جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Human-Computer Interaction
• Machine Learning
• +۴ مورد دیگر

Jeffrey P. Bigham is a researcher at Carnegie Mellon University 's Human-Computer Interaction Institute . He specializes in Artificial Intelligence , Accessibility , and Human-Computer Interaction , with a focus on Inclusive AI systems Accessible web and mobile development Large language model applications User interface engineering His recent publications explore synthetic data generation for UI/Slide understanding, LLM-based code generation , and real-time notetaking systems . Key themes include Improving accessibility through AI Interactive ML model optimization Collaborative human-AI workflows Visual and speech interface analysis Bigham's work spans Computer Science , Machine Learning , and Natural Language Processing , often addressing disability inclusion and user-centered AI . He collaborates extensively with researchers like Jason Wu Yi-Hao Peng Amy Pavel Stephanie Valencia Henny Admoni across 300+ publications since 2006. Notable contributions include automated accessibility tools (like Screen Recognition ), stuttering accommodation in speech recognition , and generative AI literacy initiatives . His research bridges technical AI innovation with social impact , particularly for marginalized user groups.

• Neural Networks
• Adaptive Resonance Theory
• Machine Learning
• +۵ مورد دیگر

Professor Ah-Hwee Tan is a distinguished faculty member at Singapore Management University's School of Computing and Information Systems, Department of Information Systems. With over 30 years of academic contributions since 1991, his research has significantly advanced neural network architectures, particularly Adaptive Resonance Theory (ART), with applications spanning multiple domains of artificial intelligence. His primary research interests include Neural Networks , Adaptive Resonance Theory , Machine Learning , Reinforcement Learning , Knowledge Graphs , Natural Language Processing , and Multi-Agent Systems . Professor Tan's work bridges theoretical neural computation with practical applications, developing novel approaches for knowledge representation, semantic understanding, and intelligent decision-making systems. His recent publications (2022-2025) demonstrate continued innovation across multiple AI subfields, with particular emphasis on hierarchical reinforcement learning, knowledge graph refinement, sentiment analysis, and federated learning architectures. The research shows a clear trajectory from foundational neural network theory toward increasingly complex real-world applications in healthcare, social media analysis, and multi-agent coordination. Professor Tan has mentored numerous researchers who have become significant contributors in their own right, including Budhitama Subagdja, Shubham Pateria, and Di Wang. His collaborative work spans international institutions, reflecting his standing in the global AI research community. His research has been consistently published in top-tier venues including IEEE Transactions, Neural Networks, ACM journals, and major AI conferences (AAAI, IJCAI), demonstrating both theoretical rigor and practical impact across computer science and interdisciplinary applications.

• Computer Vision
• Deep Learning
• Robotics
• +۵ مورد دیگر

Hao Yang is a Professor at Southeast University's School of Computer Science and Engineering, specializing in computer vision, deep learning, and robotics. His research spans multiple domains including medical imaging, infrastructure inspection, and multimodal AI systems. His research interests focus on advancing computer vision techniques for practical applications. He develops innovative deep learning architectures for object detection, image segmentation, and quality assessment, with particular emphasis on solving challenges in complex real-world scenarios including rotated object detection, ancient character recognition, and 3D point cloud analysis. His work often integrates novel transformer variants and Mamba architectures to address domain-specific challenges. His publication record shows significant contributions across multiple IEEE and ACM journals, with a strong emphasis on practical applications of AI in engineering contexts. His recent work demonstrates expertise in adapting cutting-edge neural network architectures to solve domain-specific problems in civil engineering, medical imaging, and transportation systems. Hao Yang actively collaborates across disciplines, with publications spanning computer science, electrical engineering, civil engineering, and biomedical applications. His work frequently appears in top-tier conferences including CVPR, AAAI, and ACL, demonstrating his broad impact across multiple AI subfields.

• Wireless Communications
• Machine Learning
• Robotics
• +۶ مورد دیگر

Dr. Kwang-Cheng Chen is a Professor in the Department of Electrical Engineering at the University of South Florida. His research focuses on wireless communications, machine learning applications in networks, robotics, and smart manufacturing systems. He holds a PhD from the University of Maryland (1989) and has affiliations with institutions like National Taiwan University and National Tsing Hua University. Dr. Chen has contributed extensively to IEEE journals and conferences, with over 400 publications since 1992. His work bridges theoretical advancements and practical applications in areas such as 5G/6G networks, edge computing, and multi-agent systems. He has collaborated with global researchers and industry partners, addressing challenges in network slicing, UAV-assisted communications, and resilient production systems. Research interests include: Machine Learning for Network Optimization Smart Factory Automation Ultra-Reliable Low-Latency Communications (URLLC) Edge and Fog Computing Multi-Agent Systems and Robotics Network Slicing and Virtualization Recent articles emphasize leveraging AI and reinforcement learning to solve complex problems in wireless networks (e.g., RIS-aided interference suppression) and robotic systems (e.g., multi-robot task allocation). His work often integrates theoretical models with real-world deployments, such as blockchain-enhanced UAV communication and federated learning in open RAN systems. Grants and collaborations involve government and industry projects on 6G architectures, IoT security, and smart city infrastructure. He leads interdisciplinary teams focusing on future communication systems and industrial automation.

Thomas Kiderleمشاهده پروفایل

پژوهشگر

• Human-Centered AI
• Nonverbal Behavior Analysis
• Computational Humor
• +۴ مورد دیگر

Thomas Kiderle is a Researcher at the Chair for Human-Centered Artificial Intelligence at the University of Augsburg's Faculty of Applied Computer Science. His work focuses on nonverbal behavior synthesis, computational humor, and virtual character development. Key projects include PRESENT (photorealistic sentient entities) and ViLeArn_more (virtual learning environments). He contributes to interdisciplinary research in affective computing, social robotics, and AI ethics. Research interests span multimodal interaction design, generative AI for social agents, and real-time behavioral adaptation. Notable publications address voice conversion for virtual agents, parallel robot affective expressions, and socially-aware personality systems. His team develops emotionally intelligent systems for healthcare, education, and human-robot collaboration. Supervises topics in virtual character interaction, conditional motion synthesis, and multimodal dialogue systems. Collaborates on EU-funded projects like FORSocialRobots and MITHOS. Active in forums like FMLA (Machine Learning Augsburg). Contact: Email | Office 2038N | ORCiD

• Modern Innovation Theory
• Industrial Economics
• Complexity Economics
• +۹ مورد دیگر

Prof. Dr. Andreas Pyka is a Professor of Innovation Economics at the University of Hohenheim. His research focuses on modern innovation theory, complexity economics, and the bioeconomy, emphasizing sustainability transitions and policy design. He holds a PhD and habilitation from the University of Augsburg, with postdoctoral and visiting professorships at institutions in Grenoble, Vienna, and Bremen before joining Hohenheim in 2009. Education: Studied economics at the University of Augsburg (PhD), followed by postdoctoral research at INRA/SERD in Grenoble. Visiting professorships included the Austrian Research Centers in Vienna (2004) and a role at the University of Bremen (2006–2009). Research Interests: Pyka explores the interplay between digital and green transitions, innovation networks, and policy frameworks for sustainable development. His work addresses challenges in bioeconomy, circular economy, and the role of artificial intelligence in stakeholder capitalism models. Recent Article Trends: Focus on sustainability transitions (e.g., bioeconomy governance, food security post-Paris Agreement), digital transformation in industries (automotive, platforms), and agent-based modeling of innovation diffusion. His contributions bridge theoretical frameworks (e.g., Schumpeterian economics) with policy-relevant analysis. Awards: None explicitly listed in the provided texts. Advising & Grants: Supervised numerous dissertations and leads the Department of Innovation Economics, fostering collaborative research with visiting scholars and external doctoral teams. His work emphasizes policy laboratories and systemic interventions in regional innovation systems. Labs/Teams: Coordinates the Chair's research activities, including doctoral seminars and interdisciplinary projects on sustainability and innovation systems.

Thomas Leisnerمشاهده پروفایل

استاد

• Atmospheric Science
• Climate Research
• Aerosol Physics
• +۳ مورد دیگر

Prof. Thomas Leisner is a Professor and Deputy Scientific Spokesman at the Karlsruhe Institute of Technology (KIT), leading the Institute of Meteorology and Climate Research - Atmospheric Aerosol Research (IMK-AAF). His research focuses on atmospheric processes, particularly ice nucleation, aerosol physics, and climate intervention. He has contributed to advancing understanding of secondary ice production mechanisms, aerosol composition in urban and rural environments, and the role of aerosols in cloud formation and climate dynamics. His work integrates field measurements, laboratory experiments, and numerical modeling to address critical gaps in climate science. Research interests include the physical and chemical properties of aerosols, their impact on climate and air quality, and the development of innovative sampling technologies such as UAV-based aerosol measurement systems. He actively investigates the seasonal variability of ice-nucleating particles, biogenic and anthropogenic aerosol sources, and their implications for environmental health and climate change mitigation strategies. Key contributions include studies on the Hallett-Mossop secondary ice production mechanism, brown carbon aerosol characterization, and the role of mucin in respiratory droplet behavior. His research spans interdisciplinary topics such as urban pollution dynamics, forest ecosystem interactions, and the application of cloud chamber experiments to assess climate intervention effectiveness. Prof. Leisner collaborates on international projects, including the Pallas Cloud Experiment, and contributes to climate policy discussions through his analysis of model uncertainties and scientific knowledge gaps. His team develops advanced instrumentation for aerosol analysis and participates in large-scale atmospheric campaigns to enhance observational data for climate models.

• Human-Computer Interaction
• E-Government
• Artificial Intelligence
• +۵ مورد دیگر

Suree Funilkul is an active researcher in the fields of Human-Computer Interaction, E-Government, and Internet of Things (IoT). Her work focuses on user experience (UX) design, AI-driven conversational agents, cybersecurity in consumer IoT, and smart home technologies. She has collaborated extensively with researchers like Debajyoti Pal on studies involving voice assistants, metaverse adoption in education, and information quality frameworks for public sector systems. Her research spans both theoretical models (e.g., SEM-based analyses) and practical frameworks (e.g., CASUX scale for AI UX measurement).

Alexander Zassمشاهده پروفایل

استاد

• Probability Theory
• Statistical Mechanics
• Mathematical Physics
• +۳ مورد دیگر

Alexander Zass is a Substitute Professor for Probability Theory at the University of Potsdam and a post-doctoral researcher in the Interacting Random Systems group at WIAS, Berlin. His research focuses on advanced topics in probability theory, statistical mechanics, and stochastic processes, with particular emphasis on Gibbs point processes, diffusion dynamics, and mathematical physics. He explores systems such as infinite-dimensional diffusions, depletion interactions in colloids, and phase transitions in interacting particle systems. His work integrates rigorous mathematical analysis with applications in physics and complex systems, as seen in studies of the free Bose gas, Widom-Rowlinson models, and the Vicsek model for collective motion. Zass also contributes to foundational aspects of Gibbs measures and their existence under unbounded interactions. His publications reflect expertise in stochastic geometry, cluster expansions, and path-space processes, often addressing existence and uniqueness theorems in probabilistic frameworks. While no awards are explicitly mentioned, his research activity spans over a decade with contributions to both theoretical and applied probability.

Bernd Pageمشاهده پروفایل

استاد

• Modeling
• Discrete simulation
• Environmental informatics
• +۳ مورد دیگر

Prof. Bernd Page is a Professor and group leader in the Department of Computer Science at the University of Hamburg, affiliated with the Faculty of Mathematics, Informatics and Natural Sciences (MIN). His work focuses on modeling, simulation, and environmental informatics with applications in logistics, business processes, and technology transfer. Research activities include the development of the DESMO-J Java-based simulation framework, integration into the Eclipse platform, and projects like SystOp Offshore Wind (optimizing offshore wind farm systems), Emission Trade Assistant (EU emissions trading tool), and agent-based logistics modeling for urban courier services. He collaborates internationally, including with the University of Canterbury (New Zealand), and actively contributes to funded initiatives such as TIDE (environmental data tools), ZAP (zooplankton forecasting), and MOBILE (logistics-environment modeling). Key Projects: DESMO-J: Object-oriented simulation framework in Java SystOp Offshore Wind: Planning optimization for offshore wind farms Technology transfer via HiTEC initiatives His work bridges academia and industry, with projects funded by BMBF, Volkswagen Foundation, and Hamburg Science Authority. He leads research groups and contributes to e-learning modules in applied computer science.

Manfred Kudlekمشاهده پروفایل

استاد

• Theoretical Computer Science
• Formal Languages
• Petri Nets
• +۸ مورد دیگر

Prof. Manfred Kudlek was a Professor of Theoretical Computer Science at the University of Hamburg (Department of Computer Science) from 1977 until his retirement in 2005. He held an honorary professorship at the University of Iași, Romania since 2002. His academic career began with studies in physics (Diploma: 1966; PhD: 1970), followed by research and teaching in computer science. He was deeply involved in the European Association for Theoretical Computer Science (EATCS), attending all ICALP conferences and contributing reports to the EATCS Bulletin. A special issue of Fundamenta Informaticae (2014) was dedicated to his memory, highlighting his research legacy in formal languages and concurrency theory. His research focused on foundational topics such as minimal Turing machines, Lindenmayer systems, Petri nets, and multiset automata. He also explored cross-disciplinary areas including numerical systems in indigenous languages and LaTeX encoding for non-Latin scripts. Manfred’s work emphasized international collaboration, particularly with Eastern European researchers, and he actively participated in global academic events until his death in 2012 during the Turing Centenary Conference in Cambridge, England. Survived by his wife and daughter, condolences were accepted via dedicated email and postal addresses managed by the university. Manfred held leadership roles including membership in the Departmental Council, Curriculum Planning Committees, and the Library Committee. His post-retirement activities remained prolific, maintaining teaching and research engagement until his sudden passing. Notable for his passion for travel and conferences, he left a legacy of over 211 scientific publications and 152 conference reports.

Navid Tavanapourمشاهده پروفایل

پژوهشگر

• Citizen Participation
• Urban Planning
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Navid Tavanapour is a researcher affiliated with the Department of Informatics at the University of Hamburg's Faculty of Mathematics, Informatics, and Natural Sciences. His work focuses on AI-driven systems for citizen participation in urban planning and collaborative innovation processes. He has contributed to the design of conversational agents, mobile applications, and platforms that enhance civic engagement and organizational creativity. His research spans topics such as automated facilitation tools, human-AI collaboration, and participatory democracy mechanisms. Key areas include the analysis of citizen inputs, multi-modal idea generation systems, and gamification in collaborative writing. He has explored both theoretical frameworks and practical implementations of these technologies. Tavanapour's work emphasizes the intersection of technology and societal needs, particularly in urban contexts. His studies often involve empirical evaluations of AI systems in real-world settings, such as workshops and digital platforms.

Alf Kimmsمشاهده پروفایل

استاد

• Operations Research
• Logistics and Supply Chain Management
• Revenue Management
• +۶ مورد دیگر

Prof. Alf Kimms is a full professor at the University of Duisburg-Essen, holding the chair of Logistics and Traffic Management. He previously served as a full professor at the Technical University of Freiberg (2001–2006). His research focuses on applying operations research methods to logistics, supply chain optimization, revenue management, and evacuation planning. He earned his Ph.D. in Business Administration from the University of Kiel (1996) and his postdoctoral lecturer qualification (2001), both focusing on project management and production scheduling. Kimms' academic career is marked by contributions to high-impact journals such as European Journal of Operational Research and Annals of Operations Research . He has led projects for companies like Bayer, Lufthansa, and DaimlerChrysler, emphasizing practical applications of optimization. A 2005 Handelsblatt ranking placed him among Germany’s top ten business administration professors. He actively participates in professional societies, including the German OR Society (GOR), where he founded the Revenue Management working group. His research spans network design, disaster response logistics, cooperative game theory, and airline alliance strategies. Notable projects include evacuation modeling for urban areas and revenue management frameworks for broadcasting industries. Kimms reviews for the German Research Foundation (DFG) and serves on international conference committees, balancing academic rigor with industry collaboration.

Fabian Mohnمشاهده پروفایل

پژوهشگر

• Magnetic Particle Imaging (MPI)
• Inductive Sensors
• Circuit Design
• +۳ مورد دیگر

Dr.-Ing. Fabian Mohn is affiliated with Technische Universität Hamburg (TUHH) and the Universitätsklinikum Hamburg-Eppendorf (UKE), working in the Institute for Biomedical Imaging. He completed his PhD in 2024 on instrumentation and applications of magnetic particles in imaging and spectroscopy. His research focuses on Magnetic Particle Imaging (MPI), inductive sensors, circuit design, and magneto-mechanical resonators. He has contributed to advancements in MPI hardware, including resonant inductive coupling networks and real-time 3D imaging systems. His work emphasizes clinical translation, such as evaluating tracers like Resotran for MPI and developing applications like gastrointestinal bleeding detection. Mohn collaborates on multi-disciplinary projects, including thermal stabilization of circuits and single-shot magnetic field measurements, published in journals like Physics in Medicine & Biology and IEEE Transactions on Medical Imaging .

Annemarie Borgمشاهده پروفایل

استادیار

• Nonmonotonic Logic
• Formal Argumentation
• Defeasible Reasoning
• +۳ مورد دیگر

Annemarie Borg is an Assistant Professor in the Responsible AI Group at the Department of Information and Computing Sciences, Utrecht University. She maintains an affiliated research position with the Research Group for Nonmonotonic Logic and Formal Argumentation at Ruhr University Bochum, where she completed her PhD. Her core research investigates defeasible reasoning through formal argumentation frameworks, emphasizing computational models of scientific inquiry and explainable AI systems. Borg's research spans: Nonmonotonic Logic : Modeling human-like reasoning under uncertainty. Formal Argumentation : Theoretical foundations for structured and abstract argumentation frameworks. Agent-Based Modeling : Simulating scientific communities and inquiry efficiency. Explainable AI : Developing transparent decision systems for real-world applications (e.g., Dutch National Police). Her publications focus on hypersequent-based argumentation, stability estimation in dynamic systems, and MCS (maximal consistent subsets) reasoning. Recent work emphasizes practical AI explainability, with theoretical rigor in logic design and computational efficiency. No awards, grants, or supervised students are documented in available sources. She collaborates with the Responsible AI Group at Utrecht, focusing on ethically aligned computational systems. Her future directions likely involve refining argumentation-based explanation frameworks for high-stakes AI applications.