جستجوی استاد راهنمای دانشگاهی

Aryelly Rodriguez is a Research Fellow at the Usher Institute within the College of Medicine and Veterinary Medicine at the University of Edinburgh, based at the Edinburgh Clinical Trials Unit. Her expertise centers on medical informatics, clinical trial data management, and privacy-preserving methodologies for health data sharing. Her academic qualifications include: PhD in Medical Informatics, University of Edinburgh (2017-2024) MSc in Applied Statistics, Sheffield Hallam University (2006) MSc in Business Administration and Management, University of Aberdeen (2000) BSc in Production Engineering, Universidad Simón Bolívar (1998) Dr. Rodriguez's research focuses on critical challenges in clinical data privacy, particularly re-identification risks in anonymized trial datasets and ethical data sharing frameworks. She investigates statistical disclosure control methods while advancing digital health endpoints through wearable technologies and patient-centered outcome measures. Her work bridges biostatistics, regulatory science, and real-world clinical applications to enhance trial validity and participant safety. Analysis of her recent publications reveals converging themes: robust anonymization protocols for clinical datasets, researcher perspectives on data de-identification practices, and innovative trial designs like the Macrophage Therapy for Acute Liver Injury (MAIL) study. Her output demonstrates growing emphasis on practical implementation of privacy frameworks alongside emerging digital endpoint methodologies. No major scientific awards are documented in available sources. Dr. Rodriguez accepts PhD students and serves as a Statistical Expert on the Medical Research Council's Developmental Pathway Funding Scheme Panel. Her grant involvement spans clinical trials including the MAIL study for paracetamol-induced liver injury, reflecting active collaboration with hepatology and regenerative medicine teams. She operates within the Edinburgh Clinical Trials Unit at the Usher Building, collaborating closely with the Centre for Population Health Sciences on cluster randomized trials, trauma research, and stillbirth awareness initiatives. Her network extends to multi-stakeholder digital health consortia focused on wearable integration and endpoint validation.

• Clinical Trials
• Medical Informatics
• Data Anonymization
• +۳ مورد دیگر

Muhammad Adnan Tariq is a Professor at the University of Stuttgart in the Faculty of Computer Science, Department of Distributed Systems and Networking. His research spans distributed systems, networking, and security with a particular focus on publish-subscribe systems, software-defined networking, and complex event processing. PhD in Non-functional requirements in publish, subscribe systems (2013) Over 40 publications between 2009-2022 Extensive collaboration with Kurt Rothermel (36 joint publications) Dr. Tariq's research interests focus on the intersection of distributed computing and network systems. His work addresses critical challenges in publish-subscribe systems, software-defined networking, complex event processing, and workflow management. His research has evolved to incorporate emerging technologies like blockchain for IoT security and edge-based machine learning. His publications demonstrate a consistent focus on performance optimization, security, and scalability in distributed systems, with recent work emphasizing applications in IoT environments and edge computing. His publication record shows a clear progression from foundational work on publish-subscribe systems to more complex applications involving workflow engines, graph processing, and security mechanisms. The research demonstrates strong theoretical grounding combined with practical implementation considerations, particularly evident in his work on software-defined networking applications and IoT security frameworks. Dr. Tariq has maintained a productive research career with consistent publication output across top venues including IEEE Transactions, DEBS, ICDCS, and Middleware conferences. His work shows strong collaboration patterns, particularly with researchers at what appears to be his home institution.

• Distributed Systems
• Publish-Subscribe Systems
• Software-Defined Networking
• +۷ مورد دیگر

Christoph Lange is the Head of the Data Science and Artificial Intelligence department at the Fraunhofer Institute for Applied Information Technology (FIT) and a senior researcher at the Chair of Information Systems 5 (DBIS) at RWTH Aachen University, Germany. He has been affiliated with RWTH Aachen since 2019 and with Fraunhofer since 2014. He received his Ph.D. from Jacobs University Bremen in 2011 for work on enabling collaboration on semiformal mathematical knowledge through semantic web integration. His research focuses on knowledge engineering, data infrastructures, and semantic technologies, particularly aligned with Linked Data and FAIR principles (Findable, Accessible, Interoperable, Reusable). Applications span enterprise data integration, research infrastructures, and cross-organizational data spaces, with contractual R&D conducted for leading German and international automotive and industrial enterprises. His research interests include Knowledge Engineering , Semantic Web , Knowledge Graphs , Ontology Engineering , FAIR Data , and Intelligent Computer Mathematics . He has co-supervised 10 PhD students and taught courses such as the Knowledge Graph Lab at RWTH Aachen. He has organized numerous conferences, workshops, and training events in semantic web and intelligent mathematics domains and contributed to W3C and OMG international standards. Recent publications (2023–2025) demonstrate a strong trend towards integrating Large Language Models with semantic technologies for FAIR data spaces, ontology development, and explainable AI. His work also advances tools for knowledge graph creation (e.g., KGraphX), RDF validation, federated data catalogues, and semantic interoperability in manufacturing and scientific domains. h-index 30 (Google Scholar) Christoph Lange has served as an expert reviewer for international funding bodies and has led impactful collaborations across academia and industry. His work bridges theoretical advances in knowledge representation with real-world applications in data-intensive sectors. He is actively involved in research projects such as NFDI4DS and FAIR Data Spaces, contributing to next-generation data ecosystems. He leads the development of semantic tools and infrastructures, including contributions to Wikidata and CEUR-WS semantification. His lab work includes the Knowledge Graph Lab series, focusing on practical implementation and teaching of semantic technologies. Future work is expected to further explore the synergy between generative AI and formal knowledge representation to enhance data quality, reuse, and machine understanding.

• Knowledge Engineering
• Semantic Web
• Data Infrastructures
• +۷ مورد دیگر

Georgios K. Polyzos is a Professor at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), where he has been a faculty member since 1999. He directs the Mobile Multimedia Laboratory (MMlab) and teaches undergraduate and graduate courses in Wireless Networks, Mobile Communications, and Multimedia Technology. Previously, he was a Professor at the University of California, San Diego (UCSD), where he co-directed the Computer Systems Laboratory and was a Senior Fellow at the San Diego Supercomputer Center. Affiliation: Athens University of Economics and Business (AUEB) School: School of Information Sciences and Technology Department: Department of Informatics Employment: Part-time (2025–2026) Education: Diploma in Electrical Engineering, National Technical University of Athens (NTUA) M.A.Sc. in Electrical Engineering, University of Toronto Ph.D. in Computer Science, University of Toronto His research focuses on Internet architecture , Information-Centric Networking (ICN) , IoT , security and privacy , wireless networks , and performance evaluation . He has pioneered work in publish-subscribe internetworking and ICN architectures. His recent publications emphasize decentralized identity, verifiable credentials, blockchain for IoT, and privacy-preserving systems. The trend in his recent articles shows a strong shift toward decentralized security , privacy-enhancing technologies , and federated IoT systems , combining cryptographic protocols with distributed ledger technologies. His work bridges theoretical networking with practical implementations in smart grids and mobile systems. Scientific Awards: Future Internet Award (2013) – FP7 PURSUIT project Best Paper Award (2022) – IEEE Workshop on the Internet of Safe Things Advising and Grants: He has supervised over 16 Ph.D. students across UCSD and AUEB. He has led numerous research projects funded by the European Commission (FP7, H2020), US NSF, ESA, Microsoft Research, Hitachi, and Greek national agencies. Under his leadership, MMlab contributed to major EU projects like PSIRP, PURSUIT, POINT, and SOFIE, focusing on future Internet architectures and secure IoT federation. Labs and Teams: He leads the Mobile Multimedia Laboratory (MMlab) at AUEB, a leading research group in networking and distributed systems. The lab has been central to EU-funded initiatives in Information-Centric Networking and participates in H2020 SOFIE, advancing open interoperability for IoT platforms.

• Information-Centric Networking
• Internet Architecture and Protocols
• Wireless Networks
• +۷ مورد دیگر

Yuan Tian is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on security and privacy, with a particular emphasis on cyber-physical systems, machine learning applications in vulnerability detection, and human-computer interaction challenges in privacy preservation. He has collaborated with industry leaders such as Google, Facebook, Microsoft, Samsung, and others to address real-world security and privacy issues in mobile systems and IoT devices. His work spans theoretical frameworks for automated vulnerability repair to practical tools like AuthSaber for OAuth security verification. Key research areas include: Development of LLM-powered systems for vulnerability detection (e.g., VulBinLLM) Post-fuzzing analysis of firmware (FirmRCA) Privacy perception studies in smart environments (e.g., WiFi services and commercial buildings) Hardware/software co-design security for IoT His recent work bridges machine learning and cybersecurity, addressing threats in smart contracts, federated learning, and adversarial attacks. Notable contributions include frameworks for privacy-preserving inference in edge networks and sonar-based authentication systems for smart speakers. Awards and recognition: No specific awards listed, though his work has been widely adopted by industry partners. His research has been published in top-tier venues, including S&P, CCS, and IEEE S&P, reflecting its technical impact.

• Security and Privacy
• Cyber-Physical Systems
• Machine Learning
• +۳ مورد دیگر

Dr. Tarjana Yagnik is a Lecturer in Computer Science and Deputy Programme Leader for BSc Software Engineering at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. She is affiliated with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI), contributing to cutting-edge research in data stream processing and machine learning. Education: PhD in Computer Science, De Montfort University, UK MSc Computing, De Montfort University, UK Master in Computer Applications (MCA), IGNOU, India Bachelor of Science (BSc), Gujarat University, India Post Graduate Certificate in Academic Practice (PGCAP, in progress), De Montfort University, UK Her research centers on distributed data stream management systems, focusing on QoS-aware self-adaptive frameworks, real-time processing, big data analytics, and machine learning integration. She explores privacy-preserving techniques under GDPR, especially k-anonymization, and trust architectures in cloud environments. Her work bridges theoretical models with practical system design for dynamic resource allocation. The recent publications highlight a consistent focus on Quality of Service in distributed systems, with applications in big data and cloud computing. Key themes include predictive modeling for QoS violations, GDPR-compliant anonymization, and trust evaluation in cloud services. These works reflect interdisciplinary expertise combining distributed systems, machine learning, and data privacy. Scientific Awards: Vice Chancellor Distinguished Teaching Award (2018, 2019) Best Student Award in MSc Computing Dr. Yagnik is an active educator, teaching courses in databases, data structures, algorithms, programming (Java, Python, C/C++, Scala), web development, operating systems, and networks. She supervises postgraduate research students, including Harry Boadu, and welcomes new research collaborations. She has secured internal projects, such as developing research resource websites for the Arts and Humanities school. She serves on conference committees, including as Technical Programme Committee Member and Publicity Chair for ICCBDC. She is affiliated with key research groups: the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) , where she contributes to collaborative research in cybersecurity, AI, and big data technologies.

• Distributed Data Stream Management Systems
• Big Data
• Machine Learning
• +۷ مورد دیگر

Eerke Boiten is Professor of Cyber Security and Head of the School of Computer Science and Informatics at De Montfort University (DMU), where he also leads the Cyber Technology Institute (CTI). He previously served as Director of the Research Centre in Cyber Security at the University of Kent from 2012 to 2017 and has been a senior academic since 1995. His work bridges formal methods, cybersecurity, and privacy, with significant contributions to refinement in Z and Object-Z, and current research in anonymisation, privacy impact assessment, and AI ethics. Full Name: Eerke Boiten Institution: De Montfort University School: School of Computer Science and Informatics Academic Rank: Professor Email: eerke.boiten@dmu.ac.uk Boiten's research interests are centered on ensuring software correctness and data privacy. He began his career in formal methods, publishing extensively on refinement, program transformation, and state-based systems. His later work shifted toward cybersecurity and privacy, with current projects including privacy-preserving unified communication, synthetic data trade-offs, and cyber intelligence sharing under GDPR. He is particularly interested in the societal implications of computing, especially in health data governance and AI policy. The recent publications highlight a strong trend in privacy and security, particularly in communication systems, data anonymisation, and regulatory compliance. His work increasingly focuses on real-world applications, such as smart toilets and NHS data sharing, reflecting a commitment to socially responsible computing. He also critically engages with emerging technologies like blockchain and large language models, emphasizing technical realism over hype. Boiten has received significant external funding from EPSRC, Alan Turing Institute, EU H2020, and InnovateUK for projects on ransomware, synthetic data, and railway cybersecurity. He has supervised PhD students and served as a principal investigator on multiple grants. His leadership roles include chairing the BCS-FACS Refinement Workshop and serving on EPSRC and NWO grant panels. He is actively involved in public discourse, having authored over 39 articles for The Conversation on topics like NHS data sharing, AI regulation, and online age verification. His media engagement underscores his role as a public intellectual in cybersecurity and data ethics. Boiten leads the Cyber Technology Institute, which held NCSC/EPSRC Academic Centre of Excellence in Cyber Security Research status (2019–2023) and NCSC Academic Centre of Excellence in Cyber Security Education (Gold) status since 2021. He also contributes to professional organizations including BCS and the Higher Education Academy.

• Cyber Security
• Privacy
• Formal Methods
• +۱۵ مورد دیگر

Chern Hong Lim is a Senior Lecturer at the Malaysia School of Information Technology, Monash University Malaysia. He holds a Ph.D. and B.Sc. (Hons) in Computer Science from the University of Malaya. Previously, he was a Senior Lecturer at Tunku Abdul Rahman University College (2016–2018) and a Senior Associate Researcher at Telekom Research & Development Sdn Bhd (2014–2015). He is actively involved in the IEEE Computational Intelligence Society Malaysia Chapter and has served on organizing committees for international conferences such as ICIRA2020 and APSIPA 2017. His research focuses on applying AI and fuzzy logic to solve computer vision challenges, including explainable AI, cognitive video analysis, and medical imaging. He has published in prestigious journals like IEEE Transactions and Springer, and his work contributes to UN Sustainable Development Goals related to education and health. Recent projects include leadership roles in initiatives like WAge (healthy work environments) and CQP (data hiding formalization), demonstrating expertise in interdisciplinary research. Awards include the ITEX 2021 Gold Medal for BAITRADAR, an AI-driven clickbait detection system. Education: Ph.D. (2015), B.Sc. (2010) in Computer Science, University of Malaya Key Projects: WAge (2023–2027), CQP (2023–2026), DELTA (2022–2024) Expertise: Fuzzy computation, knowledge representation, pattern recognition, medical imaging

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Kimiko Ryokai is an Assistant Professor at the UC Berkeley School of Information and the Berkeley Center for New Media. Her research focuses on tangible embodied computing and human-computer interaction (HCI), particularly in educational technology, mental health, and creativity support systems. She has been funded by NSF, Google, and Nokia, and her work has been published in top venues like CHI, SIGGRAPH, and CSCL. Ryokai holds MS and PhD degrees from MIT’s Media Arts & Sciences program and previously worked at IDEO as an interaction designer. Education: M.S. (1999), Ph.D. (2005) in Media Arts & Sciences, MIT Grants: Over $600,000 in funding from NSF, Google, and Nokia for projects like mobile AR learning tools and laughter analysis Research Interests Ryokai investigates how physical and digital systems can enhance learning, creativity, and social interaction. Key projects include: MathMarks : AR tool for math education through environmental exploration GreenHat : Exploring nature via expert-guided AR EnergyBugs : Wearables for children to learn energy harvesting Recent Contributions Recent work emphasizes embodied learning (e.g., Balance Board Math), affective computing (laughter visualization), and tangible interaction design. Her research bridges theory and practice, often involving interdisciplinary teams across education, engineering, and art. Awards & Recognition Best Paper Honorable Mention (ACM CHI 2013, 2011) IDSA Gold Award for Industrial Design (2005) Distinguished Mentor Award (UC Berkeley 2010) Teaching & Mentorship Ryokai teaches courses like Design of Tangible User Interfaces and has advised over 30 graduate students. Notable advisees include Laura Devendorf (PhD 2014) and Daniela Rosner (PhD 2012, now at University of Washington).

• Tangible Embodied Computing
• Human-Computer Interaction (HCI)
• Educational Technology
• +۳ مورد دیگر

Marco Bassini is an Assistant Professor of Fundamental Rights and Artificial Intelligence at Tilburg Law School, affiliated with the TILT research group focused on Regulating Socio-Technical Change. His roles include teaching and coordinating courses on law and technology, alongside external positions as Lecturer at Bocconi University and Fribourg University, Fellow at Baffi Centre on Economics, and consultant roles in Italy's public sector. Education: PhD in Constitutional Law and European Law (University of Verona, 2016) Law Degree (Bocconi University, 2010) Emile Noel Fellow at NYU (2016) Research Focus: Bassini's work centers on digital rights, AI governance, EU regulatory strategies, and the intersection of technology with fundamental rights. Notable areas include generative AI constitutional challenges, data retention policies, and balancing free speech with digital governance. He actively contributes to shaping EU digital policy frameworks. Recent Articles: His 2025 publications explore AI constitutionalism, EU digital competitiveness, and court rulings on data protection. Earlier work includes analysis of social media liability and disinformation regulation. Awards: 2016 Vittorio Frosini Prize for best doctoral thesis in IT law Grants & Projects: Principal Investigator for RetrAIn (2024-2027): Enforcing constitutional rights in generative AI Researcher in ENCRYPT (2022-2025): Privacy-preserving frameworks Contributor to Regulating Socio-Technical Change (2019-2023) Labs & Teams: Active within TILT, a multidisciplinary research cluster addressing law, technology, and societal challenges. Collaborates internationally on AI governance and digital rights initiatives.

• Artificial Intelligence Ethics
• Constitutional Law
• Digital Rights
• +۳ مورد دیگر

Nauman Aslam is a Professor of Network Systems and Security in the Department of Computer and Information Sciences at Northumbria University, UK. He previously served as Senior Lecturer at Northumbria (since 2011) and Assistant Professor at Dalhousie University, Canada. He holds a PhD in Engineering Mathematics from Dalhousie University (2008). As head of the Cyber Security and Network Systems (CyberNets) research group, his work focuses on wireless body area networks, IoT security, AI-driven network optimization, and QoS in industrial sensor networks. He led the EU-funded gLINK project (€3.03M) promoting sustainable green economies through education and innovation. Research interests include: Cyber-Physical Systems, Vehicular Networks, Reinforcement Learning applications, and Energy Management in smart infrastructures. He has published over 180 peer-reviewed articles and supervised 12 postgraduate students. His work aligns with UN SDGs related to affordable and clean energy, sustainable cities, and industry innovation. Current projects include the EU's COVER (Cooperative UAVs for emergency response) and EVOLVE (EV charging optimization). He chairs the CyberNets lab, collaborating internationally on network security, autonomous systems, and smart mobility solutions.

• Network Security
• Wireless Communication Networks
• Artificial Intelligence
• +۴ مورد دیگر

Kaiwen Zhang is a prolific researcher affiliated with institutions including École de Technologie Supérieure (Montréal, Canada), Technical University of Munich, and McGill University. His work spans blockchain technologies, distributed systems, federated learning, and privacy-preserving protocols, with a focus on applications in electric vehicle infrastructure, smart grids, and online gaming. Research Interests: He specializes in blockchain-based solutions for supply chain traceability, IoT security, and federated learning monetization. His studies often integrate decentralized architectures, cryptographic protocols, and event-driven systems, addressing challenges in scalability, privacy, and resource allocation. Publication Trends: Over 17 years (2008–2025), Zhang’s 39 publications (323 citations) emphasize blockchain’s intersection with cybersecurity, transportation, and distributed computing. Key subtopics include smart contracts, privacy-preserving EV charging, and federated learning frameworks. Collaborations: He frequently collaborates with colleagues like Hans-Arno Jacobsen, Mohammad Sadoghi, and Syed Muhammad Danish, contributing to conferences such as Middleware, DEBS, and ACM/SIGAPP Symposium on Applied Computing.

• Blockchain Technologies
• Distributed Systems
• Federated Learning
• +۳ مورد دیگر

Emily Walshe is an Associate Professor at the B. Davis Schwartz Memorial Library and an Adjunct Professor in the College of Information and Computer Science at Long Island University. She serves as a Reference Librarian and is actively involved in academic discourse on digital culture and information technologies. Research Interests: Her work centers on digital ethnography, informatics, and the societal impact of digital technologies. She critically examines the role of libraries in the digital age, cognitive effects of technology reliance, digital literacy, and the ethics of digitization. Her scholarship often bridges library science with broader philosophical and educational concerns. Publication Trends: Her publications, appearing in journals like portal: Libraries and the Academy and The Christian Science Monitor , reflect a consistent theme: a critical interrogation of how digital tools reshape knowledge, memory, and academic practice. She emphasizes caution against uncritical adoption of technology in education and research. Scientific Awards: Member, Beta Phi Mu International Library and Information Studies Honor Society Phi Eta Sigma, National Honor Society for Freshman Scholarship Advising and Grants: While no formal advisees or grant funding are mentioned in the text, her active participation in honors education conferences suggests engagement with mentored learning and academic development. She is affiliated with the National Collegiate Honors Council and the National Coalition Against Censorship, indicating a commitment to academic freedom and intellectual inquiry. Labs and Teams: No specific labs or research teams are mentioned. However, her work in digital library interoperability and academic self-documentation implies collaboration within library and information systems communities, particularly around initiatives like RePEc.

• Digital Ethnography
• Library and Information Science
• Digital Informatics
• +۷ مورد دیگر

Jonas Auda is an active researcher at University of Duisburg-Essen specializing in virtual reality, cross-reality systems, and human-computer interaction. His work focuses on novel interaction techniques, haptic feedback systems, and bridging physical and virtual environments. He has published consistently since 2014, with a significant increase in output following his 2023 PhD completion. Dr. Auda's research interests center around enhancing user experience in virtual environments through innovative interaction methods. His work spans cross-reality systems that bridge physical and virtual worlds, haptic feedback mechanisms including drone-based interfaces, and novel approaches to 3D interaction and visualization. He has made significant contributions to understanding how users navigate and interact within virtual spaces, particularly through his work on hand displacement techniques and haptic props. His publication record shows a clear trend toward increasingly sophisticated cross-reality systems, with recent work focusing on generative AI applications in virtual environments, human-in-the-loop robot training, and comparative studies of different interaction modalities. The research demonstrates strong methodological rigor with careful comparative evaluations of different techniques across multiple platforms. Dr. Auda has received recognition through publications in top venues including CHI, MobileHCI, and ACM Computing Surveys, indicating his work is well-regarded in the human-computer interaction community. His collaborative pattern shows strong ties with researchers at University of Duisburg-Essen, particularly Stefan Schneegass and Uwe Gruenefeld. His research has practical implications for remote collaboration, education technology, and advanced user interfaces for virtual environments. Current work suggests continued exploration of AI integration with virtual reality systems and refinement of cross-reality interaction paradigms.

• Virtual Reality
• Cross-reality Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Santosh Chandrasekhar serves as an Assistant Teaching Professor in the Department of Electrical Engineering and Computer Science at the University of California, Merced, within the School of Engineering. His academic position focuses on teaching excellence and curriculum development in computer science education. Dr. Chandrasekhar's research interests include: Development of effective teaching strategies for undergraduate computer science courses Development of a security education program for undergraduate students His scholarly work demonstrates significant contributions to computer security education and cryptographic research. His publications span from 2007 to 2017, showing a clear progression from fundamental cryptographic techniques to applied security solutions in modern computing environments. His research exhibits consistent focus on developing efficient, scalable security protocols that balance robust protection with practical implementation considerations. Dr. Chandrasekhar's publication record reveals expertise in trapdoor hash functions, proxy signatures, cloud security frameworks, and authentication protocols. His work addresses security challenges across multiple domains including cloud computing, ubiquitous computing environments, and mobile ad hoc networks, demonstrating both theoretical depth and practical application. As a teaching professor, he is deeply involved in undergraduate instruction and curriculum development, with particular emphasis on integrating security concepts throughout the computer science program at UC Merced.

• Computer Science Education
• Security Education
• Teaching Strategies
• +۳ مورد دیگر