Find Academic Supervisors

Luis Nunes VicenteView profile

Professor

• Continuous Optimization
• Computational Science and Engineering
• Machine Learning
• +4 more

Luis Nunes Vicente is the Timothy J. Wilmott '80 Endowed Faculty Professor and Chair of Lehigh University's Department of Industrial and Systems Engineering since August 2018. He previously served as a faculty member at the University of Coimbra's Department of Mathematics. His research focuses on Continuous Optimization, Computational Science and Engineering, and Machine Learning/Data Science. Education: Ph.D. in Applied Mathematics (Rice University, 1996), M.A. in Applied Mathematics (Rice University, 1994), B.S. in Mathematics and Operations Research (University of Coimbra, 1990). Honors include the Lagrange Prize (2015), SIAM Fellowship (2024), and Fulbright Scholarship (1996). He co-authored the influential book Introduction to Derivative-Free Optimization (2009). Research Interests: Development of optimization algorithms for derivative-free and stochastic scenarios, multi-objective optimization, machine learning applications, and computational methods for engineering problems. Key contributions include trust-region methods, bilevel optimization frameworks, and fairness-aware machine learning models. Grants and Leadership: Secured over $1M from the Office of Naval Research (2024) and the Air Force Office of Scientific Research (2023). Served as Editor-in-Chief of Portugaliae Mathematica (2013–2018) and on editorial boards of top journals like SIAM Journal on Optimization . Elected President of the Operations Research Association of Chairs (2024). Visiting Positions: IBM T.J. Watson Research Center (2002/2003), Courant Institute/NYU (2009/2010), and CERFACS/Toulouse (2010–2015). Active in international conferences, delivering plenary lectures at 13th French-German Conference on Optimization, ICCOPT III, and ISMP 2018.

Wantao YuView profile

Professor

• Digital Supply Chain Management
• Supply Chain Sustainability
• Lean, Agile, Resilient and Green (LARG) Supply Chain
• +5 more

Wantao Yu is a Professor of Supply Chain Management at the Roehampton Business School, part of the University of Roehampton's Faculty of Business and Law. Previously, he held academic positions at the University of Kent, University of East Anglia, and Buckinghamshire New University. His expertise spans digital supply chain management, sustainability, and modern slavery prevention. He actively supervises PhD students in areas like agri-tech and LARG (Lean, Agile, Resilient, Green) supply chains. Research Interests: His work focuses on digital innovation in supply chains, sustainable practices, and ethical sourcing. Notable projects include STFC-funded initiatives in agri-food systems (UK, China, Kenya, Uganda) leveraging IoT and machine learning for sustainability and productivity. He emphasizes public-private partnerships with smallholder farmers and agribusinesses. Notable Achievements: Included in Stanford's World Top 2% Scientists (2020-2024) and recognized with multiple awards, including the Emerald/EFMD Doctoral Research Award (2010) and conference paper accolades (e.g., 2017, 2015). His pandemic-related research was featured in the WHO database. Teaching: Leads courses on Supply Chain Strategy & Processes and Digital Logistics. External roles include serving as an academic examiner at universities like Essex and Hertfordshire. Collaborations: Active in global research networks, with recent projects in Kenya, Uganda, and China. Key themes include data-driven supply chains, agri-tech, and resilience strategies for SMEs.

Tricia SkolerView profile

Professor

• Developmental Psychology
• Neuroscience
• Infancy
• +6 more

Tricia Skoler is a Professor of Developmental Psychology at the School of Arts and Sciences, Hunter College (CUNY). Her research focuses on developmental trajectories, neuroscience, autism, and infant social cognition. She holds a PhD from Emory University and leads a lab emphasizing interdisciplinary approaches, requiring prospective students to read Doing Developmental Research (Guilford Press). She is currently accepting students for Spring 2025 courses (201 and 395). Her work spans neuroscience, architectural design, biophilia, and health psychology, integrating methodologies like EEG and statistical physics to study gaze processing, joint attention, and social-cognitive development in infants and children with ASD. Key contributions include understanding neural correlates of eye gaze in early infancy and contextual influences on social skills. Publications highlight themes such as gaze-following deficits in autism, the role of social cues in learning, and developmental neuroscience. Her research bridges basic science and applied contexts, including biophilic design and nutrition education. Lab inquiries must follow guidelines in Chapter 1 of her book. No explicit awards are listed, but her extensive publication record reflects recognition in developmental and cognitive neuroscience.

Eva Maria BauerView profile

Lecturer

• Leadership Communication
• Organizational Learning
• Case Study Methodology
• +2 more

Dr. Eva Maria Bauer serves as a Course Director in the Department for Knowledge and Communication Management at the University for Continuing Education Krems, Austria. Her academic work focuses on leadership communication, organizational learning, and case study methodology within business and management education. Her research interests center around practical applications of leadership and communication theories: Developing case studies as learning challenges for leaders and organizations Transitioning from individual to organizational learning frameworks Managing change processes in public sector organizations, particularly in healthcare Mentoring students through case study development and MBA thesis writing Dr. Bauer's scholarly work demonstrates a consistent focus on bridging theoretical knowledge with practical business applications. Her publications from 2013 reveal a specialization in case study methodology as an educational tool, with particular attention to leadership development and organizational change management. She has contributed significantly to the understanding of how case studies can transform both individual and organizational learning processes. Her scientific contributions include several publications in the field of business education and leadership development: Research Case Studies as Learning Challenges for Leaders and Organisations (2013) From individual learning to organisational learning (2013) Change while the engine is running - management challenges during an extensive change process in the public health sector (2013) As a course director, Dr. Bauer oversees academic programs related to leadership communication and appears to be actively involved in supervising student work, particularly guiding MBA students through the thesis process using case study methodology. Her work with family businesses suggests a specialized interest in this sector's unique leadership challenges.

Doris BurgerView profile

Senior Lecturer

• Knowledge Management
• Innovation Management
• Knowledge Transfer
• +3 more

Mag. Dr. Doris Burger is a Senior Lecturer and Program Director at the Center for Business Specializations within the University for Continuing Education Krems. She leads the "International Business, Operations & Aviation" expertise area and oversees executive education programs such as the Executive MBA, MBA Aviation Management, and MBA International Business. Education: Master's (Mag.) in Business Administration from WU Wien Doctorate (Dr.) in Social and Economic Sciences from WU Wien's Institute for Business Administration and Information Management Research Focus: Her work centers on knowledge transfer mechanisms , innovation management , and environmental management in aviation contexts . She explores how computer-based systems enhance organizational learning and knowledge generation through expert-driven methodologies. Teaching: She teaches "Knowledge Management and Innovation" in both online and campus formats. Professional Contributions: Develops corporate programs for international clients in her areas of expertise Authored a monograph on computer-based knowledge transfer (2011) Supervised master's research on environmental management in Austrian air transport Labs/Teams: Operates within the Center for Business Specializations , collaborating on executive education and industry partnerships.

Manxi WuView profile

Assistant Professor

• Societal Networks
• Game Theory
• Network Optimization
• +4 more

Manxi Wu is an Assistant Professor in Cornell University's School of Operations Research and Information Engineering, specializing in societal networks and game-theoretic approaches to system design. Her research develops computational models for strategic learning and incentive mechanisms in socio-technical systems, with applications to transportation networks and digital platforms. Education: B.S. Applied Mathematics, Peking University (2015) M.S. Transportation, Massachusetts Institute of Technology (2017) Ph.D. Social and Engineering Systems, Massachusetts Institute of Technology (2021) Her research integrates game theory, optimization, and machine learning to address challenges in autonomous services, traffic management, and decentralized decision-making. Current investigations focus on adaptive incentive structures, spatial resource allocation, and equilibrium analysis in complex networked environments. Publication analysis reveals consistent emphasis on game-theoretic frameworks applied to urban mobility systems, with recent work exploring multi-agent reinforcement learning, congestion pricing equity, and electric fleet management. Methodological innovations include novel convergence proofs for decentralized algorithms and computational approaches to fairness constraints. Awards and Honors: Hammer Fellowship UTC Milton Pikarsky Memorial Award Siebel Scholarship EECS Rising Star recognition No information is currently available regarding student advising, research grants, or laboratory affiliations.

Trevor W. HaytonView profile

Professor

• Actinide Chemistry
• Inorganic Chemistry
• Organometallic Chemistry
• +6 more

Professor Trevor W. Hayton is a faculty member in the Department of Chemistry and Biochemistry at the University of California, Santa Barbara. He leads the Hayton Research Group, which focuses on solving problems in energy science, nanochemistry, and nuclear fuel clean-up through the synthesis and characterization of transition metal, lanthanide, and actinide complexes, as well as metal nanoclusters. Dr. Hayton's research spans several key areas in inorganic and organometallic chemistry: Actinide chemistry, particularly uranium and thorium complexes Synthesis of transition metal nanoclusters Molecular activation of small molecules Investigation of metal-ligand bonding and covalency Energy-related materials and processes Analysis of Professor Hayton's recent publications (2023-2025) reveals a strong focus on actinide chemistry, particularly uranium and thorium complexes with various ligands. His group has made significant contributions to understanding actinide-ligand bonding, especially through NMR spectroscopy. They also continue to advance the field of transition metal nanoclusters, with recent work on nickel, copper, and iron systems. A notable trend is the increasing use of advanced spectroscopic and computational methods to probe electronic structure. Professor Hayton mentors numerous graduate students and postdoctoral researchers, as evidenced by successful PhD defenses and award-winning research presentations. His group members learn advanced synthetic techniques including air-free procedures, and various spectroscopic and analytical methods. The Hayton Research Group operates state-of-the-art laboratories at UCSB, with dedicated spaces for air-sensitive synthesis and characterization. Group meetings are held weekly to discuss ongoing research and foster collaboration among members.

Ed HopkinsView profile

Professor

• Game Theory
• Microeconomic Theory
• Behavioral Economics
• +6 more

Ed Hopkins is a Professor of Economics at King's College London and the Interim Head of the Economics Department within the King’s Business School. He holds a PhD from the European University Institute in Florence, Italy, and has held positions at the University of Edinburgh and as a visiting scholar at institutions including the California Institute of Technology and the University of British Columbia. His research focuses on game theory, behavioral economics, and social economics, with particular emphasis on topics such as tournament models, inequality, learning dynamics, and experimental economics. Key areas of interest include status concerns, marriage matching, and the implications of non-standard preferences in strategic interactions. Ed has contributed extensively to experimental economics, testing theoretical predictions in laboratory settings. He is actively involved in PhD supervision, accepting students for doctoral research. His work spans theoretical and empirical analyses, with notable contributions to understanding cyclical behavior in strategic situations, the role of information in decision-making, and the interplay between economic inequality and risk-taking.

• Medical Education
• Pediatrics
• Curriculum Development
• +5 more

Donna D. Elliott, MD, EdD, is a Professor of Clinical Pediatrics and Medical Education at the Keck School of Medicine of the University of Southern California (USC). She holds dual leadership roles as Vice Dean for Medical Education and Chair of the Department of Medical Education. Dr. Elliott oversees all aspects of medical student education, including pathway programs and graduate-level academic medicine and narrative medicine programs. She has been recognized with prestigious awards such as the Mellon Award for Excellence in Mentoring and the USC Master Teacher designation. Her research focuses on medical education innovation, curriculum design, and professionalism in training. Key areas include social media ethics, diversity in healthcare education, and quality improvement strategies in medical programs. Dr. Elliott has contributed to national organizations like the National Board of Medical Examiners and the AAMC Group on Student Affairs, currently serving as Chair of the National Resident Matching Program Board of Directors. Her publication record emphasizes curricular renewal, student learning environments, and the transition to clinical training. Over 20 years of work has advanced educational policies at both institutional and national levels, with a focus on fostering inclusive and effective medical training environments.

• AI
• Digitalisation
• Higher education
• +9 more

Jimmy Jaldemark is a Professor at the Department of Education, Mid Sweden University, Sundsvall, Sweden. He serves as Research Leader of HEEL (Higher Education and E-Learning) and Head of Subject for the Discipline of Education. His roles include membership in the Faculty Board of Humanities and representation in the university-wide Education Council. He co-founded GRADE, a national graduate school in digital education, and leads the EARLI Centre for Excellence in AI in Learning and Instruction (AILI). His research focuses on AI, digitalization, lifelong learning, and networked learning. He co-edited *Networked Professional Learning* (2019) and guest-edited special issues in the *British Journal of Educational Technology*. He is an editor for that journal and serves on editorial boards for *Educational Research Review*, *Postdigital Science and Education*, and others. He supervises doctoral students and teaches in Behavioral Science and Education programs. Current projects include HEaD (Higher Education and Digitization) and BLAD (Need-based Learning through Adapted Participation). He collaborates internationally, notably in the AILI network exploring AI's educational impacts. His work spans educational development, organizational learning, and policy frameworks for lifelong learning in the digital era.

• Medical Imaging
• Biomedical Engineering
• Magnetic Resonance Imaging (MRI)
• +3 more

Yonghyun Ha is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. His research focuses on advancing magnetic resonance imaging (MRI) technologies, particularly in low-field MRI systems, RF pulse design, and imaging hardware innovation. He collaborates with experts like Duy Phan, Haifan Lin, and Nikhil Malvankar, contributing to projects such as RF pulse distortion compensation and novel RF coil development. Research Interests: His work spans low-field MRI systems , RF engineering , imaging algorithm optimization , and hardware design . He explores applications like point-of-care imaging and cost-effective MRI solutions. Articles Trends: Recent publications address gradient-free imaging, field-cycling magnets, and deep learning for data compression. His work bridges engineering and clinical needs, emphasizing practical MRI advancements. Advising & Grants: No formal advisees are listed, but his collaborations suggest involvement in interdisciplinary research teams. No specific grants are mentioned, but his projects imply funding through institutional or NIH channels. Labs/Teams: Active in Yale’s Radiology & Biomedical Imaging department, contributing to MRI technology development and translational research initiatives.

Georg LangsView profile

Professor

• Machine Learning
• Medical Imaging
• Precision Medicine
• +3 more

Georg Langs is a Full Professor of Machine Learning in Medical Imaging at the Medical University of Vienna and Founding Director of the Computational Imaging Research Lab (CIR). He leads a 25-member interdisciplinary team focusing on machine learning methodologies for medical image analysis. Key roles include Director of the Joint Initiative on AI in Medical Imaging (European Institute of Biomedical Imaging Research) and Scientific Lead of the Respiratory Disease Phenotype Observatory (ZODIAC, UNO/IAEA). He is affiliated with MIT’s CSAIL and serves on advisory boards for global AI initiatives. Education: PhD in Computer Science, Graz University of Technology (2007) M.Sc. in Mathematics, Vienna University of Technology (2003) Research Interests: Machine learning-driven precision imaging, neuroimaging, clinical data phenotyping, and cross-species brain connectivity analysis. His work bridges imaging biomarkers with biological mechanisms and large-scale clinical data integration. Grants & Funding: Over €6M in competitive grants as Principal Investigator in the last two years. Projects include ARTEMIS (fatty liver disease digital twins) and AI-POD (personalized risk scores via imaging). Awards: 2022 IS3R Emerging Leaders Club 2022 National Academy of Medicine Emerging Leader Programme 2018 Advisor, AI Mission Austria 2030 Lab & Teams: CIR Lab focuses on AI-driven medical imaging solutions. Co-founded contextflow GmbH , a MedUni spin-off developing AI software for imaging analysis.

Patrick T. BrandtView profile

Professor

• Political Dynamics
• Time Series Analysis
• Machine Learning
• +8 more

Patrick T. Brandt is a Professor of Political Science, Public Policy, and Political Economy at the University of Texas at Dallas , affiliated with the School of Economic, Political and Policy Sciences . His work integrates advanced statistical methods with political science, focusing on time series analysis, machine learning, and Bayesian modeling to study political dynamics. His research spans international relations , political economy , terrorist targeting , and conflict forecasting . He specializes in developing novel models for event count time series, including the Bayesian Poisson Vector Autoregression and MS-BVAR packages for R. His NSF-funded projects focus on event data generation and real-time conflict forecasting. Recent publications emphasize domain-specific language models (ConfliBERT variants), graph neural networks for conflict prediction, and machine translation challenges in political text analysis. He maintains the OpenEvent Data Repository and develops software like MSBVAR and PESTS for academic use. Scientific Awards : Robert H. Durr Award for Best Methodology Paper, Midwest Political Science Association (2006)

Raphaël BaroniView profile

Associate Professor

• Narratology
• French Linguistics
• Narrative Theory
• +7 more

Raphaël Baroni is an Associate Professor of Teaching French as a Foreign Language at the School of French as a Foreign Language (EFLE), Faculty of Arts, University of Lausanne (UNIL). He has held this position since August 1, 2011, and has been actively involved in research and academic collaboration since 2005. He previously taught at the University of Michigan and conducted research at the Center for Research on Arts and Language (EHESS-CNRS) in Paris. His research centers on narratology, particularly narrative tension, plot dynamics, focalization, and transmedial storytelling, with a strong emphasis on the didactic applications of narrative theory in language learning. He aims to develop a general narrative theory while exploring its role as a reflective and pedagogical tool in French language acquisition. His work bridges literary theory, cognitive narratology, and language pedagogy. The recent scholarly output shows a consistent focus on narrative theory, especially in graphic narratives and transmedia contexts. His publications explore narrative pacing, segmentation, immersion, and the teaching of narrative concepts. There is a clear trend toward interdisciplinary research, connecting narratology with media studies, education, and cognitive science. Raphaël Baroni founded the French-speaking Narratology Network (RRN) and co-founded the Research Group on Language Biographies (GReBL) to strengthen interdisciplinary collaboration among Francophone scholars. These initiatives reflect his commitment to building academic communities around narrative studies. He has not received any scientific awards mentioned in the source material, and no information is available about advising students or securing research grants. His work is primarily theoretical and pedagogical, with a strong publication record in narratology and French language education.

• Sleep Disorders
• Obstructive Sleep Apnea
• Digital Health
• +7 more

Dr Bastien Lechat is a Research Fellow at Flinders Health and Medical Research Institute (FHMRI): Sleep Health, within the College of Medicine and Public Health at Flinders University. He is also a Full Member of the College of Science and Engineering and the Medical Device Research Institute. As an NHMRC Emerging Leadership Fellow, he leads innovative research at the intersection of sleep medicine, artificial intelligence, and wearable technology. Education: PhD in Sleep Health, Adelaide Institute for Sleep Health, Flinders University (2018–2021) Bachelor of Engineering in Engineering Science/Acoustics, Université du Maine, France (2014–2017) Dr Lechat’s research focuses on understanding the physiological mechanisms and consequences of obstructive sleep apnea (OSA), particularly night-to-night variability and patient subtypes. He develops AI-driven tools for efficient and accurate diagnosis using wearables and signal processing. His work aims to create a scalable, low-cost model of care for sleep-disordered breathing, addressing global diagnostic gaps. His recent publications reveal a strong trend in digital health innovation, with a focus on machine learning for OSA detection, circadian rhythm modeling, cardiovascular risk prediction, and climate impacts on sleep. His research has been published in top journals including Nature Communications , Journal of Sleep Research , and Sleep Medicine , demonstrating interdisciplinary reach. Scientific Awards and Recognition: NHMRC Emerging Leadership Fellow (2023) Helen Bearpark Memorial Scholarship (2022) Emerging Research Leader Award, Flinders University (2021) Multiple early-career awards from Sleep Down Under, Australasian Sleep Association, and Adelaide Sleep Retreat Ranked in the top 5% of international authors in sleep apnea by Expertscape Dr Lechat has secured over $2.5 million in competitive research funding and actively supervises and mentors junior researchers. He serves on the program committee of the American Thoracic Society meetings and contributes to clinical guidelines. He collaborates globally with industry and academic partners to translate research into clinical practice. Laboratories and Research Teams: He co-leads the 'Novel use of digital innovations & technology development' theme at FHMRI: Sleep Health, working closely with Professor Danny Eckert. His team integrates expertise in biomedical engineering, data science, and clinical sleep physiology to advance digital sleep medicine.