جستجوی استاد راهنمای دانشگاهی

Polycarpou Mariosمشاهده پروفایل

استاد

• Neural networks
• Cyber-physical security
• Fault diagnosis
• +۴ مورد دیگر

Professor Marios Polycarpou is a leading academic in intelligent systems and control engineering at the University of Cyprus, serving as Director of the KIOS Research and Innovation Center. He holds concurrent roles as Visiting Professor at Imperial College London and Founding Member of the Cyprus Academy of Sciences. His expertise spans neural networks, cyber-physical security, and critical infrastructure systems. Education: B.A. Computer Science & B.Sc. Electrical Engineering, Rice University, 1987 M.S. & Ph.D. Electrical Engineering, University of Southern California, 1989-1992 Research Interests: Intelligent systems and networks Adaptive learning control systems Fault diagnosis methodologies Machine learning applications Critical infrastructure resilience Awards: IEEE Neural Networks Pioneer Award (2016) ERC Advanced and Synergy Grants IEEE/IFAC Fellowships Cyprus Distinguished Researcher Award (2015) Grants & Leadership: Directed over 40 research projects Presidency roles in IEEE Computational Intelligence Society and European Control Association Edited prestigious journals including IEEE Transactions on Neural Networks Led major conferences: 2020 IEEE World Congress on Computational Intelligence and 2018 European Control Conference. Labs & Teams: Founder of KIOS Center (EU-funded excellence center) Developed SEMIoTICS semantic control framework

Dave Perkinsمشاهده پروفایل

دانشیار

• Computer Science Education
• Learning Analytics
• Educational Technology
• +۳ مورد دیگر

Dr. Dave Perkins is an Associate Professor (Reader) in Computer Science and Director of Teaching & Learning at Bangor University's School of Computer Science and Engineering. He additionally serves as the University Lead for Technology and Innovation in Teaching at the Centre for Enhancement of Learning and Teaching (CELT), driving educational technology initiatives across the institution. His leadership extends to the North West Wales Computing at Schools (CAS) Hub where he develops computer science education programs. Educational background includes: MEng in Computer Systems Engineering (University College of North Wales, Bangor, 2000) PhD in Optoelectronics (University of Wales, Bangor, 2004) Post Graduate Certificate in Education (University of Newport, 2012) His research focuses on computer science pedagogy , learning analytics , and educational technology innovation . He pioneers novel approaches to teaching through technological repurposing and develops analytical frameworks for understanding student journeys. Current investigations center on predictive modeling of student outcomes using machine learning and visualization techniques to enhance academic interventions. Publication analysis reveals two distinct research phases: early foundational work in optoelectronics and laser physics (2001-2005), followed by a contemporary focus on educational technology and learning analytics (2015-present). Current works demonstrate strong thematic clustering around student journey visualization, early-warning systems, and immersive educational interfaces. Honors and awards: Senior Fellowship, Higher Education Academy (2015) Bangor University Teaching Fellowship (2016) He leads significant projects including the JISC/Bangor Learning Analytics initiative and supervises postgraduate research in learner analytics. As former Regional Coordinator of Technocamps, he established outreach programs connecting universities with schools. Administrative responsibilities encompass admissions, employability programs, and institutional curriculum development.

Michalis Mountantonakisمشاهده پروفایل

پژوهشگر

• Large-Scale Semantic Data Integration
• Linked Open Data
• Semantic Web
• +۴ مورد دیگر

Michalis Mountantonakis is a Postdoctoral Researcher at FORTH and Laboratory Teaching Staff in the Department of Computer Science at the University of Crete, Greece. He holds a PhD (2020), MSc (2016), and BSc (2014) in Computer Science from the University of Crete, all with top grades. His research focuses on Large-Scale Semantic Data Integration, Linked Open Data, and Semantic Web technologies, with over 45 publications in top venues like ACM VLDB, ISWC, and ECML. He has been awarded the prestigious SWSA Distinguished Dissertation Award (2020) and the Maria Michael Manasaki Fellowship (2020). His work includes tools like LODsyndesis and LODChain, addressing challenges in knowledge graph connectivity and validation of AI-generated content. Education: PhD in Computer Science (2016-2020), University of Crete (Excellent GPA 9.74/10) MSc in Computer Science (2014-2016), University of Crete (Excellent GPA 9.87/10) BSc in Computer Science (2010-2014), University of Crete (2nd in class with GPA 8.42/10) Research Interests: His work bridges semantic web technologies with modern AI challenges, emphasizing large-scale data integration, knowledge graph applications, and validation frameworks. He has contributed to cultural heritage informatics, machine learning-augmented semantic systems, and cross-lingual NLP solutions. Recent trends include leveraging LLMs for query generation and semantic enrichment while ensuring factual accuracy through knowledge graph-driven validation. Key Achievements: Developed LODsyndesis, a global-scale semantic integration service Pioneered real-time validation of ChatGPT responses using RDF knowledge graphs Won Best Paper Award (ISWC 2022) for entity enrichment techniques Recipient of Stelios Orphanoudakis Undergraduate Fellowship (2013-2014) Participated in Roche Continents 2019 (top 100 European science students) Grants & Labs: His research has been supported by GSRT/HFRI. He collaborates with FORTH-ICS and leads projects in EU-funded initiatives like iMarine and BlueBridge. Current work focuses on governance models for ontologies, interoperable thesaurus creation (e.g., FoodEx2), and semantic analytics for cultural heritage datasets.

• Databases
• Information Systems
• Data Management
• +۹ مورد دیگر

Johann Eder is a full professor for Information and Communication Systems at the Department of Informatics Systems, University of Klagenfurt, Austria, and currently serves as Deputy Head of Department. He previously held positions at the Universities of Linz, Hamburg, Vienna, and Klagenfurt, and was Vice President of the Austrian Science Funds (FWF) from 2005-2013. He was also a visiting scholar at AT&T Shannon Labs, NJ. Educational Background: Diplom-Ingenieur, University of Linz Doctor of Technical Sciences, University of Linz Johann Eder's research focuses on databases, information systems, and data management for medical research, including temporal information modeling, process evolution, and workflow systems. His work spans temporal data warehousing, exception handling in workflows, and application interoperability, with a particular emphasis on privacy and quality in medical data lakes and federated biobanks. Recent publications highlight trends in temporal reasoning for business processes, medical data quality, and service composition optimization. His editorial roles include positions at ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering . He leads the Information and Communication Systems Research Group at AAU, contributing to projects like federated biobank integration and blockchain-based smart contracts.

Mark Heinrichمشاهده پروفایل

دانشیار

• Parallel Computer Architecture
• Heterogeneous Architectures
• Active Memory and I/O Systems
• +۴ مورد دیگر

Mark Heinrich is an Associate Professor in the Department of Computer Science at the University of Central Florida (UCF), where he also serves as Undergraduate Coordinator for CS and IT, and Senior Design Coordinator. He previously held roles at Cornell University and has industry experience co-founding companies like Phanfare and Flashbase. His research focuses on parallel computer architecture, heterogeneous systems, cache coherence protocols, and multiprocessor simulation. Heinrich holds a Ph.D. in Electrical Engineering from Stanford University (1998) under John Hennessy, and a B.S. in Electrical Engineering and Computer Science from Duke University (1991). Research Interests His work spans parallel architectures, active memory systems, scalable cache coherence protocols, and hardware/software co-design. Recent efforts include innovations in persistent memory technologies and multiprocessor simulation methodologies. Teaching In Spring 2020, he taught CS Senior Design I and II courses (COP 4934/4935), with office hours focused on senior design and undergraduate coordination. Professional Background Associate Professor at UCF since 2003 Past roles: Director of UCF's School of Computer Science (2005), Associate Director of EECS (2005-2007) Co-founder of the Cornell Computer Systems Laboratory Contributed to the FLASH multiprocessor architecture and its simulation tools Labs & Projects He has been involved in projects like Active Memory Clusters and architectural support for multiprocessor systems. His work often bridges theoretical computer architecture with practical hardware implementations.

Enrico Franconiمشاهده پروفایل

استاد

• Knowledge Representation
• Artificial Intelligence
• Semantic Technologies
• +۶ مورد دیگر

Enrico Franconi is a tenured full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy. He is the founder and director of the KRDB Research Centre for Knowledge-based Artificial Intelligence, established in 2002. His research focuses on applying database, AI, and semantic technologies to address challenges in information systems design, data integration, and big data analysis. He holds leadership roles including former Vice-Rector for Research (2005-2006) and director of the European Masters Program in Computational Logic (2004-2019). His academic contributions span Description Logics, knowledge representation, and ontology engineering, with a strong emphasis on theoretical foundations and practical applications. He has led numerous EU-funded projects, including ONTORULE and SeWAsIE, and contributed to international conferences as a program committee member and keynote speaker. His work bridges theory and practice, aiming to translate foundational results into real-world solutions. He is a prolific author with an h-index of 42 and has mentored researchers in areas like semantic web technologies and conceptual modeling. Key achievements include advancing ontology-driven data integration, developing tools like ICOM for conceptual modeling, and contributing to standards for semantic web languages. He is affiliated with the Computational Logic community and actively participates in international research networks such as CAIRNE. His research has been recognized through ANVUR evaluations ranking his department among Italy’s top computer science faculties.

Andrew Readمشاهده پروفایل

استاد

• Conservation Biology
• Marine Biology
• Ecology
• +۳ مورد دیگر

Andrew Read is the Stephen A. Toth Professor of Marine Biology and Director of the Duke Marine Lab at Duke University's Nicholas School of the Environment. His research focuses on the conservation biology of marine vertebrates, including marine mammals, seabirds, and sea turtles, with an emphasis on understanding the impacts of human activities on these species. He employs fieldwork, experimentation, and modeling to develop new conservation tools. Read holds a Ph.D., M.S., and B.S. from the University of Guelph, Canada. Recent grants include projects on Cuvier's beaked whale ecosystems and photo identification analysis, funded by organizations like HDR, Inc. and Kelp Marine Research. His lab's work spans topics such as whale behavior, climate change impacts, and fisheries management. The Read Lab actively collaborates on field studies and policy initiatives to address conservation challenges. He advises students in marine conservation and ecology, though specific advisee names are not listed here. The Duke Marine Lab is a key hub for his research, located in Beaufort, North Carolina. Read's research interests emphasize practical solutions for marine conservation, including acoustic monitoring, habitat use analysis, and the intersection of oceanography with foraging ecology. His publications highlight innovations in tracking methods and policy advocacy, such as efforts to protect the vaquita porpoise from gill nets. His interdisciplinary approach combines ecological studies with technological advancements like LiDAR for coastal resilience planning.

• Energy Informatics
• Building Energy Simulation
• Multi-Scale Energy Modelling
• +۴ مورد دیگر

James O'Donnell is an Associate Professor in the School of Mechanical and Materials Engineering at University College Dublin (UCD). He joined UCD in 2013 after working at Lawrence Berkeley National Laboratory. His research focuses on multi-scale energy modeling, interoperable BIM solutions, and sustainable building design. He contributes to buildingSMART’s Energy Modelling Expert Panel and teaches modules on building physics and energy analysis. Education: B.E. Civil and Environmental Engineering, University College Cork Ph.D. in Holistic Building Performance Analysis, University College Cork Professional Diploma in University Teaching & Learning, University College Dublin Research Interests: James specializes in energy informatics, building energy simulation, and semantic web technologies for the built environment. His work bridges BIM integration with energy modeling to optimize urban-scale performance. Grants & Funding: PROBONO (2022–2026): Integrator-centric approach for energy-efficient buildings NexSys (2022–2026): Next-Generation Energy Systems ALIVE (2020–2024): Indoor Environmental Quality in Energy-Efficient Buildings Teaching & Editorial Roles: James coordinates courses like Energy Systems in Buildings and serves as an Associate Editor for Journal of Building Engineering and editorial board member of Advanced Engineering Informatics . Professional Affiliations: Member of Engineers Ireland, International Building Performance Simulation Association (IBPSA), and European Council on Computing in Construction.

• Data Governance
• AI Ethics
• Data Protection
• +۴ مورد دیگر

Dr. Rob Brennan is an Assistant Professor in the School of Computer Science at University College Dublin. With 25 years of academic and industry experience, he specializes in data governance, AI ethics, and cybersecurity. His research integrates socio-technical systems analysis, data protection frameworks, and healthcare risk management. He leads the Value and Risk research challenge within the ADAPT Centre's Transparent Digital Governance initiative and coordinates projects like the ARK platform for risk governance. Education: BSc in Physics, Dublin City University MSc, Queen's University Belfast PhD in Governance, Dublin City University Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Data Governance & AI Accountability GDPR Compliance & Privacy Engineering Healthcare Risk Management Knowledge Graphs & Linked Data Cybersecurity & Incident Response Key Contributions: Co-PI of Science Foundation Ireland's Empower Data Governance project Coordinator of the €4M H2020 ALIGNED project on software/data engineering Developed the ARK platform for risk governance in healthcare and cybersecurity Grants & Awards: Best Paper Award at Extended Semantic Web Conference 2023 Principal Investigator for grants including the ARK-Virus platform (SFI-funded) Teaching & Mentorship: Coordinates courses on Cyber Risk Assessment, Incident Response, and Data Protection Supervises PhD students focusing on data governance and AI ethics Co-developed the MA in Data Protection and Privacy Law with Computing Professional Activities: Member of FAccT 2023 Program Committee Co-chair of the Irish Conference on Artificial Intelligence and Cognitive Science Contributor to international standards (OMG, IETF, 3GPP)

Norbert Ritterمشاهده پروفایل

استاد

• Databases and Information Systems
• New Database Technology (NoSQL)
• Scalable Cloud Data Management
• +۹ مورد دیگر

Prof. Norbert Ritter is the Dean of the Faculty of Mathematics, Computer Science and Natural Sciences (MIN) at the University of Hamburg since August 2022. He holds a full professorship in the Department of Informatics, leading the Databases and Information Systems group. Previously, he served as an associate professor (2002–2005) and assistant professor (1998–2002) at the Technical University of Kaiserslautern and the University of Hamburg. His research focuses on advanced database technologies, including NoSQL systems, scalable cloud data management, big data analytics, and information integration. Key areas include service-oriented computing, federated database systems, and transaction management. He has authored over 149 publications, with recent work emphasizing polyglot data stores, spatio-temporal data processing, and web performance optimization. Education: M.Sc. (1991), Ph.D. (1997) in Computer Science from the University of Kaiserslautern Professional Activities: Dean of MIN Faculty (since 2022), former head of DBIS group Labs/Teams: Leads the Databases and Information Systems research group His advising record includes over 274 student theses, spanning PhD and master's projects in database design, data integration, and web performance engineering. Collaborative projects include Beaconnect (continuous web A/B testing) and Compaz (shared dictionary compression).

Tim Kacprowskiمشاهده پروفایل

استاد

• Medical Informatics
• Data Science
• Network Medicine
• +۹ مورد دیگر

Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.

Rhongho Jangمشاهده پروفایل

استادیار

• Cybersecurity
• Artificial Intelligence Security
• Network Systems
• +۳ مورد دیگر

Rhongho Jang is an Assistant Professor in the Department of Computer Science at Wayne State University's College of Engineering. He holds a PhD from the University of Central Florida and directs the Networked Intelligence and Distributed Security (NIDS) Lab. His research advances security and privacy in distributed systems, networks, and AI. Research spans cybersecurity, AI security, network algorithms, and distributed systems, with applications in intrusion detection, malware analysis, and in-network computing. Recent publications focus on data plane security, adversarial ML, and IoT security. Awards include NSF grants (2022-2023), Best Paper Award at DSN 2021, and KISA's Outstanding Young Researcher (2018). Current PhD advisees include Seyed Mohammad Mehdi Mirnajafizadeh, Seungsam Yang, Fatima Kamal Khaja, and Sian Kim. Manages NIDS Lab with projects on cyber-physical security and in-network computing.

Sabirat Rubyaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Health Informatics
• +۳ مورد دیگر

Dr. Sabirat Rubya is an Assistant Professor in the Department of Computer Science at Marquette University, co-directing the Social and Ethical Computing Lab. Her research focuses on designing mobile health technologies for vulnerable populations at risk of mental health disorders, emphasizing human-centered computing and health informatics. Education: BSc in Computer Science from Bangladesh University of Engineering and Technology (BUET), PhD in Computer Science from the University of Minnesota. Research Interests: Human-Computer Interaction, Social Computing, Health Informatics, and Human-Aided Machine Learning. She explores technologies supporting marginalized communities through participatory design and mixed-method approaches. Publications highlight user-centric evaluations of mental health apps, predictive analytics for veteran crises, and community-based data validation in recovery contexts. Recent work includes a grant from Advancing a Healthier Wisconsin Endowment to commercialize a veteran support app (as co-Investigator). Service: Served as CHI 2021 Late-Breaking Work Program Committee member, PC member for CHI 2022, and Web Co-Chair for CSCW 2023. Holds leadership roles in HCI conferences and lab co-direction. Labs/Teams: Co-directs the Social & Ethical Computing Lab at Marquette, focusing on ethical tech design and health equity.

Akila de Silvaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Akila de Silva is an Assistant Professor of Computer Science at San Francisco State University (SFSU). He holds a PhD from UC Santa Cruz (advised by Prof. Alex Pang and James Davis) and an MS from Columbia University. His research focuses on artificial intelligence, machine learning, computer vision, and applied AI for environmental monitoring. Key projects include RipViz/RipScout systems for real-time rip current detection using ML and UAVs, and citizen science platforms like SmartCS for creating no-code mobile apps. Education: PhD in Computer Science & Engineering (UCSC), MS in Computer Science (Columbia). Grants include a NOAA-funded coastal observation system (2025-26) and an ethical generative AI in CS education initiative (2025-26). Notable award: Michael Richman Award (2024-25). Research emphasizes interdisciplinary applications: coastal safety via AI-driven monitoring, STEM education through citizen science tools, and improving data quality in facial recognition systems. Active reviewer for IEEE Visualization, CVPR, and other top conferences. Lab opportunities available for motivated students.

Gity Karamiمشاهده پروفایل

استادیار

• Software Engineering
• Software Reliability
• Data Mining
• +۲ مورد دیگر

Gity Karami is Assistant Professor of Instruction in the Computer Science Department at UT Dallas' Erik Jonsson School of Engineering and Computer Science. Her research focuses on software engineering methodologies, particularly software reliability, data mining applications, and web system development. Karami investigates web usage modeling, software testing frameworks, and HCI-task integration to enhance application reliability. Her work bridges theoretical computer science with practical software development challenges. Courses taught include Web Programming Languages, Data Structures, Machine Learning, and Programming Paradigms. She coordinates undergraduate research initiatives and advises student organizations including Women in Cybersecurity and Women Who Compute.