جست‌وجوی استاد و پژوهشگر

Annegret Falknerمشاهده پروفایل

استادیار

• Neuroscience
• Behavioral Neuroscience
• Social Behavior
• +۳ مورد دیگر

Annegret Falkner is an Assistant Professor at the Princeton Neuroscience Institute (Princeton University). Her research focuses on the neural mechanisms underlying social behavior, social affective states, and hormone-dependent neuroplasticity in adults. She holds a BA in Biology and Biochemistry from Oberlin College (2002), a PhD in Neuroscience from Columbia University (2012), and completed postdoctoral training at NYU. Her work integrates experimental and computational approaches to study aggression circuits, social learning, and stress responses. Education: B.A. Biology & Biochemistry, Oberlin College (2002) PhD in Neuroscience, Columbia University (2012) Postdoctoral Fellowship, NYU (2012–2016) Research Interests: Dr. Falkner’s lab investigates how neural circuits mediate social interactions, aggression, and hormonal influences on behavior. Key themes include: Neuroendocrine regulation of social motivation Aggression circuits and behavioral persistence Neural substrates of social learning Stress and resilience mechanisms Her recent studies explore dopamine’s role in resilience, oxytocin’s role in maternal behavior, and computational tools for multi-animal tracking. Recent Research Trends: Her articles highlight advancements in aggression circuit dissection, neuroendocrine systems analysis, and behavioral tracking technologies. Work on the lateral habenula and dopaminergic signatures underscores her focus on stress and resilience pathways. Lab & Collaborations: Her lab employs rodent models, electrophysiology, and machine learning (e.g., SLEAP system). Collaborations emphasize interdisciplinary approaches to neurobehavioral problems.

• Multimedia Computing
• Computer Vision
• Computer Graphics
• +۷ مورد دیگر

Professor Zhiyong Wang is a faculty member at the School of Computer Science, University of Sydney, serving as Deputy Director of Sydney Informatics Hub and Director of the Multimedia Computing Laboratory. His research focuses on multimedia computing, including information retrieval, computer vision, AI, and applications in agriculture, healthcare, and environmental monitoring. He holds a B.Eng., M.Eng. from South China University of Technology, and a Ph.D. from The Hong Kong Polytechnic University. His work bridges theoretical advancements and real-world applications, with over 200 peer-reviewed publications. He is a member of IEEE and former President of Australia Pattern Recognition Society (APRS). Research Interests: Enabling computers to understand and create multimedia content, with emphasis on human-centric computing, remote sensing, and interdisciplinary applications. Notable areas include action recognition, medical image analysis, and environmental monitoring. Current Roles: Leads the Multimedia Computing Lab, collaborates with Sydney Institute of Agriculture and Brain and Mind Centre. Teaches COMP5216 (Mobile Computing), COMP5405 (Digital Media Computing), and COMP5425 (Multimedia Retrieval). Students: Supervises 9 Ph.D. students focusing on topics like precision agriculture, biomedical engineering, and AI-driven video analytics. Key projects include soil moisture forecasting, biomechanical risk analysis for knee osteoarthritis, and explainable machine learning.

David Hainesمشاهده پروفایل

مدرس ارشد

• Installation Art
• Sound Art
• Aroma Chemistry in Art
• +۵ مورد دیگر

David Haines is a Senior Lecturer in Visual Art at Sydney College of the Arts, University of Sydney. He holds a BA(VA) from UNSW and a PhD from the University of Sydney. His research focuses on interdisciplinary practices blending installation art, sound performance, and aroma chemistry, often exploring unseen energies like cosmic rays and electromagnetic fields. Collaborations with Joyce Hinterding are central to his work, producing immersive installations exhibited globally. Education: BA(VA), UNSW PhD, University of Sydney GradDipProfArtStudies, UNSW Research interests include aroma utilization in art, real-time 3D game engine visuals, and hydrogen alpha solar photography. His work bridges science and art, using technologies like gas chromatographs and thermoelectric modules. Key projects include Energies: Haines & Hinterding (2016) and Pink Steam (2022). Awards: Australia Council for the Arts 2-year Fellowship (2017) Premier of Queensland's National New Media Art Award (2008) Advising and grants: Haines has held academic positions at COFA (UNSW) and University of Western Sydney. His work involves institutional collaborations like the Museum of Contemporary Art and Bundanon Trust. Current research explores VR environments and aroma-based installations. Key affiliations include the Sarah Cottier Gallery and Asialink-Myer Foundation. His work is represented in major collections including the Tate Liverpool and Sao Paulo Biennale.

Sidi Luمشاهده پروفایل

استادیار

• Edge Computing
• Autonomous Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Sidi Lu is an Assistant Professor in the Department of Computer Science at William & Mary. His research focuses on edge computing, autonomous vehicles, and applied AI, emphasizing reliable and efficient computing systems for transportation and IoT. He joined William & Mary in August 2023 after completing his PhD at Wayne State University, where he specialized in vehicle computing and edge intelligence. Education: PhD in Computer Science, Wayne State University (2023) Exchange Undergrad in Electrical and Computer Engineering, University of California, Riverside B.Eng in Electronic Information Engineering, Xidian University Research Interests: Sidi explores edge computing frameworks for connected vehicles, teleoperation in autonomous systems, and AI-driven solutions for real-world challenges. His work bridges theory and practice, addressing scalability, security, and efficiency in vehicle-edge-cloud ecosystems. Awards & Recognition: Class of 2024 Influencer Recognition (William & Mary) NSF CRII Award (2023) Ralph H. Kummler Award (2022) Dr. Michael E. Conrad Graduate Research Award (2021) Grants & Services: Sidi leads NSF-funded projects and serves on technical committees for top conferences like ACM/IEEE SEC and IEEE MOST. He mentors students in research and organizes events at Grace Hopper Celebrations. Labs & Teams: Director of the Vehicle Computing Lab at William & Mary, focusing on advancing autonomous systems and edge-enabled applications.

Gregory F. Welchمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Gregory F. Welch is the Pegasus Professor and AdventHealth Endowed Chair in Simulation at the University of Central Florida (UCF). He holds appointments in the College of Nursing, Department of Computer Science, and the Institute for Simulation & Training. As Co-Director of the Synthetic Reality Laboratory, his research focuses on virtual/augmented reality, human-computer interaction, and healthcare/defense applications. Welch earned a Ph.D. in Computer Science (UNC Chapel Hill, 1997) and a B.S. in Electrical Engineering Technology (Purdue University, 1986). Prior roles include work at NASA's Jet Propulsion Laboratory and Northrop-Grumman. His awards include IEEE Virtual Reality Academy induction (2022), IEEE VR Technical Achievement Award (2018), and ACM SIGGRAPH Pioneer recognition. He maintains an influential Kalman Filter website with over 12,000 citations. Welch serves as an IEEE Technical Expert for VR/AR and Vice Chair for Conferences in the Visualization and Graphics Technical Community. Notable contributions include the physical-virtual patient system for medical training and innovations in augmented reality interfaces. His work bridges computer science with healthcare and defense sectors, emphasizing human-centric design and cross-disciplinary collaboration.

Lichao Sunمشاهده پروفایل

استادیار

• Artificial Intelligence Security
• AI Privacy
• Machine Learning
• +۷ مورد دیگر

Lichao Sun is an Assistant Professor of Computer Science and Engineering at Lehigh University. He holds a Ph.D. in Computer Science from the University of Illinois at Chicago (2020), and bachelor's and master's degrees in Computer Science and Engineering from the University of Nebraska-Lincoln. His research focuses on AI security and privacy, addressing vulnerabilities in AI systems, particularly in large language models and multimodal systems. He also explores data mining, federated learning, and reinforcement learning applications. His educational background includes: Ph.D., Computer Science, University of Illinois at Chicago (2020) M.S., Computer Science, University of Nebraska-Lincoln B.A., Computer Science and Mathematics, University of Nebraska-Lincoln Research interests emphasize mitigating security threats in AI, including adversarial attacks (backdoors, token-level vulnerabilities), robust watermarking, and privacy-preserving techniques in federated learning. His work integrates vision-language models, multimodal reasoning, and ethical AI safety. Recent studies highlight innovations in secure embedding aggregation, generative AI defenses, and strategic reasoning in LLMs. Publications (2025) reflect a focus on AI security, multimodal systems, and reinforcement learning applications, with contributions to conferences like CCS, NeurIPS, and AAAI. His research bridges theoretical advancements with practical cybersecurity solutions for modern AI architectures. No scientific awards explicitly mentioned in the provided text. His advising and grants details are not detailed here, though his prolific publication record suggests active research funding. No lab/teams explicitly referenced in the input data.

Katja Rogersمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Katja Rogers is a former Researcher and External PhD Candidate at the Department of Media Informatics, Ulm University. She earned her M.Sc. in Computer Science from Ulm University, completing a semester abroad at National Taiwan University and her master’s thesis at the University of St Andrews as a visiting scholar. Her academic career included research visits at the University of Waterloo’s HCI Games Group and the University of St Andrews’ SACHI research group. She obtained her PhD in March 2020 and pursued further academic work in Canada. Education: M.Sc. in Computer Science, Ulm University Master’s thesis: Visiting scholar at University of St Andrews (SACHI group) Semester abroad: National Taiwan University Research Interests: Rogers focuses on Human-Computer Interaction (HCI), serious games, virtual reality, ubiquitous computing, and audio in games. Her work combines educational technology with user experience design, exploring topics like procedural content generation, player behavior analysis, and adaptive game systems. Teaching: She taught courses such as Serious Games, Ubiquitous Computing, Game Design and Development, and Web Engineering at Ulm University. She also led seminars on Research Trends in Media Informatics. Projects: Key contributions include the 2084 Safe New World pervasive game (presented at CHI Play 2016), Bool the Miner (a Boolean algebra educational game), and the P.I.A.N.O. interactive piano learning system. These projects highlight her expertise in game-based learning and interactive technologies. Advising & Grants: Supervised multiple student theses on topics like procedural content generation, game AI, and sustainable textile production games. Collaborated on projects funded by grants supporting HCI and educational tech initiatives. Labs/Teams: Affiliated with the Institute of Media Informatics and collaborated with external groups like the HCI Games Group (University of Waterloo) and SACHI (University of St Andrews).

Ruth Farrarمشاهده پروفایل

عضو هیئت علمی

• Sound Art
• Binaural Technology
• Immersive Audio
• +۵ مورد دیگر

Dr Ruth Farrar is a Reader in Creative Media and Enterprise at Bath Spa University's Bath School of Art, Film and Media. She serves as Co-Director of the Centre for Cultural and Creative Industries (CCCI), co-investigator on the £46M MyWorld project, and Knowledge Exchange Lead in her school. Her research focuses on immersive audio, binaural technology, and public engagement strategies, with notable projects like the Immersive Audio Network and the award-winning 'Dear Carnegie Hall' app. She founded Shextreme Film Festival and leads the NET Lab, actively supporting academic-industry partnerships. A Fellow of the Higher Education Academy, her work bridges creative practice with academic research. Education: Completed an AHRC-funded PhD by practice at the University of Exeter (2011-2016) on binaural technology applications. Research interests include sound art, spatial audio innovation, and leveraging technology for cultural preservation. Her work has been exhibited internationally, including at the Moving Sounds Festival in New York and Cannes Film Festival. Recent projects emphasize collaborative approaches to immersive experiences with partners like the Roman Baths. Grants: MyWorld (2018-2023), AHRC PhD funding. Awards: Recognized for impactful public engagement and feminist filmmaking contributions. Professional roles include membership in Film Hub South West and leadership in global adventure media networks.

• Cognitive Psychology
• Public Health
• Road Safety
• +۵ مورد دیگر

Dr Helen Keyes serves as Head of School for the School of Psychology, Sport and Sensory Science within the Faculty of Science and Engineering at Anglia Ruskin University. As a cognitive psychologist, she conducts experimental and questionnaire-based research to enhance road safety, public health, and higher education student success through evidence-based interventions. Her academic qualifications include: PhD in Psychology, UCD Dublin BSc (Hons) Psychology, First Class Honours, UCD Dublin PGCert Learning and Teaching, Anglia Ruskin University SMI Level 7 Senior Leadership Programme, Institute of Government Heads of Leadership Development Programme, Progress 360 Aurora Leadership Development Programme, Advance HE Dr Keyes' research spans three interconnected domains: population-level health and wellbeing improvement through public health initiatives; higher education student engagement, employability and mental health strategies; and road user behavior analysis focusing on visual perception in cycling and driving contexts. Her work bridges cognitive psychology with practical applications in transportation safety and educational design, consistently emphasizing real-world impact. Her recent publications (2022-2024) demonstrate a strategic shift toward large-scale international health studies examining adolescent risk behaviors across 30+ countries, while maintaining her foundational expertise in cognitive mechanisms of visual perception. This dual focus reveals her ability to translate laboratory-based psychological principles into global public health solutions, particularly in road safety and youth wellbeing. She actively supervises doctoral research in visual and aural perception related to road user behavior, with funded projects including a BA/Leverhulme grant on driver-motorcycle interactions and consultancy work with local councils to enhance cycling infrastructure. Her leadership extends to ARU's Applied Social Change Research Hub and Cognition Group, where she integrates research with community impact initiatives. Within university governance, Dr Keyes serves as Governor of Cambridge and Peterborough Foundation Trust, chairs the Student Wellbeing Strategy Steering Group, and leads curriculum integration of mental health support. Her media contributions—including features in The Washington Post and Naked Neuroscience—demonstrate her commitment to public engagement with psychological science.

Austin Mooreمشاهده پروفایل

مدرس ارشد

• Dynamic Range Compression
• Music Production Techniques
• Distortion in Audio
• +۲ مورد دیگر

Austin Moore is a Senior Lecturer in music production and sound engineering at the University of Huddersfield, where he leads courses in Sound Engineering and Creative Music Production. His research examines distortion, compression, and non-linear signal processing in music production. His work analyzes sonic signatures of audio hardware, perceptual effects of dynamic range compression, and spatial audio techniques. He investigates how distortion shapes musical aesthetics across genres from rock to electronic music. He co-edited Distortion in Music Production: The Soul of Sonics (Routledge 2023) and co-edits the Journal of Music Production Research. He teaches modules on sound engineering, mixing, synthesis, and electronic music production.

Felix Jesus Garcia Clementeمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Industry 4.0
• +۳ مورد دیگر

Félix Jesús García Clemente is a Full Professor in the Department of Computer Architecture and Technology at the University of Murcia's Faculty of Computer Science. He is a member of the Mobile Computing and Computer Vision Research Group and serves as Project Manager at CyberDataLab and Director of the University Chair in Smart Industry. His work spans cybersecurity, AI, Industry 4.0, and educational technology, with over 100 publications and active involvement in national and international R&D projects. Education: PhD in Computer Science from the University of Murcia (2006), supervised by Dr. Gregorio Martínez Pérez and Dr. Antonio Skarmeta Gómez. Research Interests: Cybersecurity (including anomaly detection and threat mitigation), AI applications in education and industry, Industry 4.0 technologies, and game-based assessment systems. His work integrates machine learning, IoT, and fog computing for real-world applications such as smart farming and industrial automation. Recent Research Trends: A focus on cybersecurity in edge/fog environments, AI-driven educational tools, and interdisciplinary projects like MeloDI for crop quality assessment. Collaborations include EPFL (Switzerland), NTU (Singapore), and Stanford University. Awards: None explicitly listed, though his extensive R&D leadership and numerous funded projects reflect significant recognition. Grants & Projects: ROBUST-6G (EU Horizon): Secure 6G platform development EU-GUARDIAN (EU Defense): Cyber defense automation REACTMAN5.0 (Spain): Cybersecurity in Industry 5.0 CDL-TALENTUM (INCIBE): Cybersecurity professional development Labs & Teams: Leads the Mobile Computing and Computer Vision Research Group, collaborates with Bleecker and Scorpion Cybertechnologies, and oversees the University Chair in Smart Industry.

Mark Mynettمشاهده پروفایل

مدرس ارشد

• Metal Music Production
• Heavy Metal
• Music Technology
• +۳ مورد دیگر

Mark Mynett is a Senior Lecturer in Music Technology and Production at the University of Huddersfield, affiliated with the School of Computing and Engineering and the Department of Media, Humanities and the Arts. He holds positions in the Centre for Audio and Psychoacoustic Engineering and the Centre for Research in Music and its Technologies. With a PhD in engineering and a BSc in Popular Music Production, his expertise spans music production, heavy metal genres, and audio engineering. His research focuses on 'heaviness' in metal music production, explored through projects like the 2020-2023 'Heaviness in Metal Music Production' initiative. He is a Fellow of the Higher Education Academy and author of Metal Music Manual (2016), Routledge. Mark has a dual career as an academic and professional musician/producer, with six commercial album releases and collaborations with renowned producers like Jens Bogren. His work includes producing, engineering, and mixing for indie, rock, and metal genres, alongside contributions to publications like Sound on Sound and Computer Music . He actively supervises PhD students and presents at international conferences, including the 2025 Audio Engineering Society Convention. His research outputs emphasize genre-specific production techniques, historical analysis of metal music, and listener perception of sonic elements. Key projects include netnographic studies of online metal communities and investigations into mixing conventions. His work bridges artistic practice with academic rigor, addressing topics like dynamic range management, frequency balancing, and the cultural evolution of metal production. Collaborations span academic and industry contexts, reflecting his commitment to advancing both music education and professional production standards.

Emanuele Principiمشاهده پروفایل

دانشیار

• Electrical Engineering
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Emanuele Principi serves as an Associate Professor in the Department of Information Engineering at the College of Engineering, Università Politecnica delle Marche (UNIVPM). His academic appointment falls under the scientific sector IIET-01/A - Elettrotecnica (Electrical Engineering). Based at Via Brecce Bianche 12 in Ancona, Italy, Professor Principi maintains regular office hours on Fridays from 15:00-18:00 via Microsoft Teams, and can be contacted at e.principi@univpm.it or by phone at 0712204626. Professor Principi's research spans electrical engineering with a strong focus on signal processing, machine learning applications, and energy systems. His work particularly emphasizes non-intrusive load monitoring (NILM), acoustic signal analysis, and renewable energy integration. He has developed innovative approaches combining deep learning with electrical engineering principles to address challenges in energy disaggregation, sound event classification, and smart grid technologies. His research bridges theoretical advancements with practical applications in sustainable energy systems and intelligent monitoring solutions. Analysis of Professor Principi's publication trends reveals a consistent research trajectory with increasing focus on machine learning applications for energy systems. His recent work (2023-2025) demonstrates growing sophistication in knowledge distillation techniques for non-intrusive load monitoring, with increasing attention to interpretability and edge computing implementations. He has also expanded his research into photovoltaic-thermal systems with thermoelectric generators, showing diversification into renewable energy conversion while maintaining his core expertise in electrical signal processing. Professor Principi has made significant contributions to the fields of non-intrusive load monitoring and acoustic signal processing through his extensive publication record. His work on knowledge distillation frameworks, weakly supervised learning approaches, and real-time signal processing systems has advanced methodologies in energy monitoring and sound event classification. Professor Principi actively advises students and researchers in electrical engineering, signal processing, and machine learning applications. His research projects likely involve collaborations with industry partners in energy technology and smart grid development, though specific grant details are not provided in the available information. He appears to lead or participate in research teams focused on developing practical implementations of his theoretical work, particularly in edge computing applications for energy monitoring. Professor Principi's laboratory or research group likely focuses on signal processing for energy systems and acoustic analysis, with equipment supporting electrical measurements, audio signal acquisition, and machine learning model development. His work suggests integration of hardware and software systems for real-world implementation of monitoring technologies.

Tim Fingscheidtمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Speech Processing
• +۶ مورد دیگر

Prof. Tim Fingscheidt is a Professor at the Technical University of Braunschweig, heading the Signal Processing and Machine Learning Group within the Institute for Communications Technology. His career spans academia and industry, including roles at AT&T Labs (USA), Siemens, and leadership in research teams. He specializes in speech processing, audio technologies, and communication systems quality assessment. Education : 1987-1993: Dipl.-Ing. in Electrical Engineering (RWTH Aachen University, with distinction) 1998: PhD (RWTH Aachen University, with distinction) Research Interests : His work focuses on signal processing fundamentals, machine learning applications in audio/speech systems, error concealment in mobile transmissions, and automotive hands-free system standards. He actively contributes to ITU-T recommendations and chairs ITG committees on speech communication and audiotechnology. Awards : Received prestigious recognition including the IEEE Fellow (2025), ITG Fellow (2023), and multiple ITG/VDE prizes. Professional Activities : Leadership roles in EURASIP, VDE ITG, and IEEE. Standardization expertise in automotive communication systems (ITU-T P.1100/P.1110). Labs & Teams : Leads the Signal Processing and Machine Learning Group, collaborating on cutting-edge projects in audio/speech technologies and machine learning.

Steve Whitfordمشاهده پروفایل

مدرس ارشد

• Sound recording
• Documentary filmmaking
• Immersive audio
• +۵ مورد دیگر

Steve Whitford is a Senior Lecturer at the University of Portsmouth within the Faculty of Creative and Cultural Industries, School of Film, Media and Creative Technologies. With a career spanning over three decades in film and television sound recording, he specializes in documentary sound and has worked on numerous high-profile productions for international broadcasters and independent TV companies. His expertise in location sound recording has earned him industry recognition including Royal Television Society Awards. Whitford holds a BA (Hons) in Film & TV from West Surrey College of Art & Design (1980-83). His academic journey followed an extensive professional career in the film industry. Whitford's research focuses on immersive location sound recording methodologies, particularly examining how ambisonic-centered techniques can reinvigorate the observational documentary genre. His work explores the "truth of sound" concept within realist filmmaking, investigating how advanced audio recording practices impact documentary authenticity and audience engagement. He is particularly interested in 360-degree audio field recording techniques and their potential for new storytelling approaches in documentary production. His recent publications demonstrate a consistent focus on the intersection of audio technology and documentary filmmaking. Whitford's research shows an evolution from traditional sound recording practices toward innovative immersive audio techniques, with particular emphasis on ambisonic recording systems. His work bridges practical film production with academic research, offering valuable insights for both industry professionals and media scholars. Royal Television Society Award: Sound - Entertainment Non-Drama Production for "Fighting the War" (2004) Royal Television Society: Southern Centre Award for Best Investigative Documentary 2003 for "Afghan Warrior" Whitford has served as External Examiner for Ravensbourne (2015-2019) and Bangor University (2018-2022). His research projects include "Countering Narratives of Hate and Extremism - The Role of Creative Practices" (2019) and "The Sound of Worthing Pier: an immersive experience of the past" (2023), for which he secured £3,000 seed funding. He is also a Co-Investigator on projects exploring the role of creative practices in addressing social issues. Whitford is a member of SPRInG (SCREEN PRACTICE RESEARCH and INNOVATION GROUP) at the University of Portsmouth and runs his own production company, Island City Films Ltd., which provides film and screen production services. His professional affiliations include membership in the Institute of Professional Sound (MIPS) and the Association of Motion Picture Sound (AMPS).