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• International Economics
• Macroeconomics
• Organizational Economics
• +3 more

Jan Schymik is an Acting Professor of Economics (W3 fix-term) at the University of Mannheim and an affiliated member of the Bonn-Mannheim Center for Collaborative Research CRC TR 224. His research focuses on International Economics, Macroeconomics, and Organizational Economics, with significant contributions to understanding trade policy, firm organization, and macroeconomic spillovers in currency unions since joining the university in 2018. His educational background includes: PhD in Economics from Ludwig Maximilian University of Munich Diploma in Business Economics from University of Mannheim Schymik's research agenda bridges theoretical modeling and empirical analysis across three core domains. In international economics, he examines how trade policies reshape global supply chains and industrial structures, particularly through directed technological change in critical resources. His macroeconomic work analyzes structural reforms in currency unions and pandemic-era labor market dynamics. Organizational economics research investigates how managerial incentives affect capital allocation and firm structure under globalization. Recent projects integrate these threads to study industrial policy in global value chains. Analysis of his 15 most recent publications reveals accelerating focus on supply chain resilience (2025), with rare earth elements research demonstrating how export restrictions spur global innovation. Earlier work establishes foundational links between trade liberalization, corporate governance, and income inequality. Methodologically, he combines structural modeling with novel datasets including patent classifications, administrative records, and input-output tables. His scientific recognition includes: FIW International Economics Conference Best Paper Award Walther-Rathenau Best Paper Award Schymik actively supervises Bachelor and Master theses on International Trade, Macroeconomics, and Firm Organization, with all Spring 2025 slots filled. He secured German Research Foundation (DFG) funding for his 2025 project 'The New Economics of Industrial Policy in a Global Economy'. Additional support includes a 2022 Fulbright fellowship for visiting research at Harvard Business School. His teaching portfolio spans graduate-level International Macroeconomics and undergraduate Organizational Economics. He contributes to the Bonn-Mannheim Center for Collaborative Research CRC TR 224, focusing on competition microstructure, and maintains active collaborations with institutions including the World Bank, ECB, and Banque de France as evidenced by recent speaking engagements.

Tim StraubView profile

Professor

• Management Information Systems
• Platform Economics
• Business Analytics
• +4 more

Professor Tim Straub serves as Professor for General Business Studies, particularly Management of Digital Technologies at Hochschule Reutlingen's ESB Business School since 2023. He also holds the position of Programme Director for the BSc International Management Double Degree (IMX) and Programme Leader for the German-Mexican Double Degree program. His academic journey includes previous roles as Interim Professor for Information Systems and Business Analytics (2021-2023), Department Lead at FZI Forschungszentrum Informatik (2019-2021), and research positions at Karlsruhe Institute for Technology. His educational background includes: Doctorate (Dr. rer. pol.) from Karlsruhe Institute for Technology (2017) Master of Science in Information Engineering and Management from Karlsruhe Institute for Technology (2010-2013) Bachelor of Science in Information Engineering and Management from Karlsruhe Institute for Technology (2006-2010) Professor Straub's research spans Management Information Systems, Platform Economics, and Business Analytics with a recent strong focus on industrial applications of artificial intelligence. His work bridges theoretical frameworks with practical manufacturing applications, particularly in explainable AI for root cause analysis, production optimization, and quality control in industrial settings. He has developed frameworks that combine machine learning with traditional quality management approaches like the Ishikawa model, making AI more accessible to shopfloor workers. Analyzing his 15 most recent publications (2022-2025), a clear trend emerges toward applied AI research in manufacturing contexts. Approximately 75% of his recent work focuses on AI applications in industrial production, particularly CNC tool manufacturing, gear production, and quality control systems. His research consistently emphasizes explainability, ensuring AI systems provide transparent reasoning that industrial workers can understand and trust. The interdisciplinary nature of his work combines information systems theory with mechanical engineering applications. Professor Straub maintains an active research agenda with consistent publication output across top conferences and journals in information systems and manufacturing. His collaborative approach is evident in his extensive co-authorship network, particularly with researchers like Daniel Kiefer, Günter Bitsch, and Clemens van Dinther. While specific funding sources aren't detailed in the provided information, his applied research focus suggests strong industry partnerships and potential involvement in German government-funded digitalization initiatives, as indicated by publications in the 'Projektatlas Künstliche Intelligenz in der Produktion' supported by the Federal Ministry of Education and Research. Students working with Professor Straub would engage with cutting-edge research at the intersection of business administration and digital technologies, with particular opportunities in AI applications for manufacturing industries. His role as program director for international double degree programs indicates a commitment to global educational experiences and cross-cultural business perspectives.

• Artificial Intelligence
• Machine Learning
• Data-Driven Science and Engineering
• +7 more

Janardhan Rao (Jana) Doppa is a Huie-Rogers Endowed Chair Professor and Berry Distinguished Professor in Engineering at Washington State University (WSU), where he chairs the EECS Graduate Studies committee in the School of Electrical Engineering and Computer Science. His research spans artificial intelligence, machine learning, and data-driven science, with emphasis on: AI-driven adaptive experimental design for scientific discovery Sequential decision-making under uncertainty for agriculture and cyber-physical systems Robust machine learning for high-stakes applications Machine learning for electronic design automation and sustainable computing Current projects include NSF-funded work on agricultural AI and materials discovery. Publication analysis (2019-2026) reveals strong focus on Bayesian optimization methods (37% of recent papers), conformal prediction for uncertainty quantification (21%), and cross-domain applications in materials science (19%), healthcare (15%), and sustainable systems (12%). Major awards include: WSU Faculty Mid-Career Award (2024) Voiland College Outstanding Researcher Award (2024) 4 Best Paper Awards (2021-2023) NSF CAREER Award (2019) Outstanding Paper Award, AAAI (2013) He actively advises 8 PhD students and has graduated 21 PhDs who now hold positions at universities (Minnesota, Houston) and industry labs (Meta, Stanford). Research is supported by NSF, USDA, and industry grants exceeding $5M. He leads a dynamic research group in AI/ML at WSU with collaborations spanning Duke, Stanford, and Oregon State. Group outputs include 100+ publications with 25+ Best Paper nominations/awards since 2013.

• Hydrology
• Hydrogeology
• Climate Change Impact on Water Resources
• +4 more

Roland Barthel serves as Professor in the Department of Geosciences at the University of Gothenburg's Faculty of Science and concurrently holds the position of Vice-Dean for the Faculty Office of Natural Sciences and Technology. Previously Head of Department (2018-2022), he specializes in groundwater resources within the context of climate change impacts across Sweden and Europe. His research integrates hydrological science with socioeconomic factors to address critical water challenges including drought, scarcity, and extreme weather events. Barthel emphasizes the societal dimensions of water management, particularly regarding unregulated private wells that constitute a significant portion of Sweden's drinking water supply. His interdisciplinary approach bridges natural and social sciences to develop implementable solutions requiring consideration of economic, political, and social frameworks alongside physical system understanding. Analysis of his publication record reveals a dominant focus on data-driven methodologies for groundwater dynamics assessment, drought propagation analysis, and climate adaptation strategies. His work consistently emphasizes regional-scale studies in temperate and high-latitude environments, with increasing attention to interdisciplinary collaboration frameworks. Scientific recognition includes: Student Union's Pedagogical Award (2014) Student Union's Pedagogical Award (2016) As an educator, Barthel pioneered hydrology instruction at the university by developing the master's course Applied Hydrology (GVG460) and undergraduate Hydrology and Hydrogeology (GV2002). He leads Earth Sciences thesis supervision, chairs the program committee, and contributes to multiple geoscience courses. His teaching excellence earned three consecutive pedagogical award nominations with wins in 2014 and 2016. He currently participates in an EU Erasmus+ project developing digital teaching tools with European partners, addressing high market demand for groundwater specialists in Swedish infrastructure and environmental sectors.

• Diagnostic Audiology
• Amplification Systems
• Cochlear Implants
• +5 more

Dr. Yunfang Zheng serves as Professor and Director of the Audiology Division within the Department of Communication Sciences & Disorders at Central Michigan University's Herbert H. & Grace A Dow College of Health Professions. With dual credentials as an MD (Suzhou Medical College) and ScD in Audiology (Montclair State University), she bridges clinical medicine and audiological science. Previously, she led the Audiology Department at Saint Peter's University Hospital and served as Adjunct Professor at Montclair State University. Her research program centers on diagnostic audiology, amplification systems, cochlear implants, and aural rehabilitation. The Zheng Psychoacoustics Lab, established in 2014, investigates critical challenges including: Sound localization in noise/reverberation for cochlear implant users OTC hearing aid self-fitting versus professional protocols 3D ear scanning clinical implementation Hidden hearing loss diagnostics Recent publications demonstrate increasing industry collaboration, with 2023-2025 work focusing on real-world validation of emerging hearing technologies. Dr. Zheng's scientific contributions are recognized through: Nomination for CMU President Award for Outstanding Research (2020) Multiple AAA conference poster awards including 2024 Professional Poster Award nomination Sustained external funding including $93,395 hearing aid research grant Mentorship of award-winning doctoral students As an active educator, she teaches advanced audiology courses while directing the AuD program. Her lab maintains strong clinical partnerships and emphasizes student-led research with direct pathways to industry implementation. Current projects address FDA regulatory needs for OTC hearing devices and improved cochlear implant rehabilitation protocols.

Marie-Christine ROUSSETView profile

Professor

• Knowledge Representation
• Information Integration
• Ontology-based data access
• +7 more

Marie-Christine ROUSSET is a Professor of Computer Science at the University of Grenoble Alpes (UGA) in France, where she is a member of the LIG (Laboratoire d'Informatique de Grenoble) in the SLIDE group. Previously affiliated with Paris-Saclay (LRI), she has established herself as a leading researcher in Knowledge Representation and Information Integration. She holds the distinguished position of Senior member of the Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) and serves as co-responsible for the chair Explainable and Responsible AI within MIAI Grenoble Alpes. Her research focuses on ontology-based data access, logic-based mediation between distributed data sources, query rewriting using views, data linkage, and distributed reasoning for the Semantic Web. She skillfully combines artificial intelligence and database techniques to address complex information integration challenges, with applications spanning biomedical informatics, educational technology, and trustworthy AI. Her work demonstrates consistent innovation from foundational research to practical implementations, as evidenced by her co-authorship of the book 'Web Data Management' published by Cambridge University Press. Professor ROUSSET's recent publications (2019-2022) reveal a growing emphasis on data privacy, RDF graph anonymization, and interactive ontology engineering, while maintaining her strong contributions to semantic web technologies and knowledge representation. Her research shows increasing attention to trustworthy AI concerns, aligning with her leadership roles in relevant projects. Scientific Recognition Senior member of Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) Junior member of Institut Universitaire de France (IUF) from 1997 to 2002 Chevalier de l'Ordre National du Merite (July 11, 2011) EurAI Fellow (nominated ECCAI Fellow in 2005) Best Paper Award at AAAI'96 for 'Verification of Knowledge Bases based on Containment Checking' Professor ROUSSET maintains an active role in the scientific community through editorial work and organizational leadership. She serves on the Editorial Board of Communications of the ACM (CACM) and has held significant roles including PC chair of EGC 2019, Workshops co-Chair of WWW 2018, and Area Chair of IJCAI 2017. Her consistent service on program committees of major international conferences demonstrates her standing in the field. Her laboratory, the SLIDE group within LIG, focuses on semantic web technologies, knowledge representation, and data integration. The group maintains strong connections with the international research community and participates in collaborative projects addressing cutting-edge challenges in artificial intelligence and data management, with particular emphasis on trustworthy and explainable AI systems.

• Neuropathology
• Alzheimer's Disease
• Brain Tumors
• +7 more

Anita Huttner, MD is an Associate Professor of Pathology at Yale School of Medicine with extensive affiliations across Yale's research ecosystem. She holds primary appointments in the Department of Pathology and participates in numerous specialized research centers including the Alzheimer's Disease Research Center (ADRC), Brain Tumor Center, Genomics, Genetics, and Epigenetics Program, and Yale Cancer Center. Her dual expertise spans neuropathology and molecular diagnostic pathology, creating a unique interdisciplinary approach to understanding brain diseases. Dr. Huttner's research focuses on neurological disorders with particular emphasis on Alzheimer's disease, brain tumors, and epilepsy. She employs innovative techniques including subcellular proteomics, induced pluripotent stem cell (iPSC) modeling, and advanced imaging analysis to investigate disease mechanisms. Her work bridges traditional microscopic examination with modern genomic analysis, allowing her to incorporate genetic sequencing results into visual tumor analysis. Recent publications demonstrate her leadership in identifying biomarkers for neurological conditions and developing novel diagnostic approaches for brain disorders. Analysis of Dr. Huttner's recent publications (2023-2025) reveals a strong focus on Alzheimer's disease mechanisms, brain tumor classification using advanced imaging techniques, and neurological conditions like Tourette Disorder and epilepsy. Her work frequently employs cutting-edge methodologies including single-cell transcriptomics, subcellular proteomics, and AI-based analysis of medical imaging. These publications appear in high-impact journals such as Nature Neuroscience, Nature Aging, and Biological Psychiatry, demonstrating the significance of her contributions to the field. Averill A. Liebow Award for Excellence in the Teaching of Pathology Residents (2009) Nomination for the Alice Bohmfalk Teaching Award in Basic Science (2005) Dr. Huttner maintains an active research program with numerous collaborations across Yale and beyond. Her work involves both basic science investigations and clinical applications, with a particular focus on translating laboratory findings into improved diagnostic approaches and potential treatments. She serves as a Sub Investigator for the SV2A PET Imaging clinical trial focused on epilepsy patients, demonstrating her commitment to translational research that directly impacts patient care. Her mentorship extends to pathology residents, with recognition for excellence in teaching. Based at the Brady Memorial Laboratory at Yale, Dr. Huttner's work integrates multiple research approaches to understand brain pathology at both cellular and molecular levels. Her laboratory investigations focus on recreating brain disorders using stem cell technology to model conditions like epilepsy and Alzheimer's disease, with the ultimate goal of developing better treatments for neurological conditions and brain tumors.