جست‌وجوی استاد و پژوهشگر

Soummya Karمشاهده پروفایل

استاد

• Decision-Making in Large-Scale Networked Systems
• Stochastic Systems
• Multi-Agent Systems
• +۷ مورد دیگر

Soummya Kar is the Buhl Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU). He holds a Ph.D. (2010) and B.Tech (2005) in Electrical Engineering from CMU and IIT Kharagpur, respectively, and has been a Postdoctoral Research Associate at Princeton University (2010-2011). Research Interests: Decision-making in large-scale networked systems, stochastic systems, multi-agent control, and data science with applications in cyber-physical systems and smart energy grids. Scientific Awards: IEEE Fellow (2022) Dean’s Early Career Fellowship (2016) Wilton E. Scott Institute for Energy Innovation - Energy Fellow Recent Article Trends: His work focuses on distributed optimization, secure inference in sensor networks, smart grid resilience, and coded computing for fault tolerance, with keywords spanning Computer Science , Control Theory , and Energy Systems . Students & Team: He advises current and former Ph.D. students including Brian Swenson (Penn State), Javad Mohammadi (UT Austin), and Sergio Pequito (TU Delft), alongside postdoctoral researchers like Panayiotis Moutis. His research involves collaborations with labs such as CyLab Security and Privacy Institute and the Wilton E. Scott Institute for Energy Innovation.

Lorenzo Galeottiمشاهده پروفایل

پژوهشگر

• Mathematical Logic
• Computability Theory
• Set Theory
• +۳ مورد دیگر

Lorenzo Galeotti is a researcher affiliated with the University of Amsterdam, specifically working within the Mathematical & Computational Logic (MCL) group at Amsterdam University College. His research focuses on foundational aspects of mathematical logic, computability theory, and generalized analysis. Research Interests: Galeotti investigates topics at the intersection of logic, computability, and non-standard mathematical structures. His work includes studying transfinite computability, infinitary intuitionistic set theory, and the properties of generalized real numbers and non-Archimedean fields. He also explores the application of logical frameworks in educational contexts, such as game-based learning tools for propositional logic. Publications: His recent articles address advanced topics in logic, including models of Peano arithmetic fragments, symmetry in infinite-time computation, and surreal number systems. These works reflect a consistent focus on extending classical concepts into transfinite and non-standard domains. Contact: Email correspondence can be directed to l.galeotti@uva.nl .

Martin Herdegenمشاهده پروفایل

استاد

• Mathematical Finance
• Probability Theory
• Stochastic Processes
• +۵ مورد دیگر

Prof. Martin Herdegen is a Professor in Financial Mathematics at the University of Stuttgart, leading the Research Group Stochastics and Applications within the Department of Stochastics and Applications. Previously, he held positions as a Reader at the University of Warwick (UK) and a postdoc at ETH Zurich under Prof. Martin Schweizer. His research focuses on mathematical finance, including equilibrium theory, utility maximization, stochastic differential utility, and financial risk measures, alongside probability theory topics like stochastic optimal control and weak convergence of measures. Education: PhD in Mathematics from ETH Zurich (2014), supervised by Prof. Martin Schweizer. His academic journey includes postdoctoral research at ETH Zurich and Warwick. Research interests span mathematical finance and probability, with emphasis on frictions in financial markets, risk modeling, and stochastic processes. Recent work explores mean-variance equilibria, market making dynamics, and ρ-arbitrage frameworks. Publications (2020–2024) highlight contributions to equilibrium asset pricing under transaction costs, optimal portfolio strategies with frictions, and algorithmic trading models using reinforcement learning. His work bridges theoretical stochastic analysis with practical financial applications. Advising: Supervised multiple PhD students including Osian Shelley (JP Morgan), Nazem Khan (Dublin City University), and Joseph Jerome (Liverpool University), with current advisees focusing on stochastic finance and machine learning integration. Research Group: Includes postdocs and PhD students working on topics like risk measures, market microstructure, and computational finance. Collaborations span institutions across Europe and North America.

Raimundo Saonaمشاهده پروفایل

پژوهشگر ارشد

• Game Theory
• Probability Theory
• Algorithmic Game Theory
• +۳ مورد دیگر

Raimundo Saona is a Research Fellow in the Department of Mathematics at the London School of Economics and Political Science (LSE), where he joined in 2025. His work bridges theoretical mathematics with practical applications in computer science and decision theory. His research focuses on Game Theory, Probability Theory, Algorithmic Game Theory, Stochastic Analysis, Optimal Control, and Imprecise Probability Theory. He develops mathematical tools to provide new insights on situations involving uncertainty, working with both continuous and discrete models, proving theoretical existence theorems, coding efficient algorithms, and analyzing both dynamic online and static offline settings. His publication record shows a strong focus on stochastic games, Markov decision processes, and prophet inequalities. His recent work (2022-2024) has centered on ergodic unobservable MDPs, marginal values in stochastic games, and zero-sum random games on directed graphs, demonstrating his continued contribution to advancing theoretical frameworks in game theory and decision processes. His earlier work established foundational results in POMDPs and prophet inequalities.

Marc Adratمشاهده پروفایل

استاد

• Channel Coding
• Modulation Techniques
• Iterative Source-Channel Decoding
• +۷ مورد دیگر

Marc Adrat is an Honorary Professor at RWTH Aachen University and Head of the Software Defined Radio research group at Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE). His dual role combines academic teaching with cutting-edge industrial research in communications engineering. Education: Diplom-Ingenieur in Electrical Engineering (1997), RWTH Aachen University Dr.-Ing. (PhD) in 2003 from Institute of Communication Systems and Data Processing (IND), RWTH Aachen Research Focus: Prof. Adrat specializes in channel coding , modulation techniques , and iterative decoding with particular emphasis on polar codes , BICM-ID systems , and EXIT chart analysis . His work bridges theoretical foundations with practical implementations in software-defined radio systems. His recent research directions include applying machine learning techniques (particularly genetic algorithms) to optimize communication systems, developing autoencoder-based signal enhancement methods, and advancing spectrum monitoring technologies for cognitive radio applications. Awards & Recognition: Best Paper Award at ICMCIS 2022 for work on spectrum monitoring techniques Appointed Honorary Professor by RWTH Aachen University in June 2024 Teaching & Supervision: Since 2009, he has taught courses on Modern Channel Coding for Wireless Communications and Advanced Coding and Modulation at RWTH Aachen. His teaching covers both theoretical foundations and practical implementations of modern communication systems. Laboratories & Teams: At Fraunhofer FKIE, he leads the Software Defined Radio research group, focusing on developing flexible, reconfigurable radio systems for military and civilian applications. The group works extensively on real-time implementations of advanced coding and modulation schemes.