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Peter M. HoffmannView profile

Adjunct Professor

• Experimental soft condensed matter physics
• Biophysics
• Interatomic and intermolecular forces
• +7 more

Peter M. Hoffmann is an Adjunct Professor in the Department of Physics and Astronomy at Wayne State University's College of Liberal Arts and Sciences, with secondary appointments in the College of Engineering and Biomedical Physics program. His research focuses on molecular machines, nanoconfined liquids, and biophysics, employing advanced atomic force microscopy (AFM) techniques. PhD in Materials Science, Johns Hopkins University M.S. in Physics, Southern Illinois University Vordiplom (BS equivalent) in Physics & Mathematics, Technische Universität Clausthal Hoffmann's experimental work investigates how molecular motors extract order from chaos through Brownian ratcheting mechanisms. His team has developed cutting-edge AFM methodologies to study nanomechanical properties of confined water films, ionic effects on liquid ordering, and biomolecular interactions at the single-molecule level. Recent publications focus on graphene oxide fluid dynamics, mechanochemical solvation effects, and advanced AFM data analysis techniques. His research bridges soft matter physics, biophysics, and materials science through interdisciplinary approaches. Scientific recognition includes: National Science Foundation CAREER Award Wayne State Presidential Excellence in Teaching Award Richard Barber Faculty Award Sultana N Nahar Excellence in Teaching Award Abel Wolman Fellowship Studienstiftung des deutschen Volkes Fellowship Hoffmann's educational initiatives include co-authoring the textbook Quantitative Understanding of Biosystems and leading the $3M NSF IUSE grant to transform STEM education through evidence-based pedagogy. His lab actively mentors graduate students like Zachary Auner, Gobin Acharya, and Ramesh Tripathi, working at the intersection of physics and biological systems.

Andreas Heinrich HamelView profile

Professor

• Convex and variational analysis
• Optimization theory with set-valued objectives
• Mathematical finance (market models with transaction costs)
• +2 more

Andreas Heinrich Hamel is a Tenured Full Professor at the Faculty of Economics and Management , Free University of Bozen-Bolzano, Italy. His research focuses on advanced mathematical fields including convex and variational analysis, set-valued optimization, mathematical finance (market models with transaction costs), mathematical economics (incomplete preferences and game theory), and multivariate statistics (quantiles). Academic Rank: Professor Institution: Free University of Bozen-Bolzano School: Faculty of Economics and Management Professor Hamel co-developed the groundbreaking area of Set Optimization , with applications in mathematical finance, economics, statistics, game theory, and multi-criteria decision making. His work includes inventing set optimization approaches to risk measures for multivariate positions and developing optimization methods for economics and business applications. Recent publications highlight his expertise in set-valued risk measures, variational principles, and duality theories. His research spans topics such as cone distribution functions, multivariate shortfall risk measures, and utility maximization under transaction costs, reflecting interdisciplinary contributions to financial mathematics and optimization.

Jörg SchillerView profile

Professor

• Insurance Demand
• Behavioral Insurance
• Climate-Related Risks
• +5 more

Prof. Jörg Schiller is a University Professor and Head of the Department of Insurance Economics and Social Systems at the University of Hohenheim. He serves as Dean of the Faculty of Economics and Social Sciences since 2022 and has held leadership roles including Senate membership since 2010. His research focuses on behavioral insurance, insurance fraud, climate-related risk management, and regulatory frameworks in insurance markets. Schiller earned his PhD from the University of Hamburg (2004) and completed his habilitation at WHU Otto Beisheim School of Management (2008). Education: 1999: Diplom-Kaufmann (Business Studies), Goethe University Frankfurt 2004: Doctorate in Economics, University of Hamburg 2008: Habilitation, WHU (Vallendar) Research Interests: Schiller’s work bridges theoretical and applied economics, addressing topics like moral hazard, insurance fraud mechanisms, and the insurability of climate risks. He emphasizes behavioral aspects of insurance demand and brokerage practices, with recent studies exploring disaster relief policies and premium subsidies. Professional Activities: As Dean, Schiller oversees academic governance and strategic development. He co-organizes the Behavioral Insurance Workshop and leads the part-time MSc in Finance program. His publications frequently appear in top journals such as Journal of Risk and Insurance and European Economic Review . Awards & Recognition: While no specific awards are listed, his academic leadership roles and prolific publication record indicate significant scholarly impact. Advising & Grants: Supervises doctoral and master’s students in insurance economics. His research has examined heterogeneous selection in dental insurance and skin cancer screening program efficacy. Collaborates widely with institutions like the Munich Risk and Insurance Center. Labs/Teams: Leads a research group focused on behavioral and quantitative insurance analysis, supported by studies on fraud detection systems and regulatory design.

Edward C. RosenthalView profile

Professor

• Game Theory
• Logistics
• Supply Chain Management
• +5 more

Edward C. Rosenthal is a Professor at the Fox School of Business and Management, Temple University, specializing in the Department of Statistics, Operations, and Data Science. He holds a Ph.D. from Northwestern University and has extensive teaching experience in operations management, game theory, and supply chain logistics across undergraduate, graduate, Honors, and Executive MBA programs. His research focuses on game theory applications, logistics optimization, and behavioral decision-making. Rosenthal has received prestigious awards including the Great Teacher Award and Lindback Award for Distinguished Teaching. Education: Ph.D., Northwestern University His research interests span cooperative/noncooperative game theory, mechanism design, logistics systems, and behavioral decision theory. Key contributions include work on interdependent security games, supply chain cost allocation, and pricing models in on-demand services. He authored influential books like The Era of Choice (MIT Press, 2005) and The Complete Idiot’s Guide to Game Theory (2011). Recent articles explore topics such as network security strategies, ride-sharing pricing, and journal ranking methodologies. His work bridges theoretical frameworks with practical applications in logistics, transportation, and market dynamics. Awards: Great Teacher Award, Lindback Award Teaching: Operations Management, Game Theory, SCM Internships Rosenthal’s research also addresses real-world challenges like over-targeting in markets and optimal supply chain policies under disruptions. He collaborates on mechanisms for fair cost allocation in public transit and infrastructure networks.

• Optimization
• Convex Optimization
• Nonconvex Optimization
• +7 more

Wotao Yin is a Professor of Mathematics at the University of California, Los Angeles, with a distinguished research career spanning over two decades in optimization theory and its applications. His work bridges theoretical mathematics with practical applications in machine learning, image processing, and signal analysis. As a leading researcher in optimization algorithms, he has made significant contributions to the development of methods like ADMM (Alternating Direction Method of Multipliers), proximal algorithms, and decentralized optimization techniques. Department: Department of Mathematics School: College of Letters and Science University: University of California, Los Angeles Yin's research focuses on developing efficient algorithms for large-scale optimization problems, with particular expertise in convex and nonconvex optimization, distributed and decentralized optimization, and mathematical foundations of machine learning. His work has profound implications for image reconstruction, signal processing, and modern machine learning systems. He has pioneered methods for handling sparse data, non-smooth objectives, and constrained optimization problems that arise in real-world applications. An analysis of his recent publications reveals a strong trend toward addressing optimization challenges in machine learning, particularly in federated learning, attention mechanisms, and nonconvex problem structures. His work demonstrates a consistent pattern of bridging theoretical optimization with practical machine learning applications, developing algorithms that balance computational efficiency with theoretical guarantees. Recent papers show increasing focus on heterogeneous data settings, large language model optimization, and fundamental limitations of optimization methods in complex learning scenarios. Throughout his career, Professor Yin has mentored numerous PhD students and postdoctoral researchers who have gone on to successful careers in academia and industry. His collaborative network spans multiple institutions worldwide, with particularly strong connections to researchers in China and across the United States. His work has been supported by various funding agencies recognizing the fundamental importance of optimization theory for advancing computational science. Professor Yin leads a vibrant research group focused on mathematical optimization and its applications, where students and collaborators work on cutting-edge problems at the intersection of mathematics, computer science, and engineering. The group maintains strong connections with both theoretical and applied research communities, participating in major conferences across optimization, machine learning, and computational mathematics.

Amani ElobeidView profile

Teaching Professor

• Agricultural Economics
• Environmental Policy
• Biofuel Markets
• +3 more

Dr. Amani Elobeid is a Teaching Professor in the Department of Economics and holds the Ron and Lynn Deiter Endowed Chair for Sustaining Excellence in Agricultural Business at Iowa State University (ISU). She is affiliated with the Center for Agricultural and Rural Development (CARD) and oversees the Agricultural Business program and club. Her expertise lies in agricultural policy analysis, biofuel impacts, and climate change effects on agricultural systems. Education: Ph.D., Economics, Iowa State University, 2001 M.S., Economics, Iowa State University, 1994 B.S., Economics, University of Khartoum, Sudan, 1986 Research Interests: Dr. Elobeid’s work focuses on modeling agricultural and biofuel markets, assessing policy impacts on global commodity markets, and analyzing climate change and geopolitical effects on food security and environmental outcomes. She has contributed to understanding the trade-offs between biofuel expansion, land-use changes, and carbon emissions. Awards: Ron and Lynn Deiter Endowed Chair (2021) Excellence in Teaching Award (2020) University Professional and Scientific Research Awards (2014, 2013) Fulbright Scholarship (1989) Teaching and Advising: She teaches undergraduate economics courses, coordinates Principles of Economics, and advises students in the Agricultural Business program. Her grants and research projects focus on sustainable agricultural practices and policy analysis. Labs/Teams: Affiliated with ISU’s Center for Agricultural and Rural Development (CARD), collaborating on interdisciplinary research addressing agricultural sustainability and global commodity dynamics.

Rabia NESSAHView profile

Professor

• Game Theory
• Operations Research
• Economics
• +3 more

Rabia NESSAH is a Full Professor of Quantitative Methods at IÉSEG School of Management in Lille, France. She holds a Ph.D. in Industrial Systems and Optimization (2005) from Technologic University of Troyes and an HDR in Economics and Mathematics (2013) from University of Paris Est. Her academic career includes prior roles as Lecturer at Technologic University of Troyes (2002–2006) and Université de Tizi-Ouzou, Algeria (2001–2002). Her research focuses on game theory, optimization, and scheduling algorithms, with notable contributions to equilibrium solutions (Berge, Nash, and hybrid variants), production scheduling models, and mathematical economics. She has published extensively in journals like European Journal of Operational Research , Journal of Mathematical Economics , and Mathematical Social Sciences , and co-authored books on revolutionary choice theories and voting paradoxes. NESSAH teaches courses in quality control, production planning, and optimization methods at the undergraduate level. Her work bridges theoretical advancements in game theory with practical applications in operations research and economic modeling.

Frits de NijsView profile

Research Fellow

• Artificial Intelligence
• Renewable Energy Systems
• Reinforcement Learning
• +3 more

Frits de Nijs is a Research Fellow in the Department of Data Science & AI at Monash University. His work focuses on advancing artificial intelligence techniques for energy systems optimization, multi-agent decision-making, and sustainable infrastructure. He has contributed to projects such as the Human-in-the-loop Microgrid Project and RACE for 2030 CRC, addressing challenges in renewable energy integration and smart grid management. Key research areas include reinforcement learning applications for energy curtailment, HVAC control systems, and resource-constrained multi-agent planning. His projects often bridge AI methodologies with real-world energy challenges, aiming to enhance grid reliability, carbon efficiency, and fair resource allocation. Notable collaborations involve researchers in machine learning, sustainable energy, and building automation. He has actively participated in 6 major research projects since 2020, including initiatives on AI-ready buildings and probabilistic multi-agent learning environments. His publications span conferences like AAAI, NeurIPS, and IEEE Power & Energy Society events, emphasizing peer-reviewed contributions to energy-AI intersections.

Vuong PhanView profile

Associate Professor

• Continuous optimisation
• Dynamical systems
• Optimal control
• +5 more

Dr. Vuong Phan is an Associate Professor in Operational Research at the School of Mathematical Sciences, University of Southampton. His research focuses on continuous optimization, dynamical systems, optimal control, variational inequalities, and equilibrium problems with applications in engineering, economics, and biochemistry. He has taught modules such as Operational Research II, Optimization, and Introduction to Python. He currently supervises three PhD students and has held academic positions at institutions including the University of Vienna, Vienna University of Technology, and the University of Luxembourg. His work bridges theoretical advancements in optimization with practical applications in interdisciplinary fields. Research interests include solution methods for continuous optimization, dynamical systems, optimal control, and equilibrium problems. His work emphasizes applications in engineering systems, economic models, and biochemistry, particularly in constraint-based modeling of human metabolism. Recent projects involve developing algorithms for variational inequalities and equilibrium control problems, with applications to traffic assignment and network optimization. Publications span journals like Computational Optimization and Applications, Journal of Optimization Theory and Applications, and Bioinformatics, highlighting contributions to algorithm design, convergence analysis, and interdisciplinary applications. He actively mentors students and contributes to teaching in mathematical sciences.

Saverio BolognaniView profile

Lecturer

• Control Systems
• Power Systems
• Optimization
• +3 more

Dr. Saverio Bolognani is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on feedback optimization, control systems, and game theory, with applications to power grids and multi-agent systems. He is affiliated with the Institut für Automatik and teaches courses like 'Game Theory and Control' in the Autumn Semester 2025. His work integrates optimization, stochastic processes, and distributed algorithms to address challenges in energy systems and resource allocation. Recent contributions include PRIME (a feedback optimization framework) and karma-based economies for dynamic resource management. His experimental studies validate real-time control strategies for distribution grids and compressor stations. Research interests span control theory, power systems, game theory, and distributed optimization. He emphasizes practical implementations, such as online feedback optimization for grid flexibility and voltage regulation. His work often bridges theoretical foundations (e.g., Wasserstein space optimization) with real-world applications in smart grids and multi-modal mobility systems. No scientific awards are explicitly listed. His advising and grants involve experimental validation of control systems and participation in collaborative projects. He is involved in labs/teams focused on power distribution networks, reactive power control, and urban motion planning games.

• Quantitative Macroeconomics
• Macro Labor Economics
• Macro Public Finance

Philipp Grübener is an Assistant Professor of Economics at Washington University in St. Louis (WashU). He previously served as a postdoctoral researcher at Goethe University Frankfurt. His personal website can be found at philippgruebener.com . Education: Bachelor's in Economics from University of Münster Master's in Money and Finance from Goethe University Frankfurt PhD in Economics from the European University Institute Research interests focus on Quantitative Macroeconomics with emphasis on labor market dynamics and public finance. Key topics include earnings risk mitigation, household insurance mechanisms, tax-transfer system optimization, and policy analysis using dynamic equilibrium models. His work integrates microeconomic data to evaluate macroeconomic policies, particularly exploring how spousal labor supply decisions and firm-worker interactions influence economic outcomes. His recent articles analyze spousal labor responses to unemployment and optimal fiscal policy design. The 2025 paper in Journal of Monetary Economics examines age-dependent labor supply adjustments, while the 2023 Journal of Political Economy contribution evaluates transfer programs and tax progressivity in redistributive frameworks. Grübener is actively involved in computational economics tool development, contributing to projects like HARK and the Sequence-Space Jacobian Toolkit . These open-source initiatives support heterogeneous-agent model estimation and policy analysis. No scientific awards or formal advisees are listed in available materials. He advises students through scheduled office hours at WashU's Harry and Susan Seigle Hall 381.

Michael G. DunnView profile

Professor

• Aircraft Engine Propulsion
• Controls and Diagnostics
• Heat Transfer
• +6 more

Michael G. Dunn is a Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University, where he also directs the Gas Turbine Laboratory. With over 50 years of experience, his career spans academia, NASA's early space program, and defense research during the Cold War. Dunn earned his BSME (1958), MSME (1960), and PhD (1961) from Purdue University. Affiliations: Ohio State University (1995–present), Calspan Corporation (1978–1995), Cornell Aeronautical Laboratory (1964–1978), Lockheed Missiles and Space Company (1961–1964). Research: Focused on aircraft engine components (fans, compressors, turbines), heat transfer, nuclear defense engine resilience, and hypersonic test capabilities. Advisory Roles: Member of the Aerospace Industries Association Volcanic Ash Committee, National Hypersonic Test Capabilities Work Group, and Army Research Laboratory's Air and Ground Vehicle Technology Panel. His career highlights include pioneering work on re-entry blackout periods during NASA's Mercury/Gemini/Apollo missions, 19-year nuclear defense engine studies (1976–1995), and developing short-duration turbine testing facilities. Dunn emphasizes mentorship, involving junior faculty and undergraduates in research to ensure continuity.

Boragan AruobaView profile

Professor

• Macroeconomics
• Monetary Economics
• Econometrics
• +1 more

Boragan Aruoba is a Professor in the Department of Economics at the University of Maryland, where he has been a faculty member since 2004. He is a macroeconomist with theoretical and empirical interests in monetary economics, nonlinear macroeconomic dynamics, and econometric methods. His research has been supported by the National Science Foundation, and he serves as an editor for the Journal of Monetary Economics and as a Research Associate at the National Bureau of Economic Research (NBER). Education: PhD in Economics, University of Pennsylvania, 2004 Research Interests: Aruoba's work spans both theoretical and empirical macroeconomics. On the theoretical side, he studies nonlinearities in macroeconomic models, particularly dynamics near the zero lower bound (ZLB) on nominal interest rates. His empirical research focuses on data revisions, yield curve modeling, and real-time macroeconomic measurement. His tools include dynamic stochastic general equilibrium (DSGE) models, state-space methods, and machine learning techniques applied to policy shocks. Scientific Contributions: Developed the Aruoba-Diebold-Scotti Business Conditions Index , now produced by the Federal Reserve Bank of Philadelphia. Created Aruoba Term Structure of Inflation Expectations (ATSIX) , also implemented by the Philadelphia Fed. Co-developed GDPplus , a new measure of U.S. GDP growth, adopted by the Federal Reserve Bank of Philadelphia. Advising and Grants: Aruoba has advised students such as Pablo Cuba-Borda, now at the Federal Reserve Board of Governors. His research is supported by the National Science Foundation and he teaches macroeconomics, computational methods, and forecasting at both undergraduate and graduate levels. Affiliations and Roles: Editor, Journal of Monetary Economics Research Associate, NBER (Monetary Economics Program) Faculty member, Department of Economics, University of Maryland

Birgit RudloffView profile

Professor

• Multivariate risks
• Set-valued risk measures
• Markets with transaction costs
• +4 more

Birgit Rudloff is a Full Professor at the Institute for Statistics and Mathematics at Vienna University of Economics and Business. With a PhD in Financial Mathematics from Martin-Luther-University Halle-Wittenberg, her research focuses on multivariate risks, set-valued risk measures, optimization algorithms, and game theory applications in finance. She leads significant research projects in financial mathematics and vector optimization. Her research interests span dynamic set-valued risk measures, markets with transaction costs, systemic risk measurement, and algorithms for solving vector optimization problems. Recent work explores Nash equilibria computation and convex projections in unbounded spaces. Research outputs demonstrate strong focus on convex optimization techniques in financial mathematics, risk measurement methodologies, and game theory applications. Recent publications show growing interest in machine learning approaches for optimization problems. 2021 SIAM-FME Conference Paper Prize 2021 WU Star Journal Award Advises doctoral students and postdoctoral researchers in financial mathematics and optimization theory. Current research group includes postdocs and PhD students working on vector optimization and risk measures.

• Economic History
• Regional Economics
• Development Economics
• +3 more

Carlo Ciccarelli is a Professor of Economic History at the University of Rome Tor Vergata, specializing in the Department of Economic History. His research focuses on long-term economic development, regional disparities in Italy, historical institutions, and the interplay between infrastructure, public health, and socio-economic outcomes. He teaches courses such as European Economic History and Quantitative Applied Economics at both bachelor and master levels. His work examines the legacy of historical policies like the Napoleonic reforms and Italian unification, analyzing their impacts on modern regional inequalities. He also investigates the role of transportation networks (e.g., railways) and resource exploitation (e.g., Sicilian sulphur) in shaping Italy's economic trajectory. Recent studies explore topics ranging from literacy's long-term effects on productivity to the historical determinants of smoking behavior and its health consequences. Dr. Ciccarelli's articles consistently emphasize quantitative approaches to historical data, often employing spatial econometrics and synthetic control methods. His research themes include: (1) institutional reforms and regional development, (2) socio-economic consequences of industrialization, and (3) historical analysis of public health issues. He currently holds no listed scientific awards but is active in editorial contributions for journals and research centers. While no formal advisees are listed, his teaching and research activities suggest involvement in mentoring students through his academic programs. Office hours are held Monday 11-13 during the lecture period, with appointments also available via email. His research interests are supported by extensive data collection efforts, including work with historical censuses and industry records.