Find Academic Supervisors

• Database Systems
• Stream Processing
• Internet of Things (IoT)
• +7 more

Steffen Zeuch is a researcher at Humboldt University of Berlin, Germany, with a strong research focus on database systems, stream processing, and Internet of Things (IoT) data management. He is a key contributor to the NebulaStream platform, an extensible, high-performance system for multi-modal edge applications. His work spans query optimization, GPU acceleration, fault tolerance, and distributed state management in stream processing environments. Research interests include database systems, stream processing, IoT data management, query optimization, GPU computing, and hardware-aware execution. His research addresses challenges in real-time analytics, efficient data placement, adaptive compilation, and complex event processing in distributed and edge environments. The publication trends in his recent articles highlight a consistent focus on stream processing systems—especially NebulaStream—with increasing attention to GPU acceleration, adaptive optimization, fault tolerance, and complex event processing. His work bridges theoretical query optimization with practical system implementation, emphasizing performance, scalability, and deployment in real-world IoT and edge infrastructures. Steffen Zeuch has made significant contributions to top-tier venues such as VLDB, SIGMOD, EDBT, and DEBS. His collaborative work, primarily with Volker Markl and other members of the database group at Humboldt University, demonstrates strong research leadership and technical depth in data-intensive systems. He has led and contributed to projects involving system design, performance benchmarking, and real-world deployment of stream processing platforms. His work on tutorials and system demonstrations indicates active engagement in community education and dissemination. While no specific lab or team name is mentioned, his research is centered around the NebulaStream project, a comprehensive platform for managing and analyzing data across fog, edge, and cloud environments. This platform supports complex analytics beyond traditional cloud boundaries, enabling scalable and efficient IoT applications.

Emmanuel MELINView profile

Lecturer

• Parallel Computing
• Virtual Reality
• Scientific Visualization
• +5 more

Emmanuel MELIN is a Lecturer at the University of Orléans, affiliated with the PaMDA team at LIFO (Laboratory of Fundamental Computer Science of Orléans). He teaches primarily at the IUT (University Institute of Technology) of Computer Science in Orléans. His research focuses on parallel computing, virtual reality, and scientific visualization using PC clusters and distributed architectures. Research Interests: His work spans parallel algorithms for geospatial processing, high-performance computing for environmental simulations, and distributed virtual reality systems. He has contributed to large-scale VR frameworks and open-source software like FlowVR, NetJuggler, and SoftGenLock. Publications: Dr. MELIN has authored 31 HAL publications, with 15 most recent covering GPU-accelerated finite element methods, tele-immersive grids, distributed application mapping, and geospatial data processing. His work intersects computer science, environmental modeling, and 3D rendering. Labs & Collaborations: He collaborates with INRIA and has participated in projects like RNTL Geobench, ANR DALIA, and Extengis. His software tools are available as open-source projects.

Divyakant AgrawalView profile

Professor

• Big Data
• Cloud Computing
• Distributed Systems
• +5 more

Divyakant Agrawal is a Distinguished Professor and Chair of the Computer Science Department at the University of California, Santa Barbara (UCSB). He holds a PhD from SUNY Stony Brook and a BS from Birla Institute of Technology and Science. His research focuses on large-scale distributed systems, cloud data management, and database security, with notable contributions to geo-replicated data, privacy-preserving techniques, and social network analysis. Agrawal has led NSF-funded projects on data summarization, hardware acceleration, and wireless sensor networks. He served as VP of Data Solutions at ASK.com and as a visiting senior researcher at NEC Laboratories and the University of Hong Kong. Education: PhD (Computer Science, SUNY Stony Brook), BS (Electrical Engineering, BITS Pilani). Leadership Roles: Chair of UCSB Computer Science Department (1999–2003), Visiting Professorships at National University of Singapore and University of Hong Kong. His research spans distributed algorithms, database concurrency control, and privacy in cloud systems. Key areas include transaction processing, data stream operators, and fraud detection in advertising networks. Agrawal has authored over 300 papers and co-edited journals like the VLDB. He is a Fellow of IEEE, ACM, and AAAS, and has received awards such as the Outstanding Graduate Mentor from UCSB (2011). Professional Contributions: Served on program committees for SIGMOD, VLDB, and IEEE conferences; led editorial roles for Distributed and Parallel Databases and the VLDB Journal. His work on systems like G-Store (cloud data retrieval) and Zephyr (elastic databases) showcases innovations in scalability and autonomy.

• Sustainable Orchestration in Edge-Cloud Environments
• Multi-Cloud Workload Distribution
• Large Language Models (LLMs) Deployment
• +3 more

Dr. Hadi Tabatabaee Malazi is an Assistant Professor at the University of College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). He holds an Orcid identifier (0000-0002-2960-6896) and has extensive academic experience across institutions like Maynooth University, Shahid Beheshti University, and Trinity College Dublin. His research focuses on sustainable computing, edge-cloud continuum orchestration, AI/ML deployment (e.g., LLMs), and energy efficiency. He is a Senior Member of IEEE, serves as an Associate Editor for IEEE Access, and chairs the COST Action CA22151 (CYPHER) on decarbonizing energy-intensive industries. Education: PhD (2012): University of Isfahan (Computer Engineering) MSc (prior to 2012): University of Isfahan Research Visit (2010-2011): Delft University of Technology Research Interests: Sustainable edge-cloud systems, AI-driven workload optimization, carbon-aware resource management, distributed LLMs, and IoT interoperability. Key contributions include over 20 journal articles in IEEE, Elsevier, and Springer venues, with topics ranging from vehicular network security to smart city event processing. Professional Activities: Committee member of COST Action CA22151, IEEE Access Associate Editor, and Technical Program Committee member for IEEE conferences. Authored certifications on research leadership and research integrity from Epigeum. Labs/Teams: SOC² Lab (UCD), leading projects on edge-cloud sustainability and AI application deployment.

• Geomorphology
• Environmental Systems
• Natural Hazards Analysis
• +5 more

Dr. Rainer Bell is a Researcher in the Department of Geography at the University of Bonn, affiliated with the Research Group 'Geomorphology and Environmental Systems'. He focuses on natural hazard analysis, geomorphology, and remote sensing applications. His work addresses landslides, floods, permafrost dynamics, and climate change impacts. Dr. Bell has held academic roles at multiple institutions, including part-time positions at the University of Innsbruck. He contributes to disaster risk governance through teaching and interdisciplinary projects like 'touRES' (tourism resilience in the Himalayas) and 'ILEWS' (integrated landslide early warning systems). Education: PhD in Geography (2007, University of Bonn); Diplom in Geography, Geology, and Soil Science (2002, University of Bonn). Earlier studies at Universities of Cologne and Bonn (1996–1998). Research Interests: Integrative natural hazard analysis, cascading risks, landslide susceptibility modeling, GIS applications, and mountain geohazards. Current projects include post-flood geomorphology in Germany's Ahr Valley and permafrost studies in the Andes. Teaching: GIS courses, geomorphology, Earth System Science, and field courses in Nepal, Romania, and the European Alps. Involvement in the Master of Disaster Management program at University of Bonn and BBK. Labs/Teams: Active in the Schrott Research Group, focusing on geomorphic processes and environmental systems. Collaborates with institutions like the Norwegian Geotechnical Institute and the Austrian Academy of Sciences.

Kevin VerbeekView profile

Assistant Professor

• Computational Geometry
• Graph Drawing
• Information Visualization
• +3 more

Kevin Verbeek is an Assistant Professor in the Applied Geometric Algorithms group at Eindhoven University of Technology (TU/e), affiliated with the EAISI Foundational research institute. His research focuses on computational geometry, information visualization, and algorithms for cartographic challenges. He holds a PhD from TU/e (2012) and conducted postdoctoral research at UC Santa Barbara (2012–2014). He coordinates the TU/e Honors Academy's 'Competitive Programming and Problem Solving' track and is a member of the Eindhoven Young Academy of Engineering. Education: PhD in Applied Geometric Algorithms, TU Eindhoven (2012) Postdoctoral Researcher, UC Santa Barbara (2012–2014) Research Interests: Algorithmic stability for dynamic data visualization Geometric algorithms for social networks and cartography Topological data analysis and computational topology Braided river network modeling Key Projects: NWO Veni Award-funded project on stable geometric algorithms (2015–present) GLAMMap: Interactive geo-visualization for cultural heritage metadata Teaching & Outreach: Coordinator of Honors tracks in Competitive Programming Instructor for courses like 'Heuristic Algorithms' and 'Computer Science Research Project' Awards: NWO Veni Award for 'Stable Geometric Algorithms' (2015) Labs/Teams: Active in EAISI Foundational, focusing on algorithmic spatial data analysis and foundational AI research.

Semih EserView profile

Professor

• Carbon materials from petroleum and coal
• Carbon deposition on metal surfaces
• Preparation of activated carbons
• +3 more

Semih Eser , Professor of Energy and Geo-Environmental Engineering , is affiliated with the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He serves as Director of the Carbon Materials Program at the EMS Energy Institute and holds editorial roles at multiple journals. Education : Ph.D. in Fuel Science (1986), M.S./B.S. in Chemical Engineering (1978/1976) from Middle East Technical University. His research focuses on carbon materials from petroleum and coal, including: Mesophase formation for needle coke production Activated carbon preparation and adsorption properties Catalytic oxidation of solid carbons Mechanistic analysis of carbon deposition Supercritical hydrogenation of heavy residua Microscopy/image analysis of carbon microstructure Recent publications examine carbon characterization via temperature-programmed oxidation and microscopy, activated carbon synthesis from bio-precursors, and catalyst design for hydrodechlorination. Themes span Energy Science , Environmental Engineering , and Materials Chemistry . Scientific Honors : ACS Fellow (2014) Fulbright Scholar (2014) Multiple ACS Division Awards (2005–2023) Wilson Award for Teaching (2001) As undergraduate program chair and former associate head, he has developed innovative teaching methods including problem-based learning, concept mapping, and computational tools for energy education.

• Watershed Hydrology
• Surface Water-Groundwater Interactions
• Biogeochemistry
• +4 more

Dr. Anna Bergstrom is an Assistant Professor in the Department of Geosciences at Boise State University. Her research focuses on watershed hydrology, biogeochemistry, glaciology, and landscape change impacts on water resources. She holds a Ph.D. from the University of Colorado (2020), an M.S. from the University of Montana (2015), and a B.S. from Montana State University (2011). Her work combines field, laboratory, and modeling approaches to study rapidly changing environments, including glaciers and alpine watersheds in Antarctica and Alaska. Teaching responsibilities include courses in Hydrogeology (GEOS/CVEN 412/512), Aqueous Geochemistry (GEOS/CVEN 426/526), and Field Methods in Hydrology (GEOS 626). She leads the Bergstrom Watershed Biogeochemistry Lab , which emphasizes multidisciplinary collaboration to address hydrological and biogeochemical processes in dynamic landscapes. Current research projects explore glacier-sediment interactions, snowmelt contributions to streamflow, and nutrient cycling in polar environments. Student opportunities are available for motivated researchers; contact her via email at annabergstrom@boisestate.edu or visit her lab website. She is affiliated with the Institute of Arctic and Alpine Research (INSTAAR) and the McMurdo Dry Valleys LTER. Office: ERB 4155, Boise State University.

Bartosz GrudzinskiView profile

Associate Professor

• Fluvial Geomorphology
• Aquatic Ecology
• Hydrology
• +4 more

Bartosz Grudzinski is an Associate Professor at Miami University, serving as Director of the Center for Aquatic and Watershed Sciences. He holds affiliate faculty positions in the Department of Geography and Department of Geology and Environmental Earth Science, and participates in the Miami Ecological Big Data Initiative. His research focuses on fluvial geomorphology, aquatic ecology, and hydrology, with an emphasis on human-environment interactions and land use impacts on aquatic systems. Grudzinski investigates how anthropogenic activities alter fluvial ecosystems and identifies mechanisms for ecosystem restoration through best management practices. Education: Ph.D. Geography (Kansas State University, 2014), M.S. Geography (Northern Illinois University, 2010), B.S. Geography (Eastern Illinois University, 2008). Research interests include watershed processes, stream conservation, and the effects of grazing, beaver activity, and land cover changes on water quality. His recent work explores beaver dam impacts across biomes and the environmental effects of riparian fencing in agricultural landscapes. Grudzinski’s teaching spans courses such as Hydrogeography (GEO 425) and Watershed Management (GEO 426). His publications emphasize interdisciplinary approaches to understanding human-driven environmental change, with a focus on practical conservation solutions.

Yan HuangView profile

Professor

• Spatio-Temporal Databases
• Geo-Stream Data Processing
• Smart Transportation
• +3 more

Yan Huang is a Regents Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT). She holds ACM Distinguished Member and UNT Decker Scholar titles. Her roles include Associate Dean for Research and Graduate Studies (2016-2019), Interim Dean of the College of Engineering (2018), Senior Associate Dean (2019-2021), and Interim Chair of Computer Science and Engineering (2020-2021). She has served as a visiting scholar at Microsoft Research Asia and Fudan University. Education: B.S. in Computer Science from Peking University (1997) and Ph.D. in Computer Science from the University of Minnesota (2003). Research interests focus on spatio-temporal databases, geo-stream data processing, smart transportation, and location-based social networks. Her work is funded by NSF, DoD, Texas Department of Transportation, and Oak Ridge National Lab. Notable achievements include a $3.76M grant from the Army Research Lab (2023). Key awards include the Best Paper Award at IEEE IRI 2023 (student work) and recognition as a Regents Professor (2021). She advises multiple Ph.D. students and oversees a lab (DP F205).

• Hydrogeology
• Groundwater Hydrology
• Environmental Engineering
• +3 more

Dr. Gabriel Rau is a Senior Lecturer at the University of Newcastle's School of Environmental and Life Sciences. He holds a PhD from the University of New South Wales and a Master's in Environmental Engineering from Universitat Stuttgart. His expertise spans geo-environmental science, hydrogeology, and advanced data analysis using Python. Rau's research focuses on subsurface processes, groundwater flow dynamics, and sustainable resource management. Education: Doctor of Philosophy (PhD), University of New South Wales Master of Environmental Engineering, Universitat Stuttgart Research Interests: Quantification of subsurface processes in coastal and arid environments Heat and solute transport in porous media Impact of climate change on groundwater systems Application of geophysical and numerical methods for hydrogeological analysis Collaborations and Grants: International projects with institutions like Karlsruhe Institute of Technology (KIT) and the University of New South Wales Focus on interdisciplinary approaches to hydrogeological challenges Development of novel analytical techniques for tidal and thermal groundwater responses Labs/Teams: Active in the University of Newcastle's hydrogeology research group, leading experimental and field-based studies.

Umakishore RamachandranView profile

Professor

• Distributed Systems
• Edge Computing
• Sensor Networks
• +5 more

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

Dave AndersenView profile

Associate Professor

• Computer Systems
• Distributed Systems
• Networked Environments
• +12 more

Dave Andersen is an Associate Professor at the School of Computer Science, Carnegie Mellon University , with research focusing on memory and power-efficient computing, robust distributed systems, and networked environments. He also serves as CTO of Enriched Ag . Education: Ph.D. and M.S. in Computer Science from MIT (2001, 2004), B.S. in Computer Science and Biology from the University of Utah (1995). Research Trends: Explores systems design in the post-Moore's Law era, emphasizing concurrency, low-latency geo-replicated storage, and RDMA in datacenters. Key projects include MemC3, Eiger, Cuckoo Filter, and FAWN. Teaching: Courses in Advanced OS, Distributed Systems, Low-Power Computing, and Network Security. Professional Service: Program committee roles at SOSP, NSDI, SIGCOMM, and DARPA ISAT advisory group. Personal: Active in running, climbing, and outdoor activities with detailed route guides for Pittsburgh and Boston.