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Wei OuyangView profile

Assistant Professor

• Bioelectronics
• MEMS
• Wearables
• +4 more

Wei Ouyang is an Assistant Professor of Engineering at the Thayer School of Engineering, Dartmouth College. His research focuses on bio-integrated microsystems for neuroscience and healthcare innovation, leveraging MEMS, wearables, and implantables. He holds a BS from Peking University (2013), and SM/PhD from MIT (2016/2019). His work spans bioelectronics, microfluidics, and digital health, with notable contributions to implantable systems and molecular diagnostics. Education: BS in Microelectronics, Peking University, 2013 SM in Electrical Engineering and Computer Science, MIT, 2016 PhD in Electrical Engineering, MIT, 2019 Research Interests: Bioelectronics, MEMS, wearables, implantables, microfluidics, digital health, neuroengineering. His lab develops systems for wireless, battery-free neural recording/neuromodulation and closed-loop health monitoring. Awards: Chinese Government Award for Outstanding Self-Financed Students Abroad (2020) Siebel Scholar (2016) Ernst A. Guillemin Thesis Award (2016) Multiple MIT and Peking University honors Advising & Labs: Mentors students/postdocs in interdisciplinary engineering. Leads the Bio-Integrated Microsystems Group , focused on wearable/implantable systems for healthcare and neuroscience. Recent team members include Ben Fu, Jianyu Gu, and Yunxiang Huang. Key Projects: Injectable bioresorbable pacemakers, wireless neural implants, and multiparametric respiratory monitoring for pandemic response.

Luigi PannoneView profile

Physician Scientist

• Cardiac Electrophysiology
• Arrhythmia Management
• Catheter Ablation Techniques
• +3 more

Luigi Pannone is an External employee in the Clinical Sciences department at Brussels University Hospital, specializing in Heart Rhythm Research and Cardiovascular Diseases. He serves as a Physician in Heartrhythmmanagement, contributing significantly to the field of cardiac electrophysiology with a focus on arrhythmia management and ablation techniques. His primary research interests center around cardiac electrophysiology, with particular focus on Brugada Syndrome, Atrial Fibrillation, Catheter Ablation techniques, and Heart Rhythm Disorders. His work has significantly advanced understanding of arrhythmia mechanisms and treatment approaches, particularly in the areas of pulsed field ablation technology and diagnostic techniques for inherited arrhythmia syndromes. He has published extensively on topics ranging from genetic variants in Brugada Syndrome to novel ablation catheter technologies and their clinical applications. Dr. Pannone's recent research output shows a strong emphasis on innovative ablation technologies, particularly pulsed field ablation, with numerous publications examining its safety, efficacy, and applications across various arrhythmia substrates. His work spans from basic mapping studies to large multicenter registries evaluating real-world clinical outcomes. Paul Dudley White International Scholar Award-Belgium (2023) Dr. Pannone serves as an Editor for Frontiers in Cardiovascular Medicine and has contributed to 181 research outputs with 1057 citations and an h-index of 17. His research collaborations span multiple institutions, reflecting his standing in the international cardiac electrophysiology community. His work on the Affera Ventricular Arrhythmia Ablation (AVAAR) Registry and other multicenter studies demonstrates his leadership in clinical research. Dr. Pannone is actively involved in cutting-edge research on heart rhythm management, particularly focusing on novel ablation technologies and their clinical implementation. His work bridges the gap between technological innovation and clinical practice, with a particular emphasis on improving outcomes for patients with complex arrhythmias.

• Interventional Cardiology
• Structural Heart Disease
• Valvular Heart Disease
• +3 more

Dr. Haytham Allaham serves as an Assistant Professor in the Department of Medicine at the University of Maryland School of Medicine, specializing in interventional and structural cardiology. His clinical practice focuses on advanced percutaneous cardiovascular procedures at the University of Maryland Medical Center. His educational background includes: MD from University of Jordan Medical School (2008) Postdoctoral Research Fellowship at Beth Israel Deaconess Medical Center, Harvard Medical School (2015) Internal Medicine Residency at University of Missouri Medical Center (2016) General Cardiovascular Fellowship at University of Maryland (2019) Interventional Cardiology Fellowship at University of Maryland (2022) Advanced Structural Cardiology Fellowship at University of Maryland (2023) Dr. Allaham's research centers on complex coronary interventions in patients with valvular heart disease, particularly double valve pathologies requiring transcatheter approaches. His work investigates TAVR and MitraClip procedures in conjunction with coronary artery disease, emphasizing patient selection criteria, procedural safety, and long-term outcomes through advanced imaging and device technology optimization. Current projects address mechanical hemodynamic support during high-risk interventions and refining percutaneous techniques for patients with limited surgical options. His 15 most recent publications (2018-2021) demonstrate consistent focus on structural heart interventions, with 78% examining transcatheter valve procedures and their interplay with coronary disease. Key trends include concomitant TAVR-PCI outcomes, electrocardiographic predictors for procedural complications, and safety protocols for high-risk patient cohorts. Professional recognition includes: Outstanding Post-doctoral Research Fellow at PERFUSE Study Group Outstanding Medical Student Teaching Award As a board-certified specialist in internal medicine, cardiovascular medicine, interventional cardiology, and echocardiography, Dr. Allaham mentors medical trainees in complex case management while advancing clinical protocols for structural heart disease. His work integrates the University of Maryland's structural heart program with national research initiatives through collaborations with the American College of Cardiology and Society for Cardiovascular Angiography and Interventions. He directs procedural training within the structural heart team at University of Maryland Medical Center, specializing in complex coronary interventions requiring mechanical circulatory support and transcatheter valve therapies for high-surgical-risk patients.

• Cardiac Electrophysiology
• Cardiac Arrhythmias
• Lysosomal Calcium Signaling
• +5 more

Associate Professor Rebecca Burton is a cardiac electrophysiologist in the Department of Pharmacology at the University of Oxford's Medical Sciences Division. Since completing her DPhil in 2006, she has led research on cardiac arrhythmias with focus on lysosomal calcium signaling and hydroxychloroquine's effects on heart rhythm. Her group of approximately 10 researchers employs novel imaging methods and traditional pharmacology techniques to study cardiac function. Her research interests center on cardiac arrhythmia mechanisms, particularly the role of lysosomal calcium stores in atrial fibrillation. She investigates cAMP-Ca 2+ cross talk in atrial nanodomains, IP3 receptor signaling , and acidic organelle function in cardiomyocytes. Her work bridges basic science with translational applications through collaborations with clinicians across disciplines. Her 15 most recent publications (2022-2025) demonstrate consistent focus on lysosomal calcium signaling in cardiac rhythm regulation, with particular emphasis on atrial-specific mechanisms. Key themes include compartmentalized cAMP signaling, NAADP-mediated calcium release, and the role of endolysosomal networks in atrial fibrillation pathophysiology. Scientific recognition includes: Winston Churchill Medal for contributions to Science and Technology (2015-2016) Sir Henry Dale Fellowship supporting her ambitious interdisciplinary research Beyond research, Burton serves in teaching roles including examination setting and marking, provides pastoral care at her college, and actively engages in public outreach through events like the Science Museum Lates. She has advocated for improved career pathways for early-career researchers and greater equality of opportunity in academia. Her laboratory specializes in advanced cardiac optical mapping, lysosomal calcium imaging, and multi-disciplinary approaches to studying the neuro-cardiac axis, with particular focus on how sympathetic neuronal activity affects cardiac conduction and arrhythmia susceptibility.

François RivestView profile

Associate Professor

• Artificial Intelligence Engineering
• Machine Learning Systems
• Computational Neurosciences
• +3 more

Dr. François Rivest is an Associate Professor at Queen’s University, affiliated with the Department of Biomedical and Molecular Sciences (School of Medicine, Faculty of Health Sciences). He also holds cross-appointments in the School of Computing (Faculty of Arts and Science) and is a member of the Centre for Neuroscience Studies. His research focuses on machine deep reinforcement learning and animal interval timing, aiming to bridge computational neuroscience insights with advanced AI systems. He leads the Natural and Artificial Adaptive Intelligent Systems Laboratory. Education: PhD in Computer Science (Computational Neuroscience/Machine Learning) – Université de Montréal (2010) MSc in Computer Science – McGill University (2002) BSc in Mathematics and Computer Science – McGill University (2000) Research Interests: Dr. Rivest’s work integrates principles of animal learning, particularly reward-based systems and temporal cognition, into machine learning algorithms. Key areas include: Reinforcement learning frameworks inspired by dopamine signaling Drift-diffusion models for interval timing Adaptive representation construction in real-time systems Applications in smart homes, robotics, and neuroscience Publications: Over 20 peer-reviewed articles (2001–2022) span computational neuroscience, reinforcement learning, and machine learning systems. Recent work includes modeling interval timing dynamics and applying reinforcement learning to smart home systems. Lab & Affiliations: As Principal Investigator of the Natural and Artificial Adaptive Intelligent Systems Lab, he explores interdisciplinary AI applications. Collaborations include the Royal Military College of Canada (2010–present) and Queen’s University’s Center for Neuroscience Studies (2011–present).

John X.J. ZhangView profile

Professor

• Biomedical Engineering
• Nanotechnology
• Lab-on-Chip Design
• +5 more

John X.J. Zhang is a Professor of Engineering at Dartmouth College's Thayer School of Engineering, specializing in Biomedical Engineering. His research focuses on developing miniature medical systems, bio-inspired nanomaterials, and lab-on-chip technologies to improve global health. He holds a PhD in Electrical Engineering from Stanford University and has been recognized with prestigious awards including the NIH Transformative Research Award and AIMBE Fellowship. Education: BS, Shanghai Jiao-Tong University, 1995 MS, Electrical Engineering, University of Maine at Orono, 1998 PhD, Electrical Engineering, Stanford University, 2004 Research Scientist, MIT, 2005 Research Interests: Biomedical imaging and biosensing systems Nanomaterials and nanofabrication Multi-scale modeling of biological processes Point-of-care diagnostics Awards: NIH Transformative Research Award (2016) Fellow, AIMBE (2015) NSF CAREER Award (2009) DARPA Young Faculty Award (2010) Grants and Advising: Recipient of multiple federal and industry grants Advises graduate students in biomedical engineering and materials science Labs and Teams: Zhang Research Group: Focuses on translational biomedical engineering, including flexible sensors, microfluidics for cancer diagnostics, and energy harvesting for implantable devices

• Calcium Signaling
• Smooth Muscle Physiology
• Cardiovascular Disease
• +3 more

Karen Hannigan, Ph.D., serves as a Research Assistant Professor in the Department of Pharmacology at the University of Nevada, Reno School of Medicine, where her research centers on calcium signaling mechanisms in smooth muscle and cardiac cells and their implications for cardiovascular and gastrointestinal diseases. Her academic credentials include: B.S. in Anatomy from Queen's University Belfast, Northern Ireland Ph.D. in Physiology from Dundalk Institute of Technology, Ireland Dr. Hannigan's research program investigates dysregulation of Ca 2+ signaling in smooth muscle pathophysiology, with particular emphasis on gastrointestinal sphincters (internal anal sphincter and lower esophageal sphincter) and urogenital tissues (corpus cavernosum). Her work integrates cellular electrophysiology, calcium imaging, and pharmacological approaches to study ion channels—including BK Ca and Ano1—and their roles in muscle tone generation, pacemaker activity, and neuromuscular transmission across multiple species (mouse, monkey, rabbit). Analysis of her 15 most recent publications (2010–2020) reveals a cohesive research trajectory focused on smooth muscle physiology, with 60% of articles published between 2016–2020. Key thematic clusters include: (1) interstitial cells of Cajal as pacemakers in gastrointestinal motility, (2) β-adrenergic regulation of calcium channel dynamics in cardiac tissue, and (3) pharmacological modulation of BK Ca channels in erectile physiology. Her methodological rigor spans super-resolution imaging, comparative animal models, and translational investigations of motility disorders. No major scientific awards were documented in the source materials. Information regarding student mentorship, grant funding, or laboratory leadership was not provided in the available documentation. Research infrastructure details including laboratory facilities, collaborative teams, or ongoing projects were not specified in the source texts.

Damu RadhakrishnanView profile

Associate Professor

• Low Power Digital Architectures
• High-Performance Arithmetic Circuits
• Reversible Logic
• +3 more

Damu Radhakrishnan is an Associate Professor in the Department of Computer Engineering at SUNY New Paltz. He holds a Ph.D. in Electrical Engineering from the University of Idaho, following B.Sc. and M.Tech. degrees from the University of Kerala and IIT Kanpur, India. His research focuses on low-power digital architectures, high-performance arithmetic circuits, reversible logic, and bio-medical instrumentation. He teaches courses including Introduction to Engineering Science, Digital Logic Lab, Digital Systems Design, and Senior Design Project 2. Dr. Radhakrishnan has contributed to over 20 publications since 1983, emphasizing low-power circuit design, residue arithmetic, and biomedical device development. His work spans analog-to-residue converters, fault-tolerant systems, and medical instrumentation. Key technical reports include contributions to NASA Langley Research Center and EG&G Corporation projects. His research trends reflect a sustained focus on energy-efficient digital systems, with early contributions to CMOS power optimization and later advancements in biomedical device testing. His publications demonstrate expertise in both theoretical foundations (e.g., switching theory textbooks) and applied engineering (e.g., defibrillator analyzers). Dr. Radhakrishnan maintains an active lab in Resnick Engineering Hall, where he oversees senior design projects and collaborates on interdisciplinary engineering solutions. His technical reports highlight contributions to medical simulation tools, VLSI implementation methods, and analog-digital interface design.

• Microelectronics
• Emerging Memories
• Neuromorphic Computing
• +5 more

Hassen AZIZA is a senior Associate Professor and Head of the Memory Team (MEM) within the IM2NP research unit at Aix-Marseille University, specializing in microelectronics and emerging memory technologies. His work bridges academic research and industrial applications through collaborations with ST-Microelectronics, CEA-Leti, Thales, and international universities. He earned both his Master of Science in Electrical Engineering (MSEE) and PhD with honors from Aix-Marseille University. His educational background established the foundation for his expertise in semiconductor devices and memory systems. His research centers on Microelectronics , Emerging Memories , and Neuromorphic Computing , with specific focus on RRAM reliability, computation-in-memory architectures, and hardware security. Current projects address critical challenges in RRAM variability, fault tolerance, and energy-efficient neural network implementations using memristive crossbars. His work spans from fundamental device physics to system-level integration for IoT and biomedical applications. Analysis of his 15 most recent publications reveals dominant trends in RRAM reliability engineering (35% of articles), neuromorphic hardware implementation (30%), and sensor system development (20%). Key subfields include fault-tolerant memory design, variability-aware neural networks, and low-power IoT circuit optimization, demonstrating consistent focus on bridging device physics with practical system requirements. Best Paper Award at IEEE ETS (2021) for RRAM fault analysis CoolGames Silver Medal (2019) for high-altitude balloon project Eiffel Scholarship for PhD student (2018) Guillemin-Cauer Best Paper Award (2014) Multiple IEEE conference best paper awards (2013, 2011) SIMagine contest finalist/silver medalist (2010, 2009) He has supervised 10 PhD students (8 graduated via industry-oriented CIFRE theses), including Eiffel scholarship recipient Hussein BAZZI. His research is funded through strategic industry partnerships with ST-Microelectronics, CEA-Leti, and Thales Silicon Security, plus European initiatives like the French Tech LAB grant for the SMILE air quality monitoring startup project. Current grants focus on RRAM commercialization and neuromorphic hardware development. As leader of the Memory Team (MEM) within IM2NP's Department of Analysis and Design of Electronic Systems, he directs research on resistive memories, neuromorphic circuits, and sensor interfaces. The team maintains strong industry links through joint projects with semiconductor manufacturers and participates in international standardization efforts for emerging memory technologies.

Timothy J. LewisView profile

Professor

• Mathematical Physiology
• Neurobiology
• Cardiac Electrophysiology
• +4 more

Timothy J. Lewis is a Professor in the Department of Mathematics at the University of California, Davis, with a research focus on mathematical physiology, neurobiology, and excitable media. He has held positions at UC Davis since 2004, progressing from Assistant to Associate to Full Professor. Ph.D. in Mathematics (University of Utah, 1998) M.S. in Mathematics (University of Utah, 1993) M.Sc. in Physiology (McGill University, 1991) B.Sc. in Physiology and Physics (McGill University, 1988) His research interests include: Mathematical modeling of excitable media Neurobiology of electrically coupled neurons Cardiac electrophysiology and pharmacology Weakly coupled oscillator theory Dynamical systems in biological contexts His recent work spans computational neuroscience, cardiac drug interactions, and biomechanical systems. Key trends include: Modeling subcellular cAMP compartmentation Optimizing neurocardiac digital twins Analyzing sodium channel blocker efficacy Investigating spiral wave stability in excitable tissue Scientific awards include: 2011 G. Thomas Sallee Award for undergraduate teaching 2007 Galois Group Service Award He has mentored numerous graduate and undergraduate students, including: Jiawei Zhang (Ph.D. 2013, now at University of Arizona) Michael Schwemmer (Ph.D. 2010, now at Battelle Memorial Institute) Steffen Docken (current Ph.D. candidate)

• Antenna Engineering
• 6G/5G Communications
• Metamaterials
• +6 more

Ming Shen is an Associate Professor at the Department of Electronic Systems, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on antennas, millimeter-wave systems, and AI-driven RF sensors with applications in 5G/6G communications, biomedical engineering, and smart systems. His research interests span antenna design (including phased arrays, metamaterials, and compact structures), AI integration in electromagnetic systems, and medical sensor technologies. Recent projects include drone-based electromagnetic signature analysis, vibration energy harvesting for pacemakers, and smart healthcare systems for posture recognition and surgical site infection monitoring. Key projects include DRONES: Drone-Obtained Electromagnetic Signatures (2024–2028), Sensor Intelligence for Healthcare and Sports (2022–2027), and DeepBone (2021–2022), which explored deep learning for surgical infection detection. His work also bridges machine learning and electromagnetic design, with breakthroughs in surrogate modeling and automated antenna optimization. Ming Shen has supervised 6 PhD students and published over 160 peer-reviewed articles. Notable contributions include AI-assisted NLOS sensing, ultra-wideband antenna innovations, and medical applications such as electrical impedance-based bone healing assessment.

Guy LeclercView profile

Professor

• Cardiology
• Molecular Cardiology
• Translational Research
• +3 more

Dr. Guy Leclerc is an interventional cardiologist, entrepreneur, and philanthropist affiliated with the Université de Montréal (UdeM) and the Centre Hospitalier de l'Université de Montréal (CHUM). He completed his MD in 1983 and cardiology specialization in 1989 from UdeM's Faculty of Medicine. His career spans academic research, medical innovation, and business leadership, including heading CHUM's Department of Cardiology and Cardiac Surgery and founding companies like Angiogène and AccelLab. He has pioneered translational research in medical devices such as stents, valves, and pacemakers. Education: MD, Université de Montréal (1983) Cardiology Specialization, Université de Montréal (1989) Postdoctoral studies, Boston Research & Innovation: Leclerc established a molecular cardiology laboratory at Notre-Dame Hospital with MRCC funding. He patented medical technologies, raised $6M through business partnerships, and founded AccelLab (2004), which grew to 115 employees and $16M in revenue before its sale in 2019. His work focuses on advancing interventional cardiology through medical device development and translational research. Grants & Philanthropy: Secured grants from the Medical Research Council of Canada (MRCC) for his molecular cardiology lab. Committed to giving back, he supports CHUM to improve healthcare in Quebec through discreet philanthropy. Labs & Ventures: Molecular Cardiology Lab (Notre-Dame Hospital), AccelLab (medical product R&D), and Angiogène (cardiovascular innovations).

• Cardiorespiratory Medicine
• Adult Congenital Heart Disease
• Cardiovascular Magnetic Resonance (CMR)
• +3 more

Dr. Sonya Babu-Narayan is a Reader at the National Heart and Lung Institute, Imperial College London, and a Consultant Cardiologist at the Royal Brompton and Harefield NHS Trust. She also serves as Associate Medical Director at the British Heart Foundation (2018–present). Her academic roles include leadership in adult congenital heart disease (ACHD) research, cardiovascular magnetic resonance (CMR) technology, and clinical guidelines. She holds a PhD from Imperial College London and completed advanced clinical training in cardiology across multiple prestigious institutions. Education: MB BS (Merit in Clinical Medicine), University College London (1998) BSc First Class Honours (Neurosciences), University College London (1994) MRCP (UK), Royal College of Physicians (2001) PhD, Imperial College London Research Interests: Her work focuses on adult congenital heart disease , CMR innovations , and clinical outcomes in ACHD . She co-authored the 2020 ESC ACHD guidelines and pioneered CMR-based risk stratification models. Her research integrates biomedical engineering, public health, and clinical cardiology. Awards and Recognition: BHF Intermediate Clinical Research Fellowship (2012–2018) American Heart Association Cardiovascular Disease in the Young Award (2006) 2022 Inspiring Communicator Award (for science-art collaborations) Advising/Grants: She led the BHF-funded INDICATOR cohort study and collaborated with Wellcome Trust on the Fluent Heart project, blending medicine with arts. She advises parliamentary committees on healthcare policy. Collaborations and Labs: Active in the National Heart and Lung Institute , she leads international studies like the COaCHeD project and chairs ACHD imaging guidelines committees.

Amir FahmiView profile

Professor

• Nanotechnology
• Materials Science
• Electrospinning
• +7 more

Prof. Dr. Amir Fahmi is a Professor at the Faculty of Technology and Bionics, Hochschule Rhein-Waal (Rhein-Waal University of Applied Sciences). He holds interdisciplinary expertise in bio/chemistry and materials science, with research spanning nanostructured materials, electrospinning, and biomedical applications (e.g., tissue engineering, antimicrobial scaffolds). He leads a multidisciplinary research group currently focused on projects such as Nano-SHIELD (European Defense Fund) and FABIOCOM (BMBF). Prof. Fahmi completed his education and early research at TU Dresden and the Max-Planck-Institute for Polymer Research. He later established his research group at the University of Nottingham (UK) as a Senior Research Fellow. His work has generated over 100 peer-reviewed publications, five patents, and international collaborations across Europe, China, and the Americas. Research Interests: His group pioneers hybrid nanomaterials via self-assembly and electrospinning, with applications in: Biomedicine : Implantable triboelectric nanogenerators, bone regeneration scaffolds, wound healing bandages. Sustainability : CO₂ capture/conversion nanofibers, pollutant removal. Advanced Materials : MXene-based photothermal fibers, smart 3D platforms. Awards & Recognition: Associate Fellow of the Higher Education Academy (UK) for innovative nanotechnology teaching methods. Referee for major journals (Wiley, Springer, Elsevier, ACS) and funding bodies (EPSRC, Royal Society). Advising & Projects: He mentors doctoral researchers (e.g., Dr. Nirwan, Dr. Altangerel) and leads grants including EU COST Action TD0802 and Innovation China-UK. His lab develops nano-enabled solutions for healthcare (e.g., battery-free pacemakers, antiviral masks) in collaboration with institutions across Europe.

• Cardiac Electrophysiology
• Arrhythmia Management
• Cardiac Resynchronization Therapy
• +6 more

Jacqueline Joza, MD is an Assistant Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences. She serves as an Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) and is affiliated with the Department of Medicine, Division of Cardiology at the McGill University Health Centre (MUHC). Dr. Joza is a member of the Cardiovascular Health Across the Lifespan Program at RI-MUHC, which focuses on comprehensive cardiovascular care throughout all stages of life. Dr. Joza's research spans multiple cutting-edge areas within cardiac electrophysiology. Her primary interests include cardiac resynchronization therapy optimization , conduction system pacing techniques , management of inherited arrhythmia syndromes including Long QT syndrome, and atrial fibrillation treatment strategies . Her work bridges clinical practice with research innovation, particularly in the areas of left bundle branch area pacing, risk stratification for arrhythmic events, and novel approaches to cardiac rhythm management. She has made significant contributions to clinical guidelines and consensus statements in the field of cardiac electrophysiology through collaborations with major cardiology societies. Dr. Joza has been actively involved in numerous clinical studies examining cardiac pacing technologies, arrhythmia management, and outcomes research in electrophysiology procedures. Her research often combines clinical observation with advanced analytical approaches, including in silico modeling of cardiac electrophysiology and vectorcardiographic analysis. She has published extensively on topics related to cardiac device optimization, with particular attention to improving patient selection criteria and procedural techniques. Her work on cost-effectiveness of cardiac device interventions demonstrates her commitment to understanding the broader healthcare implications of electrophysiology treatments.