vilamoura, Algarve, Portugal); IEEE SMC 2013 (Manchester, UK); IEEE CYBCONF 2013 (Lausanne, Switzerland); IEEE CEC 2013 (Cancun, Mexico); IEEEWICT 2012 (Trivandrum, India); IEEE HIS 2012 (Pune, India); 2011 (San Jose, USA); IEEE CEC 2011 (New Orleans, USA); FLAIRS-24 2011 (Florida, USA); IEEE WCCI 2010 (Barcelona, SPAIN)

Program Committee Member

HIS 2016, IBICA 2016, NaBIC 2016, WICT 2016, ISDA 2016, ICAART, 2017 (Porto, Portugal), IEEE SMC 2016 (Budapest, Hungary), IEEE IJCNN 2016 (Vancouver, Canada), IEEE WCCI 2016 (Vancouver, Canada), IBICA 2015 (Kochi, India), IES 2015 (Bangkok, Thailand), KEOD 2015 (Lisbon, Portugal), KEOD 2014 (Rome, Italy), KEOD 2013 (Vilamoura, Portugal), IEEE SMC 2014 (San Diego, USA), IEEE SMC 2013 (Manchester, UK), IEEE ISDA 2014 (Okinawa, Japan), IEEE SoCPaR 2014 (Tunis, Tunisia), IES 2014 (Singapore), IEEE WICT 2014 (Melaka, Malaysia), IEEE WICT 2013 (Hanoi, Vietnam), IEEE WICT 2012 (Trivandrum, India), IEEE NaBIC 2014 (Porto, Portugal), IEEE CASoN 2014 (Porto, Portugal), IEEE CEC 2014 (Beijing, China), IEEE CYBCONF (Lausanne, Switzerland), FLAIRS-24 2011 (Palm Beach, Florida, USA)

Technical/Scientific Committee Member

• IEEE SMC Society Technical Committee on Soft Computing

• Special Session on 'Distributed Optimization and Collective Intelligence' at 2013 IEEE Systems, Man and Cybernetics (IEEE SMC 2013), Manchester, UK

• Special Session on 'Distributed Optimization and Collective Intelligence' at 2013 IEEE Congress on Evolutionary Computation (IEEE CEC 2013), Cancun, Mexico

• Special Session on ‘Multi-agent Systems in Optimization’ at 12th IEEE Hybrid Intelligent Systems (IEEE HIS 2012), Pune, India

• International Student Competition in Structural Optimization (ISCSO 2015, 2014, 2013, 2012, 2011) 

Referee for Competitions/Quizzes

• ICSDP (2019), MAE Pune (Nov 15, 2019)

• IET PATW (2017) VIIT, Pune University, India (April 01, 2017)

• AYATIST (2015): B J Medical College, Pune, India (Aug 29, 2015)

• DIPEX (2013): A State Research Project Exhibition cum Competition, Pune, India

• National Technical Competition (Axelerate 2013, 2012, 2007), Maharashtra Inst. of Tech. Pune, India

Professional & Student Memberships

• Member of IEEE Communications Society

• Member of the ‘Young Researcher Committee’ for World Federation of Soft Computing (WFSC)

• Member of the International Association of Engineers (IAENG)

• Assoc. Member of International Society for Structural and Multidisciplinary Optimization (ISSMO)

• Member of Machine Intelligence Research Labs (MIR Labs) USA 

Computer Skills

MATLAB, AMPL

Part Time Experience

2004-2006  Chef with ARAMARK Food Services at University of Regina, SK, Canada

               Survey of the International People and Marketing of the International Food at the University

                Cook for Athletes at Canada Summer Games 2005

Last updated on December 8, 2021