Auditory System Bioengineering Professors and Supervisors | ApplySharif

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Monica BettaView profile

Assistant Professor

IMT School for Advanced Studies LuccaItaly

Monica Betta is an Assistant Professor at IMT School, affiliated with the MOMILAB research group. Her expertise lies in computational methods for biomedical signal analysis, focusing on EEG-based sleep research and mathematical modeling of physiological systems. She holds a PhD in Automation, Robotics, and Bioengineering from the University of Pisa, Italy, and completed a visiting research stint at the Centre d'Investigation et de Recherche sur le Sommeil in Switzerland. Education: Bachelor's in Biomedical Engineering (2006–2009), University of Pisa Master's in Biomedical Engineering (2009–2012), University of Pisa PhD in Automation, Robotics, and Bioengineering (2012–2016), University of Pisa Visiting Researcher (2015–2016), Centre Hospialier Universitaire Vaudois, Switzerland Research Focus: Dr. Betta’s work integrates computational tools for EEG analysis in sleep (e.g., REM/NREM detection, ocular artifact removal) with epidemiological modeling for disease control. She explores how sensory experiences influence brain activity during sleep and wakefulness, leveraging mathematical models to optimize public health interventions like vaccination strategies. Recent Trends in Publications: Her recent studies emphasize interdisciplinary approaches, including EEG-fMRI investigations of slow-wave subtypes and thalamic activity, biomarkers for cardiovascular risk in sleep apnea, and telemedicine applications for cardiac rehabilitation. She also addresses methodological advancements in EEG signal processing and functional connectivity metrics for vigilance assessment. Awards & Grants: No specific awards mentioned. Active in collaborative research projects involving sleep epidemiology and biomedical engineering. Labs & Teams: Principal investigator at MOMILAB, leading projects on sleep neurophysiology and computational health analytics. Collaborates internationally with institutions like the University of Lausanne and the University of Pisa.

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George MatsopoulosView profile

Professor

University of West AtticaGreece

George Matsopoulos is a tenured Professor at the Division of Information Transmission Systems and Material Technology, part of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). His research focuses on medical image processing, AI-driven healthcare systems, and telemedicine applications. He holds a diploma in Electrical Engineering from NTUA (1988), an M.Sc. (1989), and a Ph.D. (1993) from the Bioengineering Unit at the University of Strathclyde, U.K. His research portfolio includes over 300 peer-reviewed publications in journals, conferences, and books. Key areas include nonlinear image processing for medical diagnostics, 2D/3D medical image registration, computer vision applications in healthcare, and decision support systems for clinical workflows. He has pioneered frameworks for integrating AI into telemedicine, radiomics analysis for cancer detection, and robotic-assisted rehabilitation systems. Recent work emphasizes healthcare robotics ontologies (HERON), deep learning for MRI/PET analysis, and predictive models for neurological conditions like bipolar disorder. He leads interdisciplinary projects such as TeleRehaB DSS (balance rehabilitation) and the Retention Project (heart failure prediction). His contributions span clinical decision support, medical device design, and AI ethics in healthcare systems. Notable achievements include the development of automated segmentation algorithms for organs at risk in radiotherapy, machine learning models for early-stage disease prediction, and AR/VR tools for stroke rehabilitation assessment. His work bridges electrical engineering, computer science, and biomedical applications, addressing unmet clinical needs through technology innovation.

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Anne E. LuebkeView profile

Associate Professor

University of RochesterUnited States

Anne E. Luebke, Ph.D., is an Associate Professor in the Departments of Biomedical Engineering and Neuroscience at the University of Rochester School of Medicine and Dentistry (SMD). Her research focuses on auditory and vestibular efferent systems, exploring molecular mechanisms underlying hearing and hearing loss. She holds a PhD in Bioengineering from Johns Hopkins University and completed postdoctoral training in Molecular Neuroscience at the University of Miami School of Medicine. Her laboratory investigates cochlear outer hair cells' roles in sound processing, with a focus on neurotransmitter receptors (e.g., α9 nicotinic acetylcholine receptors and CGRP receptors) and their protective roles against noise-induced hearing loss. She pioneered viral-mediated gene transfer techniques to study these systems, using adenoviral vectors to modulate receptor expression in vivo without cochlear damage. Key research areas include: cochlear efferent protection, CGRP signaling in vestibular and auditory systems, and the impact of musical training on auditory processing. Her work spans from molecular biology to systems neuroscience, with translational goals in developing therapies for hearing loss and vestibular disorders. Luebke has received continuous NIH funding since 1996 and holds affiliations with the Del Monte Institute for Neuroscience, Biomedical Engineering Ph.D. Program, and Neurobiology & Anatomy Ph.D. Program. Notable awards include the Dean's Award for Young Laboratory Research Scientist (2001) and NIH postdoctoral fellowship (1991–1993). Her lab's current projects include studying RAMP1 overexpression in migraine models, age-related vestibular deficits, and the efficacy of 'gepant' antagonists. Collaborators span institutions like the University of Miami and Johns Hopkins, with publications in Journal of Neuroscience , eNeuro , and Frontiers in Neuroscience .

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Linda ZhuView profile

Associate Professor

University of Michigan-FlintUnited States

Linda Zhu is an Associate Professor in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. Her interdisciplinary research bridges mechanical, biomedical, and neural engineering, with a strong focus on signal processing and sensor technologies for medical diagnostics. Research Interests: Dr. Zhu’s work centers on Noise, Vibration, and Harshness (NVH), bioengineering, and neurological disease diagnosis. She develops innovative technologies for Parkinson’s disease monitoring, tinnitus detection, and structural health assessment. Her expertise spans neural computation, medical device development, and real-time sensor systems. Publication Trends: Her recent publications (2017–2025) reflect a strong trajectory in applying machine learning and advanced signal processing to biomedical and mechanical challenges, particularly in Parkinson’s disease, auditory neuroscience, and smart materials. There is a clear interdisciplinary trend integrating engineering principles with clinical applications. Scientific Awards: CIT START fund (2023) 2022 IEEE Transactions Instrumentation and Measurement Outstanding Reviewer Advising and Grants: Dr. Zhu actively mentors students and collaborates on research projects. She is a Co-Investigator on multiple funded grants, including a $20,000 Michigan Economic Development Corporation project on real-time road surface monitoring and a $429,000 NIH-funded study on mobile self-tracking for Parkinson’s patients. Her advising includes graduate and undergraduate researchers in engineering and computer science. Labs and Teams: While not explicitly named, Dr. Zhu leads a research group focused on signal processing and sensor integration, collaborating with teams in otolaryngology, neurology, and mechanical systems. Her work involves multimodal sensory integration and neural signal analysis, indicating a well-established lab environment in biomedical and mechanical diagnostics.

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Michael YartsevView profile

Associate Professor

University of California, BerkeleyUnited States

Michael Yartsev is an Associate Professor in Bioengineering, Helen Wills Neuroscience Institute, and Berkeley Nanosciences and Nanoengineering Institute at the University of California, Berkeley. His research focuses on understanding the neural mechanisms underlying complex spatial navigation, acoustic communication, and social behaviors using bats as model organisms. Key areas include developing wireless neural recording technologies for freely flying bats and studying vocal learning mechanisms through optogenetic tools. His lab's FAB (Fully Automated Bat) flight room enables human-free navigation studies. Current projects explore hippocampal coding of social interactions, spatial navigation in 3D environments, and the evolutionary basis of vocal learning. Research Interests: Neural basis of vocal learning and imitation 3D spatial navigation in flying mammals Social coordination and collective behavior Neural ensemble activity during complex behaviors Development of neurotechnology for freely moving animals Recent work highlights hippocampal representation of human experimenters, auditory feedback's role in vocal plasticity, and motor cortex evolution for flight/echolocation. Notable collaborations include the BRAIN Initiative's EAGER grant for wireless neural recording systems. Advising & Grants: Active grant support from NIH BRAIN Initiative (BRAIN EAGER: Going All Wireless, 2015). Mentors graduate students in neuroscience and bioengineering programs. Lab members work on interdisciplinary projects combining engineering, neuroscience, and computational modeling. Lab Infrastructure: The FAB flight room enables long-term studies of navigation without human intervention. Custom neural recording systems developed include wireless electrode arrays and optogenetic control modules for behaving bats.

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Gabriel Baud-BovyView profile

Assistant Professor

Vita-Salute San Raffaele UniversityItaly

Gabriel Baud-Bovy is an Assistant Professor at the Faculty of Psychology , Vita Salute San Raffaele University, Milan, Italy. His career spans interdisciplinary research at the intersection of Neuropsychology, Cognitive Neuroscience, Robotics , and Haptics . He leads the Dynamic Touch and Interaction Lab at the Italian Institute of Technology (IIT) and collaborates with the IIT since 2019. PhD : Psychology & Educational Science, University of Geneva (1999) Master : Electrical & Computer Engineering, Portland State University (1992) License : Sciences Informatiques, University of Geneva (1990) His research focuses on sensorimotor integration , haptic perception , and neuroprosthetic systems , with applications in rehabilitation technology , human-robot interaction , and virtual environments . Recent work explores visuo-tactile integration , motor timing , and haptic feedback algorithms . Notable awards include the Abilitazione Scientifica Nazionale (2016, Bioengineering; 2015, Psychology) and innovation grants like the SMARTcup 2015 and TechCare BootCamp 2016 . He serves as Associate Editor for IEEE Transactions on Haptics and World & Euro Haptics conferences , with extensive peer-review experience across neuroscience and robotics journals.

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Albert S EdgeView profile

Professor

Harvard UniversityUnited States

Albert S. Edge is the Eaton-Peabody Professor of Otolaryngology Head and Neck Surgery at Harvard Medical School, with primary affiliation at the Massachusetts Eye and Ear Infirmary (MEEI) in Boston, MA. His research focuses on auditory neuroscience and regenerative medicine , particularly exploring molecular mechanisms of hair cell regeneration and auditory neuron differentiation . Key areas include Wnt/Notch signaling pathways Lgr5 stem cell activation Epigenetic regulation of gene expression CRISPR/siRNA-based gene editing Recent publications highlight cochlear organoid development transcriptional programs in cell fate pharmacological approaches to hearing recovery cross-species regeneration comparisons His lab at the Eaton-Peabody Laboratory investigates epithelial cell dynamics in the inner ear, aiming to rebuild damaged sensory circuits through stem cell therapies and molecular interventions.

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Claus-Peter RichterView profile

Professor

Northwestern UniversityUnited States

Claus-Peter Richter is a Professor of Otolaryngology - Head and Neck Surgery and Biomedical Engineering at the University of Chicago's Pritzker School of Medicine. His research focuses on developing advanced cochlear implants using optical stimulation, cochlear micromechanics, and novel imaging techniques. He has pioneered laser-based approaches for auditory nerve stimulation and tissue visualization without invasive cochlear dissection. His work is funded by NIH, NSF, and the E.R. Capita Foundation. Key research interests include cochlear implant electrode design, laser surgery techniques for minimal tissue damage, and understanding cochlear mechanics in health and disease. Richter collaborates across disciplines, integrating bioengineering, physics, and clinical practice to advance hearing restoration technologies. His funding sources include grants from the National Institutes of Health (NIH) for optical neuron stimulation studies and National Science Foundation (NSF) for cochlear micromechanics research. Recent projects explore applications of X-ray phase-contrast imaging and statins for protecting against noise-induced hearing loss. Richter has authored over 100 peer-reviewed articles and holds patents on cochlear implant stimulation methods and optical diagnostic tools. His work bridges basic science and clinical innovation, with a focus on translational research to improve hearing outcomes for sensorineural hearing loss patients.

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Sam SoberView profile

Associate Professor

Emory UniversityUnited States

Sam Sober is an Associate Professor at Emory University and Director of the Center for Advanced Motor Bioengineering and Research, as well as the Collaboration on Motor Planning, Execution, and Resilience. He leads the Sober Lab, which investigates how the nervous system controls muscle activity to produce skilled movements in songbirds. His research combines electrophysiological recordings, behavioral experiments, and computational modeling to study sensorimotor learning and neural plasticity. Education: B.A., Wesleyan University (1998); Ph.D., University of California, San Francisco (2005). Research focuses on neural-muscular interactions, with recent work exploring motor coding in songbirds, inertial load effects on motor cortex, and advanced electrode technologies for muscle recording. Lab achievements include César Vargas’s 2025 Helen Hays Whitney Fellowship and Abi Grassler and Ethan Corey advancing to PhD candidacy in 2025. The lab develops tools like flexible EMG arrays and optogenetic systems to study motor control mechanics. Key research themes include spiking codes for motor control, neuromodulatory mechanisms of plasticity, and Bayesian inference in sensorimotor learning. Scientific contributions span neurophysiology, biomedical engineering, and animal behavior. Ongoing work includes decoding neural activity patterns and translating findings to improve understanding of motor disorders and neural rehabilitation strategies.

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Vladimir WojcikView profile

Associate Professor

Brock UniversityCanada

Dr. Vladimir Wojcik was an Associate Professor in the Department of Computer Science at Brock University. He held an MSc from Warsaw University and specialized in computer vision, parallel computing, simulation, visual machine learning, and artificial intelligence. His interdisciplinary work included collaborations on vertebrate vision systems and biologically inspired parallel computing architectures. He taught courses including Software Engineering, Parallel Computing, and Discrete Event Simulation, emphasizing challenging projects to build student capability. Administrative roles included coordinating the CAST Programme and contributing to Brock's integration into the SHARCnet supercomputing consortium.

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Robert FrisinaView profile

Professor

University of South FloridaUnited States

Robert Frisina is a Distinguished University Professor and Department Chair of Medical Engineering at the University of South Florida (USF), affiliated with the College of Engineering and Morsani College of Medicine. He holds leadership roles as Director of the Global Center for Hearing & Speech Research (GCHSR) and the USF Biomedical Engineering Program. His education includes a Ph.D. in Bioengineering/Neuroscience from Syracuse University and postdoctoral training at the University of Rochester. Research Focus: Frisina’s work spans neuroengineering, biomedical engineering, and audiology, with emphasis on age-related hearing loss (ARHL), ototoxicity from cancer therapies, and drug delivery systems. Key areas include hormonal interventions (e.g., aldosterone’s role in ARHL prevention), genetic factors in cisplatin-induced ototoxicity, and novel cochlear drug delivery via micropumps. His NIH-funded Program Project Grant since 1991 has generated over 150 publications on auditory neural mechanisms. Grants & Awards: He leads NIH grants on drug delivery (R01 NCI) and hearing loss (NIDCD R21). Honors include AAAS and BMES Fellowships, National Academy of Inventors Senior Membership, and the USF Distinguished Professorship (awarded to top 0.15% faculty). He holds patents on cochlear drug delivery systems and plasmonic neural stimulation. Team & Mentoring: His lab includes postdocs and students researching hormone therapy, genetic biomarkers, and nanotechnology. Notable trainees include Parveen Bazard (plasmonic stimulation) and Nicole Febles (chemotherapy ototoxicity prevention). The GCHSR collaborates globally to translate findings into clinical treatments, such as FDA Phase 2 trials for ARHL drugs. Publications: Over 300 peer-reviewed articles, including high-impact studies in Nature Scientific Reports , Journal of Neuroscience , and Cancer Medicine . Recent work addresses cisplatin’s auditory impacts and aldosterone’s protective effects in aging.

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Yan GaiView profile

Associate Professor

Saint Louis UniversityUnited States

Yan Gai, Ph.D., is an Associate Professor of Biomedical Engineering at Saint Louis University (SLU), affiliated with the School of Science and Engineering. She leads the Neuroengineering Lab, focusing on advancing assistive technologies for paralyzed and hearing-impaired patients. Her work includes brain-controlled wheelchairs, smart hearing aids, and cochlear implants. Dr. Gai holds a Ph.D. in Bioengineering from Syracuse University, with postdoctoral training at NYU and UW-Madison. Education: Ph.D. in Bioengineering, Syracuse University M.S. in Bioengineering, Syracuse University M.E. in Electrical Engineering, South China University of Technology B.S. in Electrical Engineering, South China University of Technology Research Interests: Dr. Gai’s lab integrates behavioral, electrophysiological, and computational methods to study auditory pathways in speech perception and sound localization. Current projects emphasize neuroengineering solutions for sensory deficits, including cochlear implant simulations and brain-computer interfaces. Her work bridges basic neuroscience with clinical applications. Key Achievements: Recipient of SLU’s President Research Fund (2017) for brain-controlled wheelchair technology Published over 20 peer-reviewed articles in journals like Journal of Neurophysiology and PLoS Computational Biology Developed noise-vocoding techniques for cochlear implant research Labs/Teams: Neuroengineering Laboratory (http://gailab.net/)

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Seth HaysView profile

Associate Professor

University of Texas at DallasUnited States

Dr. Seth Hays is an Associate 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 neuroplasticity mechanisms and translational therapies for neurological disorders. He holds a B.S. in Biomedical Engineering from UT Austin (2007) and a Ph.D. in Neuroscience from UT Southwestern (2012). Research interests emphasize vagus nerve stimulation (VNS) to enhance neuroplasticity for treating stroke, spinal cord injury, and PTSD. Key projects include optimizing VNS parameters for rehabilitation efficacy, investigating molecular mechanisms underlying recovery, and developing closed-loop neuromodulation systems. Collaborative efforts extend to clinical translation of VNS therapies. Dr. Hays has authored over 50 peer-reviewed articles on VNS applications, neural plasticity, and neurorehabilitation. His work is supported by grants from the National Institutes of Health and the American Heart Association. He maintains an active laboratory focused on biomedical engineering solutions for neurological disease.

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Leo You LiView profile

Assistant Professor

University of Texas at DallasUnited States

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.

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Salvatore AndolinaView profile

Associate Professor

Polytechnic University of MilanItaly

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.

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