جست‌وجوی استاد و پژوهشگر

Dan Pescaruمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Wireless Sensor Networks
• Computer Vision
• +۳ مورد دیگر

Dr. Dan Pescaru is an Associate Professor at the Department of Computer Science and Engineering, Politehnica University of Timisoara. His professional career includes roles as Lecturer (1999-2006) and Teaching & Research Assistant (1997-1999). He holds a Ph.D. in Computers (2003) and MS/BS degrees from the same institution. His research focuses on Cyber-Physical Systems, Wireless Sensor Networks, Computer Vision, and Artificial Intelligence, leading the SeNT research team. He has published over 90 papers and contributed to 12 grants/projects. Education: PhD: Politehnica University of Timisoara (2003) MSc: Politehnica University of Timisoara (1997) BSc: Politehnica University of Timisoara (1995) Research Interests: Cyber-Physical Systems: Sensor networks design, camera-based systems Computer Vision: Image/video processing, CNN applications Databases: Relational/oo/distributed systems Artificial Intelligence: Expert systems, machine learning, fuzzy logic He has served as a reviewer for journals like IEEE Transactions on Image Processing, MDPI Sensors, and conferences including SACI and PDCN. His work includes invited professorships at Dublin City University and Sophia Antipolis University. Active in professional organizations like IEEE and SNIA.

Yidan Huمشاهده پروفایل

استادیار

• Data Privacy
• Cybersecurity
• Network Security
• +۳ مورد دیگر

Yidan Hu is an Assistant Professor in the Department of Cybersecurity at the Rochester Institute of Technology (RIT), part of the Golisano College of Computing and Information Sciences. She holds a B.E. and M.E. in Computer Science from Hangzhou Dianzi University (China) and a Ph.D. in Computer Science from the University of Delaware (2021). Her research focuses on data privacy and cybersecurity, particularly in network and distributed systems, including wireless networks, mobile edge computing, and privacy-preserving machine learning. Education: B.E. and M.E., Computer Science, Hangzhou Dianzi University (2013-2016) Ph.D., Computer Science, University of Delaware (2021) Key Awards: NSF CRII Award (2023) Meta Research Award (2022) Best Paper Award at IEEE CNS 2023 Research Themes: Data privacy in distributed systems (e.g., IoT, edge computing) Privacy-preserving machine learning Secure authentication and query processing Her work bridges theoretical foundations and practical applications, with publications in top venues like IEEE INFOCOM, PETs, and TON. She currently teaches courses on authentication models and cybersecurity research. Grants & Funding: NSF CRII Award (2023) Meta Research Award (2022) Professional Service: TPC Member for IEEE INFOCOM 2025 Reviewer for IEEE Transactions on Networking and other journals

Hallgeir Nilsenمشاهده پروفایل

مدرس ارشد

• Educational Technology
• Information Systems Education
• Computer Science Pedagogy
• +۴ مورد دیگر

Hallgeir Nilsen is a Senior Lecturer in the Department of Information Systems at the University of Agder, Norway. His research focuses on educational technology, information systems pedagogy, and user-centered IT solutions. He has extensively studied personalized instruction methods in programming education, student motivation in IT studies, and the application of ICT in healthcare services. Nilsen has collaborated with researchers like Sandeep Purao and Maung Sein on projects addressing user support systems and IT strategy implementation. His work bridges theoretical frameworks with practical educational challenges, emphasizing action research methodologies. Key research areas include: Personalized learning strategies in computer science education ICT adoption in healthcare and home care services Student retention and motivation in IT programs XML and database technologies in business education Publications span journals like IEEE Transactions on Education and conferences such as NOKOBIT, with a focus on improving pedagogical practices and understanding user needs in IT systems.

• Data Analytics
• E-commerce
• Information Systems
• +۳ مورد دیگر

Abhijeet Ghoshal is an Associate Professor in the Department of Business Administration at the University of Illinois. He is affiliated with the Office of Risk Management and Insurance Research (ORMIR) and serves as a Faculty Fellow in Finance. His research focuses on data analytics, e-commerce, information systems, and security, with particular emphasis on transactional databases, consumer behavior, and platform optimization. He holds an editorial role at the Information Systems Research journal since 2020. Key research areas include analyzing e-commerce product lifecycle strategies, optimizing customer lifetime value through clickstream data, and enhancing security in transactional systems. His work bridges operations management with data science, addressing challenges in privacy preservation, platform governance, and pricing strategies. Recent studies include identifying underperforming products on e-commerce platforms and designing algorithms to hide sensitive association rules in databases. Collaborations span academia and industry, with publications in top journals like Production and Operations Management and Management Science . His contributions to healthcare analytics include predicting hospital readmission costs using machine learning. While no awards are explicitly listed, his impactful research has garnered significant readership (e.g., 52 Mendeley readers for his 2023 JMIS paper). He advises on editorial boards and contributes to policy discussions on security education vs. enforcement mechanisms. His research frequently intersects with practical applications, such as mobile ad contract optimization and vendor pricing strategies.

Marianne S Winslettمشاهده پروفایل

عضو هیئت علمی

• Information Security
• Scientific Data Management
• Database Systems
• +۳ مورد دیگر

Marianne S Winslett is a Professor Emerita in the Department of Computer Science at the University of Illinois, Urbana-Champaign, where she has held positions including Research Professor (2005–present), Adjunct Professor (2000–2005), and full Professor (1999). Her research focuses on information security, scientific data management, and privacy-preserving technologies. She received her Ph.D. in Computer Science from Stanford University in 1987. Winslett has served on editorial boards of major journals, including ACM Transactions on Information and System Security and ACM Transactions on the Web. She held leadership roles such as Vice-Chair of ACM SIGMOD (2001–2005). Her honors include ACM Fellow (2007), NSF Presidential Young Investigator Award (1989), and the Stanley H. Pierce Award (1999). Her work spans database systems, cybersecurity, and differential privacy. Recent contributions include frameworks for detecting cyberattacks in smart grids and methods for compressing large-scale machine learning models. She leads the DAIS (Data and Information Systems) Laboratory at UIUC, advancing research in scientific data management and privacy. Education: Ph.D., Computer Science, Stanford University, 1987 Key Roles: DAIS Lab Director, Editorial Board Member (ACM Transactions), SIGMOD Leadership Labs/Teams: DAIS Laboratory, UIUC Computer Science Department

Athina Ioannouمشاهده پروفایل

مدرس ارشد

• Privacy and Data Management
• IT Innovation Adoption & Diffusion
• Adaptive and Maladaptive Uses of IT (Technostress)
• +۶ مورد دیگر

Athina Ioannou is a Senior Lecturer in Business Analytics at the University of Surrey, affiliated with the Surrey Business School and the Faculty of Arts, Business and Social Sciences. She holds a PhD in Computer Science from Brunel University London (2018), an MSc in Business Information Systems from City University London (2013), and a BSc in Finance and Accounting from the University of Macedonia, Greece (2011). Her research focuses on privacy and data management, IT innovation adoption, technostress mitigation through mindfulness, and machine learning applications in business analytics. Key research projects include the EPSRC-funded PriVELT project (2018–2021), addressing privacy-aware personal data management in leisure travel. She explores themes like smart tourism privacy, IoT adoption challenges in retail, and behavioral responses to surveillance during health crises. Her work bridges technology ethics and organizational practice, emphasizing user-centric privacy frameworks and mindfulness interventions. Education: PhD in Computer Science, Brunel University London (2018) MSc Business Information Systems, City University London (2013) BSc Finance & Accounting, University of Macedonia (2011) Her research interests emphasize privacy dynamics in digital environments, particularly in travel and healthcare contexts. She investigates mechanisms like nudges and mindfulness to balance innovation with ethical data practices. Recent studies include machine learning for cross-selling accuracy, IoT security in smart stores, and metaverse privacy concerns. She has received the 2017 Best Paper Award in the SIGADIT Track at AMCIS for work on IT mindfulness and technostress. Her contributions span academic journals, conferences, and industry-oriented frameworks for privacy-aware systems design.

• Federated Learning
• Privacy-Preserving Computing
• Cryptography
• +۳ مورد دیگر

Marvin Xhemrishi is a Researcher and PhD Candidate at the Technical University of Munich (TUM), affiliated with the Institute for Communications Engineering. He holds a M.Sc. in Communications Engineering (high distinction, TUM 2019) and a B.Sc. in Telecommunications Engineering from the Polytechnik University of Tirana (2017). His research focuses on federated learning security, privacy-preserving computing, and distributed systems. He has conducted visiting research at Chalmers University of Technology and AI Sweden (2022-2023). His work addresses challenges in secure aggregation, malicious client detection, and sparsity-privacy trade-offs in distributed computing frameworks. He contributes to advancements in coded computing, cryptography applications in machine learning, and hardware security through Physical Unclonable Functions (PUFs). Key research directions include federated learning security (e.g., FedGT framework for malicious client identification), privacy-preserving distributed algorithms, and cryptographic techniques for communication systems. His publications span IEEE Transactions, international symposia, and workshops, with recent focus on group testing applications in federated learning and secure distributed matrix operations.

Julieanna Powell-Turnerمشاهده پروفایل

استاد

• Environmental Sustainability
• Climate Change Resilience
• Resource Security
• +۲ مورد دیگر

Julieanna Powell-Turner is Professor of Environmental Organisational Sustainability and Associate Dean for Research and Innovation at the University of Chester's Faculty of Science, Business and Enterprise. She leads the Centre for Research into Environmental and Sustainable Transitions (CREST), driving interdisciplinary work on climate resilience, resource security, and social cohesion aligned with UN SDGs. With 20+ years in sustainability research, she has secured significant UKRI funding and supervised doctoral projects in decarbonization and green skills. Her recent publications focus on climate action governance (2025), corporate sustainability barriers (2025), and semantic access controls for healthcare systems (2022-2024). Powell-Turner oversees institutional research frameworks including REF/KEF and manages postgraduate programs, emphasizing participatory action research and cross-sector partnerships.

Wei Huangمشاهده پروفایل

مدرس ارشد

• Computer Science
• Optimization
• Operations Research
• +۴ مورد دیگر

Dr. Wei Huang is a Principal Lecturer in Computing and Information Systems at the University of Bedfordshire's School of Computer Science and Technology. He joined the university in 2004, progressing from Lecturer to Senior Lecturer (2007) and Principal Lecturer (2012). His research focuses on optimization, network security, software engineering, and mobile/web application development. He holds a PhD in Computer Science from Loughborough University and degrees from South China University of Technology. He has supervised four research students and led externally funded projects, including an EPSRC-funded initiative (2009–2012) on network security countermeasure optimization and a KEEP project (2006) developing web applications for SMEs. His work includes over 40 publications, and he serves as a Guest Editor-in-Chief for the Journal of Computer Applications in Technology. Dr. Huang has been an examiner for PhD students at multiple UK universities and actively reviews for journals like IEEE Transactions on Systems, Man, and Cybernetics. He teaches courses in mobile network design, software engineering, and database systems, and currently leads postgraduate course management in his school.

Martin Prammerمشاهده پروفایل

پژوهشگر ارشد

• Database Systems
• Computer Architecture
• Data Analytics
• +۳ مورد دیگر

Martin Prammer is a Post Doctoral Fellow at the Computer Science Department of Carnegie Mellon University. His research focuses on database systems, computer architecture, and data analytics acceleration through hardware-software co-design. Office: Gates and Hillman Centers, Room 9118 Email: mprammer@cmu.edu Dr. Prammer's work explores innovative approaches to database optimization, including: Algorithmic-hardware co-design for dense retrieval systems DRAM-PIM (Processing-in-Memory) integration for analytics acceleration Functional decomposition of storage formats Efficient integer encoding for skewed data processing His research has been applied to both theoretical advancements and practical implementations in SQLite optimization and mobile application testing. Current projects demonstrate strong connections between database engineering, computer architecture, and software systems research.

• Compiler Optimization
• Static Program Analysis
• Datalog Systems
• +۵ مورد دیگر

Professor Bernhard Scholz is a faculty member in the School of Computer Science at the University of Sydney . He specializes in compiler optimization, static program analysis, Datalog systems, blockchain technology, and parallel processing. His research focuses on improving compiler efficiency, analyzing complex programs, and developing tools for smart contract security. He holds a professorial position and has been involved in significant projects like the Fantom blockchain partnership, which funds specialized blockchain research. His work includes developing the Soufflé Datalog compiler and tools like MadMax for smart contract analysis. Research interests span compiler design, formal verification, distributed systems, and energy-efficient computing. His recent work emphasizes blockchain security, Datalog scalability, and parallel execution optimization. Notable contributions include EVMTracer for Ethereum analysis and Julia Cloud Matrix Machine for cloud-based matrix computations. Key grants include ARC Discovery Projects on heterogeneous systems and smart contracts. Awards include industry partnerships and sustained research funding. He advises on large-scale program analysis and has collaborated globally with institutions like ETH Zurich and Fantom Foundation. Labs and collaborations include the University of Sydney's Blockchain Lab and Fantom-funded projects. His work bridges theoretical compiler research with practical applications in security and distributed systems.

• Geostatistics
• Big Data Processing
• Computer Systems
• +۶ مورد دیگر

Dr. John Zigman is an academic affiliated with the Faculty of Engineering at The University of Sydney. His research spans interdisciplinary fields including geostatistics, big data processing, and computer systems optimization. He has contributed to advancements in geological boundary modeling, memory management frameworks for hybrid systems, and Java performance analysis. Key research interests include: Geological modeling using Bayesian approaches and dynamic time warping Development of holistic memory management systems (e.g., Panthera framework) Optimization of parallel computing architectures and distributed garbage collection Integration of geophysical data with autonomous spatial modeling algorithms Recent work focuses on photonic integrated circuits (2025), Java performance re-engineering (2025), and large-scale geological boundary rectification (2023). His publications demonstrate expertise in both theoretical computer science and applied geosciences. Notable collaborations include work with Prof. Arman Melkumyan on geostatistical applications and Prof. Stephen Blackburn on persistent Java systems. His research bridges computational methods with earth sciences, addressing challenges in resource exploration and data-intensive systems.

• Parallel and Distributed Computing
• Networking
• Complex Systems
• +۵ مورد دیگر

Albert Zomaya is the Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at The University of Sydney. He holds a PhD and is a Fellow of multiple prestigious institutions including the Australian Academy of Science and the Royal Society of New South Wales. His research focuses on parallel and distributed computing, networking, and complex systems, with applications in cybersecurity, cloud computing, and IoT. He has authored over 700 publications, 30 books, and edited numerous journals. His awards include the ACM MSWIM Reginald A. Fessenden Award and the New South Wales Premier’s Prize for Engineering. Education: PhD, along with extensive academic and industry experience across multiple institutions including the University of Western Australia and the University of Sydney. Research interests span distributed computing, high-performance systems, energy-efficient scheduling, and bioinformatics applications. His work impacts national security, healthcare, and industrial productivity through advancements in computing technologies. Awards highlight his contributions to scalable computing, parallel processing, and sustainable computing. He serves on editorial boards of major journals like ACM Computing Surveys and IEEE Transactions on Computers. Advising and grants include mentoring numerous PhD students and leading projects like the ARC Professorial Fellowship on energy-aware scheduling. He directs research centers and collaborates with industry partners to translate theoretical advancements into practical solutions. Labs and teams: Leads the Centre for Distributed and High Performance Computing, and collaborates with institutions like the Net Zero Institute and the University of Sydney Nano Institute.

Antony Hoskingمشاهده پروفایل

استاد

• Programming Languages
• Software Systems
• Software Assurance
• +۷ مورد دیگر

Antony Hosking is a Professor and School Director of the School of Computing at the Australian National University (ANU). He holds a BSc in Mathematical Sciences from the University of Adelaide (1985), MSc with First Class Honours in Computer Science from the University of Waikato (1987), and a PhD in Computer Science from the University of Massachusetts Amherst (1995). Prior to ANU, he served for over 20 years at Purdue University as Assistant Professor and later tenured Associate Professor of Computer Science. He is also an Honorary Professor at the University of Massachusetts Amherst. His research focuses on programming languages, software systems, and software assurance, with particular expertise in garbage collection, memory management, compiler optimizations, and architectural support for programming languages. He co-authored the seminal reference text *The Garbage Collection Handbook*, now in its second edition (2023), and has contributed extensively to conferences like ACM SIGPLAN. He has held leadership roles in professional organizations, including the Executive Committee of ACM SIGPLAN and the International Symposium on Memory Management. Hosking’s accolades include being a Distinguished Scientist of the Association for Computing Machinery (ACM), an elected member of Association Internationale pour les Technologies Objets (AITO), and a Professional Member of IEEE. His consulting work involves intellectual property litigation in US courts and the US Patent and Trademark Office. He has advised on high-performance garbage collectors, concurrency, and real-time systems, with a focus on energy-aware and persistent storage solutions. His recent work addresses foundational assurance in systems software, aiming to build trustworthy systems. He collaborates on projects like the Single-Chip Cloud Computer and explores portable performance for parallel managed languages across multi-core architectures.

• Quantum Computing
• Smart Grid
• Machine Learning
• +۳ مورد دیگر

Junpeng Zhan is an Assistant Professor in the Department of Renewable Energy Engineering at the Inamori School of Engineering, Alfred University. He earned his B.S. and Ph.D. in Electrical Engineering from Zhejiang University (2009, 2014). His research focuses on quantum computing, smart grid technologies, and optimization methods, with a particular interest in solving NP-complete problems using hybrid quantum-classical algorithms like the Variational Quantum Search. He has held positions at Brookhaven National Laboratory and the University of Saskatchewan. Education: B.S. (Electrical Engineering, Zhejiang University, 2009), Ph.D. (Electrical Engineering, Zhejiang University, 2014). Research interests include quantum algorithms, machine learning applications in power systems, and renewable energy integration. Current grants include NSF-funded work on variational quantum algorithms for power system simulation and ISO-New England-funded projects on quantum computing for unit commitment. Teaching includes courses like Power System Operation and Python for Power Systems Research. He is an Associate Editor of IET Generation, Transmission & Distribution and has authored over 50 publications.