Optimization Methods in VLSI Design: A Machine-Generated Literature Overview
暫譯: VLSI 設計中的優化方法：機器生成的文獻概述

Apoorva S Shastri holds a Ph.D. in Optimization Algorithms and Applications from Symbiosis International (Deemed to be) University, M. Tech in VLSI Design, and B.Tech. in Electronics & Product Design Technology from R.T.M.N.U, Nagpur. She has also earned a Diploma from the Govt. Polytechnic, Nagpur. She worked as a guest faculty at the Centre for Development of Advanced Computing (C-DAC), Pune. Currently, she is a Research Assistant Professor at the 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 and expectation algorithm. Dr. Shastri has published several research papers in peer-reviewed journals, chapters, and conferences.

Apoorva S Shastri 擁有來自 Symbiosis International (Deemed to be) University 的優化演算法與應用博士學位，並在 R.T.M.N.U, Nagpur 獲得 VLSI 設計的碩士學位及電子與產品設計技術的學士學位。她還獲得了來自 Nagpur 政府理工學院的文憑。她曾在普納的高級計算發展中心 (C-DAC) 擔任客座講師。目前，她是印度普納 MITWPU 人工智慧研究所的研究助理教授。她的研究興趣包括優化演算法、VLSI 設計、多目標優化、連續、離散及組合優化、複雜系統、製造及自組織系統。Apoorva 開發了社會啟發的優化方法論，如多群體智慧演算法和期望演算法。Shastri 博士在同行評審的期刊、章節和會議上發表了多篇研究論文。