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Meital ZilbermanView profile

Professor

• Polymeric biomaterials
• Bioresorbable medical implants
• Tissue engineering
• +5 more

Professor Meital Zilberman is a tenured faculty member at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering, holding appointments in both the Department of Biomedical Engineering and the Department of Materials Science and Engineering. She serves as Head of the Biomaterials Group and has established herself as a leading researcher in polymeric biomaterials and drug delivery systems. During 2015-2020, she served as president of the Israel Society for Medical and Biological Engineering (ISMBE). Professor Zilberman received her B.Sc. in Chemical Engineering (Cum Laude) and her M.Sc. and Ph.D. in Materials Engineering from the Technion in Israel. She continued her training as a post-doctoral fellow at the University of Texas Southwestern Medical Center at Dallas before joining Tel Aviv University in 2002, where she established research and teaching activities in biomaterials and drug delivery. Her research program focuses on polymeric biomaterials, active implants and scaffolds for tissue engineering, and drug-delivery systems. The Zilberman Lab combines polymer science, drug delivery, and tissue engineering to create novel active implants and scaffolds that provide both tissue support/regeneration and localized drug delivery. Recent work emphasizes hydrogels due to their similarity to the extracellular matrix, with particular attention to natural polymers like gelatin and alginate for their biocompatibility, biodegradability, and promotion of cell proliferation. Analyzing her recent publications reveals a strong focus on dual-composite hydrogels for medical applications, particularly wound healing and tissue regeneration. Her work demonstrates expertise in developing soy protein-based wound dressings with controlled release of analgesics and antimicrobials, as well as gelatin-alginate systems for surgical sealants and bioadhesives. The research consistently addresses the critical formulation-structure-properties-function relationships in biomaterials design. JULUDAN prize from the Technion for outstanding research with technological applications Journal of Wound Care (JWC) world first place innovation award for wound care innovation Professor Zilberman has supervised more than 50 graduate students and 60 undergraduate students throughout her career. Her research has been continuously funded by competitive governmental agencies including the Israel Science Foundation (ISF) and Israel Ministry of Health (MOH), as well as applied research grants from Kamin (Israel Ministry of Trade), MAFAT, and Momentum Fund. She teaches four graduate and undergraduate courses in biomaterials, polymeric biomaterials, drug-eluting biomedical devices, and natural polymers in medical applications. The Zilberman Lab maintains active research in developing novel biomaterials for wound healing, tissue engineering, and drug delivery applications. Current projects include dual-composite hydrogels with functional fillers, hemostatic biodhesives based on natural polymers, and catheter-injectable hydrogel scaffolds for tissue engineering. The lab combines fundamental materials science with translational medical applications, aiming to address unmet clinical needs through innovative biomaterials design.

Ilias GerostathopoulosView profile

Professor

• Software architecture
• Self-adaptive systems
• Data-driven software engineering
• +7 more

Ilias Gerostathopoulos is a Professor at the Chair for Software and Systems Engineering (I4) at the Technical University of Munich. His research focuses on software architecture, self-adaptive systems, big data analytics, and component-based development for cyber-physical systems. Education: PhD in Model-Driven Development of Software-Intensive Cyber-Physical Systems (Charles University, 2015) Research Venues: Active in PC member roles and track co-chair positions across conferences like ECSA, FAS*, SEAA, SASO, and ICSE. Organized workshops on evaluation metrics and data-driven software engineering. Scientific Contributions: Developed frameworks for dynamic component ensembles Advanced architectural homeostasis in adaptive systems Created toolchains for smart farming and traffic optimization Pioneered experiment-driven adaptation in cyber-physical systems Scientific Awards: Second place in ACM Student Research Competition (MODELS'14) Teaching: Offered graduate-level seminars on software architecture trends and IoT systems co-developed with Christian Prehofer.

• Artificial Intelligence
• Machine Learning
• Game Theory
• +7 more

Frans A. Oliehoek is a Full Professor in Interactive Learning and Decision Making at the Department of Intelligent Systems, Delft University of Technology. He co-leads the Sequential Decision Making group and serves as director and co-founder of the ELLIS Delft Unit. His academic affiliations include senior membership at AAAI, board membership at IFAAMAS, and associate editor roles for JAIR and AIJ. His research focuses on interactive learning and decision making , integrating AI, machine learning, and game theory to develop algorithms for agents interacting in complex, dynamic environments. Key themes include Bayesian reinforcement learning , influence-based abstraction , multi-agent coordination , and uncertainty modeling in real-world applications like traffic control, human-AI collaboration, and e-commerce agents. Recent publications highlight advancements in Bayesian RL with factored POMDPs , multi-agent safety guarantees , and state abstraction . His work spans theoretical foundations (e.g., Nash equilibria, MDP homomorphic networks) and practical frameworks (e.g., SHARPIE for human-AI experiments). Scientific contributions include: ELLIS Fellowship Senior AAAI Membership Best Paper Award at ALA 2021 Outstanding Paper Award at RLC 2024 He has advised students like Miguel Suau and Robert Loftin, with applications in multi-agent reinforcement learning , Bayesian planning , and human-AI interaction . Collaborations span institutions like UC Berkeley, University of Amsterdam, and MIT.

Valentin BertschView profile

Professor

• Energy Systems Analysis
• Energy Economics
• Electricity Market Design
• +5 more

Prof. Dr. Valentin Bertsch is a Professor and Chair of the Department of Energy Systems and Energy Economics at Ruhr University Bochum (RUB), Faculty of Mechanical Engineering. He also serves as a Research Affiliate at the Economic and Social Research Institute (ESRI) in Dublin, Ireland. His educational background includes a doctorate with distinction in Economics from the University of Karlsruhe (TH) in 2007, where he completed his thesis titled "Uncertainty Handling in Multi-Attribute Decision Support for Industrial Risk Management." He earned his degree in Technomathematics from the University of Karlsruhe (TH) and Université Joseph Fourier in Grenoble, France, and received a Higher Education Didactics Certificate from Baden-Württemberg Center for Higher Education Didactics in 2014. Prof. Bertsch's research focuses on energy systems analysis, energy economics, electricity market design, renewable energy integration, power system planning, demand response, and energy policy . His work bridges technical and economic aspects of energy systems, with particular emphasis on the integration of renewable energy sources, market design for future electricity systems, and the socio-economic aspects of energy transitions. His research employs advanced modeling techniques including stochastic optimization, agent-based modeling, and multi-criteria decision analysis to address complex energy system challenges. His recent publications demonstrate a strong focus on the challenges of integrating renewable energy into electricity markets, the role of demand response and flexibility, energy community models, and the socio-economic aspects of energy transitions. His work spans from technical system analysis to policy-relevant research with practical applications for energy market design and energy transition pathways. EEX Group Excellence Award 2023 for outstanding research in electricity market optimization Award for good teaching at KIT (2015/2016/2017) HECTOR Teaching Award 2013/2014 for excellence in energy education Prof. Bertsch actively participates in the scientific community as a member of the editorial board of the European Journal of Industrial Engineering and as a reviewer for numerous prestigious journals including Energy Policy, Applied Energy, and European Journal of Operational Research. He serves on the scientific advisory board of the Energy Research Area at Karlsruhe Institute of Technology (KIT) and is a member of the Management Board of the EERA Joint Programme "Energy Systems Integration" with responsibility for energy markets, modeling, policy and regulation. He leads the Chair of Energy Systems and Energy Economics at RUB, which conducts research on energy system modeling, market design, and policy analysis. The department collaborates with various research groups across Europe through the EERA Joint Programme and maintains strong connections with industry and policy makers to ensure research relevance and impact.

• Multimedia Databases
• Workflow Systems
• Business Intelligence
• +3 more

Prof. Dr.-Ing. Robert Müller is a faculty member at the Faculty of Computer Science and Media of Leipzig University of Applied Sciences (HTWK Leipzig). His expertise lies in Multimedia Databases , with a focus on advanced data modeling and workflow integration techniques. Collaborated on industry projects like FoodBroker for synthetic datasets in business analytics Pioneered graph-grammar approaches for medical context representation Developed rule-based workflow systems for healthcare domains His research spans Workflow Systems , Knowledge-Based Modeling , and Graph-Based Analytics , as evidenced by publications in both computer science and health informatics. He actively contributes to academic projects through his technical leadership in database and process engineering.

Sabine AmslingerView profile

Researcher

• Bioorganic Chemistry
• Medicinal Chemistry
• Natural Product Synthesis
• +3 more

Sabine Amslinger is a researcher at the Institute of Organic Chemistry , University of Regensburg , focusing on bioorganic and medicinal chemistry. Her work spans natural product synthesis, anti-inflammatory drug development, and mechanism exploration via HO-1 induction. Education : Studied Chemistry at Friedrich-Alexander University Erlangen-Nürnberg (Germany) and the University of Lawrence (Kansas, USA), completing her diploma thesis on biotinylated glycolipids. Earned her PhD in terpene biosynthesis at Technical University Munich under Prof. Dr. Dr. A. Bacher (2000-2003). Conducted postdoctoral research at University of California, Berkeley (2004-2006) under Prof. Dr. K. P. C. Vollhardt. Research Interests : Centered on bioorganic chemistry and medicinal applications , specifically synthesizing and evaluating natural products as potential drugs. Key focus areas include anti-inflammatory agents , HO-1 stimulation , and chalcone derivatives for immunomodulation. Her synthetic strategies involve cobalt-mediated cyclizations and Michael acceptor tuning. Publications : Recent articles highlight the role of HO-1 inducers in cytoprotection, chalcone derivatives as JAK/STAT inhibitors, and click chemistry for target identification in natural products like xanthohumol. These span organic synthesis, pharmacology, and immunology.

Peter GmeinerView profile

Professor

• Medicinal Chemistry
• Pharmaceutical Chemistry
• GPCR Research
• +3 more

Prof. Peter Gmeiner is a Full Professor of Pharmaceutical Chemistry at the Friedrich-Alexander University Erlangen-Nürnberg (FAU), where he has chaired the Department since October 1996. He leads the Gmeiner Laboratory, which focuses on the discovery of probes and drug candidates targeting G-protein coupled receptors (GPCRs). His research group investigates the design, chemical synthesis, and pharmacological properties of biogenic amine analogs and peptide mimetics, contributing significantly to CNS-active drug development. Prof. Gmeiner's educational background includes: Ph.D. in 1986 from the University of Munich Postdoc at the University of California, Berkeley (1987-1988) Dr. habilitus in 1992, honored with the Johann-Wolfgang-Döberreiner prize of the DPhG (1993) Prof. Gmeiner's research spans the structure-based design, synthesis, and pharmacological investigation of bioactive molecules addressing G-protein coupled receptors (GPCRs), with a focus on aminergic and peptidergic receptors. His group aims to discover probes and drug candidates for GPCRs by investigating the design, chemical synthesis, and pharmacological properties of biogenic amine analogs and peptide mimetics. Through radioligand binding studies and functional assays, they reveal the structural origins of subtype selectivity and intrinsic activity. The laboratory has substantial experience in designing, synthesizing, and biologically investigating bioactive molecules, contributing to developments in CNS-active drugs. Recent publications reflect a strong focus on GPCR-targeted drug discovery, with particular emphasis on pain management, neurodegenerative diseases, and psychiatric disorders. The research spans from basic structural biology of receptor-ligand interactions to translational applications in disease models. Key areas include neurotensin receptor ligands for Parkinson's disease, selective serotonin receptor agonists for pain treatment, and novel approaches to non-opioid analgesics targeting adrenergic receptors. Prof. Gmeiner has received several prestigious awards for his contributions to pharmaceutical sciences: Carl Mannich Medal from the German Pharmaceutical Society (DPhG) in 2023 Reinhart Koselleck grant from the German Research Foundation (DFG) in 2024 Johann-Wolfgang-Döberreiner prize of the DPhG in 1993 Prof. Gmeiner has supervised numerous PhD students and postdoctoral researchers, with current students including Omed Akreyi, Jana Bláhová, Tobias Braun, and others working on GPCR ligand development. His research has been supported by significant grants, including the Reinhart Koselleck funding of one million euros over five years for research into pain medications that target multiple receptors to minimize side effects. He has also led the DFG Research Training Group GRK 1910 "Medicinal Chemistry of Selective GPCR Ligands" and collaborated with pharmaceutical companies on drug development projects. The Gmeiner Laboratory at FAU comprises a diverse team of senior scientists, postdocs, PhD students, technicians, and administrative staff working collaboratively on GPCR research. The laboratory has established strong collaborations with research groups at institutions including ETH Zürich, University of North Texas, Cornell University, and the National Institute of Drug Abuse (NIDA). Recent work has included collaborations with Nobel laureate Brian Kobilka on determining crystal structures of GPCR complexes. The laboratory's research has led to significant discoveries, including the development of the biased ligand PZM21 for analgesic therapy with reduced respiratory depression and addictive effects.

• Decision Support Systems
• Multi-Criteria Decision Analysis
• Group Decision Making
• +3 more

Rudolf Vetschera is a full-time Professor at the University of Vienna's Faculty of Business, Economics and Statistics, Department of Business Administration. His research focuses on Decision Support Systems, Multi-Criteria Decision Analysis, and behavioral aspects of cooperation and negotiations. His publications span cross-cultural studies in computer-mediated negotiations, preference modeling under uncertainty, and algorithmic approaches to decentralized planning. Key contributions include feedback-oriented GDSS frameworks and sensitivity analysis techniques for multi-criteria models. Recent works analyze cultural impacts on web-based negotiation support systems, knowledge management in network organizations, and strategic preference manipulation in group decisions. Earlier works established foundational methods for interactive multi-attribute decision-making and volume-based sensitivity metrics.

Ansgar MerothView profile

Professor

• Human-Machine Interface
• Automotive Systems Engineering
• Networked Control Systems
• +4 more

Prof. Dr.-Ing. Ansgar Meroth is a Full Professor at Heilbronn University within the Faculty of Technology (also known as Faculty of Mechanics and Electronics). He serves as International Representative of the Faculty, Founding Dean at the German International University in Cairo, and holds a professorship in the Automotive Systems Engineering program. His research focuses on: Human-Machine Interface systems for vehicle applications Driving simulation and vehicle dynamics Networking in vehicles, special machinery, and elevator systems Car-to-X communication technologies Autonomous water vehicles and sensor networks Prof. Meroth's recent publication activity (2023-2025) shows a strong emphasis on networked control systems under bandwidth constraints, IoT applications in agriculture, and advanced communication protocols. His work bridges theoretical control systems engineering with practical automotive applications, evolving from fundamental automotive networking toward specialized applications in precision agriculture and autonomous systems. Professional leadership roles include: Deputy Program Director for International Automotive Management International Representative for Faculty of Technology Member of uniTyLab research group Member of University Senate His industry collaborations focus on: Intelligent charging stations for electric vehicles Autonomous boats development Smart agriculture sensor networks Hardware-in-the-loop testing systems Professional affiliations: Chair of VDI Neckar Group board Member of Württemberg Engineers' Association extended board Secretary of Lions Club Heilbronn-Wartberg (since 2015) Board member of Thomas-Gessmann Foundation

Juan Sebastian Rocha OrtizView profile

Researcher

• Electrocatalysis
• Photovoltaics
• Materials Science
• +6 more

Dr. Juan Sebastian Rocha Ortiz is a Research Scientist at the Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN), affiliated with the University of Erlangen-Nuremberg. His work focuses on electrocatalysis, photovoltaics, and sustainable energy systems, with expertise in high-throughput material discovery and interface engineering. Research Scientist, HI ERN, University of Erlangen-Nuremberg (since 2025) Research Interests: Specializing in electrocatalytic processes for energy conversion, Ortiz applies high-throughput methods to optimize photovoltaic materials and hydrogen storage systems. His work bridges nanoscale analysis of electrochemical interfaces with sustainable energy technologies. Publication Trends: Recent publications highlight his focus on inverted perovskite solar cells, BODIPY-based materials, and automated workflows for semiconductor discovery. The research spans molecular design, interface engineering, and advanced fabrication techniques. Laboratory Affiliation: Based in Erlangen, Germany, Ortiz contributes to HI ERN's mission in renewable energy research, particularly through projects involving electrochemical hydrogen storage and photovoltaic innovation.

Steven M. GoodreauView profile

Professor

• Biocultural Anthropology
• Global Health
• Medical Anthropology
• +10 more

Steven M. Goodreau is a Professor in the Department of Anthropology at the University of Washington, Seattle, with an additional appointment as Adjunct Professor in the Department of Epidemiology. He serves as the Development Core Director at the Center for Studies in Demography and Ecology (CSDE) and is affiliated with multiple research centers including the Center for AIDS and STD/Center for AIDS Research, the Center for Statistics and the Social Sciences, the eScience Institute, and the Quantitative Ecology and Resource Management program. His research focuses on human infectious disease ecology, particularly HIV transmission dynamics among sexual and gender minorities. His expertise spans social network analysis, exponential random graph models, epidemic modeling, and agent-based modeling. Dr. Goodreau's work examines sexual networks among gay and bisexual men, HIV disparities, pre-exposure prophylaxis (PrEP), sexual behavior patterns, and the intersection of viral evolution with social structure. His recent publications demonstrate a strong emphasis on mathematical modeling of HIV transmission, vaccine impacts, and prevention strategies. His work often addresses the complex interplay between sexual network structures and disease spread, with particular attention to men who have sex with men (MSM) populations. His influential software packages include statnet and EpiModel, which are widely used for network and epidemic modeling. Dr. Goodreau leads several research teams including statnet, EpiModel, CAMP (Coalition for Applied Modeling Project), and EvoNetHIV, contributing significantly to methodological advances in network-based epidemiological research. His work bridges anthropology, epidemiology, and computational modeling to address critical questions in infectious disease dynamics.

Georg AhnertView profile

Researcher

• Computational Social Science
• Data Science
• Large Language Models (LLMs)
• +5 more

Georg Ahnert is a Researcher at the Chair of Data Science in the Economic and Social Sciences at the University of Mannheim since 2023. He previously worked as a Student Assistant at GESIS Leibniz Institute for the Social Sciences and conducted internships at LMU Munich's SODA Lab and the Computational Social Science Lab at the Institute of Science Tokyo. M.Sc. Computational Social Systems (2023), RWTH Aachen University B.Sc. Computer Science (2020), RWTH Aachen University His research focuses on Large Language Models (LLMs) in social science contexts, including: Fairness-aware algorithm design Generative agent-based modeling Temporal affect analysis in social media Survey methodology integration with NLP Methodological frameworks for digital data Human-like bias detection in AI responses He teaches the Master's course IS 617 – Large Language Models for the Economic and Social Sciences , covering both theoretical and practical applications of LLMs in social science domains. His recent publications (2021-2025) demonstrate expertise at the intersection of computational methods and social science analysis, with a strong emphasis on temporal modeling, fairness, and methodological innovation.

WolffgangView profile

Professor

• Artificial Intelligence
• Deep Learning
• Natural Language Processing
• +7 more

Professor Wolffgang is an academic at the University of Münster, affiliated with the Institute of Customs and International Trade Law. He coordinates international conferences on protectionism and tariff reforms, and has made significant contributions to artificial intelligence applications in medical diagnostics and economic modeling. His research spans two primary domains: Medical Informatics: Applying AI/ML to prostate cancer diagnosis and EHR data extraction Economic Simulation: Developing multi-agent systems and modeling frameworks Recent publications demonstrate his work in: Interpretable AI for histology image analysis Automated data extraction from medical records Model-driven web application development Professor Wolffgang actively participates in international academic discourse, most recently moderating panels on customs reform during global economic shifts.

• Agent-based modeling
• Speculative markets
• Nonlinear dynamics
• +3 more

Sarah Mignot serves as a Scientific Associate at the Chair of Economics, especially Economic Policy within the Faculty of Social and Economic Sciences at Otto-Friedrich University of Bamberg, where she conducts research on financial market dynamics through computational and analytical frameworks. Her research centers on agent-based modeling of speculative markets, emphasizing nonlinear dynamics, heterogeneous agent interactions, and bounded rationality as drivers of market instabilities. She investigates phenomena including boom-bust cycles, exchange rate fluctuations, and misinformation impacts on asset pricing, employing methodologies that bridge economic theory with complex systems analysis. Analysis of her 2021-2025 publications reveals a cohesive focus on agent-based financial modeling, with recurring exploration of heterogeneous expectations, chaotic dynamics, and market microstructure across foreign exchange and stock markets. Her work consistently demonstrates how boundedly rational agent interactions generate stylized market facts, primarily through collaboration with Frank Westerhoff in high-impact computational economics journals.

Jinhan KimView profile

Researcher

• Software Engineering
• Artificial Intelligence
• Testing of AI Systems
• +5 more

Jinhan Kim is a Postdoctoral Researcher at the Software Institute of USI University of Lugano, Switzerland, working in the TAU lab under the guidance of Prof. Paolo Tonella. He completed his Ph.D. in Software Engineering at KAIST, South Korea, under the supervision of Prof. Shin Yoo, where his research focused on mutation testing and the intersection of artificial intelligence and software engineering. His educational background includes: Ph.D. in Software Engineering, KAIST, South Korea (completed February 2023) Kim's research spans software engineering and artificial intelligence, with a focus on mutation testing, testing of deep learning systems, and security of AI models. He investigates techniques for improving the reliability and robustness of AI systems, particularly in safety-critical domains like autonomous driving. His work bridges traditional software engineering practices with modern AI systems, leading to novel approaches in fault localization, program repair, and adversarial testing. His recent publications reveal a strong trend toward testing and securing deep learning models in autonomous systems. He has developed taxonomies for attacks, frameworks for testing autonomous agents, and empirical studies on fault localization for neural networks. His work increasingly addresses securing AI systems against adversarial attacks and improving robustness of security detectors generated by large language models. Kim has received notable recognition including: Best Paper Award at the 18th International Workshop on Mutation Analysis (Mutation 2023) As an advisor, Kim supervises two PhD students: Masoud Jamshidiyan Tehrani and Samuele Pasini, working on security of deep learning models and robustness of security attack detectors. He actively serves the research community through program committees for ASE, ICSE, ISSTA, and ICST, and as organizer of DeepTest and SBFT workshops. His service includes being a Distinguished Reviewer for TOSEM. Kim is a core member of the TAU (Testing: Analysis and Understanding) lab at USI, which pioneers innovative approaches to software testing and analysis for modern AI-based systems.