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Julia ChuzhoyView profile

Professor

• Theoretical Computer Science
• Graph Theory
• Approximation Algorithms
• +5 more

Julia Chuzhoy is a Manuel Blum Professor at the Toyota Technological Institute at Chicago (TTIC) and holds a part-time Professor appointment in the Department of Computer Science at the University of Chicago. She is a leading researcher in theoretical computer science with a focus on graph-related optimization problems and approximation algorithms. Her research interests span theoretical computer science, particularly graph theory, approximation algorithms, dynamic algorithms, and hardness of approximation proofs. She has made significant contributions to graph minor theory, routing problems, and algorithmic graph theory. Her recent publications demonstrate expertise in subpolynomial approximation algorithms for graph crossing number, hardness results for node-disjoint paths in grids, polynomial bounds for the grid-minor theorem, and routing in undirected graphs with constant congestion. Her work consistently addresses fundamental questions in algorithm design with strong theoretical foundations. NSF Career award Alfred P. Sloan research fellowship Multiple NSF grants (CCF-1318242, CCF-1616584, CCF-2006464, CCF-2402283) NSF HDR TRIPODS award 2216899 Professor Chuzhoy has advised several PhD students including Ron Mosenzon, Rachit Nimavat (expected graduation Summer 2023), Zihan Tan (graduated Spring 2022), David H.K. Kim (graduated Spring 2018), and Parinya Chalermsook (graduated Summer 2012). She has also mentored numerous summer interns from institutions including MIT, CMU, Princeton, and UIUC. She is an active member of the theoretical computer science community, having served on program committees for major conferences including STOC (as PC chair in 2020), FOCS, and APPROX. She has also served on editorial boards for Algorithmica and SICOMP, and is a member of the SODA and ITCS steering committees.

• Product Management
• Supply Chain Management
• Artificial Intelligence
• +3 more

Amin Kaboli is a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL), holding positions in the School of Mechanical and Process Engineering and the School of Computer and Communication Sciences . As Co-Director of the AI Product Management program , he specializes in teaching students to apply AI/ML principles to real-world product development. His academic roles include designing curricula that blend technical engineering with business leadership, such as courses on Sustainable Products and Production Management. He earned a Ph.D. in Manufacturing Systems & Robotics from EPFL and holds a graduate degree in Industrial Engineering. His leadership training at IMD Business School complements his engineering background, enabling him to advise Fortune 500 corporations like Philip Morris International, Nespresso, and Rolex, as well as Swiss startups. His professional experience includes roles as an executive and COO of a startup, alongside work as an executive coach (PCC-certified). Kaboli’s research interests span AI-driven innovation , supply chain optimization , and sustainability . He explores solutions for energy management in smart grids, waste reduction in construction, and fault detection in industrial machinery. His work integrates fuzzy logic, multi-criteria decision-making (MCDM), and hybrid machine learning frameworks to address complex challenges. He teaches courses such as AI Product Management (focus on practical AI/ML applications), Sustainable Products and Supply Chains (sustainability principles and logistics optimization), Production Management (cost-effective manufacturing strategies), and Continuous Improvement of Manufacturing Systems (process optimization and team leadership). No scientific awards or grants are explicitly listed. His contributions include developing frameworks for eco-city solutions and waste management strategies. Kaboli’s office is located at ME A2 408 , EPFL’s Lausanne campus, where he also engages in administrative and educational leadership roles.

• Theoretical Computer Science
• Computational Complexity
• Optimization Algorithms
• +3 more

Dr. Lucas Slot is a Lecturer at the Department of Computer Science, ETH Zurich, specializing in theoretical computer science, computational complexity, and optimization algorithms. His research focuses on polynomial optimization, sum-of-squares hierarchies, and semidefinite programming, with applications to algorithmic design and complexity analysis. Recent work includes studies on computational thresholds in stochastic block models, convergence rates of optimization hierarchies, and kernel-based methods for high-dimensional inference. His contributions span theoretical foundations and algorithmic advancements in mathematical programming and geometric data analysis. Lacking explicit mentions of academic awards or grants, Dr. Slot’s scholarly activities emphasize computational and mathematical challenges in optimization and discrete geometry. No student advisees are listed in the provided materials.

Tom HutchcroftView profile

Professor

• Probability Theory
• Percolation Theory
• Phase Transitions
• +4 more

Tom Hutchcroft is a Professor of Mathematics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. He specializes in probability theory, particularly percolation theory, focusing on phase transitions in non-Euclidean geometries and fractal structures. In 2024, he was awarded the prestigious Packard Fellowship for Science and Engineering, providing $875,000 over five years to support his research. His work includes groundbreaking contributions such as proving the existence of two phase transitions in negatively curved spaces and solving Schramm's locality conjecture with graduate student Philip Easo. Education Bachelor's degree in Mathematics, University of Cambridge (2013) PhD in Mathematics, University of British Columbia (2017) Postdoctoral Fellowships at the University of Cambridge (2017–2021) Research Interests Hutchcroft explores percolation dynamics in complex systems, including phase transitions, long-range percolation, and critical phenomena. His work bridges pure mathematics and theoretical physics, addressing foundational problems like the behavior of three-dimensional percolation at criticality. He investigates how mathematical frameworks can unify seemingly unrelated physical systems. Awards 2024 Packard Fellowship for Science and Engineering Advising & Grants Hutchcroft advises graduate student Philip Easo and leverages the Packard Fellowship to pursue high-risk, high-reward projects. His research is supported by grants enabling exploration of nonamenable graphs and long-range percolation models. Labs/Teams He collaborates with Caltech's Mathematics Department and participates in interdisciplinary initiatives within the Division of Physics, Mathematics, and Astronomy, contributing to research centers like the Institute for Quantum Information and Matter (IQIM).

• Integrable Systems
• Nonlinear Differential Equations
• Difference Equations
• +3 more

Dr. Peter Van Der Kamp is a Senior Lecturer in Mathematics at La Trobe University's School of Mathematics & Statistics. His research focuses on integrable systems, particularly algebraic and geometric properties of nonlinear differential and difference equations. He has collaborated extensively on projects involving Poisson algebras, Lotka-Volterra systems, and discrete integrable equations. Education: Doctorandus (Theoretical Physics) from Vrije Universiteit (VU Amsterdam), Netherlands PhD (Mathematics) from Vrije Universiteit (VU Amsterdam), Netherlands Research Interests: Dr. Van Der Kamp's work spans integrable systems, with emphasis on: Development of discrete integrable equations Analysis of Lotka-Volterra systems and their superintegrability Study of Darboux polynomials and preserved measures Exploration of boundary conditions in quad equations His research often intersects nonlinear dynamics, algebraic geometry, and mathematical physics. Publications Trends: Recent articles highlight advancements in: Quadratic Poisson algebras and Lambert W-function solutions Trilinear/quadrilinear lattice equations Superintegrable tree-systems and their discretizations New integrable maps in R^4 Collaborations with experts like Quispel and Nijhoff are central to his work. Grants: Australian Research Council (ARC) Discovery Project: 'Discrete integrable systems' (2011–2015) Labs/Teams: Active contributor to the La Trobe University Mathematics group, focusing on discrete integrability and nonlinear systems research.

Yasaman SarabiView profile

Assistant Professor

• Social Network Analysis
• Corporate Governance
• Gender Diversity
• +4 more

Dr. Yasaman Sarabi is an Assistant Professor in Social Research Methods at Heriot-Watt University’s School of Social Sciences, affiliated with the Doctoral Centre. She leads the MSc Social & Behavioural Research Methods programme and global Network Analysis courses (C11NA and H11NA). Her research expertise spans Social Network Analysis (SNA), corporate governance, gender diversity, and quantitative methods. A Fellow of the Higher Education Academy (FHEA) since 2015, she holds a PhD in International Business from the University of Greenwich, with prior involvement in the Centre for Business Network Analysis (CBNA). Her work addresses interdisciplinary problems in business and management, including inter-organisational collaboration, international trade, and science of science. She contributes to UN Sustainable Development Goals through research on gender diversity and STEM publication dynamics. Active in academic service, she serves on the SGSSS Training Network and SNAS committees, and has reviewed for journals like Social Networks and Global Networks . Recent activities include judging the Sustainable International Business Global Poster Competition (2025) and participation in the International Conference on Complex Networks (2025). Key research highlights include analyzing public-private strategic alliances in water infrastructure, gender diversity impacts on corporate performance, and brokerage roles in trade networks. Her work has been cited widely and featured in media discussions about EPSRC-funded research team diversity.

Joseph BramanteView profile

Assistant Professor

• Particle Theory
• Dark Matter
• Cosmology
• +5 more

Joseph Bramante is an Assistant Professor of Physics at Queen’s University, with a joint appointment at the Arthur B. McDonald Canadian Astroparticle Physics Institute. He holds a visiting fellowship at the Perimeter Institute for Theoretical Physics. His research focuses on dark matter, the early universe, and fundamental physics puzzles such as dark matter’s nature, baryon asymmetry, and the Higgs mass hierarchy problem. He explores novel detection methods for dark matter, including underground experiments like SNO+ and PICO, and has contributed to projects like the Future Circular Collider feasibility study. He earned a BA in Liberal Arts from Sarah Lawrence College (2007) and a PhD in theoretical physics from the University of Hawaii (2013). His postdoctoral work included stints at the University of Notre Dame and Perimeter Institute. Current research emphasizes multiply interacting massive particles (MIMPs) and dark matter’s role in astrophysical phenomena like supernovae. Bramante collaborates with experimentalists to design innovative detection strategies, such as using superheated liquids and scintillator doping. His theoretical contributions span cosmology, particle physics, and quantum gravity interfaces. He advises three postdoctoral researchers and actively engages in cross-disciplinary projects at Queen’s and the McDonald Institute. Notable venues for his work include the Journal of Cosmology and Astroparticle Physics and the Future Circular Collider conceptual design reports.

• Optimization
• Quantum Computing
• User Interface Design
• +3 more

Niraj Dayama is an Associate Professor in the Department of Information Technology at Arcada University of Applied Sciences, affiliated with the School of Engineering, Culture and Wellbeing. He holds a Doctor of Philosophy. His research focuses on optimization techniques, quantum computing applications, user interface design, and algorithm development for interactive systems. Dr. Dayama's work bridges computational methods with human-centric design challenges. Educational Background: Doctor of Philosophy (PhD), details of academic programs not explicitly stated in provided texts. Affiliations include Arcada UAS with a primary role in Information Technology education and research. Research Interests: Dr. Dayama explores optimization in diverse domains such as quantum computing ecosystems, user interface layout generation, and scheduling problems. His contributions span algorithm design for grid-based layouts, real-time adaptive interfaces, and combinatorial solutions for UI/UX challenges. Recent work emphasizes leveraging quantum computing for problem decomposition and full-stack quantum software development. Publications reflect a shift toward quantum computing and optimization since 2020, complemented by longstanding engagement with layout design and scheduling algorithms. Notable trends include cross-disciplinary approaches merging computational methods with human interaction principles. No scientific awards or grants are explicitly mentioned in the provided texts. Advising roles or student supervision details are not listed.

Gerard WattsView profile

Professor

• Theoretical Physics
• Conformal Field Theory
• Integrable Quantum Field Theory
• +3 more

Gerard Watts is a Professor of Theoretical Physics at King's College London, affiliated with the Department of Mathematics and the Faculty of Natural, Mathematical & Engineering Sciences. He earned his PhD from the University of Cambridge in 1990 under Peter Goddard. His research focuses on two-dimensional quantum field theory, particularly conformal field theory (CFT) and integrable systems. He has held postdoctoral positions at Durham, Montreal, and Paris, and joined King’s in 1996 via an EPSRC fellowship. Watts has organized numerous workshops, including the UK Integrable and Conformal Field Theory meetings. His grants include funding from EPSRC, the EU, Royal Society, and London Mathematical Society. He currently supervises two PhD students and has mentored five others previously. His work explores defects in CFT, boundary flows, and modular symmetry, with applications to non-equilibrium physics. He is a member of the Centre for Non-Equilibrium Science (CNES) and has contributed to advancing understanding of integrable models and their connections to string theory.

Shaun Hargreaves HeapView profile

Professor

• Political Economy
• Behavioral Economics
• Experimental Economics
• +5 more

Shaun Hargreaves Heap is a Professor of Political Economy at King's College London, based in the Department of Political Economy within the School of Politics & Economics. He holds a PhD from UC Berkeley and has held visiting positions at Concordia University and the University of Sydney. His research focuses on experimental economics, particularly the influence of group membership and social norms on decision-making, and the application of Mill's Harm Principle to welfare economics. He teaches Macroeconomics, Behavioral Economics, and Political Economy. Research interests include behavioral public policy, the political economy of peace and conflict, and interdisciplinary work bridging economics and philosophy. He is affiliated with the Quantitative Political Economy Research Group, the Public Policy and Regulation Research Group, and the Politics, Philosophy, and Economics (PPE) research group. Recent work addresses pandemic policy responses, health-wealth trade-offs, and democratic governance mechanisms. Teaching and supervision include mentoring PhD students using experimental methods or exploring economics-philosophy intersections. His office hours are Wednesdays and Thursdays at Bush House NE, room 7.18.

Shalev Ben-DavidView profile

Associate Professor

• Computational complexity
• Quantum computing
• Theoretical computer science
• +3 more

Shalev Ben-David is an Associate Professor at the University of Waterloo's Department of Computer Science. His research focuses on computational complexity and quantum computing, exploring foundational questions in algorithm design, quantum advantages, and theoretical limits of computation. He holds a PhD from MIT (2017) and a BMath from the University of Waterloo (2011). Education: PhD in Computer Science, MIT, 2017 BMath in Computer Science, University of Waterloo, 2011 His work bridges classical and quantum computational complexity, with contributions to query complexity, oracle separations, and quantum algorithm design. Recent research includes analyzing quantum speedups in symmetric problems and exploring cryptographic applications of quantum tokens. Despite no explicitly listed awards, his prolific publication record reflects sustained academic impact. Advising and grants details are not provided in available texts. His office is located in DC 3128, and further details are accessible via his personal webpage .

Stephen PrattView profile

Professor

• Social Insect Behavior
• Collective Intelligence
• Animal Behavior
• +4 more

Stephen Pratt is a Professor and Associate Director of Graduate Programs in the School of Life Sciences at Arizona State University (ASU). He holds a Ph.D. in Neurobiology and Behavior from Cornell University (1997) and a B.A. in Biology from Harvard University (1988). His research focuses on understanding how leaderless social insect colonies, such as ants and bees, exhibit collective intelligence through decentralized decision-making processes. He applies experimental, mathematical, and computational approaches to study behavioral rules, communication networks, and group cognition in these systems. His work also bridges biology and engineering, translating insights from social insects to inspire robot swarm algorithms and collective transport strategies. Pratt's research interests span social insect behavior, collective decision-making, and the application of biological principles to robotics. He has received the Founder’s Day Faculty Research Award from ASU (2013) and a Long-term Fellowship from the Human Frontier Science Program (1998–2000). His lab, the Social Insect Research Group, explores topics like cooperative transport, nest site selection, and information sharing in ants. He has advised numerous graduate and undergraduate students, contributing to their research in behavioral ecology and sociobiology. Key areas of his work include: Collective intelligence and decision-making in ant colonies Cooperative transport mechanisms in desert ants Bio-inspired robotics and swarm algorithms Behavioral ecology of social insects Pratt’s publications span over three decades, with notable contributions to journals like Annual Review of Entomology , Proceedings of the National Academy of Sciences , and Swarm Intelligence . His research bridges fundamental biology and applied engineering, emphasizing interdisciplinary collaboration.

• Architecture
• Cultural Heritage
• Urban Planning
• +7 more

Dr. Anoma Kumarasuriyar is a Senior Lecturer in Architecture at the School of Architecture & Built Environment, Faculty of Engineering, Queensland University of Technology (QUT). She holds a PhD in Architecture from QUT (1996), focusing on timber houses in Japan and Queensland. Her research spans studio-based pedagogies, cross-cultural architectural education, Asian architecture, heritage conservation, and cultural sustainability. She has authored/co-authored over 20 peer-reviewed publications since 2003, including studies on Bruno Taut’s Glashaus, Queensland heritage sites like Newstead House, and refugee architecture in Jordan. Her work bridges cultural history with contemporary design challenges, emphasizing sustainable practices and adaptive reuse. Collaborations include projects on VR digitization of endangered heritage sites and socio-cultural dimensions of sustainability. Education: PhD in Architecture (1996), Queensland University of Technology Research Interests: Studio-based architectural pedagogy Historical and cultural analysis of architecture Cross-cultural design education Heritage conservation strategies Architecture in non-Western contexts Japanese architectural traditions Publications Trends: Her recent work (2019–2023) emphasizes interdisciplinary approaches to heritage preservation, leveraging emerging technologies like VR. Earlier studies focused on modernist architecture theory and colonial-era buildings in Queensland. She consistently addresses cultural sustainability through both historical and contemporary lenses. Grants & Labs: No specific grants or lab affiliations noted in provided text.

• Distributed Computing
• Algorithms
• Fault-Tolerance
• +4 more

Soma Chaudhuri is an Associate Professor of Computer Science at Iowa State University. She earned her B.S. in Mathematics and Computer Science from MIT (1984), and M.S. and Ph.D. in Computer Science and Engineering from the University of Washington (1987, 1990) under Professor Richard E. Ladner. Her research specializes in theoretical distributed computing, including algorithm design, lower bounds, and impossibility results for asynchronous/semi-synchronous systems. Current investigations focus on leveraging inexact timing information to solve canonical distributed computing problems. She develops techniques for simulating synchronous fault-tolerant algorithms in timing-uncertain environments and establishing complexity hierarchies for shared objects. Dr. Chaudhuri teaches undergraduate and graduate courses in algorithm design, theory of computation, operating systems, and specialized topics in distributed systems. She has served on program committees for major conferences including PODC and ICDCS, and reviews for leading journals in computer science. Her publications establish foundational results in consensus problems, shared memory consistency, and register implementations, contributing to theoretical frameworks for fault-tolerant distributed computing.

Jan FriedrichView profile

Assistant Professor

• Accounting
• Sociology of Accounting
• Financial Reporting
• +3 more

Jan Friedrich is an Assistant Professor in the Financial Reporting & Audit department at ESCP Business School Paris Campus, where his research bridges accounting and sociology to examine standard-setting dynamics and organizational practices in financial reporting. He earned his PhD in accounting from Goethe University Frankfurt, complemented by visiting research positions at Copenhagen Business School, ESSEC Business School, and Sciences Po. His core research spans: Accounting standard-setting processes Financial market regulation Environmental accounting Organizational memory work Sociology of accounting professions Occupational dynamics in regulatory frameworks Analysis of his recent publications reveals growing interdisciplinary engagement with legal theory and sustainability science, particularly in transnational accounting governance and rights-based environmental accounting approaches. He teaches International Financial Reporting (IFRS) across the Master in Management and Big Data and Business Analytics programmes.