Find Academic Supervisors

• Data Science
• Healthcare Informatics
• Artificial Intelligence
• +3 more

Xin Li is affiliated with Duke Kunshan University's Data Science Research Center, where they hold the role of Researcher. Their work focuses on interdisciplinary applications of data science and artificial intelligence, including healthcare informatics, autonomous systems, and medical decision support. Research interests span healthcare technology (stroke rehabilitation decision systems, medical imaging analysis), transportation (autonomous driving perception, vehicle scheduling), and computer vision (object detection, image segmentation). Notable contributions include developing interpretable decision support frameworks for critical-care rehabilitation and improving pothole detection algorithms for autonomous vehicles. Recent publications emphasize deep learning applications in time series analysis (power data evaluation), medical diagnostics (MRI-based liver function assessment), and agricultural monitoring (disease detection via drone imagery). Ongoing work explores reinforcement learning for multi-agent systems and wearable health technologies.

Paulo Jorge Teixeira MatosView profile

Professor

• Technological Innovation Entrepreneurship
• Intelligent Decision Support Systems
• Web Semantic
• +3 more

Paulo Jorge Teixeira Matos is a Professor at the Polytechnic Institute of Bragança's Informatic and Communication Department, where he has held a faculty position since 1996. With a PhD in Technologies of programming (2005) and over 40 indexed publications, he bridges academic research with entrepreneurial ventures. His educational background includes: Industrial Electronic Engineering (1994) M.Sc. in Informatics (1999) PhD in Technologies of programming (2005) Matos's research centers on Intelligent Decision Support Systems , Web Semantic , IoT , and Industry 4.0 , with dominant focus on technological innovation entrepreneurship . His work consistently translates theoretical frameworks into practical applications through startups and industry collaborations, emphasizing real-world problem-solving in smart environments and resource optimization. Analysis of his 60+ publications reveals strong trends in smart environmental systems (comfort management, energy efficiency), sports technology immersion, and agricultural/disease control solutions. His interdisciplinary approach integrates computer science with medicine, agriculture, and finance, demonstrating exceptional versatility across domains. He has supervised over 180 students across academic levels and secured participation in major projects including Grace, Arum, Smart-LEM, Smart-Light, and AgriFood. His entrepreneurial leadership spans Techwelf (founded 2013, as CTO/CEO) and Aresta Binária (founded 2017, as CTO), developing products like Welfy HVAC controllers and Pin2Give marketplace that gained international recognition through EDP Innovation and Boston Global Immersion programs.

Conor KeighreyView profile

Lecturer

• Virtual Reality
• Quality of Experience
• Augmented Reality
• +2 more

Conor Keighrey is a Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. His research focuses on immersive technologies, including Virtual Reality quality of experience, human-computer interaction, and assistive applications. Key interests involve optimizing collaborative VR systems and developing accessible XR solutions. Recent publications emphasize VR applications in industrial design, accessibility tools for visually impaired users, and physiological metrics in collaborative environments, demonstrating a consistent focus on user-centered extended reality systems.

Barış GöktepeView profile

Researcher

• Wireless Communication
• 5G/6G Networks
• Information Theory
• +5 more

Barış Göktepe is the Head of the Multimedia Communications Group at the Fraunhofer Heinrich Hertz Institute (HHI), where he has been since 2013. He holds a Dr.-Ing. in Electrical Engineering from TU Berlin (2014 B.Sc., 2017 M.Sc.). His research focuses on channel coding, information theory, and feedback mechanisms in wireless communication, with over 10 peer-reviewed publications in next-generation mobile communication. He actively contributes to 3GPP RAN1 5G standardization, specializing in HARQ feedback, NR for unlicensed spectrum, and URLLC optimization. Key research areas include: 5G/6G Network Protocols Unlicensed Spectrum Utilization (NR-U) HARQ Feedback Mechanisms URLLC Reliability V2X (Vehicle-to-Everything) Systems Sidelink Communication Design His recent work emphasizes 5G NR standardization advancements, including groupcast resource allocation, low-latency protocols, and interference management in unlicensed bands. Despite prolific publication activity, no scientific awards or formal advisees are listed.

Wim VanhoofView profile

Professor

• Logic Programming
• Constraint Programming
• Software Testing
• +4 more

Wim Vanhoof is a Professor at the Faculty of Computer Science, University of Namur, leading the Research Group on the Foundations of Computer Science. He holds a Doctor of Science degree from KU Leuven (2001), specializing in clustering and instance-based learning in first-order logic. His research focuses on logic programming, constraint solving, software testing methodologies, concurrency in programming, and educational technology. Key projects include Sandbox4CS (2024–2025), a research infrastructure for computer science, and collaborative efforts like Silverkit (2019–2022), aimed at improving senior citizens' interaction with digital tools. His research interests span formal methods, program analysis, automated testing, and educational innovations in computer science. Notable contributions include frameworks for relational symbolic execution of SQL, semantic clone detection in CLP, and tools like Moulinog for generating Prolog assignments. Vanhoof has authored over 90 publications and supervised 83 students, reflecting his extensive academic leadership. He received the IBM Belgium Prijs informatica (1996) and remains active in academic activities, including organizing workshops and conferences like FOCUS Research Seminar (2019) and participating in events such as Computer Science Logic 2022. His work bridges theoretical foundations with practical applications, emphasizing software quality, concurrency management, and educational pedagogy.

Hana VrzakovaView profile

Research Fellow

• Eye-Tracking Analysis
• Machine Learning
• Multimodal Modeling
• +5 more

Hana Vrzakova is a Postdoctoral Research Associate at the University of Colorado and holds leadership roles at the University of Eastern Finland (UEF) and Microsurgery Center KYS. Her research focuses on eye-tracking technologies, machine learning applications in human-computer interaction, and medical informatics. She investigates multimodal modeling for surgical training, cognitive workload assessment, and social media behavior analysis. Key roles include Head of Medical ICT Development at KYS and Head of Research at UEF’s EMC. Her work bridges computer science with clinical applications, particularly in microsurgery and neurosurgery training. She has pioneered tools like the Web-Tracking Plugin (WTP) for real-time AOI annotations and contributed to spectral video integration in medical imaging. Research interests span gaze-based intent prediction, affect recognition in code reviews, and collaborative problem-solving dynamics. She has received awards such as the ACM LAK2020 Best Paper Award and the CHI Doctoral Consortium Award, reflecting her impactful contributions to learning analytics and human-computer interaction. Her publications emphasize interdisciplinary approaches, combining machine learning with medical device development, surgical education, and stress biomarker modeling. Current projects include HSI standards for neurosurgery and VR-based anatomical training systems.

Susan WindischView profile

Academic

• Natural Language Processing
• Event Representation
• Verb Polysemy
• +6 more

Susan Windisch is an Associate Teaching Professor and Senior Research Associate at the University of Colorado's Department of Linguistics. She serves as Director of CLASIC (Computational Linguistics, Analytics, Search and Informatics), a professional M.S. program in computational linguistics. Her academic journey began with a joint Ph.D. in Cognitive Science and Linguistics from the University of Colorado in 2010, followed by postdoctoral research at the University of Florence. Her research focuses on natural language processing , with an emphasis on event representation verb polysemy metaphor ontology development entity tracking large language models . She has contributed to foundational NLP resources like VerbNet, OntoNotes, and the IMAGACT ontology, and her work explores the intersection of cognitive linguistics and computational modeling. Dr. Windisch teaches corpus linguistics and natural language processing courses, including the CLASIC capstone where students develop industry-focused projects. Her publications highlight collaborations with leading researchers in semantic parsing, cross-lingual resource development, and multimodal annotation. Notable projects include the DARPA-Wikidata ontology and the Rich Event Ontology.

• Computer Vision
• Machine Learning
• Human Motion Modeling
• +3 more

Korrawe Karunratanakul is a researcher at the Computer Vision Lab of ETH Zürich , focusing on advanced computational methods at the intersection of computer vision, machine learning, and human motion modeling. His work addresses fundamental challenges in physics-based character control, hand reconstruction, and human motion synthesis through innovative generative approaches. His research portfolio demonstrates expertise in: Applying diffusion models for controllable motion generation Developing neural representations for articulated hand reconstruction Advancing code-switching speech recognition systems Creating hybrid algorithms for peptide sequencing Recent publications highlight his specialization in physics-based animation, temporal coherence for motion sequences, and implicit modeling of complex biological structures. His interdisciplinary work spans computer science, bioinformatics, and computational linguistics.

• Cybersecurity
• Information Security
• Phishing Prevention
• +3 more

Dr. Daniele Lain is a Researcher at ETH Zürich's Institute of Information Security, part of the Professorship for Computer Science. His work focuses on cybersecurity, phishing prevention, and trusted execution environments. He explores user-centric security solutions, compiler vulnerabilities, and hardware-software co-design for robust systems. His research often addresses real-world challenges like phishing defense mechanisms, side-channel attacks, and privacy-preserving technologies. Notable contributions include studies on organizational phishing resilience, secure cloud storage (2fe), and mitigating compiler-induced timing attacks. He also investigates acoustic eavesdropping in VoIP systems and identity leasing via trusted execution environments. His work bridges theoretical advancements with practical applications, emphasizing user behavior and system integrity. His publications span 2015-2025, covering topics like misinformation detection in social networks, LTE network vulnerabilities, and password leakage via keystroke videos (PILOT). Though no awards are listed, his research is widely cited in security communities. He collaborates with industry and academia to develop tools like IntegriScreen for remote session supervision and SILK-TV for keystroke timing analysis.

• Biometrics
• Image Processing
• Signal Processing
• +4 more

Patrizio Campisi is an academic affiliated with Roma Tre University in Rome, Italy. His primary research focuses on biometric systems, information forensics, and signal processing. He has published extensively in top-tier journals and conferences, including IEEE Transactions on Information Forensics and Security, IEEE Signal Processing Magazine, and EUSIPCO. His work spans areas such as vein recognition, EEG-based biometrics, and cryptographic methods for privacy preservation. He has collaborated with numerous researchers globally and contributed to standards for biometric authentication in the EU. Research Interests: Biometric systems (finger/hand vein, EEG, keystroke dynamics) Secure template protection mechanisms Forensic analysis of digital media Machine learning applications in pattern recognition Medical imaging and wearable devices Recent work emphasizes developing explainable AI for biometric systems and creating secure, unlinkable authentication methods. He has also contributed to policy initiatives like the European Association for Biometrics' position paper on Schengen travel security.

• Fractional-Order Systems
• Chaotic Systems
• Field-Programmable Gate Array (FPGA) Implementations
• +5 more

Ahmed Gomaa Radwan is a Professor at Cairo University's Department of Engineering Mathematics and Physics, Egypt. His research spans fractional-order systems , chaotic dynamics , FPGA implementations , and bio-impedance modeling , with numerous publications in IEEE Access, Microelectronics Journal, and Circuits Systems Signal Processing. Key collaborators include Lobna A. Said , Wafaa S. Sayed , and Ahmed Soltan . His work emphasizes chaos-based encryption , fractional calculus , and hardware accelerators for real-world applications. Publications highlight trends in fractional-order chaotic systems , memristor technology , and secure image processing , often involving CNTFET designs and nonlinear resonators .

• Electrical Engineering
• Robotics
• Signal Processing
• +7 more

Jewon Lee is a researcher with a focus on interdisciplinary domains spanning Electrical Engineering , Robotics , Signal Processing , and Computer Science . Their work includes collaborations with co-authors like Joon-Young Jung and Sang Woo Kim on fault diagnosis for permanent magnet synchronous machines, IQ data compression methods, and video streaming optimizations. Publications highlight expertise in sensor technology, telecommunications, and machine learning model efficiency. Research interests are diverse, encompassing sensor design , fault detection in electric motors , adaptive video streaming , and large language model (LLM) optimization . These areas are reflected in their contributions to journals such as IEEE Transactions on Industrial Electronics , Sensors , and IEEE Access , as well as conferences like ICTC and ICUFN. Their recent work on LLaMA-3.2-Vision and knowledge graphs indicates an expanding role in Computer Science and Open Science initiatives, aligning with global efforts like the National Research Data Infrastructure (NFDI) . Despite active contributions, specific awards, educational background, and student advising details are not publicly documented in the provided sources.

Sander StuijkView profile

Associate Professor

• Embedded Systems
• Signal Processing
• Multi-Core Architectures
• +3 more

Sander Stuijk is an associate professor at the Department of Electrical Engineering of Eindhoven University of Technology, chairing the Electronic Systems (ES) group. His research focuses on design methodologies for embedded signal processing applications in high-tech systems like industrial manufacturing, automotive, and healthcare. He develops high-level compilation strategies for heterogeneous multi-core platforms, with interests in efficient code generation and resource allocation. Prof. Stuijk holds leadership roles including chairing the ES group, serving on the board of 4TU.NIRICT (a Dutch ICT research consortium), and coordinating the Embedded Systems master program. He contributes to national ICT initiatives through ICT Next Generation, a network for mid-career academics. He also chaired the Department Council (2016-2018) and participates in TPC activities. His research spans streaming applications, real-time systems, and multi-processor architectures. Notable projects include the PROMES initiative (programming embedded multi-media systems) and the MNEMEE project (automated MPSoC design). His work emphasizes predictable and energy-efficient computing, with applications in healthcare monitoring (e.g., remote PPG, thermal imaging) and reconfigurable systems. Prof. Stuijk has advised numerous PhD/Master students and led projects like FORSEE, VSM, and SenSafety. His publications include over 70 journal/conference papers, covering topics like neuromorphic computing, GPU optimization, and medical signal processing. He actively engages in academic service, including organizing SCOPES workshops and serving on editorial boards.

Saksham SuriView profile

Researcher

• Computer Vision
• Machine Learning
• Diffusion Models
• +12 more

Saksham Suri is a Researcher at Meta Reality Labs , focusing on efficient foundation models and computer vision . He earned his PhD in Computer Science from the University of Maryland, College Park , advised by Prof. Abhinav Shrivastava . Prior to this, he completed his B.Tech in Computer Science and Engineering at IIIT Delhi , where he worked at the IAB Lab and Precog research group. His research interests center around computer vision and machine learning , particularly in reducing supervision requirements and leveraging synthetic data (e.g., from diffusion models and GANs ) for tasks like object detection , image segmentation , lip synchronization , and video instance segmentation . He has proposed novel architectures and loss functions to enhance recognition through generation, addressing challenges in sparsely annotated object detection , autoregressive generative models , and efficient feature transforms for Vision Transformers . Notable publications include LARP (ICLR 2025, under review), UVIS (CVPR Workshop 2024), Gen2Det (CVPR Workshop 2024), LiFT (ECCV 2024), GRIT (WACV 2024), and Diff2Lip (WACV 2024). These works span topics in video tokenization , synthetic data for detection , lightweight feature transforms , and audio-conditioned lip synchronization . He has collaborated with researchers such as Rama Chellappa , Mayank Vatsa , Richa Singh , C.-C. Jay Kuo , and Larry Davis . His academic contributions include open-source code repositories for projects like LARP , SparseDet , ViT Analysis , and LiFT . He has also served as an Area Chair for CVPR (2018–2021) and contributed to educational resources for courses like CS188 at UC Berkeley.

Yansha DengView profile

Professor

• 5G & 6G Wireless Communications
• Multi-Scale Communications
• Machine Learning
• +7 more

Professor Yansha Deng is a leading researcher in the Department of Engineering at King’s College London , specializing in 5G/6G wireless communication , multi-scale communication systems , and machine learning applications . She serves as Senior Editor for IEEE Communications Letters and holds editorial roles in multiple top-tier journals. Research Focus : Semantic-aware communications, molecular communication systems, UAV network optimization, and edge AI. Funding : Principal Investigator for £2.6M+ and Co-Investigator for £14M+ from EPSRC, Horizon Europe, DSIT, and industry partners. Scientific Awards include the IEEE Communications Society Best Young Researcher Award (2021), Best Paper Awards at ICC 2016 and GLOBECOM 2017, and exemplary reviewer recognitions. Recent Articles explore semantic communication for robotics, federated learning with LLMs, molecular biosignal analysis, and secure UAV networking—reflecting her interdisciplinary impact.