Find Academic Supervisors

Jörg KnielingView profile

Professor

• Urban Planning
• Regional Development
• Sustainable Cities
• +3 more

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 .

Laura AlvarezView profile

Assistant Professor

• Active matter
• Chemical Communication
• Bio-inspired microsystems
• +3 more

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.

Michel LarocheView profile

Professor

• Consumer Behavior
• Culture
• Social Media
• +7 more

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.

• Machine Learning
• Artificial Intelligence
• Neural Networks
• +2 more

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.

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +3 more

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.

Sean RenView profile

Associate Professor

• Natural Language Processing
• Commonsense Reasoning
• Graph Neural Networks
• +3 more

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.

Donald L. KochView profile

Professor

• Colloids and Interfacial Science
• Fluid Dynamics
• Rheology
• +6 more

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.

Filippo MezzanottiView profile

Academic

• Corporate Finance
• Innovation
• Entrepreneurship
• +3 more

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)

• Macroeconomics
• Public Economics
• Household Finance
• +5 more

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.

Ankush AgarwalView profile

Associate Professor

• Mathematical finance
• Data science in finance
• Financial statistics
• +3 more

Ankush Agarwal is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. His research focuses on mathematical finance, financial statistics, and Monte Carlo methods, with applications to risk management and derivatives pricing. He supervises PhD students in quantitative finance and has taught courses on Monte Carlo methods and advanced financial modeling at Western University. Education: PhD in Mathematics from Tata Institute of Fundamental Research (2015) Research interests span regime-switching models, longevity risk hedging, stochastic differential equations, and rare event simulation. His work combines theoretical probability with computational techniques for financial applications. Recent publications include studies on McKean-Vlasov SDEs, implied Sharpe ratio estimation, and optimal portfolio strategies under stochastic volatility. These works demonstrate his expertise in stochastic processes and financial engineering. Supervision: Current PhD advisees include Ying Liao, Buchun Wang, and Shuya Zhang at the University of Glasgow. Former advisees include Yongjie Wang and Yihan Zou.

• Polymer Chemistry
• Materials Science
• Ionic Liquids
• +3 more

Christopher Evans is an Associate Professor in the Department of Materials Science and Engineering at the University of Illinois, affiliated with the Materials Research Lab. His research focuses on polymer chemistry and materials science, particularly dynamic covalent bonds, ionic liquids, and polymer networks. He has received notable awards including the 3M Non-Tenured Faculty Award (2020) and NSF CAREER Award (2018). His work explores topics like ion transport in block copolymers, dynamic network viscoelasticity, and solid electrolyte conductivity improvements through helical peptide structures. Recent studies include investigations into penetrant diffusion, crosslink density effects, and thermal conductivity in vitrimers. Evans collaborates widely, addressing challenges in recyclable materials, energy storage, and polymer morphology.

• Sequential Data Analysis
• Medical Data Analytics
• EEG Data Analysis
• +3 more

Dr Lin Yue is a Lecturer at the University of Adelaide , affiliated with the Faculty of Sciences, Engineering and Technology and the School of Computer and Mathematical Sciences . She earned her PhD from Jilin University, with part of her doctoral studies completed as a joint PhD candidate at the University of Queensland. Past affiliations: Northeast Normal University, University of Queensland, University of Newcastle Her research focuses on Sequential Data Analysis and its applications in Medical Data Analytics, EEG Data Analysis, Brain-Computer Interfaces, Social Media Data Analytics, and Sentiment Analysis . She collaborates with academia, government, and professional organizations, supported by internal and external research grants. Dr Yue is eligible to supervise Masters and PhD students as a Co-Supervisor and contributes to advancing data mining and machine learning techniques in healthcare and time series analysis.

Mehrtash Tafazzoli HarandiView profile

Associate Professor

• Machine Learning
• Deep Learning
• Computer Vision
• +3 more

Mehrtash Tafazzoli Harandi is an Associate Professor in the Department of Electrical and Computer Systems Engineering at Monash University, part of the Faculty of Engineering. His research focuses on machine learning and computer vision, particularly visual data analysis, with contributions to geometric deep learning, continual learning, and medical imaging. He holds editorial roles at IET Computer Vision , Frontiers in Imaging , and Journal of Imaging . Education & Previous Affiliations: Prior to Monash, he worked at NICTA (Canberra & Queensland Research Labs) and CSIRO-Data61. His Erdős number is 4 via a collaboration path through Richard Hartley. Research Interests: His work spans geometric learning, diffusion models, medical image analysis, and sustainable AI applications. Key areas include unlearning mechanisms in AI, 3D reconstruction compression, and robust MRI reconstruction using contrastive learning. Grants & Projects: He leads projects funded by ARC, US Air Force, and industry collaborations, including 'Can Machines Unlearn?' (ARC, A$790k) and 'Exploiting Geometries of Learning' (ARC, A$420k). His work addresses challenges in lifelong learning, model adaptation, and trustworthy AI from limited data. Awards: Recipient of Best Recognition Paper (IEEE DICTA 2013), NICTA Impact Award (2015), and multiple outstanding reviewer recognitions at top conferences. Teaching: Teaches courses on neural networks, computer vision, and advanced data analysis at Monash University. Supervises PhD students with a focus on mathematical and computational proficiency. Labs/Teams: Collaborates with the Australian Center for Robotic Vision (ACRV) and contributes to interdisciplinary projects at CSIRO-Data61. His research group explores cutting-edge AI applications in healthcare, manufacturing, and environmental sustainability.

Bryan BollingerView profile

Professor

• Energy and Environmental Policy
• Sustainability Marketing
• Technology Adoption and Diffusion
• +7 more

Bryan Bollinger is a Professor of Marketing at Dartmouth College Tuck School of Business. Previously, he served as Associate/Professor at NYU Stern School of Business from 2019-2025. His research focuses on the causal effects of policy decisions in sustainability domains, including energy, environment, and health, with grants from DOE, NSF, and EPA. He has authored influential studies on solar adoption, dynamic pricing, and behavioral marketing. PhD in Marketing, Stanford University (2011) BA/BE in Engineering, Dartmouth College (2003) MA in Economics, Stanford University (2010) Research interests include technology adoption, energy policy, peer effects, and empirical methods. His work has appeared in Marketing Science , Management Science , and Nature . He currently edits leading journals like Journal of Marketing and Quantitative Marketing and Economics . Recent articles explore solar subsidy valuations, soda tax impacts, and behavioral strategies for sustainable products. Awards include the AMA-EBSCO Responsible Research Award. Supervised over 20 PhD/postdoc students in marketing and economics. Active in editorial boards and policy advisory roles. Labs/Teams: Collaborates with interdisciplinary groups on energy policy and behavioral science initiatives. Leads research on solar diffusion, climate change consumer behavior, and sustainable marketing strategies.

Giulio SantoriView profile

Professor

• Thermal Energy Storage
• Adsorption Heating and Cooling
• Solar Thermal Energy
• +6 more

Dr. Giulio Santori is a Reader in Chemical Engineering at the University of Edinburgh's School of Engineering. He holds a PhD in Energy (2009) and an MSc in Mechanical Engineering (2004) from Università Politecnica delle Marche, Italy. His research focuses on thermal energy storage, adsorption-based cooling and desalination systems, low-grade heat utilization, and advanced materials like ionic liquids and ionogels. He is a member of the Scottish Carbon Capture and Storage Research Centre and the UK Carbon Capture Research Centre. Teaching: Chemical Engineering laboratories, design courses, and research projects. Research interests include optimizing sorption strategies for heat storage, developing sustainable adsorption heat pumps, and exploring applications of 3D-printed components in thermal systems. Current projects involve structured ionic liquids for vapor sorption and ionogels for desalination using low-grade heat. Recent publications highlight advancements in thermal storage technologies, adsorption cooling systems, and CO2 capture. Open PhD projects focus on ionic liquid-based sorption and hydrochar applications.