Find Academic Supervisors

• Competitive Strategy
• Negotiation Analysis

Luís Almeida Costa is a Professor in the Strategy and Entrepreneurship department at Nova School of Business and Economics, where he has held leadership roles including Associate Dean, Director of the MBA Program, and Academic Director of the CEMS Master's in International Management. He also teaches at international institutions such as IMD in Lausanne and INSEAD campuses in Fontainebleau and Singapore. His educational background includes: PhD in Management from INSEAD (1994) MSc in Management from INSEAD (1993) BSc in Economics from Católica Lisbon School of Business and Economics (1988) His research focuses on Competitive Strategy and Negotiation Analysis, examining reputational effects in alliances, deployment of unique resources, and organizational attitude change. His work has been published in premier journals including Strategic Management Journal and Journal of Economics and Management Strategy. His publications from 2002-2023 reveal consistent exploration of strategic management fundamentals, with increasing emphasis on reputation dynamics in partnerships and computational modeling of organizational behavior. Awards: Best Teacher award at multiple institutions He has conducted executive programs and consulting projects for companies and governmental agencies across 14 countries including Belgium, France, Germany, Singapore, and the United Arab Emirates, demonstrating extensive international engagement in applied strategic management.

• Tropical Agriculture
• Human-Environment Interactions
• Ecology
• +7 more

Emilio Moran is a Hannah Distinguished Professor in the Department of Geography at Michigan State University, affiliated with the Center for Systems Integration and Sustainability, Center for Global Change Science, and Center for Global Change and Earth Observations. He is a member of the National Academy of Sciences and focuses on merging human and environmental sciences to address critical issues like climate change, land use, and sustainability in the Amazon region. Academic Rank: Professor Research Themes: Tropical agriculture, hydropower sustainability, biodiversity conservation, satellite-based earth observations, and human-environment interactions Email: moranef@msu.edu His recent research explores the compound effects of drought and pandemics on soybean production, energy justice frameworks for off-grid communities, and multidimensional impacts of large hydropower dams. He advocates for participatory approaches to sustainable development and uses remote sensing to analyze deforestation and land transitions. Notable awards include the Distinguished Partner Award for International Community-Engaged Scholarship (2024) and the Rachel Carson Distinguished Lecture (2011). He has secured grants such as the NSF grant for off-grid energy empowerment (2020). His work bridges anthropology, ecology, and policy analysis to tackle Amazonian development challenges.

Patrick ForréView profile

Assistant Professor

• Causal Inference
• Machine Learning Theory
• Information Theory
• +4 more

Patrick Forré is an Assistant Professor and Lab Manager of the AI4Science Lab at the Informatics Institute, Faculty of Science, University of Amsterdam. His work bridges theoretical machine learning and scientific applications, fostering interdisciplinary collaboration across informatics, mathematics, ecology, chemistry, physics, biology, and astrophysics. His research centers on mathematical foundations of machine learning including causal inference, graphical models, information theory, conditional independence structures, and geometric deep learning. He specializes in applying these techniques to scientific data problems, particularly in electro-catalysis and nitrogen fixation, where machine learning enhances molecular simulations and quantum chemical modeling. His theoretical work addresses non-linear structural causal models with cycles and latent confounders. The AI4Science Lab under his management focuses on detecting hidden patterns in scientific data through projects like electrode-electrolyte interface modeling, nitrogen-fixing coordination complexes analysis, and classical DFT neural approximations. Located in LAB42 Building at Amsterdam Science Park, the lab connects diverse scientific disciplines through machine learning innovation while organizing colloquia, workshops, and PhD defenses.

Julie MAYERView profile

Lecturer

• Risk Management
• Organizational Behavior
• Business Model Innovation
• +3 more

Julie MAYER is a Lecturer at the University of Rennes, Faculty of Economics, where she conducts research on risk management, organizational behavior, and energy policy. Her office is located at 7 place Hoche, 35065 Rennes Cedex, in Office 183 on the 1st floor, as part of the ORN (Organizations, Networks, Digital) research pole. Dr. MAYER's research program spans several interconnected domains within organizational studies and policy analysis. Her primary focus examines how organizations frame and respond to risks, particularly through attention-based perspectives. She investigates business model innovation processes, the social construction of risk, and energy policy implementation. Her recent work explores energy sufficiency through household mindfulness and gamification approaches, as well as municipal resistance to smart meter technologies. Her research bridges theoretical organizational frameworks with practical policy applications, particularly in the French and European contexts. Her publication record demonstrates a consistent scholarly trajectory from foundational work on attentional processes in risk management (2016-2019) toward more applied research on energy transitions and sustainability challenges (2020-2023). Her work appears in academic journals focusing on organizational behavior, risk management, and energy policy, with increasing emphasis on practical solutions to contemporary socio-technical challenges.

• Computer Graphics
• Computer Vision
• Video Processing
• +4 more

Prof. Dr. Thorsten Thormählen is a University Professor for Computer Graphics and Multimedia Programming in the Department of Mathematics and Computer Science at Philipps University Marburg, Germany, a position he has held since October 2012. Prior to this, he served as Substitute Professor for Interactive Graphics Systems at the University of Tübingen (2011-2012) and led the independent research group "Image-based 3D Scene Analysis" at the Max Planck Center for Visual Computing and Communication (2007-2012). His academic background includes a PhD (Dr.-Ing.) from the University of Hannover (2000-2005), where he also worked as a full-time scientific assistant, and a Diploma in Electrical Engineering from the University of Duisburg (1994-1999). Prof. Thormählen's research centers on Visual Computing , spanning Computer Graphics , Computer Vision , Video Processing , and Human-Computer Interaction . His work pioneers tools for 3D reconstruction (e.g., Multi-View Photometric Stereo), video manipulation (e.g., MovieReshape), and multimedia processing (e.g., GSN Composer), with groundbreaking contributions to accessibility through haptic and auditory interfaces for blind 3D modelers. His lab develops practical systems that bridge theoretical computer vision with real-world applications. Analysis of his 15 most recent publications reveals a consistent focus on photometric stereo techniques for 3D reconstruction, video processing innovations, and accessibility-driven interfaces. His work increasingly emphasizes inclusive design, particularly for visually impaired users, while maintaining technical rigor in camera calibration, surface modeling, and multi-sensor fusion. At the Max Planck Center, he established and led the "Image-based 3D Scene Analysis" research group, which advanced methods for reconstructing 3D environments from video sequences. His current work at Marburg continues this trajectory, integrating computer vision, graphics, and human-centered design to solve complex problems in digital content creation and accessibility.

• Model-Driven Engineering
• Graph Transformation
• Software Engineering
• +3 more

Jens Kosiol is a Lecturer in Computer Science at University of Marburg, specializing in theoretical aspects of software engineering with particular emphasis on model-driven approaches and formal methods. Dr. Kosiol's research spans several interconnected areas within computer science: Model-Driven Engineering and Software Development Graph Transformation and Rewriting Systems Formal Methods for Software Verification Model Consistency and Synchronization Software Engineering Tools and Frameworks Theoretical Foundations of Model Transformation Analysis of Dr. Kosiol's recent publications (2020-2024) reveals a cohesive research program focused on advancing the theoretical foundations of graph-based model transformation while addressing practical challenges in software engineering. His work consistently explores double-pushout rewriting, model consistency restoration, and constraint-preserving transformations. A significant portion of his research investigates how to maintain consistency across different model views while minimizing information loss during synchronization processes. His publications frequently appear in venues emphasizing rigorous theoretical frameworks with practical applications in model-driven development. Dr. Kosiol has established productive collaborations with researchers including Gabriele Taentzer, Lars Fritsche, and Stefan John, indicating active participation in international research communities focused on formal methods. His work demonstrates both theoretical depth in category theory and graph transformation, while maintaining relevance to practical software engineering challenges through implementations in frameworks like Eclipse Modeling Framework.

Colin WestView profile

Teaching Professor

• Quantum Computing
• Quantum Theory
• Physics Education Research
• +5 more

Colin West is an Associate Teaching Professor in the Department of Physics at the University of Colorado, serving as Associate Chair for Engineering Physics and a faculty mentor for the Engineering Physics Education Network (EPEN). His research spans computational quantum theory and physics education, focusing on quantum-classical computing interfaces, machine learning applications in quantum simulation, and innovative teaching methods for physics education. He actively contributes to the Physics Education Research group, investigating pedagogical tools for advanced quantum theory, course-based undergraduate research experiences (CUREs), and laboratory coursework improvements. Dr. West’s work bridges theoretical physics and education innovation, emphasizing how artificial intelligence and large language models (LLMs) can enhance physics education and inform educational research. His recent efforts include remote learning impacts in physics and experimental physics pedagogy through CUREs. He advises on curriculum development for introductory physics courses tailored to life sciences and explores the interplay between quantum computing and classical complexity theory. His office is located in DUAN F-1031, with regular advising hours and virtual access via Buff Portal.

Brent D. BealView profile

Professor

• Corporate Social Responsibility (CSR)
• Strategic Management
• Value Creation
• +5 more

Brent D. Beal is a Professor of Management at the University of Texas at Tyler's College of Business, Department of Management and Marketing. He holds a Ph.D. in Management from Texas A&M University (2001) and B.A. degrees in English and Spanish Translation from Brigham Young University (1994). His research focuses on corporate social responsibility (CSR), systemic value creation, strategic management theory's societal impacts, and the marketization of K-12 education. He has published widely in journals like the Academy of Management Journal , Journal of Business Ethics , and Journal of School Choice . Dr. Beal's work examines how strategic management practices influence income inequality through macroeconomic value flows and explores fair trade social entrepreneurship, family firm resilience, and education policy. He received the SIM 2016 Best Paper Award for analyzing income inequality through value flow frameworks. His book Corporate Social Responsibility: Definition, Core Issues, and Recent Developments (SAGE, 2015) synthesizes key CSR concepts. Teaching includes strategic management at undergraduate and graduate levels, alongside courses in entrepreneurship, international business, and qualitative research. Recent projects address the interplay between brand communities (e.g., Motor Trike), risk-taking behavior, and work passion's dark side. He actively writes teaching cases on market failures, fair trade, and family businesses, contributing to pedagogical materials that bridge theory and practice.

Hossain Muhammad MuctadirView profile

Researcher

• Digital Twin Technology
• Model Management
• Model-Driven Software Engineering (MDSE)
• +3 more

Hossain Muhammad Muctadir is a researcher at Eindhoven University of Technology’s Department of Software Engineering and Technology within the School of Mathematics and Computer Science. His work focuses on digital twin technology, model management, and model-driven software engineering. He holds a BSc in Information Technology from the University of Dhaka (2013), an MSc in Software Systems Engineering from RWTH Aachen University (2017), and a Professional Doctorate in Engineering (PDEng) in Software Technology from TU/e (2020). Research Interests: Digital Twin Development & Maintenance Model Management Systems Model-Driven Software Engineering Graph-Based Consistency Solutions Artifact Reuse in Software Systems Key Contributions: His work includes developing a consistency management framework for digital twin models, conducting industry interview studies on digital twin practices, and creating the LaMa web application for thematic labeling. He contributed to the NWO-funded Digital Twin project and the Internet of Food consortium involving Unilever and Wageningen University. Professional Experience: Five+ years as a software developer in Bangladesh and Germany, specializing in desktop/web applications and AR for HoloLens. Participated in projects with global partners like ASML and Philips Healthcare during his PDEng.

Bryan P. ActonView profile

Assistant Professor

• Leadership emergence
• Leadership identity
• Agent-based modeling & simulation
• +3 more

Bryan P. Acton is an Assistant Professor of Organizational Behavior and Leadership at Binghamton University's School of Management. His research focuses on leadership dynamics in collectives, leveraging cutting-edge methodologies like agent-based modeling to explore how leadership emerges and evolves. He holds a strong interest in leadership identity, perception measurement, and the intersection of social processes with organizational behavior. Acton's teaching interests include business statistics, teams and leadership, and R programming for modeling. His work emphasizes dynamic processes and challenges traditional static views of leadership roles. His research has explored topics such as leader identity fluidity, memory systems in leadership measurement, and team composition impacts on cohesion. He advocates for process-oriented frameworks that integrate multilevel dynamics and computational modeling. No scientific awards or grants are explicitly listed in the provided materials. His CV indicates ongoing research in leadership emergence and collective dynamics but provides no details about advising students or lab affiliations.

Dimitrios KanoulasView profile

Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +3 more

Dimitrios Kanoulas is a Professor in Robotics and AI at the Department of Computer Science, University College London (UCL). He holds the UKRI Future Leaders Fellowship and leads research in perception and learning for robotics, focusing on articulated robots navigating and manipulating in uncertain environments. His work emphasizes theoretical advancements in sensing, real-time mapping, and modeling of surface contact areas for locomotion on uneven terrain, leveraging SLAM systems and manipulation techniques. Research interests include robotics perception, SLAM, path planning, and reinforcement learning. His recent work explores adversarial attacks in path planning, high-fidelity simulators (e.g., Unreal Robotics Lab), and robust localization methods like AIR-HLoc and LiteVLoc. He also investigates humanoid robot stability, teleoperation systems, and autonomous mobile manipulators. Key contributions span legged locomotion, manipulation under uncertainty, and safety-critical control systems. His articles reflect trends in combining neural networks with traditional robotics frameworks, emphasizing real-world deployability and robustness. Beyond technical work, he emphasizes human-robot interaction through teleoperation interfaces and wearable technologies. Awards: UKRI Future Leaders Fellow Labs/Teams: RPL Lab at UCL Grants/Advising: No specific grants listed, but his research is supported by UKRI funding. Advising details not explicitly provided in text.

Lynn ChenowethView profile

Professor

• Aged Care
• Health Policy
• Dementia Research
• +3 more

Professor Lynn Chenoweth is a distinguished researcher at the University of New South Wales' Faculty of Medicine, specializing in aged care, dementia research, and health policy. With a career spanning since 1987, she has significantly influenced aged care policy and practice through her research on neurological conditions, healthcare systems, and person-centered care models. Her work bridges academic research and practical healthcare applications across multiple countries. Her research focuses on improving healthcare systems for older adults through innovative care models that promote social participation and self-determination. Chenoweth's studies consistently address the intersection of aging, chronic illness, and healthcare quality, with particular emphasis on dementia care interventions and policy reform. Chenoweth's publications demonstrate a strong focus on dementia care innovation, person-centered approaches, and healthcare quality improvement. Her recent work emphasizes implementation science, staff training effectiveness, and family involvement in care decision-making. UTS Research Excellence in Research Partnership 2010 Alzheimer’s Disease International-Fondation Mederic Alzheimer Award 2012 Alzheimer's Disease International Award for Most Innovative Psychosocial Dementia Intervention Project 2012 UNSW Gold Star for Research 2013 She has supervised 22 PhD, 10 Master's, and 3 Bachelor of Medical Research students to completion, while mentoring over 150 clinician-led studies. Her substantial research funding includes leadership of over 68 competitively funded studies worth $12M+ and collaboration on NIH-UK projects exceeding $5M. Chenoweth leads multidisciplinary teams through the Centre for Healthy Brain Ageing, collaborating with 200+ researchers internationally. Her work involves extensive partnerships with healthcare providers, policy makers, and consumer advocacy groups to translate research into practice.

• Operations and Supply Chain Management
• Digital Innovation
• Complex Systems Modelling
• +3 more

Professor Kieran Jude Fernandes serves as Executive Dean of Durham University Business School, a globally ranked institution renowned for research excellence and societal impact. He holds additional affiliations as Fellow of the Academy of Social Sciences, University College Durham, and the Wolfson Research Institute. His extensive advisory roles include Trustee of the BALTIC Centre for Contemporary Art, Vice-Chair of the UK National Commission for UNESCO, and Director of the Northern Powerhouse Innovation Observatory. His research expertise spans three interconnected domains: Operations and Supply Chain Management focusing on optimization, digitization, sustainability, and risk mitigation Innovation and Technology Management examining digital business models and technology adoption Complex Systems Modelling analyzing innovation diffusion in social and economic networks His work bridges theoretical rigor with practical application across pharmaceutical, construction, and digital sectors. Professor Fernandes' publication portfolio reveals consistent leadership in supply chain digitalization, with recent emphasis on blockchain implementation, sustainability-performance linkages, and network effects in innovation systems. His 2023-2025 articles demonstrate growing integration of machine learning techniques with traditional operations frameworks. His distinguished recognition includes: NASA Space Shuttle Main Engine Continuous Improvement Award Rutherford Excellence in Engineering Award Financial Times Professor of the Week designation University of York Vice-Chancellor's Gold Medal As an academic leader, he supervises doctoral candidates including Jafni Bin Johari Jiken and Kieran Purvis while directing significant research initiatives. His grant portfolio features funding from ESRC, EPSRC, NASA, Royal Academy of Engineering, and Swiss Federal Department of Foreign Affairs, supporting projects that translate complex systems modeling into sector-specific innovations. His UNESCO advisory work extends this impact to global sustainable development frameworks.

• Bioinformatics
• Machine Learning
• Health Informatics
• +3 more

Dr. Matloob Khushi is an academic staff member at the University of Sydney's School of Computer Science, where he has held roles since joining in 2017. He earned his Ph.D. from the University of Sydney and has published over 50 research papers. His research focuses on big data analysis, machine learning applications in health, finance, and genomics, with notable contributions to adverse drug event prediction, bioinformatics tools, and predictive modeling in healthcare. Dr. Khushi's work has been recognized in media for innovations like the MatCol tool aiding cancer research. Education: Ph.D. in Computer Science, University of Sydney (2008). Research Interests: Machine learning for big data, biomedical informatics, financial analytics, and health informatics. Recent articles highlight advancements in graph neural networks, predictive models for chronic diseases, and tools for genomic analysis. He advises two Ph.D. students and collaborates on interdisciplinary projects.

• Computer Vision
• Robotics
• 3D Vision
• +4 more

Sangyun Shin is a Researcher in the Department of Computer Science at the University of Oxford, supervised by Professors Niki Trigoni and Andrew Markham. His work focuses on advancing object localization systems for robotics through 3D vision technologies. He specializes in integrating multimodal sensing (e.g., RGB-D cameras, acoustic arrays) to enhance robotic perception in challenging environments. His research interests include 3D motion capture for wildlife, domain-adaptive 3D detection, and self-supervised learning for nighttime vision. He has explored applications ranging from long-range wildlife tracking to autonomous drone navigation using reinforcement learning. Recent efforts emphasize sensor fusion and neural network architectures tailored for dynamic environments. Key technical contributions include the SoundLoc3D system for 3D sound localization and the WildPose framework for wildlife motion capture. His publications span topics like acoustic neural warping fields (SPEAR), spherical point cloud segmentation, and LiDAR-based object detection for urban driving. Shin's work bridges theoretical advancements in machine learning with practical robotics applications, addressing challenges such as cross-domain adaptation and low-resource sensor setups. His research has implications for autonomous systems, environmental monitoring, and human-drone interaction interfaces.