Non-Invasive Bioinstrumentation Professors and Supervisors

Andy Adlerمشاهده پروفایل

استاد

Carleton UniversityCanada

Andy Adler is a Professor and Canada Research Chair (Tier II) in Biomedical Engineering at Carleton University's Faculty of Engineering and Design, Department of Systems and Computer Engineering. He specializes in Medical Image Processing, Electrical Impedance Tomography (EIT), and Biometrics. His research focuses on improving lung function monitoring, physiological signal analysis, and biometric system design. Adler teaches advanced courses like SYSC 4203 (Biomedical Instrumentation) and BIOM 5202 (Medical Image Processing), emphasizing hands-on laboratory work and project-based learning. His scientific contributions include over 80 peer-reviewed articles, with recent work on EIT applications in critical care, equine medicine, and pulmonary hypertension. Notable achievements include developing novel EIT techniques for lung ventilation/perfusion analysis and advancing biometric encryption standards. He advises graduate students in EIT system design and biomedical instrumentation, and collaborates with industry on medical device innovation. His lab, equipped with advanced imaging and signal acquisition systems, supports interdisciplinary research in bioinstrumentation and medical physics.

پروفایل رسمی دانشگاه

Wilbert Jesus Villena Gonzalesمشاهده پروفایل

پژوهشگر ارشد

University of QueenslandAustralia

Dr Wilbert Jesus Villena Gonzales is a Research Fellow at the School of Electrical Engineering and Computer Science , The University of Queensland. His work bridges biomedical engineering and microwave engineering , focusing on electromagnetic sensing and dielectric spectroscopy for medical diagnostics. Education: Bachelor of Electronic Engineering, Pontificia Universidad Católica del Perú Licentiate of Electronic Engineering, Pontificia Universidad Católica del Perú Masters (Coursework) of Electrical Engineering, The University of Queensland Certificate of Electrotechnology Radar Systems, Massachusetts Institute of Technology Doctor of Philosophy (PhD) in Electrical Engineering, The University of Queensland His research explores microwave and millimetre-wave technologies for monitoring blood analytes and glucose levels. Key contributions include open-ended waveguide spectroscopy and non-invasive glucose sensing methods. Recent work (2025) focuses on millimetre-wave blood spectroscopy, while older projects (2011) address RF amplifier design for particle accelerators. Current Funding: NHMRC IDEAS Grant (2025-2029) for minimally-invasive electromagnetic haemoglobin sensing

پروفایل رسمی دانشگاه

Taner Akkinمشاهده پروفایل

استاد

University of Minnesota Twin CitiesUnited States

Taner Akkin is a Professor in the Department of Biomedical Engineering at the University of Minnesota, where he leads the Akkin Lab. His research focuses on developing non-contact optical imaging tools for high-resolution structural and functional analysis of biological tissues, with emphasis on neural applications such as brain tractography and action potential detection. Key techniques include polarization-sensitive optical coherence tomography (OCT) and interferometry, enabling minimally invasive medical applications. Education: Postdoctoral Fellow at Harvard Medical School & Wellman Center for Photomedicine (2004-2005), PhD in Electrical & Computer Engineering (University of Texas at Austin, 2003), MSc/BSc in Electrical Engineering (Çukurova University, Turkey). Research Interests: The Akkin Lab specializes in: Neural imaging, optical coherence tomography, polarization-sensitive interferometry, brain mapping, tissue biomechanics, and nanoscale optical path length detection. Research thrusts include depth-resolved neural activity imaging, cerebellar mapping, and polarization-maintaining fiber technologies for OCT. Teaching: BMEn 3211 Bioelectricity and Bioinstrumentation BMEn 3215 Bioelectricity and Bioinstrumentation Lab BMEn 5421 Introduction to Biomedical Optics Lab & Team: Directs graduate students and collaborators in neurophotonics, with active projects on optical tractography, neural action potential detection, and polarization-based sensors. Former members include 11 PhD/MSc graduates.

پروفایل رسمی دانشگاه

Douglas A. Christensenمشاهده پروفایل

استاد

University of UtahUnited States

Professor Douglas A. Christensen holds a dual appointment in the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering at the University of Utah. With academic training in Electrical Engineering (BS from Brigham Young University, 1962; MS from Stanford, 1963; PhD from University of Utah, 1967), he has been a faculty member since 1971 and completed postdoctoral work in Biomedical Engineering at the University of Washington (1972-1974). His research program focuses on wave-based bioengineering applications, particularly therapeutic ultrasound and optical biosensors , with methodological expertise in acoustic modeling , thermal simulations , and MRI-guided interventions . Key contributions in ultrasonic bioinstrumentation include the 1988 textbook Ultrasonic Bioinstrumentation and co-authorship of Basic Introduction to Bioelectromagnetics (1999) and Introduction to Biomedical Engineering, Biomechanics and Bioelectricity (2009). Recent research (2023-2024) demonstrates in vivo ultrasound simulation validation using hybrid angular spectrum methods and CSF influence analysis in transcranial focused ultrasound treatments. Career awards include ECE Chair's Award (2022), Lifetime Achievement Award (2020), and multiple teaching honors since the 1990s, including University Distinguished Teaching Award (2004). His NIH-funded research (1996-2012) on MR-guided HIFU and 3D thermometry has produced validated simulation tools for skull aberration correction and thermal diffusivity estimation.

پروفایل رسمی دانشگاه

Priyanka Shah-Basakمشاهده پروفایل

استادیار

Medical College of WisconsinUnited States

Priyanka Shah-Basak, PhD, is an Assistant Professor in the Department of Neurology at the Medical College of Wisconsin. Her research focuses on optimizing neurorehabilitation approaches for cognitive disorders in acquired and neurodegenerative diseases, particularly using non-invasive brain stimulation (e.g., TMS, tDCS) combined with advanced neuroimaging (fMRI, MEG). She is a member of the Neuroscience Research Center and the Wisconsin Institute of NeuroScience (WINS). Education: PhD, Biomedical Engineering, Neurology and Neurosciences, Rutgers Graduate School of Biomedical Sciences, 2012 MS, Biomedical Engineering, Bioinstrumentation and Signal Processing, New Jersey Institute of Technology, 2008 BS, Biomedical Engineering, Bioinstrumentation, New Jersey Institute of Technology, 2006 Research Interests: Neurorehabilitation strategies for post-stroke aphasia, neurophysiological bases of non-invasive brain stimulation, and biomarkers for neuroplasticity. Her work integrates clinical neuroscience, engineering, and translational research to improve treatment outcomes for patients with aphasia and primary progressive aphasia (PPA). Publications: Dr. Shah-Basak has authored over 30 peer-reviewed articles, with recent work emphasizing genetic and neurophysiological predictors of response to stimulation therapies and novel approaches to targeting language recovery. Her studies highlight the role of BDNF gene polymorphisms and EEG/fMRI biomarkers in guiding personalized treatment strategies. Awards: Albert Dorman Honor’s College Scholarship (2003–2006) Tau Beta Pi Engineering Honor Society (2005) American Heart Association (2013–present) Canadian Partnership for Stroke Recovery (2017–present) Collaborations and Labs: She collaborates with institutions like the Wisconsin Institute of NeuroScience (WINS) and the Neuroscience Research Center. Her lab develops and tests novel neuromodulation protocols for language rehabilitation, emphasizing translational applications in clinical settings.

پروفایل رسمی دانشگاه

Steve Conollyمشاهده پروفایل

استاد

University of California, BerkeleyUnited States

Steve Conolly is the Montford G. Cook Professor of Bioengineering and Professor of Electrical Engineering & Computer Sciences at the University of California, Berkeley. He leads the Conolly Lab, renowned for pioneering advancements in Magnetic Particle Imaging (MPI), including the world’s highest spatial resolution MPI scanner, projection MPI technology, and 3D Projection-Reconstruction MPI systems. His research focuses on developing novel biomedical imaging modalities, particularly leveraging magnetic nanoparticles for applications in cell tracking, vascular imaging, and cancer diagnostics. His lab’s innovations span hardware design, nanoparticle optimization, and clinical translation of MPI for non-invasive diagnostics. Key research areas include superparamagnetic and superferromagnetic nanoparticle characterization, MPI system optimization, and theranostic platforms combining imaging with therapies like magnetic hyperthermia. Publications highlight breakthroughs in MPI resolution, nanoparticle behavior under thermal and magnetic fields, and clinical applications such as gastrointestinal health monitoring, CAR-T cell tracking, and stroke imaging. Conolly’s work bridges electrical engineering, bioengineering, and clinical medicine, advancing MPI toward widespread medical adoption.

پروفایل رسمی دانشگاه

Douglas Christensenمشاهده پروفایل

استاد

University of UtahUnited States

Douglas Christensen is a Professor in both the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering at the University of Utah. His academic career spans over five decades, beginning with a Ph.D. in Electrical Engineering from the University of Utah in 1967. He has authored or co-authored multiple books, including Ultrasonic Bioinstrumentation and Basic Introduction to Bioelectromagnetics . Education: BS, Electrical Engineering, Brigham Young University (1962) MS, Electrical Engineering, Stanford University (1963) PhD, Electrical Engineering, University of Utah (1967) Postdoctoral Fellowship, University of Washington (1972-1974) Research Interests: Therapeutic ultrasound Optical biosensors Acoustic radiation force Phase aberration correction 3D MR thermometry Medical imaging systems Ultrasound wave propagation Scientific Awards: Fellow, American Institute for Medical and Biological Engineering (2001) Distinguished Teaching Award, University of Utah (2004) Lifetime Achievement Award, ECE Department (2020) ECE Chair's Award (2022) His recent publications focus on improving transcranial ultrasound simulations through skull geometry modeling, optimizing phase aberration correction for breast MRgFUS, and enhancing MR thermometry accuracy via model predictive filtering. He has secured significant NIH grants for HIFU bioengineering and transcranial MRgFUS innovations. Christensen teaches foundational courses in biomedical engineering and electrical circuits, with active roles in 2023-2024 academic terms.

پروفایل رسمی دانشگاه

Mesut Sahinمشاهده پروفایل

استاد

New Jersey Institute of Technology (NJIT)United States

Mesut Sahin is a Professor in the Department of Biomedical Engineering at the College of Engineering, New Jersey Institute of Technology (NJIT). His academic journey includes a Ph.D. in Biomedical Engineering from Case Western Reserve University (1998) and a B.S. in Electrical Engineering from Istanbul Technical University (1986). Currently, he focuses on neuromodulation of the cerebellum using transcranial AC Stimulation (tACS) and Focused Ultrasound (FUS), while developing floating microstimulators for spinal cord applications (FLAMES). His research spans neural circuits, brain injury recovery, and biomedical signal processing. Education: Ph.D., Biomedical Engineering, Case Western Reserve University (1998) M.S., Biomedical Engineering, Case Western Reserve University (1993) B.S., Electrical Engineering, Istanbul Technical University (1986) Research Interests: Mesut Sahin's work centers on neuromodulation techniques, including transcranial AC Stimulation (tACS) and Focused Ultrasound (FUS), to study cerebellar dynamics and recovery from neural injuries. He has pioneered the development of floating microstimulators for spinal cord applications (FLAMES), enabling wireless neural stimulation. His research also investigates the electrophysiological correlates of brain injuries, neural signal processing methods, and the design of biocompatible devices for chronic implantation. Key themes include neural circuit plasticity, motor control recovery, and the application of advanced technologies like carbon fiber electrodes and PDMS optical waveguides. Scientific Awards: Mesut Sahin is recognized as a Senior Member of the IEEE/EMBS since 2006, highlighting his contributions to biomedical engineering. His work spans over 100 peer-reviewed publications, three patents, and a textbook on bioinstrumentation. Mentoring: He has mentored 17 Ph.D. and 23 Master’s theses, emphasizing student training in neural engineering and biomedical device development.

پروفایل رسمی دانشگاه

Mohammad A. Ahadمشاهده پروفایل

دانشیار

Georgia Southern UniversityUnited States

Dr. Mohammad A. Ahad is an Associate Professor and Interim Department Chair in Electrical & Computer Engineering at Georgia Southern University, where he has been faculty since 2011. His research focuses on bioinstrumentation, biosensors, and biomedical signal processing, particularly in Electrical Impedance Myography (EIM) for non-invasive medical diagnostics. Education: Ph.D. Electrical and Computer Engineering, University of Tennessee, Knoxville (2007) M.S. Electrical and Computer Engineering, University of Tennessee, Knoxville (2002) B.S. Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (1998) Research Focus: Dr. Ahad's work spans biomedical instrumentation development, FPGA-based system design, and computational modeling of biological systems. His EIM research enables novel diagnostic approaches for muscle pathologies and cancer detection through finite element analysis and electrode optimization. Grant Leadership: Secured competitive funding as PI for multiple NIH and NSF projects focusing on human-robot interfaces, non-invasive instrumentation, and early cancer detection techniques using impedance methods. Teaching: Specializes in hands-on engineering education including digital design with DE2 boards, embedded systems programming, and signal processing laboratories.

پروفایل رسمی دانشگاه

Jorge Isaac Chairez-Oriaمشاهده پروفایل

دانشیار

Monterrey Institute of TechnologyMexico

Jorge Isaac Chairez-Oria is an Associate Professor in the Department of Biomedical Engineering at Tecnológico de Monterrey's School of Engineering, Campus Guadalajara. He maintains an active research program bridging biomedical engineering, neural networks, and robotic control systems with significant contributions to rehabilitation technology and sustainable manufacturing. His research focuses on neural network applications for system identification and control , particularly in constrained dynamical systems. His work spans medical rehabilitation robotics (including exoskeletons and orthotic devices), bioprinting and tissue engineering , and sustainable environmental technologies utilizing neural network approaches. Recent publications demonstrate strong interdisciplinary work connecting engineering principles with biological and medical applications. Analysis of his 2024-2025 publications reveals consistent focus on barrier Lyapunov functions, constrained state systems, and neural network identification methods applied across diverse domains from wastewater treatment to surgical robotics. His work shows particular strength in translating theoretical control concepts into practical biomedical applications. Scientific Recognition: Mexican Researcher Certification - Level 2 Dr. Chairez-Oria teaches courses in Biofluid Mechanics, Clinical Engineering, and Bioinstrumentation Systems design, integrating his research expertise into the classroom. His work aligns with multiple UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation, and Clean Water and Sanitation.

پروفایل رسمی دانشگاه