Find Academic Supervisors

• Financial Engineering
• Operations Research
• Stochastic Modeling
• +3 more

Liming Feng is an Associate Professor at the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, and has served as Director of the Master of Science in Financial Engineering (MSFE) program since 2022. His academic career at the university spans from Assistant Professor (2006-2012) to his current role. He earned his Ph.D. in Industrial Engineering and Management Sciences from Northwestern University (2006), an M.S. in Mathematics from Northwestern University (2000), and a B.S. in Mathematics from Beijing Normal University (1997). Ph.D., Industrial Engineering and Management Sciences, Northwestern University, 2006 M.S., Mathematics, Northwestern University, 2000 B.S., Mathematics, Beijing Normal University, 1997 Feng’s research focuses on Financial Engineering, Stochastic Modeling, and Computational Methods. He has contributed extensively to quantitative finance, particularly in options pricing, portfolio optimization, and market impact models. His work leverages advanced numerical methods, Fourier transforms, and stochastic calculus to solve complex financial problems. The trends in his publications highlight expertise in Levy processes, jump diffusion models, and numerical algorithms for financial derivatives. He has developed innovative techniques for Bermudan options pricing, discretely monitored barrier options, and portfolio deleveraging strategies. His articles often intersect Operations Research with Financial Engineering, emphasizing computational efficiency and mathematical rigor. ISE Faculty Fellow (2025) INFORMS Financial Services Section Best Student Research Paper (2013) First runner-up of the 2012 Morgan Stanley Prize for Excellence in Financial Markets Feng has served on editorial boards for Operations Research Letters and Mathematical Finance . He has been recognized repeatedly for teaching excellence, including the Sharp Outstanding Teaching Award (2011, 2022) and multiple entries in the List of Teachers Ranked as Excellent by Their Students (2007-2024). He currently leads the MSFE program and contributes to curriculum development through courses like IE 522 (Statistical Methods in Finance) and IE 527 (MSFE Professional Development).

Bart CammaertsView profile

Professor

• Political Communication
• Media and Communication Studies
• Social Movements
• +3 more

Bart Cammaerts is Professor of Politics and Communication at the Department of Media and Communications , London School of Economics and Political Science (LSE). He previously served as Head of the Department and held academic roles at LSE since 2005, including Lecturer , Senior Lecturer , and Associate Professor . Earlier, he conducted postdoctoral research at LSE (Marie Curie Fellowship, 2003–2005), the University of Amsterdam (2002–2003), and doctoral research at the Vrije Universiteit Brussel (1997–2002). Education: MA in Political Sciences, Vrije Universiteit Brussel (1996) PhD in Social Sciences, Vrije Universiteit Brussel (2002) Research Focus : Interdisciplinary work at the intersection of media and communication studies and political science , emphasizing the dialectic interplay between media and resistance, alternative media, protest movements, and critical analyses of neo-fascism normalization. His methodological approach combines quantitative (surveys, content analysis) and qualitative (interviews, discourse analysis) methods. Publications include books on anti-austerity protests , youth participation in democracy , and mediation of protest movements , reflecting themes like media strategies of activists , symbolic resistance , and hegemonic struggles . He is currently writing books on Dichotomies in Media Theory and the War on Woke . Scientific Awards Marie Curie Fellowship Postdoctoral Funding from EU’s 5th Framework Program Doctoral Supervision : Supervises Jessica Kong and has mentored Jessica Baines , Brooks DeCillia , and Cornelia Reyes Acosta to completion. He has taught postgraduate courses including Mediated Resistance and Activism , Political Communication in Democracies , and Modern Campaigning Politics .

Edward H. AdelsonView profile

Professor

• Computer Vision
• Artificial Touch Sensing
• Neuroscience of Vision
• +4 more

Edward H. Adelson is the John and Dorothy Wilson Professor of Vision Science at MIT, affiliated with the Department of Brain and Cognitive Sciences and the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research spans computer vision, human vision science, and robotics, with a focus on artificial touch sensing and tactile robotics. He has pioneered technologies like the GelSight tactile sensor, enabling high-resolution touch sensing for robots surpassing human skin sensitivity. Adelson holds a PhD in Experimental Psychology from the University of Michigan (1979) and a BA in Physics and Philosophy from Yale University (1974). His career includes roles at MIT since 1987, progressing from Associate Professor to Professor and later the Wilson Chair. He contributed to early vision theories, including the plenoptic function and motion energy models, and has been recognized with prestigious awards like the Helmholtz Prize (2013) and Rank Prize (1992). His research interests include material perception, optical sensing, and the integration of vision and touch. Key innovations include the plenoptic camera, layered representation techniques for motion analysis, and tactile sensors for robotics. Adelson has authored over 300 publications and holds numerous patents in imaging, vision, and robotics. Awards and honors include membership in the National Academy of Sciences and the American Academy of Arts and Sciences. His work bridges neuroscience and engineering, advancing both fundamental understanding and practical applications in robotics and computer vision.

• Democratic theory
• Theories of sovereignty and constituent power
• History of political liberalism and republicanism
• +8 more

Andreas Kalyvas serves as Associate Professor in the Department of Politics at The New School for Social Research, where he teaches courses on liberalism, oligarchy, and political thought. Previously, he taught at Columbia University and the University of Michigan, and has held visiting positions at institutions across Spain, Chile, Germany, Poland, and South Africa. His academic credentials include: PhD in Political Science, Columbia University (2001) MA in Political Science, Columbia University (1994) BA in Political Science and Public Administration, National and Kapodistrian University, Athens (1990) Professor Kalyvas's research explores democratic theory and political thought from ancient to contemporary contexts, focusing on sovereignty, constituent power, tyranny, and citizenship. His work bridges jurisprudence, history, and politics with particular emphasis on emergency rule, oligarchic power, and migration. He is currently finalizing Tyranny Legalized: Republicanism, Dictatorship, and the Enemy Within , examining the normalization of authoritarian practices within legal frameworks. Analysis of his recent publications reveals a sustained investigation into democratic foundations amid contemporary crises. His scholarship consistently connects historical political concepts to modern challenges, especially regarding constituent power, democratic breakdowns, and the tension between legal norms and political emergencies. This trajectory demonstrates increasing engagement with postcolonial perspectives and global democratic struggles while maintaining deep roots in classical political theory. His scholarly recognition includes: Laurance S. Rockefeller Visiting Fellowship at Princeton University (2009-2010) Polity Prize for best journal article (2006) Leo Strauss Award for doctoral dissertation excellence (2002) Professor Kalyvas actively mentors graduate students through dissertation supervision and independent studies, with research supported by prestigious fellowships like the Rockefeller award. His teaching portfolio reflects his research expertise, featuring courses on liberalism in crisis, oligarchy, and political thought that examine historical and contemporary power structures. While no formal lab structure is mentioned, his international collaborations and edited volumes with scholars like Federico Finchelstein demonstrate extensive scholarly networks across political theory and continental philosophy.

Christian BizerView profile

Professor

• Data Integration
• Entity Matching
• Schema Matching
• +5 more

Professor Christian Bizer is a leading figure in web-based systems and data integration at the University of Mannheim , where he chairs Information Systems V: Web-based Systems . His research focuses on integrating data from multiple sources using large language models and LLM-based agents, with applications in product data extraction and DBpedia knowledge graph construction. He co-founded the DBpedia project and initiated the WebDataCommons initiative. Current research areas: Entity matching, schema matching, table annotation, information extraction, data discovery Key projects: WebMall benchmark, WInte.r integration framework, Schema.org analysis His work applies to e-commerce data integration and knowledge graph construction, with empirical studies on schema.org adoption. He supervises PhD students including Alexander Brinkmann and Ralph Peeters. Scientific Awards: Best Paper at iiWAS 2024 SWSA Ten-Year Award at ISWC 2019 Yahoo FREP Award 2015 Semantic Web Challenge winners Teaching includes courses on web data integration, web mining, large language models, and data mining for master's programs. He leads the DWS PhD colloquium and team projects on LLM agents for data integration.

Anush TserunyanView profile

Professor

• Mathematics
• Ergodic Theory
• Combinatorics
• +3 more

Anush Tserunyan is a Professor of Mathematics at McGill University, Canada, and a Visiting Professor at the Unit of Pure and Applied Mathematics (UMPA) at École normale supérieure de Lyon from December 1, 2024, to January 31, 2025. She holds a bachelor's and master's in computer science and applied mathematics from Yerevan State University (2005–2007) and a Ph.D. in Mathematics from UCLA (2013), focusing on finite generators for group actions, equivalence relations, and recursive program complexity. Research Interests: Anush Tserunyan specializes in Ergodic Theory , Combinatorics , and Group Actions , with notable contributions to graph theory, hypergraphs, and Ramsey theory. Her work bridges combinatorial structures with analytic methods, particularly in dynamical systems and descriptive set theory. Collaborations: During her visit to UMPA, she collaborates with teams in Geometry, Groups and Dynamics , and Number Theory , alongside researchers like Benjamin Schraen and Sophie Morel. Her stay includes seminars on GGD, Number Theory, and the 'Actions!' working group. Publications: Her research spans topics like ergodic theorems, disjoint matchings in graphs, and algebraic hypergraphs, reflecting a focus on foundational mathematical structures and their applications.

John PaisleyView profile

Associate Professor

• Machine Learning
• Bayesian Statistics
• Data Science
• +3 more

John Paisley is an Associate Professor of Electrical Engineering at Columbia University's Fu Foundation School of Engineering and Applied Science, and a member of Columbia's Data Science Institute (DSI). He holds a B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Duke University (2004-2010), followed by postdoctoral research in Computer Science at Princeton University and UC Berkeley. His research focuses on Bayesian models, posterior inference techniques for Big Data, and applications in data analysis, recommendation systems, information retrieval, and compressed sensing. He has pioneered methods like Bayesian Gaussian Process ODEs and Double Normalizing Flows, with recent work emphasizing uncertainty quantification in environmental modeling and neuroimaging analysis. His collaborative workflows (e.g., bneR ) address air pollution exposure and PM2.5 concentration uncertainties, combining Bayesian nonparametric ensembles with geospatial data. He has also developed frameworks for neural network interpretability, image denoising, and compressed sensing MRI. Paisley's work bridges statistical theory and applied machine learning, with applications in healthcare, environmental science, and geophysics. His academic contributions include over 50 publications since 2016, spanning topics like deep metric learning, adversarial learning, and variational inference optimization. He maintains an active research group and serves on editorial boards for machine learning and signal processing journals.

Xi LianView profile

Professor

• World Christianity
• Chinese Christianity
• Religious History
• +3 more

Xi Lian serves as the David C. Steinmetz Distinguished Professor of World Christianity at Duke Divinity School and is currently a Yang Visiting Scholar at Harvard Divinity School. His scholarly work examines the complex relationship between Christianity and Chinese society across historical periods. His educational background includes: BA and MA from Fujian Normal University PhD from the State University of New York at Albany Professor Lian's research focuses on: The development of indigenous Chinese Christian movements Religious transformation in post-Mao China Christian missionary history in China Religion's role in cultural and political change He has authored several groundbreaking books including The Conversion of Missionaries: Liberalism in American Protestant Missions in China, 1907-1932 (1997), Redeemed by Fire: The Rise of Popular Christianity in Modern China (2010), and Blood Letters: The Untold Story of Lin Zhao, a Martyr in Mao's China (2018). His current research investigates how homegrown Christianity has emerged as a transformative force in contemporary Chinese public life, offering new moral frameworks in the post-Mao era. Professor Lian's scholarship bridges historical, theological, and sociological perspectives to document how Christian beliefs have been adapted within Chinese cultural contexts, challenging Western-centric narratives about global Christianity.

Sunny XiangView profile

Associate Professor

• Asian/Pacific/American literature and culture
• war, militarism, and imperialism in Asia and the Pacific
• Cold War and mid-century culture
• +14 more

Sunny Xiang is an Associate Professor of English at Yale University, where she teaches and conducts research at the intersection of literature, race, war, and empire. Her work critically examines U.S. military empire in Asia and the Pacific, particularly through aesthetic, cultural, and documentary forms from the mid-twentieth century. She is affiliated with the Department of English in the Faculty of Arts and Sciences at Yale. Ph.D., University of California, Berkeley B.A., Northwestern University Her research focuses on the cultural genealogies of American empire, with an emphasis on how war and militarism shape perception, knowledge, and everyday life. Key areas include Cold War aesthetics, Asian American studies, Pacific studies, critical militarization studies, and feminist science studies. She is particularly interested in how literary and cultural forms reveal the intimate, quotidian, and often invisible operations of empire. Her publications span journals such as ASAP/Journal , Radical History Review , PMLA , and Public Books . Her first book, Tonal Intelligence: The Aesthetics of Asian Inscrutability During the Long Cold War (Columbia University Press, 2020), explores the visual and narrative trope of Oriental inscrutability in relation to U.S. intelligence operations. Her current project, Chemical Apophenia: Air Conspiracies and Skin Connections in the Toxic Tropics , investigates how WWII military science in the Pacific generated new paradigms for detecting toxicity. The articles reflect a consistent engagement with themes of militarized domesticity, aesthetic excess, diasporic memory, and the entanglement of fashion, food, and war in imperial contexts. Mundane Militarisms: War, Archives, and Everyday Life (2024) Militarized Comfort: How to Feel Naked While Wearing Clothes (2023) Bikinis and Other Atomic Incidents: The Synthetic Life of the Nuclear Pacific (2022) Wars of Contemporary Life (2020) Global China as Genre (2019) Sunny Xiang has not been mentioned in relation to any scientific awards or fellowships in the provided text. She teaches courses such as War and Everyday Life, Readings in Comparative World English Literatures, and The Teaching of English. While her advisees or research teams are not listed, her scholarship demonstrates deep engagement with interdisciplinary methodologies and collaborative work, such as with the Mundane Militarisms Collective. She has not indicated any lab affiliations, but her research involves critical archival work and analysis of visual, literary, and cultural materials.

Dorit AbuschView profile

Professor

• Semantics
• Pragmatics
• Visual Narratives
• +5 more

Professor Dorit Abusch is a faculty member in the Department of Linguistics and Philosophy at Cornell University's College of Arts & Sciences. Her research focuses on semantics, pragmatics, and their applications to visual narratives. She explores topics like tense semantics, presupposition triggering, modal logic, and the interplay between language and visual media. Current work extends linguistic methodologies to analyze art forms such as comics, cave paintings, and temple sculptures. Her research interests include formal semantics applied to visual narratives, dynamic semantics, possible world theory, and multimodal discourse representation. She investigates how visual elements like sequential art and pictorial sequences convey temporal progression, aspectual distinctions, and free perception constructions through semiotic frameworks. Recent presentations include talks on applying semantics to film and picturebooks at institutions like MIT and the University of Padua. Her publications emphasize cross-media analysis, with key works published in Linguistics & Philosophy and Sinn und Bedeutung . Abusch has received grants for projects studying visual narratives in Indian art and wall paintings of Rajasthan. These include a 2012-2013 Humanities Research Grant and a Cornell Institute for Social Sciences award. Her work bridges linguistics with philosophy and visual studies, offering innovative frameworks for understanding non-linguistic communication through formal semantic tools.

• Geometric Topology
• Geometric Group Theory
• Low-Dimensional Topology
• +6 more

Prof. Harry Hyungryul Baik is a Tenured Associate Professor at KAIST's Department of Mathematical Sciences since 2017. He holds a PhD from Cornell University (2014) and a B.S. from KAIST (2009), advised by William Thurston, John Hubbard, and Dylan Thurston. His research focuses on geometric topology, geometric group theory, and low-dimensional topology, with notable contributions to mapping class groups, Kleinian groups, and Teichmüller theory. Education: PhD in Mathematics (Cornell, 2014), B.S. in Mathematics (KAIST, 2009). Key research areas include asymptotic translation lengths, laminar groups, and circular orders of groups. He co-leads the KAIST-KIAS joint research group 2K-GATE as Director, emphasizing collaboration between topologists. Research highlights: Characterization of Fuchsian groups via laminations, unsmoothability of mapping class group actions on 1-manifolds, and exponential torsion growth in random 3-manifolds. His work bridges topology with dynamical systems and geometric group theory, often involving collaborations with institutions like KIAS and MPIM. Awards include the Sangsan Prize (2018), Young-KAST membership (2020–2023), and multiple grants from Samsung and POSCO. He advises 7 PhD students and has mentored 15+ alumni, many of whom hold postdoc positions globally. His lab actively hosts conferences like the KAIST Geometric Topology Fair. Labs/Teams: Director of 2K-GATE (KAIST-KIAS), core member of the KAIST Topology Research Group, collaborator with international networks including the Harvard-MIT-Princeton topology axis.

Zhonghai LuView profile

Professor

• Computer Architecture
• Embedded Systems
• Network-on-Chip (NoC)
• +7 more

Zhonghai Lu is a Professor of Electronic Systems Design (specializing in Dependable and Autonomous Systems) at KTH Royal Institute of Technology, part of the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science (EECS). He serves as Program Director for KTH's Embedded Systems master's program and Director of Studies at the Division of Electronics and Embedded Systems. His research focuses on Network-on-Chip (NoC), computer architecture, embedded systems, and Prognostics and Health Management (PHM) of power electronics. He leads a research group exploring in-network processing and embedded intelligence, transforming passive networks into active computational frameworks. Lu holds a BSc from Beijing Normal University (1989), MSc and PhD from KTH (2002, 2007), and an MBA in Innovation and Growth from the University of Turku (2012). He has authored over 240 scientific papers, including journal articles and peer-reviewed conferences, with notable recognitions such as Best Paper Awards at NOCS’2015 and EU HiPEAC, and a Featured Paper in IEEE Transactions on Computers (2020). He serves as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) and has chaired major conferences like HiPEAC’2017 and NOCS’2018. His research group’s recent work includes integrating AI into hardware acceleration, fault-tolerant neural networks, and RUL estimation for power electronics using recurrent neural networks. Lu has secured grants from the Swedish Research Council and Intel Corporation and developed courses like IL2230 (Hardware Architectures for Deep Learning) and IL2233 (Embedded Intelligence), pioneering embedded AI education at KTH. Education: BSc (Beijing Normal University), MSc/PhD (KTH), MBA (University of Turku) Awards: Best Paper Awards (NOCS, EU HiPEAC), Swedish Research Council Grants, Intel Research Gifts Labs/Teams: Research Group on In-Network Processing and Embedded Intelligence

Livia PancottoView profile

Senior Lecturer

• Empirical Banking
• European Banking
• Banking Regulation and Supervision
• +5 more

Dr. Livia Pancotto is a Senior Lecturer in Banking at the Department of Accounting and Finance, University of Strathclyde. She serves as Director of the MSc in International Banking and Finance and Deputy Director of the Responsible Business Institute (ReBI). She holds a PhD and MSc from Bangor University and degrees from Sapienza University of Rome. Her research focuses on European banking regulation, financial stability, and gender diversity's impact on climate finance. She chairs the International Accounting & Finance Doctoral Symposium and edits The European Journal of Finance. Awards include the 2014 Best Banking and Finance Master’s dissertation. She leads research on negative interest rates, non-performing loans, and green lending through EU-funded projects. Education: PhD Banking & Finance (Bangor), MSc (Sapienza), BSc (Sapienza) Research explores empirical banking dynamics, regulatory frameworks, and sustainable finance. Key topics include EU banking union evolution, climate change mitigation via gender-diverse bank boards, and market reactions to policy shocks. Recent work analyzes negative interest rate impacts on bank efficiency and Italy's NPL crisis. She has secured £153k in research funding (2023-2025). Grants: Research Excellence Awards (Strathclyde SRSS) Led workshops on Responsible Business and AI, presented at FSB Financial Innovation Network, and peer-reviewed for top journals. Supervises doctoral candidates through IAFDS. Active in editorial and advisory roles enhancing academic rigor in finance disciplines.

Knut ReinertView profile

Professor

• Algorithmic Bioinformatics
• Genomic Sequence Analysis
• Proteomics
• +7 more

Professor Knut Reinert is a leading figure in algorithmic bioinformatics at the Free University of Berlin, where he holds a professorship in the Department of Mathematics and Computer Science. He also maintains a significant affiliation with the Max Planck Institute for Molecular Genetics in Berlin, where he leads the Efficient Algorithms for Omics Data group. His research spans both institutions through the Reinert Lab, which focuses on developing novel computational approaches for biological data analysis. Reinert's educational background includes a Diploma in Computer Science (1994) and a Doctorate (Dr. Ing./Ph.D., 1999, with honors) from the Max-Planck-Institut for Computer Science and Universität des Saarlandes in Saarbrücken. Prior to his professorship, he worked as a computer scientist under Prof. Gene Myers at Celera Genomics in Rockville, USA (1999-2002). His primary research interests center on algorithmic bioinformatics with specific focus on developing novel algorithms and data structures for biomedical mass data analysis. This includes creating mathematical models for genomic sequence analysis and algorithms for mass spectrometry data to detect differential protein expression between normal and diseased samples. His work bridges the gap between computational tool development and practical biological applications, with particular emphasis on NGS and proteomics data. The publications and projects led by Prof. Reinert demonstrate a consistent focus on advancing computational methods in bioinformatics. His research spans genomic sequence analysis, RNA research (particularly long non-coding RNAs), parallel computing applications, and GPU acceleration for biological data processing. The work shows increasing sophistication in handling large-scale biological datasets through innovative algorithmic approaches. Intel® Parallel Computing Center designation for his lab CUDA Research Center status DFG funding of 530 thousand Euros for RNA research de.NBI funding of 2 million Euros BMBF funded projects 'LIVE-DREAM' and 'EssBar' Prof. Reinert leads multiple significant research projects and has established strong collaborations with international partners including Texas A&M, Kings College London, Eberhardt-Karls Universität Tübingen, Robert-Koch-Institute, and various Turkish institutions. His lab receives funding from major organizations including DFG, BMBF, and Intel. The Reinert Lab maintains active teaching responsibilities at FU Berlin, offering courses at BSc, MSc, and PhD levels using both traditional and innovative learning concepts like e-learning and inverted classrooms. The Reinert Lab consists of two interconnected research groups that work closely with experimental biologists and medical researchers to develop practical computational solutions for real-world biological problems. The lab has established itself as a key player in the German and international bioinformatics community through its development of the widely-used SeqAn library and participation in national infrastructure initiatives.

Anne BOUTINView profile

Professor

• Thermodynamics
• Molecular Simulation
• Porous Materials
• +6 more

Anne BOUTIN is a Research Director at the French National Center for Scientific Research (CNRS) and Professor at the École Normale Supérieure (ENS) in Paris, France. She leads the Department of Chemistry at ENS, focusing on the thermodynamics of confined fluids and molecular simulations of porous materials like metal-organic frameworks (MIL-53, ZIF-8) and zeolites. Education: Habilitation (1999), PhD in Chemical Physics (1992), Graduate of École Normale Supérieure (1992), MSc (1990) – all from University of Paris XI, Orsay. Positions: CNRS Research Fellow (1994–2009, University of Paris XI; 2009–present, ENS), Visiting Scientist at UC Santa Barbara (1999), Postdoctoral at Imperial College London (1993–1994). Research spans thermodynamic modeling of adsorption-induced structural transitions, polarizable force fields for charged materials, fluid dynamics in nanopores, and stability analysis of flexible frameworks. Google Scholar highlights recent work on electrolyte intrusion (2023) and defect impacts in zeolites (2023). Publications emphasize computational approaches to water confinement , gas separation , and material flexibility . Her 41+ peer-reviewed articles reflect expertise in Monte Carlo , molecular dynamics , and force field development . Awards: Nathalie Demassieux PhD Award (1993) CNRS Bronze Medal (1999) Legion of Honor (2017) Teaching: Statistical thermodynamics. Students: Supervised 17 PhD/postdoc directions.