Liina Juuse is a Junior Research Fellow at the University of Tartu's Institute of Psychology, Faculty of Social Sciences, with a focus on Experimental Psychology and affective neuroscience. She holds a Master's Degree (cum laude) in Psychology and is currently pursuing her PhD at the same institution. Education: MA in Psychology (cum laude), BA in Special Education, BA in Psychology Key Research Areas: Emotion recognition using EEG and bioelectrical signals, psychophysiology of facial expressions, social-emotional competence, and psychosocial crisis support. Her recent publications in journals like Acta Psychologica and Cognition & Emotion explore cross-modal emotion processing, skin conductance responses, and educational interventions. She has co-supervised multiple Master's theses on emotion analysis and AI applications in psychology. Notable awards include the II prize in Social Sciences at the 2020 National Student Research Competition for her Master's thesis. She is actively involved in projects like the Estonian Center of Excellence of Well-Being Sciences and serves on academic councils at the University of Tartu.
Dr. Cristiano Palego is a Senior Lecturer in Microwave Instrumentation at the School of Computer Science and Engineering, Bangor University. His research bridges microwave engineering, biosensor development, and environmental monitoring, with a focus on insect telemetry and cancer cell analysis. Key affiliations: SUMCASTEC (EU-funded), KESS II (PhD projects), and collaborations with S&A Fresh Produce Ltd and Cardiff University. Research Interests span microwave biosensors for cellular analysis, machine learning in insect behavior classification, and electromagnetic interactions with cancer stem cells. His work addresses UN Sustainable Development Goals in environmental conservation and health innovation. Scientific Contributions include advancements in: Microwave-based bee-tracking systems Glioblastoma organoid exposure studies MEMS phase shifters for biomedical applications Dielectrophoretic cell discrimination Recent Publications (2022–2024) highlight trends in integrating machine learning with microwave and radar systems for: Honeybee behavior classification Automated pollination monitoring High-frequency cancer cell analysis Awards & Recognition include contributing to Bangor University's 2023 Queen's Anniversary Prize-winning research on societal impact. Supervision : Open to advising PhD students in microwave biosensing, entomology, and biomedical device development.
Dr Pouria Aryan is an ARC Postdoctoral Fellow in the Biomedical Engineering department at the University of Adelaide. His research focuses on innovative biomedical engineering solutions, including non-invasive therapies for gynaecological and urological conditions, structural health monitoring of industrial infrastructure, and advanced materials characterization. He holds a Research Fellow academic rank and specializes in integrating engineering principles with medical applications. Key research areas include: Development of PRP and laser therapies for gynaecological complications Non-invasive treatments for overactive bladder and urinary incontinence Defect detection in pipelines using optical and ultrasonic sensor systems 3D laser vibrometry for structural damage analysis His work bridges biomedical innovations with engineering diagnostics, contributing to both clinical and industrial applications. Current projects emphasize real-time monitoring solutions and advanced biomaterials.
Belalcazar A is a prominent researcher in the fields of cardiac electrophysiology and oncology, with significant contributions to the development and optimization of implantable cardiac devices and cancer therapeutics. Their work spans computational modeling of defibrillation systems, safety and efficacy of pulsed field ablation, and molecular mechanisms in pancreatic and lung cancers. Collaborative research with institutions involved in cardiovascular and oncological research underscores their interdisciplinary impact. PhD in Biomedical Engineering or related field (inferred) Extensive research in cardiac rhythm devices and cancer biology Research interests center on cardiac electrophysiology , particularly subcutaneous defibrillators and ablation technologies, and molecular oncology , focusing on pancreatic and lung cancers. Their work integrates computational modeling, clinical data analysis, and molecular biology to improve therapeutic outcomes. Key themes include device optimization, energy delivery safety, and targeted molecular pathways in cancer. The recent publications show a strong trend toward bioengineering solutions in cardiology and targeted cancer therapies . Articles focus on improving implantable device efficacy, minimizing tissue damage, and exploring novel molecular targets such as HSP90, NF-κB, and Met pathways. The integration of simulation and clinical validation highlights a translational research approach. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students or grant funding are not listed, the collaborative nature of the publications—often with senior researchers and multi-institutional teams—suggests active participation in funded research projects and potential mentorship roles. Future work appears directed toward refining bioelectric therapies and advancing targeted oncology treatments. Labs and Teams: Belalcazar A. likely operates within or collaborates with electrophysiology and oncology research labs, particularly those focused on cardiac device innovation and cancer signaling pathways, though specific lab names are not provided.
Asst. Prof. Dr. Shahla Azizi Alikamar is an Assistant Professor in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU). She is affiliated with the Faculty of Engineering and holds an office in EE 215. Her contact information includes the email shahla.alikamar@emu.edu.tr and telephone number +90 392 630 1440. Dr. Alikamar's academic journey includes a PhD in Medical Physics and Biomedical Engineering (2021), an MS in Biomedical Engineering - Bioelectricity (2012), and a BS in Biomedical Engineering - Bioelectricity (2008), all from unnamed universities. Her research interests focus on biomedical signal processing, neural engineering, and applying machine learning to healthcare diagnostics, particularly in EEG analysis and neuroimaging. She has supervised three graduate theses: an ongoing PhD on a topic unspecified, a 2023 MS thesis titled *Diagnosis of Depression Disease Using Neuroimaging and Deep Learning Tools*, and a 2022 MS thesis on *EEG Sleep Stage Classification and Prediction Using Entropy Feature Extraction*. No scientific awards are listed in the provided materials. Her advising and mentoring activities reflect a focus on interdisciplinary projects at the intersection of electrical engineering and biomedical applications.
Yuecheng Peter Zhou is an Assistant Professor in the Department of Materials Science and Engineering at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in Bioengineering, the Materials Research Laboratory, and the Beckman Institute. He earned his B.S. (2014) and Ph.D. (2019) in Materials Science and Engineering from UIUC, followed by a postdoc at Stanford University's Chemistry Department and Wu Tsai Neurosciences Institute. His research focuses on developing ultrasensitive optical tools to study bioelectric and biochemical processes in brain and heart tissues. Key projects include label-free optical detection of action potentials, engineering cell-material interfaces in bioelectronics, and designing soft materials for biomedical applications. He teaches MSE 457 (Polymer Chemistry) and actively recruits graduate students, postdocs, and undergraduates with expertise in optics, biomaterials, and neuroscience. Dr. Zhou's interdisciplinary lab integrates materials science, chemistry, physics, and neuroscience. Notable publications include work on electrochromic polymers for bioelectric signal detection and polymer dynamics in complex flows. His group aims to advance non-invasive electrophysiological monitoring and therapeutic strategies for neurodegenerative and cardiac diseases.
Llibert Valls Rodríguez is part of the Core Facilities Unit at the Institute for Bioengineering of Catalonia (IBEC), contributing to interdisciplinary research at the intersection of engineering and life sciences. His work aligns with IBEC’s mission to translate fundamental research into practical applications for industry, healthcare, and society. Research focus includes Nanobioengineering , Biosensors , and Biomedical Signal Processing . Engaged in collaborative projects related to Regenerative Therapies and Cell and Tissue Engineering . The Core Facilities Unit provides advanced analytical and technological services, supporting cutting-edge research initiatives such as Smart Nano-Bio-Devices and Signal and Information Processing for Sensing Systems . This role emphasizes IBEC’s commitment to innovation and societal impact through science.
Eulàlia Negre Dou is a researcher affiliated with the Institute for Bioengineering of Catalonia (IBEC), focusing on interdisciplinary research at the intersection of engineering and life sciences. Her work falls under the Nanobioengineering department, which explores cutting-edge advancements in bioengineering. Research areas include biomaterials, cellular mechanobiology, and nanoscale bioelectrical characterization. Collaborations span industry, hospitals, and academic institutions to drive technological and clinical innovation. The institute emphasizes open science, sustainability, and gender diversity, with core facilities supporting advanced research methodologies.
Rob MacLeod is a Professor of Biomedical Engineering and Medicine at the University of Utah, with an adjunct appointment in the Division of Cardiovascular Medicine. He serves as Deputy Director of the Scientific Computing and Imaging (SCI) Institute, Co-Director of the Center for Integrative Biomedical Computing (CIBC), and Director of the Computational Electrocardiology Group (CEG). Professor, Biomedical Engineering - Price College of Engineering Adjunct Professor, Internal Medicine - Spencer Fox Eccles School of Medicine Co-Director, CIBC Director, CEG Research Interests: His work focuses on electrocardiographic mapping , myocardial ischemia , computational electrophysiology , and bioelectric signal processing . He also explores scientific visualization tools for analyzing biomedical data and neuromodulation techniques for brain stimulation. Collaborative projects span cardiac arrhythmias , including atrial fibrillation and ventricular defibrillation. Collaborations: MacLeod collaborates with local and international researchers, including Karli Gillette (University of Utah), Ravi Ranjan (CVRTI), Matthijs Cluitmans (Maastricht), Peter van Dam (Nijmegen), Oleg Aslanidi (King's College London), and Oscar Camara (Barcelona). He mentors graduate and undergraduate students and co-founded the Consortium for ECG Imaging. Education and Experience: His research is tied to the University of Utah, where he has held leadership roles in academic and scientific initiatives. He is actively involved in teaching courses like BME 2100, BME 6000, and BME 6110.
Gabriel Gomila Lluch is a Full Professor at the University of Barcelona's Department of Electronics and Group Leader at the Institute for Bioengineering of Catalonia (IBEC). His research at the Nanoscale Bioelectrical Characterization group integrates Scanning Probe Microscopy, Artificial Intelligence, and Organic Bioelectronics to advance label-free characterization tools for Life Sciences and nanomedical diagnostics. PhD in Physics (University of Barcelona, 1997) Ramón y Cajal Fellowship recipient (2001) ICREA Academia awardee (2014) His research spans: Bioelectrical characterization of cells, bacteria, and nanocarriers Autonomous microscopy systems with AI integration Organic Bioelectronics for biosensing and signal transduction Cable bacteria conduction mechanisms Scientific contributions include: First supervised machine learning algorithm for Scanning Dielectric Microscopy data Breakthrough in confined water dielectric constant measurement (Science 2018) Pioneering work on nanoscale capacitance microscopy Key innovation areas: High-throughput multimodal characterization Autonomous probe microscopy systems Dielectric nanotomography Protein nanowire conductivity analysis
Wallace Marshall is a Professor at the University of California San Francisco (UCSF), focusing on cell biology, biophysics, and regenerative medicine. His research explores the physical principles governing cellular structures and processes, including flagellar length control, centriole orientation, and regeneration in single-celled organisms like Stentor and Spirostomum . He has secured multiple NIH grants (e.g., R35GM130327, T32EB009383) as Principal Investigator, investigating design principles of cellular control circuits and whole-cell imaging standardization. Education: BE in Electrical Engineering and BS in Biochemistry from Stony Brook University; PhD in Biochemistry from UCSF; Postdoc in Cell Biology at Yale University His work bridges physics and biology, examining cellular cognition, mitochondrial networks, and bioelectrical control of motility. Recent studies highlight the role of microtubule cytoskeletons in mRNA regionalization and the application of mathematical models to understand organelle dynamics. Publications demonstrate interdisciplinary approaches combining genetics, biochemistry, and computational biology. Scientific Awards: Eta Kappa Nu Electrical Engineering Honor Society (1990) Howard Hughes Medical Institute Predoctoral Fellowship (1991-1996) Helen Hay Whitney Foundation Fellowship (1997-2000) Leukemia & Lymphoma Society Special Fellowship (2000-2003) Searle Scholar Award (2005-2008) Dean's Recognition for Excellence in Teaching (2007, 2008) Keck Foundation Distinguished Young Scholar in Medical Research (2007) Herbert Boyer Junior Faculty Endowed Chair (2009) Marshall's research spans the intersection of physical sciences and biology, using model systems like Chlamydomonas and Stentor to uncover fundamental mechanisms in cellular organization, regeneration, and non-neural behavior.
Parag Chitnis is an Associate Professor in the Department of Bioengineering at George Mason University's College of Engineering, where he has served since Fall 2014. He also acts as Principal Investigator at the Krasnow Institute of Advanced Study, focusing on systems science and bioengineering innovation through interdisciplinary research. PhD, Mechanical Engineering - Boston University MS, Mechanical Engineering - Boston University BS, Engineering Physics and Mathematics - West Virginia Wesleyan College His research centers on medical ultrasonics and photoacoustics, pioneering non-invasive biomedical imaging techniques for tissue characterization, tumor detection, and neural signal monitoring. He integrates DNA-based nanosensors, NIR-II fluorescent probes, and machine learning algorithms to advance diagnostic precision. Recent articles highlight innovations in photoacoustic tomography, wearable ultrasound systems, and ultrasound-responsive drug delivery. Key trends include transcranial imaging, vascular mapping, and real-time muscle fatigue monitoring using portable devices. His work extends to the Center for Advancing Systems Science and Bioengineering Innovation (CASSBI), with clinical collaborations focused on pelvic floor elastography, neuroinflammation diagnostics, and implantable device actuation via ultrasound.
Marc A. Sommer is a Professor of Biomedical Engineering and Professor of Psychology and Neuroscience at Duke University's Pratt School of Engineering. He serves as Director of the Duke Institute for Brain Sciences and is also an Associate Professor in Neurobiology. Additionally, he is an Associate of the Duke Initiative for Science & Society, a Member of the Center for Cognitive Neuroscience, and an Investigator in the Duke Institute for Brain Sciences. Dr. Sommer earned his Ph.D. from the Massachusetts Institute of Technology in 1995. His academic journey has established him as a leading figure in the integration of neuroscience and engineering disciplines at Duke University. Dr. Sommer's research program focuses on circuits for cognition, employing a combination of neurophysiology and biomedical engineering to investigate the interaction between brain areas during visual perception, decision-making, and motor planning. His laboratory conducts pioneering work on the role of frontal cortex in metacognition, cerebellar-frontal circuits in action timing, the neural basis of "good enough" decision-making (satisficing), and the neural mechanisms of transcranial magnetic stimulation (TMS). His approach bridges fundamental neuroscience with practical applications in neural engineering and brain stimulation technologies. Analysis of Dr. Sommer's recent publications reveals a strong emphasis on understanding visual stability across saccadic eye movements, neural mechanisms of decision-making, and the application of advanced techniques like optogenetics and transcranial magnetic stimulation in nonhuman primates. His work spans multiple levels of analysis from single neuron recordings to computational modeling, with increasing focus on translational applications for understanding and treating neurological conditions. Dr. Sommer has received numerous prestigious awards for his contributions to neuroscience and teaching: Capers and Marion McDonald Award for Excellence in Teaching and Research from Pratt School of Engineering (2021) Capers and Marion McDonald Award for Excellence in Mentoring and Advising from Pratt School of Engineering (2017) Bass Fellow at Duke University (2017) Research Fellowship in Neuroscience from Alfred P. Sloan Foundation (2005) Dr. Sommer maintains an extensive research program with multiple active grants spanning from 2014 to 2029. His work includes projects on visual signaling, transcranial magnetic stimulation mechanisms, neural circuits for eye movements, and cognitive neuroscience. He teaches courses including Neuronal Control of Movement, Bioelectricity, and Introduction to Neural Engineering, and mentors students through independent study courses and research rotations. His laboratory serves as a hub for interdisciplinary research, bringing together students and researchers from biomedical engineering, neuroscience, and psychology. Dr. Sommer leads a dynamic research laboratory that employs sophisticated techniques including neurophysiology in nonhuman primates, optogenetics, computational modeling, and brain stimulation approaches. The lab collaborates extensively across Duke University and with other institutions, contributing significantly to the neuroscience community through both fundamental discoveries and translational applications.
Tadas Žvirblis serves as an Associate Professor within the Interdisciplinary Statistical Research Group at Vilnius University's Institute of Data Science and Digital Technologies, maintaining his research office at Akademijos St. 4, room 604A in Vilnius. His academic profile bridges theoretical statistics with practical engineering and medical applications through advanced computational methodologies. His research program centers on machine learning and deep learning innovations for complex signal analysis, with dual specializations in biomedical diagnostics (EEG, NIRS, cardiovascular monitoring) and industrial systems (conveyor mechanics, gear fault detection, engine emissions). Key methodological contributions include novel data augmentation techniques for time series, generative modeling of vibration signals, and prognostic frameworks for reliability engineering, demonstrating consistent interdisciplinary collaboration across medical and engineering domains. Analysis of his 13 publications from 2023-2025 reveals a strategic research trajectory applying deep learning to data-scarce scenarios, particularly in biomedical signal interpretation and industrial predictive maintenance. His work shows increasing focus on clinical applications since 2024, including ECMO mortality prediction and aortic morphology studies, while maintaining strong industrial engineering output through IEEE conference publications on conveyor systems and engine diagnostics. Dr. Žvirblis actively supervises doctoral research as Senior Researcher for Gajane Mikalkėnienė's project (2023-2027) developing EEG-based depression diagnosis methods under Informatics field N 009. His grant portfolio includes multiple industry-collaborative projects evidenced by co-authorship with clinical researchers and engineering teams across Lithuania, Poland, and Germany. As a core member of the Interdisciplinary Statistical Research Group, he contributes to the unit's mission of advancing statistical methodologies for real-world data challenges, with particular emphasis on time-series analysis in non-stationary environments. His laboratory work integrates signal processing hardware with deep learning frameworks to address industrial automation and medical monitoring challenges.
Dominik Karl Linz is a Professor in the Department of Biomedical Sciences at the University of Copenhagen, specializing in the Physiology of circulation, kidney and lung. His work bridges cardiology, electrophysiology, and innovative treatment approaches for complex cardiac rhythm disorders, with significant contributions to the understanding and management of atrial fibrillation and related conditions. Dr. Linz's research interests focus on cardiac electrophysiology with particular emphasis on: Atrial fibrillation and atrial flutter treatment Pulsed field ablation techniques Cardiac arrhythmia monitoring and detection Postoperative cardiac rhythm management Digital health applications for cardiac care Physiological interactions between circulation, kidney function, and pulmonary systems His recent publications demonstrate a strong focus on advancing ablation technologies, particularly pulsed field ablation for atrial fibrillation and flutter. Dr. Linz has made significant contributions to clinical trials assessing novel catheter technologies and has published extensively on long-term outcomes of ablation procedures. His work in Nature Medicine on AI for electrocardiography reporting represents a major advancement in integrating artificial intelligence with clinical cardiac care, receiving widespread attention from both academic and clinical communities. Dr. Linz's research has garnered substantial recognition, with multiple publications picked up by numerous news outlets and shared widely across social media platforms including X (with over 200 mentions for his Nature Medicine paper) and Bluesky. His work on digital health applications has particular relevance in the current landscape of remote patient monitoring and telemedicine. He maintains extensive international collaborations, working with researchers across Europe and North America as evidenced by the multinational author lists on his publications. His research group appears to be associated with the Jespersen Group at the University of Copenhagen, focusing on circulation, kidney, and lung physiology within the broader biomedical sciences framework.
