Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, College Park, with an appointment in the University of Maryland Institute for Advanced Computer Studies. He leads the Data Systems Lab at Maryland (DSLAM) and has made significant contributions to database system architecture and implementation, particularly in scalable and distributed systems. Prof. Abadi's research focuses on database system architecture, especially at the intersection with scalable and distributed systems. He is best-known for the development of the storage and query execution engines of the C-Store (column-oriented database) prototype, which was commercialized by Vertica and eventually acquired by Hewlett-Packard, and for his HadoopDB research on fault tolerant scalable analytical database systems which was commercialized by Hadapt and acquired by Teradata. His current work includes deterministic distributed systems like Calvin and SLOG, which provide strictly serializable, low-latency, geographically replicated database transactions. Analysis of his recent publications reveals a strong focus on modern database challenges including transaction processing, distributed systems architecture, data mesh concepts, schema evolution, and IoT data management. His work consistently addresses the tension between consistency, availability, and performance in distributed database systems, with recent emphasis on moving beyond traditional two-phase commit protocols and exploring novel approaches to data architecture like data mesh. ACM Fellow Sloan Research Fellowship Churchill Scholarship NSF CAREER Award VLDB Best Paper Award Two VLDB Test of Time Awards (for C-Store and HadoopDB) 2008 SIGMOD Jim Gray Doctoral Dissertation Award 2013-2014 Yale Provost's Teaching Prize 2013 VLDB Early Career Researcher Award PhD dissertation advisor for Alexander Thomson and Jose Falerio, whose dissertations won SIGMOD Jim Gray Doctoral Dissertation Awards in 2015 and 2020 respectively Prof. Abadi has advised multiple PhD students, including Alexander Thomson and Jose Falerio, both of whom received the prestigious SIGMOD Jim Gray Doctoral Dissertation Award. His research has been supported by numerous grants including NSF funding for projects like SLOG. He maintains an active presence in the database community through his widely-read blog DBMS Musings and through service on program committees for major conferences including SIGMOD, VLDB, and CIDR. He leads the DSLAM research group at the University of Maryland, which focuses on cutting-edge database system research with strong industry connections and practical impact.
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Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, College Park. He leads the Data Systems Lab at Maryland (DSLAM) and is widely recognized for his groundbreaking contributions to database system architecture and implementation. Previously, he was a faculty member at Yale University where he received the Provost's Teaching Prize. Abadi's research primarily focuses on database system architecture, particularly at the intersection with scalable and distributed systems. He is best known for developing the storage and query execution engines of the C-Store prototype (a column-oriented database system commercialized by Vertica and later acquired by Hewlett-Packard), HadoopDB research (commercialized by Hadapt and acquired by Teradata), and deterministic distributed transactional systems like Calvin (currently being commercialized by Fauna). His work bridges theoretical innovation with practical industrial impact. Analysis of his recent publications reveals a consistent trajectory toward solving fundamental challenges in distributed database systems. His research has evolved from foundational work on column-stores and hybrid database architectures to cutting-edge innovations in geo-replicated transactions, concurrency control mechanisms, and the integration of machine learning with database systems. The trend shows increasing focus on practical implementations that address real-world scalability and performance challenges in large-scale data processing environments. ACM Fellow Churchill Scholarship recipient NSF CAREER Award winner Sloan Research Fellowship recipient VLDB Best Paper Award winner Two VLDB Test of Time Awards (for C-Store and HadoopDB) 2008 SIGMOD Jim Gray Doctoral Dissertation Award 2013-2014 Yale Provost's Teaching Prize 2013 VLDB Early Career Researcher Award Professor Abadi has successfully mentored several PhD students, most notably Alexander Thomson and Jose Falerio, both of whom won the prestigious SIGMOD Jim Gray Doctoral Dissertation Award for their work under his supervision. His research has been generously supported by multiple NSF grants including BIGDATA awards and other funding mechanisms that have enabled significant advances in database technology. He actively collaborates with industry partners, with several of his research projects leading directly to commercial products. At the University of Maryland, Abadi directs the Data Systems Lab at Maryland (DSLAM), which focuses on developing innovative database technologies that address contemporary challenges in data management. The lab's research spans distributed transaction processing, database architecture, and the integration of database systems with emerging computing paradigms. Notable projects include SLOG (Serializable, Low-latency, Geo-replicated Transactions), which eliminates traditional tradeoffs in distributed database design, and ongoing work in deterministic database systems that provide strong consistency guarantees without sacrificing performance.
Dr. Stephanos Mavromoustakos serves as Acting Associate Dean and Chair of Cybersecurity, Computer Science, and Software Engineering at Indiana Tech's Talwar College of Engineering and Computer Sciences. He holds an Associate Professor rank and directs the Cybersecurity Center. His academic journey includes a PhD in Computer Science from the University of Cyprus (2006) and multiple degrees from Nova Southeastern University. With over 25 years of experience, Dr. Mavromoustakos has taught at institutions like the University of Windsor and European University Cyprus. His professional leadership spans roles as department head, consultant, and CEO of Cyprosoft. He currently advises programs in Cybersecurity (BS/MS), Computer Science (BS), and Software Engineering (BS). Research interests focus on Web Engineering , Human-Computer Interaction , Information Security , and Artificial Intelligence . Notable work includes cybersecurity project development, adaptive e-Learning systems, and biometric authentication technologies. He has published extensively in journals like UPGRADE and conferences such as IEEE and ACM. Grants include NSF S-STEM ($1M), Google Cloud Platform grants, and EU projects like MEDFORIST ($2.5M). His funded projects address data security, mobile commerce, and educational technology innovations. He teaches a wide range of undergraduate and graduate courses, emphasizing practical skills in software engineering, database systems, and cybersecurity.
Seongbae Lim serves as Professor of Information Systems within the Department of Finance and Quantitative Management at St. Mary's University, San Antonio. His expertise spans IT-driven innovation, blockchain technology, and database management, with prior academic appointments at the University of Nebraska-Lincoln and SUNY Geneseo. Lim maintains active leadership in global academic initiatives including UN collaborations and international keynote engagements. His educational foundation includes a Ph.D. in Business from the University of Nebraska (2003), M.A. from Sogang University, South Korea (1999), and B.B.A. from Kyonggi University, South Korea (1997). These credentials underpin his interdisciplinary approach to complex business challenges. Lim's research synthesizes innovation management , blockchain applications , and service systems with distinctive focus on convergence strategies and entrepreneurial ecosystems. His methodology bridges theoretical frameworks with real-world implementation, particularly evident in cross-cultural studies spanning Asia, Europe, and North America. The Living Innovation paradigm represents his signature contribution to value creation theory. Publication trends reveal progressive deepening of blockchain governance models alongside expanding socio-technical dimensions of innovation. Recent works integrate religious/cultural variables into entrepreneurial psychology while earlier research established foundational co-creation frameworks for manufacturing SMEs. This trajectory demonstrates consistent evolution from technical implementation toward holistic societal impact. Marquis Who's Who in America (continuous listing since 2005) Marquis Who's Who in the World (continuous listing since 2005) As director of operations for the Pan Pacific Business Association and secretary general of the Global Forum for Building School Bullying Prevention Systems, Lim drives cross-border academic collaboration. His editorial roles at Service Business and Journal of Convergence Information Technology further extend his influence, while Guideposts columns on spiritual capital demonstrate unconventional interdisciplinary reach. Current activities include advising doctoral candidates and developing blockchain governance frameworks for public institutions.
Arthur Leeمشاهده پروفایل
استاد پژوهش
Arthur Lee is a Research Professor and Chair of the Department of Computer Science at SUNY Korea, a campus of Stony Brook University. He holds a BS, MS, and PhD in Computer Science from the University of Utah and Stanford University. Previously, he held academic roles at Korea University (7 years, 2 years as Chair), University of Utah (5 years), and Claremont McKenna College (12 years, 2 years as Chair). His industry experience includes roles at Sandia National Laboratories, Xerox PARC, Evans & Sutherland, and SAP Labs. Research interests focus on programming languages (object-oriented and dynamic), database systems (main-memory row/column-stores for distributed big data), and data science. He has authored over 35 peer-reviewed publications and delivered 10+ tutorials internationally. Awards include the Keck Endowed Professorship and the 2004 Outstanding Teaching Award. Teaching responsibilities at SUNY Korea include courses such as CSE 114, CSE 214, CSE 305, and advanced graduate courses (CSE 526, CSE 532). He served as Editor-in-Chief of the Journal of the Korea Computer Graphics Society and maintains membership in ACM.
Samuel Madden is the MIT College of Computing Distinguished Professor and CS Head in the Electrical Engineering and Computer Science (EECS) Department at Massachusetts Institute of Technology. He leads the Systems that Learn Initiative and co-directs both the Data Systems and AI Lab (DSAIL) and the Data Systems Group (DSG) at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). Professor Madden's research focuses on database systems, including main memory databases, data warehousing/analytics, querying video data, and machine learning for data systems. His recent projects include Palimpsest (a declarative system for optimizing AI workloads), BRAD (simplifying cloud data processing), self-organizing data containers, and VaaS (Video Analytics as a Service). His work bridges traditional database systems with emerging AI technologies, exploring how learned models can improve data management efficiency. His research has resulted in numerous influential systems including C-Store (column-oriented database), CarTel (mobile sensor network system), BlinkDB (approximate query processing), Silo (main memory transaction processing), and Datahub (versioned data platform). These projects have significantly impacted both academic research and industry database technologies. ACM Fellow (2020) SIGMOD Edgar H. Codd Innovations Award (2024) Multiple 'Test of Time' awards from VLDB, SIGMOD, SIGMOBILE, and SenSys MIT TR35 Outstanding Researcher Under 35 (2005) Sloan Fellowship (2007) NSF CAREER Award (2005) Professor Madden actively advises six current PhD students and has mentored numerous successful researchers who now hold positions at leading universities and tech companies. His lab maintains strong industry connections through the Data Systems and AI Lab, providing students with opportunities to work on real-world data challenges. As Chief Scientist of Cambridge Mobile Telematics and advisor to several database startups, he ensures his research remains grounded in practical applications while pushing the boundaries of database system design. His recent publications demonstrate a clear trajectory toward tighter integration between AI and database systems, with significant contributions in cloud data infrastructure, video analytics, and learned query optimization techniques that are shaping the next generation of data management systems.