Find Academic Supervisors

Jesse HoeyView profile

Professor

• Affective Computing
• Health Informatics
• Artificial Intelligence
• +6 more

Jesse Hoey is a Professor in the David R. Cheriton School of Computer Science at the University of Waterloo and leader of the Computational Health Informatics Lab (CHIL). He serves as a Faculty Affiliate at the Vector Institute and is Editor-in-Chief of the IEEE Transactions on Affective Computing. His research spans affective computing, health informatics, and socially assistive robotics, with a particular focus on developing technologies for elderly care and cognitive assistive applications. Hoey's research interests center around affective intelligence, Bayesian affect control theory (BayesACT), and decision-theoretic planning in uncertain domains. His work integrates social psychology with artificial intelligence to create emotionally aware systems that can interact naturally with humans, particularly those with cognitive impairments such as Alzheimer's disease. He has developed models for social interaction, emotion recognition, and uncertainty management in human-robot collaboration. His recent publications demonstrate a strong trend toward medical applications of AI, particularly in ultrasound analysis and healthcare technology. Many of his papers focus on self-supervised learning techniques for medical imaging and the application of affective computing principles to assistive technologies for dementia care. His work bridges theoretical AI with practical healthcare applications, showing increasing emphasis on real-world implementation. Editor-in-Chief of IEEE Transactions on Affective Computing Hoey has supervised numerous PhD and Master's students through the Computational Health Informatics Lab, with research spanning socially assistive robotics, affective computing, and health informatics. His lab has received funding for projects related to AI for dementia care, smart home technologies, and emotion-aware systems. The CHIL lab collaborates with healthcare institutions including the Toronto Rehabilitation Institute. The Computational Health Informatics Lab (CHIL) focuses on developing intelligent systems that understand and respond to human emotions and social contexts. Current projects include emotionally aligned social robots for dementia care, self-supervised learning for medical ultrasound, and models of social organization as uncertainty management. The lab combines theoretical work in Bayesian modeling with practical applications in healthcare technology.

Irem DikmenView profile

Professor

• Construction Project Risk Management
• Climate Risk and Resilience in Built Environment
• Digital Construction Technologies
• +5 more

Professor Irem Dikmen is a leading academic in Construction Engineering and Management at the University of Reading, where she serves as School Director of Internationalisation in the Chancellor's Building. Her research integrates engineering, management, and information sciences to advance construction project risk management, particularly focusing on climate resilience, digital technologies, and social value in infrastructure systems. PhD, MSc, and BSc in Civil Engineering from Middle East Technical University Her work leverages systems thinking, artificial intelligence, and digital tools to develop decision-support frameworks for megaprojects and climate adaptation. Recent publications highlight innovations in NLP contract analysis, energy performance ontologies, and risk visualization techniques. She supervises students on topics spanning IoT lifecycle management, ESG risks, and NLP defect detection. Key collaborations include the Climate and Finance Research Cluster and Walker Institute , with contributions to digital construction technologies and sustainability risk assessment. Teaching modules include Construction Risk Management, Economics, and Business Organisation.

肖勇波View profile

Professor

• Revenue Management
• Pricing Management
• Operations Management
• +5 more

Professor Yongbo Xiao serves at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. His academic journey includes a BEng in Management Information Systems (2000), Master/PhD in Management Science and Engineering (2006), and postdoctoral research in applied economics at Tsinghua University. 2000: BEng in Management Information Systems 2006: Master/PhD in Management Science and Engineering 2006-2008: Postdoctoral Fellow in Applied Economics His research spans revenue management, pricing strategies, operations/supply chain management, and service systems. Recent work explores live-streaming e-commerce dynamics, supply chain resilience, and platform co-opetition models. Articles appear in top journals including Operations Research , Production and Operations Management , and Naval Research Logistics . Notable awards include National Natural Science Foundation Outstanding Young Scholars Fund, Changjiang Scholar Young Scholars recognition, and multiple Tsinghua University teaching/research honors. He serves as Associate Editor-in-Chief for Naval Research Logistics and Executive Editor for Journal of Systems Science and Systems Engineering . 2024: China Aviation Association Second Prize 2023: Huawei Collaborative Innovation Award 2022-2024: Tsinghua EMBA/Executive Education Teaching Excellence Professor Xiao teaches undergraduate Operations Research, Master's-level Operations Research & Optimization, and MBA courses including Data Models & Decisions, Operations Management, and ESG Frontier Exploration. His work bridges theoretical operations research with practical applications in digital commerce and supply chain innovation.

Svetlana StanišićView profile

Associate Professor

• Environmental Science
• Air Pollution Modeling
• Artificial Intelligence Applications
• +7 more

Svetlana Stanišić is an Associate Professor at Singidunum University's Faculty of Informatics and Computer Science, Department of Applied Artificial Intelligence. She holds a dental degree from the University of Belgrade's Dental Faculty (1998-2004) and a PhD in Physical Chemistry from the University of Belgrade's Faculty of Physical Chemistry (2007-2011). Her interdisciplinary research bridges environmental science, artificial intelligence, and public health. Her research interests focus on environmental science, air pollution modeling, and artificial intelligence applications . She investigates the atmospheric fate of pollutants using advanced machine learning techniques, with particular emphasis on polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and particulate matter. Her work combines environmental chemistry, computational modeling, and public health impact assessment to address urban air quality challenges. Analysis of her recent publications reveals a clear trend toward explainable AI applications in environmental science . She has pioneered the use of SHAP (SHapley Additive exPlanations), XGBoost, and metaheuristic optimization for pollutant fate prediction and source apportionment. Her research spans indoor and outdoor environments, with particular attention to health implications of air pollution exposure in urban settings like Belgrade. Dr. Stanišić leads significant research projects including "crAIRsis" (2024-2026) , which characterizes crisis-caused air pollution alternations using AI frameworks, and "ATLAS" , focusing on artificial intelligence theoretical foundations for spatio-temporal modeling. She has also authored influential books including "Ako je hrana Vaš porok" (2024) and "Ishrana i zdravlje" (2018). Her research group focuses on environmental informatics , developing computational tools to understand pollutant behavior in complex urban environments. The team combines atmospheric chemistry measurements with advanced machine learning techniques to create predictive models with practical applications for urban air quality management and public health protection.

Aylin CaliskanView profile

Assistant Professor

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Aylin Caliskan is an Assistant Professor at The Information School at the University of Washington, with a courtesy appointment at the Paul G. Allen School of Computer Science & Engineering. She co-directs the Tech Policy Lab and is a faculty affiliate at the UW NLP RAISE and VSD Lab. Her research focuses on AI ethics, bias detection, and human-centered AI, with a particular emphasis on how biases from human society propagate into machine learning models. University of Washington – Assistant Professor Tech Policy Lab – Co-Director UW NLP RAISE – Faculty Affiliate VSD Lab – Faculty Affiliate Brookings Institution – Nonresident Fellow in Governance Her research explores the mechanisms by which human society’s biases are encoded into AI systems, particularly in language and vision-language models. She develops evaluation techniques, transparency methods, and bias mitigation strategies to address these issues. Her work has been published in top-tier venues such as Science, PNAS, ACL, EMNLP, AAAI, and ACM FAccT. She has also advised and collaborated with numerous students and researchers, including Kyra Wilson, Mattea Sim, Gandalf Nicolas, and Kshitish Ghate. Her recent and accepted publications focus on generative AI’s societal impacts, including bias amplification in AI models, gender and race bias in resume screening, and the propagation of stereotypes through multimodal systems. These studies often analyze how biases encoded in AI can influence human decision-making and societal norms. Scientific Awards: NSF CAREER Award (2024) 100 Brilliant Women in AI Ethics (2023) IJCAI Early Career Spotlight (2023) She teaches courses on Generative AI and has delivered talks at institutions such as Stanford, NYU, and Howard University. Her work also intersects with law and policy, as seen in her Brookings Institution publications and service.

Christopher G. TarolliView profile

Associate Professor

• Movement Disorders
• Parkinson's Disease
• Huntington's Disease
• +4 more

Christopher G. Tarolli, MD is an Associate Professor in the Department of Neurology at the University of Rochester School of Medicine and Dentistry. He specializes in movement disorders, particularly Parkinson's disease and Huntington's disease, and serves as Director of the Mind, Brain, Behavior neuroscience course and Associate Program Director of the Adult Neurology Residency Program. His work bridges clinical practice with research in wearable sensor technology, palliative care, and health professions education. MD from SUNY Downstate College of Medicine (2012) Residency & Fellowship at University of Rochester Medical Center (2012-2018) Masters of Science in Health Professions Education (Warner School, UR) Dr. Tarolli's research focuses on novel technologies for neurological assessment, practice-based research in movement disorders, and palliative care models. He has contributed to studies on wearable sensors, remote video-based clinical trials, and symptom burden analysis in Parkinson's and Huntington disease. His work emphasizes patient-centered care and digital health innovation. Recent publications highlight his expertise in: Wearable sensor validation for neurodegenerative diseases Telemedicine applications in Parkinson's disease Palliative care integration across disease trajectories Smartphone-based Huntington's disease monitoring Machine learning for movement disorder severity quantification Quality measures in Parkinson's care Awards include the Herbert W. Mapstone Prize for Excellence in Second Year Teaching and participation in the American Academy of Neurology Emerging Leaders Program. Dr. Tarolli also leads clinical research initiatives and educational programs at the University of Rochester Medical Center.

Hillel AdesnikView profile

Professor

• Neuroscience
• Neural Circuits
• Optogenetics
• +6 more

Dr. Hillel Adesnik is a Professor in the Department of Neuroscience at the University of California, Berkeley, and a leading researcher in the neural basis of sensory perception. His lab focuses on cortical microcircuits, optogenetics, and neural coding, with emphasis on visual processing and memory formation. Key Research Areas: Cortical Microcircuits Optogenetic Tools Gamma Band Rhythms Neural Coding Mechanisms Dr. Adesnik has pioneered high-speed optical methods like 3D-MAP and 3D-SHOT to manipulate neural activity. His work spans cortical dynamics, synaptic plasticity, and cortical layer interactions, with applications in understanding learning algorithms and sensory inference. Selected Trends from Publications: Recent preprints and papers highlight advancements in cortical VIP neuron function, channelrhodopsin structures, and inter-areal computations. His team utilizes two-photon holography, cryo-EM, and computational modeling to decode perception-related neural codes. Scientific Awards: NIH Director's New Innovator Award (2013) Dr. Adesnik's lab collaborates with institutions like NIH and develops tools for awake animal studies. Funding includes grants from the Beckman Young Investigator Program and NIH.

Gerald ReinerView profile

Professor

• Circular Supply Chains
• Operations Management for Base of the Pyramid
• Humanitarian Logistics Operations
• +7 more

Gerald Reiner serves as Head of the Institute for Production Management at the Vienna University of Economics and Business (WU), within the Department of Information Systems and Operations Management. He holds a Magister Degree, doctorate, and Habilitation in Business Administration from WU. His academic career includes positions as full professor in Production Management and Logistics at the University of Neuchatel (Switzerland, 2007-2014) and Universitaet Klagenfurt (Austria, 2014-2018), where he also served as head of the department of Operations, Energy, and Environmental Management. Dr. Reiner has held visiting professorships at Aston Business School (UK), HEC Lausanne (Switzerland), University of Bergamo, and Università Cattolica del Sacro Cuore in Milan (Italy). His research spans several critical areas including Industry 4.0 implementation, integrated capacity and inventory management, humanitarian logistics operations, circular supply chains, and operations management for base of the pyramid contexts. His work particularly focuses on practical applications addressing food waste reduction, sustainable manufacturing, and blockchain technology in supply chains. His publication portfolio demonstrates a clear evolution toward digital transformation in operations, with recent focus on hydrogen production systems, AI integration in manufacturing, and blockchain applications for food supply chain transparency. The research shows increasing emphasis on sustainability integration within traditional operations management frameworks, particularly addressing European manufacturing challenges and food system inefficiencies. Publication Excellence Award 2021 (2023) Researcher of the month (January 2023) Highly Commended paper in the 2017 Emerald Literati Network Awards for Excellence ISIR Service Award (2014) Emerald Outstanding Paper Award (2013) Dr. Reiner coordinates multiple significant international research projects including EU-project 'Keeping Jobs in EU', EU/Ecsel-project 'Power Semiconductor and Electronics Manufacturing 4.0', 'Integrated Development 4.0', and 'Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0'. His current projects focus on FOODIS (cross-border ecosystem for innovation in food supply chains), Circular Design implementation, and blockchain applications for banana supply chains. He actively supervises research teams working on food waste reduction, sustainable packaging systems, and AI applications in operations management.

Thierry FoucaultView profile

Professor

• Financial Markets Liquidity
• Market Microstructure
• Big Data in Finance
• +5 more

Thierry Foucault serves as HEC Foundation Chaired Professor of Finance at HEC Paris, where he conducts influential research at the intersection of financial markets and technology. His work focuses on the determinants of financial markets liquidity and informativeness, the industrial organization of markets, and their effects on the real economy. His primary research interests include Big Data applications in finance, artificial intelligence in trading technologies, over-the-counter (OTC) markets, and how stock markets influence corporate decisions regarding investment and product choices. Foucault's recent work has increasingly examined how technological advancements reshape traditional financial market structures and corporate behavior. Foucault's research portfolio demonstrates a clear progression toward understanding how data abundance and AI transform market dynamics. His publications span theoretical models, empirical investigations, and policy implications, with particular emphasis on how alternative data sources affect traditional expertise in fund management, how algorithmic approaches change market maker behavior, and how investor information horizons influence corporate investment decisions. European Research Council (ERC) Advanced Grant (2021) for a five-year research project on Big Data and AI in financial markets Co-managing editor of the Journal of Financial and Quantitative Analysis (JFQA) since September 1, 2021 As an academic leader, Foucault actively mentors PhD students and collaborates with researchers worldwide. His editorial position at JFQA places him at the forefront of scholarly discourse in quantitative finance. While specific grant details aren't provided in the text, his ERC Advanced Grant represents significant research funding supporting his work on technology's impact on financial markets and corporate investment.

Francesco GiavazziView profile

Professor

• Macroeconomics
• Public Finance
• Political Economy
• +3 more

Francesco Giavazzi is a Professor in the Department of Economics, Politics and Decision Sciences at Bocconi University, specializing in macroeconomics and political economy with active research output through 2024. His research centers on fiscal policy mechanisms, austerity impacts, and political-economic interactions. Key investigations include how government spending cuts versus tax increases affect economies differently, the role of timing in fiscal adjustments, and empirical analyses of terrorist attacks' influence on voting behavior using Twitter data. His work bridges theoretical economic models with real-world political phenomena. Recent publications demonstrate consistent focus on European fiscal policy challenges, with significant contributions through high-impact journals and books. His collaborative work with Carlo Favero and the late Alberto Alesina forms a distinctive research lineage examining austerity effectiveness across different economic contexts and institutional settings.

• Land Use and Transportation Planning
• Travel Behavior and Built Environment
• Sustainability and Climate Adaptation
• +5 more

Guang Tian, Ph.D. , is an Assistant Professor of City and Metropolitan Planning at the University of Utah and a faculty member at the Scientific Computing and Imaging Institute . His research bridges land use-transportation planning , travel behavior , and urban data science , with a focus on sustainability , climate adaptation , and equitable transit-oriented development . He previously founded the Center for Equitable Transit-Oriented Communities at the University of New Orleans as an Associate Professor. Education : Ph.D. in City & Metropolitan Planning (University of Utah, 2016) Professional Affiliations : Faculty, Scientific Computing and Imaging Institute (2025–present) His research leverages machine learning and GIS to analyze VMT reduction , active transportation , and the built environment’s impact on mobility . Key findings include the superior performance of random forest models over traditional methods in predicting mode choice and the role of polycentric urban structures in reducing auto dependency. Scientific Awards : Rising Scholar Award (2024, Association of Collegiate Schools of Planning) Grants include funding from the US Department of Transportation for equitable transit communities and multiple Louisiana Transportation Research Center projects on VMT modeling, rail infrastructure, and truck parking efficiency. His teaching centers on GIS applications in urban planning and transportation analysis.

Clémence PoirierView profile

Research Fellow

• Space cybersecurity
• Electronic conflict in outer space
• Cyber conflict in outer space
• +3 more

Clémence Poirier is a Senior Researcher in the Cyberdefense Project within the Risk and Resilience Team at the Center for Security Studies (CSS) at ETH Zurich. She previously served as a Research Fellow at the European Space Policy Institute (ESPI) in Vienna and as a Researcher for Flinders University in Adelaide, Australia. She also holds the position of Space Generation Advocacy and Policy Platform's Lead on Responsible Space Behavior at the Space Generation Advisory Council (SGAC). Her educational background includes a Master's degree in International Relations, International Security and Defense and a Bachelor's degree in Foreign Applied Languages (English, Russian, Spanish), both from University Jean Moulin Lyon III, France. Dr. Poirier is multilingual, which supports her international research collaborations. Dr. Poirier's research focuses on the critical intersection of space operations and cybersecurity, with particular emphasis on geopolitical implications of cyber conflict in outer space. Her work examines how terrestrial conflicts like the Ukraine war impact space security architecture and explores policy frameworks for protecting space infrastructure from cyber threats. She has conducted extensive research on space cybersecurity policy across multiple jurisdictions including Australia, Europe, and the United States. Analysis of her publication record reveals a clear progression from foundational space policy research toward increasingly specialized work on space cybersecurity. Her recent publications demonstrate growing attention to practical policy implementation challenges, with several papers addressing specific national and regional approaches to space cybersecurity governance. There's also a notable trend toward multidisciplinary collaboration, particularly with technical experts in space systems engineering. Dr. Poirier has established significant research partnerships with major space institutions including the European Space Agency, with whom she collaborated on climate policy research examining the integration of space-based data in European environmental policies. Her work with SmartSat CRC in Australia demonstrates international research coordination on space infrastructure security. She leads research initiatives focused on responsible space behavior and has contributed to policy development through her work with the European Economic and Social Committee. Her current Cyberdefense Project at ETH Zurich's CSS represents the culmination of her expertise in space security policy development.

Sebastian BüttnerView profile

Associate Professor

• Sociological Theory
• Cultural Sociology
• Sociology of Knowledge
• +7 more

Prof. Dr. Sebastian Büttner is an Associate Professor at the Institute of Sociology within the Friedrich-Alexander University Erlangen-Nuremberg (FAU) and since September 2024, he serves as the scientific project manager of the Transfer Unit Science Communication at the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) . His academic career includes acting professorships at the University of Kassel, Freie Universität Berlin, and University of Duisburg-Essen. Research Interests : Sociological theory and cultural sociology Sociology of knowledge and science Political sociology of expertise and policy European integration and transnationalization Regionalization processes in Europe Academic Training : 2024: Außerplanmäßiger Professor at FAU 2017: Habilitation in Sociology at FAU 2010: Doctorate (Dr. rer. pol.) at BIGSSS 2004: Diploma in Sociology at University of Bamberg Collaborations and Projects : He is an associate editor of Culture, Practice & Europeanization , co-organizer of the German-French working group 'Governing European Mobilities', and member of the interdisciplinary group 'Conflict Management in Europe'. He led DFG-funded projects on EU professionalism and co-edited works on Europeanization and controversial expertise.

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +11 more

Prof. Dr. Bernd Skiera holds the first chair for electronic commerce in Germany at Goethe University Frankfurt am Main since 1999. He serves on the board of efl - The Data Science Institute and the Schmalenbach Society, while representing Germany at the European Marketing Community (EMAC). Chair of Marketing, Goethe University Frankfurt am Main Board member, efl - The Data Science Institute National representative, European Marketing Community (EMAC) His research focuses on MarTech/SalesTech integration, customer value management, online advertising analytics, data-driven pricing models, and the economic implications of internet privacy regulations. He leads the ERC Advanced Grant project on cookie usage restrictions' economic consequences. Recent publications examine dynamic pricing in digital markets, competition visualization using big data, and AI applications in marketing analytics. The ERC Advanced Grant research has produced empirical analyses of GDPR impacts on advertising ecosystems. 2015 Journal of Marketing Best Paper Award 2013 International Journal of Research in Marketing Best Paper Award Multiple MSI/H. Paul Root Award recognitions He has mentored 17 doctoral students who became professors globally, including at London Business School and LMU Munich. His work bridges marketing analytics with financial valuation through customer equity modeling.

• Systems and Network Security
• Applied Cryptography
• Cybersecurity
• +9 more

Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.