جست‌وجوی استاد و پژوهشگر

• Civil Law
• Comparative Legal History
• Legal Philosophy
• +۶ مورد دیگر

Wolfgang Forster is a Professor of Civil Law, Comparative Legal History and Legal Philosophy at the University of Tübingen, where he has been teaching since 2011. He served as Dean of the Faculty of Law from October 2020 to September 2022. Prior to his appointment at Tübingen, he was Professor of Civil Law and Legal Philosophy at the University of Giessen from 2007 to 2011. He completed his habilitation at LMU Munich in 2005 with a thesis on insolvency law history and earned his doctorate in 2000 with research on Karl Christian Friedrich Krause's legal philosophy. Forster studied law and philosophy at the Ludwig Maximilian University of Munich from 1987 to 1992, supported by the German Academic Scholarship Foundation and the Bavarian Scholarship for Gifted Students. He passed his first state examination in law in 1992 and his second in 1995. Between 1995 and 2000, he served as a research assistant at KU Eichstätt/Ingolstadt before becoming a research assistant at FAU Erlangen from 2000 to 2003 and at LMU Munich from 2003 to 2007. His research focuses on Civil Law, particularly the general part of the law of obligations, contract law, and family law; German and Spanish legal history, especially regarding insolvency law; History of Canon Law; and Legal philosophy and history of legal philosophy, with special emphasis on Karl Christian Friedrich Krause's legal philosophy. His work bridges historical legal scholarship with contemporary legal theory, examining how historical legal concepts inform modern jurisprudence. Forster's approach combines meticulous historical research with philosophical analysis, revealing continuities and transformations in legal thought across centuries. His publications demonstrate a consistent focus on the intersection of legal history, philosophy, and practical application. Forster has published extensively on Krausist legal philosophy, Spanish legal history, insolvency law development, and historical aspects of family law. His work shows particular strength in analyzing how legal concepts migrate across national boundaries and historical periods, with recurrent attention to German-Spanish legal connections. Hermann Conring Prize 2010 (for his habilitation thesis) Max Weber Prize of the Bavarian Academy of Sciences (for his dissertation) Faculty Prize of the Faculty of Law of the LMU Munich (for his dissertation) Forster has received significant research funding, including publishing support from the German Research Foundation for his habilitation thesis. He co-organized the 40th German Legal Historians' Day in 2014 and was a co-applicant for the interdisciplinary research training group 'Ambiguity: Production and Reception' approved by the DFG in 2013. He has also served as a visiting professor at the University of Wisconsin Law School in Madison, USA. His work demonstrates strong institutional support and recognition within the German and international legal academic community.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Mark Billinghurst is a Professor and Director of the Australian Research Centre for Interactive and Virtual Environments at UniSA STEM, University of South Australia. His work focuses on Augmented Reality (AR), Virtual Reality (VR), and empathic computing, emphasizing remote collaboration, human-computer interaction, and inclusive design. He has authored influential books like Computer-Supported Collaboration: Theory and Practice (2024) and pioneered systems such as Empathy Glasses and gaze-tracking interfaces for collaborative tasks. Education & Affiliations: Mark Billinghurst is affiliated with the Empathic Computing Laboratory and has collaborated globally with institutions like Keio University, Nokia, and the University of Canterbury. His research spans AR applications in manufacturing, healthcare, and social interaction, with a focus on improving accessibility and user experience. Research Interests: Dr. Billinghurst’s research explores AR/VR for remote guidance, wearable technologies, and emotional interfaces. He investigates how gaze cues, multimodal feedback, and AI can enhance collaboration and empathy in virtual environments. His work bridges technical innovation with human-centric design, addressing challenges in industrial assembly, mental health, and workplace transformation. Publications & Impact: His 2016 study on gaze tracking in remote collaboration (cited over 100 times) and 2024 book on AR collaboration highlight his contributions. Recent projects include Vibe360 (group emotion analysis) and CAEVr (biofeedback-driven empathy systems). He actively contributes to conferences like IEEE VR and CHI, shaping the future of immersive technologies. Labs & Future Work: His lab develops tools like the SAR system for aircraft drilling and empathic agents (EMiRAs). Future directions include AI-driven emotional interfaces, inclusive metaverse design, and VR solutions for cognitive rehabilitation.

Silvia Pedrazaمشاهده پروفایل

استاد

• International Sociology
• Immigration
• Race and Ethnicity
• +۵ مورد دیگر

Silvia Pedraza is a Professor of Sociology and American Culture at the University of Michigan, Ann Arbor. She holds a joint appointment in the Departments of Sociology and American Culture, and is an affiliate of the Latina/o Studies Program. Her research focuses on international sociology, inequalities, politics, and historical approaches, with particular emphasis on immigration, race, ethnicity, revolutions, and refugees. Her studies center on the United States, Cuba, Venezuela, Mexico, Puerto Rico, and Spain. Education: Ph.D., University of Chicago M.A. and B.A., University of Michigan, Ann Arbor Her research explores migration as a transformative process for nations, examining political disaffection in revolutionary contexts and the role of refugee movements. Key works include Political Disaffection in Cuba's Revolution and Exodus and Revolutions in Cuba and Venezuela: One Hope, Two Realities . She also investigates transnationalism, gender, and the sociopolitical dynamics of immigration policies. Her articles analyze topics such as Cuban immigrant transnationalism, the sociocultural future of Cuba, and the intersection of race, migration, and identity. Recent work addresses contemporary crises in Cuba and U.S.-Cuba diplomatic relations. Affiliations & Leadership: Associate Editor, Social Science History Former Chair of ASA Sections (Latina/o Sociology, Race and Ethnic Minorities) Former President, Association for the Study of the Cuban Economy (ASCE) Executive Committee Member, Social Science History Association (SSHA) Teaching & Academic Contributions: She teaches courses on American immigration history, Latinas/os in the U.S., and sociological perspectives on transformative migration. Her work bridges historical and contemporary analyses, emphasizing comparative methodologies. She has organized interdisciplinary initiatives, such as a Cuban Studies dossier on Cuba's transitional dynamics.

• Service Science
• Digital Services
• Artificial Intelligence (Chatbots)
• +۷ مورد دیگر

Dr. Alireza Nili is a Senior Lecturer in Service Science at QUT's School of Information Systems within the Faculty of Science. His expertise spans digitization of customer-centric services, AI/chatbots, IoT/IIoT, and sustainable technologies. He holds a PhD from Victoria University of Wellington and has coordinated large-scale courses like IT Systems Design (IFB103), achieving top teaching scores. Nili's research focuses on service ecosystems, trust in digital services, and public/retail sector innovations. He has secured over $1.4M in industry grants for projects involving Cisco, Amazon, and Services Australia. His awards include the 2023 Educator of the Year and multiple top conference paper recognitions. Nili supervises PhD students at Level 3 mentoring status and contributes to major conferences as track chair/associate editor. Research highlights include frameworks for chatbot governance, IOT in agriculture, and AI ethics. His work appears in IEEE Software , Communications of the ACM , and MIT Sloan Management Review . Current projects address consumer trust in AI technologies and spatial data systems. Nili's interdisciplinary approach combines design science with empirical methodologies to bridge theory and practice in digital service innovation.

Melissa Koenigمشاهده پروفایل

استاد

• Cognitive development
• culture
• cross-culture
• +۷ مورد دیگر

Melissa Koenig serves as Professor and Director of Graduate Studies at the University of Minnesota's Institute of Child Development (ICD), where her research examines social and testimonial learning mechanisms in children through investigations of trust, cultural learning, memory, language, and cognitive development. As a first-generation college student, she prioritizes supporting students navigating academic systems through collaborative mentorship. Education PhD (2002), University of Texas at Austin Her research program spans cognitive development, cross-cultural studies, early childhood, language acquisition, theory of mind, and social-emotional development across peer, parent, and romantic contexts. The lab employs interdisciplinary, multi-method approaches with explicit cultural analysis to advance developmental science, particularly examining how children evaluate information sources and integrate testimony into moral frameworks. Analysis of her 2021-2024 publications reveals dominant themes in epistemic trust development, including how children assess informant credibility through moral behavior, group affiliation, and cultural context. Key trajectories show increasing sophistication in distinguishing epistemic versus practical reasoning, cross-cultural variations in trust attribution, and the developmental emergence of resistance to power-based corruption like bribery. Advising & Mentorship Accepts new PhD students for Fall 2026 cohort Requires prospective students to contact prior to December 1 application deadline Public advising statement details mutual expectations and support structures Specializes in guiding students through academic navigation and hidden curriculum challenges She directs the Early Language and Experience Lab, which maintains a collaborative research environment focused on uncovering constraints and supports for children's social learning across diverse contexts, with particular attention to cultural and socioeconomic variables in developmental processes.

Sean Carrollمشاهده پروفایل

استاد

• Cosmology
• Quantum Mechanics
• General Relativity
• +۴ مورد دیگر

Sean Carroll serves as the Homewood Professor of Natural Philosophy at Johns Hopkins University and holds External Faculty status at the Santa Fe Institute. His research bridges cosmology, quantum mechanics, and philosophy, focusing on foundational questions about spacetime emergence, quantum interpretation, and complexity across cosmic scales. Carroll earned his Ph.D. from Harvard University in 1993. His academic trajectory reflects deep engagement with theoretical physics and philosophical inquiry, culminating in his current named professorship at Johns Hopkins. Carroll's research centers on the intersection of physics and philosophy, with significant contributions to quantum foundations, cosmology, and the nature of emergence. He is a leading proponent of the many-worlds interpretation of quantum mechanics and has pioneered work on the thermodynamic arrow of time, quantum decoherence, and the fine-tuning of initial cosmic conditions. His recent investigations explore discretized quantum systems, holographic principles in gravity, and the philosophical implications of quantum gravity. Analysis of his 2022-2025 publications reveals a pronounced shift toward computational approaches in quantum gravity, with increasing emphasis on finite-dimensional Hilbert spaces and GPU-accelerated modeling. His work consistently integrates quantum information theory with cosmological questions, particularly examining how spacetime geometry emerges from quantum entanglement and how complexity evolves in closed systems. Carroll's scientific recognition includes: National Science Foundation Fellowship NASA Fellowship Sloan Research Fellowship Packard Fellowship Fellow of the American Physical Society American Institute of Physics Award Fellow of the Royal Society Guggenheim Fellowship Fellow of the American Association for the Advancement of Science His research has been sustained through major fellowships from NSF, NASA, Sloan, and Packard foundations, enabling interdisciplinary collaborations across physics and philosophy. Carroll actively mentors graduate students at Johns Hopkins and contributes to public discourse through his popular science books (including the Biggest Ideas in the Universe series) and the weekly Mindscape podcast. As Fractal Faculty at the Santa Fe Institute, Carroll participates in cross-disciplinary research on complex systems, exploring how emergent phenomena arise from fundamental physical laws. His work bridges theoretical physics with broader questions about complexity in biological, cognitive, and social systems.

Halim Yanikomerogluمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Networks
• Cellular Networks
• +۹ مورد دیگر

Halim Yanikomeroglu is a Full Professor and Chancellor's Professor at Carleton University's Department of Systems and Computer Engineering, part of the Faculty of Engineering and Design. His research focuses on wireless communications, including 5G/6G networks, non-terrestrial systems (HAPS/LEO satellites), MIMO, and cognitive radio. He has supervised numerous graduate students and holds IEEE Fellow status and the Harold Sobol Award. His work integrates machine learning, federated learning, and sustainability into next-generation networks. Affiliations: Carleton University, IEEE Education: Ph.D. (Toronto), M.A.Sc. (Toronto), B.Sc. (Middle East Technical University) Research interests span cellular networks, relay architectures, and energy-efficient systems. He pioneered cell-switching strategies for green networks and contributed to HAPS and UAV-based infrastructure. His recent work addresses NTN integration, AI-driven spectrum management, and 6G innovations. Awards include IEEE Fellow (2017) and multiple Research.com leadership accolades. His 150+ publications span journals like IEEE Transactions and conferences like ICC. Advising over 50 students, he emphasizes interdisciplinary solutions for future wireless challenges.

Amir-massoud Farahmandمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Machine Learning
• Computer Science
• +۴ مورد دیگر

Amir-massoud Farahmand is an Associate Professor at the Polytechnique Montréal (Department of Computer and Software Engineering) and a Status-Only Associate Professor at the University of Toronto (Department of Computer Science). He is also a Core Academic Member at Mila (Quebec AI Institute). His research focuses on computational and statistical mechanisms for designing efficient reinforcement learning (RL) agents and adaptive algorithms. Dr. Farahmand's research spans reinforcement learning, optimal transport, adversarial robustness, and model-based methods. He has extensively studied regularization in RL, distributional approaches, and algorithm design for stability and convergence. His textbook Lecture Notes on Reinforcement Learning (2021) emphasizes mathematical intuition over algorithmic collections. Recent publications highlight trends in high-update-ratio RL, distributional equivalence, and self-prediction for task understanding. He is actively involved in teaching, having previously instructed courses on machine learning, neural networks, and RL at the University of Toronto. Scientific Awards : Ontario Early Researcher Award (2024) for Accelerated Reinforcement Learning Algorithms Dr. Farahmand has mentored numerous students, including his first PhD graduate Yangchen Pan (now at Oxford) and MSc students like Allen Bao (AMD) and Farnam Mansouri (University of Waterloo). He is currently recruiting graduate students at Polytechnique Montréal and Mila for 2025 admissions.

• Metaphysics
• Philosophy of Physics
• Philosophy of Mind
• +۴ مورد دیگر

Alyssa Ney is a leading Professor of Philosophy at Ludwig-Maximilians University Munich (LMU), holding the Chair of Metaphysics within the Faculty of Philosophy, Philosophy of Science, and Religious Studies. Her work bridges metaphysics with the philosophy of physics and mind, focusing on the interpretation of quantum theories, fundamentality, and the unity of science. Education: PhD in Philosophy (Brown University), MS in Physics (UC Davis), BS in Physics and Philosophy (Tulane University) Previous appointments: UC Davis (2019-2024), University of Rochester (2005-2019) Ney’s research explores the metaphysical implications of quantum mechanics, particularly wave function realism and its challenges in grounding macro-objects. She investigates the relationship between quantum theory and classical conceptions of space, time, and causation, with a focus on locality and nonlocality. Her work also addresses physicalism, mental causation, and the methodology of metaphysical inquiry. Recent publications include analyses of density matrix realism (“ Is the Universe Fundamentally a Density Matrix? ”), many-worlds interpretations (“ Branching (Almost) Everywhere and All At Once ”), and the metaphysical status of spacetime in quantum gravity contexts. She was awarded the 2025 Patrick Suppes Prize for her book The World in the Wave Function and the 2024 Humboldt Foundation Bessel Award. Scientific Awards Patrick Suppes Prize (2025) Friedrich Wilhelm Bessel Research Award (2024) FQxI Essay Contest Second Prize (2018) Elsie Field Dupre Prize in Physics (1999) Ney actively mentors underrepresented scholars in philosophy of science and serves on editorial boards for Philosophy of Physics and British Journal for the Philosophy of Science . She has organized workshops connecting metaphysics with philosophy of physics and quantum interpretation.

Fernando Lusa Bordinمشاهده پروفایل

دانشیار

• Public International Law
• International Legal Theory
• Law of International Organizations
• +۳ مورد دیگر

Professor Fernando Lusa Bordin is a College Associate Professor at Sidney Sussex College and a Fellow at the Lauterpacht Centre for International Law, University of Cambridge. He holds a PhD (Cantab), LL.M. (NYU), LL.B. (UFRGS), and a Diploma of Public International Law (Hague Academy). His research focuses on Public International Law, Jurisprudence, and the Law of Torts, with emphasis on international legal theory, law-making, international organizations, and dispute settlement. His key academic roles include: College Associate Professor, Sidney Sussex College Professor of Institutional Law (Schermers Chair), Leiden University Fellow, Lauterpacht Centre for International Law Research Interests: Fernando’s work explores the applicability of general international law to international organizations, treaty law, and state responsibility. His monograph The Analogy between States and International Organizations (2018) received the 2020 ASIL award. His recent articles address corporate legal status, regional organizations, and immunity frameworks. Professional Experience: He has served as a Judicial Fellow at the International Court of Justice, advisor to the UN International Law Commission, and counsel in major cases like the Chagos Marine Protected Area Arbitration . Awards: 2020 Certificate of Merit (American Society of International Law) Yorke Prize (University of Cambridge, for doctoral thesis) Labs/Tems: Active contributor to the Network of Empirical Labour Law Scholars (NELLS) and editor of the Oxford International Organizations (OXIO) database.

Laura Toniمشاهده پروفایل

دانشیار

• Large-scale signal processing for machine learning
• Graph signal processing
• Reinforcement learning
• +۹ مورد دیگر

Laura Toni is an Associate Professor in the Department of Electronic and Electrical Engineering at University College London's Faculty of Engineering Sciences. She serves as the leader of a research team focused on advanced signal processing and machine learning applications, documented at https://lasp-ucl.github.io . Additionally, she holds prestigious affiliations as an ELLIS (European Laboratory for Learning and Intelligent Systems) Member and Turing Fellow Alumni. PhD in Electrical Engineering, University of Bologna (2009) MS in Electrical Engineering, University of Bologna (2005) Professor Toni's research spans theoretical and applied aspects of machine learning with particular emphasis on graph-based approaches. Her work integrates signal processing techniques with modern AI methodologies to address complex problems in communication systems, multimedia processing, and scientific discovery. She has made significant contributions to reinforcement learning theory, graph signal processing, and their applications across diverse domains including drug discovery and immersive technologies. Analysis of her recent publications reveals a strong focus on graph-based machine learning approaches, with increasing emphasis on reinforcement learning applications. Her work demonstrates a progression from theoretical foundations to practical implementations, particularly in multimedia processing, network science, and drug discovery applications. Many of her recent papers combine graph neural networks with diffusion models and reinforcement learning for complex prediction and generation tasks. Professor Toni has received notable recognition through her ELLIS membership and Turing Fellow Alumni status, which represent significant achievements in the European AI research community. ELLIS (European Laboratory for Learning and Intelligent Systems) Member Turing Fellow Alumni As an academic leader, Professor Toni supervises postgraduate students and leads a research team at UCL, focusing on cutting-edge projects at the intersection of signal processing and machine learning. Her team has secured research funding through various channels including European initiatives and industry partnerships, enabling them to pursue ambitious projects in graph learning, reinforcement learning, and multimedia processing. The team actively collaborates with institutions worldwide, including previous connections with UCSD and EPFL. Professor Toni leads the LASP research group at UCL (https://lasp-ucl.github.io), which focuses on Large-scale Adaptive Signal Processing for intelligent systems. The team comprises researchers working on graph signal processing, reinforcement learning, and multimedia applications, with strong connections to both theoretical foundations and practical implementations across various domains including healthcare, communications, and immersive technologies.

Rayadurgam Srikantمشاهده پروفایل

استاد

• Machine Learning
• Communication Networks
• Cloud Computing
• +۷ مورد دیگر

Rayadurgam Srikant is the Fredric G. and Elizabeth H. Nearing Endowed Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, affiliated with the Coordinated Science Lab. He co-directs the C3.ai Digital Transformation Institute, focusing on AI-driven solutions for global challenges. His research spans machine learning, communication networks, stochastic systems, and game theory. Srikant has authored influential textbooks including Communication Networks: An Optimization, Control and Stochastic Networks Perspective . He holds IEEE Fellow status and has received prestigious awards like the ACM SIGMETRICS Achievement Award (2021) and IEEE Koji Kobayashi Award (2019). Over 20 of his advisees hold faculty positions globally. Education: PhD (1991), MS (1988) in Electrical Engineering from UIUC; B.Tech (1985) from IIT Madras. He has taught advanced courses on optimization, stochastic systems, and game theory. His work bridges theory and practice, with contributions to congestion control, cloud computing, and reinforcement learning. Current projects include AI applications for pandemic response and digital transformation initiatives. Research highlights include foundational work on Lyapunov drift methods for network stability and distributed algorithms. He serves as Area Editor for Mathematics of Operations Research and has led editorial roles for IEEE/ACM Transactions on Networking. His lab collaborates with industry leaders like Microsoft and C3.ai, leveraging supercomputing resources for societal impact.

Wolfgang Lehmannمشاهده پروفایل

استاد

• Social Inequality
• Social Class
• Sociology of Work
• +۵ مورد دیگر

Wolfgang Lehmann is a Professor and Acting Chair of the Department of Sociology at Western University, where he also serves as Undergraduate Program Chair and Assistant Dean for Student Experience in the Faculty of Social Science. He holds a Ph.D. in Sociology from the University of Alberta, an MBA from the City University of New York, and additional degrees from the University of Toronto/OISE and the University of Mannheim. His research focuses on social inequality, social class, and educational transitions, particularly examining how class impacts access to education and employment opportunities. Lehmann’s academic career includes extensive grant funding, including SSHRC grants totaling over $750,000 for studies on youth apprenticeships, first jobs, and educational inequality. He has supervised numerous graduate students and authored/edited influential books such as Education and Society: Canadian Perspectives (Oxford University Press) and Choosing to Labour? School-Work Transitions and Social Class (McGill-Queen’s University Press). His research highlights the challenges faced by working-class students in higher education and their transitions to employment. Key contributions include analyses of social capital, habitus, and vocational training systems. Lehmann has received recognition for his teaching, including multiple USC Teaching Honour Roll placements and a nomination for the USC Teaching Award. Lehmann’s work extends to international collaborations and policy advocacy, addressing issues like skilled labor shortages and the status of vocational education in Canada. He actively participates in academic leadership roles, including editorial boards for journals like the British Journal of Sociology of Education and the International Journal of Lifelong Learning .

Stine Krøijerمشاهده پروفایل

دانشیار

• Political Anthropology
• Nature-Culture Relations
• Cosmology
• +۱۹ مورد دیگر

Stine Krøijer is an Associate Professor in the Department of Anthropology at the University of Copenhagen, Faculty of Social Sciences. Her research focuses on political anthropology, nature-culture relations, cosmology, time, multispecies ethnography, anarchism, autonomy, and indigenous peoples, with regional expertise in the Amazon and Scandinavia. She is actively involved in major research projects such as 'Lokale Landvindinger' (2021–2025) and 'Fire and Political Alterity in Amazonia' (2023–), funded by the Velux Foundation and the Danish Research Council, respectively. Her educational background includes a PhD in Anthropology from the University of Copenhagen, awarded in 2011. Prior to her academic career, she worked with Oxfam_IBIS on forest, climate, and indigenous rights issues in the Amazon basin from 2002 to 2007 and again from 2010 to 2014. Stine Krøijer’s research explores the political agency of non-human entities like trees, the performative aspects of climate activism, and the temporalities of radical politics. Her work bridges anthropology with environmental studies, political theory, and indigenous epistemologies. She investigates how radical environmental change—such as deforestation, peatland restoration, and forest fires—reshapes political subjectivities and social futures. Her recent publications reflect a strong trend in climate politics, environmental activism, and the ontological status of nature. Themes include the agency of trees, dystopian imaginaries in environmental movements, and the co-creation of landscapes in Denmark. Her research combines ethnographic depth with theoretical innovation, particularly in understanding how ecological crises generate new forms of political alterity. Member, Expert Council on Nature National Parks, Ministry of Environment, Denmark Coordinator, Green Solution Centre, University of Copenhagen Editor, Tidsskriftet Antropologi She teaches courses on climate, nature, environment, global flows, project design, and fieldwork methods. Her advisory and grant activities are centered on externally funded research projects focusing on climate change, indigenous rights, and environmental transformation. She is also involved in public engagement through lectures and exhibitions such as 'Amazon Trails' and 'Climate/Kettle: Aesthetics of Resistance'. Stine Krøijer leads and participates in research groups focused on nature, environment, and climate. She collaborates with interdisciplinary teams across Denmark and Latin America, particularly in the Amazon region. Her work is embedded in both academic and policy-oriented networks, contributing to the Green Solution Centre and national environmental councils.

Eugene Feinbergمشاهده پروفایل

استاد

• Markov Decision Processes
• Stochastic Optimization
• Inventory Control
• +۳ مورد دیگر

Eugene Feinberg is a Distinguished Professor in the Department of Applied Mathematics and Statistics at Stony Brook University's College of Engineering and Applied Sciences. He is renowned for his extensive contributions to Markov Decision Processes (MDPs), stochastic optimization, and inventory control. Research Interests: His work spans theoretical and applied aspects of Markov Decision Processes , stochastic optimization , inventory control , healthcare decision-making , and machine learning . He has particularly focused on solving complex decision-making problems under uncertainty, with applications ranging from operations research to medical decision-making. Scientific Awards: He has been honored with the title of Distinguished Professor , recognizing his outstanding contributions to his field. Advising and Grants: While specific details on students and grants are not provided, his prolific publication record and faculty status suggest active involvement in advising and securing research funding. Contact and Resources: His university webpage can be accessed at http://www.ams.sunysb.edu/~feinberg/ , and his Google Scholar profile is available at https://scholar.google.com/citations?user=LLt--pgAAAAJ&hl=en .