جست‌وجوی استاد و پژوهشگر

Zoltán Szegedy-Maszákمشاهده پروفایل

استاد

• Digital Art
• Media Art
• Intermedia
• +۴ مورد دیگر

Zoltán Szegedy-Maszák serves as Professor and Head of the Doctoral School at the Hungarian University of Fine Arts, where he previously held roles including General Vice-Rector (2009–present) and Head of the Department of Fine Arts Theory (2009–present). His academic trajectory began with Assistant Professorship in the Department of Intermedia in 1997, advancing to Associate Professor in 2003 before achieving full Professor rank through his doctoral school leadership. Education highlights: DLA (Doctor of Liberal Arts, Fine Arts), Hungarian University of Fine Arts (2003) 'dr. habil' qualification (2007) Diploma in Intermedia Department (1994) Diploma in Painting Department (1992) Postgraduate studies, Hungarian University of Fine Arts (1992–1994) Szegedy-Maszák's research interrogates the philosophical and technical boundaries of digital creation, with sustained focus on experimental photography (notably camera obscura and photogram techniques), networked art systems, and interactive installations that challenge perception. His theoretical work explores media archaeology, digital preservation, and the interplay between artistic practice and technological innovation, often examining how obsolete media forms inform contemporary digital culture. This manifests in projects like 'Cryptogram' and 'Aura' that investigate data encryption, virtual realities, and illusion mechanisms. His artistic output reveals consistent engagement with digital imaging, web-based interactivity, and real-time data systems, evolving from early computer animations (1991–1999) toward complex networked installations. Key themes include the archaeology of computing, interface design as artistic medium, and the philosophical implications of digital reproduction—particularly evident in his 2000–2010 publications analyzing virtual environments and interactive frameworks. Notable recognition includes: Munkácsy Mihály Award (2010) Camera Obscura award at Hungarian Museum of Photography (2008) Ferenc Deák Post-Doctoral Scholarship (2003–2004) Derkovits Scholarship (1999–2002) European Media Artists Residency at Bauhaus Dessau (1995) As doctoral thesis supervisor since 2003, he has mentored emerging media artists while developing innovative curricula like 'Introduction to the (An)Archaeology of Computers'—an ongoing educational resource. His collaborative work with C3 Cultural and Communication Center (1996–2002) and projects like 'Exploration Network' demonstrate commitment to interdisciplinary knowledge exchange. Current initiatives focus on preserving digital art heritage through frameworks like the '404 Project,' addressing media obsolescence while exploring new frontiers in networked artistic practice.

Elin Uppströmمشاهده پروفایل

مدرس ارشد

• Data Science
• Machine Learning
• Internet of Things
• +۵ مورد دیگر

Elin Uppström is a Senior Lecturer at the Department of Informatics and Media, Uppsala University, Campus Gotland since January 2019. Her expertise spans data science, machine learning, and digital innovation with a focus on public sector applications. With a doctoral degree from Stockholm University and a civil engineering background from the Royal Institute of Technology, she brings both academic rigor and practical experience to her teaching and research. Education: Ph.D. in Data and Systems Science, Stockholm University (2017) Civil Engineering Degree in Computer Science, Royal Institute of Technology (2006) Elin Uppström's research focuses on digitization in the public sector, value creation, and design. She investigates how IoT, AI, and digital technologies can transform government services and create public value. Her work explores boundary object theory, value co-creation and co-destruction in e-government, and design science artifacts. She has extensive experience with public sector innovation projects across Sweden, examining how digital solutions can address complex societal challenges while ensuring effective collaboration between citizens and government entities. Uppström's publication record demonstrates a consistent focus on digital innovation in the public sector. Her recent work examines cultural heritage digitization and incubators for digital innovation, while her earlier research explored ERP systems, cloud computing, and mobile government solutions. Across her publications, she applies theoretical frameworks like boundary object theory to understand value creation in digital government services. Her research trajectory shows an evolution from technical ERP systems toward broader digital transformation and public value creation in the public sector. No specific scientific awards are mentioned in the available information. Uppström has advised numerous students in data science, machine learning, and innovation courses at both undergraduate and graduate levels. Her research has been supported by multiple competitive grants including projects funded by the Swedish Agency for Economic and Regional Growth, EU Horizon2020, Vinnova, and NordForsk. She has led and participated in over 10 research projects focusing on digitalization, IoT, and AI in the public sector, demonstrating her ability to secure funding for impactful research. Uppström collaborates extensively with public sector organizations across Sweden, including municipal governments, county administrative boards, and national agencies. She works closely with Governo on expert sessions for public leaders and has contributed to projects with the Swedish Tax Agency, Statistics Sweden, and the Swedish National Heritage Board. Her research often involves interdisciplinary teams combining technical expertise with public administration knowledge.

Florian Schatzمشاهده پروفایل

استاد

• Web Development
• Cloud Computing
• E-Commerce
• +۳ مورد دیگر

Prof. Dr. Florian Schatz serves as a Professor in the Department of Media at Kiel University of Applied Sciences, where he teaches core courses including "Fundamentals of IT", "Website applications and design", "Dynamic web applications", and "Real-time applications on the internet". His academic role integrates technical instruction with practical industry applications through startup promotion initiatives. His research expertise spans: Modern web application frameworks and cloud infrastructure deployment Digital transaction systems and e-commerce business modeling Agile methodologies in software project management Startup coaching and entrepreneurial ecosystem development No scientific awards were documented in the source material. Prof. Schatz maintains an open-door office policy for student consultations and actively bridges academic knowledge with real-world business innovation through his founder activities and coaching engagements.

Claire S. Leeمشاهده پروفایل

دانشیار

• Cybercrime
• Cybersecurity
• Cyberterrorism
• +۷ مورد دیگر

Claire S. Lee, Ph.D. is an Associate Professor in the School of Criminology and Justice Studies at the University of Massachusetts Lowell, where she serves as Co-Director of the Center for Asian American Studies. She holds multiple affiliations including membership in the Center for Internet Security and Forensics Education and Research (iSAFER), the Center for Terrorism and Security Studies (CTSS), and as a Fellow of the Center for Public Opinion. Dr. Lee also serves on the Executive Board of the Division of Cybercrime within the American Society of Criminology and holds editorial positions at PLOS One and several other academic journals. Dr. Lee's research spans two primary domains: cyber and digital studies (including cybercrime, cybersecurity, cyberterrorism, and digital sociology), and global media and immigration studies. Her work examines mechanisms and networks of deviant behaviors facilitated by cyber-resources using quantitative, qualitative, computational, and mixed methodologies. She has received significant funding from federal agencies including the Department of State, National Security Agency, National Science Foundation, and Korea Foundation for research on cyberattacks, human trafficking, and cybersecurity education. Her publication record reveals a strong focus on cybercrime victimization, hate crimes, and the intersection of technology and social behavior. Recent work analyzes employment scams using machine learning (2025), hate crimes against racial minorities (2024), and cyberterrorism networks. Her research demonstrates increasing sophistication in methodology, incorporating natural language processing, latent class analysis, and social media analytics to understand complex cyber phenomena. Publications - Most by College (March 2022; November 2022; November 2024) U.S.-Korea NextGen Scholars Program, CSIS Korea Chair and USC Korean Studies Institute (2022-2023) Outstanding Teaching Award (2022) Young Faculty Award, Korean Society of Criminologists in America (KOSCA) (2021) Dr. Lee actively supervises research and has secured multiple federal grants including Department of State funding (2023-2025) and Korea Foundation support (2023-2024). She has co-led NSA/NSF-funded GenCyber Summer Camps at UMass Lowell (2020-2022) and serves as Vice Chair of the Division of Cybercrime at the American Society of Criminology. Her interdisciplinary approach bridges criminology, sociology, and computer science to address emerging cyber threats while emphasizing the importance of gender diversity in cybersecurity fields. Dr. Lee leads the Cybercrime Investigation & Cybersecurity Lab (CIC) initiatives and collaborates extensively across disciplines to study the social implications of technology. Her work connects online and offline behaviors, with particular attention to vulnerable populations and the ethical dimensions of digital surveillance and datafication.

Hamed Haddadiمشاهده پروفایل

استاد

• User-Centered Systems
• IoT
• Applied Machine Learning
• +۴ مورد دیگر

Professor Hamed Haddadi holds the position of Professor of Human-Centred Systems at the Department of Computing, Faculty of Engineering, Imperial College London. He is also an Imperial College Research Fellow and serves as Security Science Fellow at the Institute for Security Science and Technology. In industry, he acts as Chief Scientist at Brave. His research focuses on User-Centred Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. He leads the Imperial-X initiative and holds an EPSRC Open Plus Fellowship (2022-2027). His work bridges academia and industry, addressing challenges in privacy-preserving technologies, edge computing, and secure AI systems. Affiliations include the Artificial Intelligence Network, Centre for Cryptocurrency Research and Engineering, Data Science Institute, Energy Futures Lab, and Institute for Security Science and Technology. He actively supervises PhD students through programs like the President’s PhD Scholarships and Islamic Development Bank scholarships. Recent research trends emphasize privacy-preserving AI, secure edge computing, federated learning, and IoT security. His publications span topics like differential privacy, adversarial ML defense, and energy-efficient neural networks. Notable awards include the EPSRC fellowship supporting his work on Human-Centred Systems. Grants include Imperial College Research Fellowships and collaborations with industry partners. He directs the NetSys group and contributes to interdisciplinary initiatives like the Energy Futures Lab. His work often involves collaborative projects with industrial partners such as Brave Software to advance real-world applications of secure technologies.

• Computer Science
• Networking Systems
• Privacy
• +۵ مورد دیگر

Costas Iordanou is an Assistant Professor at the Department of Computer Science and Engineering, School of Sciences, Cyprus University of Technology, focusing on networking systems, privacy, security, and disinformation detection. His work bridges theoretical and applied aspects of computer science, with a strong emphasis on user privacy and cybersecurity. PhD in Electrical Engineering and Computer Science from Technical University of Berlin (2019) MSc in School of Engineering and Basic Sciences at University Carlos III of Madrid (2015) MSc in Computer Engineering and Informatics from Cyprus University of Technology (2014) BSc in Computer Engineering and Informatics from Cyprus University of Technology (2013) His research interests include Privacy and Security in digital environments, with specific focus on Web Tracking , Behavioral Analytics , and Disinformation Detection . He has contributed to Machine Learning by addressing poisoning attacks in federated learning frameworks. His publications trend toward Cybersecurity , Privacy , and Machine Learning , analyzing threats in Web Tracking , E-commerce , and Disinformation mitigation.

• Software Engineering
• Cybersecurity
• Internet of Things (IoT)
• +۴ مورد دیگر

Jacques Pasquier is a Professor in the Department of Informatics at the University of Fribourg, Switzerland, and Head of the Software Engineering Group. His academic affiliation falls under the Interfaculty Informatics unit, emphasizing interdisciplinary research and education in computer science. His research and teaching focus on software engineering, cybersecurity, IoT systems, and agile methodologies. Research interests include IoT security, blockchain applications in decentralized networks, and privacy-preserving technologies. He has contributed to frameworks for secure IoT middleware, lightweight communication protocols, and trusted execution environments. His work bridges theoretical advancements with practical implementations, such as the ImputeGAP library for time series imputation and the Universal Explorer for Web of Things interoperability. Publications span topics like secure IoT infrastructure, blockchain-enabled LPWAN systems, and agile development metrics. His articles often address challenges in privacy, scalability, and resilience within distributed systems. While no specific awards are mentioned, his prolific publication record highlights sustained contributions to computer science and engineering. Led the Software Engineering Group, focusing on advancing methodologies for modern software systems. Collaborates on projects involving industry and academic partners to address real-world challenges in IoT and cybersecurity.

Nigel Shadboltمشاهده پروفایل

استاد

• Web Science
• Social Machines
• Semantic Web
• +۲ مورد دیگر

Professor Nigel Shadbolt is affiliated with the University of Southampton's School of Electronics and Computer Science. He leads the EPSRC-funded SOCIAM research project focused on 'The Theory and Practice of Social Machines', collaborating with Dame Wendy Hall and Professor m.c. Schraefel. His research explores the intersection of web technologies and human systems, with interests spanning Web Science, Social Machines, Semantic Web, Knowledge Representation, and Human-Computer Interaction. His work examines how digital platforms enable collective intelligence and human-machine collaboration. Shadbolt's publications focus on web architecture, social computing frameworks, and semantic technologies. His research contributes to understanding how digital ecosystems evolve and facilitate large-scale human cooperation through technical infrastructures.

Amit Chopraمشاهده پروفایل

مدرس ارشد

• Sociotechnical Systems
• Multiagent Systems
• Software Engineering
• +۶ مورد دیگر

Dr. Amit Chopra is a Senior Lecturer at the School of Computing and Communications , Lancaster University , UK. His work bridges multiagent systems and software engineering , focusing on interaction-oriented software engineering (IOSE) to govern sociotechnical systems. Associate Editor, ACM Transactions on Internet Technology (TOIT) Sponsorship Chair, AAMAS 2013 Host of the Dagstuhl Seminar on Normative Multiagent Systems His research explores software abstractions for norms, accountability, and protocols , with applications in ethical AI, blockchain technology, and security . Funded by European grants (e.g., EPSRC, Marie Curie), his work integrates autonomous actors (organizations, people) in decentralized systems. Recent publications emphasize trends in communication protocols , BDI agent programming , and decentralized applications . Themes include compliance, adaptability, and sociotechnical governance across IoT, microservices, and blockchain. Scientific Awards : Marie Curie Intra-European Fellowship Marie Curie Fellowship, Trentino Cofund Grants : PI, Five-year EPSRC grant (£677k, ongoing since 2017) PI, Marie Curie grants (2012–2014, 2010–2012) Research Groups : Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA), Software Engineering (SCC), Security Lancaster (Distributed Systems).

Muhammad Aslam Jarwarمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Cyber Physical Systems
• Digital Twin
• +۹ مورد دیگر

Dr. Muhammad Aslam Jarwar is a Senior Lecturer in Smart Computing at the Department of Computing, Sheffield Hallam University. He holds senior roles in academia and industry, including Editorial Board membership at Intelligent Automation & Soft Computing and Managing Guest Editor at Sustainable Energy Technologies and Assessments . His research focuses on IoT security, cybersecurity modeling, AI-driven IoT systems, and digital twin applications. He leads the Secure Ontologies for IoT Systems (SOfIoTS) project, aimed at enhancing IIoT security through ontology integration and edge computing. Education includes a Ph.D. from Hankuk University of Foreign Studies (South Korea), MS from Quaid-i-Azam University (Pakistan), and BCS (Hons) from University of Sindh. He has extensive industry experience, including a Postdoctoral Researcher role at University of Manchester and UCL. Research interests span IoT-enabled healthcare systems, trustworthy IoT, industrial IoT, and federated learning. Key projects include RiverSense (river pollution monitoring) and collaboration with AquaSensor. His work emphasizes practical applications of AI and IoT in healthcare, energy, and smart cities. He has supervised multiple Ph.D. and Master’s students in IoT and cybersecurity. Awards include travel grants and research networking awards. His recent publications address IoT middleware, blockchain integration, and AI-empowered healthcare solutions.

Hesam Jadidbonabمشاهده پروفایل

استادیار

• Cyber Security
• Cyber-Physical Systems
• Connected and Autonomous Vehicles (CAVs)
• +۱۱ مورد دیگر

Dr. Hesam Jadidbonab is an Assistant Professor (Research) at Coventry University, affiliated with the Centre for Future Transport and Cities. His research is centered on cybersecurity in cyber-physical systems, particularly in connected and autonomous vehicles (CAVs), with a focus on real-time security, intrusion detection, and secure over-the-air (OTA) updates. He leads and contributes to multiple Innovate UK-funded projects aimed at enhancing the safety and security of future transportation systems. Doctorate in Mechanical Engineering, City, University of London MEng in Automotive Engineering, Aachen University of Applied Science His research interests span Cyber Security , Automotive Systems , Machine Learning for Security , Testbed Development , and Experimental Fluid Mechanics . He has developed expertise in advanced imaging techniques such as Particle Image Velocimetry (PIV), X-ray imaging, and computed-tomography reconstruction during his doctoral and post-doctoral work. The recent publications of Dr. Jadidbonab reflect a strong trend in applying ontology modeling , language models , and fuzzing techniques to automotive and IoT security. His work integrates context-awareness , real-time threat detection , and adaptive security policies to address evolving cyber threats in intelligent transport systems. The interdisciplinary nature of his research bridges mechanical engineering, computer science, and systems engineering. Scientific Awards: No specific awards listed in the provided text. Dr. Jadidbonab has been actively involved in research advising and project leadership. He serves as a Co-Investigator and Researcher in multiple high-impact projects including: Secure-CAV : Focused on testbed development and machine learning for intrusion detection in autonomous vehicles. Trade-off Management between Safety and Cybersecurity : Investigating the balance between functional safety and cyber resilience. SCALE : Solihull & Coventry Automated Links Evolution, contributing to automated mobility integration. A Roadmap to Cybersecurity for CI-SRN Integration : Developing strategic cybersecurity frameworks for connected infrastructure. He has collaborated with academic and industrial partners such as Lubrizol Ltd., University of Bergamo, FAU Erlangen-Nürnberg, and Argonne National Laboratory. His lab work includes the design and deployment of multi-bus automotive testbeds to validate security mechanisms in realistic vehicle environments.

• Cybersecurity
• Quantum Computing
• Energy Efficiency in Computing
• +۴ مورد دیگر

Haider Ali is a Lecturer in Computer Science at the College of Science and Engineering. His research focuses on cybersecurity, quantum computing, energy-efficient computing, and optimization algorithms, particularly in IoT and real-time systems. Research interests include quantum encryption protocols, zero-day exploit detection in web platforms like WordPress, energy-aware scheduling in embedded systems, and metaheuristic algorithms for wireless sensor networks. His work bridges theoretical advancements with practical applications in edge computing, cyber-physical systems, and healthcare IoT. Notable contributions include developing novel scheduling techniques for MPSoCs, energy-optimized data aggregation in IoT, and frameworks for detecting cyber threats. Articles span reputable journals like IEEE Access and Future Internet, highlighting interdisciplinary approaches to modern computing challenges. No awards or grants are explicitly documented. Advising activity details are not provided in the text.

Beat Signerمشاهده پروفایل

استاد

• Cross-Media Information Spaces and Architectures (CISA)
• Interactive Paper
• Dynamic Data Physicalisation
• +۷ مورد دیگر

Beat Signer is Professor of Computer Science at Vrije Universiteit Brussel (VUB) and Director of the Web & Information System Engineering (WISE) laboratory. His research focuses on cross-media information spaces and architectures (CISA) spanning interactive paper, dynamic data physicalisation, and tangible holograms. His educational background includes a Computer Science degree from ETH Zurich, where he completed his PhD thesis on fundamental concepts for interactive paper and cross-media information spaces in 2005. Key research areas include: Cross-media document formats and resource-selector-link (RSL) hypermedia metamodel Context-sensitive adaptation and cross-media transclusion Multimodal interfaces (Mudra, iGesture) and tangible computing Internet of Things interoperability and semantic middleware Recent publications (2023-2025) reveal strong trends in dynamic data physicalisation hardware, FAIR positioning systems (OpenHPS), end-user IoT development (eSPACE), and next-generation human-information interaction paradigms. His work increasingly integrates Solid protocols for decentralized data and explores thermal dimensions in tangible holograms. As Principal Investigator, he leads multiple EU-funded projects including OpenHPS, TangHo, and eSPACE. His team has developed influential frameworks like MindXpres for cross-media presentations and CMT for context modeling. He supervises 13 doctoral researchers including Dr. Maxim Van de Wynckel and Dr. Audrey Sanctorum, focusing on cross-media applications in education, IoT, and data visualization. His WISE laboratory develops innovative solutions bridging digital and physical information spaces through projects like ArtVis for collaborative data exploration and TangHo for physically augmented virtual objects.

• Game Studies
• Virtual Worlds
• Rhetoric
• +۳ مورد دیگر

Neil F. Randall is an Associate Professor in the Department of English at the University of Waterloo, Canada, and Executive Director of the Games Institute (GI). He chairs the Council for Responsible Innovation and Technology (CRIT), focusing on ethics in emerging technologies. His academic career spans over three decades, with roles including Director of the Centre for Professional Writing and leadership in interdisciplinary research initiatives like the SSHRC-funded IMMERSe network. His research bridges game studies, rhetoric, and digital media, emphasizing virtual worlds, interactive storytelling, and Tolkien's influence. He has authored technical books and over 500 articles for publications like PC Magazine . Awards include the SSHRC Doctoral Fellowship and A.M. Ross Prize. His teaching spans undergraduate and graduate courses in rhetoric, professional writing, and digital media. Supervised students include Isabel Pedersen and others in game studies and semiotics. Education: PhD, York University (1985), Canadian Literature MA, University of Waterloo (1981), English BA, University of Guelph (1979), English Research & Grants: Led the IMMERSe SSHRC Partnership Grant ($5.8M), collaborations with Scotiabank and Correctional Service Canada. Published on game-driven digital experiences and ethical technology. Authored books on HTML, the Internet, and game design. Awards: SSHRC Doctoral Fellowship (1983–1985), A.M. Ross Prize (1978), Alma Mater Scholarship (1978). Labs/Teams: Co-founded the Games Institute and contributed to interdisciplinary research at the GI and CRIT, fostering equity, diversity, and inclusivity in tech.

Adamu Muhammad Buhariمشاهده پروفایل

مدرس

• Computer Vision
• Artificial Intelligence (AI)
• Real-Time Machine Learning Algorithms
• +۷ مورد دیگر

Adamu Muhammad Buhari is a Lecturer at the School of Information Technology, Monash University. His expertise spans Computer Vision, Artificial Intelligence, Real-Time Machine Learning, and IoT integration in smart systems. He holds a PhD in Engineering (Computer Vision) from Multimedia University, alongside advanced degrees in Engineering and Telecommunication. Research interests include micro-expression recognition using graph-based features, real-time emotion analysis algorithms, and scalable video coding with watermarking. His work bridges theoretical advancements with practical applications in embedded systems and energy-efficient IoT networks. Recent collaborations focus on smart building HVAC automation and solar-powered sensor networks for smart homes. He has been awarded the School Research Grant 2022 for contributions to clinical pharmacy education research. His publications span journals like Journal of Imaging and Multimedia Tools and Applications , with a focus on real-time systems and machine learning applications. Research output highlights include: Invisible emotion magnification algorithms for micro-expression detection IoT-based HVAC systems using machine learning Scalable video coding with low-complexity watermarking His work emphasizes real-world impact through embedded systems and energy harvesting solutions.