Find Academic Supervisors

• Computer Science
• Databases
• Distributed Systems
• +4 more

Shahram Ghandeharizadeh is a Professor at the University of Southern California , specializing in Computer Science with a focus on databases, distributed systems, and multimedia. His research spans caching middleware, flying light specks for 3D displays, and swarm robotics. Recent work includes CAMP (cache eviction policies), Disaggregated Database Management Systems , and Flight Patterns for Swarms of Drones , reflecting his expertise in data management and swarm-based technologies. He has collaborated extensively with researchers like Hamed Alimohammadzadeh and Hieu Nguyen . His scientific awards include the ACM Software System Award (2008) , recognizing long-term contributions to software systems. Publications since 2021 highlight advancements in cache management, graph databases, and swarm robotics, with a strong emphasis on non-volatile memory and decentralized frameworks.

• Cognitive Science
• Behavioral Science
• Language Acquisition
• +7 more

Dr. Ansgar Endress is a Senior Lecturer in the Department of Psychology at City, University of London, within the School of Health Sciences. He is a behavioral scientist with extensive research experience in cognitive science, language acquisition, memory, and statistical learning. Dr. Endress trained as a generalist engineer at École Polytechnique and earned his doctorate in Cognitive Science from the École des Hautes Études en Sciences Sociales. Prior to joining City, he held research positions at the International School for Advanced Studies, Harvard University, MIT, and Universitat Pompeu Fabra in Barcelona. His research focuses on how simple psychological mechanisms shared across species shape uniquely human traits like language. His work spans from evolutionary behavioral science to language acquisition, perception, memory, and social behavior, using behavioral assays, statistical techniques, and computational models. He has worked with non-human primates, human infants, and adults. His recent publications reveal a strong trend in computational and theoretical cognitive science, particularly in statistical learning, neural entrainment, memory dynamics, and language acquisition. His work often challenges or refines existing theories by proposing memory-less or Hebbian mechanisms as alternatives to declarative memory models. Hebbian learning and neural entrainment Statistical learning and memory dissociation Language acquisition mechanisms Perceptual and cognitive development Evolutionary psychology Computational modeling of cognition Dr. Endress has not listed any scientific awards in the provided text. He collaborates with researchers such as S.P. Johnson, M. de Seyssel, and L.L. Bonatti. His work involves significant grant-funded research, though specific grants are not mentioned. He advises students in cognitive science and psychology, though specific names are not provided. He maintains an active research lab focused on behavioral and cognitive experiments, utilizing computational models and empirical data from infants and adults. His team investigates the foundational mechanisms of learning and cognition, often bridging human and non-human primate studies.

• Biomechanics
• Ecophysiology
• Functional morphology
• +1 more

Dr. Cristian L. Klunk is an active researcher at the Department of Biology, Technical University of Darmstadt , focusing on the biomechanics and functional morphology of ant mandibles. His work bridges ecology, evolutionary biology, and insect physiology, with a particular emphasis on how morphological traits influence mechanical performance.

• Database Systems
• Stream Processing
• Data Management
• +3 more

Stanley B. Zdonik is a Professor at Brown University , Providence, USA. His research focuses on Database Systems , Stream Processing , and Data Management , with recent work addressing challenges in Observability , Encrypted Databases , and Time-Series Anomaly Detection . He has contributed to systems like Borealis, C-Store, and SciDB, emphasizing scalability and real-time processing. Key themes in his work include Stream-Oriented Query Languages , High-Frequency Telemetry , and Transactional Systems . His 15 most recent publications span topics in Polystore Architectures , Database Encryption , and Interactive Data Exploration , reflecting a career-long commitment to advancing database theory and practice. As a principal investigator, Zdonik has collaborated with leading researchers like Michael Stonebraker , Nesime Tatbul , and Ugur Çetintemel . His work often intersects with Distributed Systems , Uncertainty Modeling , and Performance Optimization .

• Database Systems
• Data Stream Processing
• Uncertain Data Management
• +4 more

Tingjian Ge is an academic researcher with a focus on database systems, graph stream processing, and uncertain data management. His work spans theoretical foundations and practical implementations in data science, with a career trajectory showing increasing specialization in real-time network analytics and secure data processing. PhD from Brown University (2009) Active in top-tier venues: ICDE, KDD, VLDB, WWW Research Interests include: Approximate query processing under resource constraints Graph stream modeling and edge shedding techniques Security and privacy in data systems Temporal network analysis and predictive modeling Optimization of multi-core and cloud-based query execution Scientific Contributions demonstrate expertise in: Developing sketch data structures for graph streams Creating fairness-aware prediction frameworks Advancing differential privacy mechanisms Designing efficient temporal subgraph algorithms

Amin TimanyView profile

Associate Professor

• Programming Languages
• Formal Methods
• Type Theory
• +3 more

Amin Timany serves as an Associate Professor in the Department of Computer Science at Aarhus University, Denmark. His research focuses on foundational aspects of programming languages and formal verification systems, with particular expertise in logical frameworks for program correctness. His primary research interests span: Programming Languages Theory Formal Methods and Verification Type Systems and Type Soundness Separation Logic for Concurrency Logical Relations and Denotational Semantics Mechanized Proof Systems Analysis of Timany's recent publications (2022-2025) reveals a strong emphasis on separation logic extensions for distributed systems, guarded recursion techniques, and type soundness proofs. His work frequently bridges theoretical foundations with practical verification challenges, particularly in capability-based security and CRDT verification. The publications demonstrate consistent contributions to top venues including POPL, PLDI, and CPP. Timany actively participates in academic service, having served as conference chair for CPP 2025. His research involves significant collaboration with international teams, particularly with researchers at Aarhus University and other European institutions. The publication record shows steady output with 40+ research items, including 2 PhD supervisions noted in his profile.

Stephen LisbergerView profile

Professor

• Neurobiology
• Motor Learning
• Eye Movement Control
• +4 more

Stephen Lisberger is the George Barth Geller Distinguished Professor for Research in Neurobiology and Professor of Neurobiology at Duke University School of Medicine, where he also serves as Chair of the Department of Neurobiology. He is a Faculty Network Member of the Duke Institute for Brain Sciences. His research focuses on understanding how the brain learns motor skills and uses visual information to guide movement, primarily through studies of eye movements in non-human primates. Lisberger earned his Ph.D. from the University of Washington in 1976. His academic journey has been dedicated to unraveling the neural mechanisms underlying sensory-motor integration and motor learning. Dr. Lisberger's research investigates how the brain learns motor skills and uses visual information to guide movement. His laboratory primarily studies smooth pursuit eye movements in behaving non-human primates, using a combination of behavioral analysis, neural recordings, and computational modeling. His work has revealed fundamental principles about how neural circuits transform sensory representations into motor commands, with particular focus on the role of the cerebellum in motor learning. He has made significant discoveries about how the brain handles "noise" in neural signals and how this relates to behavioral variation. Lisberger's recent publications demonstrate a continued focus on neural circuit mechanisms for motor control, particularly in the cerebellum. His work bridges computational neuroscience with experimental approaches, examining how population dynamics and neural coding strategies support sensory-motor transformations. A recurring theme is understanding how neural plasticity translates into behavioral learning, with implications for both basic neuroscience and potential clinical applications in movement disorders. Dr. Lisberger has received numerous prestigious honors throughout his career: Elected Member of the National Academy of Sciences (2022) Fellow of the American Association for the Advancement of Science (2021) Elected Member of the American Academy of Arts and Sciences (2008) Howard Hughes Medical Institute Investigator/Alumni Investigator (1997) Young Investigator Prize from the Society for Neuroscience (1986) Lisberger has secured substantial research funding throughout his career, with current grants including "Neurobiology Training Program" (2024-2029) and "Neural mechanisms of visual-motor control in smooth pursuit eye movement" (2023-2028). His laboratory has trained numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience. Although his experimental primate laboratory is scheduled to close in mid-2025 due to challenges of maintaining a small non-human primate facility, his theoretical and computational work continues to advance the field. The Lisberger Lab has been a hub for innovative research on sensory-motor integration, bringing together neuroscientists, computational modelers, and engineers to tackle fundamental questions about how the brain controls movement. While the primate laboratory is closing in 2025, the collaborative spirit of the lab continues through ongoing computational work and analysis of existing datasets.

Juraj ZajoncView profile

Lecturer

• textile culture
• traditional artistic expression
• cultural heritage
• +3 more

Juraj Zajonc is a researcher at the Institute of Ethnology of the Slovak Academy of Sciences (Ústav etnológie SAV) in Bratislava, Slovakia, specializing in textile culture, traditional artistic expression, and cultural heritage. He holds a PhDr. degree (1989) and CSc. degree (1997), and has been with the institute since 1988. In addition to his research work, he has lectured at the Academy of Fine Arts and Design in Bratislava on textile history and techniques from 1995 to 2015. His educational background includes studies at the Department of Ethnography and Folklore Studies, Faculty of Arts, Comenius University in Bratislava (1983-1987). He is proficient in Russian and German languages. Zajonc's research focuses on textile culture, traditional artistic expression, and cultural heritage, with particular attention to historical textile production techniques, holiday traditions, and the documentation of material culture. His work often involves interdisciplinary approaches combining ethnology, archaeology, and historical research to understand traditional practices and their evolution. His publications reveal a consistent interest in reconstructing historical textile techniques, analyzing holiday rituals, and documenting cultural heritage through both traditional and digital means. He has led and participated in numerous research projects funded by VEGA and other programs, exploring topics such as traditional textile production, holiday rituals, and cultural heritage preservation. His research has significant implications for understanding how traditional knowledge is transmitted and transformed across generations, particularly in Central European contexts. 2014: Prize of the Slovak Ethnological Society for publication (2011-2013) 2013: Literary Fund Prize for scientific literature 2013: Prize of the Slovak Academy of Sciences for science popularization 2001: Literary Fund Prize and Prize of the Slovak Academy of Sciences 1997: International Prize for Ethnological and Anthropological Studies Guiseppe Pitré Zajonc has supervised numerous research projects and has been actively involved in creating electronic databases and encyclopedias documenting traditional folk culture. His work bridges academic research with practical applications in cultural heritage preservation and education, particularly through his contributions to the 'Traditional Folk Culture in Words and Images' electronic encyclopedia. He has also made significant contributions to understanding how traditional knowledge is transmitted and transformed across generations, with particular attention to the material aspects of cultural heritage.

• Distributed Systems
• AI/ML Systems
• Databases
• +7 more

Paolo Romano is a Senior Researcher at the Distributed Systems Group, INESC-ID, and an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Portugal. He holds a PhD in Computer Engineering (2007) and has contributed extensively to research in distributed systems, transactional memory, and autonomic computing. PhD in Computer Engineering, Sapienza Rome University (2007) Master Degree in Computer Engineering, University of Rome Tor Vergata (2002), Summa Cum Laude Certificate of Advanced English, Cambridge University (1997) His research interests span: Dependable Distributed Systems: Fault-tolerance in multi-tier systems, formal verification of distributed protocols, and reliable AI systems. Parallel/Distributed/High-Performance Computing: Transactional memory, GPU programming, and efficient AI/ML systems. Autonomic Systems: Self-optimization of complex systems and adaptive concurrency control schemes. Performance Modeling: Machine-learning-based prediction for complex systems and QoS in cloud platforms. Scientific accolades include: Best Paper Award at ICAC 2014, ICDCS 2012, and NETYS 2013 Best Paper Awards at IEEE Symposium on NCA 2008 and 2007 Best INESC-ID Young Researcher (2011) Distinguished Member, INSTICC He has supervised numerous PhD and MSc students, including current advisees Maria Casimiro, Daniel Castro, and Shady Alaa. Former students include Shady Issa (PostDoc at INESC-ID), Nuno Diegues (Software Engineer at Feedzai), and Diego Didona (PostDoc at EPFL). His research is supported by projects like ARISTOS, Cloud-TM, and Euro-TM, with total funding exceeding 2.4 million euros. Paolo Romano is affiliated with the Distributed Systems Group at INESC-ID, a research laboratory associated with IST, Universidade Técnica de Lisboa.

• Aquatic Ecology
• Biofilm Dynamics
• Microbial Interactions
• +5 more

Anna Maria Romani Cornet is a Professor in the Department of Environmental Sciences at the University of Girona , where she leads the Aquatic Ecology Research Group (EcoAqua) and participates in the Institute of Aquatic Ecology . Her work bridges Ecology , Biogeochemistry , and Climate Change Research , with a focus on microbial processes in aquatic and terrestrial systems. Her research explores biofilm dynamics across Mediterranean rivers , hypersaline lakes , high-mountain acidic rivers , and soils . Key areas include Microbial interactions in organic matter cycling Climate change impacts on ecosystem function Hydrological intermittency effects Biogeochemical responses to stressors Recent publications highlight her work on aridity-driven soil functions , light-dark regulation of biofilm nutrient uptake , and microbial adaptation to extreme environments . Her 2025 article Women, Water, and the Climate Emergency integrates ecofeminism with scientific research , emphasizing societal engagement. She mentors extensively, having supervised 9 PhD students 12 MSc theses 7 postdoctoral researchers and regularly hosts Erasmus students . Her administrative roles include past Vice-Dean for International Relations and coordination of the Doctoral Program in Water Science and Technology .

• Signal Processing
• Image Processing
• Bayesian Inference
• +3 more

Audrey Giremus is a Professor at the Institut de Mécanique et d'Ingénierie de Bordeaux (IMS Bordeaux) , affiliated with the Signal and Image Processing research group (SPECTRAL team). Her work bridges signal processing, statistical modeling, and interdisciplinary applications in environmental science and biomedical engineering. Key affiliations: IMS Bordeaux, BRGM (Bureau de Recherches Géologiques et Minières), CNRS (Centre National de la Recherche Scientifique) Collaborations: STMicroelectronics, Stellantis, Thales, CEA, Slb Research Interests focus on: Advanced signal/image processing algorithms Bayesian inference and particle filtering Applications in GPS navigation, fuel cells, and material science Statistical methods for high-dimensional data Thermal source localization and acousto-thermal coupling Coastal erosion detection using Markov chains Recent publications demonstrate expertise in GPS interference compensation , fuel cell degradation modeling , and biomarker validation . Collaborative projects with institutions like BRGM and CEA highlight her cross-disciplinary impact. Grants/Projects include: PEPR Risks (IRiMa) - CNRS OneWater PEPR - CNRS Technical platforms mentioned: Accelerated Aging Nanocomponent Testing (ATLAS, Cacyssee) Thermal Analysis (Elorga, Tamis) Terahertz and Organic Electronics

Tomer WolfsonView profile

Research Fellow

• Natural Language Processing
• Data Management
• Question Answering
• +3 more

Tomer Wolfson is a Postdoctoral Research Fellow at the University of Pennsylvania and a member of the Cognitive Computation Group led by Prof. Dan Roth. He is also a CHE Postdoctoral Fellow for AI and Data Science, focusing on the intersection of Data Management and Natural Language Processing. PhD from Tel Aviv University (2019-2024), advised by Prof. Daniel Deutch and Prof. Jonathan Berant Research intern at Allen Institute for AI (2019-2024) BSc and MSc in computer science from Tel Aviv University Wolfson's research focuses on developing algorithms for understanding and reasoning over complex questions spanning hundreds of documents. His work includes creating benchmarks like MoNaCo and QAMPARI, analyzing language model reasoning paths, and improving retrieval-augmented generation systems. Key contributions include: MoNaCo: A benchmark for multi-document reasoning QAMPARI: Open-domain QA benchmark with multi-answer evaluation Break It Down: Question understanding benchmark Weakly supervised Text-to-SQL parsing systems His work combines natural language processing, machine learning, and database systems to enhance automated reasoning capabilities. Wolfson has received recognition for his contributions to retrieval-augmented language models and parametric knowledge analysis. Scientific awards include: CHE Postdoctoral Fellow for AI and Data Science Wolfson has served as a lecturer at Tel Aviv University for "Web Data Management & Information Retrieval" (2021-2022) and as a teaching assistant for "Web Data Management" (2018-2020). He is currently affiliated with the Cognitive Computation Group at the University of Pennsylvania.

Despina ChatzivasiliouView profile

Researcher

• Classical Archaeology
• Religion in Greco-Roman Antiquity
• Urbanization in Ancient Greece
• +3 more

Dr. Despina Chatzivasiliou serves as a Research Engineer at Collège de France 's Institut des civilisations since 2019. She contributes to four statutory chairs: Religion, History and Society in the Ancient Greek World; Techniques and Economies of the Ancient Mediterranean; Written Culture of Late Antiquity and Byzantine Papyrology; and Law, Culture and Society of Ancient Rome. Her work integrates archaeological, historical, and philological approaches to Greco-Roman antiquity. PhD in Archaeology from Université libre de Bruxelles (2013) Specializes in the interplay between religion, urbanization, and political structures in archaic Greece Co-author of systematic inventories of Greco-Roman cultic spaces Her research focuses on ritual landscapes and territorial structuring through religious practices. She investigates how sacred spaces like the Pelargikon in Athens served as symbolic boundaries shaping collective identity. Her recent projects examine the dynamics of ancient cities beyond static museum representations, emphasizing their evolving character through epigraphic, architectural, and mythological sources. Dr. Chatzivasiliou's 15 most recent publications (2011-2020) span topics from archaic sanctuary organization in Attica to comparative analyses of Mediterranean religious landscapes. She maintains active collaborations with institutions like the French School at Athens and contributes to academic journals including Kernos and Anabases . Professional activities include: Teaching at EPHE (2014-2016) Editorial work for French archaeological missions Co-creation of the Archaeological Museum in Galaxidi Contribution to Collège de France's Mondes méditerranéens anciens digital series

• Distributed Systems
• Cloud Computing
• Tail Latency Optimization
• +3 more

Timothy Zhu is an Associate Professor in Computer Science and Engineering, focusing on distributed systems and cloud computing technologies. His research explores tail latency optimization, resource management in heterogeneous environments, and sustainable computing practices. Current PI for NSF DESC : Extending machine lifetimes to repurpose e-waste Lead investigator for NSF CAREER : Auto-generated experimentation for performance diagnosis Principal Investigator for NSF CNS Core : Tail latency reduction through system heterogeneity Research trends show emphasis on: Latency Management : Tail latency SLOs, admission control, and performance profiling Cloud Efficiency : Autoscaling algorithms, workload characterization, and cost optimization Hardware-aware Systems : DNN performance estimation, SmartNIC utilization, and heterogeneous server architectures Collaborative efforts span institutions including: Co-authorships with researchers at Carnegie Mellon University (CMU) Joint projects with Pennsylvania State University (Penn State) collaborators like Anand Sivasubramaniam

Kerstin SchwedesView profile

Researcher

• Digital Humanities
• Educational Media Research
• Cultural Identity
• +3 more

Kerstin Schwedes is a researcher at the Georg-Eckert-Institut (GEI) - Leibniz Institute for Educational Media. Since 2023, she has led the Global Textbook Resource Center (GLOTREC), integrating digital educational media for international research. She has served as GEI's elected Ombudsperson (2016-2022, re-elected in 2025) and contributes to the editorial board of the Journal of Educational Media, Memory and Society . Education: Studied art history, history, and German literature Doctorate from Technische Universität Braunschweig (1996) Dorothea Erxleben scholarship holder (1997-2002) Her research focuses on inter- and transdisciplinary educational media, digital humanities, and historical representations of Europeanness. She specializes in textbook analysis, cultural memory, and knowledge transfer methodologies, particularly in 19th-20th century contexts. Kerstin's recent publications emphasize comparative textbook narratives about the First World War and digital infrastructures for educational media. She organizes academic workshops and conferences on digitization, cultural heritage, and interdisciplinary collaboration. Her work bridges art history, educational research, and transnational identity studies through projects like EurViews and WorldViews .