Amit Bhaya

has a Bachelor of Technology (honours) in Electrical Engineering from Indian Institute of Technology, Kharagpur (1981), and Master's and Ph.D. degrees in Electrical Engineering from the University of California at Berkeley, obtained in 1984 and 1986, respectively. He is a full professor at the Federal University of Rio de Janeiro in Brazil, where he has worked in the area of control and systems theory and applications, with emphasis in the following areas: matrix stability theory, applications of switched and variable structure systems, stability of neural networks, mathematical ecology, parallel computation (asynchronous iterative methods), control perspectives on numerical methods, and, recently, optimization and control perspectives on problems arising in business and finance. He has co-authored, with Eugenius Kaszkurewicz, the books "Matrix Diagonal Stability in Systems and Computation" (Birkhauser/Springer 2000) , "Control Perspectives on Numerical Algorithms and Matrix Problems" (SIAM 2006) and "Business Dynamics Models: Optimization-Based One Step Ahead Optimal Control" (SIAM 2023). He held a research fellowship (level 1A), granted by the Brazilian National Council for Scientific and Technological Development (CNPq) till 2025 and is now a senior researcher (SR). His research has also been funded by the Brazilian Govt. agencies CAPES and FINEP. He has carried out several consultancy projects, in the broad areas of control and computation, for the Brazilian companies Petrobras and Eletrobras, as well as the multinational companies Dell-EMC, Siemens. He was an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, from Jan 2010 to Dec 2012. He was on the National Evaluation Committee of CNPq for Electrical Engineering (2020-2021). (Source: Lattes Curriculum)