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Ke YiView profile

Professor

• Database theory and systems
• Query processing
• Data security and privacy
• +7 more

Ke Yi is a Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), where he also serves as Director of the MSc Program in Big Data Technology. His research spans database theory and systems, query processing, data security and privacy, parallel and distributed algorithms, and computational geometry, with a focus on bridging theoretical guarantees with practical implementations. Dr. Yi earned his B.Eng. in Computer Science and Technology from Tsinghua University (1997-2001) and his Ph.D. in Computer Science from Duke University (2001-2006), advised by Professors Pankaj K. Agarwal and Lars Arge. Before joining HKUST in 2007, he was a Research Specialist at AT&T Labs-Research (2006-2007). His research interests center on database theory and systems with particular emphasis on query processing techniques, data security and privacy mechanisms, and efficient algorithms for big data. Yi's work consistently demonstrates the rich interdependence between theoretical foundations and practical implementations, favoring simple algorithms with elegant analyses that provide valuable insights for real-world applications. His research group has developed several notable system prototypes including Quorion (query optimization), DPSQL (differentially private SQL), SparkSQL+ (next-generation query planning), SecYan (secure query processing), CROWN/Cquirrel (continuous query processing), and XDB (online aggregation). Yi's publication record shows a clear evolution toward privacy-preserving database technologies, particularly differential privacy, with an increasing focus on practical implementations that maintain theoretical guarantees. His recent work has centered on query processing under differential privacy, secure multi-party computation for databases, and efficient algorithms for big data analytics, demonstrating consistent contributions to both theoretical foundations and practical systems. ACM SIGMOD Best Paper Award (2016, 2022) ACM PODS Test-of-Time Award (2022) ACM Distinguished Member (2021) Multiple ACM SIGMOD Best Paper Honorable Mentions Google Faculty Research Award (2010) HKUST School of Engineering Young Investigator Research Award (2012) Professor Yi has supervised numerous Ph.D. and MPhil students, many of whom have gone on to prestigious academic and industry positions at institutions including Nanyang Technological University, University of Waterloo, EPFL, Alibaba Cloud, and Google. His research has been generously supported by Hong Kong RGC, Alibaba, Huawei, ByteDance, Microsoft, and Google. In addition to his research leadership, Yi has made significant contributions to the academic community through editorial roles (ACM TODS, IEEE TKDE), program committee chairs (PODS 2026, ICDT 2021), and numerous service roles in top database conferences. His laboratory, the HKUST Database Lab (hkustDB), has become a leading center for database research in Asia, developing innovative prototypes that bridge theoretical database research with practical implementations. The lab maintains active GitHub repositories for their open-source projects and collaborates extensively with both academic and industry partners worldwide.

• Environmental Analytical Chemistry
• Per- and Polyfluoroalkyl Substances (PFAS)
• Groundwater Contamination
• +3 more

Christian Zwiener is a Professor (W3) for Environmental Analytical Chemistry at the Center for Applied Geoscience, University of Tübingen since 2009. He holds a Habilitation and Venia Legendi in Water Chemistry (KIT, 2004) and a Ph.D. in Water Chemistry (Technical University of Munich, 1995). His research focuses on PFAS analysis , non-target screening , and environmental fate of contaminants using high-resolution mass spectrometry . Education: Habilitation in Water Chemistry, KIT (2004) Ph.D. in Water Chemistry, Technical University of Munich (1995) Diploma in Analytical and Environmental Chemistry, University of Ulm (1989) Research Trends: PFAS contamination in soils , human hair , and textiles Non-target screening workflows for novel contaminants and transformation products Environmental fate of pharmaceuticals and biocides Development of HRMS data mining tools (e.g., FindPFΔS, PFΔScreen) Scientific Awards: Level II Scientific and Technological Achievement Award (STAA) , EPA (2008) Research Award , Water Chemical Society, GDCh (2001) Professional Service: Chairman, Journal Vom Wasser (2016–present) Delegate, EUChemS Division of Chemistry & Environment (2020–present) Member of Water Research Perspectives Commission (2018–present) Advisory Board, VEGAS, University of Stuttgart (2014–present) His work bridges analytical chemistry , environmental toxicology , and public health , with key contributions to PFAS contamination and CKDu groundwater links . He has developed standardized methods for PFAS analysis and electrochemical oxidation protocols for contaminant degradation.

Ilkyeun RaView profile

Associate Professor

• Computer Networks
• Distributed Systems
• Cloud Computing
• +5 more

Ilkyeun Ra serves as Associate Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he has taught since 2001. His instructional responsibilities span undergraduate and graduate courses including Operating Systems, Computer Networks, and Cloud Computing. His educational background comprises: Ph.D. in Computer and Information Science, Syracuse University (2001) M.S. in Computer Science, University of Colorado Boulder B.S. and M.S. in Computer Science, Sogang University Dr. Ra's research concentrates on adaptive distributed systems and high-speed communication networks for high-performance computing. Current investigations focus on microservice autoscaling in cloud environments, multimedia streaming protocols over named data networks, and social media-driven disaster management systems. His methodology integrates reinforcement learning, blockchain, and real-time analytics to address scalability and reliability challenges in distributed architectures. Analysis of his 2018-2024 publications reveals dominant themes in cloud-native systems (46%), disaster informatics (23%), and network protocol innovation (31%). Key methodological trends include reinforcement learning applications for resource optimization (3 articles), blockchain implementations for privacy preservation (2 articles), and social media analytics for crisis response (3 articles). Scientific recognition includes: Outstanding paper award at IEEE The 26th International Conference on Advanced Communications Technologies (2024) Dr. Ra actively recruits Ph.D. students for distributed systems research. His funded projects include NIH support for the Hospital Computerized Disaster Information Management System (1G08LM009710-01, 2008-2011) and ETRI (South Korea) collaboration on parallel data processing frameworks. Current grants focus on cloud-based disaster management and edge network optimization. He directs the Distributed Computing and Networking Research Lab, which operates three specialized teams: the Cloud Microservices Group developing reinforcement learning autoscalers, the Multimedia Streaming Team designing NDN protocols, and the Disaster Informatics Unit analyzing social media for real-time crisis response.

• Information Systems
• Business Analytics
• IT Capability Continuity
• +4 more

Dr. Jinho Kim is an Assistant Professor of Information Systems Management (MIS) at the University of Houston-Downtown (UHD). He previously taught business analytics at Lewis University (2020-2022) and brings 14 years of industry experience from Samsung, LG, Akamai Technologies, and Korea Telecom. Education Ph.D., Information Technology and Supply Chain Management — Old Dominion University MBA, Business Administration — University of Minnesota Research Interests Dr. Kim’s research is organized into three primary streams: IT Capability Continuity: Examining managerial and organizational factors that sustain firms’ IT capabilities and their long-term impact on business performance. Mobile ICT & National Productivity: Investigating how mobile information and communication technologies influence national productivity across developed and developing economies. Distributed Big-Data Analytics: Designing novel clustering algorithms tailored for globally distributed big-data environments. Publications & Trends His recent publications in Information & Management , Journal of Global Economy, Trade and International Business , and Journal of Management Analytics collectively explore strategic IT management, emerging network technologies (6G, IoT), and data-driven insights for global competitiveness. Scientific Awards & Honors No specific awards were mentioned in the provided text. Teaching & Service Dr. Kim regularly teaches undergraduate courses such as Management of Information Systems (MIS 3302) , Programming & Applications Development (MIS 3330) , Business Intelligence (MIS 4320) , and Cyber Networked Security . He emphasizes real-world applications drawn from his extensive industry background and fosters interactive, student-centered learning environments. He also contributes to departmental service, including formative assessment initiatives for core MIS courses.

Hannah M. CarrollView profile

Assistant Professor

• Ecology
• Environmental Science
• Paleoclimatology
• +4 more

Hannah M. Carroll is an Assistant Professor of Environmental Science and Ecology at Western Colorado University, affiliated with the Natural & Environmental Sciences Department and the Clark Family School of Environment & Sustainability, where she teaches Environmental Biology, Science of Sustainability, Ecological Research Methods, and Scientific Computing. Her educational background includes: Ph.D. in Ecology & Evolutionary Biology and Environmental Science (co-majors), Iowa State University, 2020 B.S. in Environmental Science, University of Washington-Tacoma, 2008 Dr. Carroll's research integrates paleoclimatology, ecology, and biogeochemistry to investigate plant-climate interactions across geologic timescales. She specializes in clumped isotope paleothermometry, developing open-source software for reproducible statistical analysis while exploring applications in evolutionary biology and environmental reconstruction. Her educational philosophy emphasizes evidence-based methods to advance equity in STEM. Analysis of her recent publications reveals a dominant focus on methodological innovation in isotope geochemistry, particularly clumped isotope calibration and standardization, with expanding interdisciplinary applications spanning entomology, marine biomineralization, and ecological education. These works consistently address climate reconstruction challenges through technical refinement and cross-field collaboration. Her scientific recognition includes: IRACDA@UCLA faculty training program postdoctoral fellowship UCLA Center for Diverse Leadership in Science Early Career Fellowship Dr. Carroll actively contributes to undergraduate and graduate science education through curriculum development in ecological methods and computational science, though specific advising details and research grants are not documented in available materials. Her work reflects strong alignment with the university's environmental sustainability mission through both research and pedagogy.

Dov KrugerView profile

Teaching Professor

• High Performance Computing
• Network Programming
• 3D Printing
• +3 more

Dov Kruger is an Associate Teaching Professor in the Department of Electrical Engineering at Rutgers University. He holds a BE in Electrical Engineering, an MS in Computer Science, and a PhD in Ocean Engineering, all from Stevens Institute of Technology. Prior to Rutgers, he spent 10 years as a professor at Stevens. His research focuses on high-performance computing, network programming, 3D printing, and computing education. He explores re-engineering software for efficiency, distributed programming models, and innovations in data compression and secure networking. His work also encompasses underwater acoustics and sensor systems from earlier career phases. Key themes in his recent articles include real-time video processing, federated learning privacy, AI bias mitigation, and blockchain-based systems. His earlier contributions involved underwater robotics and environmental sensor networks in estuaries. Dr. Kruger seeks collaborators in FPGA, network programming, and 3D printing. He has no listed scientific awards but maintains active research in multidisciplinary computer science and engineering education.

Adel AlaeddiniView profile

Professor

• Mechanical Engineering
• Artificial Intelligence
• Machine Learning
• +9 more

Dr. Adel Alaeddini is a Professor of Mechanical Engineering at Southern Methodist University (SMU) and holds courtesy professorships in Operations Research and Engineering Management and Computer Science. He serves as the O'Donnell Foundation Professor and Co-Executive Director of the Center for Digital and Human-Augmented Manufacturing (CDHAM). His research integrates physics-inspired artificial intelligence and machine learning methods to address challenges in Advanced Manufacturing, Healthcare, and Energy Systems. Education: Post Doctoral Research, University of Michigan Ph.D., Wayne State University Ph.D., Iran University of Science and Technology, Tehran, Iran Dr. Alaeddini's research focuses on: Physics-Inspired Machine Learning for Engineering Prognosis and Discovery Human-Augmented Control and Optimization of Complex Systems Industry 5.0-Driven Multi-Stream Sensor Data Modeling, Analytics, and Control Sample-Efficient Learning and Optimization of Black-Box Functions Generative AI-Enhanced Digital Twins for Collaborative Design and Optimization Deep Graph Analytics for Unraveling Complex System Dynamics His publications demonstrate expertise in Gaussian Processes, Graph Neural Networks, Stochastic Programming, and Reinforced Concrete Modeling, with applications in Radiology and Biofuel Supply Chains. These works highlight interdisciplinary collaboration across Computer Science, Biomedical Engineering, and Environmental Engineering domains. Scientific Awards: Summer Faculty Fellowship (2021, 2022, 2023) - Office of Naval Research (ONR) Best Poster Award (2019) - IISE Annual Conference Young Investigator Award (2016) - Air Force Office of Scientific Research (AFOSR) Summer Faculty Fellowship (2016) - AFOSR Pierskalla Competition Finalist (2010) - INFORMS Annual Conference Best Student Paper Award (2009) - Industrial Engineering Research Conference Selected Paper (2007) - IFSA World Congress Dr. Alaeddini has secured over $8M in grants from agencies including DOD, DOE, NSF, NIH, VA, DHS, and USDA. He serves as Associate Editor for multiple journals and Technical Vice President of IISE. His work at CDHAM emphasizes Industry 5.0 and human-AI collaboration in manufacturing ecosystems.

• Research Data Management
• Open Science
• Data Ecosystems
• +11 more

Soo-Yon Kim is a Researcher & Data Steward at the Chair of Information Systems 5 (Informatik 5) at RWTH Aachen University, Department of Computer Science, Faculty of Mathematics, Computer Science and Natural Sciences. She is actively engaged in research and teaching, focusing on Research Data Management (RDM), Open Science, data ecosystems, and the integration of AI and large language models in data stewardship. Her research interests include: Open Science & Research Data Management Data infrastructure design and cross-organizational data sharing Data quality management in data ecosystems Data-centric AI and large language models Societal implications of algorithms, AI, and Big Data FAIR and TRUST principles for data reuse Her recent publications demonstrate a strong trend in leveraging data management plans (DMPs) for improved data discoverability, cross-company data sharing, and applying LLMs to automate and enhance RDM processes. She contributes to interdisciplinary projects, particularly within the Cluster of Excellence 'Internet of Production,' focusing on scalable, usable, and privacy-aware data solutions for engineering and production contexts. Soo-Yon Kim supervises multiple theses on topics involving LLMs, FAIR data assessment, data ecosystems, and industrial data quality. She teaches courses such as 'Data Stream Management and Analysis' and 'Seminar Data Ecosystems,' indicating her active role in academic education. She is involved in significant research projects, including the Cluster of Excellence Internet of Production, where she contributes to developing data infrastructure and quality frameworks for industrial applications. Her work bridges technical data management with societal and organizational challenges in data sharing.

• Applied Marketing
• Industrial Economy
• Industrial Business
• +14 more

Manuel Escourido Calvo is a faculty member at the Faculty of Humanities, University of A Coruña (UDC), Spain, where he teaches in the Department of Business. He specializes in Market Research and Commercialisation, with a strong focus on applied marketing and industrial economy. He is actively involved in teaching across multiple programs, including the BA in Fashion Industry Management, Master’s in Labour Management, and various specialized master’s degrees in design, technology, and sustainable fashion. His research interests span Applied Marketing , Fashion Marketing , Sustainable Fashion , Marketing 5.0 , Influencer Marketing , Product Placement , Neuromarketing , and Consumer Behavior . He is a member of the Investigación en Marketing Aplicado research group, contributing to interdisciplinary studies that bridge business, technology, and sustainability in the fashion sector. The recent publication trends of Manuel Escourido Calvo highlight a strong emphasis on digital transformation, sustainability, and emerging marketing technologies. His work explores the integration of artificial intelligence in fashion marketing (Marketing 5.0), the role of social media platforms like TikTok and Instagram, and innovative strategies such as advergaming and product placement in digital media. Many of his articles focus on sustainability, ethical marketing, and the socioeconomic impact of fashion, reflecting a commitment to responsible business practices. Manuel Escourido Calvo has supervised numerous final-year and master’s theses on contemporary marketing topics, demonstrating his role as an academic mentor. His research has been supported by projects funded by institutions such as the Spanish Foundation for Science and Technology (FECYT) and local cultural organizations. He has collaborated with researchers like A. Javier Prado Domínguez and Félix Puime-Guillén on interdisciplinary projects related to sustainability, digital communication, and economic development. He has also contributed to academic dissemination through conference proceedings, book chapters, and co-edited volumes. Notably, he co-edited the Communication and Applied Technologies proceedings from iCOMTA 2022, published by Springer Nature. His work appears in journals such as Sustainability and Revista Estrategia Organizacional , as well as in international conference proceedings across Spain, Portugal, Romania, Ukraine, and Colombia.

Graham JohnsonView profile

Researcher

• Interactive and high-performance web visualization
• Immersive visualization environments
• Information visualization
• +3 more

Graham Johnson is a Researcher at the National Renewable Energy Laboratory (NREL), affiliated with the Computational Science Center and the Data, Analysis, and Visualization Group . His work focuses on designing high-performance visualization tools for energy systems and decision-making processes. Primary research areas include interactive web visualization, immersive environments, and real-time visual analytics. Formerly at The Aerospace Corporation (2017–2020), he transitioned to NREL to develop advanced visualization pipelines and collaborative tools. His recent publications highlight innovations in energy scenario modeling, contour visualization alternatives, and situational awareness applications. Articles emphasize Computer Science , Energy Systems , and Human-Computer Interaction themes. Education includes dual Masters in Applied Mathematics and Aeronautical & Astronautical Engineering from Purdue University, along with a Bachelor's in the latter field.

Boris KoldehofeView profile

Professor

• Distributed Systems
• Computer Networks
• Software-defined Networking
• +4 more

Prof. Dr. Boris Koldehofe is a Full Professor of Distributed and Operating Systems at the Technical University of Ilmenau, Germany since 2023. Previously, he held Full Professor of Computer Networks at the University of Groningen (2020–2023) and served as a Senior Researcher/Lecturer at Technical University of Darmstadt (2014–2020). He is also an Adjunct Professor at TU Darmstadt since 2020. Research Focus: Distributed Systems, Software-defined Networking, Complex Event Processing (CEP), Fog Computing, Privacy Engineering Education: Habilitation in Communications and Distributed Systems (2019), PhD in Computer Science (2005) Research Trends : His 2024–2023 publications emphasize analog/memristor-based network computing , privacy-preserving CEP , and time-sensitive networking . Key themes include programmable data planes , AI-driven infrastructure , and energy-efficient systems . Recent work explores federated learning in vehicular networks and privacy engineering for IoT analytics . Projects & Leadership : He leads the DFG CRC 1053 MAKI (2014–2024) and the Parrot: Privacy Engineering for IoT project (2021–). He serves as principal investigator for dynamic Industry 4.0 communication networks and has managed collaborations with institutions like EPFL, University of Stuttgart, and University of Heidelberg.

Safeeq KhanView profile

Associate Professor

• Disturbance & Global Change Hydrology
• Integrated Modeling
• Nature-Based Climate Solutions (NbS)
• +5 more

Dr. Safeeq Khan is an Associate Professor in the Civil & Environmental Engineering department at the University of California, Merced . He leads the Forest Ecohydrology & Watershed Systems (FEWS) Lab , focusing on understanding climate change impacts on hydro-terrestrial systems and developing nature-based solutions for water resource management. Ph.D, University of Hawai'i at Manoa (USA) M.Tech., Indian Institute of Technology, Kharagpur (India) B.Tech., CSA University of Agriculture and Technology, Kanpur (India) His research emphasizes the interplay between climate, vegetation, and subsurface water storage, particularly in Mediterranean and mountainous ecosystems. Key areas include: Forest ecohydrology Climate change adaptation Disturbance impacts (wildfire, drought) Remote sensing applications Integrated hydrological modeling Nature-Based Climate Solutions (NbS) The FEWS Lab undertakes diverse projects funded by the US Department of Agriculture , California Department of Water Resources , and US Bureau of Reclamation , including: Climate-resilient agriculture and ecosystem water futures Artificial Intelligence irrigation systems Sierra Nevada forest restoration Hydroclimatic information systems for water/power management

Katherine M. KinnairdView profile

Associate Professor

• Machine Learning
• Mathematics
• Cultural Analytics
• +8 more

Katherine M. Kinnaird is an Associate Professor of Computer Science and Statistical & Data Sciences at Smith College, where she chairs the Department of Computer Science. Her research focuses on developing domain-neutral methodologies for representing high-dimensional sequential data in low-dimensional spaces, with applications in music information retrieval, biology, literature, and health care. Education Ph.D. in Mathematics, Dartmouth College (2014) A.M. in Mathematics, Dartmouth College (2010) A.B. in Mathematics, Wellesley College (2008) Her work spans computational approaches to music structure analysis, text analysis, and data science education. Peer-reviewed publications include ISMIR 2016, ISMIR 2017, ISMIR 2019, and TISMIR 2021 papers, emphasizing multi-scale representations, similarity thresholds, and reproducibility in computational music research. Scientific Awards NSF GK-12 Fellowship (2013-2014) Dartmouth Graduate Teaching Award (2013) Dartmouth Graduate Community Service Award (2011) Project NExT Fellow (MAA Red '15 Cohort) Kinnaird founded the Data Science TRAIn Lab to train undergraduates in STEM research and has co-organized initiatives like the Women in Machine Learning (WiML) Workshop (2013) and Women in Music Information Retrieval (WiMIR, 2018). Her teaching philosophy emphasizes active learning and collaborative environments.

• Database Systems
• Query Optimization
• Hardware-Efficient Data Processing
• +4 more

Holger Pirk is a researcher at Imperial College London , UK, focusing on database systems and data science. His work bridges hardware-aware query optimization, in-memory processing, and machine learning integration. He collaborates with institutions like MIT, TU Delft, and VU Amsterdam. Affiliation: Imperial College London, UK Key Collaborators: Samuel Madden (MIT), Martin Kersten (CWI), Georgios Theodorakis (Imperial), Stefan Manegold (CWI) Research Interests include: Hardware-conscious database optimization Stream/window aggregation algorithms Portable execution models via homoiconicity Compiler-database system integration Efficient tree/index structures Recent Publications (2023-2025) address topics like database kernel composition (BOSS), LLM-generated text compression, hardware-efficient data imputation, and fault-tolerant stream processing. His work emphasizes CPU/cache efficiency, parallelism, and cross-domain system design.

Jason ClarkView profile

Lecturer

• Information Retrieval Theory and Practice
• Information Systems and Technologies
• Metadata and Semantic Web
• +11 more

Jason Clark is a Lecturer and Lead for Research Informatics at Montana State University (MSU) Library, where he directs digital scholarship initiatives and researcher services. His work integrates library science with technology, focusing on semantic web development, metadata, digital libraries, and information systems. Lead, Research Informatics, Montana State University (2020–present) Head, Special Collections & Archival Informatics, MSU (2017–present) Head, Library Informatics & Computing, MSU (2014–2017) Digital Initiatives Librarian, MSU (2005–present) His research interests include information retrieval, metadata and semantic web, machine learning for user experience, digital libraries, and interface design. He emphasizes practical applications of technology in libraries, such as improving search UX, building knowledge graphs, and enabling web-scale discovery through structured data. His recent publications reflect a strong trend in leveraging semantic web technologies, APIs, and user data to enhance library services. Themes include privacy-aware service design, dataset search, citation harvesting, and responsive/mobile library applications. His work bridges theoretical information science with real-world implementation. Participatory Approaches for Designing and Sustaining Privacy-Oriented Library Services (2020) Building a Dataset Search for Institutions (2019) Citations as Data (2017) The Open SESMO Project (2017) Linked Data is People (2017) Clark has advised on digital library projects and taught courses on information technology tools. He has authored influential books such as Responsive Web Design in Practice (2015) and Building Mobile Library Applications (2012), contributing significantly to library technology practice. His career began in software development before transitioning into library informatics, giving him a unique interdisciplinary perspective. He is actively involved in building digital infrastructure at MSU, including web services, APIs, and metadata systems. His leadership in digital access and computing reflects a long-term commitment to innovation in academic libraries.