Diffusion Models Professors and Supervisors | ApplySharif

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Xinlin TangView profile

Associate Professor

Florida State UniversityUnited States

Xinlin Tang is an Associate Professor at the College of Business, Florida State University (FSU), and serves as Doctoral Coordinator for the Management Information Systems (MIS) Ph.D. program. She teaches core and elective IS courses at both undergraduate and graduate levels, including information technology management and IT project management. Education : Ph.D. in Computer Information Systems (Georgia State); M.S. in MIS (University of South Carolina); M.A. in English Literature (Beijing Foreign Studies University); B.S. in Architecture (Tsinghua University). Her research focuses on the intersection of information system strategy and interorganizational relationship management . Key themes include IT-enabled governance, innovation, knowledge management, and digital intermediation. She has published in top journals such as Information Systems Research , Journal of Operations Management , and IEEE Transactions on Engineering Management . Selected publications highlight her work on IT-enabled business models, supplier portfolio dynamics, structural embeddedness in B2B networks, and e-procurement innovation. Her research often bridges theoretical frameworks with empirical validation in digital transformation contexts. Scientific Awards : Co-PI for NSF China Junior Faculty Research Grant ($26,000) Winner of 2006 Harriet Fulbright Dissertation Grant ($10,000) Nominated for FSU Teaching Award (2008, 2011) She has contributed to the academic community through editorial reviews and curriculum development for MIS programs.

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Vasil Georgiev TsunizhevView profile

Professor

Sofia University "St. Kliment Ohridski"Bulgaria

Vasil Georgiev Tsunizhev is a Professor of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University, with office hours Monday and Wednesday 13:00-14:00 in room FMI-110. Contact: v.georgiev@fmi.uni-sofia.bg, +359 2 8161-594. His research spans cloud computing, distributed systems, and grid technologies with emphasis on resource management, load balancing, and service modeling. Key contributions include numerical solutions for cloud servicing, distributed coordination mechanisms, and fault-tolerant information services. His work integrates open-source components and addresses scalability challenges in cloud environments. Analysis of his 2009-2015 publications reveals consistent focus on cloud infrastructure optimization, with recurring themes in resource frameworks, quality-of-service models, and distributed coordination. His research demonstrates strong technical depth in numerical modeling and system architecture while addressing real-world scalability and fault tolerance requirements. Professor Tsunizhev collaborates internationally through projects like CoreGRID (contributing to grid security white papers) and works with researchers including R. Zhelev and L. Kirchev. His laboratory work focuses on commodity grid platforms and lightweight resource management systems for distributed computing environments.

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Xiaofeng LiuView profile

Assistant Professor

Harvard UniversityUnited States

Xiaofeng Liu is an Assistant Professor at Yale University School of Medicine in the Departments of Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Previously, he held faculty positions at Harvard Medical School and research roles at Massachusetts General Hospital and Beth Israel Deaconess Medical Center. PhD in Mechatronics from University of Chinese Academy of Sciences Dual Bachelor's degrees in Automation (Wang-Daheng Elite Class) and Communication from University of Science and Technology of China His research integrates trustworthy AI, medical imaging, and data science to improve diagnosis, prognosis, and treatment monitoring for neurological disorders, cancer, and cardiovascular diseases. Key focus areas include domain adaptation techniques, diffusion models, and interpretable AI systems. Led special issues in IEEE Transactions on Pattern Analysis and Medical Image Analysis Developed novel frameworks like Ordinal UDA and Memory-Consistent Adaptation Scientific accolades include the Trailblazer R21 Award (NIBIB), OpenAI Research Award, and National Artificial Intelligence Research Resource Pilot Award. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively contributes to MICCAI and NIH review panels. His lab at Yale (XLiu Lab) investigates neural basis of intelligence to inspire AI development, with applications in brain tumor segmentation, cardiac imaging, and cross-modal medical diagnostics.

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Michele DolceView profile

Lecturer

Swiss Federal Institute of Technology in LausanneSwitzerland

Michele Dolce is a Lecturer and Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Chair of Mathematical Analysis, Calculus of Variations and PDEs (AMCV). He previously held positions as a Postdoc at EPFL and a Research Associate at Imperial College London, where he worked under Prof. Michele Coti Zelati. His academic journey includes a PhD from the Gran Sasso Science Institute. Current affiliation: EPFL, School of Basic Sciences (SB), Department of Mathematics (MATH), AMCV Past affiliation: Imperial College London His research focuses on the mathematical analysis of Partial Differential Equations (PDEs) in fluid dynamics and kinetic theory. Key areas include hydrodynamic stability, long-time behavior of viscous vortex systems, and time-decay properties of kinetic models like the Boltzmann and Wave Kinetic Equations. Recent work explores vortex merging phenomena and Taylor dispersion in rotationally symmetric flows. Scientific activities include organizing workshops such as "Long time dynamics in random and deterministic systems" (2025) and co-organizing events like the "Deterministic and random features of fluids" summer school (2023) and the "Enjoying Probability and Fluids in Lausanne" workshop (2023). His publications span journals including Communications in Mathematical Physics, Archive for Rational Mechanics and Analysis, and Journal of Mathematical Fluid Mechanics. Supported by Swiss National Science Foundation (SNF Ambizione grant PZ00P2_223294) Partially funded by GNAMPA (INdAM group)

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Qin LiView profile

Associate Professor

University of South CarolinaUnited States

Qin Li is an Associate Professor in the Mathematics Department at the University of Wisconsin-Madison. She holds affiliations with the Wisconsin Institutes for Discovery and serves as a senior PI at the Institute for Foundations of Data Science. Her research focuses on numerical analysis, scientific computing, and inverse problems, with a strong emphasis on kinetic theory and multiscale PDEs. Her work spans computational methods for inverse transport and radiative transfer equations, Bayesian approaches in optical tomography, and optimization techniques for solving stochastic and deterministic PDEs. Recent publications highlight applications of diffusion models, Wasserstein gradient flow, and random sampling in inverse problems, as well as control theory for Vlasov-Poisson systems and reconstruction of chemotaxis kernels. She leads a research group within the Mathematics Department and has received funding from the National Science Foundation (NSF), the Office of Naval Research (ONR), and the Wisconsin Alumni Research Foundation (WARF). Her lab, Kinetic At Madison, explores nonlinear hyperbolic PDEs and their applications. She also contributes to teaching as a TA Supervisor.

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Ohad FriedView profile

Associate Professor

Max Planck Institute for InformaticsGermany

Ohad Fried is an Associate Professor of Computer Science at Reichman University. He was previously a postdoctoral research scholar at Stanford University under Prof. Maneesh Agrawala and completed his PhD with Prof. Adam Finkelstein as part of the Princeton Graphics group. He holds an M.Sc. in Computer Science and a B.Sc. in Computational Biology from The Hebrew University. His research lies at the intersection of computer graphics, computer vision, and Generative AI , focusing on tools, algorithms, and paradigms for photo and video editing and synthesis . His work has been widely recognized in top conferences including CVPR, SIGGRAPH, and ECCV, with recent contributions to tiled diffusion models, expressive 4D facial motion generation, and synthetic image detection. Ohad has received numerous awards, including the Israel Science Foundation personal research grant (2021) , the Outstanding faculty researcher at Reichman University (2022) , and the Siebel Scholar award (2017) . He has advised multiple students in research projects, and his work is covered by media outlets like Wired , The Washington Post , and CNN . Teaching roles include courses at Reichman University such as "GenAI for Games & Entertainment" and "Synthetic Media Detection", and at Stanford University "Computational Video Manipulation". Key Research Themes: Neural Rendering Diffusion Models 3D Facial Animation Image/Video Editing Media Forensics Scientific Awards: ISF Personal Grant (2021) Siebel Scholar (2017) Google PhD Fellowship (2014-2016) Gordon Y.S. Wu Fellowship (2012-2013) Excellence Scholarships

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Jörg KnielingView profile

Professor

HafenCity University HamburgGermany

Prof. Dr.-Ing. Jörg Knieling (HafenCity University Hamburg) specializes in Urban Planning and Regional Development , focusing on sustainable metropolitan governance, climate resilience, and land use policy. As co-chair of Hamburg's Senate Climate Advisory Board , he drives policy recommendations on net-zero land consumption , climate action plans , and spatial governance reform . Co-chair, Hamburg Climate Advisory Board (2021–present) Member, Advisory Council for Spatial Development, German Federal Ministry Co-leader, DFG Research Training Group 'City Science Lab' Coordinator, EU projects 'SMARTilience', 'RESCUE', 'Area21' His research explores climate-resilient urban governance through comparative studies of cities like Halle (Saale) and Mannheim , emphasizing collaborative planning and smart city technologies . Recent work addresses heat action planning , spatial equity , and digital policy tools for sustainable development. Key publication trends include land consumption reduction (30 ha/day target), urban-rural partnerships , and AI in spatial planning . His Urban Governance Toolbox project (2023) exemplifies solutions for municipal climate resilience. Students under his supervision include: Leon Thümer (B.Sc., 2020 - 'Co-Creation in Real Estate') Laura-Darleen Klein (M.Sc., 2023 - 'Age-Friendly Cities') Charlotte Muhl (M.Sc., 2018 - 'Urban Commons') He leads the Urban Planning and Regional Development department, mentoring 12+ research associates and coordinating interdisciplinary projects with institutions like Goldsmiths University , Leuphana University , and Georgia Tech .

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Laura AlvarezView profile

Assistant Professor

Max Planck Institute of Colloids and InterfacesGermany

Laura Alvarez is a Junior Chair (Tenure Track) at the University of Bordeaux since 2022, conducting research at the Paul Pascal Research Center (CRPP), a joint CNRS-University of Bordeaux unit. Her office is located at B-224, 115 Avenue du Dr Albert Schweitzer, 33600 Pessac, France, with contact via (+33) 05 56 84 30 27 or laura.alvarez-frances@u-bordeaux.fr. She leads the BIO 2.0 team's research on active matter and colloidal systems. Her educational trajectory includes: PhD at University of Bordeaux and KU Leuven (2013-2016) under Prof. MP Lettinga and Dr. Eric Grelet Postdoctoral research at ETH Zurich (2017-2021) with Prof. Lucio Isa SNSF Spark postdoctoral fellowship (2020-2021) Her research centers on Active Matter , Chemical Communication , and Bio-inspired microsystems , investigating active liposome design, colloidal-lipid membrane interactions, and collective colloidal behavior. Key methodologies include optical tweezers and microfluidics for studying enzymatic particle navigation and colloidal lattice assembly. Her publication record (2017-2023) reveals a strong focus on programmable active colloids and microfluidic applications , with significant contributions to artificial microswimmers and reconfigurable systems appearing in Nature Communications, PNAS, and Physical Review Letters. Emerging trends show increasing emphasis on biomedical applications of active matter. Key recognitions include: Spark postdoctoral grant (SNSF, 2020) IdEx PhD fellowship (2013) She secured major grants including ANR JCJ Project MYMESYS (2023) and France-Berkeley Fund (2023), while her mentoring role involves graduate student supervision through University of Bordeaux's tenure-track framework. As BIO 2.0 team lead at CRPP, she directs experimental work on active colloidal particles using microfluidic platforms and optical manipulation, maintaining active collaborations with ETH Zurich, University of Bordeaux, and international partners across Europe.

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Michel LarocheView profile

Professor

Concordia UniversityCanada

Michel Laroche serves as Professor of Marketing and holds the Royal Bank Distinguished Professorship at Concordia University's John Molson School of Business. He maintains active research leadership through editorship of the Canadian Journal of Administrative Sciences and extensive scholarly contributions across global marketing domains. His educational background includes a Diplôme d'ingénieur from École Centrale de Paris, M.S.E. from Johns Hopkins, and M.Ph./Ph.D. from Columbia University, complemented by an honorary Doctor of Science from the University of Guelph. This multidisciplinary foundation underpins his research approach. Consumer behavior modeling Social media/digital marketing analytics Cross-cultural retailing dynamics Advertising effectiveness in global contexts Internet of Things consumer adoption Artificial intelligence in marketing systems His publication portfolio demonstrates consistent innovation in digital consumer behavior, with recent work examining social commerce cultural dynamics, TikTok authenticity metrics, and pandemic-driven media consumption patterns. Articles consistently integrate technological advancement with deep cultural analysis. Fellow of the Royal Society of Canada Recipient of the Jacques-Rousseau Medal for multidisciplinary research Living Legend of Marketing Award (HEC-Montreal) Hans B. Thorelli Award for international marketing research JBR Outstanding Associate Editor Award (namesake) Laroche has supervised 64 M.Sc. and 27 Ph.D. theses while securing major funding from SSHRC and FQRSC. His editorial leadership spans 16 years as Managing Editor of the Journal of Business Research and current Editor-in-Chief role at CJAS , establishing significant infrastructure for marketing scholarship. Professional service includes presidential roles in ASAC and AMS, plus extensive journal editorial board participation.

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Geoffrey HintonView profile

Professor

University of British ColumbiaCanada

Geoffrey Hinton is a Professor in the Department of Computer Science at the University of Toronto , where he has been a pivotal figure in advancing artificial intelligence research. His work focuses on neural networks, deep learning, and machine learning, revolutionizing how machines process information and learn from data. With collaborations spanning institutions like NYU and IIT Mumbai, Hinton’s influence extends beyond academia into public discourse through lectures like the Romanes Lecture (2024) . His research explores Deep Belief Networks , Gradient Methods , Neural Network Architectures , and Probabilistic Models , with recent publications addressing novel algorithms like the Forward-Forward Algorithm and frameworks for Panoptic Segmentation . Though he no longer accepts students, current advisees include Jimmy Lei Ba and Cem Anil. Hinton’s contributions to AI are complemented by media engagements, including CBS 60 Minutes (2023) and CNN Amanpour (2023) , reflecting his role as a thought leader. His technical outputs, such as Nature Deep Learning Review (2015) with Y. LeCun and Y. Bengio, remain foundational texts in the field.

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Alexey VorobievView profile

Researcher

Uppsala UniversitySweden

Alexey Vorobiev is a Researcher at Uppsala University's Materials Physics department, focusing on neutron reflectometry and magnetic materials. His work spans thin films, superlattices, and nanoparticle interfaces. Education : Not explicitly mentioned in the text. Research Interests Vorobiev's research explores magnetic properties of materials, surface interactions, and neutron optics. Key areas include spintronics, nanoscale assembly, and thin film characterization. His work often integrates experimental methods like neutron scattering with materials engineering. Article Trends Recent publications emphasize neutron-based techniques for studying magnetic multilayers, graphene oxide behavior, and nanoparticle self-assembly, reflecting a strong focus on interfacial physics and advanced material synthesis.

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Sean RenView profile

Associate Professor

University of Southern CaliforniaUnited States

Sean Ren is an Associate Professor in Computer Science at the University of Southern California, where he holds the Andrew and Erna Viterbi Early Career Chair. He directs the INK Research Lab and serves as Research Team Leader at USC's Information Sciences Institute. Affiliated with the USC NLP Group and Machine Learning Center, his research focuses on developing robust NLP systems through knowledge-aware architectures and data-efficient learning. His research interests include: Evaluation methods exposing NLP limitations in reasoning tasks Augmenting models with commonsense/knowledge via novel algorithms Graph neural networks for relational inference Model robustness verification and enhancement Neural-symbolic integration for interpretable AI Recent publications demonstrate strong emphases on language model reasoning, knowledge distillation, and compositional generalization. His group's ACL/NeurIPS papers frequently address robustness gaps in state-of-the-art models. Honors include: ACL Outstanding Paper (2023) MIT TR Innovator 35 Asia Pacific (2023) NSF CAREER Award (2021) Forbes 30 Under 30 (2019) ACM SIGKDD Dissertation Award (2018) Research is supported by NSF, DARPA, IARPA, and industry partners (Google, Amazon, Meta). He leads the INK Lab with focuses on label-efficient learning and knowledge-guided NLP, while actively recruiting PhD students for projects bridging symbolic and neural paradigms.

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Donald L. KochView profile

Professor

Cornell UniversityUnited States

Donald L. Koch is a full Professor in the School of Chemical Engineering at Cornell University, specializing in fluid dynamics, rheology, and transport processes in complex systems. His research spans particulate flows, colloidal science, and sustainable energy applications. B.S. and B.A., Case Western Reserve University (1981) Ph.D., Massachusetts Institute of Technology (1985) Postdoctoral Study, DAMTP, Cambridge University (1986) Research Interests: Rheology of particle suspensions and porous media Fluid dynamics in micro- and nano-structured materials Statistical mechanics of colloids and aerosols Sustainable energy systems (CO2 sequestration, geothermal energy) Computational modeling of multiphase flows Scientific Awards: Fellow, American Physical Society 1998 Presidential Young Investigator 1988 Frenkiel Award (APS Division of Fluid Dynamics) NATO Postdoctoral Fellowship (1986) NSF Graduate Fellowship (1981) Publications: Over 100 scientific works focusing on particulate and multiphase flows, with recent contributions to non-Newtonian fluid mechanics and bacterial suspension dynamics.

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Filippo MezzanottiView profile

Academic

Northwestern UniversityUnited States

Filippo Mezzanotti is an Associate Professor of Finance at the Kellogg School of Management, Northwestern University. His research bridges corporate finance with innovation economics, fintech, and historical analysis of financial systems. He teaches Finance II (Corporate Finance), focusing on capital structure, investment decisions, and valuation methods. Doctor of Philosophy (2016), Business Economics, Harvard University Master of Arts (2014), Economics, Harvard University Master of Science (2010), Economics, Universita Commerciale Luigi Bocconi Bachelor of Arts (2008), Economics, Universita Commerciale Luigi Bocconi Mezzanotti's work examines how financial frictions shape real economic activity. Key areas include technology adoption dynamics during liquidity shocks, patent policy effects on corporate innovation, and private equity's role in crisis resilience. His empirical approach frequently leverages historical events like the Great Depression and Sherman's March for modern economic insights. Recent publications analyze critical issues in financial technology (mobile payments in India), corporate R&D allocation under funding constraints, and legal frameworks affecting patent litigation. His research reveals connections between demographic factors, debt restructuring mechanisms, and institutional recovery patterns. Faculty Research Fellow, National Bureau of Economic Research (2024-present)

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Patrick SchneiderView profile

Assistant Professor

Imperial College LondonUnited Kingdom

Patrick Schneider is an Assistant Professor in the Department of Economics and Public Policy at Imperial Business School , UK. He completed his PhD at the London School of Economics and Political Science and previously worked as an Economist at the Bank of England (2015-2018). His research lies at the intersection of macroeconomics, household finance, and public economics, with a focus on unconventional stabilization policies and behavioral biases. Education: PhD Economics, London School of Economics and Political Science (2025) MPhil Economics, University of Oxford (2015) Bachelor of Economics (Hons) & Bachelor of Arts, UNSW Sydney (2011) His recent work explores how behavioral biases affect retirement account access policies and intergenerational equity. Analysis of his publications reveals trends in macroeconomic policy distributional effects , productivity dynamics , and market power . He has contributed to debates on Brexit's economic implications and stabilization mechanisms in financial systems. While no specific scientific awards are documented, his research engages with critical policy questions through empirical analysis and behavioral economic modeling. He maintains an active presence on academic and policy discussions via platforms like Bluesky, focusing on macroeconomic policy transparency and trust in financial systems.

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