Find Academic Supervisors

• Statistics
• Optimization
• Machine Learning
• +3 more

Andrew Li is an Associate Professor of Operations Research at Carnegie Mellon University's Tepper School of Business since 2024, previously serving as Assistant Professor since 2018. His research bridges statistics, optimization, and machine learning with applications to healthcare operations and retail management. Current teaching: Optimization, Business Analytics Capstone, and Topics in Optimization and Statistics PhD from MIT's Operations Research Center (2018), BS in Operations Research/Applied Mathematics from Columbia University (2012) Research Focus: Dr. Li develops data-driven decision frameworks for complex systems. Key areas include: Experience-based learning models with fairness constraints (organ allocation) Anomaly detection in low-rank matrices (retail inventory accuracy) Nanoparticle-based diagnostic systems for CAD and Alzheimer's Nonstationary demand forecasting in supply chains Publication Trends: Recent work combines bandit algorithms with healthcare applications (split liver transplants, CAD detection) and retail operations (inventory accuracy). Theoretical contributions include regret-optimal policies and entrywise anomaly detection guarantees. Scientific Honors: INFORMS Nicholson Award (2018) INFORMS Pierskalla Award (2021) NSF CAREER Award (2023) Professional Leadership: Active in INFORMS and CMU committees including MBA Analytics Curriculum, Thompson Award, and ENAiBLE AI-driven retail collaborative co-founder since 2021.

Pascale BironView profile

Professor

• Hydro-geomorphology
• River Restoration
• Floodplain Management
• +3 more

Pascale Biron is a Professor in the Department of Geography, Urban Planning and Environment at Concordia University, Montreal. She holds a Ph.D. in Geography from Université de Montréal (1995) and has been with Concordia since 1998. Her research focuses on river dynamics, stream restoration for fish habitat, flood modeling, and climate change impacts. She specializes in hydrogeomorphology, river management in agricultural watersheds, and numerical modeling of fluvial processes. Research Interests: Her work includes river restoration strategies, flood risk assessment using LiDAR technology, and the 'river freedom' concept promoting ecosystem resilience. She collaborates closely with government agencies to translate research into practical river management policies. Professional Affiliations: Canadian Geomorphology Research Group, Canadian Association of Geographers, American Geophysical Union, GRIL (Limnology Research Group), and RIISQ (Quebec Flood Risk Network). Publications & Research: Recent studies address global salmonid biomass patterns, fluvial hazard detection via machine learning, and large-scale flood modeling. She supervises 19 graduate students in Ph.D./M.Sc. programs in Geography and Environmental Studies, focusing on topics like river confluence hydraulics and agricultural stream restoration. Grants & Funding: Active projects include river dynamics in fish habitats, flood modeling for road infrastructure vulnerability, and computational fluid dynamics simulations of river flows. She also leads research on societal dimensions of river restoration and policy frameworks for flood resilience.

Simon DobsonView profile

Professor

• Complex Systems
• Sensor Systems
• Data Analytics
• +3 more

Simon Dobson is a Professor of Computer Science and Deputy Head of the School of Computer Science at the University of St Andrews. His research focuses on complex systems, sensor analytics, computational tools for simulation, and data analytics. He leads grants exceeding EUR30M, including a £5M EPSRC-funded programme in Sensor Systems Software. He is a Fellow of the Royal Society of Edinburgh (2020) and advises the Scottish government. Education: BSc (University of Newcastle), DPhil (University of York), both in Computer Science. Professional: Chartered Engineer, Fellow of the British Computer Society. Research Interests: Complex systems, network science, higher-order networks, epidemiological modeling, and sensor data integration. Teaching: CS4203 (Computer Security), CS5728 (Complex Systems Modelling). Supervises PhD/MSc projects. Awards: Includes RSE Fellowship, BCS Fellowship, and multiple leadership roles in conferences and committees.

Mohammadtaghi HajiaghayiView profile

Professor

• Design and Analysis of Algorithms
• Approximation Algorithms
• Fixed-Parameter Algorithms
• +8 more

Mohammadtaghi Hajiaghayi is the Jack and Rita G. Minker Professor of Computer Science at the University of Maryland, College Park. He is affiliated with the Robert H. Smith School of Business and holds Research Affiliate positions at MIT CSAIL and the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS). His research focuses on algorithms, game theory, and network design, supported by NSF, ONR, and industry grants. He has received prestigious awards including ACM Fellow (2018) and EATCS Nerode Prize (2015) for his work on bidimensionality theory. Education: PhD from MIT (2005), postdocs at CMU and MIT, MSc from University of Waterloo, and BSc from Sharif University. He teaches courses like Data Science and Algorithms at UMD. Industry experience includes roles at Amazon, Google, and AT&T Labs. Over 20 students have graduated under his advisement, many in academia and industry. His work spans approximation algorithms, game theory, and big data. Projects include BigDND with Erik Demaine. He serves on editorial boards of Algorithmica, SODA, and others. Awards also include IEEE Fellow (2020) and Blavatnik Honoree (2020).

• Artificial Intelligence
• Operations Research
• Revenue Management
• +3 more

Yuri Levin is a Professor at the Smith School of Business, Queen’s University, where he holds the Stephen J.R. Smith Chair of Analytics and serves as Founding Executive Director of the Smith School of Business Analytics and AI. He also leads the Scotiabank Centre for Customer Analytics. His research focuses on Analytics & AI, with expertise in revenue management, dynamic pricing, and strategic consumer behavior. Levin holds a Ph.D. in Operations Research from Rutgers University and degrees in Economics and Applied Mathematics from Belarus State University. Levin’s academic contributions include co-winning the 2013 INFORMS Revenue Management and Pricing Practice Prize and the 2009 INFORMS COIN-OR Cup. He has advised companies like Scotiabank, Loblaws, and McDonald’s on pricing strategies and consumer analytics. As an Associate Editor of Operations Research , he shapes academic discourse in operations research and pricing strategies. Education: Ph.D. in Operations Research, RUTCOR, Rutgers University (2001) B.S. in Economics, Belarus State University (1998) M.S. (Honours) in Applied Mathematics, Belarus State University (1998) His research explores dynamic pricing models under social influence, strategic consumer behavior, and revenue management in hospitality and retail industries. He has pioneered methodologies for optimizing pricing strategies in networked markets and developed algorithms for cargo capacity management. Awards: 2010 Queen’s School of Business Award for Research Achievement 2003 New Researcher Achievement Award Levin’s teaching spans MBA, Master of Management Analytics (MMA), and executive education programs, covering analytical decision-making and pricing optimization. His advisory work includes roles as a Visiting Professor at the Skolkovo Moscow School of Management and the University of Cambridge’s Judge School of Business.

• Robust Statistics
• Dimension Reduction
• Meta-Analysis
• +3 more

Professor Luke Prendergast is the Deputy Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University (LTU) and holds a Professorship in the Department of Mathematics and Statistics. He previously served as Head of Department (2014–2020) and led LTU's Statistics Consulting Platform. His research focuses on robust statistics, meta-analysis, dimension reduction, and applied statistics, leading the DRAMA research group. Collaborations span fields like endocrinology, disability studies, and respiratory health. He actively contributes to research grants, including projects on Prader-Willi syndrome and exercise for disability populations. Professor Prendergast's recent work emphasizes statistical software development (e.g., the rquest package) and applications in biostatistics, such as metabolomics analysis and health intervention fidelity. His articles address topics like quantile-based hypothesis testing, geospatial accessibility for disability care, and motivational interviewing efficacy. Professional roles include NHMRC grant review panels, editorial boards for Nutrients and Respirology , and leadership in the Statistical Society of Australia (SSA Vic). His teaching includes courses in meta-analysis, linear models, and data-based critical thinking. Grants funded projects on exercise programs for cerebral palsy populations and community-university partnerships for disability inclusion. Luke's work bridges statistical theory with real-world health challenges, emphasizing robust methodologies and interdisciplinary collaboration.

Lars LinsenView profile

Professor

• Interactive Visual Analysis
• Medical Visualization
• Scientific Visualization
• +4 more

Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.

Biondo BiondiView profile

Professor

• Seismic Imaging
• Geophysics
• Computational Geosciences
• +6 more

Biondo Biondi is the Barney and Estelle Morris Professor of Geophysics at Stanford University, affiliated with the School of Earth Sciences. He leads the Stanford Exploration Project and holds roles such as Chair of the Geophysics Department (2019–2022) and Director of the Stanford Earth Imaging Project (1998–Present). His research focuses on seismic imaging algorithms, computational geophysics, and fiber-optic sensing technologies. He earned his Ph.D. (1990), M.S. (1987) in Geophysics from Stanford, and M.Sc. in Electrical Engineering from Politecnico di Milano (1984). Dr. Biondi's research emphasizes improving seismic data imaging through advanced computational methods. He pioneered urban seismic monitoring using preexisting telecommunication fibers, enabling cost-effective subsurface analysis. His work integrates machine learning and high-performance computing to address challenges in reservoir imaging, CO2 monitoring, and infrastructure health. Key research areas include distributed acoustic sensing (DAS), ambient noise tomography, and inverse theory applications. He has authored over 180 publications and received awards like the SEG Honorable Mention (2019, 2016, 2009) and the Distinguished Instructor Short Course (2007). His teaching includes courses like 3-D Seismic Imaging and Reflection Seismology, and he advises graduate students in geophysics and computational science. Collaborations span industry (e.g., Schlumberger, Saudi Aramco) and global institutions. Biondi’s administrative contributions include co-directing the Stanford Earth Sciences Algorithms and Architectures Initiative and serving on editorial boards like the SIAM Journal on Imaging Sciences. His lab’s innovations bridge geophysics with emerging technologies, advancing both academia and industry applications in energy, environment, and urban infrastructure.

Edwin van der HeideView profile

Lecturer

• Sound Art
• Interactive Installations
• Spatial Composition
• +3 more

Edwin van der Heide is a part-time Lecturer and researcher at Leiden University, affiliated with the Leiden Institute of Advanced Computer Science (LIACS) and the Academy for Creative and Performing Arts (ACPA). His work bridges sound, space, and interaction through installations, performances, and environments. Key roles include: Co-head of ArtScience Interfaculty (Royal Conservatoire & Royal Academy of Art, The Hague) until 2016 Edgard Varèse Guest Professor at TU Berlin (2009) Invited artist at Le Fresnoy (France) and HKB Bern University of the Arts (2019) Research Interests: Spatial sound composition, audience interaction, interdisciplinary art, and the intersection of technology with auditory perception. Notable projects include Whispering Wind (permanent installation at Leiden University) and Spiral of Time (MACBA, Barcelona). Recent Articles & Exhibitions (2023–2024): Focus on large-scale installations like Pneumatic Sound Field and Spiral of Time , emphasizing public engagement and spatial acoustics. Awards: Witteveen+Bos Art+Technology Award (2009), Best Paper Award for BAI (摆) (2018). Grants & Labs: Collaborations with institutions like NCCA (Russia), MAXXI (Italy), and involvement in projects like Evolving Spark Network (global sound art initiatives).

Kerry TaylorView profile

Associate Professor

• Ontologies
• Semantic Web
• Linked Data
• +5 more

Kerry Taylor is an Associate Professor (Data Science) at the School of Computing, Australian National University (ANU). She holds visiting roles at the University of Surrey (UK) and University of Melbourne. Her career spans 20 years at CSIRO, UN big data projects with ABS, and interdisciplinary research in data management, IoT, and semantic technologies. She lectures in data mining and convenes ANU's postgraduate applied data analytics programs. Education includes a BSc (Hons 1) in Computer Science from UNSW (1983) and a PhD in Computer Science and Technology from ANU (1996). She co-chaired the W3C/OGC Spatial Data on the Web working group (2015-2017) and serves on editorial boards for Knowledge-Based Systems and International Journal of Distributed Sensor Networks . Research focuses on ontologies, semantic web, machine learning in IoT, and spatial data systems. Active projects include government information frameworks, distributed IoT facilities, and sensor data integration. Her work emphasizes interdisciplinary applications of logic-based and semantic approaches to data challenges.

Satish RaoView profile

Professor

• Algorithms
• Combinatorial Optimization
• Graph Theory
• +4 more

Satish Rao is a Professor in the Computer Science Division at the University of California, Berkeley. He is affiliated with the Simons Institute for the Theory of Computing and the Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley (CLIMB). His research focuses on algorithms, combinatorial optimization, graph theory, and theoretical computer science with applications to computational biology and machine learning. Rao has held teaching roles for courses such as CS 70 (Discrete Mathematics and Probability Theory) and CS 270 (Spring 2024). He has been recognized with prestigious awards including ACM Fellow (2013), the Delbert Ray Fulkerson Prize (2012), and the Okawa Research Grant (1999). Research Interests: Algorithm design, graph algorithms, combinatorial optimization, computational biology, and machine learning. Key Contributions: Pioneering work on metric embeddings, approximation algorithms, and network flow problems. Notable publications include foundational papers on tree metrics, distributed object location, and electrical flow-based optimization. Rao’s work bridges theoretical computer science with practical applications, including contributions to phylogeny estimation, anomaly detection, and parallel computing frameworks like the BSP model.

Jacinta C. BeehnerView profile

Associate Professor

• Primatology
• Evolutionary Biology
• Sexual Conflict Theory
• +3 more

Dr. Jacinta C. Beehner is an Associate Professor in the Department of Anthropology & Psychology at the University of Michigan. Her research focuses on sexual conflict theory, reproductive strategies in primates, and the physiological and behavioral mechanisms underlying these dynamics. She directs the Core Assay Facility/Beehner Endocrine Laboratory and co-directs the Simien Mountains Gelada Research Project, Capuchins at Taboga, and the Evolution and Human Adaptations Program. Her work examines non-human primates like geladas, capuchins, and baboons in natural African and American habitats. Key themes include infanticide avoidance, hormonal responses to environmental stress, and the evolutionary implications of reproductive trade-offs. Recent studies highlight the impact of climate change on primate health, the role of social status in parasite resistance, and hormonal adaptations to high-altitude environments. Beehner has contributed to over 60 peer-reviewed articles since 2015, spanning topics from primate social networks to genomic adaptations. Her fieldwork emphasizes integrative methods combining endocrinology, genetics, and behavioral observation. She has presented at international forums like the National Geographic Explorer’s Festival and collaborates across disciplines to advance primate conservation and evolutionary biology.

• Quantum Optics
• Atomic Physics
• Quantum Information Science
• +5 more

Jacob P. Covey is an Assistant Professor in the Department of Physics at the University of Illinois at Urbana-Champaign (UIUC). He holds a Ph.D. in Physics from the University of Colorado Boulder (2017) and B.S. in Engineering Physics from the University of Wisconsin-Madison (2011). His research focuses on quantum optics, atomic physics, and quantum information science, particularly in quantum control of ultracold atoms and molecules, superradiance phenomena, and quantum networking. He leads the Covey Lab, which explores topics such as neutral atom quantum processors, Rydberg atom interactions, and precision measurement with optical clocks. Academic Positions: Assistant Professor at UIUC (2020–present); Richard Chace Tolman Postdoctoral Scholar at Caltech (2017–2020). Research highlights include pioneering work on Dicke superradiance in ordered atomic arrays and telecom-band quantum networking with Yb-171 atom arrays. He teaches undergraduate courses in mechanics, electromagnetism, thermodynamics, quantum physics, and quantum information. Scientific Awards: NSF CAREER Award (2024), Young Investigator Awards from AFOSR (2023) and ONR (2022), Springer Thesis Award (2018), and multiple fellowships including the Richard Chace Tolman Postdoctoral Fellowship (2017). His work bridges experimental and theoretical advances in quantum technologies, with contributions to quantum state control, precision metrology, and many-body quantum systems.

Ivan GrigorievView profile

Lecturer

• Russian Politics
• Business-State Relations
• Constitutional Courts
• +3 more

Dr. Ivan Grigoriev is a Lecturer in Russian Politics at King’s Russia Institute, part of the School of Politics & Economics within the Faculty of Social Science & Public Policy at King’s College London. His research focuses on judicial politics, business-state relations in Russia, post-Soviet reforms, and constitutional dynamics. He teaches courses such as 7YYR0002, 6YYR0002, and 4YYR0001, and supervises PhD studies on Russian political topics like federalism, elections, and business-state interactions. Grigoriev’s research interests span constitutional courts under authoritarianism, the structure of Russian society, and international organizations’ roles in post-Soviet governance. His work appears in journals like Post-Soviet Affairs , Russian Politics , and Democratization . His recent publications analyze topics such as elite dynamics in color revolutions, EU leadership programs in Eurasia, and the role of law clerks in Russia’s Constitutional Court. While no specific awards are mentioned, his contributions were noted at King’s annual awards events in 2024. Grigoriev’s advising focuses on Russian political phenomena, including authoritarian modernization and labor reforms. His research often bridges theoretical frameworks with empirical analysis of institutional adaptations under autocracy.

Tyler H. SummersView profile

Assistant Professor

• Feedback Control
• Optimization in Complex Dynamical Networks
• Electric Power Networks
• +4 more

Dr. Tyler H. Summers is an Assistant Professor of Mechanical Engineering at the University of Texas at Dallas (UTD), with an affiliate appointment in Electrical Engineering. He holds a PhD in Aerospace Engineering from the University of Texas at Austin (2010) and completed a postdoctoral fellowship at ETH Zurich (2011–2015). His research focuses on feedback control and optimization in complex dynamical networks, including electric power grids and distributed robotics. Key contributions include stochastic optimal power flow methods, distributed formation control algorithms, and robust control design under uncertainty. Education: PhD in Aerospace Engineering (University of Texas at Austin, 2010) M.S. in Aerospace Engineering (University of Texas at Austin, 2007) B.S. in Mechanical Engineering (Texas Christian University, 2004) His research interests emphasize theoretical and computational tools for cyber-physical systems, including power networks and robotic teams. Notable achievements include a NSF CAREER Award ($500K) and an Army YIP grant ($350K). He leads the Control, Optimization, and Networks (COIN) Lab, which develops algorithms for robust control and distributed optimization. Recent work addresses challenges in integrating renewable energy into power systems and enabling safe autonomous robotics in uncertain environments. Grants and projects involve collaborations with institutions like the University of Melbourne and the Australian National University. Grants & Awards: NSF CAREER Award (2021) Army Research Office YIP (2017) Air Force Office of Scientific Research (2019) Lab & Team: The COIN Lab focuses on interdisciplinary projects involving students and postdocs in control theory, robotics, and optimization.