Find Academic Supervisors

• Sustainability Accounting
• Corporate Social Responsibility
• Social Enterprises
• +3 more

Hannele Mäkelä serves as an Associate Professor in the Department of Accounting within the Faculty of Management and Business at Tampere University. Her academic profile centers on critical examinations of accounting practices through the lens of sustainability, corporate social responsibility, and stakeholder engagement, with particular emphasis on socio-political dynamics and environmental considerations. Her primary research interests include Sustainability Accounting, Corporate Social Responsibility, Social Enterprises, Stakeholder Engagement, Environmental Accounting, and Sustainability Reporting. She investigates how traditional accounting frameworks can be expanded to address complex sustainability challenges, employing discourse analysis to critique the objectivity of materiality disclosures and exploring nature-inclusive stakeholder relationships in urban ecosystems. Her work consistently challenges ideological assumptions in corporate reporting while advocating for more inclusive and environmentally responsive accounting practices. Analysis of her 15 most recent publications (2018-2023) reveals a cohesive focus on urban ecosystem services, mining operations, and sustainability integration in accounting education. Key trends include the deconstruction of materiality illusions in sustainability reporting, critical assessments of responsible mining practices (notably at Talvivaara), and the exploration of accounting's role in social enterprises. Her research demonstrates a methodological preference for qualitative discourse analysis to uncover power dynamics in stakeholder engagement, with recurring themes of cultural sustainability in heritage sites and the socio-political nature of environmental accountability. While specific awards, grants, or student supervision details are absent from the provided materials, her extensive publication record in specialized journals like the Social and Environmental Accounting Journal underscores her active contribution to advancing critical perspectives in sustainability accounting. Her work shows strong institutional engagement through Tampere University's City Centre Campus, with practical implications for municipal reporting, mining industry accountability, and accounting curriculum development.

• Infrastructure planning
• Risk management
• Business cases for infrastructure
• +8 more

Dr. E. John Ward is an Associate Professor in Infrastructure Planning at The Bartlett School of Planning, University College London , where he also serves as Director of the MSc Infrastructure Planning, Appraisal and Development . His work bridges quantitative and qualitative methodologies in infrastructure appraisal, focusing on Cost-Benefit Analysis , Multi-Criteria Analysis , and Strategic Risk Mitigation . Education: BEng/MSc in European Civil Engineering, University of Warwick (1999) MSc/DIC in Earthquake Engineering and Structural Dynamics, Imperial College London (2001) PhD in Computer Modelling of Pedestrian Movement, UCL (2007) Research Focus: Success metrics for Mega Transport Projects and Infrastructure Interdependencies Integration of Sustainable Development Goals into appraisal frameworks Policy-led Multi-Criteria Analysis for complex stakeholder environments Professional Contributions: Senior Research Fellow at the OMEGA Centre External Examiner for MSc SEM4ID, University of Swansea (2018-2023) Consultancy roles for the European Investment Bank , EIB , and governments including Malta and Croatia Key Publications include foundational work on Policy-Led Multi-Criteria Analysis and Risk Management in mega infrastructure projects. His scientific award as Senior Research Fellow at the OMEGA Centre highlights his expertise in strategic infrastructure appraisal.

Keunhyun ParkView profile

Assistant Professor

• Urban Forestry
• Environmental Justice
• Human Behavior in Public Space
• +4 more

Keunhyun (Keun) Park is an Assistant Professor of Urban Forestry at the University of British Columbia (UBC), affiliated with the Department of Forest Resources Management . He also holds an Adjunct Professor position at Utah State University in the Department of Landscape Architecture and Environmental Planning. Education: BSc and MSc in Landscape Architecture from Seoul National University; PhD in Urban Planning and Design from the University of Utah Research Lab: Faculty lead of the Urban Nature Design Research Lab ( under_lab ) His research focuses on designing healthy, just, and resilient cities through urban nature , with particular emphasis on: Environmental justice and equitable access to urban green spaces Human behavior in public spaces using drone/sensor/VR technology Smart growth urban design impacts on public health and ecological systems Recent publications demonstrate expertise in GIS applications , pedestrian behavior analysis , and urban planning across 20+ studies from 2013-2025. Collaborations include the Vancouver Park Board , Metro Vancouver , and Wasatch Front Regional Council .

John E. TaylorView profile

Professor

• Smart City Digital Twins
• Urban Infrastructure Resilience
• Network Dynamics
• +5 more

John E. Taylor is the Frederick Law Olmsted Professor and Associate Chair for Faculty Development and Research Innovation at the Georgia Institute of Technology's School of Civil and Environmental Engineering within the College of Engineering. His research focuses on the intersection of human and engineered networks, with particular emphasis on creating resilient infrastructure systems that serve society's needs while creating more livable communities. Taylor's research interests span multiple domains including Smart City Digital Twins , Urban Infrastructure Resilience , Network Dynamics , and Building-Occupant Interaction . His work examines how human behavior, infrastructure systems, and environmental factors interact during normal operations and extreme events. He has developed innovative approaches to understanding urban systems through the lens of network theory and computational modeling. His publication record demonstrates consistent contributions to the fields of urban analytics and infrastructure resilience, with a recent focus on digital twin technologies for urban systems. Taylor's work shows a clear trajectory toward increasingly sophisticated integration of AI, network science, and civil infrastructure engineering to address complex urban challenges. His research has particular relevance for cities facing climate change impacts and seeking to build more equitable and resilient communities. Taylor leads the Network Dynamics Lab at Georgia Tech, where he mentors PhD students and postdoctoral researchers. His lab has produced significant work on human-infrastructure interaction, particularly during disasters and extreme events. The lab's research combines computational modeling, data analytics, and field studies to understand and improve urban systems. His work has been applied to real-world challenges including river emergency response systems, urban heat exposure forecasting, and disaster response optimization. Taylor has collaborated with city officials and agencies to implement systems that have demonstrable community benefits, such as the AI-enabled camera system for drowning prevention on the Chattahoochee River and crime reduction systems using mobile cameras guided by AI algorithms.

Karen M FeighView profile

Professor

• Cognitive Engineering
• Human Factors Engineering
• Air Traffic Management
• +3 more

Karen M Feigh is a Professor and Associate Chair for Research in the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology, holding the prestigious David S. Lewis Professorship. Her interdisciplinary work integrates aerospace engineering with cognitive sciences to address human-machine interaction challenges in complex aviation and autonomy systems. Education B.S. in Aerospace Engineering, Georgia Institute of Technology MPhil in Aeronautics, Cranfield University, UK Ph.D. in Industrial and Systems Engineering, Georgia Institute of Technology Dr. Feigh's research centers on cognitive engineering applications for flight operations and air traffic management. Through ethnographic studies, human-in-the-loop experiments, and expert system design, she develops solutions that align technology with human cognitive processes to enhance safety and efficiency in NextGen air traffic concepts, vertical lift systems, and autonomous vehicle operations. Scientific Awards David S. Lewis Professorship in the School of Aerospace Engineering (2025) AIAA Wilbur and Orville Wright Graduate Award (2006) Zonta International Amelia Earhart Fellowship (2005) National Science Foundation Graduate Research Fellowship (2001-2006) Marshall Scholarship (2001-2003) As director of the Cognitive Engineering Center (CEC), Dr. Feigh mentors graduate researchers and leads interdisciplinary collaborations across Georgia Tech's research ecosystem. The CEC, embedded within the Vertical Lift Research Center of Excellence and Institute for Robotics and Intelligent Machines, secures funding from agencies including NSF and AIAA to advance adaptive intelligence for industrial robotics and air traffic control systems. Laboratories and Collaborations The Cognitive Engineering Center under Dr. Feigh's leadership conducts field work, human-subjects studies, and mathematical modeling to solve human-machine interaction challenges. The lab maintains active partnerships with NASA, FAA, and industry stakeholders to implement research findings in real-world aerospace operations, with current focus on adaptive interfaces for autonomous systems and crew decision support tools.

Shimon Y. NofView profile

Professor

• Collaborative Robotics
• Cyber-Physical Systems
• Industrial Automation
• +10 more

Shimon Y. Nof is a Professor of Industrial Engineering at Purdue University's PRISM Center , where he directs NSF-industry supported research on collaborative robotics, cyber-physical systems, and industrial automation. He has held visiting positions at MIT and universities across six countries. Education: B.Sc./M.Sc. in Industrial Engineering & Management (Technion, Israel), Ph.D. in Industrial & Operations Engineering (University of Michigan) Key Achievements: Pioneered computer-aided facility design and Collaborative Control Theory (CCT), with applications spanning factories of the future, agricultural robotics, and transportation security systems His research focuses on cyber-supported integration of distributed e-Work systems and robotics, including precision agriculture with sensor networks. The PRISM Center under his leadership has developed groundbreaking protocols like Best Matching Protocol (BMP) and HUB-CI telerobotics, with real-world implementations across 400+ labs globally. Scientific honors include: Engelberger Medal (2002) Induction into Purdue's Book of Great Teachers (1999) Leadership roles in IFPR and IFAC Multiple book awards from Association of American Publishers The PRISM Global Research Network (est. 2001) now extends his work through 18 books and 6 patents, including the FTTP-TIF communication protocol and Facility Sensor Network (FSN) technology currently applied in greenhouse robotic operations.

Christiane C. SchubertView profile

Assistant Professor

• Medical Education
• Healthcare Systems
• Patient Work Systems
• +6 more

Christiane C. Schubert is an Assistant Professor in Medical Education at the School of Medicine and an Assistant Professor in Interdisciplinary Studies at the School of Behavioral Health at Loma Linda University. Her dual appointments reflect her interdisciplinary approach to healthcare research and education, bridging medical education with behavioral health perspectives. Dr. Schubert's educational background includes: PhD from Loma Linda University (2008) MS from Northern Arizona University (1999) BS from Northern Arizona University (1997) Her research program focuses on understanding healthcare systems through multiple lenses. She investigates how patients with chronic illnesses navigate self-care within complex healthcare environments, with particular attention to macroergonomic factors that influence patient work systems. Dr. Schubert examines resilience in healthcare settings, exploring how both patients and providers adapt to challenges in clinical environments. Her work addresses cultural factors in healthcare, particularly examining how acculturation affects health-promoting behaviors among Arab Americans. Through her studies on novice-expert differences in emergency medicine, she contributes to understanding cognitive work processes in high-stakes clinical settings. Her interdisciplinary approach integrates insights from medical education, behavioral health, and systems engineering to address complex healthcare challenges. Dr. Schubert's scholarly output from 2012-2017 demonstrates consistent contributions across healthcare resilience, patient work systems, medical education, and cultural competence. Her publications reveal a trajectory of increasingly sophisticated systems thinking applied to healthcare delivery challenges, with a particular emphasis on understanding patient experiences and clinician cognition within complex healthcare environments. Dr. Schubert has maintained an active research and publication record since completing her PhD in 2008. Her work demonstrates a commitment to improving healthcare delivery through better understanding of patient experiences, clinician cognition, and system-level factors that influence healthcare outcomes. Her interdisciplinary appointments position her to bridge traditional academic boundaries in addressing complex healthcare challenges.

Diego CalvaneseView profile

Professor

• Knowledge Representation and Reasoning
• Virtual Knowledge Graphs
• Ontology-based Data Access and Integration
• +7 more

Diego Calvanese is a Full Professor in Computer Engineering at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy. He serves as Spokesperson of the Institute of Computer Science and Artificial Intelligence and Director of the Smart Data Factory technology transfer lab at NOI Techpark. As Coordinator of the Intelligent Integration and Access to Data (In2Data) research group, part of the Research Centre for Knowledge and Data (KRDB), he leads significant research initiatives in knowledge representation and data management. Calvanese's research focuses on virtual knowledge graphs for data access and integration, ontology-based data access, description logics, semantic web technologies, graph data management, and verification of data-aware processes. His work bridges theoretical foundations with practical applications through the Ontop framework, which enables SPARQL query answering over OWL 2 QL ontologies connected to external data sources. His research has substantial practical impact, powering the South Tyrol Open Data Hub Knowledge Graph and supporting numerous European and national research projects. With more than 400 refereed publications and over 39,000 citations (h-index 80), Calvanese's recent work demonstrates continued leadership in virtual knowledge graphs, ontology-based data federation, explainable AI through knowledge representation, and integration of complex data types including 3D city models and raster data. His publications show a clear trajectory from theoretical foundations toward increasingly practical and applied research addressing real-world data integration challenges across multiple domains. ACM Fellow (2019) EurAI Fellow (2015) AAIA Fellow Program Chair of PODS 2015 and KR 2020 General Chair of ESSLLI 2016 Calvanese has secured significant research funding through numerous competitive projects including EU H2020 INFRAEOS Project (INODE), Italian PRIN Project (HOPE), FESR Project (IDEE), and EU FP7 IP Project (Optique), totaling close to 6.4M Euro. As an originator and co-founder of Ontopic, the first spin-off of the Free University of Bozen-Bolzano, he has successfully translated research into commercial applications. He serves as Associate Editor of Artificial Intelligence (AIJ) and has participated in over 200 program committee roles for international conferences. As Director of the Smart Data Factory technology transfer lab and coordinator of the In2Data research group, Calvanese bridges academic research with industry applications, focusing on practical implementations of knowledge graph technologies. His work with the KRDB Research Center has established Bozen-Bolzano as a significant hub for knowledge representation and data management research in Europe.

• Operations Research
• Combinatorial Optimization
• Artificial Intelligence
• +3 more

Omar Rifki is an Associate Professor (Maître de Conférences) specializing in combinatorial optimization and artificial intelligence applications. His research bridges theoretical computer science with practical logistics challenges, focusing on routing problems, process mining, and machine learning integration for complex decision systems. His core research interests include phase transitions in NP-hard problems, vehicle routing optimization under time constraints, and healthcare process modeling. Rifki's work demonstrates a consistent pattern of integrating reinforcement learning with traditional optimization techniques to solve large-scale real-world problems in transportation and logistics, with particular emphasis on spatio-temporal data effects and collaborative systems. Analysis of his 15 publications (2019-2025) reveals three dominant research thrusts: (1) Fundamental studies of combinatorial problem hardness using phase transition frameworks, (2) Practical applications of deep reinforcement learning in vehicle routing and taxi assignment, and (3) Healthcare process optimization through advanced process mining techniques. His work consistently addresses scalability challenges in real-world implementations while maintaining theoretical rigor. No scientific awards were documented in the provided materials. His collaborative work with researchers like Christine Solnon and Thierry Garaix indicates active participation in European operations research communities, though specific grant details remain unreported. Rifki's research shows increasing integration of graph theory and machine learning in transportation applications, particularly evident in his Lyon City case studies on autonomous ride-sharing systems.

Istvan David McMasterView profile

Assistant Professor

• Digital Twins
• Model-Driven Engineering
• Sustainability
• +6 more

Istvan David is an Assistant Professor in the Department of Computing and Software at McMaster University , with research expertise spanning Digital Twins , Model-Driven Engineering , and Sustainability . His work bridges theoretical and applied domains, focusing on smart ecosystems , collaborative modeling , and AI-driven simulation . Key contributions include frameworks for digital twin evolution and interoperability in sustainable systems. Education : BSc, MSc, and PhD in Computer Engineering and Computer Science from Budapest University of Technology and Economics, and University of Antwerp. Research Areas : Digital Twins, Model-Driven Engineering, Reinforcement Learning, Smart Ecosystems, Sustainability, Collaborative Modeling, Cyber-Biophysical Systems, and Software Architecture. Recent Article Trends emphasize AI integration with digital twins, collaborative modeling in industrial contexts, and sustainable systems engineering . His work often combines machine learning with formal modeling to address challenges in technical sustainability and smart agriculture .

Tony IngessonView profile

Senior Lecturer

• Intelligence Analysis
• Counter-espionage
• Military Decision-Making
• +4 more

Tony Ingesson is a Senior Lecturer in the Department of Political Science at Lund University, specializing in intelligence analysis, counter-espionage, and military decision-making. With a background in the Swedish Armed Forces where he worked with technical data acquisition for airborne weapons systems and communications, he brings practical military experience to his academic work. His research interests span intelligence analysis methodologies, counterintelligence operations, deception and manipulation at tactical levels, clandestine communications, and industrial espionage. Ingesson has developed a particular expertise in how psychological mechanisms and biases influence intelligence analysis, as well as the historical connections between military conscription and democratization. His work bridges theoretical political science with practical security applications. Analysis of his recent publications reveals a strong focus on contemporary security challenges, particularly the intersection of traditional and emerging technologies in intelligence operations. His work examines how historical communication methods persist in modern conflicts, the evolving nature of espionage in high-trust societies like Sweden, and the application of intelligence analysis techniques to non-traditional fields such as precision oncology. Ingesson demonstrates consistent scholarly output across both academic journals and public-facing platforms like The Conversation, indicating his commitment to making complex security issues accessible to broader audiences. Ingesson actively participates in interdisciplinary research projects, including 'Clandestine Communications: Old Technologies, New Opportunities' and 'Greyzone genomics' at the Pufendorf IAS. His teaching portfolio encompasses political science methods, intelligence analysis techniques, counterterrorism, and deception studies, reflecting the breadth of his expertise. While specific details about student advising aren't provided in the available information, his role as Senior Lecturer indicates involvement in mentoring students through his teaching responsibilities. His research team involvement includes collaboration with researchers like Magnus Andersson on clandestine communications and David Gisselsson Nord on the intersection of genomics and security. These collaborations demonstrate his ability to bridge disciplinary boundaries while maintaining focus on core intelligence and security issues.

Tommer EnderView profile

Lecturer

• Model-Based Systems Engineering
• Multidisciplinary Design Optimization
• Trade Space Analytics
• +3 more

Tommer Ender is the Interim Director of the Georgia Tech Research Institute (GTRI) and Deputy Director for Research in the Electronics, Optics, and Systems Directorate (EOSD), where he oversees an 800-person unit with a $300 million research portfolio across three laboratories: Applied Systems Laboratory (ASL), Electro-Optical Systems Laboratory (EOSL), and Electronic Systems Laboratory (ELSYS). He also contributes to strategic leadership as a member of the GTRI Executive Council. Education: B.S., M.S., and Ph.D. in Aerospace Engineering from Georgia Tech Research Interests focus on collaborative, executable Model-Based Systems Engineering (MBSE) tools that leverage multidisciplinary design optimization and trade space analytics for complex systems. His work bridges systems engineering, technology transition, and advanced analytics. Professional Recognition: Senior Member of IEEE Certified Project Management Professional (PMP) Certified Systems Engineering Professional (CSEP) Academic Contributions: Ender has served as an instructor and course developer for Georgia Tech’s Professional Master’s in Applied Systems Engineering program and participated in M.S. and Ph.D. thesis committees at Georgia Tech and other universities.

Fred FeinbergView profile

Professor

• Discrete choice models
• Bayesian statistics
• Marketing analytics
• +7 more

Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.

• Business Process Management
• Process Mining
• Complex Event Processing
• +5 more

Prof. Dr. Matthias Weidlich is a faculty member at Humboldt University of Berlin within the Institute of Computer Science under the Faculty of Mathematics and Natural Sciences . His research focuses on Process Mining , Complex Event Processing , and Data Privacy with applications in Business Process Management and Scientific Workflows . Research Interests: Business Process Management and Process Mining Complex Event Processing and Stream Data Analysis Data Privacy and Security in Process Systems Scientific Workflow Systems and User Behavior Heterogeneous Network Embeddings Algorithm Design and Optimization Recent Publications (2023-2025) demonstrate expertise in: Efficient stream processing techniques Privacy-preserving process mining frameworks Scientific workflow analysis tools Graph neural network applications Multi-modal data integration Adaptive querying systems Contact: Office: Unter den Linden 6, 10099 Berlin Phone: 030 2093-41277 Email: matthias.weidlich@hu-berlin.de Web: hu.berlin/data

Gabriella LindbergView profile

Assistant Professor

• Biomaterials Engineering
• Tissue Engineering
• Biofabrication
• +5 more

Dr. Gabriella Lindberg is an Assistant Professor in the Department of Bioengineering at the University of Oregon's Knight Campus, leading the Lindberg Lab. Her research focuses on developing bioinks, hydrogels, and bioresins to engineer musculoskeletal tissues that replicate native biological environments. She holds a PhD from the University of Otago and previously served as a Research Fellow in the Christchurch Regenerative Medicine and Tissue Engineering (CReaTE) Group. Dr. Lindberg has secured significant grants, including a New Zealand Health Research Council Emerging Researcher Grant, and has won multiple awards such as the ISBF Young Investigator Award (2019) and CMDT/MedTech CoRE awards. Her work spans collaborative projects with institutions in New Zealand, Germany, Netherlands, and Australia. Current lab members include researchers like Vinni Thoms (Lab Manager) and Tim Wheeler (Postdoctoral Scholar). The lab is recruiting for postdoctoral and graduate positions in immunomodulation for osteoarthritis and bone marrow tissue engineering. Key research platforms include biofabrication, biomaterials, and organoid development. Dr. Lindberg’s research emphasizes clinical relevance, with projects addressing patient variability and disease progression modeling. Her team explores oxygen control in 3D-printed constructs and integrates inflammatory biology with biomaterials science. The lab’s long-term goals include advancing 3D bioassembly for musculoskeletal repair and hematological disease treatments. Notable contributions include work on vitreous humor as a biomaterial, automated 3D bioassembly, and the development of photoclickable gelatin bioinks. She has mentored numerous students, including PhD candidates Axel Norberg and Bram Soliman, and supervised master’s and undergraduate researchers in tissue engineering and biofabrication techniques.