جست‌وجوی استاد و پژوهشگر

Rishab Goyalمشاهده پروفایل

استادیار

• Cryptography
• Computer Security
• Theoretical Computer Science
• +۴ مورد دیگر

Rishab Goyal is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin-Madison , affiliated with the School of Computer, Data & Information Sciences . His research spans Cryptography , Computer Security , and Theoretical Computer Science , with a focus on post-quantum cryptography , lattice-based systems , and the policy implications of advanced cryptography . Research interests include secure systems with advanced capabilities and cryptographic proof systems. Teaching graduate and undergraduate courses in cryptography and theoretical computer science. His work on functional encryption , traitor tracing , and obfuscation has been published in top venues like CRYPTO, STOC, and FOCS. He has served on program committees for EUROCRYPT, TCC, PKC, FOCS, and ASIACRYPT. Scientific Awards : Invited to STOC 2018 special issue in SIAM Journal on Computing. Rishab collaborates with PhD students including Jiaqi Cheng , Abtin Afshar , and Saikumar Yadugiri , and hosts visiting researchers from institutions like GMU and IIT Madras.

Ghassan AlRegibمشاهده پروفایل

استاد

• Machine Learning
• Image and Video Processing
• Computer Vision
• +۷ مورد دیگر

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Christian Listمشاهده پروفایل

استاد

• Decision-making
• Individual and collective choice
• Preference and judgment aggregation
• +۹ مورد دیگر

Christian List is Professor of Philosophy and Decision Theory at Ludwig Maximilian University of Munich, where he serves as Co-Director of the Munich Center for Mathematical Philosophy (MCMP). Previously, he was Professor of Philosophy and Political Science at the London School of Economics until 2020. His work bridges philosophy, economics, and political science with a particular focus on individual and collective decision-making and the nature of intentional agency. Professor List's research spans multiple interconnected domains: theories of individual and collective choice (particularly social choice theory and judgment aggregation), free will and consciousness, the philosophy of mind and action, and the foundations of the social sciences. His work on group agency, developed in his influential book Group Agency with Philip Pettit, has reshaped debates about corporate entities and collective intentionality. His more recent work on free will, culminating in his book Why Free Will is Real , presents a scientifically grounded defense of free will against reductionist skepticism. His recent publications reveal a sophisticated integration of formal methods with deep philosophical questions, particularly regarding consciousness, probability aggregation, and the relationship between different levels of explanation. List's work consistently demonstrates how mathematical precision can illuminate fundamental philosophical problems while maintaining relevance to broader social and scientific contexts. Scientific Awards and Recognition: Elected Fellow of the British Academy (2014) Member of Academia Europaea (2023) Member of the Bavarian Academy of Sciences and Humanities (2022) Joseph B. Gittler Award from the American Philosophical Association (2020) Philip Leverhulme Prize in Philosophy (2007) 5th Social Choice and Welfare Prize (2010) List has supervised numerous PhD students and early-career researchers, many of whom have gone on to prominent positions in philosophy and related fields. His collaborative work with Franz Dietrich on judgment aggregation has been particularly influential. As Co-Director of the Munich Center for Mathematical Philosophy, he has secured substantial research funding and established MCMP as a leading international hub for formal and mathematical approaches to philosophical problems. Through the Munich Center for Mathematical Philosophy, List leads a vibrant research community that brings together philosophers, economists, political scientists, and mathematicians to tackle foundational questions using rigorous formal methods. The center hosts regular workshops, seminars, and visiting scholars, creating a dynamic intellectual environment that bridges disciplinary boundaries.

Joel David Hamkinsمشاهده پروفایل

استاد

• Set Theory
• Computability Theory
• Philosophy of Mathematics
• +۷ مورد دیگر

Joel David Hamkins is the O’Hara Professor of Logic at the University of Notre Dame, with significant affiliations to logic and philosophy research communities in China and Japan. His work bridges set theory, computability, and philosophy of mathematics, focusing on foundational questions about infinity, truth, and mathematical existence. Key Research Areas : Set theory, potentialism, continuum hypothesis, surreal numbers, forcing, large cardinals, definability, halting problem history Recent Talks : Kobe University (2025), Notre Dame HPS Colloquium (2025), Fudan University seminars (2025), Peking University conference (2025) Scientific Contributions : 2024 arXiv paper on halting problem attribution, ongoing work on bi-interpretation of surreal arithmetic with ZFC, analysis of transitive submodel principles Awards & Recognitions : William Reinhardt Memorial Lecture (2025), former JSPS Fellowship at Kobe University Hamkins’ work reveals deep connections between technical set theory and philosophical inquiry, particularly through his modal logic approach to potentialism and analysis of truth nonabsoluteness. His 2024 paper with Theodor Nenu re-examines Turing’s legacy, while his technical collaborations with researchers from Fudan University and Oxford advance foundational mathematics.

• Data science
• Machine learning
• Business analytics
• +۱۰ مورد دیگر

Masayuki Goto is a Professor in the Department of Industrial Systems Engineering, School of Creative Science and Engineering at Waseda University, Japan, where he has served since 2011. He earned his Doctor of Engineering from Waseda University and leads research integrating statistical science, machine learning, information theory and management engineering to solve business-analytics, marketing, AI ethics and industrial optimisation problems. Education: Doctor of Engineering, Waseda University Research Interests: His work spans data science, machine learning, business analytics, statistical learning theory, generative AI, deep neural networks, natural language processing, network analysis and information theory, with recent emphasis on trustworthy AI and synthetic data generation. Publication Trends: Over 2024-2025 his group has published extensively on deep learning for tabular data, vision-language models, recommender systems, causal inference and ethical AI, demonstrating a shift toward generative-AI-driven business analytics and interpretable models. Scientific Awards: Best Paper Award, CIE51 2024 Outstanding Paper Award, APIEMS 2023 Best Paper Award, APIEMS 2022 Best Paper Award, 20th ANQ Congress 2022 2022 PC Conference Best Paper Award Best Paper Award, JASMIN 2021 Best Paper Award, 19th ANQ Congress 2021 Encouragement Award, AAMSA 2021 IDR User Forum 2020 Enterprise & DBSJ Special Awards Best Paper Award, APIEMS 2019 Best Paper Award, ANQ Congress 2018 World CIST'18 Best Paper Award Best Paper Award, ANQ Congress 2017 JSPS Grant Review Commendation 2016 JIMA Distinguished Research Award 2015 Best Paper Award, Journal of JIMA 2015 IPSJ National Convention Best Paper Awards (2015 & 2012) Advising & Grants: He has mentored a large cohort of graduate students evidenced by co-authorship on over 100 recent papers. He has served as PI on numerous JSPS KAKENHI grants and industry projects focused on data-driven management, AI marketing and ethical AI frameworks. Labs & Teams: He heads the Goto Laboratory within the Waseda Institute for Advanced Study, leading interdisciplinary projects on business AI, data-ethics education and industrial optimisation.

• Fuzzy Logic
• Multi-criteria Decision Making
• Decision Science
• +۳ مورد دیگر

Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards

Lane A. Hemaspaandraمشاهده پروفایل

استاد

• Computational Complexity Theory
• Structural Complexity Theory
• Computational Social Choice Theory
• +۴ مورد دیگر

Lane A. Hemaspaandra (formerly Hemachandra) is a Professor at the Department of Computer Science, University of Rochester, New York. His academic career spans over three decades, with research focusing on computational complexity theory (especially structural complexity) and computational social choice theory . He holds a Ph.D. in Computer Science from Cornell University (1987) and has been recognized with prestigious awards such as the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation and NSF Presidential Young Investigator (1989–1995). Education: B.S. in Computer Science and Mathematics & Physics, Yale University (1981) M.S. in Computer Science, Stanford University (1982) M.S. in Computer Science, Cornell University (1984) Ph.D. in Computer Science, Cornell University (1987) Hemaspaandra's research bridges theoretical computer science with political science and economics , particularly analyzing the computational complexity of election systems. His work includes foundational studies on Carroll/Dodgson voting , control complexity , and manipulative attacks in single-peaked societies. He has pioneered the use of complexity as a shield against election manipulation and control. The 15 most recent articles (2021–2024) span topics like backbone opacity , electoral control dichotomies , iterative constant-setting for complexity , and online bribery in sequential elections . These works often intersect with parameterized complexity , multi-agent systems , and game-theoretic models . Scientific Awards: AAAI Senior Member (2020–...) ACM Distinguished Scientist (2007–...) Alexander von Humboldt Foundation Renewed Research Stay (2018–2019) SIGACT Distinguished Service Prize (2013) Edward Peck Curtis Award for Undergraduate Teaching (2012) Hertz Foundation Fellowship (1982–1987) He has advised 15 Ph.D. students and postdocs, including prominent researchers like Prof. Piotr Faliszewski (AGH University) and Dr. Curtis Menton (Google). His NSF-funded projects explore complexity-theoretic approaches to election systems, and he has collaborated with institutions in Germany, Japan, and Poland.

Eduardo Mercado IIIمشاهده پروفایل

استاد

• Bioacoustics
• Cognitive Psychology
• Marine Ecology
• +۵ مورد دیگر

Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.

Anna Mayoمشاهده پروفایل

استادیار

• Organizational Behavior
• Team Dynamics
• Dynamic Teams
• +۳ مورد دیگر

Anna Mayo is the Anna Loomis McCandless Assistant Professor of Organizational Behavior at Carnegie Mellon University’s Heinz College. Her research focuses on dynamic teamwork in modern organizations, particularly in healthcare and cross-sector settings. She investigates how teams adapt to fluid participation, technology integration, and volatile environments to enhance productivity and collaboration. Education: Ph.D. & M.S. in Organizational Behavior & Theory, Carnegie Mellon Tepper School of Business B.A. in Psychology, Denison University Research Interests: Mayo explores team coordination, cognitive versatility, and the impact of organizational structures on teamwork efficacy. She combines lab and field studies (e.g., healthcare, sales teams) to address challenges like rapid team formation/dissolution and distributed member roles. Her work emphasizes agility while mitigating risks to team outcomes. Publications: Her research appears in top journals such as Administrative Science Quarterly, Academy of Management Annals, and BMJ Leader. Recent studies address pandemic teamwork dynamics, nursing-physician collaboration, and the role of coordinated attention in group performance. Prior Experience: Before joining CMU, Mayo held roles at Johns Hopkins Carey Business School and worked in nonprofit human services. She teaches Organizational Design & Implementation (Course 94-700).

K.S. Babuمشاهده پروفایل

استاد

• Theoretical Physics
• Particle Physics
• Neutrino Physics
• +۴ مورد دیگر

K.S. Babu, Ph.D. , is a Regents Professor in the Department of Physics at Oklahoma State University . His research focuses on theoretical physics beyond the Standard Model, particularly in neutrino mass models, grand unification, and baryon/lepton number violation. Email: kaladi.babu@okstate.edu Contact: 405-744-5810 | 232 Physical Sciences, OSU Dr. Babu's work spans several key areas: Grand Unified Theories (GUTs): Studies of SO(10), SU(5), and E6 unification frameworks. Neutrino Physics: Development of models like the Zee-Babu mechanism for neutrino masses and research on oscillations. Dark Matter & Cosmology: Proposals for dark matter candidates and connections to inflation and baryogenesis. CP Violation & Leptogenesis: Mechanisms for generating matter-antimatter asymmetry. His recent publications highlight advancements in: Spontaneous CP violation in SO(10) (2025) Left-right symmetric models for leptogenesis (2025) Ultraviolet-completed two-loop neutrino mass models (2025) Probing baryon number violation at IceCube and LHC (2024) Accidental Peccei-Quinn symmetry for axion models (2024) Dr. Babu actively collaborates on international initiatives such as the Center for Theoretical Underground Physics (CETUP) and contributed to the Snowmass 2013 Community Planning Study. His lab has mentored numerous graduate and postdoctoral researchers, including Kirtiman Ghosh, Sudip Jana, and Shaikh Saad.

• Algorithms and Complexity
• Logic
• Database Theory
• +۲ مورد دیگر

Martin Grohe is a Professor at the School of Logic and Theory of Discrete Systems , part of the Department of Computer Science at RWTH Aachen University . His research spans Algorithms and Complexity , Logic , Database Theory , Graph Theory , and Machine Learning , with a focus on integrating logical frameworks into computational models. His recent work explores graph neural networks , Weisfeiler-Leman algorithms , and parameterized complexity , as seen in publications on isomorphism testing , database repairing , and probabilistic query evaluation . While no specific scientific awards are mentioned, his contributions to graph theory and machine learning are widely recognized through numerous peer-reviewed publications.

Stefano Gogiosoمشاهده پروفایل

عضو هیئت علمی

• Quantum Computing
• Quantum Theory
• Quantum Software
• +۳ مورد دیگر

Stefano Gogioso is a Departmental Lecturer at the University of Oxford , specializing in quantum theory and quantum software. He holds a DPhil in Computer Science from Oxford (2013–2017) and advanced degrees from Cambridge (MASt, BA) and the University of Genova (MSc, BSc). As a Fellow at Kellogg College and co-founder of Hashberg Ltd , he develops quantum programming tools and focuses on quantum causal structures, quantum field theory, and natural language processing applications. His research bridges foundational quantum theory with practical applications, including near-term quantum computing and educational outreach through visual methods like Quantum in Pictures . Research Interests: Quantum foundations, quantum software, categorical quantum mechanics, quantum field theory, and quantum causality. His work emphasizes pictorial formalisms and compositional methods, with contributions to indefinite causality, quantum cellular automata, and quantum natural language processing (QNLP). Key Contributions: Published over 25 papers, including works on causal polytopes, categorical Feynman diagrams, and QNLP pipelines. Co-developed Hashberg 's quantum programming tools and serves as a mentor for AI initiatives at CDL-Oxford. His thesis introduced dynamics in categorical quantum mechanics, addressing symmetry and quantum clocks. Teaching: Teaches quantum computing courses for MSc/MFoCS students, professionals, and continued education. Courses include Quantum Software , Quantum Computing for Software Engineers , and bespoke corporate training. Labs/Teams: Part of the Oxford Quantum Group and involved in collaborative projects with industry and academia. Advising: Supervised students like Nicola Pinzani (causal orders) and Maria Stasinou (quantum field theory). Grants/Awards: Not explicitly listed, but recognized for contributions to quantum foundations and education.

Abolfazl Asudehمشاهده پروفایل

دانشیار

• Algorithm Design
• Data Science
• Artificial Intelligence
• +۴ مورد دیگر

Abolfazl Asudeh is an Associate Professor in the Department of Computer Science at the University of Illinois Chicago and director of the Innovative Data Exploration Laboratory (InDeX Lab) . He is a Senior Member of ACM and IEEE , serving as Associate Editor for IEEE Transactions on Knowledge and Data Engineering , VLDB Ambassador , and VLDB Endowment Liaison to NSF . His research focuses on Algorithm Design for Data and AI problems , emphasizing efficient, accurate, and responsible solutions through Approximation Algorithms , Randomized Methods , and Computational Geometry . Recent work explores LLM optimization ( Needle ), fair data structures ( FairHash ), and responsible AI frameworks ( Chameleon ). Scientific awards include Communications of the ACM Research Highlight Google Research Scholar Award SIGMOD 2019 Research Highlight Best of VLDB 2020 SIGMOD 2017 Reproducibility Award Grants: NSF IIS-2348919 (2024-2027): Fairness-aware Data Structures NSF IIS-2107290 (2021-2024): Collaborative Fairness Research The InDeX Lab develops systems like Needle (image retrieval) and RSR (matrix multiplication). His work integrates fairness , reliability , and computational efficiency across data structures , LLMs , and responsible AI implementations.

Stuart Kurtzمشاهده پروفایل

استاد

• Theoretical Computer Science
• Computational Complexity Theory
• Type Theory
• +۴ مورد دیگر

Stuart Kurtz is a Professor in Computer Science and the College at the University of Chicago, and serves as Master of the Physical Sciences Collegiate Division. He holds the endowed position of George and Elizabeth Yovovich Professor. His research focuses on theoretical computer science, including computational complexity theory, randomness in computation, type theory, and formal logic. He has contributed to foundational areas such as the Berman-Hartmanis Isomorphism Conjecture and the computational properties of random sets. Kurtz is affiliated with the Theoretical Computer Science and Programming Languages Groups at the University of Chicago. He has been recognized with the 2009 Quantrell Award for teaching excellence. His service roles include Director of Undergraduate Studies and Department Chair in Computer Science. He actively mentors Ph.D. students and has advised multiple graduates in complexity theory and related fields. His academic background includes a Mathematics Ph.D. from the University of Illinois, supervised by Carl Jockusch. He approaches type theory as an intersection of formal logic and functional programming. Research interests span measure-theoretic randomness, computational logic, and complexity class separations. His recent work explores connections between theoretical computer science and interdisciplinary fields like physics and statistics. In teaching, Kurtz has instructed courses such as Formal Language Theory, Discrete Mathematics, and Honors Intro Programming. His service contributions include roles in the Computation Institute and Toyota Technological Institute at Chicago. His lab affiliations and collaborative work reflect a strong commitment to advancing theoretical foundations in computer science.

• Philosophy of Religion
• Theories of the Sacred
• Apophatic Theology
• +۳ مورد دیگر

Marija Todorovska is a Full Professor at the Institute of Philosophy, Faculty of Philosophy, Ss. Cyril and Methodius University in Skopje. She teaches undergraduate courses (Introduction to Philosophy, Philosophical Terminology, Ontology, Theories of Religion, Philosophy of Religion) and graduate courses (History of the Notion of God, Theories of the Existence of God). She also co-teaches doctoral electives. Education: BA in Philosophy (2008) MA in Philosophy of Religion (2010) PhD on 'The Diabolical Nature of the Sacred' (2013) Advanced Certificate in Research Ethics (2013) Her research explores: The concepts of divinity across ancient and medieval traditions. Apophatic theology in Hellenistic, Gnostic, and early Christian texts. Ambivalence of the sacred in Mesopotamian, Egyptian, and Byzantine demonology. Philosophy education and curriculum development. Her publications emphasize: Negative theology in Philo of Alexandria and early Church Fathers. Sacred-profane dynamics in contemporary society. Cross-cultural analysis of evil in ancient religions. She serves on editorial boards for Filozofska tribina (Macedonia), Synthesis philosophica (Croatia), and Filozofija (international). As coordinator of the CEEPUS network 'Philosophy and Interdisciplinarity,' she fosters academic collaboration across Europe. No awards or specific grants are noted.