Pierre-Emmanuel Gaillardon is a Professor in the Department of Electrical & Computer Engineering and Adjunct Professor in the School of Computing at the University of Utah. He holds a joint appointment since July 2024, having previously served as Assistant Professor (2016–2019) and Adjunct Assistant Professor in Computing (2016–2019). His research focuses on FPGA design, VLSI systems, nanoelectronics, and hardware security. He leads projects in emerging devices like TIGFETs, compute-in-memory architectures, and radiation-hardened FPGA fabrics. Teaching includes courses on Digital VLSI Design, Embedded Systems Design, and thesis supervision. He has secured grants from NSF, DARPA, and industry partners totaling over $10M, addressing topics like FPGA redaction, neuromorphic systems, and environmental sensors. Notable awards include the NSF CAREER Award (2018) and IEEE Senior Member elevation (2016). He actively serves on IEEE committees for nanoelectronics and EDA tools, contributing to standards like OpenFPGA.
Vaibhav Srivastava is an Associate Professor in the Electrical and Computer Engineering Department at Michigan State University (MSU), with affiliations in Mechanical Engineering and the Cognitive Science Program. He holds a Ph.D. and M.A. from the University of California, Santa Barbara, and a BTech from the Indian Institute of Technology Bombay. His research focuses on Cyber-Physical Human Systems, including networked multi-agent systems, mathematical neuroscience, and autonomous robotics. He has held leadership roles in conferences like the American Control Conference and serves as an Associate Editor for the ASME Journal of Dynamical Systems and IEEE Open Journal of Control Systems. Education: Ph.D. in Mechanical Engineering, University of California, Santa Barbara (2012) M.A. in Statistics, University of California, Santa Barbara (2012) M.S. in Mechanical Engineering, University of California, Santa Barbara (2011) BTech in Mechanical Engineering, Indian Institute of Technology Bombay (2007) Research Interests: Prof. Srivastava’s work bridges human decision-making with engineering systems, emphasizing mixed human-robot teams, networked systems, and mathematical models of neural processes. His projects address challenges in autonomous vehicles, surveillance strategies, and collaborative robotics, supported by grants from NSF, ONR, and the Army Research Office. Recent Trends in Articles: His publications explore adaptive control strategies for UAVs, trust-aware autonomy, and multi-fidelity models for human-robot collaboration. Key themes include robust trajectory estimation, impedance tuning, and epidemic modeling in networked environments. Awards: Best Student Paper Award (coauthor), European Control Conference 2014 Grants & Advising: He has secured funding for projects on data-driven control and human-in-the-loop systems. His advising includes contributions to robotics and control theory, with a focus on interdisciplinary approaches combining cognitive science and engineering. Labs/Teams: Engaged in collaborative efforts across MSU’s College of Engineering, focusing on soft robotics, decision-making algorithms, and autonomy in dynamic environments.
Felipe Caro is a Professor of Decisions, Operations and Technology Management at UCLA Anderson School of Management, where he holds the Susan Wojcicki Chair in Data Science and Innovation. He serves as the Founder and Faculty Director of UCLA Anderson's MS in Business Analytics program and previously held the Bing and Alice Liu Yang Term Chair in Management (2020-2023). Caro has been at UCLA since 2005, progressing from Assistant Professor to Full Professor in 2018. His education includes a Ph.D. in Operations Management from MIT Sloan School of Management (2005) and Industrial Engineering and B.Sc. in Engineering from University of Chile, both with highest honors. Caro's research focuses on decisions under uncertainty with practical applications, particularly in retail operations, supply chain management, and business analytics. His work with Zara on inventory allocation models increased season sales by 3-4 percent for the Spanish apparel giant, earning him the Franz Edelman Laureate in 2009. Caro's research portfolio shows strong trends in omnichannel retailing, sustainable operations, and analytics adoption. His recent work examines online-to-offline integration, unauthorized subcontracting in apparel supply chains, and carbon abatement opportunities. He has developed mathematical models that address real-world challenges in fast fashion, with applications spanning retail operations, supply chain risk management, and sustainable practices. His publications in top journals like Management Science, Operations Research, and Manufacturing & Service Operations Management demonstrate both theoretical rigor and practical relevance. 2023 MSOM Society Award for Responsible Research in Operations Management 2020 La Force Award for Leadership 2019 Risk Analysis Best Paper Award 2014 ENRE Best Publication Award in Natural Resources 2013 ecch Production & Operations Management Award and New Case Writer Award 2009 Franz Edelman Laureate 2008 Deloitte Consulting Award for Management Field Study Achievement Caro has chaired PhD thesis committees for Anna Sáez de Tejada Cuenca and Christian Blanco, among others, and serves on numerous doctoral committees. He has received significant research funding through industry collaborations, particularly with Zara and other retail partners. His work on the Zara case study 'Staying Fast and Fresh' is widely taught in business schools globally. As an editorial leader, he serves as Department Editor for Manufacturing & Service Operations Management and Associate Editor for Management Science, shaping research directions in operations management.
Denis Denisov is a Senior Lecturer in the Department of Mathematics at the University of Manchester. His research focuses on Probability Theory, with a particular emphasis on Random Walks, Markov Chains, and Asymptotic Analysis. He has made significant contributions to the study of random walks in cones, boundary-crossing problems, and limit theorems for stochastic processes. Denis actively supervises postgraduate students, with a record of guiding six supervised works. His research explores topics such as harmonic measure in multidimensional gambler’s problems, Green functions for asymptotically stable random walks, and probabilistic approaches to risk processes with level-dependent premiums. His recent work includes studies on Markov chains in Brownian motion domains, Berry-Esseen inequalities for conditioned random walks, and expansions for conditioned random walks. These contributions highlight his expertise in advanced probability theory and its applications to stochastic processes. Denis is open to mentoring PhD students interested in probability, asymptotic methods, and stochastic modeling. His research has been published in high-impact journals such as the Annals of Probability and Transactions of the American Mathematical Society.
Frédéric Godin is an Associate Professor in the Department of Mathematics and Statistics at Concordia University, where he supervises graduate students in Mathematics and Statistics (MA, MSc, PhD) and actively accepts research inquiries. He earned his Ph.D. from HEC Montréal in 2014. Research Focus His work integrates advanced computational methods with financial and actuarial theory, spanning: Quantitative Finance : Option pricing, volatility modeling, and hedging strategies using machine learning Risk Management : Catastrophic risk assessment, portfolio optimization, and derivatives pricing Actuarial Science : Life insurance contract valuation and embedded guarantees Energy Markets : Electricity price forecasting and commodity derivatives Recent publications (2023-2025) demonstrate a strong emphasis on reinforcement learning applications in finance, particularly deep hedging frameworks and volatility surface modeling. Additional themes include climate-aware portfolio design and statistical methods for insurance risk. Academic Contributions As a thesis supervisor, he guides graduate research in mathematical finance and statistical modeling. No awards or grants were documented in available sources.
Rasoul Etesami is an Associate Professor in the Department of Industrial and Systems Engineering and holds affiliate appointments in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign . He earned his Ph.D. and M.Sc. degrees in Electrical and Computer Engineering from UIUC in 2015 and was a Postdoctoral Research Fellow at Princeton University (2016-2017). Education Ph.D. Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2015) M.Sc. Applied Mathematics, University of Illinois Urbana-Champaign (2015) M.Sc. Industrial and Systems Engineering, University of Illinois Urbana-Champaign (2012) Research Interests Dr. Etesami's work focuses on multiagent decision-making systems using tools from game theory, control theory, and optimization. His research spans networked control systems , dynamic games , distributed optimization , and cyber-physical security . He investigates social network dynamics and smart grid applications , with recent emphasis on federated learning and adversarial robustness in machine learning systems. Recent Publication Trends His 2024-2025 publications demonstrate expertise in: Dynamic games for social network influence and resource allocation Federated learning algorithms and poisoning attacks Optimization techniques for over-parameterized models and caching Control theory applications to smart grids and opinion dynamics Submodular optimization for social welfare maximization Bandit learning in constrained Colonel Blotto games Honors & Editorships NSF CAREER Award (2020) AFOSR Young Investigator Award (2023) James Franklin Sharp Teaching Award (2023) Associate Editor, IET Smart Grid (2018-2024) Conference chair/co-chair for AAAI, Allerton, and CDC events Academic Service Dr. Etesami actively participates in departmental governance as a member of: Faculty Hiring Committee Qualification Exam Committee Graduate Committee Research and Scholarly Enhancement Committee Seminar Chair Organizer
