Find Academic Supervisors

• Hebrew Bible
• Old Testament Studies
• Pentateuch
• +7 more

James W. Watts is a Professor of Hebrew Bible and ancient Near Eastern textual traditions in the Department of Religion at Syracuse University's College of Arts and Sciences. He has been at Syracuse since 1999, serving as Chair of the Department of Religion from 2009-2015 and as William P. Tolley Professor in the Humanities from 2011-2013. Watts also served as Visiting Research Fellow at the Käte Hamburger Kolleg, Ruhr Universität Bochum from 2015-2016. His educational background includes: Ph.D. in Hebrew Bible/Old Testament from Yale University (1990) M.Div. and Th.M. in New Testament from Southern Seminary (1985-1986) B.A. in Philosophy from Pomona College (1982) Watts specializes in the literature and religion of the Hebrew Bible, particularly the Pentateuch, sacrifice, law, and narrative genres. His research explores ancient Near Eastern religious rhetoric, ritual theory, comparative scriptures, and iconic books. His work bridges textual analysis with ritual studies, examining how sacred texts function as physical objects within religious communities and how they acquire iconic status across cultures. His recent publications reveal a growing focus on the materiality of scripture, ritual performance, and the social power of sacred texts. Watts has increasingly examined how biblical texts, particularly Leviticus, have been used to construct social boundaries related to race, diet, and purity. His work connects ancient textual traditions with contemporary issues of social justice, censorship, and religious authority in digital contexts. Among his notable achievements: William P. Tolley Professor in the Humanities (2011-2013) Secretary-Treasurer of The Society for Comparative Research on Iconic and Performative Texts (2010-present) Editor of the Equinox book series, Comparative Research on Iconic and Performative Texts (2017-present) Chair of the Pentateuch Section of the Society of Biblical Literature (1998-2003) Watts has directed graduate studies in the Department of Religion (2006-2009, 2023-2025) and undergraduate studies (2000-2004). He has supervised numerous student research projects on iconic books, biblical ritual texts, normative texts, and scripturalization. His academic leadership extends to the Renée Crown Honors Program and the SU Humanities Council. Watts leads the Iconic Books Project, which analyzes the functions of scriptures in cross-cultural and trans-historical perspectives. This project has developed into the Society for Comparative Research on Iconic and Performative Texts (SCRIPT), of which he serves as Secretary-Treasure. His work continues to explore the relationship between textual practices, ritual performance, and the social power of sacred texts.

Guillermo GallegoView profile

Professor

• Robotics
• Computer Vision
• Event-based Vision
• +5 more

Guillermo Gallego is a Professor of Robotic Interactive Perception at the Faculty of Electrical Engineering and Computer Science , Technische Universität Berlin , holding the Einstein Center Digital Future (ECDF) Professorship since 2019. His research bridges robotics , computer vision , and applied mathematics , focusing on optimization methods for interdisciplinary imaging and control problems. Education : PhD in Electrical and Computer Engineering (Georgia Tech, 2011), MS in Mathematics (Georgia Tech, 2009), MS in Electrical Engineering (Georgia Tech, 2007), MS in Mathematical Engineering (Universidad Complutense de Madrid, 2005). Gallego's work explores event-based vision to enhance robot perception through low-latency sensing and real-time 3D reconstruction . He previously held postdoctoral positions at the Institute of Neuroinformatics (University of Zurich/ETH Zurich) and Technical University of Madrid (Marie Curie Experienced Researcher). His interdisciplinary projects span applications in ocean remote sensing , autonomous driving , and space exploration . Key scientific awards include the Fulbright Fellowship (2005-2010) and Marie Curie Experienced Researcher (2011-2014). His recent publications focus on event camera algorithms for optical flow , SLAM , and noise estimation , reflecting his leadership in event-based vision research. Collaborations include institutions like University of Zurich , Georgia Tech , and University of Pennsylvania . Research Grants : Funded through ECDF and Marie Curie programs. Labs : Affiliated with the Einstein Center Digital Future and Institute of Neuroinformatics (Zurich/ETH Zurich).

• International Business
• Strategic Management
• Organizational Transformation
• +4 more

Jörg Büechl serves as Professor of Strategy and International Management at ESB Business School, Reutlingen University, where he holds dual appointments as Study Dean for the M.Sc. Business Psychology & Business Transformation program (Graduate School Ostwürttemberg) and for B.A./M.A. Business Studies targeting Small and Medium-sized Enterprises. His academic leadership extends from prior roles including Adjunct Professor of International Business at Tübingen University and Professor of Human Resource Management at Aalen University, alongside industry experience at Daimler Mobility and Robert Bosch. Research centers on cross-cultural organizational dynamics , particularly China-Germany business relations, with seminal work on intercultural trust development between Chinese subordinates and German supervisors. Key thematic pillars include agile transformation in SMEs (examining digitization barriers during crises like COVID-19), family business leadership (analyzing succession through family dynamics), and remote work impacts through Eastern-Western cultural lenses. His methodology emphasizes empirical validation of theoretical models in real-world multinational settings. Publication trends (2021-2025) reveal escalating focus on AI integration in HR processes (2025), China-Africa business ecosystems (2024), and pandemic-driven organizational agility (2022-2024). Over 70% of recent work connects digital transformation with human factors—employee satisfaction, trust mechanisms, and leadership adaptation—demonstrating consistent interdisciplinary bridging of technical and behavioral domains. As Study Dean, Büechl directs academic programming for business transformation curricula while leveraging his China Centrum Tübingen affiliation (where he headed the Competence Cluster for Chinese Business Culture) to infuse global perspectives into German business education. His industry background in post-merger integration and Asian market consulting directly informs applied research on SME competitiveness during disruptive change.

Inken BartelsView profile

Researcher

• Migration and Border Regimes
• Knowledge Production
• International Organizations
• +6 more

Dr. Inken Bartels is a post-doctoral researcher at the Institute for Migration Research and Intercultural Studies (IMIS) at the University of Osnabrück, Germany. Since 2019, she has specialized in the politics of statistical knowledge production about migration and its impact on governance in West Africa. Her academic journey includes a PhD in Sociology from Humboldt University of Berlin (2018), a diploma in political science from Freie Universität Berlin and Université de Provence Aix-Marseille I, and visiting research at the European University Institute in Florence (2013-2014). Research Interests Migration and Border Regimes Knowledge Production on Migration International Organizations (especially IOM) Return Migration North and West Africa Practice Theories Science and Technology Studies Qualitative Methods Her recent book The International Organization for Migration in North Africa (Routledge 2022) analyzes IOM's role in shaping migration governance through information campaigns, voluntary return programs, and anti-trafficking initiatives. Her publications span topics like EU-IOM cooperation, contested migration terminology, and the moral economies of migration research. She has taught courses at the University of Hamburg, University of Osnabrück, Humboldt University, and Kiel University on subjects including Bourdieusian theory, migration policy, and border studies.

• Combinatorial Optimization
• Integer Programming
• Quadratic Programming
• +4 more

Cédric Soutil is a Researcher at the Conservatoire National des Arts et Métiers (CNAM) , affiliated with the CEDRIC Laboratory. His work spans combinatorial optimization , integer programming , quadratic programming , and algorithm design , with a focus on solving complex optimization problems in scheduling and graph theory. Recent publications highlight his expertise in non-separable and non-convex quadratic integer programming , knapsack problems , and online computation . His research trends emphasize mathematical reformulations , upper bound algorithms , and optimization models for real-world applications like horse race scheduling and hydrogen production . He has collaborated extensively with researchers such as A. Houdayer , D. Quadri , and P. Tolla , contributing to over two decades of academic output in operations research and combinatorial optimization .

• Case-Based Reasoning (CBR)
• Artificial Intelligence
• Multi-Agent Systems
• +4 more

Dr. Pascal Reuss is a Researcher at the Intelligent Information Systems (IIS) Division within the Institute of Computer Science , University of Hildesheim . His work focuses on Case-Based Reasoning (CBR) systems, Multi-Agent Systems , and Knowledge Management applications. Active in CBR framework development and game-based AI research Teaching Computer Science III (Databases) for winter 2025/26 Participating in university sustainability initiatives like Stadtradeln 2024/25 Reuss contributes to AI education through practical implementations in gaming environments and has developed visualization tools for CBR agent behavior. His research spans multi-agent collaboration , dynamic case bases , and domain-specific language implementations for knowledge maintenance. Notable contributions include: Co-developing the FEATURE-TAK framework for knowledge extraction Designing case factories for distributed CBR systems Implementing finite state machines for tactical game agents Creating CBR-based fitness planning systems His work appears in various CBR and Game Development publications from 2011-2024. The research demonstrates practical applications of CBR in aircraft maintenance diagnostics , training plan generation , and educational technology contexts.

Leif KobbeltView profile

Professor

• Computer Graphics
• Geometry Processing
• Interactive Visualization
• +3 more

Leif Kobbelt serves as a University Professor at RWTH Aachen University, leading the Computer Graphics Group within the Department of Computer Science (Informatik 8). His research focuses on advancing geometry processing, interactive visualization, and computer graphics through innovative algorithmic solutions and interdisciplinary collaborations. Professor Kobbelt's research program centers on geometry acquisition and processing, with significant contributions to mesh generation, surface reconstruction, and neural rendering techniques. His work bridges theoretical geometry with practical applications in computer vision, photo-realistic image synthesis, and multimedia data transmission, often involving collaborations with industry partners and international research teams funded by DFG and EU sources. Recent publications (2023-2025) reveal a strategic integration of deep learning with traditional geometry processing, particularly in Gaussian splatting for real-time rendering, NeRF-based 4D content generation, and robust mesh Boolean operations. His group maintains leadership in quad mesh optimization and surface mapping while expanding into immersive visualization techniques for complex data analysis. The group has earned recognition through prestigious awards: Günter Enderle Best Paper Award at Eurographics 2023 Best Paper Award (1st place) at Symposium on Geometry Processing 2022 Honorable Mention for Best Paper at ACM Symposium on Virtual Reality Software and Technology Funding from Deutsche Forschungsgemeinschaft and European Union programs supports the group's research infrastructure and international collaborations. The team actively supervises graduate theses while developing open-source software tools that translate theoretical advances into practical industry applications, particularly in digital fabrication and immersive visualization systems. The Computer Graphics Group operates as a central hub for visual computing research at RWTH Aachen, maintaining strong ties with both academic institutions and technology companies. Their recent work on virtual reality educational tools and high-fidelity 3D reconstruction systems demonstrates commitment to knowledge transfer and real-world impact beyond traditional publication venues.

Dominique UnruhView profile

Professor

• Quantum Computing
• Quantum Cryptography
• Post-Quantum Cryptography
• +5 more

Dominique Unruh is a Professor at RWTH Aachen University , leading the Chair for Quantum Information Systems . Additionally, they hold a Professorship in Cryptography at the Institute of Computer Science of the University of Tartu , Estonia. Their research spans quantum computing , quantum cryptography , post-quantum cryptography , and formal verification of cryptographic protocols and programs. Research Focus : Quantum programs, zero-knowledge proofs, lattice-based cryptography, and quantum random oracle model. Key Contributions : Advancements in NTRU encryption efficiency, quantum Hoare logic, and rewinding techniques for security proofs. Tools : Active development in the EasyCrypt framework for cryptographic verification. Email : unruh@cs.rwth-aachen.de

• Banking Management
• Risk Management
• Capital Markets
• +7 more

Prof. Dr. Thomas Heidorn is Professor of Banking Management at the Frankfurt School of Finance & Management, where he has served since the institution's foundation in 1991. He directs the Centre for Practical Quantitative Finance and teaches Financial Mathematics, Risk Management, Derivatives, and Treasury courses across Bachelor's and Master's programs. His academic journey includes: High School Diploma (Bloomfield Hills, Michigan, 1977) Abitur (Hannover, 1979) Pre-degree in Economics (University of Hannover, 1981) MA in Economics (University of Santa Barbara, 1983, Fulbright scholarship) Doctoral degree (Christian-Albrechts-University Kiel, 1986) Professor Heidorn's research centers on practical quantitative finance , with expertise in Investment Banking, Risk Management, Capital Markets, and Derivatives. His work spans Hedge Funds, Commodity Investments, ESG Integration, and Corporate Treasury strategies, emphasizing regulatory impacts like Basel III/IV and LIBOR transition. He bridges academic rigor with industry applications through extensive consulting for corporations and public institutions. His publication trends reveal consistent focus on evolving financial landscapes: recent works analyze post-LIBOR derivatives markets, ESG's impact on volatility, corporate hedging frameworks, and Basel regulation mechanics. This reflects his commitment to solving real-world banking challenges through quantitative methodologies. He actively shapes industry standards as: Board member of Reuters Innovation Award Head of Academic Advisory Board for Portfolio Institutionell Award Editor of Knapps Enzyklopädisches Lexikon Leader of DVFA's Expert Group 3 on Structured Product Ratings Professor Heidorn co-manages professional certification programs including the Certified Corporate Treasurer (with VDT) and HVB/Frankfurt School's Junior Exam Markets training. His office hours are Wednesdays 4-5 PM by appointment (Room 3.08).

Friedrich LonginView profile

Adjunct Professor

• Plant Breeding
• Wheat Genetics
• Alternative Wheat Varieties
• +5 more

Dr. Friedrich Longin is an Adjunct Professor and Group Leader of the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, Germany. He leads research on wheat breeding, alternative wheat varieties, and increasing biodiversity in wheat cultivation. University of Hohenheim: Habilitation in Plant Breeding (2016), Adjunct Professor (2019) University of Hohenheim and China Agricultural University in Beijing: Doctorate in a German-Chinese graduate program University of Hohenheim: Studied agricultural biology, specializing in biotechnology and plant breeding Dr. Longin's research focuses on breeding alternative wheat varieties, pre-breeding in wheat, processing and nutritional quality of wheat varieties, nutrient use efficiency in wheat species, and increasing biodiversity and sustainability in wheat cultivation. His breeding research into alternative crops has led to the resurgence of traditional varieties such as spelt, emmer, and einkorn. His work bridges fundamental plant breeding science with practical applications for sustainable agriculture and food systems. He has made significant contributions to understanding the genetic basis of wheat quality traits, disease resistance, and nutritional properties. His recent publications demonstrate a strong focus on genomics-based approaches to wheat improvement, with particular attention to grain quality, nutritional properties, disease resistance, and the relationship between wheat varieties and human health. There is a clear trend toward integrating molecular breeding techniques with traditional approaches, and an increasing emphasis on understanding the health implications of wheat consumption, particularly regarding inflammatory responses and food sensitivities. Active participant in numerous national and international research projects related to wheat breeding and genetic resources Regularly invited to speak at national and international conferences on wheat breeding and sustainable agriculture Volunteers on several professional committees related to plant breeding and agricultural research Dr. Longin heads the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, which focuses on developing improved wheat varieties with enhanced nutritional quality, disease resistance, and environmental adaptability. His team works closely with farmers, millers, and bakers to ensure that new varieties meet the needs of the entire production chain from farm to fork.

Hilary MartinView profile

Researcher

• Medical Genomics
• Population Genetics
• Genetic Architecture of Diseases
• +6 more

Dr. Hilary Martin is a Group Leader in Human Genetics at the Wellcome Sanger Institute and a College Research Associate at St John's College, Cambridge. Her research focuses on medical and population genomics, analyzing high-throughput sequence and genotype data from large cohorts to address various medical and population genetic questions. She leads the Martin Group which studies the genetic architecture of rare and common disorders in diverse populations, with particular emphasis on populations with high levels of parental relatedness. BSc (Human Genetics) from the University of Queensland, Australia PhD from the Wellcome Trust Centre for Human Genetics in Oxford Postdoctoral research at Sanger Institute with Jeff Barrett Group Leader at Sanger Institute since September 2018 Dr. Martin's research program spans several key areas in human genetics. Her group analyzes large-scale genetic and electronic health record data to explore fine-scale population structure, its impact on disease risk, and the genetic architecture of both rare and complex diseases. A particular focus is on populations with high levels of parental relatedness (consanguinity), where her team investigates how autozygosity affects disease risk across the phenotypic spectrum. Her work on developmental disorders examines the role of rare recessive variants and polygenic risk, while her research with South Asian populations explores the genetic basis of cardiometabolic diseases. Analyzing her recent publications reveals a strong trend toward multi-ancestry studies, particularly focusing on British Pakistani and Bangladeshi populations through the Genes & Health project. Her research increasingly integrates rare variant analysis with polygenic risk scores to understand the full genetic architecture of complex traits. There's also a growing emphasis on understanding how population structure, consanguinity, and founder effects influence disease risk across diverse populations. Her work bridges fundamental population genetics with clinical applications, particularly in neurodevelopmental disorders and cardiometabolic diseases. Extensive publication record in top journals including Nature, Cell, and Nature Genetics Leadership in major collaborative projects like Deciphering Developmental Disorders (DDD) Key contributions to understanding the role of consanguinity in disease architecture Development of methods for analyzing recessive variants in diverse populations Dr. Martin leads a dynamic research group comprising PhD students, postdoctoral fellows, and staff scientists. Her group works closely with multiple large-scale studies including the Avon Longitudinal Study of Parents and Children (ALSPAC), Millennium Cohort Study, Born in Bradford, Deciphering Developmental Disorders study, Genomics England, and Genes & Health. She maintains strong collaborations with clinical and research teams across the UK and internationally, particularly with groups studying South Asian populations. Her research has secured significant funding through institutional support and collaborative grants that enable large-scale genomic analyses. The Martin Group operates within the Human Genetics Programme at the Wellcome Sanger Institute, maintaining close ties with the Hurles Group and other related teams. They collaborate extensively with the East London Genes and Health project, which is one of the world's largest community-based genetics studies focusing on people of Pakistani and Bangladeshi heritage. The group maintains strict data security and confidentiality procedures while working closely with the communities they study through community engagement and dissemination of scientific findings.

Steffen BondorfView profile

Professor

• Network Calculus
• Deterministic Networking
• Performance Modeling
• +4 more

Steffen Bondorf is a Professor of Distributed and Networked Systems in the Faculty of Computer Science at Ruhr University Bochum, Germany. His research focuses on performance modeling and analysis of deterministic networking, particularly using network calculus to provide rigorous performance guarantees for networked systems. Dr. Bondorf received his B.Sc., M.Sc., and Dr.-Ing. (Ph.D.) in Computer Science from TU Kaiserslautern (TUK), where he was part of the distributed computer systems lab. He was the first student to enroll in a B.Sc. program at TUK before finishing secondary education. After graduation, he held positions as postdoctoral researcher, lecturer and Carl-Zeiss Fellow at TUK, research fellow at the National University of Singapore, and visiting researcher at the University of Toronto. From fall 2018 to fall 2019, he was funded by an ERCIM Alain-Bensoussan fellowship at NTNU Trondheim, Norway, and spent time at INRIA Paris. His research interests include network calculus, deterministic networking, performance modeling, computer networks, distributed systems, and P2P overlays. Dr. Bondorf's work has significantly advanced the field of network calculus, particularly in developing methods for analyzing FIFO feedforward networks, multicast flows, and P2P overlay structures. His recent research has integrated machine learning techniques with network calculus to improve analysis accuracy and efficiency, creating hybrid approaches that leverage the strengths of both methodologies. Dr. Bondorf was appointed as assistant professor at Ruhr University Bochum on October 1, 2019, becoming the university's first hire in the joint tenure-track program for the promotion of young scientists. Since December 1, 2021, he has been a tenured full professor at RUB. Carl-Zeiss Fellow ERCIM Alain-Bensoussan fellowship At RUB, Dr. Bondorf teaches Advanced Topics in Networking, Distributed Systems, Deterministic Network Calculus, and Seminar Distributed and Networked Systems. His research group develops tools and methodologies for deterministic network analysis with applications in industrial networking, real-time systems, and time-sensitive communications. His work bridges theoretical networking principles with practical implementations, contributing to the advancement of deterministic networking standards and protocols.

• Process Management
• Business Process Optimization
• Agile Methodologies
• +3 more

Professor Matthias Lederer serves as a faculty member at the Weiden Business School of Ostbayerische Technical University Amberg-Weiden, specializing in Business Informatics with a focus on Process Management. His academic position is complemented by extensive industry experience across multiple sectors including IT services, manufacturing, and consulting. Dr. Lederer's research spans four interconnected domains: process analysis and optimization, IT process management, agile process transformation, and didactics for process digitization. His work bridges theoretical frameworks with practical applications, particularly in business process management (BPM), digital transformation, and the integration of agile methodologies into organizational structures. His research demonstrates a clear trajectory toward increasingly sophisticated applications of data science and artificial intelligence in process optimization. Analysis of his recent publications reveals a strong focus on practical implementations of business process management, with particular emphasis on agile transformations, data-driven process design, and the application of AI in business contexts. His work consistently addresses the intersection of academic research and industry practice, with publications appearing in both academic journals and professional conference proceedings. The research demonstrates growing attention to digital platforms, smart manufacturing applications, and sustainable business practices. His scientific recognition includes: Best Program Director award from ISM International School of Management Project Award 'Innovative LernOrte' from OTH Award for Good Teaching from the Bavarian State Ministry Best Paper Award at the 2014 International Conference on Information Systems Multiple professional certifications including Lean Six Sigma Black Belt and OMG-Certified Expert in Business Process Management Professor Lederer has developed significant academic leadership through his role as Chairman of the Institute of Innovative Process Management. His teaching approach integrates practice-integrated methodologies, reflecting his belief in connecting academic concepts with real-world applications. His extensive consulting background with organizations like REHAU AG + Co. and the Bavarian Ministry of Justice informs his academic work and student mentorship.

Astrid NeumannView profile

Professor

• German Language Didactics
• Text Linguistics
• Writing Pedagogy
• +4 more

Prof. Dr. Astrid Neumann is a Professor of German Language Didactics at Leuphana University Lüneburg, affiliated with the Institute for German Language and Literature and its Didactics (IDD) and the Center for Empirical Research on Language and Education (ERLE). Her work bridges language didactics, general pedagogy, and comparative school research. Education: Master's degree in Modern German Literature/Bohemian Studies/Russian Studies from Humboldt University of Berlin (1989-1997), with additional qualifications in German as a foreign language and teacher training (Studienrat). Research Focus: Her primary research explores text linguistics, writing didactics, and German as a second/educational language. She leads practical projects on refugee integration through language education and digital writing tools. Key areas include: Adaptive language support in heterogeneous classrooms AI applications in writing instruction Vocational education curriculum development Publication Trends: Recent works (2022-2025) emphasize digital pedagogy, linguistic diversity management, and AI integration in German language instruction, reflecting strong applied research focus in vocational and inclusive education contexts. Projects & Advising: Leads federally funded projects like BAKODE (language sensitivity) and CODIP (digital subject teaching). Supervises doctoral candidates and coordinates service-learning initiatives linking students with community language support programs. Teams: Directs research teams at ERLE and collaborates on cross-institutional projects like EvaFa (language support evaluation) involving partners from multiple German universities.

Tony StillfjordView profile

Associate Professor

• Numerical Analysis
• Partial Differential Equations
• Stochastic Optimization
• +4 more

Tony Stillfjord is an Associate Professor at the Centre for Mathematical Sciences, Lund University, Sweden. He previously held postdoctoral positions at the Max Planck Institute for Dynamics of Complex Technical Systems and Chalmers/University of Gothenburg. Ph.D. and MSc in Numerical Analysis from Lund University Funded by WASP (Wallenberg AI, Autonomous Systems and Software Program) Research Interests : Numerical methods for partial differential equations, splitting schemes, stochastic optimization, and large-scale differential Riccati equations. His work focuses on developing low-rank approximations and robust optimization algorithms. Recent Publications highlight advancements in Lie/Strang splitting for operator-valued Riccati equations, stochastic descent methods, and GPU-accelerated splitting schemes. Software Contributions : Developed DREsplit (MATLAB package for differential Riccati equations) and BST20_CODE for stochastic optimization experiments. Contact : Office at MH:562E, Lund University. Email: tony.stillfjord@math.lth.se . URL: tonystillfjord.net