Find Academic Supervisors

Stefano SquartiniView profile

Professor

• Electrical Engineering
• Audio Signal Processing
• Neural Networks
• +2 more

Stefano Squartini is a Full Professor at the Polytechnic University of Marche, affiliated with the Department of Information Engineering. His research focuses on signal processing, audio engineering, and machine learning applications in embedded systems. Key interests include real-time audio generation, non-intrusive load monitoring, and biomedical signal analysis. His recent publications demonstrate a strong focus on AI-driven solutions for telecommunications, healthcare, and energy systems. Research spans generative models for audio restoration, deep learning for medical diagnostics, and optimization of renewable energy technologies. He maintains active collaboration in multi-disciplinary projects involving neural networks for industrial and clinical applications, with emphasis on low-latency implementations and edge computing.

Rajmil FischmanView profile

Professor

• Electroacoustic Composition
• Sonic Arts
• Music Technology
• +3 more

Professor Rajmil Fischman is a composer and researcher at Keele University's School of Humanities, where he founded the Digital Music Technology MA/MSc programs. His work integrates composition, sonic arts theory, and software development to create structured interactive musical experiences using gestures, spatialization, and real-time control systems. Research focuses on: Interactive immersive music systems Gesture-controlled composition Multi-channel spatial audio Algorithmic composition tools He develops open-source software including AL (algorithmic composition), MAES (gesture control), and Clouds (granular synthesis).

Cheng LiView profile

Professor

• Wireless Communications
• Underwater Acoustic Networks
• Wireless Sensor Networks
• +6 more

Cheng Li is a Full Professor and Department Head of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds adjunct professorships at Harbin Institute of Technology and Xi'an University of Post and Telecommunications. His expertise spans wireless communications, underwater networks, and sensor systems. He has held academic roles since 1999, including leadership in Nokia Telecommunications and Baosteel. Education: B.Eng. (Hons.) and M.Eng. from Harbin Institute of Technology, followed by a PhD at Memorial University. His research focuses on energy-efficient wireless networks, underwater localization, and cooperative communication protocols. Research highlights include innovations in underwater acoustic sensor networks, vehicular ad-hoc networks, and integrated satellite-terrestrial systems. He has received 8 notable awards, including the Best Paper Award at IEEE ICC’2010 and the David Dunsiger Award. His work bridges academic and industrial applications, with contributions to standards like NECEC and IEEE conferences. He advises on network security, IoT, and multi-agent systems, with over 30 peer-reviewed publications since 2001.

• Biomedical Engineering
• Digital Signal Processing
• Smart Homes
• +6 more

Rafik A. Goubran is a Professor at Carleton University's Department of Systems and Computer Engineering, and currently serves as Vice-President (Research and International). He previously held roles as Dean of the Faculty of Engineering and Design and Chair of the Department of Systems and Computer Engineering. His research focuses on digital signal processing applications in biomedical engineering and audio processing, with a strong emphasis on smart environments for seniors' independent living, patient monitoring, and sensor analytics. Dr. Goubran has co-supervised 24 PhD and 72 Master’s students, authored/co-authored 70 journal papers, 260 conference papers, and 12 patents. He is a Life Fellow of the IEEE and a Fellow of the Canadian Academy of Engineering. Education: Ph.D. (Carleton University), M.Sc. and B.Sc. in Electrical Engineering (Cairo University). Key roles include co-leader of the Technology Assisted Environment for the Third Age (TAFETA) project and founder of the Ottawa-Carleton Institute for Biomedical Engineering (OCIBME). Awards include the University Senate Medal for Academic Achievement (students' work) and multiple grants. His research spans smart home technologies, patient monitoring systems, and audio signal processing for healthcare. Publications highlight innovations like unobtrusive patient monitoring via pressure sensors, respiratory rate estimation from thermal video, and AI-driven health analytics. Collaborations with institutions like Bruyère Research Institute and industry partners (e.g., Mitel, Nortel) underpin his applied research. Ongoing projects include supportive smart home systems for dementia care and AI-driven driving behavior analysis for older adults.

David PriorView profile

Professor

• Sound and Place
• Cultural History of Sound Technology
• Electroacoustic and Electronic Music
• +6 more

David Prior is Pro Vice-Chancellor Research and Knowledge Exchange at Falmouth University, leading strategic RKE initiatives. He holds a PhD from the University of Birmingham (2000) and BA from Bangor University (1995), with residencies at Banff Centre, Paris UPIC, and TU Berlin. His practice spans sound art, electroacoustic music, and site-specific installations, emphasizing sound-place relationships and cultural histories of sonic objects. He has received awards including the PRS New Music Award and Prix Ars Electronica Honorable Mention. Supervised 15+ PhD students, managed Falmouth's successful REF 2021, and led projects funded by UKRI, Wellcome Trust, and Arts Council England. Collaborates with architect Frances Crow in liminal, exploring sound-space intersections through installations like Organ of Corti . Active in international grant reviewing and educational roles across 5+ countries. Research focuses on church bells, loudspeakers, and immersive audio technologies. Current projects include spatial audio for heritage sites and sonic mediation of contested spaces. Teaching roles include leading Research Supervisor Training programs. Notable works include Transient Parish (2015), Chroma (2013), and Black Water Brown Water (2008). Professional practice includes music mixing for BBC dramas and sound design for major museums like the Guinness Storehouse and Thomas Jefferson Museum.

Qiang LiuView profile

Adjunct Professor

• Virology
• Virus-host interactions
• Signal transduction
• +3 more

Qiang Liu is an Adjunct Professor in the Department of Veterinary Microbiology at the Western College of Veterinary Medicine, University of Saskatchewan. His academic credentials include a BSc, MSc from Nankai University (China), and a PhD from Justus Liebig University (Germany). His research focuses on molecular mechanisms of viral pathogenesis, particularly hepatitis viruses (HCV) and porcine circoviruses. Key areas include viral-host interactions, signal transduction pathways, and regulation of gene expression. His work explores how viruses modulate lipid metabolism, transcription factors, and immune responses. Notable studies involve HCV non-structural proteins' effects on fatty acid synthase and sterol regulatory element-binding proteins (SREBPs). He has contributed to vaccine development, including SARS-CoV-2 and PEDV candidates, and has investigated viral translation mechanisms using innovative transfection systems. Dr. Liu's articles span virology, immunology, and emerging technologies like machine learning for predicting T-cell epitope interactions. He also explores welding process optimization through sensor integration and AI-driven defect prediction, demonstrating interdisciplinary research interests. Awards: No specific prizes mentioned in the provided texts. His research is supported by grants focused on viral pathogenesis and vaccine development. Advising: No formal advisee名单 listed. His lab collaborations focus on interdisciplinary projects involving virology and bioengineering. Grants include studies on hepatitis C, coronaviruses, and SARS-CoV-2 vaccine platforms.

• Electronic Drums
• Interface Design
• Pad Design
• +2 more

Alan Kennedy is an Assistant Professor in the School of Mechanical & Manufacturing Engineering at Dublin City University. His research centers on electronic percussion systems, including pad design, electronic drum module development, signal processing algorithms, and human-computer interface optimization. He investigates sensor technologies for responsive musical interfaces and software architectures for real-time sound synthesis. His publications focus on computational methods for engineering problems, particularly convection-diffusion modeling using electrical analogues, which bridge mechanical engineering and computational mathematics.

Leo You LiView profile

Assistant Professor

• Medical Ultrasound Imaging
• Artificial Intelligence in Healthcare
• Biomedical Engineering
• +5 more

Dr. Leo You Li is an Assistant Professor in the Department of Bioengineering at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on integrating medical ultrasound imaging with artificial intelligence to advance translational research, particularly in placental hemodynamic imaging, neonatal brain imaging, and quantitative tissue mechanics analysis. Dr. Li holds a BEng in Electronics and Information Engineering from Huazhong University of Science and Technology, and M.S. and Ph.D. degrees in Biomedical Engineering from Duke University, followed by postdoctoral training at Stanford University under Dr. Jeremy Dahl. Research Interests : Medical Ultrasound Imaging, AI-Driven Medical Diagnostics, Biomedical Engineering, Placental Hemodynamics, Neonatal Brain Imaging, and Tissue Mechanics. His work bridges clinical challenges with technological innovation to improve diagnostic accuracy and treatment efficacy. Dr. Li has been recognized with prestigious awards including the NIH K99/R00 Award and the 2021 New Investigator Award from the American Institute of Ultrasound in Medicine. His publications span speech enhancement algorithms, cochlear implant advancements, and signal processing methodologies, reflecting his interdisciplinary contributions to both clinical and engineering domains. He currently leads research initiatives exploring novel ultrasound imaging techniques and collaborates on projects addressing unmet clinical needs in maternal and neonatal healthcare. Open faculty and student positions are available within his lab to advance these impactful areas.

Mark EsrickView profile

Research Professor

• Physics Education
• Medical Physics
• Image Potential Modeling
• +1 more

Mark Esrick is a Research Professor in Georgetown University's Physics Department, holding a B.S. (1969) and Ph.D. (1981) in Physics from Georgetown. His interdisciplinary research spans physics education, medical applications of physics, and theoretical modeling. Research specialties include deriving image potentials for charged ions near surfaces, electric impedance monitoring during hyperthermia cancer therapy, lung temperature modeling during transplantation, and axon guidance in chemical gradients. Collaborative projects involve Georgetown Medical School and funding from NIH, NSF, Sloan Foundation, and Whitaker Foundation. He coordinates Georgetown's Post-Baccalaureate Pre-Medical Certificate Program and teaches physics courses for non-science majors, including Science of Sound and Music (PHYS-013) and Basic Physics (PHYS-007).

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +5 more

Tala Talaei Khoei serves as an Assistant Teaching Professor at Northeastern University, conducting interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and healthcare innovation. Her academic profile reflects active engagement in developing practical AI solutions for critical real-world challenges. Her research program spans three primary domains: (1) Healthcare AI applications including pediatric pneumonia/asthma detection through respiratory sound analysis using Google's HeAR model; (2) Cybersecurity systems focused on ransomware detection, GPS spoofing countermeasures for UAVs, and IoT security frameworks; and (3) Generative AI advancements in large language models, emotional AI, and sustainable computing practices. This tripartite focus demonstrates her commitment to translating theoretical AI research into tangible societal benefits. Analysis of her 15 recent 2025 publications reveals accelerating research velocity with particular emphasis on data-efficient AI techniques for small datasets, multimodal security threat detection, and ethical implementation of generative models. Her work consistently bridges theoretical machine learning innovations with domain-specific applications, showing growing influence in both healthcare informatics and cybersecurity communities through high-impact survey papers and novel framework development.

Salvatore AndolinaView profile

Associate Professor

• Human-Computer Interaction
• Artificial Intelligence
• Information Retrieval
• +6 more

Salvatore Andolina is an Associate Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy. His research focuses on Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Retrieval, with a particular emphasis on designing human-centered AI systems for collaborative, social, and ubiquitous settings. He has held academic affiliations at the University of Palermo, Helsinki Institute for Information Technology HIIT, University of Helsinki, Aalto University, and served as a visiting scholar at Carnegie Mellon University's Human-Computer Interaction Institute. Key research areas include: Human-Centered AI Exploratory Search and Information Systems Crowdsourcing and Collaborative Creativity Augmented Reality and Wearable Technologies Entity-Centric Interaction Design Notable achievements include co-chair roles for the C&C conference (2025-2026), winning the Google Award for Inclusion Research (2023), and contributions to projects like the "Conversational Patterns for Inclusive Prompt Engineering" as a co-PI. He is an ACM Senior Member and has published extensively in top-tier venues including CHI, DIS, SIGIR, and TOIS. His work spans theoretical frameworks and applied systems, with recent focus on balancing sustainability in AI systems and advancing inclusive conversational interfaces.

Alex BronsteinView profile

Professor

• Computer Vision
• Machine Learning
• Signal Processing
• +5 more

Prof. Alex Bronstein is a Professor at the Henry and Marilyn Taub Department of Computer Science, Technion – Israel Institute of Technology, where he holds the Dan Broida Academic Chair and heads the VISTA Lab and the Center for Intelligent Systems. He concurrently serves as a Visiting Professor at the Austrian Institute of Science and Technology. His research spans computer vision, machine learning, computational geometry, signal processing, and bioinformatics, with a focus on geometric data analysis and AI applications in science. He has held significant industry roles including Principal Engineer at Intel Corporation, co-founding startups such as Invision (acquired by Intel), VideoCites, and Sibylla. His work bridges academia and industry, emphasizing practical applications of theoretical insights. Research interests include foundational AI models for molecular biology, robust machine learning systems, and interdisciplinary applications in healthcare and robotics. Notable projects include protein structure prediction using AlphaFold integration, adversarial robustness frameworks, and medical imaging innovations like T1-PILOT for MRI acceleration. He actively collaborates with global institutions, maintaining labs in Haifa, Vienna, and Sardinia. Recent publications highlight advancements in quantum computing simulations, wearable health monitoring systems, and AI-driven biomedical solutions. While no explicit awards are listed, his leadership roles and industry impact underscore significant contributions to computational science. He mentors graduate students in his VISTA Lab, focusing on cutting-edge projects in AI, computer vision, and computational chemistry.

John KestonView profile

Professor

• Electroacoustic Music
• Generative Art
• Interactive Installations
• +3 more

John Keston is Professor of Digital Media Arts at the University of St Thomas and Senior Clinical Faculty in Emerging Media. His transdisciplinary practice integrates music technology, software development, and improvisation to create interactive performances and installations. His research explores algorithmic composition through custom instruments like the Audiovisual Grain Machine (AVGM) and PreenFM2 Patch Degrader. Recent projects include generative graphic scores that enable collaborative interpretation between humans and algorithmic systems. Keston's work has been featured at international venues including SEAMUS, NIME, Moogfest, and Walker Art Center, examining how technology mediates creative expression.

Thomas MarrinanView profile

Assistant Professor

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +3 more

Thomas Marrinan is an Assistant Professor of Computer & Information Science at the University of St. Thomas, College of Arts and Sciences. His expertise spans computer graphics, visualization, human-computer interaction, and high-performance computing. He specializes in developing interactive tools for large-scale data analysis, including multi-platform visualization applications like VisAnywhere and immersive virtual reality experiences. His research focuses on bridging gaps between simulation analysis and user interaction through novel interfaces and algorithms. He has pioneered work in 3D Gaussian splatting, real-time image compression, and collaborative environments using 360 panoramas. Marrinan teaches courses such as Intro to Programming & Problem Solving and Web Development, emphasizing practical application of computational concepts. In 2024, his team won the IEEE Scientific Visualization Contest for VisAnywhere, a tool enabling cross-platform scientific visualization. His work spans over two decades, with contributions to scalable resolution displays (SAGE2), GPU-based rendering optimizations, and AI-driven audio generation for video games. He holds a strong commitment to data-intensive collaboration and immersive technologies. Recent projects include developing omnidirectional stereo imaging techniques for VR exploration of large datasets and leveraging AI to enhance user-generated content in interactive media. His research addresses challenges in distributed rendering, real-time data transmission, and improving accessibility to complex scientific datasets.

• Music Composition
• Experimental Music
• Multimedia Performance
• +3 more

Lainie Fefferman is an Assistant Professor of Music & Technology at Stevens Institute of Technology and Core Faculty in the MFA in Music Composition program at Vermont College of Fine Arts (VCFA). She holds a PhD from Princeton University and is a performing member of the Princeton Laptop Ensemble (Sideband). Her work spans experimental composition, multimedia opera, and community-driven music initiatives. Education: PhD, Music Composition – Princeton University (2015) MA, Music Composition – Princeton University (2009) BA, Music Composition & Near Eastern Languages – Yale University (2004) Research & Practice: Fefferman explores idiosyncratic music-making, feminist midrash (e.g., White Fire ), and interdisciplinary collaborations. She co-founded Exapno (a Brooklyn music space), the New Music Gathering, and leads the New Music Bake Sale. Recent Trends in Works: Her compositions often blend live electronics, vocal processing, and narrative storytelling. Recent projects like White Fire reimagine biblical texts through a feminist lens, while Here I Am merges multimedia elements with ensemble performance. Awards & Residencies: LABA Fellow (2015–2016), HARP Residency (2015–2016) Nokia Bell Labs EAT Residency (2018–2019) Jerome Foundation Residency (2013–2014) Teaching & Community: Advises students in VCFA’s MFA program and teaches courses at Stevens. Leads Sideband, a laptop ensemble performing globally. Her work in community-building includes organizing national conferences like the New Music Gathering. Labs/Teams: Co-founder of Exapno, Sideband, and the New Music Gathering; collaborates with ensembles like JACK Quartet and Sō Percussion.