جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Wajahat Ali Khan is an Associate Professor in Artificial Intelligence at the University of Derby's College of Science and Engineering. His research focuses on AI-driven solutions for healthcare informatics, cybersecurity, and data integration. He leads interdisciplinary projects involving knowledge graphs, semantic web technologies, and clinical decision support systems. Research interests include applying machine learning to healthcare challenges such as disease subtyping, health data interoperability, and personalized medicine. He also explores cybersecurity in network systems and SDN environments. Key contributions include platforms like the Ubiquitous Health Profile (UHPr) for health data interoperability and the Intelligent Medical Platform for dialogue-based healthcare services. His publications span topics from anti-DDoS models to sentiment analysis for depression detection. Collaborations with institutions like Sungkyunkwan University (South Korea) highlight global impact. Khan’s work emphasizes bridging semantic gaps in healthcare systems through adaptive mediation frameworks and data-driven knowledge acquisition methods.

• Cybersecurity
• Reliability Engineering
• Intelligent Systems
• +۳ مورد دیگر

Valeriu Ionut DIMIDOV is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Ubiquitous and Intelligent Systems department. His affiliation includes the Luxembourg Belval Campus, located at 29 boulevard JF Kennedy, L-1855 Luxembourg. His research focuses on advanced security technologies, reliable system architectures, and intelligent computing solutions. Research interests are centered around cybersecurity, trustworthy systems design, and the integration of intelligent algorithms into secure infrastructures. His work likely addresses challenges in modern ubiquitous computing environments, emphasizing reliability and security across diverse applications. No specific scientific awards or grants are explicitly mentioned in the provided text. He can be contacted via valeriu.dimidov@uni.lu for academic collaboration inquiries.

Jamie A Wardمشاهده پروفایل

استاد

• Wearable Computing
• Social Neuroscience
• Theatre and Performance Studies
• +۵ مورد دیگر

Professor Jamie A Ward is Head of the School of Computing at Goldsmiths, University of London, and holds a Professorship in Computer Science. His research bridges wearable computing, social neuroscience, and theatre studies, focusing on understanding social interaction through body-worn sensors. He earned a PhD from ETH Zurich (2006) and a joint BEng in Computer Science/Electrical Engineering from the University of Edinburgh (2000), alongside a National Certificate in Professional Acting (2011). His work combines interdisciplinary methods such as: Using motion capture and physiological sensors to study autism and live performance Developing open-source wearable hardware like the Synchronisation Wand Collaborations with UCL Institute of Cognitive Neuroscience, Keio University, and DFKI Current projects include the 5-year ERC-funded Neurolive (live performance neuroscience) and SocSensors (wearable support for autistic children). Grants & Awards: ERC Grants (Neurolive/SocSensors) Marie Curie Fellowship (2006-2010) General Chair: Augmented Humans 2023 Key contributions include: Real-time physiology integration into music performances Sensor systems for measuring audience-actor synchrony Designing wearable tech for autism research He leads the Computing department and maintains visiting roles at UCL and Keio University.

• Extended Reality (XR)
• Human-Computer Interaction (HCI)
• Privacy and Security
• +۳ مورد دیگر

Ass.-Prof. Dr. Pascal Knierim is an Assistant Professor at the Department of Computer Science, University of Innsbruck. He leads the Interactive Graphics and Simulation Group , focusing on Extended Reality (XR), Human-Computer Interaction (HCI), and privacy in digital environments. His research explores the societal impact of emerging technologies, including thermal imaging, drones, and AI integration with XR. Key areas of investigation include user perception in content blocking (e.g., 'Ad-Blocked Reality'), social behavior in VR (e.g., 'Navigating the Virtual Gaze'), and ethical design of mixed reality systems. His work bridges theoretical research with practical applications, such as privacy-aware smart home interfaces ('PriKey') and biometric identification via thermal imaging ('HotFoot'). Knierim’s publications often highlight trends in XR’s ethical implications, such as dark patterns in MR, and the intersection of AI with immersive technologies. His lab emphasizes collaboration, evidenced by contributions to frameworks like 'Lenssembly' for AR-based assembly instructions. His office hours are Monday to Friday, 09:00–13:00, and he is located at ICT 3N08, Technikerstraße 21a, Innsbruck.

• Avionics Communications Networks
• Heterogeneous Wireless Networks
• Software-Defined Networks
• +۴ مورد دیگر

Dr. Muhammad Ali is a Post-Doctoral Research Staff at the Future Ubiquitous Networks Lab, within the School of Computer Science, Artificial Intelligence & Engineering at the University of Bradford, UK . His academic journey includes a BSc in Computer Science (2006, Comsats University Islamabad), MSc (2007), and PhD (2013) in Mobile & Satellite Communications from the University of Bradford. He has held roles as a Research Assistant at the Future Ubiquitous Networks Lab (2011–2015), Lecturer in Electrical Engineering and Computer Science at the University of Bolton (2016), and Lead Software Developer at Direct2Success (2016–2018). His research focuses on avionics communications networks , software-defined networks , artificial intelligence , and embedded systems . He has contributed to over 33 publications, including peer-reviewed journals and conference papers across interdisciplinary fields such as medical research, materials engineering, and computer science. His work is supported by EU, UK Innovation, and industrial grants. Ali is affiliated with the Future Ubiquitous Networks Lab , where he explores cutting-edge projects in network security, heterogeneous wireless systems, and desktop application development. Despite no listed students or awards, his technical expertise spans project leadership and multidisciplinary collaboration.

• Human-Computer Interaction
• Accessibility
• Assistive Technologies
• +۱۲ مورد دیگر

Benjamin Gorman is a Lecturer at Bournemouth University's Department of Computing and Informatics, where he serves as Deputy Head of Department and Programme Leader for MSc Digital Health and MSc Internet of Things. He co-leads the Bournemouth University Computer Human Interaction (BUCHI) research group and actively contributes to accessibility-focused research in Human-Computer Interaction (HCI). PhD in Computer Science (Human-Computer Interaction) from the University of Dundee (2018) BSc (Hons) in Applied Computing from the University of Dundee (2012) His research focuses on accessibility and assistive technologies, particularly through metadata-driven media adaptation, generative AI applicability for disabled users, and inclusive FinTech design. He emphasizes collaboration with SMEs and community stakeholders through knowledge transfer partnerships. Recent publications highlight his work on emoji accessibility for visually impaired users, adaptive subtitles, and crypto technology inclusivity. These align with UN Sustainable Development Goals related to quality education, industry innovation, and good health. Exceptional Reviewer Recognition in SIGCHI venues As an educator, he leads postgraduate and undergraduate units in accessibility, user-centered web development, and ubiquitous computing. He also contributes to ACM SIGCHI as an Associate Chair and Program Committee member.

Kasthuri Jayarajahمشاهده پروفایل

استادیار

• Mobile and Ubiquitous Sensing
• Deep Learning for IoT and Edge Computing
• Mobility-Driven Urban Analytics
• +۳ مورد دیگر

Kasthuri Jayarajah is an Assistant Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). Her research focuses on mobile and ubiquitous sensing, deep learning for IoT/edge computing, mobility-driven urban analytics, and predictive cyber-physical systems. She holds a Ph.D. in Information Systems from Singapore Management University (2019), a Master of Computing from National University of Singapore (2013), and a B.S. in Electronic and Telecommunication Engineering from the University of Moratuwa (2010). Her work integrates wearable sensing technologies, machine learning, and collaborative systems to solve challenges in urban environments and human-technology interactions. Key research areas include cognitive load assessment via multimodal features, gaze-based AR systems, and lightweight collaborative intelligence frameworks for autonomous systems. She has developed frameworks like CALM for cognitive load measurement and GazeLight for AR-mediated human-robot systems. Dr. Jayarajah's research spans theoretical advancements (e.g., β-Decode for temporal artifact correction) and practical applications (e.g., AirDrop for air-ground teaming in navigation). Her contributions address edge computing constraints, adversarial IoT environments, and urban mobility analytics for smart cities. She teaches courses in mobile computing and sensor networks, bridging academic research with hands-on technical training. Leveraging interdisciplinary approaches, her work bridges computer science with urban planning, robotics, and human factors. Her lab explores innovations in wearable-assisted human-robot teams (TagTeam), lightweight vision models (ComAI), and mobility-driven predictive systems for urban operations.

Renjie Huمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Computer Vision
• +۲ مورد دیگر

Renjie Hu is an Assistant Professor in Information Science Technology at the University of Houston's Cullen College of Engineering, focusing on machine learning applications in computer vision and healthcare analytics. His research develops computational solutions for real-world challenges including medical diagnostics and algorithmic bias detection. Research interests include developing adaptive machine learning algorithms for imbalanced healthcare datasets, detecting biases in generative AI systems, and creating efficient visualization techniques. Current projects explore multi-view learning for enhanced computer vision tasks and clinical applications of predictive modeling. Recent publications (2019-2025) demonstrate innovation in extreme learning machines, healthcare data analysis, and human-computer interaction. Works consistently bridge theoretical algorithms with practical applications in healthcare and media analytics. Teaching responsibilities include courses on data science fundamentals and machine learning applications. Research collaborations extend to healthcare institutions for clinical data analysis projects.

Franco Raimondiمشاهده پروفایل

استاد

• Software Verification
• Multi-agent Systems
• Formal Methods
• +۱ مورد دیگر

Franco Raimondi is Professor of Computer Science at Middlesex University and an Amazon Scholar in the Prime Video Automated Reasoning Group. His research focuses on formal verification methods, multi-agent systems, and security protocols. He leads projects in automated reasoning for distributed systems, including blockchain alternatives and privacy-preserving social platforms (CoSMed). His educational innovations include developing the MIRTO open-source robotics platform for coding instruction and digital twin technologies for scalable computer science education. His work bridges theoretical foundations with industrial applications in security and cloud computing.

Juan Carlos Augustoمشاهده پروفایل

استاد

• Intelligent Environments
• Ambient Intelligence
• Sensor-based Computing
• +۵ مورد دیگر

Professor Juan Carlos Augusto is a Professor of Computer Science and Head of the Research Group on Development of Intelligent Environments at Middlesex University, UK. His research focuses on sensor-based computing, ambient intelligence, smart environments, and context-aware systems. He has led numerous international conferences, including roles as General Chair for IE'25 and IE'24. He is Editor-in-Chief of multiple journals, including the Journal on Smart Cities and Society and the Journal on Ambient Intelligence and Smart Environments. With over two decades of teaching experience, he has taught undergraduate and postgraduate courses in artificial intelligence, formal methods, and software engineering. He has supervised a substantial number of PhD students and has been an external examiner for European PhD defenses. His work emphasizes user-centric design and co-creation of smart technologies for people with special needs, such as those with Down’s syndrome or dementia. He also collaborates with industry to innovate products and processes in healthcare, education, and urban planning.

Marian Hepburnمشاهده پروفایل

مدرس ارشد

• Interaction Design
• Mobile Learning
• HCI (Human-Computer Interaction)
• +۵ مورد دیگر

Dr. Marian Hepburn is a Senior Lecturer and Course Leader for the Digital Media BA (Hons) program at the School of Computing and Digital Media, London Metropolitan University. She specializes in interaction design, mobile learning, and critical design research, emphasizing somaesthetic interaction and novel user interfaces. Her work explores emotional/aesthetic factors in technology, HCI, and emerging technologies like AR, holograms, and projection-mapping. Dr. Hepburn's teaching spans practical and theoretical digital media modules, including media production, animation, web design, and social media strategy. She focuses on pushing creative boundaries through technology, encouraging students to experiment with cutting-edge tools. Her research integrates multimodal interaction methodologies and new media technologies, particularly in educational contexts. Research Focus : Somaesthetic interaction design, emotional UX in mobile devices, critical design research, and accessibility in digital media. She actively supervises master's and PhD candidates in these areas. Publications : Her work spans mobile learning challenges, virtual environments, and inclusive design. Recent topics include ubiquitous m-learning tools and empirical studies on new media in design education. Grants & Advising : No specific grants or advisees listed, but she supervises research projects in interaction design and digital media innovation. Collaborates with academic networks on pedagogical technology applications.

Shashank Agnihotriمشاهده پروفایل

پژوهشگر

• Adversarial Robustness
• Out-of-Distribution (OOD) Robustness
• Neural Architecture Search
• +۵ مورد دیگر

Shashank Agnihotri is a Researcher & PhD Candidate at the Chair for Machine Learning within the Data and Web Science Group at the University of Mannheim. He is affiliated with the School of Business Informatics and Mathematics . His research focuses on adversarial and OOD robustness of vision models, pixel-wise prediction tasks, and neural architecture search. He has contributed to projects like CosPGD (an efficient adversarial attack for pixel-wise tasks) and Improving Feature Stability during Upsampling . Education: PhD Candidate in Computer Science, University of Mannheim (2023–Present) PhD Candidate in Computer Science, University of Siegen (2022–2023) MSc. Computer Science, Albert-Ludwigs Universität Freiburg (2018–2021) B.E. Computer Engineering, VESIT, University of Mumbai (2014–2018) Research Interests: Adversarial and OOD robustness of deep learning models Sensor layout optimization and task-specific camera parameters Signal processing impact on model reliability Neural architecture search (NAS) methodologies Publications & Awards: Published at ICML, ECCV, ICCV, NeurIPS, and ICCP Outstanding Reviewer (CVPR 2025) and Notable Reviewer (ICLR 2025) Organized the 45th DAGM German Conference on Pattern Recognition (GCPR 2023) Labs & Collaborations: Part of the Machine Learning Group at Mannheim and previously at the Machine Learning Group in Freiburg under Prof. Frank Hutter and Prof. Thomas Brox.

• Cryptography
• Embedded Systems
• Biometrics
• +۵ مورد دیگر

Mariano Lopez Garcia is a researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Electronic Engineering at the Polytechnic School of Engineering of Vilanova i la Geltrú (EPSEVG). He is part of the SARTI research group, focusing on technological development in remote sensing and information processing, as well as the SARTI-MAR subgroup addressing marine environment applications. His work emphasizes embedded systems, cryptography, and biometric security, with a strong emphasis on FPGA-based hardware-software co-design for cybersecurity and post-quantum cryptography solutions. His research spans over 150 activities, including peer-reviewed publications, competitive R&D projects, and conference presentations. Key areas include post-quantum cryptography (e.g., McEliece cryptosystem implementations), biometric authentication systems, FPGA acceleration for real-time processing, and control systems for power electronics. Notable projects include developing secure cryptographic key protection against side-channel attacks and creating low-cost embedded systems for signature verification. He has collaborated on initiatives such as the Projecte R+D+I competititu for vector processors in biometric identification and the TEC2015-68784-R project on scalable identification systems. His contributions also extend to power electronics, including sliding mode control for resonant converters and electronic transformer designs. Recent publications (2025) highlight advancements in post-quantum cryptography using FPGA hardware accelerators and constant-weight code-based encryption. His work bridges theoretical research with practical applications in embedded systems and cybersecurity, often leveraging reconfigurable hardware for efficient and secure solutions.

Jinie Pakمشاهده پروفایل

دانشیار بالینی

• Intelligence and Security Informatics
• Social and Organizational Aspects of Information Systems
• Computer Supported Cooperative Work
• +۵ مورد دیگر

Jinie Pak serves as a Clinical Associate Professor in the Department of Computer and Information Sciences within Towson University's Fisher College of Science and Mathematics. Her academic credentials include a Ph.D. (2014) and M.S. (2007) in Information Systems from the University of Maryland Baltimore County, with current contact through office YR-468 and email jpak@towson.edu. Education: Ph.D., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2014 M.S., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2007 Her research program integrates computer science with psychological and sociological frameworks to advance deception detection in computer-mediated communication (CMC). Specializing in Intelligence and Security Informatics, she investigates both social structural behaviors (network patterns, linguistic cues) and psychophysiological indicators (gaze behavior, eye movements) through natural language processing and machine learning. Additional expertise spans Computational Linguistics, Human-Computer Interaction, and Computer Supported Cooperative Work with applications in health informatics. Publication analysis reveals two dominant research trajectories: (1) Health Informatics innovations including patient-centered personal health records, chronic disease management frameworks, and ontology-based health capability models; and (2) Security Informatics contributions to deception detection through structural network analysis and physiological indicators in online environments. Her interdisciplinary approach consistently bridges theoretical foundations with practical system implementations. Scientific Recognition: Best paper nominee at 10th Workshop on eBusiness (WeB 2011) Best poster award at 17th Americas Conference on Information Systems (AMCIS 2011) Professional service includes co-reviewing for IEEE Intelligence Security Informatics, International Journal of e-adoption, and Association of Information Systems publications. While no student advising or grant details appear in current documentation, her active conference participation and journal contributions demonstrate ongoing scholarly engagement. Current research focuses on automating structural deception detection through advanced NLP and machine learning techniques applied to diverse online communication contexts.

Dimitrios Grammenosمشاهده پروفایل

پژوهشگر

• Creative Thinking
• Learning through playing, making & coding
• Human-Computer Interaction
• +۸ مورد دیگر

Dr. Dimitrios Grammenos is a Principal Researcher at the Institute of Computer Science (ICS) of the Foundation for Research and Technology Hellas (FORTH), leading the Human-Computer Interaction (HCI) Laboratory. He specializes in Universal Design, Universal Access, and Ambient Intelligence. With a B.Sc. in Computer Science from the University of Crete and an M.Sc./Ph.D. in Electronic Engineering from the University of Kent, UK, he also holds a Torrance Tests of Creative Thinking certification. Affiliations: HCI Lab, ICS-FORTH. Education: B.Sc. (University of Crete), M.Sc./Ph.D. (University of Kent). His research focuses on Creative Thinking, Game Accessibility, and Interactive Systems for museums/public spaces. Notable achievements include the roboTwin award (2016), Interactive Wall Platinum Award (2014), and the ICS-FORTH Outstanding Contribution Award (2009). He has led projects like Macedonia from Fragments to Pixels and COMnPLAY SCIENCE, promoting informal science education. Grammenos designs workshops on creativity and delivers global talks on innovation. He authored The Orchestra of Colors and co-created the GDPR-themed interactive comic. His work bridges technology, education, and accessibility, emphasizing playful learning and inclusive design.