جست‌وجوی استاد و پژوهشگر

Halleh B. Balchمشاهده پروفایل

استادیار

• Nanophotonics
• Environmental Sustainability
• Climate Change Impact Analysis
• +۳ مورد دیگر

Halleh B. Balch is an Assistant Professor of Oceans at Stanford University's Doerr School of Sustainability, joining in Summer 2025. She holds a PhD from UC Berkeley (2019) and undergraduate degrees in physics and literature from Swarthmore College (2012). Her research focuses on nanophotonics for ocean sustainability, including real-time detection of harmful algal blooms and environmental DNA (e-DNA) analysis. She leads the Balch Lab, which develops optical sensors for marine monitoring in collaboration with institutions like MBARI and NOAA. Major awards include the HHMI Hanna H. Gray Fellowship and NSF Ocean Sciences Postdoctoral Fellowship. Her work spans interdisciplinary fields like quantum optics, nanomaterials, and climate science. Key collaborations include projects on graphene-based electric field sensors and nanophotonic environmental sensors. Research interests include: nanoscale light-matter interactions, marine microbial metabolism, and bioelectric field imaging. Current projects involve in situ sensors for autonomous underwater vehicles and high-throughput e-DNA detection using silicon nanophotonics.

• Behavioral Neuroscience
• Neuroscience
• Learning and Memory
• +۳ مورد دیگر

Brian Smith is a Professor at Arizona State University (ASU), affiliated with the School of Life Sciences and the Center for Evolution and Medicine. His research focuses on behavioral neuroscience, particularly learning and memory systems in insects and mammals, with applications to neurodegenerative diseases like Alzheimer's and Parkinson's. He investigates how animals use olfactory cues to predict environmental events, combining behavioral studies with electrophysiological, imaging, and computational techniques. Education : Ph.D. in Neuroscience from the University of Kansas (1985). Research Interests : Smith explores how environmental contaminants (e.g., fungicides, heavy metals) impact learning and memory in pollinators like honey bees. His work bridges molecular neuroscience, behavioral ecology, and computational modeling to understand neural mechanisms underlying olfactory processing and decision-making. Grants & Collaborations : Lead or co-PI on multiple NSF, NIH, and international grants (e.g., Ideas Lab Collaborative Research on olfactory coding, NIH-funded studies on dopamine receptors in honey bees). He also collaborates on projects integrating neurotechnology (e.g., virtual odor delivery systems) and environmental policy. Labs & Teams : Directs the Social Insect Research Group, focusing on collective behavior and cognitive ecology. Active in interdisciplinary initiatives like the Interdisciplinary Graduate Program in Neuroscience at ASU.

Preben Kidmoseمشاهده پروفایل

استاد

• Biomedical Engineering
• Electrophysiology
• Electroencephalography (EEG)
• +۶ مورد دیگر

Preben Kidmose is a Professor at Aarhus University, affiliated with the Department of Electrical and Computer Engineering and Biomedical Engineering under AU Engineering. He is a pioneer in ear-EEG and leads the Center for Ear-EEG and the Bioelectrical Instrumentation and Signal Processing research group, which operates within the Neurotechnology Lab. His research focuses on biomedical instrumentation, electrophysiology, and biomedical signal processing, particularly leveraging EEG data. He develops machine learning algorithms for physiological signals and designs wearable biomedical devices and medical systems. His work spans applications in sleep monitoring, auditory attention, hypoglycemia detection, and neurodegenerative disorders. While no explicit scientific awards or student mentees are listed in the provided text, his projects include significant initiatives like the Ear-EEG Sleep Monitor (2017–2021), Sleep after Stroke (2020–2024), and ongoing studies on cognitive impairment and neurodegenerative diseases. His lab explores system engineering solutions for medical devices and applies EEG/signal processing to clinical challenges such as Alzheimer’s and epilepsy research.

• Neurostimulation
• Microelectronic Implants
• Bioelectronics
• +۵ مورد دیگر

Dr. Bruce Towe is a Professor in the Department of Bioengineering at Arizona State University (ASU). His primary research focuses on neurostimulation, microelectronic implants, bioelectronics, and biomedical instrumentation, supported by grants from NASA, NIH, NSF, and other organizations. He has pioneered technologies in wireless neural recording systems and ultrasound-powered biotelemetry, with a recent emphasis on transferring ASU-developed neurostimulation technologies to small businesses. Education: Ph.D. in Bioengineering from Penn State University. Research Interests: Includes microscale neural implants, bioelectronic instrumentation, biosensors, medical ultrasound, and biomedical device design. He actively participates in neuroengineering and medical imaging emphases within the department. Teaching: Courses include BME-413 Biomedical Instrumentation, BME-423 Biomedical Instrumentation Lab, BME-522 Biosensors, and BME-566 Medical Imaging. Grants & Awards: Over 20 funded projects since 1985, including NIH-NINDS support for wireless ultrasound biotelemetry and NSF grants for multi-channel neuroelectrode systems. Notable collaborators include NASA, Mayo Clinic, and the Whitaker Foundation. Service: Served on NIH Neurotechnology Study Sections, as an Associate Editor for IEEE Transactions on Biomedical Engineering, and chaired NASA review panels. Active in departmental committees at ASU since 2002.

Iasonas Triantisمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Medical Devices
• Bioimpedance
• +۷ مورد دیگر

Dr. Iasonas Triantis , a Senior Lecturer at City St George's, University of London , leads the Targeted Therapy Technology Research Group in collaboration with the School of Health & Psychological Sciences. His work bridges Biomedical Engineering and Healthcare Technology , focusing on neural interfaces , bioimpedance , and electromagnetic stimulation for applications in diabetes , wound healing , and peripheral arterial disease , while extending bio-interfacing methods to agricultural sustainability . PhD in Electronic Engineering (Biomedical Microelectronics), University College London (2005) MEng in Electronic Engineering, University of Manchester (2000) His research spans medical device development for diagnostics and therapy, incorporating finite element modeling for sensor optimization and implantable/wearable systems . Notable projects include: High-frequency bioimpedance circuits (up to 3 MHz) Adaptive electrode arrays for nerve stimulation Dielectric spectroscopy in microfluidic systems £1.4M+ research funding from NIHR , UKRI , and industry partners Recent publications highlight expertise in: Soil sensor dielectric theory (2025) Lithium monitoring systems for psychiatric care (2019-2022) Neural amplifier architectures (2004-2011) Sensor error correction in clinical environments (2017-2024) Professional recognitions include: Royal Academy of Engineering Industrial Fellowship (2023) IEEE Senior Membership (2002–present) Co-inventor on three patents in neural interfacing and plant monitoring

Nivedita Aroraمشاهده پروفایل

استادیار

• Sustainable Computing
• Materials Science
• Computer Science
• +۷ مورد دیگر

Nivedita Arora is the Allen K. and Johnnie Cordell Breed Junior Professor of Design and Assistant Professor in the Departments of Electrical and Computer Engineering and Computer Science at Northwestern University's McCormick School of Engineering. She directs the VAK Sustainable Computing Lab, focusing on sustainable computational materials, energy harvesting, and ubiquitous computing systems. Her research integrates computer science, materials science, and environmental engineering to create eco-friendly technologies for climate change mitigation, smart infrastructure, and wildlife monitoring. Education: PhD (Computer Science, Georgia Tech), MS (Human-Computer Interaction, Georgia Tech), BS (Information Technology, Netaji Subhas Institute). Research Interests: Sustainable Computational Materials, Biodegradable IoT, Energy-Aware Quantum Computing, and Privacy in Smart Devices. Her lab emphasizes a sustainability-first approach across material production, system operation, and end-of-life disposal. Awards: ACM Dissertation Award (2023), Gaetano Borriello Award (2021), Fast Company Design Honoree (2021), and multiple best paper awards at ACM conferences. Grants & Mentoring: Secured over $1M in grants as PI, including funding for quantum sustainability and biodegradable sensors. Advised 15+ graduate/undergraduate researchers across materials science, electrical engineering, and computer science. Labs/Teams: VAK Sustainable Computing Lab (transdisciplinary team focused on eco-friendly computing innovations).

Graham Healyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Brain-Computer Interfaces
• Eye-Tracking Systems
• +۳ مورد دیگر

Graham Healy is Assistant Professor and COMSCI Programme Board Chair at Dublin City University's School of Computing. His research develops hybrid human-computer interaction systems using bioelectric signals (EEG), eye-tracking, and machine learning. Current projects include the CASTLE multimodal dataset, AMBER BCI dataset for naturalistic settings, and DERCo EEG-reading comprehension corpus. Dr. Healy creates interactive retrieval systems like VEAGLE (eye gaze-assisted video browsing) and LifeInsight (lifelog search engine), winning competitive evaluations at Video Browser Showdown and Lifelog Search Challenge events. His neuroergonomics research investigates pre-stimulus EEG for predicting driver reaction times, while health informatics projects develop machine learning models for early gestational diabetes prediction using electronic health records. With PhD expertise in brain-computer interfaces from DCU, Dr. Healy's work spans experimental neuroscience, information retrieval, and clinical applications. Recent publications address reproducibility challenges in medical AI and validate diagnostic coding in electronic health systems. His NeuroScore framework evaluates GAN performance using neural responses, advancing quality assessment in synthetic media.

Anna Plaksienkoمشاهده پروفایل

پژوهشگر ارشد

• High-dimensional statistics
• Omics data integration
• Multi-omics analysis
• +۴ مورد دیگر

Dr. Anna Plaksienko is a Research Fellow in High-dimensional Statistics at the University of Oslo's Institute of Basic Medical Sciences, Faculty of Medicine. Her work focuses on statistical methods for omics data integration, particularly in multi-source high-dimensional regression and graphical models. She develops computational tools like the methyLImp2 and jewel R packages for missing value imputation and joint network estimation. Education: PhD in Mathematics (2021) - Gran Sasso Science Institute, Italy BSc in Mathematics (2016) - Novosibirsk State University, Russia Research Interests: She explores differential network estimation, stability selection, and error control in omics data (RNA-Seq, methylation, lipidomics). Her methods aim to uncover biological insights from multi-omics integration and high-dimensional datasets. Labs/Teams: She is part of the High-dimensional Statistics research group at the Institute of Basic Medical Sciences, collaborating on projects involving statistical methodology and computational biology.

Grant A. McCallumمشاهده پروفایل

عضو هیئت علمی

• Peripheral Nerve Interfaces
• Neural Recording Systems
• Implantable Biotelemetry Devices

Grant A. McCallum serves as a Research Assistant Professor in the Department of Biomedical Engineering at Case Western Reserve University, with joint affiliations at the Neural Engineering Center and School of Medicine. He holds a Ph.D. in Electrical Engineering from Case Western Reserve University (2011) and brings industry experience from Texas Instruments and nVidia as a Senior ASIC Design Engineer. His research advances neural engineering technologies, focusing on: Peripheral nerve interfaces for bidirectional communication Low-noise neural recording systems for precise signal acquisition Implantable biotelemetry devices for chronic physiological monitoring His recent publications (2017-2021) demonstrate consistent focus on chronic neural interfaces, particularly exploring autonomic nervous system interactions, tumor neurophysiology, and carbon nanotube electrode innovations. This work bridges neural engineering, oncology, and materials science. Dr. McCallum leads research at the Neural Engineering Center, developing next-generation neural interfaces and collaborates with clinical researchers for biomedical applications.

Afshin Izadianمشاهده پروفایل

دانشیار

• Energy Systems
• Energy Conversion
• Control Systems
• +۳ مورد دیگر

Afshin Izadian is an Associate Professor of Electrical Engineering Technology at the Purdue Polytechnic Institute, Purdue University. His research spans energy systems, nanotechnology, control systems, and bioelectric applications. He has contributed extensively to renewable energy conversion, digital microfluidics, and biomedical nanoparticle technologies. Education: Ph.D. in Electrical Engineering (West Virginia University, 2008), MS in Electrical Engineering (Iran University of Science and Technology, 2000), Postdoc at UCLA (2009). Research Interests include: Energy Systems: Wind turbines, hybrid energy storage, and microgrids. Nanotechnology: Dielectric nanoparticles for artificial retinas and toxicity analysis. Control Systems: Fuzzy predictive control and robust sliding mode strategies. Digital Microfluidics: Adaptive control for droplet dispensing. Publications highlight advancements in: Wind energy drivetrains and power electronics. Nanoparticle-mediated retinal therapies. Fundamental circuit analysis and educational materials. Model predictive control for nonlinear systems.

• Biophysical Mechanisms
• Agricultural Technologies
• Bioelectrical Signaling
• +۴ مورد دیگر

Dr. Ivan Sili is a Postdoctoral Research Associate at the University of Technology Sydney (UTS), affiliated with the School of Mechanical and Mechatronic Engineering and the Centre for Audio, Acoustics and Vibration (CAAV). His research focuses on biophysical mechanisms, particularly electroreception in plant-pollinator communication using native Australian stingless bees. He explores bioelectrical signaling in ecological systems and applies IoT technologies to agricultural and biomedical challenges. Dr. Sili holds a BSc and MSc in Electrical Engineering from Tavria State Agrotechnological University (Ukraine) and a PhD in Engineering Science from Kharkiv Petro Vasylenko National Technical University of Agriculture. His work spans interdisciplinary fields including IoT-enabled microbial cultivation systems, materials engineering for steel alloys, and assistive technologies for disability support. His recent publications emphasize IoT integration in biotechnology, materials science, and biomedical engineering. Notable projects include a UV-C disinfecting mobile robot, an automated microbial monitoring system, and a tensile sensor glove for speech-impaired individuals. Dr. Sili teaches the course 'Embedded Mechatronics Systems' at UTS and collaborates with international teams. He is fluent in English, Ukrainian, and Russian, with expertise in peer review and technical writing. His research labs include the CAVV at UTS, focusing on audio and vibration engineering applications. Ongoing projects aim to advance sustainable technologies and ecological bioelectrical signaling studies.

Stewart Smithمشاهده پروفایل

مدرس

• Bioelectronics
• Microsystems Technology
• Biosensors
• +۳ مورد دیگر

Dr. Stewart Smith is a Lecturer in Electronics and Bioengineering at the University of Edinburgh's School of Engineering, based at the Scottish Microelectronics Centre. He serves as Deputy Director of Learning & Teaching - Student Experience and coordinates fourth-year Electronics and Electrical Engineering programs. His academic qualifications include a PhD from the University of Edinburgh focused on semiconductor test structures and a B.Eng. in Electronics and Electrical Engineering (Microelectronics). Dr. Smith's research explores microelectronics and microsystems technology for bioelectronic interactions with biological systems, including dielectrophoresis, biosensors, and bioimpedance measurements. He develops 'Smart Microsystems' integrating novel technologies with integrated circuits and designs test structures for characterizing new materials and processes. Current projects include biologically driven carbon dioxide removal and implantable microsystems for personalized anticancer therapy. His publications demonstrate consistent innovation in microfabrication techniques, electrochemical sensors, and energy harvesting systems. Recent trends emphasize implantable medical devices, advanced lithography methods, and cellular monitoring technologies, reflecting strong interdisciplinary collaboration between engineering and biomedicine. Publications frequently incorporate both experimental and numerical approaches. Dr. Smith leads the IMPACT (Implantable Microsystems for Personalised Anti-Cancer Therapy) research program and supervises four PhD students working on bioelectronic interfaces, microfluidic devices, smart sensors for extreme environments, and rapid pathogen detection. He teaches courses in biosensor technology, microelectronics, and digital systems design.

Alberto Mazzoniمشاهده پروفایل

دانشیار

• Neuroengineering
• Neural Dynamics
• Basal Ganglia Dysfunction
• +۷ مورد دیگر

Alberto Mazzoni is an Associate Professor and Head of the Computational Neuroengineering Lab at the BioRobotics Institute of Scuola Superiore Sant'Anna. His work focuses on neural engineering, motor disorders, and neuroprosthetics. Key affiliations include collaborations with GALVANI and the NEBIAS project. Education: PhD in Neurobiology (2007, SISSA/ISAS), MSc in Theoretical Physics (2002, University of Pisa). Post-doctoral research included roles at the Institute for Scientific Interchange (Torino) and Istituto Italiano di Tecnologia. Research interests center on basal ganglia dysfunction in Parkinson's and dystonia, sensory processing in neuroprosthetics, and computational models of neural systems. Notable projects include DBS efficacy studies, stroke recovery prediction, and Alzheimer's disease modeling. His lab develops bioelectronic solutions for movement disorders and sensory restoration. Collaborations span clinical neuroscience, robotics, and neuromorphic engineering. Over 100 peer-reviewed publications demonstrate expertise in neural dynamics, computational modeling, and translational neurotechnology. Grants and funding support work on neuroprosthetics, cognitive decline prediction, and personalized brain modeling. Ongoing efforts explore machine learning applications for early disease detection and adaptive neural interfaces.

• Biomedical Signal Processing
• Digital Biomarkers
• Medical Sensor Systems
• +۳ مورد دیگر

Prof. Dr. Reto Wildhaber is a Professor for Digital Biomarkers and Signal Processing at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), School of Life Sciences. He holds a dual doctorate (Dr. sc. ETH and Dr. med.) and serves as a Senior Researcher at the Signal and Information Processing Laboratory (ISI) at ETH Zürich. His academic roles include lecturing at the Institute for Medical Engineering and Medical Informatics, focusing on biomedical signal processing and medical device development. Education: PhD in Signal and Information Processing (Dr. sc. ETH), ETH Zürich (2013), awarded ETH Medal 2019 Medical Doctorate (Dr. med.), University of Zürich (2011) Electrical Engineering Degree from Fachhochschule Rapperswil (2002) Research Interests: Model-based signal processing, digital biomarkers, medical sensor systems, and clinical trials for medical devices. His work emphasizes ECG analysis, cochlear implantation, coronary stenosis assessment, and wearable medical technologies. Publications Trends: Focus on real-time signal analysis in cardiology and electrophysiology, with contributions to ECG-based diagnostics, cochlear implant optimization, and medical device validation. His work bridges algorithm development and clinical applications, emphasizing translational research. Awards: ETH Medal 2019 (best thesis award, ETH Zürich) and Zellweger Preis (awarded for thesis at Fachhochschule Rapperswil). Projects: Co-developed open-source tools like lmlib.ch (model-based signal processing library) and CLabUZH (cardiopulmonary simulation software for education). Labs/Teams: Active in the Institute for Medical Engineering and Medical Informatics (FHNW) and the Signal and Information Processing Laboratory (ETH Zürich).

Agis Iliadisمشاهده پروفایل

استاد

• Nanotechnology
• Semiconductor Devices
• CMOS IC Technology
• +۵ مورد دیگر

Agis Iliadis is a Professor of Electrical and Computer Engineering at the University of Maryland, College Park, and Director of the Semiconductor Nanotechnology Research Laboratory. He holds affiliations with the Maryland NanoCenter and serves as a Senior Member of IEEE, Distinguished Lecturer in IEEE-EDS, and on multiple technical committees. His research focuses on nanotechnology, semiconductor devices, CMOS IC technology, wide band-gap semiconductors (e.g., ZnO, SiC), sensors, and electromagnetic interference (EMI) mitigation. Key contributions include self-assembled nanostructures, Schottky contacts, and nanocomposite materials integrated with CMOS processes. Education: Ph.D. and M.Sc. in Electrical Engineering from UMIST (UK). Research Labs: Semiconductor Nanotechnology Research Laboratory. Notable Awards: R.F. Bunshah Award (2004), Best Paper Award for biosensor research (2006), and multiple IEEE recognitions. Research Interests: Elemental/compound semiconductors, light-emitting processes, ohmic/schottky metallization, epitaxial growth. Recent work includes CMOS-compatible nanosensors, GaN betavoltaic devices, and quantum dot noise analysis. Publications: Over 100 peer-reviewed articles in journals like IEEE Trans. Electromagnetic Compatibility , Journal of Applied Physics , and Biosensors and Bioelectronics . Recent trends emphasize RF sensor design, EMI effects on CMOS circuits, and biofilm monitoring via SAW sensors. Grants & Outreach: Organized international conferences (e.g., ISDRS 2001, 2016), advised graduate students on nanotechnology and semiconductor topics, and contributed to MERIT projects on optical communication systems. Labs/Teams: Leads interdisciplinary teams in microelectronics, collaborating with institutions like SPIE and ECS. Active in industry partnerships for sensor and energy-harvesting applications.