Find Academic Supervisors

Leslie K. JohnView profile

Professor

• Behavioral Science
• Decision-Making
• Privacy
• +2 more

Leslie K. John is the James E. Burke Professor of Business Administration at Harvard Business School , where she conducts behavioral science research on decision-making, privacy, and health behaviors. Her work bridges psychology, marketing, and public policy. Harvard Business School Behavioral Scientist Consumer Psychology Health Policy Consultant Research Interests include: Privacy Decision-Making: Understanding motivations for personal data sharing with firms and employers. Health Behavior: Designing psychological interventions for weight loss and reduced sugary drink consumption. Marketplace Irrationality: Exploring cognitive biases in organizational and consumer contexts. Publication Trends show interdisciplinary work spanning behavioral economics, psychology, and health policy with repeated collaborations across institutions. Key themes include incentive design, disclosure mechanics, and cognitive bias exploitation. Scientific Awards : Wired Innovation Fellow Association for Psychological Science awards Marketing Science Institute recognition Professional Activities include corporate consulting (Goldman Sachs, J.P. Morgan, Commonwealth Bank), keynote speaking on behavioral economics, and teaching material development for Harvard Business School cases.

Xingye QiaoView profile

Professor

• Statistics
• Machine Learning
• Causal Inference
• +3 more

Xingye Qiao is a Professor and Chair in the Department of Mathematics and Statistics at Binghamton University, State University of New York . He serves as Chair of the Data Science Transdisciplinary Area of Excellence steering committee and has been affiliated with Binghamton since 2010. Education : Ph.D. in Statistics (2010), University of North Carolina at Chapel Hill M.S. in Statistics (2007), University of North Carolina at Chapel Hill B.S. in Mathematics and Applied Mathematics (2005), Fudan University His research focuses on Statistics, Machine Learning, and Causal Inference , with recent work exploring conformal prediction methods, treatment effect estimation, and set-valued classification techniques. His publications span journals like Transactions on Machine Learning Research , NeurIPS , and AAAI . His 15 most recent articles (2025-2020) demonstrate expertise in areas including: bandit feedback systems, treatment effect heterogeneity analysis, spectral clustering for neuroscience, and conformal prediction under distribution shifts. These works blend statistical theory with real-world applications in healthcare, ecology, and data science. He mentors Ph.D. students in mathematical sciences and has supervised research topics such as: machine learning in precision medicine, goodness-of-fit tests for spatial processes, and high-dimensional data analysis. Courses he teaches include Math 605: Theory of Machine Learning and Data 501: Predictive & Inferential Analytics .

Vladimir FilkovView profile

Professor

• Open Source Software Sustainability
• Artificial Intelligence in Health
• Empirical Software Engineering
• +7 more

Vladimir Filkov is a Professor in the Department of Computer Science at the University of California, Davis, College of Engineering. He leads two research labs: the DECAL Lab and the AI for Health Lab. He is actively engaged in research, teaching, and service, with a focus on open-source software sustainability, AI in healthcare, and data science. He has held leadership roles such as General Chair of ASE 2024 and inaugural Director of Translational Data Science at UCD DataLab. Professor, Department of Computer Science, UC Davis Director, DECAL Lab Director, AI for Health Lab General Chair, ASE 2024 Director of Translational Data Science, UCD DataLab (2020–2024) His research centers on the sustainability of open-source software, using socio-technical and governance data to forecast project success and evolution. He also investigates AI applications in health, particularly multimodal models for atrial fibrillation and NLP in medicine. His work bridges empirical software engineering, data science, and healthcare informatics, with strong community engagement through forums and podcasts. He has led major NSF, Google, and Sloan Foundation-funded projects on OSS sustainability and UC-wide OSPO initiatives. The recent publications highlight a strong trend in empirical software engineering, particularly around open-source governance, lifecycle analysis, and sustainability forecasting. There is also a growing emphasis on health-related AI, including multimodal models for cardiac conditions and natural language processing in clinical settings. The work combines data-driven modeling with real-world impact in both software ecosystems and healthcare. ACM Distinguished Member ACM SIGSOFT Distinguished Paper Award Vladimir Filkov has successfully secured competitive grants from the NSF (GCR, Phase I and II), Google, and the Sloan Foundation. He advises PhD students including Likang Yin, Raiyan Jahangir, and postdoc Stefan Stanciulescu. His mentoring spans topics in software engineering, AI, and computational biology. He has organized major research forums and collaborative initiatives across the UC system. He leads the DECAL Lab and the AI for Health Lab at UC Davis, fostering interdisciplinary research in software sustainability and healthcare AI. These labs support graduate students, postdocs, and collaborative projects with national and international partners.

Gabriele NataliziaView profile

Associate Professor

• International Relations
• Geopolitics
• Security Studies
• +11 more

Gabriele Natalizia is an Associate Professor in the Department of Political Science at Sapienza University of Rome, where he teaches International Security and Political Science. He is also a Non-Resident Senior Fellow at the Atlantic Council's Europe Center in Washington D.C. starting in 2025, and directs the research center Geopolitica.info. He is affiliated with the Doctoral Program in Political Studies and the Research Center 'Cooperation with Eurasia, the Mediterranean, and Sub-Saharan Africa (CEMAS)' at Sapienza. Additionally, he teaches at the Interforces Staff College (ISSMI) and collaborates with the Italian Parliament's International Policy Observatory and the Ministry of Foreign Affairs (MAECI). His research focuses on international relations, particularly great power competition, NATO strategy, Italian foreign policy, revisionist states, and geopolitical dynamics in the Mediterranean and Indo-Pacific. He contributes extensively to academic and policy debates on transatlantic relations, strategic autonomy, and the liberal international order. His recent publications analyze trends in Italian military deployments, NATO’s strategic evolution, US-Russia relations, and China’s revisionist behavior. The articles reflect a consistent focus on security strategy, power transitions, and regional competition, often from a realist theoretical perspective. Scientific Awards: Taiwan Fellowship Program 2025 Advising and Grants: While specific students are not listed, Natalizia supervises doctoral studies as a member of the PhD College in Political Studies. He leads the Geopolitica.info research center and collaborates with government institutions including MAECI and the Ministry of Defense. His Taiwan Fellowship indicates competitive international grant support. Labs and Teams: He is a core member of the Research Center CEMAS and leads the Geopolitica.info think tank. He also contributes to the Atlantic Council’s Europe Center and participates in high-level defense education at ISSMI.

Felix JonasView profile

Assistant Professor

• Biochemistry
• Gene Regulation
• Transcription Factors
• +4 more

Prof. Dr. Felix Jonas is an Assistant Professor of Biochemistry at the School of Science, Constructor University Bremen, Germany. He leads research on the biochemistry of gene regulation , focusing on molecular mechanisms governing transcription factor function and chromatin dynamics in Saccharomyces cerevisiae . His work integrates CRISPR-Cas9, Next-Generation Sequencing, and computational data analysis. Education: B.Sc. in Molecular Life Sciences (University of Luebeck), M.Sc. in Biology: Cell Biology (ETH Zurich), Ph.D. in Bioengineering (Imperial College London) Work Experience: Postdoc/Senior Postdoc at Weizmann Institute of Science (2017-22), Visiting Student at Weizmann Institute (2015-16), International Program Associate at RIKEN (2011) Teaching: General Biochemistry (CH-100-B), Introduction to Bioinformatics (JTMS-10), Current Topics in Life Sciences (CA-BCCB-801), Advanced Biochemistry II - Molecular Genetics (CO-403-A) His research explores transcription factor target search , histone dynamics , and chromatin structure-function relationships . Recent publications highlight discoveries in nucleosome replacement, protein disorder grammar, and histone acetylation impacts on replication. Articles emphasize interdisciplinary approaches to eukaryotic gene regulation and systems biology. Visit his lab’s PhD recruitment page or watch his Fragile Nucleosome Talk for deeper insights into his work.

Francis de VéricourtView profile

Professor

• Decision Science
• Analytics
• Operations Research
• +8 more

Francis de Véricourt is Professor of Management Science and the founding Academic Director of the Institute for Deep Tech Innovation (DEEP) at ESMT Berlin, where he also holds the Joachim Faber Chair in Business and Technology. He has held faculty positions at Duke University and INSEAD and was a post-doctoral researcher at MIT, reflecting a global academic footprint across France, the USA, Germany, and Singapore. His educational background includes a PhD from Université Paris VI and an engineering degree from ENSIMAG (Grenoble Institute of Technology), establishing a strong foundation in applied mathematics and computer science. Francis's research focuses on decision science, analytics, and operations, with impactful applications in healthcare, sustainability, and human-AI interaction. He investigates how mental models—'framing'—enable individuals and organizations to transcend data and generate better alternatives for decision-making. His work emphasizes cognitive agility, translational innovation, and the role of human intuition in the age of artificial intelligence. The analysis of his recent publications reveals a consistent trajectory in understanding cognitive frameworks in decision-making, the integration of AI in human contexts, and the ethical and strategic dimensions of deep-tech innovation. His writings bridge academic rigor with practical insight, targeting both scholarly and industry audiences. ENRE Best Publication Award, INFORMS MSOM Best Publication Award, INFORMS He has been a Department Editor for Operations Research and MSOM , and his academic leadership includes establishing the Center for Decisions, Models, and Data at ESMT. He has received multiple teaching awards for his work with MBA and Executive MBA students and is deeply engaged in executive education and corporate learning solutions. His book Framers , published by Penguin Random House and listed among the Financial Times' Best Books, has amplified his influence in both academic and public spheres. Francis leads DEEP—the Institute for Deep Tech Innovation—which fosters research, education, and entrepreneurial action in areas like AI, quantum computing, and biotechnology. The DMD Center, now integrated into DEEP, explores how modeling and representation enhance decision-making beyond data. These initiatives reflect his commitment to cultivating cognitive and entrepreneurial capabilities within scientific and business communities.

• Human-Computer Interaction (HCI)
• Virtual Reality (VR)
• Augmented Reality (AR)
• +7 more

Dr. George Fitzmaurice is a Research Fellow at Autodesk, leading the Human Computer Interaction and Visualization Research group. With over 120 publications and 95 patents, his work spans 25 years of innovation in interactive systems, focusing on technology-assisted learning , 3D visualization , and novel input techniques . His notable contributions include the Maya 1.0 UI and SketchBook Pro design, as well as pioneering Graspable UIs and Spatially-Aware Displays . Education : MIT (B.Sc. Math/CS), Brown (M.Sc. CS), Toronto (Ph.D. CS) His research explores immersive visualization and generative AI applications in design workflows, with recent work focusing on VR/AR tools like TimeTunnel for motion editing and WhatIF for AI-assisted narrative design. Current projects examine the intersection of large language models , 3D design systems , and collaborative environments . Key article themes include: Generative AI integration (3DALL-E, WorldSmith) Immersive motion analysis (AvatAR, VideoPoseVR) Creative workflow optimization (MoodCubes, Immersive Sampling) Privacy-aware VR systems (Vice VRsa) Scientific Recognition: 2019 - Inducted into ACM CHI Academy 2024 - Awarded ACM Fellow for computing contributions He has developed foundational interaction techniques like ViewCube™ and SteeringWheels™ , and his work continues to shape modern 3D UI paradigms and spatial computing approaches through projects like DreamSketch and Tesseract.

Wei SongView profile

Professor

• Mobile Social Networks
• Internet of Things
• Vehicular Networks
• +10 more

Dr. Wei Song is a Professor and the Coordinator of Software Engineering at the Faculty of Computer Science, University of New Brunswick (UNB) in Fredericton, New Brunswick, Canada. She has been with UNB since 2009, after completing her postdoctoral studies at UC Berkeley, and has established herself as a leading researcher in mobile networking and wireless communications. Her office is located in room ID419 and she can be reached at wsong@unb.ca. Education Ph.D. in Electrical and Computer Engineering, University of Waterloo (2003-2007) Postdoctoral Fellow, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley (2008-2009) Research Focus Dr. Song's research spans multiple cutting-edge areas in mobile and wireless networking, with a strong emphasis on integrating artificial intelligence and machine learning techniques. Her work addresses fundamental problems in mobile social networks, Internet of Things, vehicular networks, and mobile cloud computing. She explores how cooperative intelligence and distributed AI can enhance network performance while addressing practical constraints such as energy efficiency and user incentives. Her recent work particularly focuses on intelligent edge computing, mobile crowdsensing with deep reinforcement learning, and social-aware data dissemination through device-to-device communications. She investigates how to turn decentralized mobile "crowds" into coherent working groups and how social connections can be leveraged to improve data dissemination efficiency. Publication Trends Dr. Song's recent publications (2016-2023) demonstrate a clear evolution from traditional wireless networking to AI-driven approaches. While her earlier work focused on fundamental problems in device-to-device communications and resource allocation, her recent publications increasingly incorporate deep reinforcement learning, graph neural networks, and other AI techniques to solve complex optimization problems in mobile crowdsensing and edge computing. This shift reflects broader trends in the field toward intelligent, adaptive networking solutions. Scientific Recognition Best Paper Award from IEEE ICC (2018) UNB Merit Award (2014) Best Student Paper Award from IEEE CCNC (2013) Top 10% Award from IEEE MMSP (2009) NSERC postdoctoral fellowship (2008) Best Paper Award from IEEE WCNC (2007) Professional Service and Mentoring Dr. Song serves as Senior Member of IEEE and has held significant leadership roles, including Chair of the Joint Computer and Communications Chapter of IEEE New Brunswick Section (2014-2020). She has chaired symposia at major conferences including IEEE VTC Fall 2023, 2017, and 2016. As a supervisor, she mentors graduate students in areas including intelligent edge computing and deep learning for networking, and is currently recruiting students for Winter 2024 and Fall 2025.

• posttraumatic stress disorder
• prolonged grief disorder
• global mental health
• +5 more

Scientia Professor Richard Bryant is a leading researcher in trauma psychology at the University of New South Wales, where he serves in the School of Psychology. With over three decades of research experience, he has established himself as a world authority on posttraumatic stress disorder (PTSD), prolonged grief disorder, and trauma-related mental health conditions. Professor Bryant received his B.A. (Hons.) from the University of Sydney in 1983, followed by his M.Clin. Psych. and Ph.D. from Macquarie University in 1986 and 1989 respectively. He was awarded a D.Sc. from UNSW in 2016, recognizing his substantial contributions to the field. His clinical training and academic background have positioned him at the forefront of trauma research and treatment development. Dr. Bryant's research primarily focuses on posttraumatic stress disorder, prolonged grief disorder, global mental health initiatives, cognitive behavior therapy applications, and clinical trials methodology. His work spans diverse populations including trauma survivors, refugees, first responders, and individuals affected by disasters. He has pioneered early intervention approaches following traumatic events and developed innovative treatments for persistent trauma reactions across various cultural contexts. An analysis of his recent publications reveals a strong emphasis on global mental health applications, particularly in conflict zones and with displaced populations. His research increasingly incorporates digital health solutions, examines cultural variations in trauma response, and investigates novel treatment approaches including memory specificity training and integration of technology in therapy delivery. His work consistently bridges clinical practice with research evidence to improve mental health outcomes worldwide. Professor Bryant maintains an active research program with numerous ongoing clinical trials and international collaborations. His work has significantly influenced clinical guidelines for trauma treatment globally, particularly through his contributions to World Health Organization interventions and evidence-based practice recommendations. Based at the University of New South Wales in Sydney, Professor Bryant continues to mentor emerging researchers while maintaining a robust publication record that demonstrates both depth and breadth across trauma psychology domains. His Mathews Building office serves as the hub for a productive research team investigating critical questions in trauma response and recovery.

Brett AbarbanelView profile

Associate Professor

• Gambling
• Esports
• Video Games
• +5 more

Brett Abarbanel serves as Associate Professor and Executive Director of the International Gaming Institute at the University of Nevada, Las Vegas (UNLV), within the William F. Harrah College of Hotel Administration. She maintains a research affiliate appointment at the University of Sydney School of Psychology’s Gambling Treatment and Research Clinic, demonstrating transnational academic engagement. Her educational foundation includes dual bachelor's degrees in Statistics and Architectural Studies from Brown University, where she received the Hartshorn Hypatia Award for mathematical excellence. She earned her MS and PhD at UNLV, receiving Best Thesis and Best Dissertation awards for research on sports book patronage and online gambling user experiences respectively. Dr. Abarbanel's research program critically examines gambling's intersection with esports, video games, and traditional sports through multiple lenses: technological (gaming operations infrastructure), sociocultural (community relations and spectatorship), and historical (evolution of gambling practices). Her work uniquely bridges academic rigor with industry applicability, particularly in developing evidence-based responsible gambling frameworks for emerging digital gambling environments. Analysis of her recent publications reveals three dominant trajectories: (1) esports-gambling convergence integrity, (2) data-driven responsible gambling interventions using transaction analytics, and (3) historical/media studies of gambling culture. These span gambling studies, behavioral psychology, data science, and media theory, with increasing emphasis on real-world implementation of research findings. Her distinguished recognition includes: 2015 Emerging Leader Award (The Innovation Group) 2016 Global Gaming Business 40 Under 40 Hartshorn Hypatia Award for mathematical excellence UNLV Best Thesis and Dissertation awards Dr. Abarbanel actively shapes industry standards through editorial leadership as Executive Editor of the UNLV Gaming Research & Review Journal and board membership at International Gambling Studies. Her policy impact is evidenced by service on Singapore's National Council on Problem Gambling International Advisory Panel and co-founding the Nevada Esports Alliance. As a charter member of Nevada's Esports Technical Advisory Committee, she directly influences regulatory frameworks for esports betting integrity. She directs UNLV's International Gaming Institute while co-leading the Nevada Esports Alliance, establishing dual institutional pathways for translating research into industry best practices. Her committee work with the Nevada Gaming Control Board creates formal mechanisms for academic input into regulatory decision-making, particularly regarding esports betting integrity standards.

• Cybersecurity
• Privacy
• Industrial Networks
• +7 more

Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.

Yang ZhishuView profile

Professor

• Financial Market Microstructure
• Behavioral Finance
• Banks and Financial Institutions
• +3 more

Prof. Zhishu Yang is a full-time faculty member at the School of Economics and Management, Tsinghua University, serving as Professor of Finance since 2009. He holds a Ph.D. in Economics from Tsinghua University (1997-2001) and a Bachelor of Engineering from Harbin Institute of Technology (1984-1988). Specializes in Financial Market Microstructure, Behavioral Finance, and Banks and Financial Institutions Has taught courses including Financial Market Microstructure, Securities Analysis, and Investment Maintains active collaborations with international institutions like MIT Sloan and HKUST His research explores Chinese financial markets, government regulation effects, investor behavior, and policy impacts. Publications include studies in Management Science , Journal of Finance , and Review of Financial Studies . Recent master's students have been admitted to top global PhD programs including Harvard, Stanford, and Yale. Contact: Room B312, Lihua Building | yangzhsh@sem.tsinghua.edu.cn

Marshall Van AlstyneView profile

Professor

• Platform Economics
• Information Economics
• Network Business Models
• +7 more

Marshall Van Alstyne is the Allen & Kelli Questrom Professor in Information Systems at Boston University's Questrom School of Business. A leading expert on platform economics, co-author of the bestseller Platform Revolution , and recipient of Thinkers 50 recognition, his work shapes global understanding of network business models and digital governance. PhD in Computer Science & Information Systems from MIT (1997) MS in Computer Science & Information Systems from MIT (1991) BA in Computer Science from Yale University (1984) His research focuses on information economics , platform dynamics, and digital governance. Key contributions include theories of two-sided networks and platforms as inverted firms, with applications in antitrust law and digital market regulation. Recent work explores truth warrants to combat misinformation, platform regulation, and agentic AI governance. Articles appear in Science , Nature , Harvard Business Review , and Management Science , with over 27,000 citations. INFORMS IS 2020 Award Herbert Simon 2021 Award NSF SaTC, IOC, SGER, SBIR, and Career Awards Multiple best paper awards Actively involved in platform strategy education and policy discussions, he consults on digital markets and speaks at major conferences including Academy of Management and IC2S2. His personal interests include dogs, exercise, travel, and governance questions.

Julia OswaldView profile

Professor

• Hospital Finance
• Healthcare Management
• Business Administration
• +3 more

Prof. Dr. Julia Oswald is a Professor of Business Administration with a focus on Hospital Finance and Management at the Faculty of Economics and Social Sciences , Osnabrück University of Applied Sciences. Her work bridges academic theory with practical applications in healthcare governance, organizational culture, and financial systems. University: Osnabrück University of Applied Sciences Department: Faculty of Economics and Social Sciences Email: j.oswald@hs-osnabrueck.de Research Interests: She specializes in hospital financial systems, healthcare organizational culture, and strategic management frameworks. Her recent projects explore ecological sustainability in hospitals and the integration of nursing staff into leadership structures. Scientific Contributions: Her publications and lectures analyze the intersection of economics, policy, and operational efficiency in healthcare. Key themes include profit-center models, decentralized management, and nursing workforce dynamics. Committee Work: She serves as an external reviewer for academic appointments and accreditation processes, including roles at Hochschule Hannover, Hochschule Fulda, and the Virtual University of Bavaria. Her leadership extends to alumni networks and editorial boards like the Krankenhaus-Report .

Ronald GleichView profile

Professor

• Industrial Management
• Innovation Management
• Controlling Systems
• +4 more

Prof. Dr. Ronald Gleich is an active Professor and Chair, Head of Institute at EBS University of Business and Law, specifically within the EBS Business School's Department of Organization, Strategy & Leadership. He leads the DEKRA Institute for Industrial Service Management and has been a prominent figure in industrial management research since the early 1990s. Born in 1962, he maintains an active research and publication profile focusing on controlling systems and innovation management across various industries. Professor Gleich's research primarily centers on Industrial Management with specialized focus on Controlling Systems, Innovation Management (particularly in Service, Machinery and Automotive Industries), and Performance Measurement including Balanced Scorecard methodologies. His work bridges theoretical frameworks with practical applications, developing measurement systems that organizations can implement to improve performance. He has significantly contributed to the understanding of innovation networks in the automotive sector and developed approaches to performance measurement that integrate both financial and non-financial indicators across diverse business contexts. His extensive publication record reveals consistent research themes focused on performance management systems, innovation processes in industrial settings, and advanced controlling methodologies. Gleich's work shows a clear evolution from traditional controlling approaches toward more dynamic, integrated systems that respond to changing business environments. His research particularly emphasizes practical applications in the automotive, machinery, and service industries, with numerous empirical studies validating his theoretical frameworks. Nomination for the AWF-PhD-Award (Committee for Economical Manufacturing, 1996) Founder and scientific mentor of the annual Best Paper Award Innovation Management (since 2006) Professor Gleich has held significant editorial responsibilities throughout his career, including serving as editor of the journal "Performance Excellence – Journal for Controlling and Innovation Management ZfCI" from 2006 and editor of the "Controlling Consultant" journal from 2007. He has also contributed to numerous research projects and publications, often collaborating with industry partners to translate academic research into practical business applications. His work with the DEKRA Institute demonstrates strong industry-academia collaboration. As Head of the DEKRA Institute for Industrial Service Management, Professor Gleich leads research initiatives focusing on innovation and performance measurement in industrial service contexts. His institute serves as a bridge between academic research and practical business applications, particularly in the automotive and machinery sectors where Germany maintains global leadership.