Academics
Faculty
Dr. Aproova ShastriAssistant Professor

Bio
Dr Apoorva S Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University), Master of Technology (M.Tech) in VLSI Design and Bachelor of Engineering in Electronics & Product Design Technology from R.T.M.N.U, Nagpur. She has also done Diploma from the Govt. Polytechnic, Nagpur. She worked as a guest faculty at Centre for Development of Advanced Computing (C-DAC), Pune. Currently, she is a Research Assistant Professor at Institute of Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems. Apoorva developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm, Expectation Algorithm and LAB Algorithm, and Snail Homing and Mating Search Algorithm. She is the recipient of the best paper award in ICISA 2024, Pune, India. Apoorva has published several research papers in peer reviewed journals, chapters, and conferences along with 1 authored and 4 edited books. She is a regular reviewer of different journals of Elsevier and Springer. She has also served as session chair for few international conferences.
Research Areas
Nature Inspired AI based Methods, Optimization
Publications
1. Machine Learning and Optimization for Engineering Design (Springer Book series: Engineering Optimization: Methods and Applications) (Dec 2023)
2. Metaheuristics for Enterprise Data Intelligence (Taylor and Francis Book Series: Advances in Metaheuristics) (Aug 2024)
3. Intelligent Methods in Electrical Power Systems (Springer Book series: Engineering Optimization: Methods and Applications) (In Press: Upcoming 2024)
4. Singh, M., Singh, M., Ralhan, S., & Shastri, A. (2024) On the optimal multi-objective design of fractional order PID controller with antlion optimization. International Journal of Knowledge-based and Intelligent Engineering Systems, (In Press), 1-32.
5. Kulkarni, A. J., Kale, I. R., Shastri, A., & Khandekar, A. (2024). Snail Homing and Mating Search algorithm: a novel bio-inspired metaheuristic algorithm. Soft Computing, 1-40.
6. Reddy, R., Gupta, U., Kale, I. R., Shastri, A., & 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.
7. Reddy, R., Kulkarni, A.J, Shastri, A.S. et al. (2023): LAB: A Leader-Advocate-Believer Based Optimization Algorithm, Soft Computing, 1-35
8. Choudhary, V., Shastri, A., Silswal, S., & Kulkarni, A. (2024). A Comprehensive Review of Patient Scheduling Techniques with Uncertainty. Handbook of Formal Optimization, 1-21.)
9. Gala, I., Nargundkar, A.,Kulkarni, A.J., Shastri ,A.S. (2023): Solving Asset and Liability Management Problem using Cohort Intelligence and Goal Programming In: Kulkarni, A.J. (Eds) Optimization Methods for Product and System Design. Engineering Optimization: Methods and Applications. Springer