Find Academic Supervisors

Hans-Arno JacobsenView profile

Professor

• Distributed Systems
• Data Management
• Data Science
• +10 more

Hans-Arno Jacobsen is a Professor holding the Jeffrey Skoll Chair in Computer Networks and Innovation at the University of Toronto , affiliated with the Department of Electrical and Computer Engineering and Department of Computer Science under the Faculty of Applied Science and Engineering . Full-time faculty member since 2001 Fellow of the IEEE Chair of the Computer Group Jacobsen leads the Middleware Systems Research Group (MSRG) , focusing on scalable distributed systems. His work spans: Core research: Event processing, publish/subscribe systems, service-oriented architectures Applied domains: Blockchain infrastructure, quantum machine learning, cloud computing Cross-disciplinary interests: Energy informatics, sustainable computing, quantum chemistry His publications and grants since 2019 demonstrate sustained leadership in: Quantum computing applications Reproducibility in quantum systems Blockchain optimization Microservices architecture Cyber-physical system engineering Selected scientific awards: Double Test-of-Time Award recipient from VLDB (2019) and ACM Middleware (2015) Event Processing Technical Society's Innovative Principles Award (2011) Major funding includes: NSERC Discovery Grant (2021-2026) for 'Learning Clouds' IBM/NSERC Collaborative Grant (2019-2023) for cloud microservices Ontario Research Fund (2019-2026) for CyPreSS project

Shirley CohenView profile

Assistant Professor

• Databases
• Data Warehousing
• Data Integration
• +7 more

Shirley Cohen serves as an Assistant Professor of Instruction in the Department of Computer Science within the College of Natural Sciences at The University of Texas at Austin. She maintains an active concurrent position as Solutions Architect Manager at Google, demonstrating strong industry-academia connections. Dr. Cohen holds an M.S. in Computer Science from the University of Pennsylvania (2007) and an M.B.A. in Information Technology from Dalhousie University (2004). Her academic journey reflects a blend of technical expertise and business acumen. Her research and teaching interests center on practical database systems and data engineering, with particular focus on SQL, data warehousing, ETL processes, and cloud-based data solutions. She has developed and taught multiple courses including CS 327E (Elements of Databases), CS 329E (Elements of Data Integration), and CS 378 (Foundations of Data Warehousing) across numerous semesters from 2016 through projected 2025 offerings. Her pedagogical approach emphasizes hands-on learning with modern cloud technologies, particularly Google Cloud Platform services including BigQuery, Firestore, and Dataflow. She integrates contemporary tools like dbt, Lucidchart, and various NoSQL databases into her curriculum. Dr. Cohen's courses consistently incorporate active learning techniques, with students working in pairs on substantial projects that build comprehensive data pipelines from raw data ingestion through to visualization and analysis.

Fadila BentayebView profile

Associate Professor

• NoSQL Data Warehouses
• Text Warehousing
• Personalization & Recommendation Systems
• +5 more

Fadila Bentayeb is an Associate Professor (HDR) at the University of Lyon 2, affiliated with the ERIC Laboratory and the Department of Informatics and Statistics (DIS). She leads the Complex Data Warehousing and OLAP research team (SID) and has served as Head of the first year of the Master's degree in Computer Science at the Institute of Communication (ICOM) since 2014. Her work bridges academic research and practical applications in data-intensive systems. HDR (Habilitation to Direct Research), University of Lyon 2 (2011) Ph.D. in Computer Science, University of Orléans (1998) Her research focuses on NoSQL data warehouses, text warehousing, and personalization systems, with emphasis on scalable architectures and context-aware analytics. Recent work explores AI-driven security in IoT networks and temporal modeling for evolving data structures. Key trends in her publications include: (1) Graph-based multidimensional modeling (GAMM framework), (2) Optimization of distributed big data warehouses using machine learning, (3) Medical text classification via hybrid CNN-LSTM models, and (4) Temporal data warehouse evolution. As part of the ERIC Laboratory’s leadership team, she contributes to strategic research directions and mentors students in advanced data systems. Her technical expertise extends to Hadoop/Spark optimization, OLAP cube design, and semantic integration of heterogeneous data sources.

Nadine CullotView profile

Professor

• Semantic Web
• Data Analysis
• Ontologies
• +9 more

Nadine Cullot is a Professor in Data Science at the Université de Bourgogne, affiliated with the College of Science and Technology and the Department of Computer Science, Electronics, and Mechanics. Her work spans Semantic Web technologies, data analysis, and ontology-driven applications. Research Themes: Knowledge modeling using ontologies, logical reasoning, semantic contextualization of data analysis results, and AI techniques for fraud detection. Projects: Co-leads the i-site Cocktail project (2019-2023) focused on Twitter discourse analysis in the food domain, developing ontologies for semantic enrichment. Publications focus on data lakes, fraud detection in interbank systems, and social network polarization. She co-supervises theses on AI-driven anomaly detection and data lake automation. Teaching: Courses in Java programming, advanced algorithms, NoSQL databases, and Semantic Web technologies (OWL, SPARQL, SWRL) at undergraduate and Master's levels. Administrative Roles: Deputy Director of the Department of Computer Science, Electronics, and Mechanics; responsible for the Master in Computer Science program.

Johannes ScholzView profile

Researcher

• Geoinformation
• Cartography
• Web Mapping
• +5 more

Johannes Scholz is a researcher affiliated with the Institute of Geoinformation and Cartography at Vienna University of Technology . His work bridges GIScience, spatial data analysis, and user-centric technologies. Research Focus : GIS applications, web mapping, spatial scheduling, and data management. Contributions : Explored machine learning for tourism flow prediction, FOSS-GIS education tools, NoSQL databases for unstructured data, and GIS-integrated operations research for logistics. Collaborations : Engaged in interdisciplinary projects with colleagues like Norbert Bartelme and Gerhard Navratil.

Sunshin LeeView profile

Assistant Professor

• Big Data Analytics
• Machine Learning
• Distributed Databases
• +4 more

Sunshin Lee is a tenure-track Assistant Professor in the Department of Computer Science at the University of Illinois at Springfield. He earned a Ph.D. in Computer Science from Virginia Tech and previously held a tenure-track position at Radford University, teaching Big Data Analytics and Distributed Databases. His industry experience includes work as a Data Warehouse and Business Intelligence engineer at LG CNS in South Korea. Education: Ph.D. in Computer Science from Virginia Tech Prior Employment: Radford University (tenure-track assistant professor), LG CNS (Data Warehouse engineer) Lee specializes in Big Data Analytics , Machine Learning , and Distributed Databases , with a focus on geo-locating via social media texts. His recent work includes building a 12-node Kubernetes cluster with 8 GPUs and an 11-node Hadoop cluster since 2019. He and colleagues secured a $100,000 UIS Strategic Investment Fund award to establish the AI and Data Analytics Center (AIDAC). His research infrastructure includes systematically collected datasets of 11 billion tweets, 4.8 million webpages, and specialized collections on disasters, emergencies, political events, and technologies. Lee teaches graduate and undergraduate courses in Bigdata Analytics, NoSQL Databases, and Data Structures & Algorithms.

• Database Management
• Transaction Management
• Replication
• +4 more

Alan Fekete is a Professor of Enterprise Software Systems in the School of Computer Science at the University of Sydney. He holds a BSc (Hons) from the University of Sydney and a PhD from Harvard University's mathematics department. With over 30 years at the University of Sydney, he has made significant contributions to database systems, distributed computing, and computing education. His research focuses on improving software systems' state-of-practice, particularly in transaction management, replication, and cloud computing. Education background: BSc(Hons) from the University of Sydney, PhD in Mathematics from Harvard University. Research interests include database management (transaction systems, replication), cloud computing, distributed systems, software engineering, and computing education. His teaching spans enterprise software architecture, data models, and systems analysis. He has supervised 13 doctoral students and contributed to curriculum development, notably in Java programming and cloud workforce training. Recent publications explore transactional frameworks, database benchmarking, and concurrency control. He is a Distinguished Scientist of ACM and a member of IEEE and Australian Computer Society. His work on robust rolling-upgrades and cloud storage benchmarking addresses modern system challenges. Fekete's teaching innovations include data-centric curricula and frameworks for self-assessment in programming education.

• Cybersecurity
• Network Security
• Healthcare Information Security
• +3 more

Young B. Choi is a Professor in the Department of Engineering & Computer Science at Regent University, specializing in cybersecurity, network security, and healthcare information security. He has held academic positions at institutions including James Madison University and the University of Missouri-Kansas City, and industry roles at companies like Creative Technology Ltd. and Compaq Computer Corporation. His research focuses on securing telecommunications, healthcare data privacy (HIPAA compliance), and emerging technologies like blockchain. Dr. Choi has served as an associate technical editor of the IEEE Communications Magazine since 2005 and contributed to over 150 refereed publications. He is an Outstanding Contributor in the TeleManagement Forum’s University Community Program and a member of the LoRa Alliance. Education: Ph.D. & M.S. in Computer Networking from University of Missouri-Kansas City; M.S. in Computer Science from KAIST; B.S. in Computer Science & Statistics from Chonnam National University. His research interests span secure service management, information assurance for homeland security, and cybersecurity in telemedicine. Key contributions include frameworks for HIPAA compliance audits, mitigation strategies for 5G security risks, and blockchain applications in patient data protection. Dr. Choi has authored Selected Readings in Cybersecurity (Cambridge Scholars Publishing, 2018) and contributed to multiple technical specifications and book chapters. Notable awards include the 2016 Regent University Faculty Excellence Award and a 1996 Best Paper Award at IEEE NOMS. His work frequently addresses real-world cybersecurity challenges, such as analyzing high-profile data breaches (e.g., Facebook, Equifax) and advancing BYOD security through NAC and next-gen firewalls.

Hai WangView profile

Professor

• Big Data
• Business Analytics
• Business Intelligence
• +5 more

Hai Wang serves as Professor in the Department of Finance, Information Systems, and Management Science at Saint Mary's University's Sobey School of Business, with an additional Adjunct Professor appointment in Dalhousie University's Faculty of Computer Science. His career progression from Assistant Professor (2004) to Associate Professor (2010s) to current full Professor demonstrates sustained academic impact within Canadian business education. His educational foundation includes: B.Sc. in Computer Science, University of New Brunswick (1995) M.Sc. in Computer Science, University of Toronto (1997) Ph.D. in Computer Science, University of Toronto (2004) Professor Wang's research integrates technical data science with business applications , featuring core interests in Big Data, Business Intelligence, and Knowledge Management. His work emphasizes practical implementation frameworks for enterprises, particularly focusing on Shared Services optimization and SME data analytics , while maintaining strong connections to Machine Learning and Database Management methodologies. This interdisciplinary approach bridges computer science rigor with business decision-making needs. Analysis of his recent publications (2020-2023) reveals three dominant trajectories: (1) Knowledge Management applications in cybersecurity and small business contexts, (2) Pedagogical innovations in database and business analytics education (including no-code approaches), and (3) Predictive analytics for shared services operations. His work consistently demonstrates translational value from academic research to business practice. His scientific recognition includes: Decision Sciences Journal of Innovative Education Best Teaching Brief Award (2011) Research funding from NSERC supports his ongoing work, while his teaching portfolio spans foundational courses like Business Applications Programming and advanced topics including Business Intelligence and Data Visualization. His mentorship extends through course-based projects and textbook authorship, though formal doctoral advisees aren't documented in public profiles. Current course offerings (2023-2024) confirm active classroom engagement across undergraduate, MBA, and Master's programs. Professor Wang maintains significant scholarly output through textbook development and conference leadership, with research increasingly addressing real-world challenges in business data ecosystems while advancing information systems education methodologies.

Jesus Joaquin Garcia MolinaView profile

Professor

• Computer Science
• Database Systems
• Model-Driven Engineering
• +5 more

Jesus Joaquin Garcia Molina is a Professor in the Department of Computer Science and Systems Engineering at the Universidad de Murcia's Faculty of Informatics. He holds a Doctorate from the same university with a thesis on the conformational and dynamic study of flexible macromolecules (1988). His research focuses on database systems, model-driven engineering, NoSQL technologies, and software modernization. He is actively involved in projects related to schema evolution, user interface generation from wireframes, and AI applications in healthcare and education. Key research areas include database schema management, cross-platform data migration, and the development of unified query languages like Skiql. He has contributed to frameworks such as Guizmo for automated UI generation and tools for reverse-engineering legacy systems. His work bridges theoretical computer science with practical applications in software development and education technology. Recent publications emphasize NoSQL schema evolution, AI-driven radiology support systems, and the integration of interactive educational content in social robots. His interdisciplinary approach spans computer science, medicine, and pedagogy, with notable contributions to both academic and applied domains.

Aykut Hamit TURANView profile

Professor

• Information Systems
• Technology Acceptance Models
• E-commerce
• +3 more

Prof. Dr. Aykut Hamit TURAN is a Professor at the Department of Management Information Systems in the Faculty of Business Administration at Sakarya University. His academic career includes extensive contributions to research and education in information systems, technology adoption models, and digital transformation. He holds the email address ahturan@sakarya.edu.tr and has been affiliated with multiple international and national research projects. His research focuses on cross-cultural IT workforce dynamics, social media impact analysis, healthcare IT adoption, and e-commerce trends. Notable achievements include leading studies on Turkish healthcare IT challenges, social media's role in education, and ERP implementation models. He has authored/co-authored over 200 peer-reviewed articles and served on editorial boards of journals like Journal of Global Information Technology Management . Research Interests : Information systems, technology acceptance models (TAM), e-commerce strategies, social media analytics, healthcare IT solutions, and organizational digital transformation. His work bridges academic theories with practical industry applications, emphasizing empirical validation of models. Awards : Recognized as Sakarya University's top faculty for high-impact publications (2018), received the Best Paper Award (2016) and Organizational Leadership Award (2018) from international IT associations, and held a research fellowship at the University of Memphis (2000). Grants & Projects : Led projects on big data adoption challenges, ERP implementation frameworks, and digital marketing strategies. Engaged in international collaborations through the World IT Project, analyzing global IT trends across 20+ countries.

Sebastian PritzView profile

Researcher

• Database Systems
• Information Technology
• Data Management
• +3 more

Sebastian Pritz is a Researcher at the FH JOANNEUM University of Applied Sciences, affiliated with the Research Center Hagenberg, AIST Center of Excellence, TIMed Center, and Digital Media Lab. His focal area is ICT (Information & Communications Technology). He holds an M.Sc. and focuses on interdisciplinary research in database systems and environmental applications. Research interests include NewSQL/NoSQL database performance, time series data management, and vegetation analysis. He has published in conferences like ICECCME and contributed to projects like HCAI (Human-Centered AI) and CRISAM® Loop (AI-based risk management). He participated in the ICECCME 2023 conference and actively collaborates with interdisciplinary teams. His work bridges technical database solutions with ecological monitoring, reflecting a dual focus on ICT innovation and environmental science.

Johan BäckmanView profile

Researcher

• Avian Biology
• Ecology
• Electronics Design
• +3 more

Johan Bäckman is a Researcher at Lund University's Biology Department, affiliated with the Evolutionary Ecology and Infection Biology group and the Lund Migration Group. He holds roles as Technical Coordinator and Research Engineer, focusing on technical innovations supporting bird migration research. Bäckman completed his PhD in 2002 on bird orientation and has contributed to projects like CAnMove and NordGen. His work spans database systems, electronics design, and radar ornithology. He manages the Electronics Lab infrastructure and collaborates internationally on migration studies. Education: PhD in Zoology (2002) from Lund University. Earlier involvement in a small company developing electronics for animal behavior studies. Research Interests: Bird migration biology, sensory electronics, low-power microcontroller systems, energy harvesting, and data modeling. His studies use funnel cages and radar to analyze migratory behavior, with recent focus on flight altitude dynamics and environmental influences. Projects: Active in the Dubbelbeckasinens jojo-flygningar project (2020–present) and past roles in CAnMove (until 2018) and NordGen IT systems (2003–2010). Key contributions include Svalbard Seed Vault logistics systems and radar systems for migratory tracking. Labs/Teams: Oversees the Electronics Lab, supporting technical solutions for CAnMove researchers. Collaborates across disciplines, including engineering and environmental science.

Thanaa GhanemView profile

Associate Professor

• Data Science
• Database Systems
• Social Media Analysis
• +4 more

Thanaa Ghanem is an Associate Professor in the Department of Computer Science and Cybersecurity at Metropolitan State University's College of Engineering. With a PhD from Purdue University (2014), she has held academic positions at Umm Al-Qura University (Assistant Professor, 2013-2014) and Qatar Computing Research Institute (Scientist, 2017-2018). Her research focuses on data science, social media analytics, spatio-temporal data processing, and geotagged microblog analysis. Education includes: PhD, Computer Science, Purdue University, West Lafayette MS, Computer Science, Purdue University, West Lafayette BS, Computer Science, Alexandria University, Egypt Research interests emphasize: Social network analysis for health communication Big data query language pedagogy Geotagged microblog visualization systems (Taghreed/VisCAT) Language diversity mapping in social media Spatio-temporal data processing Cloud DBMS architectures and tradeoffs Her recent publications demonstrate expertise in social media epidemiology, data visualization, and database systems. She has also contributed to educational curriculum design in data science. Scientific awards: No specific awards mentioned in available data

• Machine Learning
• Data Mining
• Collaborative Human/Computing Systems
• +2 more

David Musicant is a Professor of Computer Science at Carleton College , where he has taught since 2000. His courses include Data Structures, Programming Languages, Database Systems, and interdisciplinary topics like "Art, Interactivity, and Microcontrollers." His research focuses on machine learning and data mining collaborative human/computing systems computer science education environmental chemistry through data analysis Recent work explores insulin sensitivity patterns in diabetes using data analysis. Selected trends from his articles include data mining applications in environmental science machine learning and support vector machines undergraduate research and educational pedagogy Git and software engineering tools Projects include Enchilada (environmental chemistry data analysis), Elegit (Git learning tool), and TrafficJam (collaboration with Twin Cities Public Television). Contact details: Department of Computer Science, Carleton College Email: dmusicant@carleton.edu Phone: 507-222-4369