جست‌وجوی استاد و پژوهشگر

Valter Uotilaمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Databases
• Data Management
• +۲ مورد دیگر

Valter Uotila is a Doctoral researcher in Computer Science at the University of Helsinki and a Visiting doctoral researcher at Aalto University . His work focuses on quantum computing applications for databases and data management , exploring how quantum algorithms can optimize database queries and computational tasks. Education: MSc in Mathematics (University of Helsinki, 2018–2022); BSc in Mathematics (University of Helsinki, 2014–2018) Research Interests: Quantum computing, database optimization, quantum annealing, and hybrid quantum-classical algorithms. His recent work includes applying quantum techniques to join order selection, matrix multiplication, and network simulation. Scientific Achievements: Runner-up in InstituteQ Three Minute Thesis Competition Winner of multiple hackathons (QHack, Hanken Quantum Hackathon) with projects in sustainable finance and quantum-classical integration Special recognition in Quantum Internet Application Challenge Publications: His research spans quantum-enhanced machine learning, optimization algorithms for quantum databases, and practical quantum computing applications in matrix operations and network protocols. Event Organization: Proceedings Chair and Program Committee Member for the International Semantic Intelligence Conference (ISIC 2025), and active in organizing the International Workshop on Quantum Data Science and Management (QDSM 2023–2024).

Adnan YAZICIمشاهده پروفایل

استاد

• Intelligent Database Systems
• Multimedia Databases
• Video Databases
• +۴ مورد دیگر

Prof. Dr. Adnan YAZICI is a full Professor and Director of the Multimedia Database Laboratory at the Department of Computer Engineering, Middle East Technical University (METU), Ankara, Turkey. He earned his Ph.D. in Computer Science from Tulane University, USA, in 1991. Research Areas: Intelligent database systems, multimedia and video databases, information retrieval, wireless multimedia sensor networks, data science, and fuzzy database modeling. Leadership & Editorial Roles: Conference Co-Chair for major IEEE and Very Large Data Bases conferences; Associate Editor of IEEE Transactions on Fuzzy Systems . Professional Affiliations: Member of ACM, IEEE Computational Intelligence Society, and Fuzzy Systems Technical Committee. Awards: IBM Faculty Award (2011) Parlar Foundation’s Young Investigator Award (2001)

Ambuj Singhمشاهده پروفایل

استاد

• Data-Centric Modeling
• Distributed Systems
• Database Systems
• +۴ مورد دیگر

Ambuj Singh is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB). His research focuses on data-centric modeling of systems, with applications in real-world scenarios. He leads interdisciplinary initiatives such as the NSF-funded IGERT on Network Science (2013-2018) and the ARL-funded Information Networks Academic Research Center (2009-2014). His work bridges computer science with domains like biomolecular science and clinical bioinformatics. Education: PhD, University of Texas at Austin MS, Iowa State University B.Tech, Indian Institute of Technology Research interests include systems biology, network science, and computational methods for interdisciplinary challenges. His group has received funding from NSF, NIH, and the US Army. He currently oversees a research team comprising undergraduates, graduate students, and postdoctoral researchers. Affiliated with the Biomolecular Science and Engineering Program, Center for BioImage Informatics, and the IGERT on Network Science. Serves on editorial boards for IEEE Transactions on Knowledge & Data Engineering, BMC Journal of Clinical Bioinformatics, and Journal of Coupled Systems and Multiscale Dynamics. Advising and grants highlight his leadership in training next-generation researchers, with active participation in UCSB’s interdisciplinary programs.

Syam Menonمشاهده پروفایل

استاد

• Privacy
• Data Mining
• Software Design Optimization
• +۳ مورد دیگر

Syam Menon is a Professor in the Information Systems department at the School of Management , University of Texas at Dallas. He teaches courses such as MIS 6316 Data Communications, MIS 6324 Business Intelligence Software and Techniques, and MIS 6334 Advanced Business Intelligence. PhD , University of Chicago, 1997 MBA , University of Chicago, 1996 BTech , University of Kerala, India, 1989 His research focuses on Privacy , Data Mining , and Software Design Optimization . His work addresses network congestion in peer-to-peer systems, optimization of cellular networks, and privacy-preserving techniques in shared databases. He has published extensively in journals like Information Systems Research , IEEE Transactions on Communications , and Management Science . His recent publications highlight trends in Telecommunications and Computer Science , particularly in Network Optimization , Data Privacy , and Algorithm Design . He is affiliated with professional organizations such as INFORMS , IEEE , ACM , and Association for Information Systems . Contact Syam Menon via syam@utdallas.edu or at (972) 883-4779.

• Computational Imaging
• Compressed Sensing
• Signal Processing
• +۵ مورد دیگر

Dr. Karen Eguiazarian is a Professor of Signal Processing at the Department of Computing Sciences , Tampere University . He leads the Computational Imaging research group and has served as head of the Signal Processing Research Community (SPRC) at Tampere University of Technology (2016-2018). Education: M.Sc. in Mathematics, Yerevan State University, Armenia (1981) Ph.D. in Physics and Mathematics, Moscow State University, Russia (1986) Doctor of Technology in Signal Processing, Tampere University of Technology, Finland (1994) His research focuses on Computational Imaging , Compressed Sensing , and Efficient Signal Processing Algorithms , with significant contributions to Image/Video Restoration and Compression . Recent work includes AI-driven phase imaging, hyperspectral reconstruction, and noise-robust algorithms for remote sensing and biomedical applications. Scientific Awards: Service Award from the Society for Imaging Science and Technology (IS&T) (2014) Honorary Doctoral Degree from Don State-Technical University, Russia (2015) Dr. Eguiazarian has supervised 25 doctoral theses and published over 650 papers. He serves as Editor-in-Chief of the Journal of Electronic Imaging and associate editor of the IEEE Transactions on Image Processing , while co-founding Noiseless Imaging Oy , a Tampere University spin-off.

• Database Systems
• Cybersecurity
• Computer Science Education
• +۳ مورد دیگر

Toni Taipalus is an Assistant Professor (tenure track) in Computing Sciences at Tampere University. His research focuses on database systems, cybersecurity, and computer science education. He has published extensively on SQL query formulation, database education, and cognitive security. His work integrates empirical studies, systematic reviews, and usability-focused design. Recent contributions include curriculum recommendations for data systems education and analysis of citizen perceptions during geopolitical shifts. Taipalus collaborates widely, evidenced by his multi-author publications in venues like ITiCSE and ACM Transactions.

Haibing Luمشاهده پروفایل

استاد

• AI Fairness and Governance
• Data Security & Privacy
• Big Data Analytics
• +۴ مورد دیگر

Haibing Lu is a Professor and Department Co-Chair of Information Systems & Analytics at Santa Clara University's Leavey School of Business. He holds a Ph.D. in Information Technology from Rutgers University (2011), and B.S./M.S. in Mathematics from Xi'an Jiaotong University (2002/2005). His research focuses on AI fairness, data privacy, cybersecurity, and big data analytics, addressing real-world challenges in healthcare, transportation, and cloud computing. Education: Ph.D. in Information Technology, Rutgers University, 2011 M.S. in Mathematics, Xi'an Jiaotong University, 2005 B.S. in Mathematics, Xi'an Jiaotong University, 2002 Research interests include: AI governance and ethical frameworks Privacy-preserving technologies (e.g., differential privacy) Cybersecurity for IoT and smart grids Applications of machine learning in healthcare and transportation His work has been featured in prestigious journals like IEEE Transactions on Dependable and Secure Computing, ACM Transactions on MIS, and M&SOM, alongside media outlets such as The New York Times and WIRED. Key publications include studies on AI fairness in LLMs, privacy in cloud computing, and secure authentication protocols. Awards include: AACSB Innovations That Inspire Award (2021) M&SOM Best Paper Award Repeated SCU Leavey School Excellence Awards for Teaching/Research/Service Grants and funding sources include NSF, IBM, PARC, and industry partnerships like AKTANA and Ultimate Software. He advises on interdisciplinary projects involving data science, cybersecurity, and sustainable energy systems. Labs/Initiatives: Leads research in Information Systems & Analytics at SCU, with collaborations on metaverse-driven data management and AI governance frameworks.

• Cryptography
• Blockchain
• Privacy-Preserving Protocols
• +۳ مورد دیگر

Dr. Tsz Hon Yuen, John is an Associate Professor in the Department of Software Systems and Cybersecurity at Monash University, where he serves as Director of Research and Associate Director (Technology) of the Fintech Impact Lab. He holds a Ph.D. from the University of Wollongong (2010) and has held roles including Assistant Professor at the University of Hong Kong and Senior Researcher at Huawei’s Shield Lab. His research focuses on cryptography, blockchain, and privacy-preserving technologies. Education: Ph.D., University of Wollongong, 2010 M.Phil., Chinese University of Hong Kong, 2006 B.Eng., Chinese University of Hong Kong, 2004 Research Interests: His work spans public key cryptography (e.g., ECDSA security, identity-based encryption), blockchain protocols (e.g., confidential transactions, payment channels), and privacy-enhancing techniques (e.g., zero-knowledge proofs, anonymous credentials). Recent efforts include anti-money laundering analysis in cryptocurrencies and privacy-preserving contact tracing systems. Awards: Best Paper Award, ESORICS 2014 Best Paper Award, ICICT 2018 Professional Contributions: He has authored over 50 papers in top venues (e.g., CRYPTO, Eurocrypt, CCS), holds 10+ patents, and serves on program committees for major security conferences. He co-founded the Hong Kong Monetary Authority’s Central Bank Digital Currency Expert Group. Technical Leadership: As part of Huawei’s Cryptography Expert Group, he developed cryptographic algorithms for products like mobile devices and databases. At Monash, he oversees research strategy and collaborates on projects like PAChain (privacy-focused consortium blockchain).

• Distributed Systems
• Data Management
• Dependability
• +۴ مورد دیگر

Rui Oliveira is an Associate Professor at Universidade do Minho in Portugal, affiliated with the Distributed Systems Group. His research focuses on dependable distributed systems, fault-tolerant database systems, and large-scale distributed systems. He teaches Distributed Systems across undergraduate, master's, and doctoral programs. Research Interests His work spans epidemic communication protocols, data management in cloud environments, and high-performance transactional middleware. Recent contributions include frameworks for privacy-preserving machine learning (SOTERIA), distributed tracing (CAT), and fault-diagnosis tools for I/O behavior analysis. Key Contributions Developed the Loom disaggregated database system, the TADA distributed agreement toolkit, and the DATAFLASKS epidemic storage substrate. His work emphasizes practical implementations of scalable and resilient distributed systems. Labs/Teams Affiliated with HASLab (Hardware and Software Systems Laboratory), focusing on distributed systems research. Collaborates with industry on cloud computing and cybersecurity challenges.

Le Gruenwaldمشاهده پروفایل

استاد

• Database Management
• Information Privacy and Security
• Mobile and Distributed Databases
• +۹ مورد دیگر

Dr. Le Gruenwald is the David W. Franke Professor and Samuel Roberts Noble Foundation Presidential Professor at the School of Computer Science, University of Oklahoma. She also served as Program Director for Data Management Systems at the National Science Foundation (NSF) and held roles including Director of the University of Oklahoma's School of Computer Science. Her academic journey includes a PhD from Southern Methodist University (1990), an M.S. from the University of Houston, and a B.S. in Physics from the University of Saigon, Vietnam. Research Interests: Her work focuses on Database Management Information Privacy & Security Mobile/Distributed Databases Data Mining Quantum Computing Applications in Databases Outlier Detection in Data Streams Key Projects: Includes NSF-funded research on GPU-accelerated spatial data processing, cloud query optimization, and big data hubs. Notable projects: "Spatial Data Management on GPUs" (2013), "Big Data Innovation Hub for the South" (2015), and quantum data science initiatives (2023). Awards: 2012 NSF Directorate Recognition 2007 Distinguished Alumnus Award (SMU) 2009 ACM Recognition Award 2016-2017 Semantic Big Data Workshop Leadership Advising & Grants: Oversees NSF grants totaling millions, focusing on cyberinfrastructure, ecological forecasting, and medical data analytics. No formal student advisees listed but collaborates extensively with researchers globally. Labs & Teams: Leads initiatives in quantum database optimization, mobile-cloud systems, and GPU-accelerated spatial analytics within OU's School of Computer Science.

Enrique Román Calvoمشاهده پروفایل

پژوهشگر

• Program Verification
• Concurrency
• Distributed Systems

Enrique Román Calvo is a Postdoctoral Researcher in the Department of Computer Science at the University of Freiburg, working under Professor Andreas Podelski. His research focuses on program verification, concurrency, and distributed systems. He received his PhD from Institut de Recherche en Informatique Fondamentale (IRIF) with a thesis on "Specification and Verification of Isolation Levels in Distributed Storage Systems". He also holds a Master's in Mathematical Logic and Foundations of Computer Science, and Bachelor degrees in Mathematics and Computer Engineering from Complutense University of Madrid. His primary research interests include program verification techniques for concurrent and distributed systems. He investigates dynamic partial order reduction methods to efficiently verify correctness against transaction isolation levels in distributed databases. His work bridges theoretical formal methods with practical systems challenges. His recent publication at PLDI 2023 on dynamic partial order reduction for transaction isolation levels reflects a trend in applying formal verification to distributed systems, with emphasis on scalability and correctness guarantees. No scientific awards were mentioned in the provided information. Dr. Calvo invites students to contact him for project supervisions and thesis work in program verification and distributed systems, indicating active involvement in mentoring. He is a member of the research group led by Andreas Podelski at the University of Freiburg, contributing to the group's expertise in program analysis and verification tools.

Gottfried Vossenمشاهده پروفایل

استاد

• Business Process Modeling
• Cloud Computing
• Databases and Information Systems
• +۶ مورد دیگر

Prof. Dr. Gottfried Vossen is a Professor and Chair of Business Information Systems at the University of Münster (WWU). He holds a habilitation and doctorate from RWTH Aachen University. His roles include Director of the European Research Center for Information Systems (ERCIS) until December 2023, and Honorary Professor at the University of Waikato, New Zealand. He is a Fellow of the German Informatics Society (GI) and a member of numerous editorial boards and professional organizations. His research focuses on business process modeling, cloud computing, databases, and Big Data applications. Notable projects include the ERCIS Omni-Channel Lab and Big Data Laboratory. He has authored over 200 publications and received awards such as the Best Paper Award at CBI 2019 and the Women's Advancement Award (2005). Current affiliations include the Institute for Information Systems and the Münster School of Business and Economics. His teaching spans advanced courses on business modeling, entrepreneurship, and data analytics.

Jusak Jusakمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Telehealthcare
• Blockchain Technology
• +۳ مورد دیگر

Dr. Jusak Jusak is a Senior Lecturer in Internet of Things (IoT) at the School of Science and Technology, James Cook University Singapore. He holds a PhD in Electrical Engineering from RMIT University and a BEng in Electrical Engineering from Brawijaya University, Indonesia. His research focuses on IoT applications in telehealthcare, blockchain for healthcare IoT, and lightweight machine learning for constrained devices. Dr. Jusak has held academic positions at Dinamika University (Surabaya, Indonesia) and Massey University (New Zealand). He has secured grants including a Cross-Campus Collaboration Grant for blockchain development and a Teaching Innovation Grant for the VetheRBlocks project. He is a Guest Editor for the Electronics journal's special issue on wireless communication security. His research interests include IoT device development for medical signal analysis, secure cloud-based healthcare systems, and hybrid-channel communication for rural healthcare. He has published over 20 peer-reviewed articles and received awards such as the ICITAS 2018 Best Paper Award and a 2022 Futuristic Technology Award for IoT-based water quality monitoring. Dr. Jusak's work emphasizes practical IoT solutions for healthcare challenges, integrating machine learning and blockchain to enhance data security and accessibility in distributed networks.

• Information Systems
• Data Warehousing
• Database Management
• +۵ مورد دیگر

Dr. Nataša Goјgić is a Professor of Applied Studies at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac. Her academic career spans decades of teaching and research in information systems, databases, and technology-enhanced education. Military Technical Faculty in Zagreb (Mechanical Engineering) Master's in Information Systems at Technical Faculty Čačak PhD in Information Systems Integration and Quality Management Dr. Goјgić's research focuses on information systems , data warehousing , and educational technology . Her publications reveal strong interests in: Business Intelligence and OLAP systems Regression algorithms in healthcare E-learning platforms and teaching methodologies Quality Management Systems (QMS) integration Database monitoring and financial technology She has pioneered the use of information systems in academic quality assurance and developed teaching materials for database systems. Her work bridges industrial engineering and modern information technologies.

Jingguo Wangمشاهده پروفایل

استاد

• Information Systems
• Cybersecurity
• Cybercrime
• +۳ مورد دیگر

Dr. Jingguo Wang is a Professor in the Department of Information Systems and Operations Management at the University of Texas at Arlington (UTA), holding the Eunice and James L. West Professorship. He joined UTA in 2007 after completing his Ph.D. in Management Science and Systems at SUNY Buffalo. With expertise in information systems, cybercrime, and information security, he teaches cybersecurity, data communication, database management, and Ph.D. seminars. Ph.D., Management Science and Systems, State University of New York at Buffalo (2007) M.S., Industrial Engineering (Operations Research), SUNY Buffalo (2005) B.S., Computer Science, Fudan University (1998) His research focuses on cybersecurity, phishing susceptibility, information security policy compliance, and social influence in digital contexts. He explores how organizational, psychological, and technological factors shape security behaviors and digital risk management. The 15 most recent articles highlight his work on insider threats, peer monitoring, stress-induced compliance failures, and the impact of social media and technology on security decisions. These contributions span journals like MIS Quarterly, Decision Support Systems, and Information Systems Research. Dr. Wang has secured funding from the National Science Foundation and UTA, including collaborative projects on insider threat modeling and user authentication systems. He serves as Senior Editor for the Journal of the Association for Information Systems and has held Associate Editor roles.