جست‌وجوی استاد و پژوهشگر

Christopher Thomas Segeمشاهده پروفایل

استادیار

• Anxiety Disorders
• Neurophysiology
• Emotional Processing
• +۴ مورد دیگر

Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.

Kristin Bernardمشاهده پروفایل

دانشیار

• Child maltreatment
• Neurobiological consequences of early life adversity
• Parent-child relationships
• +۳ مورد دیگر

Kristin Bernard, Ph.D. (University of Delaware, 2013), is an Associate Professor of Clinical Psychology at Stony Brook University’s Department of Psychology. Her research focuses on the neurobiological consequences of early adversity, parent-child relationships, and the efficacy of early parenting interventions such as Attachment and Biobehavioral Catch-up (ABC). She collaborates with Power of Two, a NYC-based nonprofit, and leads the Developmental Stress and Prevention Lab. Current grants include studies on epigenomics, maternal attachment representation, and community-based ABC interventions. Dr. Bernard’s work bridges clinical and developmental psychology, emphasizing prevention science and translational research. Education: Ph.D. in Clinical Psychology, University of Delaware, 2013. Research Interests: Child maltreatment, neurobiological impacts of early adversity, parenting interventions, psychobiology of attachment, and intervention efficacy. Her lab investigates mechanisms linking caregiving quality to child outcomes, including cortisol regulation, brain development, and behavioral compliance. Lab & Partnerships: Directs the Developmental Stress and Prevention Lab, focusing on high-risk populations. Collaborations include Power of Two for ABC implementation and NYC agencies like the Administration for Children’s Services. Current projects explore neighborhood influences on parenting (Geography of Parenting Study) and neural correlates of parenting behavior (SNAP study). Grants & Funding: Principal Investigator on NIH-funded projects (R03 HD099372, R01 MH119310) and co-PI on Stony Brook’s seed grants. Projects examine accelerated aging biomarkers and intervention effectiveness in community settings. Publications: Over 50 peer-reviewed articles and a co-authored book on ABC interventions. High-impact journals include Psychoneuroendocrinology , Development and Psychopathology , and Child Development .

Takako Fujiokaمشاهده پروفایل

دانشیار

• Auditory Perception
• Neural Oscillations
• Auditory-Motor Coupling
• +۵ مورد دیگر

Takako Fujioka is an Associate Professor of Music at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA). Her research focuses on the neural mechanisms underlying auditory perception, auditory-motor coupling, and music-supported therapy for neurorehabilitation. She holds a Ph.D. in Physiology from the Graduate University for Advanced Studies, Japan, and M.Sc./B.Eng. degrees in Electrical Engineering from Waseda University. Her work combines neurophysiological techniques such as MEG and EEG to study brain plasticity in development, aging, and stroke recovery. Notable contributions include investigating how music influences motor and cognitive recovery in stroke patients, as well as exploring the neural basis of musical perception through rhythmic synchronization and pitch discrimination studies. Supported by awards from the Canadian Institutes of Health Research during her postdoctoral work at the Rotman Research Institute, her research bridges clinical neuroscience and music cognition. Dr. Fujioka’s expertise spans auditory neuroscience, neurorehabilitation, and technology-assisted music therapy. She has pioneered studies on tactile mapping for cochlear implant users and networked music performance systems, emphasizing cross-modal perception and human-technology interaction. Her findings contribute to both theoretical understanding of auditory processing and practical applications in medical and educational settings. Awards: Canadian Institutes of Health Research Awards (postdoctoral phase) Labs/Teams: CCRMA, Stanford Music Perception Laboratory, Rotman Research Institute collaborations Key Themes: Neuroplasticity, Music-Mediated Rehabilitation, Auditory-Motor Integration, Multisensory Processing Her recent work examines aging-related changes in binaural hearing and the role of beta/gamma oscillations in rhythmic processing. She advocates for translational research that connects neural mechanisms with real-world therapeutic interventions.

Matthias Mannمشاهده پروفایل

استاد

• Mass Spectrometry
• Proteomics
• Systems Biology
• +۶ مورد دیگر

Professor Matthias Mann is a world-leading scientist serving as Director of the Proteomics and Signal Transduction department at the Max Planck Institute of Biochemistry in Martinsried, Germany, and Director of the Proteomics department at the Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Denmark. With an h-index exceeding 277 and over 350,000 citations, he is recognized as the highest cited German researcher and one of the most influential scientists globally in proteomics. His educational background includes: Ph.D. in Chemical Engineering from Yale University (1988) Master's Degree in Physics from Georg August University Göttingen (1984) Bachelor's of Arts in Mathematics from Georg August University Göttingen (1982) Professor Mann's research focuses on advancing mass spectrometry-based proteomics to understand biological systems at the protein level. His work spans technological developments in mass spectrometry, bioinformatics and computational analysis, signal transduction and posttranslational modifications, and clinical proteomics applications for disease diagnosis and treatment. The Mann lab has pioneered groundbreaking methods like SILAC for quantitative proteomics and MaxQuant for proteome data analysis. Their vision is to translate proteomics knowledge into clinical practice for predictive, diagnostic, and preventive medicine, with recent work focusing on AI-guided platforms for analyzing proteomes from minimal tissue samples. Analysis of Professor Mann's recent publications reveals a strong trend toward clinical applications of proteomics, particularly in cancer research, metabolic diseases, and neurodegenerative disorders. His work increasingly integrates spatial proteomics, single-cell resolution techniques, and artificial intelligence approaches to uncover disease mechanisms and identify potential biomarkers, with a clear shift from basic technology development toward direct clinical applications and personalized medicine. Professor Mann has received numerous prestigious awards throughout his career: 2025: Elected member of the American National Academy of Sciences 2024: Dr. H.P. Heineken Award for Biochemistry and Biophysics 2023: Otto Warburg Medal 2019: Nominated member of the Bavarian Academy of Sciences 2013: Elected member of Leopoldina German National Academy of Sciences 2012: Körber European Science Award, Louis-Jeantet Foundation Prize for Medicine, Ernst Schering Prize, and Leibniz Prize Professor Mann leads a highly collaborative research team involved in multiple international networks including the Bill & Melinda Gates Foundation, Michael J. Fox Foundation for Parkinson's Research, CLINSPECT-M, and Munich Heart Alliance. His lab has mentored numerous successful researchers, with several former postdocs receiving prestigious ERC Starting Grants. The Mann group has developed innovative clinical proteomics pipelines for analyzing archived tissue specimens and body fluids, aiming to identify protein markers for early detection of diseases such as diabetes and cancer. The Mann lab operates across two major research centers with state-of-the-art mass spectrometry facilities. Their Clinical Knowledge Graph platform integrates multi-omics data with extensive metadata, creating an ecosystem for machine learning applications in proteomics. Current research focuses on developing highly sensitive methods that can profile thousands of proteins from minimal cell samples, enabling the identification of critical disease-related proteins and supporting the development of individualized therapies.

Peter F. Driessenمشاهده پروفایل

استاد

• Communication
• Signal Processing
• Control Systems
• +۶ مورد دیگر

Professor Peter F. Driessen is a faculty member in the Department of Electrical and Computer Engineering at the University of Victoria, with a cross-appointment in the School of Music. He holds a BSc and PhD from the University of Victoria and is a Professional Engineer (PEng). His research focuses on communication systems, signal processing, control, and interdisciplinary projects in computer music and wireless technologies. Key areas include audio/video signal processing, radio propagation, sound recording, and multimedia systems. He leads the University of Victoria Propagation Laboratory, which explores radio wave propagation and Amateur radio integration with engineering education. His work spans theoretical research and applied projects like ECOSat satellite systems, software-defined radio (SDR), and innovative musical instruments such as the Radio Drum. He supervises undergraduate and graduate projects in these domains through ELEC 499 courses. Notable contributions include the APEGBC Editorial Board Award for Best Paper (2002) and patents in wireless networking and signal processing. His teaching includes courses in signal analysis and electromagnetics, and he collaborates on interdisciplinary programs like the Music/Computer Science degree. Education: BSc in Electrical Engineering, University of Victoria PhD in Electrical Engineering, University of Victoria Research Interests: Audio and video signal processing for music and media Software-defined radio and Amateur radio technologies Satellite communication and ground station development Gesture-based interfaces and musical instrument design Error mitigation in streaming audio/video Optical and microwave-photonic systems Labs & Collaborations: Propagation Laboratory (radio wave research) UVic Experimental Radio Group (Amateur radio club) UVic Satellite Design Team (ECOSat projects) UVic Centre for Aerospace Research Grants & Awards: APEGBC Editorial Board Award (2002) Multiple US patents in wireless systems and signal processing

• Movement Disorders
• Cognitive Behavioral Neurology
• Parkinson's Disease
• +۷ مورد دیگر

Ana Vives-Rodriguez, MD is an Assistant Professor of Neurology at Yale School of Medicine. She specializes in movement disorders and cognitive-behavioral neurology, caring for patients with Parkinson's disease, tremor, tics, dystonia, Alzheimer's disease, Dementia with Lewy bodies, and frontotemporal dementias. Based at Yale Physicians Building in New Haven, Connecticut, she provides both in-person and telehealth services to adult patients, accepting new patients without requiring referrals. Dr. Vives-Rodriguez's educational background includes: BS and MD from University of Costa Rica (2009), graduating Magna Cum Laude Residency at University Costa Rica/Calderon Guardia Hospital (2014) Clinical Fellowship in Movement Disorders at Yale New Haven Hospital (2018) Advanced Fellowship in Cognitive Behavioral Neurology at Boston University/VA Medical Center (2022) Her primary research interests focus on the behavioral and cognitive aspects of movement disorders and the early diagnosis of neurodegenerative disorders . Dr. Vives-Rodriguez examines structural and functional brain changes in conditions like Parkinson's disease, Wilson's disease, and Alzheimer's disease and their relation to clinical manifestations. Her work bridges clinical practice with translational neuroscience to improve diagnostic approaches and patient outcomes in complex neurological conditions. Analysis of her publications from 2017-2021 reveals a strong focus on movement disorders, cognitive impairment, and neuroimaging. Her research spans clinical observations of movement phenomena like index finger pointing and writing tremor, structural and functional brain changes in Wilson's disease, and innovative approaches to medical education in movement disorders. A recurring theme is the intersection between movement disorders and cognitive function, highlighting her dual expertise in both specialties. Dr. Vives-Rodriguez serves as a Sub Investigator for the Cognitive Training in Parkinson's Disease clinical trial (HIC ID 2000033352), which is recruiting participants aged 40+ through 2027. While specific grant funding isn't detailed in the available information, her active research program suggests ongoing support for her work in neurodegenerative disorders. She is affiliated with Yale's Movement Disorders and Neurodegenerative Disorders divisions, working within the Department of Neurology at Yale School of Medicine. Her clinical work at Yale Physicians Building integrates the latest research findings into patient care while contributing to the academic mission through teaching and scholarly activities.

Henrike K. Blumenfeldمشاهده پروفایل

دانشیار

• Bilingualism
• Cognitive Psychology
• Language Processing
• +۴ مورد دیگر

Henrike K. Blumenfeld is an Associate Professor at San Diego State University (SDSU), affiliated with the School of Speech, Language and Hearing Sciences within the College of Health and Human Services. She serves as Director of the Bilingualism and Cognition Laboratory and holds joint faculty status in the SDSU/UCSD Joint Doctoral Program in Language and Communicative Disorders. Her primary research focuses on bilingualism, cognitive control, and language processing across the lifespan. Education: Ph.D., Communication Sciences and Disorders, Northwestern University (2001–2008) B.A., Linguistics, Bryn Mawr College (1997–2001) Research Interests: Bilingualism and cognitive aging Cross-linguistic effects in language comprehension Cognitive control mechanisms in bilingual speakers Neurobiological bases of bilingual language processing Assessment of multilingual populations Grants & Awards: She has secured funding from NIH/NIDCD, NSF, and SDSU grants totaling over $200,000. Notable awards include the 2022 CHHS YES Award for service, 2013 Undergraduate Professor of the Year, and multiple research travel grants. Labs/Teams: Directs the Bilingualism and Cognition Lab, collaborating with institutions like the Gary and Mary West Senior Wellness Center and Bangor University’s Centre for Research on Bilingualism.

Meng Liمشاهده پروفایل

دانشیار

• Bayesian Analysis
• Machine Learning
• Functional Data Analysis
• +۸ مورد دیگر

Meng Li is the Noah Harding Associate Professor of Statistics at Rice University's School of Engineering. He specializes in Bayesian analysis, machine learning, and statistical theory. His research bridges methodological development and applications in biomedical sciences, materials informatics, and neuroimaging. Li holds a Ph.D. from North Carolina State University and a B.S. from Sun Yat-sen University. He has been recognized with awards including the 2020 Rice Engineering Excellence Award and the Ralph E. Powe Junior Faculty Enhancement Award. Li's research focuses on probabilistic modeling of complex data such as images, functional data, and networks. His funded projects include AI frameworks for pancreatic cancer biomarkers and Bayesian spatiotemporal modeling of marine ecosystems. He collaborates with institutions like Houston Methodist and Baylor College of Medicine on medical applications. His teaching includes advanced courses like Bayesian Statistics and Advanced Bayesian Inference. He advises over 30 students, many of whom have pursued academic and industry roles. Li serves as an associate editor for Bayesian Analysis and the new ACM Transactions on Probabilistic Machine Learning.

Niclas Abrahamssonمشاهده پروفایل

استاد

• Second Language Acquisition (SLA)
• Bilingualism Research
• Phonetics and Phonology
• +۷ مورد دیگر

Niclas Abrahamsson is a Professor of Swedish as a Second Language at Stockholm University, where he also serves as the Director of the Centre for Research on Bilingualism . His research focuses on second language acquisition (SLA) , bilingualism , and phonological/phonetic development , particularly through the lens of age of acquisition and critical periods . He leads the MOB (Meta-research on Bilingualism) group, analyzing trends in bilingualism research and Swedish as a Second Language. PhD in Bilingualism (2001, Stockholm University) BA in Linguistics, Phonetics, and Psychology (1993) His research explores how age of onset and language aptitude influence nativelike attainment in L2 speakers, with a focus on voice onset time (VOT) analysis, neural constraints , and lexical deficits in bilinguals. His recent studies challenge the notion that bilingualism inherently causes linguistic costs, attributing observed deficits instead to second language acquisition processes. Abrahamsson has secured major grants from the Swedish Research Council (VR) , Bank of Sweden Tercentenary Foundation (RJ) , and Byggmästare Olle Engqvists Stiftelse . He supervises PhD students working on topics like Swedish compounding acquisition , language-dependent memory , and foreign accented speech perception . He teaches SLA, bilingual development, and psycholinguistics at all academic levels. Key Awards : VR Grant 2016-01630, RJ Sabbatical Grant SAB16-0051:1, Byggmästare Olle Engqvists Stiftelse Grant 200-0676 Abrahamsson's work frequently employs ERP studies and meta-analyses , emphasizing methodological rigor. He collaborates with institutions like the Multilingualism Lab and has contributed to foundational theories in critical period hypothesis and language aptitude research.

Matthias Gruberمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Memory
• Motivation
• +۳ مورد دیگر

Dr. Matthias Gruber is a Reader (Associate Professor) in Cognitive Neuroscience at Cardiff University's School of Psychology. He leads the Cardiff University Motivation and Memory Lab at CUBRIC, where his research investigates the neuroscience of motivation and its effects on memory using multimodal neuroimaging techniques (structural/functional MRI, M/EEG). His work focuses on how intrinsic motivational states like curiosity enhance learning and memory consolidation. Education includes: PhD in Cognitive Neuroscience, University College London (2007-2011) Research Assistant position at University of Regensburg (2003-2006) Research explores: Neural mechanisms of curiosity and motivation Effects of reward anticipation on memory encoding Hippocampal-prefrontal interactions during learning Developmental aspects of curiosity from childhood to adulthood Real-world applications of motivation research His publications consistently demonstrate how motivational states modulate memory systems, with recent work focusing on spatial exploration dynamics and educational applications. Awards and honors: Sir Henry Dale Fellowship (Wellcome/Royal Society, 2019-2024) Laird Cermak Award (2016) Michael S. Gazzaniga Prize for Cognitive Neuroscience (2015) Elected to Memory Disorders Research Society (2017) Research funding includes major grants from Wellcome Trust, Royal Society, and European Commission. He leads the Motivation and Memory Lab at CUBRIC and is currently accepting expressions of interest from potential research trainees.

• Political Communication
• Media Studies
• Digital Misinformation
• +۳ مورد دیگر

Cristian Vaccari is a Professor in the Politics and International Relations department at the University of Edinburgh . He is a leading scholar in political communication, digital misinformation, and media studies, with a focus on credibility evaluation and social media dynamics. Vaccari served as Editor-in-Chief of The International Journal of Press/Politics for six years, overseeing over 250 articles and organizing six journal conferences, including the 2024 and 2023 University of Edinburgh events. His research includes the Everyday Misinformation Project , funded by the Leverhulme Trust, which investigates disinformation spread on platforms like WhatsApp and Facebook Messenger through mixed-methods surveys and longitudinal studies. Collaborative work with Andrew Chadwick and others explores how source credibility impacts information sharing, the role of peer networks in combating numerical misinformation, and the potential of group rulemaking to reduce disinformation. Vaccari also contributes to policy through roles like Co-Rapporteur for the Council of Europe Committee of Experts on the Integrity of Online Information . Recent publications highlight his expertise in digital credibility, misinformation mitigation, and platform dynamics. He emphasizes bridging disciplinary divides through qualitative and quantitative methodologies, with a global perspective on media-politics intersections. Vaccari’s work informs debates on media trust, AI’s role in journalism, and strategies to counter democratic backsliding.

• Neuroscience
• Education
• Cognitive Science
• +۳ مورد دیگر

Kay James is an Associate Professor of Neuroscience and Education at Teachers College, Columbia University, and serves as Director of the Graduate Program in Neuroscience and Education and the Neurocognition of Language Lab. Their work focuses on neural mechanisms underlying language disorders, second language acquisition, and cognitive processes in schizophrenia. Key affiliations include Biobehavioral Sciences, Neuroscience and Education, Human Development, and Cognitive Science in Education. Research interests emphasize the neural basis of language processing in pathological contexts such as developmental speech disorders and schizophrenia, alongside second language acquisition in adults. Their interdisciplinary approach bridges cognitive neuroscience with clinical and educational interventions. Publications span studies on mismatch negativity in speech disorders, syntactic development in Arabic diglossia, and brain-behavior asymmetry in schizophrenia. Ongoing work explores voice-related cortical potentials and emotional face processing through electrophysiological methods. Labs and teams include the Neurocognition of Language Lab, focusing on language neurobiology and clinical applications. Grants and advising roles are not explicitly detailed in the provided materials.

• Geomechanics
• Rock Deformation
• Subsidence Modeling
• +۴ مورد دیگر

Dr. Peter Fokker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Department of Earth Sciences and the Experimental Rock Deformation/HPT group. He is affiliated with the Research Programme in Earth Sciences Utrecht (DES/IVAU) and has been actively publishing in geomechanics, subsidence modeling, and induced seismicity for over three decades. His work primarily focuses on the application of geomechanical principles to understand and model subsurface processes related to resource extraction and geothermal energy. Dr. Fokker's research interests span several interconnected domains in geomechanics and subsurface engineering. His primary focus is on experimental rock deformation , studying how rocks behave under various stress conditions. He has made significant contributions to subsidence modeling , particularly in the context of gas field depletion in the Netherlands. His work on induced seismicity has helped understand the relationship between subsurface operations and seismic events. Additional interests include geothermal energy systems , reservoir engineering , and the application of data assimilation techniques to improve subsurface characterization. His research often bridges theoretical models with practical applications in energy resource management. An analysis of Dr. Fokker's recent publications (2020-2025) reveals a strong focus on practical applications of geomechanics to real-world challenges. His work increasingly integrates InSAR technology and data assimilation methods to monitor and model subsidence processes. There's a clear emphasis on geothermal energy applications , reflecting growing interest in sustainable energy solutions. His research also demonstrates a sophisticated approach to modeling complex reservoir behaviors across multiple scales, from laboratory experiments to field-scale operations. The interdisciplinary nature of his work is evident in collaborations spanning geology, engineering, and environmental science. Dr. Fokker has supervised multiple research projects and students throughout his career, as indicated by the "Supervised Work (4)" reference in his profile. His research has been supported by various grants focused on subsidence modeling, geomechanics of energy resources, and induced seismicity. He has been involved in significant collaborative efforts, including the Dutch National Scientific Research Program on Land Subsidence. Dr. Fokker is part of the Experimental Rock Deformation/HPT group at Utrecht University, which conducts laboratory experiments and develops theoretical models to understand rock behavior under various conditions. His work contributes to the broader research ecosystem focused on sustainable resource management and understanding subsurface processes, with particular relevance to the Dutch context of gas extraction and land subsidence.

Simon Chadwickمشاهده پروفایل

استاد

• Sport Economics
• Geopolitical Economy
• Sports Management
• +۵ مورد دیگر

Simon Chadwick is a Professor of Sport and Geopolitical Economy at Skema Business School in France. He specializes in the intersection of sports, geopolitics, and economic transformation in the Middle East, particularly focusing on Gulf states' strategic investments in global sports ecosystems. His research examines how nations like Saudi Arabia and Qatar leverage sports to diversify economies, enhance soft power, and address unemployment. Key themes include the commercialization of football leagues, privatization of sports clubs, and the role of multinational corporations in shaping regional sports markets. Chadwick’s recent articles analyze the Gulf’s pursuit of the 2036 Olympics, the integration of esports into national strategies, and the challenges of building fan loyalty in the Saudi Pro League. His work also explores the economic implications of acquiring European football clubs and the long-term sustainability of Gulf-led sports initiatives. He has contributed to debates on 'sportswashing' and argues that Gulf investments extend beyond PR to systemic economic restructuring. His insights are frequently cited in analyses of Saudi Vision 2030 and its sports-related giga-projects like Neom and Diriyah.

Omer T Inanمشاهده پروفایل

استادیار

• Biomedical Engineering
• Medical Devices
• Physiological Monitoring
• +۷ مورد دیگر

Omer T Inan is the Regents Entrepreneur Endowed Chair and Assistant Professor at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology. His work bridges biomedical engineering and wearable technology, focusing on non-invasive physiological monitoring for chronic disease management. He holds a Ph.D. in Electrical Engineering from Stanford University (2009) and previously worked at Countryman Associates (2007-2013) as Chief Engineer, developing professional audio systems. Education: B.S., M.S., Ph.D. in Electrical Engineering, Stanford University (2004-2009) His research interests include medical devices for home-based cardiovascular monitoring, musculoskeletal sound analysis, and neuromodulation of stress responses. He has pioneered technologies for heart failure patients, PTSD treatment, and osteoarthritis diagnostics. Recent publications highlight innovations in AI-driven cardiac parameter estimation, motion artifact removal in seismocardiograms, and multimodal stress tracking via wearables. His work spans biomedical signal processing, clinical translation, and portable diagnostic systems. Scientific Awards 2024 IEEE Fellow 2023 IEEE Distinguished Lecturer 2023 American College of Cardiology Fellow 2022 American Institute for Medical and Biological Engineering Fellow 2021 Academy Award for Technical Achievement (The Oscars) 2018 ONR Young Investigator Award 2018 NSF CAREER Award At Georgia Tech, Inan leads the Inan Research Lab, which develops technologies for physiological monitoring and modulation. Projects include musculoskeletal sound analysis for joint health, non-invasive cardiovascular sensing, and neuromodulation to treat PTSD via vagal nerve stimulation.