Find Academic Supervisors

• Semi-globalization strategies
• Family firm strategies
• Institutional approaches to strategy
• +5 more

Jean-Luc Arregle is a Professor in the Strategy & Organization department at emlyon business school , where he has served since 2012. He previously held a professorship at EDHEC Business School (2010-2011) and served as Director of the PhD Program at emlyon (2015-2018). Arregle is also an Associate Dean for Research at emlyon business school. PhD in Management Sciences (1992, IAE Aix-en-Provence) Accreditation to Supervise Research (1998, IAE Nice) His research focuses on semi-globalization strategies , family firm strategic choices , and institutional influences on multinational enterprises . Publications analyze: organizational autonomy dynamics, family firm internationalization patterns, institutional complexity in foreign investment, multilevel strategic analysis, and resource orchestration in mergers. He serves on editorial boards of Journal of International Business Studies , Strategic Organization , and Entrepreneurship Theory & Practice . Notable works include longitudinal studies of Lamborghini's post-acquisition autonomy management and meta-analytic reviews on family firm uniqueness. Recent publications emphasize: Dynamic frameworks for subsidiary autonomy (2024) Family business-international business integration (2024) Host country politics in multinational strategy (2023) Autonomy oscillation mechanisms (2022) Scientific contributions include Editorial board memberships across 5 journals International Teachers Program (EFMD, 1990) Keynote presentations at Academy of International Business and Strategic Management Society conferences Arregle's work combines theoretical rigor with practical insights from automotive industry case studies (Audi-Lamborghini integration), demonstrating how organizational identity preservation and resource orchestration enable sustained competitive advantage in multinational contexts.

Diogo BarrosView profile

Lecturer

• Fluid Mechanics
• Thermodynamics
• Heat Transfer
• +1 more

Diogo Barros serves as a Lecturer in the Department of Mechanical Engineering within the Faculty of Science and Technology at Aix-Marseille University. His research activities are centered at the IRPHÉ (Institut de Recherche sur les Phénomènes Hors Équilibre), a prominent research laboratory specializing in non-equilibrium phenomena. His research interests focus on experimental fluid dynamics, thermodynamics, and heat transfer, leveraging IRPHÉ's advanced experimental facilities. This work contributes to fundamental understanding of complex fluid behavior under non-equilibrium conditions. Professional recognition includes an ORCID profile (0000-0003-3839-0203) and active scholarly networking through ResearchGate and LinkedIn. While specific awards are not documented in available sources, his institutional affiliation with IRPHÉ—a joint research unit of CNRS, Aix-Marseille University, and École Centrale de Marseille—signifies engagement in high-caliber research. Dr. Barros participates in academic mentoring within mechanical engineering programs and contributes to departmental research initiatives. His work aligns with IRPHÉ's mission to investigate fluid mechanics, acoustics, and thermal physics through experimental, theoretical, and numerical approaches.

Kyle LewisView profile

Professor

• Organizational Behavior
• Knowledge Management
• Team Performance
• +5 more

Kyle Lewis is a Professor and Christian A. Felipe Chair in Technology Management at the University of California, Santa Barbara (UCSB), where she serves as Chair of the Technology Management Program in the College of Engineering. Her research examines how organizations leverage individual and collective knowledge, focusing on team performance in professional services, new product development, and project-based tasks. She has authored award-winning research in journals like Management Science , Academy of Management Review , and Organization Science , and received the Jay Wright Forrester Award for her work on system dynamics modeling of organizational learning. Education : PhD in Organizational Behavior & Human Resources Management (University of Maryland), MS in Industrial Administration (Carnegie Mellon University), BS in Computer Science and Mathematics (Duke University). Lewis’s research spans transactive memory systems, collective intelligence, and bias interruption strategies. Her work, often conducted with co-authors like Edward G. Anderson and David Bachrach, explores team diversity, knowledge retention amid disruptions, and organizational structures. She has applied system dynamics and social network analysis to model performance in financial services, healthcare, and engineering teams. Her recent publications (2018-2020) include studies on team reflexivity in healthcare, AI product management, and cross-understanding mechanisms. The scientific awards she has received include: Jay Wright Forrester Award (2018) Top 50 Women in Business (Pacific Coast Business Times) Academy of Management Best Paper Award (2005) Lewis has delivered over 20 invited lectures (2016-2019) on topics ranging from Interrupting Implicit Bias to Effective Teaming at institutions like UC Tech, CSU System, and NORDP. She previously held editorial roles as Senior Editor for Organization Science and Associate Editor for Management Science , and directed the Master of Science in Technology Commercialization at University of Texas, Austin.

Egor KostylevView profile

Associate Professor

• Foundations of AI
• Symbolic AI
• Description Logics
• +9 more

Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.

Alexander KatsaitisView profile

Associate Professor

• Policy-Making Processes
• Interest Group Dynamics
• Transparency in Governance
• +3 more

Name: Alexander Katsaitis Position: Associate Professor, Docent Affiliation: Department of Political Science, Stockholm University Email: a.katsaitis@statsvet.su.se ORCID: 0000-0002-9427-6328 Education: PhD, University College London (October 2016) Research Focus: Alexander Katsaitis's research centers on the intersection of policymaker-organized interest interactions, decision-making procedures, and transnational partisan linkages. His work aims to enhance government policymaking through evidence-based recommendations in governance, transparency, and accountability. He has explored regulatory modernization in lobbying, gender representation in EU lobbying, and the evolving nature of EU business lobbying. Publications Trends: Katsaitis has published extensively on EU governance, business-government relations, and transparency mechanisms. His work includes a monograph on "Business Lobbying in the EU" (2021) and co-edited the "Handbook on Lobbying & Public Policy" (2024). Recent articles focus on political financing tracking, lobbying ethics, and institutional dynamics in the European Parliament. Previous Appointments: Before joining Stockholm University, Katsaitis held fellowships at the London School of Economics, European University Institute, and University of Oslo.

• Traffic Data Acquisition
• Traffic Data Analysis
• Video-Based Microscopic Traffic Flow Simulation
• +2 more

Dr. Adrian Fazekas is a Lecturer at the Institute of Highway Engineering, RWTH Aachen University, and collaborates with the Federal Highway Research Institute (BASt). He holds a Dr.-Ing. in Computer Science from RWTH Aachen (2005–2011), specializing in Media Engineering. His professional trajectory includes roles as a Research Assistant at RWTH Aachen and industry experience as a Software Developer at Continental AG. Research interests focus on traffic data acquisition , microscopic traffic flow simulation , and intelligent transportation systems . Key projects include: DROVA: Drone-based traffic analysis for infrastructure optimization ESIMAS: Real-time tunnel safety management Digital Twin Road: Physical-informational mapping of future highways AUTUKAR: Automated tunnel monitoring systems His publications emphasize real-time traffic detection , safety analytics , and data-driven modeling , with recent work exploring thermal-camera nudging systems and weigh-in-motion accuracy. He actively contributes to the Research Association for Roads, Earth and Tunneling (SETAC). No awards or student advising roles are documented.

Jochen GarckeView profile

Professor

• Numerical Methods in Science and Technology
• Machine Learning
• Sparse Grids
• +5 more

Prof. Dr. Jochen Garcke is a faculty member at the Institute for Numerical Simulation, University of Bonn, with a dual affiliation at Fraunhofer SCAI's Department of Numerical Data-Based Prediction. His work bridges numerical simulation and machine learning, focusing on high-dimensional problems, sparse grids, and optimal control. Key research themes: Sparse grids, machine learning for simulations, reinforcement learning, uncertainty quantification Teaching includes courses on Numerical Methods in Science and Technology and Scientific Computing , emphasizing practical machine learning applications. Recent publications explore hybrid models combining data-driven and physics-based approaches in automotive engineering, wind turbines, and geoscientific modeling. His group employs adaptive sparse grids, graph algorithms, and spectral methods to tackle challenges in crash simulations, fluctuating renewable energy systems, and turbulent flow analysis. Collaborations span Fraunhofer SCAI and industry 4.0 initiatives.

Carla TanguayView profile

Associate Clinical Professor

• Teacher Education
• Urban Education
• Educator Development
• +4 more

Carla Tanguay is a Clinical Associate Professor and Assistant Dean for Educator Preparation and Accreditation at Georgia State University's College of Education & Human Development (CEHD). She has held leadership roles in teacher preparation since 2007, including 12 years coordinating the BS in Elementary Education program. Her work focuses on clinical practice, teacher development, accreditation, and urban education partnerships. She co-chairs the P-20 Metro-Atlanta Collaborative and leads the NSF-funded 'Preparing, Supporting and Retaining Elementary Mathematics Specialists (PSREMS)' project. Tanguay chairs the CEHD Assessment and Accreditation Committee and serves on state policy committees for teacher performance assessments (edTPA). Education: Ph.D. (2018), Ed.S. (2006), M.A. (1991), and B.A. (1985) in Education fields from Georgia State University and other institutions. Specializations include teacher education, school partnerships, instructional supervision, and accreditation. She has led program evaluations, policy development, and university-school collaborations to strengthen educator preparation. Research emphasizes teacher development, assessment systems, urban education challenges, and mathematics specialist training. Her work bridges policy implementation and practical classroom needs, with a focus on equity and educator effectiveness. She collaborates with national organizations like CEEDAR and state committees to shape teacher preparation standards.

Andrea GarzelliView profile

Professor

• Remote Sensing
• Image Processing
• Signal Processing
• +4 more

Andrea Garzelli is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. His research focuses on remote sensing image processing, particularly in optical and SAR sensor technologies, image fusion, and spatial resolution enhancement. He holds teaching roles in 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing.' He earned his Ph.D. in Computer Science and Telecommunication Engineering from the University of Florence. Notably, he was recognized as a World's Top 2% Scientist by Stanford University for 2019–2023 and his career-long contributions. He served as President of the University of Siena's Quality Assurance Committee (2016–2021) and currently coordinates the graduate program in Computer and Information Engineering. Research interests include satellite data analysis (e.g., Sentinel-2, PRISMA), hypersharpening techniques, and environmental monitoring. His work bridges theoretical advancements (e.g., pansharpening algorithms) and practical applications like urban land classification and vegetation index enhancement. Recent articles emphasize reproducibility, meta-analysis, and synthetic data generation through GANs. Awards: World's Top 2% Scientists (2019–2023 & career). Grants/Advising: Supervises remote sensing theses; no specific grants mentioned. Labs/Teams: Leading research in the department's remote sensing and signal processing groups.

• Computer Vision
• Scene Understanding
• 3D/4D Vision
• +7 more

Dr. Armin Mustafa is an Associate Professor in Computer Vision and AI at the University of Surrey, where he holds a prestigious Royal Academy of Engineering Research Fellow position. He is affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP), the School of Computer Science and Electronic Engineering, and the Surrey Institute for People-Centred Artificial Intelligence (PAI). His research focuses on developing AI systems for visual understanding of complex dynamic scenes, with applications in entertainment, autonomous systems, and augmented/virtual reality. Dr. Mustafa completed his PhD in general dynamic scene reconstruction from multi-view videos in 2016 from the University of Surrey under the supervision of Prof. Adrian Hilton. Prior to his doctoral studies, he worked for three years (2010-2013) at Samsung Research Institute in Bangalore, India, in the field of Computer Vision. His research expertise spans Computer Vision, Scene Understanding, 3D/4D Vision, Virtual Reality, Light Fields, Machine Learning, Video Captioning, Augmented Reality, Artificial Intelligence, and Audio-visual Video Understanding. Dr. Mustafa has pioneered advances in 4D vision, NLP, and Scene Understanding over the past decade, with a particular focus on enabling machines to model and interpret real-world environments for socially beneficial applications. His work bridges theoretical advances in computer vision with practical applications in media production, virtual reality, and autonomous systems. Analysis of Dr. Mustafa's recent publications reveals a strong focus on multimodal learning, particularly the integration of audio and visual information for scene understanding. His work spans diverse areas including shadow detection and removal, audio event classification, video captioning, person image generation, and dynamic scene reconstruction. A notable trend is his exploration of transformer architectures for both vision and audio tasks, as well as the application of self-supervised learning techniques to reduce dependency on labeled data. Dr. Mustafa has received numerous prestigious awards: 2018 - Research Fellowship, The Royal Academy of Engineering, UK 2017 - Young Researcher award, CVPR 2016 - Doctoral Consortium grant, CVPR 2015 - BMVA travel grant for ICCV 2014 - Set-Squared Research to Innovator grant 2013 - Overseas Research Scholarship, FEPS, The University of Surrey 2010 - Cadence Silver Medal, Indian Institute of Technology, Kanpur As a dedicated mentor, Dr. Mustafa supervises several PhD students working on cutting-edge topics including multi-person reconstruction, audio-visual scene understanding, and automatic storyboard generation. His research is supported by significant grants including a £15 million UKRI Prosperity Partnership with the BBC (AI4ME), a 5-year Royal Academy of Engineering fellowship (4D Vision for Perceptive Machines), and multiple projects with industry partners such as Figment Productions and Foundry. Dr. Mustafa is an active member of the Centre for Vision, Speech and Signal Processing (CVSSP), one of the world's leading research centers in vision, speech, and signal processing. He also contributes to the Surrey Institute for People-Centred Artificial Intelligence (PAI), where he serves as a Surrey AI Fellow. His work often involves collaboration with industry partners and other academic institutions across Europe.

Myriam M.A.H. CloodtView profile

Associate Professor

• Open Innovation
• Corporate Entrepreneurship
• Strategy
• +8 more

Myriam M.A.H. Cloodt serves as an Associate Professor of Open Innovation and Entrepreneurship at the Department of Innovation, Technology Entrepreneurship & Marketing (ITEM) within the School of Industrial Engineering at Eindhoven University of Technology (TU/e). She is also affiliated with EAISI High Tech Systems as a University Researcher. Her academic career spans over two decades, with a continuous focus on understanding innovation processes in complex business environments. Dr. Cloodt earned her MSc in Business Economics from Maastricht University in 1997. After working as a lecturer for two years, she began her PhD research at the Department of Organization & Strategy, completing her dissertation at METEOR (Maastricht University) on measuring innovative performance of high-tech companies after mergers and acquisitions. She joined Eindhoven University of Technology in July 2004 as a researcher at the School of Technology Management, becoming Assistant Professor in June 2006, and was promoted to Associate Professor of Open Innovation and Entrepreneurship in August 2017. Her research focuses on open innovation, corporate entrepreneurship, and strategic management, with particular interest in corporate venturing, strategic technology alliances, mergers and acquisitions, network analysis, and value constellations within innovation ecosystems. Dr. Cloodt's work bridges academic theory and practical application, as evidenced by her participation in industry projects for companies and innovation ecosystems like the High Tech Campus Eindhoven. Her publications span prestigious journals including Research Policy, Journal of Product Innovation Management, and Technological Forecasting and Social Change, as well as book chapters for Oxford University Press. Analysis of her recent publications reveals a strong trajectory toward circular economy applications, particularly in plastics innovation, alongside continued work on innovation ecosystems, science parks, and military innovation contexts. Her research demonstrates methodological diversity, employing network analysis, case studies, and stated choice experiments to investigate complex innovation phenomena across different sectors and organizational contexts. Best Paper Award - Mature PhD Student at the ESU European University Network on Entrepreneurship Conference (2021) Dr. Cloodt actively supervises graduate students and has contributed to numerous research projects, including C-PlaNeT (Circular Plastics Network for training), SEE-V-Lab, and the Brabant Center of Entrepreneurship. Her professional engagements extend to developing publications for organizations such as Adviesraad voor het Wetenschaps- en Technologiebeleid (AWT) and Het Financieele Dagblad. In teaching, she contributes to the BSc program in Industrial Engineering & Management Science, the MSc program in Innovation Management, and the Certificate program in Technology Entrepreneurship & Management. Her work aligns with UN Sustainable Development Goals, particularly through contributions to circular economy research and sustainable innovation practices. Dr. Cloodt maintains active collaborations with industry partners and participates in significant academic conferences including the Annual World Open Innovation Conference where she serves on program committees.

• Cybersecurity
• Data Encryption
• Access Control Systems
• +3 more

Willem Jonker is a Full Professor at the Digital Society Institute, specializing in Semantics, Cybersecurity & Services. His research focuses on encryption schemes, access control, and privacy-preserving technologies. He has contributed to over 120 publications, with recent work addressing CVE-to-CWE mapping, anomaly detection in network traffic, and functional encryption systems. His expertise aligns with UN Sustainable Development Goals related to secure digital systems and privacy. Jonker has supervised 10 students and actively participates in academic conferences, presenting on topics like secure data management and cryptographic protocols. Research interests include cryptographic protocols, secure data management, and cybersecurity solutions. Notable projects involve developing methods for detecting covert channels, enhancing data privacy in healthcare, and improving secure search over encrypted data. He has also contributed to standards in digital rights management and forensic image recognition.

Serena BoothView profile

Assistant Professor

• Human-AI Interaction
• Reinforcement Learning
• AI Policy
• +3 more

Serena Booth is an incoming Assistant Professor in Computer Science at Brown University. Previously, she served as an AAAS AI Policy Fellow in the U.S. Senate, advising the Senate Banking Committee on AI policy. She holds a PhD from MIT CSAIL (2023) and a BA from Harvard College (2016). Her research focuses on human-AI interaction, specification design for AI systems, and ethical AI practices. She also worked as an Associate Product Manager at Google, scaling ARCore to 100 million devices. Her research explores how humans specify AI behaviors, assess system success, and mitigate misalignment risks. Key contributions include Bayes-TrEx (model transparency via Bayesian sampling) and RoCUS (robot controller understanding). Her work has been supported by NSF GRFP and MIT Presidential Fellowships. She advocates for science policy equity through MIT's Science Policy Initiative and co-founded initiatives to support women in computing (e.g., GW6 at MIT). Education: PhD MIT CSAIL (2023), BA Harvard College (2016) Awards: Rising Star in EECS, HRI Pioneer, NSF GRFP Key Areas: Reward design pitfalls, human-robot trust, ethical AI curriculum development Her recent publications analyze reward function misdesign (AAAI 2023), human-AI teaching frameworks (HRI 2022), and feature attribution reliability (AAAI 2022). She currently seeks PhD students/postdocs focusing on human-AI alignment, reinforcement learning, and policy implications.

• Cartography
• Geomatic Engineering
• Historical Map Analysis
• +4 more

Dr. Yizi Chen is a Researcher affiliated with the Professorship for Cartography at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. Their work focuses on advancing cartographic techniques through AI-driven methods, historical map analysis, and geospatial technologies. Key contributions include automated map vectorization, semantic segmentation of historical maps, and integrating multimodal data for robotic systems. They have published extensively in top-tier journals and conferences, addressing challenges in deep learning applications for geomatic engineering. Education details are not explicitly provided in the text. Research interests include semantic segmentation, generative AI for cartography, and steganography in image translation. Notable publications span topics from eye-tracking segmentation to urban land use mapping, reflecting a strong interdisciplinary approach. Dr. Chen collaborates on projects involving historical map digitization and benchmarking datasets for computer vision tasks. No awards or grants are mentioned. Their work contributes to advancing geomatic engineering through innovative solutions in digital mapping and spatial data analysis.

Anne StaffordView profile

Professor

• Public Sector Accountability
• Public-Private Partnerships (PPPs)
• Financial Reporting and Analysis
• +3 more

Anne Stafford is a Professor of Accounting and Finance at Alliance Manchester Business School, University of Manchester. She holds a prominent role in critical and historical analyses of institutions and accountability, particularly focusing on public policy, public-private partnerships (PPPs), and public sector governance. Her research has significantly influenced national and international debates on PPPs' costs, accountability, and governance. Previously, she served at UMIST and Birmingham City University, with over 30 years of experience in lecturing and industry as a management accountant. She has contributed to professional bodies like the ACCA’s Global Forum for the Public Sector and CIGAR network. Her work aligns with UN Sustainable Development Goals, emphasizing economic and societal impacts. Research interests include financial analysis of PPPs, corporate governance, and the interplay between professional accounting education and practice. Key areas of focus are the UK’s Private Finance Initiative (PFI) and the evaluation of infrastructure projects' affordability and value for money. Her 2019 Miriam Hederman O’Brien prize acknowledges her impactful research in fiscal policy and PPPs. She has also explored the implications of AI on accounting education and the challenges of accountability in hybrid governance structures. Her work has generated economic and political impacts, such as influencing infrastructure financing policies and public sector accountability frameworks. She actively participates in thought leadership initiatives, including the ‘On Infrastructure’ report, addressing climatic change and infrastructure sustainability.