Find Academic Supervisors

• Deep Learning
• Speech Analysis
• Image and Video Analysis
• +6 more

Ali Shariq Imran is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. He holds a Ph.D. from the University of Oslo and a Master's from NUST, Pakistan. His research focuses on deep learning applications in speech analysis, image/video processing, semantic web technologies, and eLearning. He has published extensively in journals like IEEE Access, Engineering Applications of Artificial Intelligence, and Frontiers in Computational Neuroscience, with notable work on hate speech detection, biomedical signal analysis, and sentiment analysis in social media contexts. His awards include the HEC and UIUC scholarships and a 2015 Best Paper Award at HCI Intl. He serves on the board of the HCI International Conference and is an IEEE member. Teaching includes courses on coding/compression, software engineering, and web development. His competencies span AI, digital signal processing, and multimedia systems. Research interests include contextual understanding, OCR, and object identification in multimedia, alongside eLearning innovations like MOOCs and LMS integration. He has co-edited special issues on healthcare systems and software standards in journals like JMIHI and IEEE Access. His work frequently employs explainable AI (XAI) to enhance transparency in medical diagnostics and social media analysis.

Henrie van den BoomView profile

Assistant Professor

• Electrical Engineering
• Communication Engineering
• Electronic Engineering
• +3 more

Henrie van den Boom is an Assistant Professor (Part-time) in the Electrical Engineering department at Eindhoven University of Technology (TU/e), affiliated with the Electro-Optical Communication Systems group within the Institute for Photonic Integration (IPI). His research focuses on polymer optical fibers (POF), including their applications in high-speed communication systems and low-cost sensor technologies such as pressure sensing for healthcare monitoring. He has contributed to over 200 publications and serves as treasurer of the IEEE Photonics Benelux Chapter. His work spans POF-based solutions for in-home networks, wireless communication systems, and medical sensor systems. Education: MSc in Electrical Engineering from TU/e (1984). Research Interests: Plastic optical fibers, radio-over-fiber systems, biomedical sensors, optical networking, and cost-effective optical technologies. Recent Article Trends: Recent work emphasizes robust sensor systems for patient monitoring, high-speed POF transmission (up to 47.4 Gb/s), and integration of LTE-A and Wi-Fi over POF for in-home networks. Collaborations include sleep medicine centers for clinical sensor applications. Labs and Teams: Active in the Electro-Optical Communication Systems group at TU/e's Institute for Photonic Integration, focusing on photonic integration and novel optical sensor designs.

• Computer Science
• Mobile Computing
• Human-Computer Interaction
• +4 more

Peter Reichl is a Professor in the Faculty of Computer Science, leading the Research Group Cooperative Systems. His work spans interdisciplinary research in Human-Computer Interaction, IoT systems, and Digital Ethics. He actively contributes to the UN Sustainable Development Goals through innovative technology solutions. Key projects include the European Distributed Data Infrastructure for Energy, COMPASS, and symbIoTe. Research interests include mobile computing, tangible interfaces, quantum computing education, and ethical implications of digital transformation. Over 134 publications since 2008 reflect his work in music technology, IoT frameworks, and socio-technical systems analysis. Recent articles highlight creative tech solutions like LEGO-based music sequencers and philosophical explorations of Digital Humanism. He has organized major events like the Dagstuhl Workshop on Quality of Experience (QoE Vadis?) and contributed to policy discussions on digital democracy in Austria. Key Projects: symbIoTe (2016-2018), COMPASS (IoT solutions), European Energy Data Infrastructure (2023-2025) Notable Activities: Panellist on Digital Transformation Ethics (2024), Poster Presenter for Muco app (2022) Labs/Teams: Research Group Cooperative Systems focuses on IoT interoperability and human-centered tech design.

Vishal PatelView profile

Associate Professor

• Computer Vision
• Machine Learning
• Image Processing
• +3 more

Vishal Patel is an Associate Professor of Electrical and Computer Engineering at Johns Hopkins University (JHU), affiliated with the Vision & Image Understanding (VIU) Lab. He previously held the position of A. Walter Tyson Assistant Professor at Rutgers University and was part of the research faculty at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He earned his Ph.D. in Electrical Engineering from the University of Maryland, College Park in 2010. His research focuses on computer vision, machine learning, biometrics, medical image analysis, and signal/image processing. Key areas include cross-spectrum face synthesis, domain adaptation, open-set recognition, and medical image restoration. He leads the VIU Lab, advancing AI-driven visual reasoning and applications in healthcare, autonomous systems, and security. Patel serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence and holds leadership roles in the IEEE Biometrics Council and Signal Processing Society. He has received numerous awards, including the 2021 IEEE SPS Early Career Award, NSF CAREER Award, and IAPR Young Investigator Award. His work has been recognized through Best Paper Awards at IEEE AVSS, BTAS, and ICPR, and he became an IAPR Fellow in 2024. Recent research highlights include developing novel diffusion models for medical video generation (e.g., GenVOG, EyePose), universal image restoration frameworks (UniRes), and multimodal AI tools for surgical skill assessment and maritime surveillance. His lab’s collaborations span bioengineering, robotics, and defense applications, emphasizing both theoretical advances and real-world impact.

Nikola StojanovicView profile

Assistant Professor

• Digital Signal Processing
• Recursive Digital Filters
• Group Delay Equalization
• +3 more

Nikola Stojanovic is an Assistant Professor at the Faculty of Electronics , University of Niš, Department of Electronics. His academic journey includes a PhD in Electronics (2018), an MSc in Multimedia Technologies (2012), and a BSc in Technical Sciences (2005). Role: Assistant Professor (2020–present) Education: PhD (2018), MSc (2012), BSc (2005) Department: Department of Electronics, University of Niš Research Interests: Nikola specializes in Digital Signal Processing , focusing on Recursive Digital Filters and Group Delay Equalization . His work leverages orthogonal polynomials like Chebyshev , Jacobi , and Legendre for optimizing filter responses. He has also contributed to 3D Digitization of Cultural Heritage through project leadership. Publication Trends: Nikola's recent articles (2023–2016) emphasize filter approximation methods , passband optimization , and microwave engineering . His work spans theoretical advancements in digital filter design and practical applications in L-band technology .

• Computer Vision
• Artificial Intelligence
• Shape Recognition
• +7 more

José Javier Valero Más is a faculty member at the University of Alicante, affiliated with the Department of Software and Computing Systems within the School of Engineering. He holds the academic rank of Assistant Professor (Profesor Ayudante Doctor) and is actively engaged in teaching and research. His institutional affiliations include the Institute of Informatics Research (I.U. Investigación Informática) and the Shape Recognition and Artificial Intelligence research group. Academic Background: PhD in Computer Science, University of Alicante (2017) Máster in Sound and Music Computing, Universitat Pompeu Fabra (2013) M.Sc. in Telecommunications Engineering, Cork Institute of Technology (2012) Ingeniero en Telecomunicación, Universidad Miguel Hernández de Elche (2012) Ingeniero Técnico en Telecomunicación (Sonido e Imagen), University of Alicante (2009) Máster in Teacher Training, Universidad de Murcia (2020) Research Interests: José Javier Valero Más specializes in computer vision and artificial intelligence, with a particular focus on shape recognition. His work extends into sound and music computing, digital sound synthesis, and multimedia systems. His interdisciplinary background bridges engineering, computer science, and digital arts, enabling innovative approaches in both visual and audio domains. His research integrates programming, data structures, and signal processing techniques to solve complex problems in recognition and synthesis. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: There is no explicit information regarding graduate student advising, research grants, or funded projects in the provided materials. However, his affiliation with active research groups suggests participation in collaborative research initiatives. Labs and Teams: José Javier Valero Más is a member of the Shape Recognition and Artificial Intelligence research group at the University of Alicante. This group operates under the Institute of Informatics Research (I.U. Investigación Informática), focusing on pattern recognition, machine learning applications in visual data, and intelligent systems. The group fosters interdisciplinary research and contributes to both academic and applied technological advancements.

Yonghao WangView profile

Associate Professor

• Networking
• Cybersecurity
• Blockchain Technology
• +3 more

Dr. Yonghao (Leo) Wang is an Associate Professor at Birmingham City University's Department of Computer Science and Creative Technologies. His research focuses on Networking, Cybersecurity, Blockchain Technology, Digital Signal Processing (DSP), and Cloud/Edge Computing. He actively contributes to international standards bodies like ETSI and AES, and has authored over 60 peer-reviewed publications. His work emphasizes ethical technology integration, particularly in blockchain for inclusive finance and AI, as well as low-latency networking for beyond-5G systems. Research interests include blockchain security, multimedia steganography, AI-driven network optimization, and time-deterministic systems. Dr. Wang also explores how advanced information systems can enhance knowledge acquisition across domains. His recent articles span topics from smart contract security to video steganography in HEVC, reflecting his interdisciplinary approach to technology and societal impact. He serves as a journal reviewer, guest editor, and conference chair, fostering academic collaboration. No specific scientific awards are listed, but his extensive publication record and committee roles highlight his impactful contributions to the field.

• Computer Arithmetic
• Decimal Number Processing
• Hardware Design
• +3 more

Dr. Sonia González-Navarro is an Assistant Professor at the Department of Computer Architecture , University of Malaga, Spain. She has been teaching since 2002 and holds a M.S. in Mathematics (2000) and a Ph.D. in Informatics (2006) from the University of Malaga. Her research focuses on computer arithmetic , particularly the design of arithmetic units for decimal numbers, and previously modeled distributed video-on-demand systems using queueing theory. Her research group, Arquitecturas de Aplicación Específica y Aritmética Computacional , led by Prof. Julio Villalba, has produced notable work on decimal arithmetic units and online addition algorithms. Her publications emphasize hardware design for decimal arithmetic operations, including multioperand addition and rounding units. Earlier work included analytical models for distributed VoD systems, focusing on load sharing and resource optimization. Dr. González-Navarro currently advises Carlos García Vega (shared with Prof. Villalba). Her teaching includes undergraduate courses in Computer Technology and Operating Systems , as well as a master's course on High-Performance and Embedded Architectures . She is actively involved in academic service and collaborations, with over 15 peer-reviewed publications spanning computer arithmetic, hardware design, and distributed systems research.

Manoranjan PaulView profile

Professor

• Artificial Intelligence
• Video/Image Processing
• Machine Vision
• +8 more

Manoranjan Paul is a Full Professor in Computer Science at the School of Computing, Mathematics, and Engineering, Charles Sturt University (CSU), Australia. He is Director of the Computer Vision Lab and Head of the Machine Vision & Digital Health (MAVIDH) Research Group. Paul holds a PhD from Monash University (2005) and has held academic and research roles at institutions including UNSW, Nanyang Technological University (Singapore), and Ahsanullah University of Science and Technology. His research spans Artificial Intelligence , Video/Image Processing , Quantum Computing , Digital Health , and Medical Imaging . Notable contributions include $10M+ in grants (e.g., ARC Discovery Projects, Japanese grants), 250+ refereed publications, and commercialized apps like VineSignal for vine disease detection and Hunter Gatherer Networks for Indigenous marketplaces. Awards include the Golden Disruptor Award and ICT Researcher of the Year 2017 (ACS), and recognition as a World's Top 2% Scientist (Elsevier/Stanford, 2021). Key research initiatives: EEG-based epilepsy prediction ( 90% accuracy ) Quantum image compression ( novel circuits ) Hyperspectral soil analysis ( regression models ) Non-contact cardiopulmonary detection ( smartphone-based ) Supervised 19 PhD students and led international conferences (e.g., PSIVT-19, DICTA-2023). Editor for IEEE Transactions on Image Processing and Multimedia, and Steering Committee Chair for PSIVT.

Patrick HORAINView profile

Professor

• Computer Vision
• 3D Motion Capture
• Image Processing
• +5 more

Prof. Patrick HORAIN is a Professor and Director of ARMEDIA studies at Telecom SudParis. His research focuses on computer vision, 3D motion capture, GPU-accelerated image processing, and Fourier ptychography microscopy. He has contributed to advancements in real-time 3D gesture capture, malaria diagnosis using CNNs, and virtual telepresence systems. Key areas of expertise include real-time monocular vision systems, medical imaging applications, and hardware acceleration frameworks like GpuCV. He has edited conference proceedings for IHCI (Intelligent Human Computer Interaction) and authored over 50 peer-reviewed publications since 1984. His work spans 30+ years, with notable contributions in gesture recognition, virtual reality interaction, and multimodal human-computer interfaces. Current research emphasizes biomedical imaging techniques and neural network applications in microscopy.

Piyush SwamiView profile

Lecturer

• Computer Science
• Telecommunications
• Multimedia Systems
• +3 more

Piyush Swami is a Lecturer at Telecom SudParis, affiliated with the SAMOVAR research department and the ARMEDIA group. His position focuses on academic teaching and research within the fields of computer science and telecommunications. While specific educational background details are not provided in the text, his affiliation with SAMOVAR suggests expertise in multimedia systems, network security, and signal processing. Research interests are inferred from departmental context, including telecommunication technologies, multimedia applications, and human-computer interaction. No publications or awards are explicitly listed in the provided texts. No advising records or grants are mentioned. The SAMOVAR laboratory serves as his primary research and collaboration hub.

Brent De WeerdtView profile

Researcher

• Interpretable Deep Learning
• Distributed Source Coding
• Generative AI
• +3 more

Brent De Weerdt is a doctoral student and researcher at the Vrije Universiteit Brussel, affiliated with the Faculty of Engineering and the Electronics and Informatics department. His research focuses on interpretable deep learning, distributed source coding, generative AI, and AI explainability. He holds a Master of Science in Electrical Engineering from the same institution (2021). Current projects include the FWOSB140 DUST project, exploring interpretable and efficient deep unfolding sparse transformers for multimodal image processing and generation. He has published in top-tier venues like IEEE Transactions on Signal Processing and IEEE conferences, with contributions to sparse recovery, trajectory anomaly detection, and layered coding. De Weerdt actively engages in peer-review activities for journals such as IEEE Transactions on Multimedia and conferences like the European Signal Processing Conference. His work bridges theoretical signal processing with practical AI applications, emphasizing interpretability and efficiency in neural architectures.

• Digital Signal Processing
• Real-Time Systems
• Embedded Systems
• +3 more

Јелена Ковачевић is an Associate Professor and Chair of the Department of Computer Communications at the Faculty of Technical Sciences, University of Novi Sad. She obtained her BSc in Computer Engineering (1997), MSc in Digital Signal Processing (2003), and PhD in Multimedia Network Systems (2010) from the same institution. Her research focuses on real-time system software, embedded computing, and digital signal processor architectures. Leadership roles: Department Chair since 2024, previously served as Associate Professor and Lecturer in Computer Science EU Projects: Participated in FP7/E2LP (Embedded Engineering Learning Platform) and IPA/CIRENE (Cross-border ICT Research Network) Teaching: Specializes in Digital Signal Processor Algorithms, Real-Time Systems, and Embedded Software courses Research Output: Over 120 international journal/conference publications and patented technical solutions in EU-funded projects.

• Immersive Media Experiences
• Digital Storytelling
• Quality of Experience (QoE)
• +3 more

Andrew Niels Perkis is a Professor at the Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on the intersection of art and technology, with emphasis on immersive media experiences, quality of experience (QoE) modeling, transmedia storytelling, and sensor-based digital narratives. He co-founded the Sense-IT laboratory and leads the ARTEC task force for art-technology research directions. Current research areas: IoT-driven digital storytelling, immersion and presence, media value chain quality assessment Applications: Creative industry business models, public space art installations, VR hazard awareness tools Recent publications address VR usability for geohazard visualization, motor task performance in immersive environments, and stakeholder engagement frameworks. His work integrates technical innovation with human-centric design principles. Awards: Winner, SXSW 2018 Place by Design competition NM Art and Design Prize (2016)

• Interactive Audio
• Game Audio
• Electroacoustics
• +12 more

Christos Michalakos is a Senior Lecturer in Game Audio at the School of Design and Informatics, University of Abertay, where he teaches and researches in interactive audio, game sound, and digital performance. His work bridges music, technology, and games, with a focus on real-time systems and improvisation. BSc in Mathematics, University of Crete (2006) MSc in Acoustics and Music Technology, University of Edinburgh (2008) PhD in Creative Music Practice, University of Edinburgh (2013) His research centers on expressive music technologies, live electronics, and XR audio, exploring how sound interacts with games and performance. He develops custom systems for interactive music and has performed internationally with artists like Evan Parker and Stelarc. His work often involves hybrid instruments, such as his sensor-augmented drum-kit, and investigates affordances in digital sound environments. The recent publications show a strong trend in using game engines and virtual reality for musical composition and improvisation, blending software development with artistic practice. Topics include procedural audio, real-time interaction, and immersive sound design, reflecting a deep integration of computer science and digital arts. Notable scientific awards include: Royal Society of Edinburgh Enterprise Fellowship (2018) Carnegie Trust Research Incentive Grant (2017) EPSRC Scholarship (2007) Multiple PRE Grants and performance bursaries Christos supervises honours projects and has led knowledge exchange initiatives like school workshops and festival presentations. He is affiliated with research groups such as Sound Lab Edinburgh and co-directed Inventor Composer Coaction. His research is supported by grants from the Royal Society of Edinburgh and the Carnegie Trust, indicating active funding and scholarly impact. He is involved in collaborative performance projects, software development for artistic purposes, and outreach through festivals and workshops, demonstrating a strong commitment to both academic and public engagement in digital music and game audio.