جست‌وجوی استاد و پژوهشگر

Matthew Kopecمشاهده پروفایل

مدرس

• Ethics in Technology
• Computer Science Education
• Social Media Ethics
• +۳ مورد دیگر

Matthew Kopec is a Program Director and Lecturer at Harvard University's Embedded EthiCS program, which integrates ethics into computer science education. He holds an MA from Virginia Tech (supervised by Joe Pitt) and a PhD from the University of Wisconsin-Madison (supervised by Elliott Sober). Previously, he taught at Northeastern, Australian National University, Northwestern, and the University of Colorado-Boulder. His research focuses on the ethical implications of computing technologies, including content moderation on social media, algorithmic predictions' societal impacts, and tech ethics education efficacy. Education: PhD in Philosophy, University of Wisconsin-Madison MA in Philosophy, Virginia Tech Research Interests: Kopec explores normative dimensions of technology, such as misinformation governance, big tech regulation, and ethical design in computational systems. His work bridges philosophy and computer science, emphasizing practical applications of ethical frameworks in education and policy. Recent Research Trends: Kopec's publications (2021–2023) highlight empirical studies on ethics education in CS curricula, experimental approaches to moral psychology, and the governance of social media platforms. His work underscores interdisciplinary collaboration between ethics, technology, and policy. Awards: None explicitly mentioned in the provided texts. Advising & Grants: No specific details on advisees or grants are provided here. Labs/Teams: Central to his role is the Embedded EthiCS program, which collaborates across Harvard's CS departments to embed ethical modules into technical coursework.

Zhang Shixuanمشاهده پروفایل

استادیار

• Mathematical Optimization
• Operations Research
• Data Science
• +۵ مورد دیگر

Zhang Shixuan is an Assistant Professor in the Department of Industrial & Systems Engineering at Texas A&M University. His research focuses on mathematical optimization theory and its applications to data science, operations research, and systems engineering. Education: Ph.D. in Operations Research from Georgia Institute of Technology Postdoctoral: Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University His primary research areas include: Polynomial Optimization Integer Optimization Stochastic Optimization Robust Optimization His recent publications explore advances in distributionally robust optimization, security-constrained power flow algorithms, and theoretical aspects of multistage stochastic programming. Key trends in his work emphasize computational efficiency, algorithm design for nonconvex problems, and applications to energy systems and convex geometry. Doctoral Advisees: Jiamin Chen and Qi Xiao.

• Stochastic Processes
• Probability Theory
• Ergodic Control
• +۳ مورد دیگر

Alexander Veretennikov is a Professor at the Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute) , working as a Principal Researcher in the M.S. Pinsker Laboratory №1 since 1990. His research focuses on stochastic processes, ergodic theory, and their applications. Research Interests Stochastic Differential Equations (SDEs) Ergodic Control and Optimization Markov Chains and Convergence Rates Weak Dependence and Limit Theorems Polynomial Recurrence and Mixing Conditions Selected Publications (Trends) Recent works analyze convergence rates of Markov chains (2025) and ergodic control problems (2024). Earlier contributions (2023-2020) include studies on SDEs with switching, McKean-Vlasov equations, and limit theorems. Projects Participated in the RSCF Grant program.

Matthew Hanserمشاهده پروفایل

استاد

• Ethics
• Philosophy of Action
• Philosophy of Law
• +۴ مورد دیگر

Matthew Hanser is a Professor of Philosophy at the University of California, Santa Barbara (UCSB), specializing in Ethics, Philosophy of Action, and Philosophy of Law. His research integrates moral philosophy with metaphysics, philosophy of mind, and language. He holds a PhD from UCLA and has contributed to prominent journals such as Philosophy and Phenomenological Research and Analysis . His work explores topics like the metaphysics of harm, moral responsibility, killing vs letting die, and ethical dilemmas involving future persons. Notable publications include studies on 'Acting Wrongly by Trying' (2015) and 'The Metaphysics of Harm' (2008). His research often bridges theoretical ethics with applied issues in law and practical agency. While no specific awards are listed, his extensive publication record reflects sustained contributions to moral philosophy. He advises no listed students, but actively contributes to UCSB’s Philosophy Department through teaching and research.

Peter Kramerمشاهده پروفایل

استاد

• Probability Theory
• Differential Equations
• Complex Systems Modeling
• +۳ مورد دیگر

Dr. Peter Kramer is a Professor and Department Head in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute. He holds a Ph.D. from Princeton University (1997) and has been at Rensselaer since 2000. His research focuses on applying probability theory, differential equations, and stochastic modeling to study complex systems in biology, environmental science, and neuroscience. Key areas include molecular motor transport, neuronal network analysis, and active matter dynamics. He collaborates with researchers at institutions like Arizona State University and the University of Colorado. Dr. Kramer’s work emphasizes statistical approaches to model unresolved variables in computationally intensive systems. Notable projects address cargo transport in cells, environmental stochastic modeling, and neuronal network topology inference from firing data. He organizes the Mathematical Problems in Industry Workshop and mentors students in modeling competitions like the Mathematical Contest in Modeling. His recent publications (2017–2022) explore topics such as stochastic field theories for active matter, molecular motor cooperation, and Bayesian inference in dynamical systems. His research bridges applied mathematics with interdisciplinary applications, emphasizing both theoretical rigor and practical computational methods.

Ben Brambleمشاهده پروفایل

مدرس

• Philosophy
• Ethics
• Temporal Well-being
• +۳ مورد دیگر

Ben Bramble is a Lecturer in Philosophy at the Fenner School of Environment & Society, Australian National University. He holds a PhD in Philosophy from the University of Sydney (2014) and has held academic positions internationally, including Assistant Professor at Trinity College Dublin (2016), Senior Lecturer at the University of Liverpool (2018), and Laurance S. Rockefeller Visiting Faculty Fellow at Princeton University (2019). His research focuses on ethical philosophy, with emphasis on: Temporal dimensions of well-being and lived experience Non-identity problems in moral philosophy Applied ethics including pandemic response and animal predation Hedonism and experiential philosophy His publications demonstrate consistent exploration of ethical frameworks across contexts—from pandemic dilemmas to abstract temporal metaphysics. Recent works show heightened focus on real-world applications like COVID-19 ethics and environmental morality. Awards: Laurance S. Rockefeller Visiting Faculty Fellowship (Princeton University, 2019)