Haipeng Liu is an Assistant Professor in the Centre for Intelligent Healthcare at Coventry University. His research focuses on cardiovascular system modeling, biosignal processing, wearable nanosensors, and AI-driven diagnostics. He has supervised over 100 research outputs and holds editorial roles in journals like Frontiers in Physiology and Electronics . His work bridges clinical needs with technological innovation, particularly in healthcare technology and cardiovascular diagnostics. Research Interests: Computational modeling of cardiovascular systems, AI-enhanced diagnostics, wearable sensors, and medical imaging. Key Awards: British Heart Foundation Travel Award (2019), First Prize in National Mathematics Competition (2011). Collaborations: Active in global research networks, including the World Stroke Organization. His recent work emphasizes machine learning applications in cardiology and stroke diagnostics, with publications in Physics of Fluids , European Journal of Radiology , and Frontiers in Genetics . He is a sought-after advisor for PhD students exploring healthcare technology.
Vladan Koncar is a Full Professor and Research Supervisor at École Nationale Supérieure des Arts et Industries Textiles (ENSAIT), where he directs the GEMTEX laboratory and international relations. His research spans smart textiles, e-textiles, wearable sensors, and energy-harvesting systems, with applications in healthcare, military, and environmental monitoring. Research Interests: Koncar's work focuses on three primary themes: (1) Smart textile design for medical/safety applications; (2) Energy harvesting via textile NFC antennas and metamaterials; (3) Standardization of e-textile reliability and testing. His innovations include textile-based ECG monitors, airflow sensors, and photodynamic therapy fabrics. Projects & Grants: He coordinates major EU initiatives (e.g., ETEXWeld, MAPICC 3D) and industrial collaborations with Petit Bateau and @Health. Key projects involve developing instrumented textiles for healthcare, dynamic lighting systems, and filtration monitoring. Honors: Ordre des Palmes Académiques, Chevalier (French Prime Minister Award, 2019) IPC Golden Gnome & Rising Star Awards (2021-2022) Doctor Honoris Causa (Gheorghe Asachi University, 2010) Annual PEDR Award for PhD supervision since 1995 Labs & Teams: Leads the Human Centered Design Group at GEMTEX, specializing in textile-electronics integration. The lab focuses on structural health monitoring, smart composites, and washable e-textile systems.
Professor Dinesh Kumar is a faculty member in the School of Engineering at RMIT University, specializing in Biomedical Engineering and Artificial Intelligence. He holds the role of Chair of the IEEE Biosignals and Biorobotics Conference since 2009, demonstrating leadership in interdisciplinary research. His research focuses on biomedical signal processing, medical imaging, and AI-driven diagnostics, with applications in neurology, cardiology, and telemedicine. Professor Kumar oversees projects addressing challenges like Parkinson’s disease diagnosis, cardiac arrhythmia classification, and wound assessment using advanced computational methods. His work bridges clinical and engineering domains, emphasizing practical solutions for healthcare challenges. Recent contributions include developing algorithms for ECG analysis, facial expression recognition for neurological disorders, and chatbot-based vocal screening systems. Despite no explicit mention of awards, his extensive publication record and conference leadership highlight significant scholarly impact. Professor Kumar collaborates with industry and academic partners to advance technologies such as thermal imaging for ulcers, deep learning for medical image segmentation, and wearable sensors for gait analysis. His research often involves interdisciplinary teams, reflecting a commitment to translating technical innovations into real-world healthcare tools.
Ghyslain Gagnon is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He leads research activities within the LACIME – Communications and Microelectronic Integration Laboratory, focusing on cutting-edge developments in microelectronics, sensors, and communication systems. His work bridges theoretical research and practical applications across multiple domains including health technologies, wireless communications, and quantum engineering. Education: B.Ing. from École de technologie supérieure M.Ing. from École de technologie supérieure Ph.D. from Université de Carleton Professor Gagnon's research spans several interconnected domains with emphasis on Radiofrequency circuits and antennas, Microelectronics, Wireless communications, Sensors and monitoring systems, Machine learning applications, Health technologies, and Quantum engineering. His work demonstrates a strong commitment to translating theoretical concepts into practical solutions with real-world impact, particularly in the areas of health monitoring systems and advanced communication technologies. His recent publications reveal a clear trajectory toward increasingly interdisciplinary research, combining traditional electrical engineering with machine learning, health monitoring, and quantum technologies. The trend shows growing emphasis on practical applications in automotive safety systems, wireless communications for next-generation networks, and health monitoring technologies that leverage flexible electronics and novel sensor designs. Professor Gagnon has successfully supervised numerous graduate students through their doctoral and master's research, with recent theses focusing on smart hearing protection devices, machine learning applications, energy monitoring systems, and flexible sensor technologies. His supervision record demonstrates consistent productivity and relevance to contemporary engineering challenges. He is an active member of the LACIME research laboratory, which focuses on six key areas: Functional materials, Micro- and nanofabrication processes, Conception and design of integrated circuits, Design and fabrication of hybrid components, Photonic and electronic microsystems, and Signal processing and communication. This environment provides students with access to cutting-edge tools and fosters innovation through interdisciplinary collaboration.
Shakil Mahmud is a Visiting Assistant Professor in the Department of Electrical and Computer Engineering at the University of Mississippi. His research focuses on medical device security, embedded systems, and hardware security for cyber-physical systems. He holds a B.S. in Electrical Engineering from Ahsanullah University of Science and Technology (2015) and a Ph.D. in Computer Science and Engineering from the University of South Florida (2023). His recent work emphasizes enhancing safety and reliability in closed-loop medical systems through biosignal modeling, hardware emulation platforms (PEP), and trojan resilience strategies. He explores design trade-offs in bioimplantable devices and efficient implementations of AI architectures on constrained platforms. Key research themes include FPGA security, IoT medical device reliability, and false alarm mitigation in IoMT systems. His publications span topics like hardware obfuscation, real-time biomedical signal processing, and neural network optimization for embedded systems.
Jennifer Grandits is a Principal Lecturer in the Department of Psychology at Clemson University, affiliated with the College of Behavioral, Social and Health Sciences. She holds a PhD in Developmental Psychology from the University of Connecticut (2013), along with a Quantitative Research Methods Certificate, MA in Developmental Psychology (2010), and dual BA degrees in Psychology and Sociology from the University of Virginia (2007). Her research focuses on autism spectrum disorder interventions, implicit biases in healthcare, and aging workforce adaptation. She teaches courses in experimental psychology and lifespan development. Key research themes include sensory-based interventions for autism, cross-cultural stigma analysis, and leveraging machine learning for predictive modeling in health contexts. Her work bridges developmental psychology with practical applications in education and clinical settings. Expertise areas: Neurodiversity, child development, applied statistics Recent projects involve collaborations with autistic communities in curriculum design Teaching responsibilities include foundational psychology courses and advanced lifespan development studies. Her CV highlights contributions to inclusive education programs and technology adoption initiatives for older adults.
Hamid Nawab is a Professor in the Department of Electrical and Computer Engineering at Boston University, with an affiliated appointment in the Department of Biomedical Engineering. He holds a PhD from MIT (1982) and has been recognized for exceptional teaching, including the College of Engineering inaugural Teaching Excellence in the Core Curriculum Award (2025) and multiple ECE Department Excellence in Teaching Awards. His research focuses on computational signal processing, applied artificial intelligence, and biomedical signal analysis, particularly in EMG and patient activity monitoring. He has taught courses such as Signals and Systems, Digital Signal Processing, and graduate teaching seminars. His work integrates signal processing with biomedical applications, including Parkinson’s disease monitoring via wearable sensors and EMG signal decomposition. He has authored influential texts like Signals and Systems and contributed to over 50 peer-reviewed publications. Awards include Fellow of the American Institute for Medical and Biological Engineering (2006) and the Metcalf Award for Excellence in Teaching (1993). His advising and grants emphasize interdisciplinary engineering education and biomedical signal processing. Collaborations span clinical and academic institutions, focusing on translational research in healthcare technology.
Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.
Greg Bashford is Professor and Biomedical Engineer Chair at UNL, leading graduate programs in biomedical engineering. His research develops ultrasound-based diagnostic methods for noninvasive blood flow measurement, neurosonology, and tissue analysis. Key innovations include transcranial Doppler techniques and speckle-pattern analysis for hemodynamics. Research focuses: Noninvasive vascular monitoring and transcranial Doppler Ultrasound-based tendon/muscle micromorphology Thermal imaging for physiological thresholds Honored with Holling Teaching Award (2016) and Dinsdale Faculty Award (2005), he holds patents in ultrasound imaging and single-molecule detection. Teaches biomedical signal analysis and medical imaging systems.
Madhav Erraguntla is a Teaching Professor of Industrial & Systems Engineering at Texas A&M University , affiliated with the TEES Center for Remote Health Technologies and Systems . He holds the Mike and Sugar Barnes APT Faculty Fellow title. His research focuses on applying machine learning and AI to healthcare and supply chain management, particularly in diabetes, wearable sensor technologies, and predictive modeling. With over 25 years of industry experience, Dr. Erraguntla has contributed to analytics at AT&T (smart home technologies) and i2 Technologies (retail CRM systems). He leads projects funded by DoD, HHS, and NASA, including national blood inventory surveillance systems. He is a Professional Engineer in Texas and a member of the Institute of Industrial and Systems Engineers (IISE). Education : Ph.D., Industrial Engineering, Texas A&M University (1996); M.Tech., Industrial Engineering, NITIE, India (1989) Key Projects : SBIR grants, mosquito population modeling, diabetes management algorithms, and wearable sensor development His work bridges healthcare innovation and engineering, emphasizing real-world applications in diabetes, emergency hospital management, and public health surveillance. Recent research highlights include AI-driven glucose forecasting, hypoglycemia detection systems, and environmental impacts on disease vectors like Zika virus transmission.
Dr. Shideh Kabiri Ameri serves as Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, where she joined in September 2018 after completing postdoctoral research at the University of Texas at Austin. Her interdisciplinary expertise bridges nanomaterials engineering and biomedical applications, with particular focus on developing imperceptible wearable sensors for continuous health monitoring. Her educational foundation includes: PhD in Electrical Engineering (2015) from Tufts University Master's and Bachelor's degrees in Physics (solid state) AS degree in Medical Laboratory Sciences Dr. Ameri's research program centers on 2D material-based electronic devices for wearable bioelectronics, human-machine interfaces (HMI), and mobile healthcare systems . Her lab pioneered graphene electronic tattoos (GETs) that achieve unprecedented skin conformity while recording high-fidelity physiological signals. Current work emphasizes ultrasoft hydrogel-based sensors that eliminate motion artifacts and enable months-long wear without skin irritation, representing a paradigm shift from conventional rigid medical devices toward truly imperceptible health monitors. Analysis of her 40+ publications reveals a strategic evolution from fundamental nanomaterial characterization toward clinically viable systems. Recent work (2021-2025) demonstrates increasing sophistication in multimodal sensing (simultaneous ECG/EEG/temperature), reusable sensor architectures , and wireless power integration . The trajectory shows clear progression from lab prototypes to FDA-pipeline devices, particularly in cardiac and neurological monitoring applications. Her scientific recognition includes: Rising Star in EECE 2017 award Dr. Ameri leads the Ameri Nano Research Group which operates advanced nanofabrication facilities for developing next-generation bioelectronic interfaces. Her research has attracted significant media attention from BBC, IEEE Spectrum, and Phys.Org, highlighting real-world impact in remote patient monitoring. The group actively collaborates with medical institutions to translate innovations into point-of-care diagnostics, with current projects focusing on in-ear physiological monitors and strain-neutralized neural recording systems. The research team maintains strong industry partnerships for commercializing soft bioelectronics, with particular emphasis on creating accessible health monitoring solutions for underserved communities through low-cost manufacturing approaches.
Nuno Guimarães is a Full Professor at ISCTE – University Institute of Lisbon, affiliated with the Department of Information Science and Technology in the School of Technology and Architecture. He is also an Integrated Researcher at ISTAR-Iscte, where he leads the 'Digital Living Spaces' research group. He previously served as Dean of the Faculty of Sciences at the University of Lisbon (2003–2009), Pro-Rector (2012–2013), and Vice-Rector (2014–2018) at ISCTE-IUL, demonstrating extensive academic leadership. Aggregation in Computing, University of Lisbon (1999) PhD in Electrical and Computer Engineering, Instituto Superior Técnico, Technical University of Lisbon (1992) MSc in Electrical and Computer Engineering, Instituto Superior Técnico (1987) BSc in Electrical Engineering, Instituto Superior Técnico (1983) His research focuses on human-machine interaction, user experience, and the intersection of digital technologies with law, rights, and cultural diversity. He explores how technology can be designed to be more inclusive, ethical, and cognitively supportive, often using neurophysiological methods such as EEG to assess usability and mental workload. His recent publications (2024–2009) show a consistent trajectory in interdisciplinary research combining computer science, cognitive science, and legal informatics. Key themes include data privacy in microservices, normative systems in digital society, EEG-based usability analysis, and interactive learning environments. The works demonstrate a strong emphasis on practical tools, real-world applications, and the societal implications of digital technologies. ACM Senior Member (since 2012) Chair of the Board of ISOC (PT) (2021–2025) Guimarães has held numerous academic management roles, including Director of ISTAR-Iscte and the Master’s program in Information Systems Management. While no direct student advising list is provided, his extensive collaborations and leadership in research projects suggest active mentorship. His work bridges technical innovation with social responsibility, particularly in digital rights and inclusive design. He has led and contributed to research in areas such as interactive architecture, media façades, digital talking books, and judicial dialogue systems. His team, 'Digital Living Spaces,' focuses on creating intelligent, adaptive environments that respond to human behavior and cognitive states, integrating insights from architecture, computing, and neuroscience.
Navarun Gupta is a Professor and Chair of the Department of Electrical Engineering within the School of Engineering at the University of Bridgeport's College of Engineering, Business & Education. He holds a Ph.D. in Electrical Engineering from Florida International University (2003), complemented by an M.S. in Physics from Georgia State University (1992) and an M.S. in Electrical Engineering from Mercer University (1998). His educational credentials include: Ph.D., Electrical Engineering, Florida International University, 2003 M.S., Physics, Georgia State University, 1992 M.S., Electrical Engineering, Mercer University, 1998 Dr. Gupta's research centers on signal processing with specialized applications in audio and bio signals . His work spans: Digital Signal Processing for mobile and biomedical applications Pattern Recognition in biosignals (e.g., meditation impact on brain activity) Audio Spatialization and 3D sound modeling using anthropometric data Millimeter-wave propagation for 5G networks Biomedical case studies on electrical burns and respiratory flow dynamics Neuroscience applications in problem-solving and concentration His publication trends (2018-2020) emphasize biomedical signal classification, cloud security protocols, and wireless propagation modeling, demonstrating cross-disciplinary impact in healthcare and communications. Earlier works (2000-2016) established foundational contributions in audio spatialization, brain signal analysis, and biomedical engineering case reports. No scientific awards are documented in his current profile. Dr. Gupta has secured significant research funding including: National Science Foundation grant ($192,347, 2014) as Co-PI for teacher fellowship programs in urban schools United Illuminating Company grant ($11,020, 2018) as Co-PI for energy loss analysis Department of Education grant (2014) as Co-PI for aerospace/hydrospace curriculum development ENGAGE mini-grant ($2,000, 2013) as PI for engineering education initiatives As Department Chair, he leads interdisciplinary collaborations in biomedical signal processing and wireless communications, with research directly impacting healthcare monitoring systems, audio engineering, and electrical safety standards through industry partnerships.
Charlotte Fooks is a Research Assistant at the Centre for Industrial Electronics , Institute of Mechanical and Electrical Engineering, University of Southern Denmark. Her work focuses on biosignal analysis, vibroacoustic stimulation, and stress assessment. Research Output: 2 peer-reviewed publications (2024) investigating vibroacoustic therapy's effects on stress metrics using speech and physiological signals Key Tools: Electrocardiogram (ECG), electroencephalogram (EEG), Perceived Stress Scale, parasympathetic activity measurements Her research combines biomedical signal processing with human stress assessment to evaluate non-invasive wellness interventions. Recent studies analyze vibroacoustic sound massage through speech biosignals and quantify its impact on physiological stress markers. Collaborative work with Dr. Niebuhr demonstrates measurable improvements in stress parameters through vibroacoustic interventions, contributing to emerging physiological monitoring and stress management technologies.
Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.
