جست‌وجوی استاد و پژوهشگر

Tingwei Zhangمشاهده پروفایل

مدرس

• Electrical Engineering
• Computer Science
• Machine Learning
• +۳ مورد دیگر

Tingwei Zhang is an Instructor in the School of Electrical Engineering and Computer Science at Oregon State University, affiliated with the Department of Electrical and Computer Engineering. Holding a Ph.D. and M.S. from Oregon State University and a B.S. from Tiangong University, China, they specialize in interdisciplinary research spanning wireless communication, energy storage, and biomedical applications. Ph.D. Electrical and Computer Engineering, Oregon State University, 2024 M.S. Electrical and Computer Engineering, Oregon State University, 2020 B.S. Electrical Engineering, Tiangong University, China, 2014 Their research integrates machine learning with signal processing for wireless localization, explores advanced energy storage materials for electrochemical systems, and investigates the biological impacts of radiofrequency exposure. Recent work emphasizes the convergence of hardware optimization and algorithmic innovation in RF engineering. Publications analyze trends in energy materials, indoor positioning algorithms, and RF safety. The 2025 article on poly(ionic liquids) highlights sustainable energy storage, while the 2020 study on zebrafish development underscores interdisciplinary applications in bioelectromagnetics.

Igal Szleiferمشاهده پروفایل

استاد

• Molecular Modeling
• Biointerfaces
• Biocompatible Materials
• +۴ مورد دیگر

Igal Szleifer is a Professor at Northwestern University in the Department of Chemistry, holding the Christina Enroth-Cugell Professorship in Biomedical Engineering and affiliated with the Chemistry of Life Processes Institute (CLP). His interdisciplinary work bridges medicine, biology, chemistry, physics, and materials science through molecular modeling of biointerphases. His academic foundation includes: B.Sc. in Chemistry from Hebrew University of Jerusalem, Israel Ph.D. summa cum laude from Hebrew University of Jerusalem, Israel Professor Szleifer develops theoretical frameworks to study molecular-scale interactions between synthetic materials and biological systems. His research group focuses on predicting how molecular factors govern biocompatibility, enabling rational design of drug carriers and biomaterials. This dual approach combines fundamental understanding of interfacial phenomena with practical engineering applications, consistently through experimental-theoretical collaborations. His 2011 publications reveal dominant trends in computational biophysics and soft matter, with recurring themes in nanoparticle design, membrane biophysics, and responsive polymer systems. These works demonstrate how molecular simulations translate to macroscopic material properties, particularly in drug delivery and biosensing contexts. No specific awards are documented in the source material, though his research appears in high-impact journals including Journal of the American Chemical Society and Biophysical Journal. Professor Szleifer maintains active collaborations with experimental labs across disciplines and has supervised graduate students. His grant-supported research emphasizes predictive modeling as a tool for materials innovation, particularly in biomedical applications requiring precise molecular control. As a core member of the Chemistry of Life Processes Institute, he contributes to Northwestern's interdisciplinary ecosystem focused on chemistry-driven life sciences research.

Siddhartha Sikdarمشاهده پروفایل

استاد

• Biomechanics
• Assistive Technology
• Biomedical Imaging
• +۹ مورد دیگر

Siddhartha Sikdar is a Professor in the Department of Bioengineering at George Mason University and Director of the Center for Adaptive Systems of Brain-Body Interactions (CASBBI). His work focuses on developing wearable ultrasound imaging systems for prosthetic control and studying brain-body interactions in chronic pain, stroke, and spinal cord injury. PhD, Electrical Engineering, University of Washington (2005) MS, Electrical Engineering, University of Washington BS, Electrical Engineering, Indian Institute of Technology, Kanpur Research interests span biomechanics , neuroprosthetics , and rehabilitation engineering , with a focus on wearable ultrasound sensors and hybrid imaging techniques . His publications highlight trends in prosthetic control systems, muscle fatigue monitoring, and biomedical imaging innovations. Key scientific awards include: NSF CAREER Award Volgenau School of Engineering Rising Star Award Mason’s Emerging Researcher/Scholar/Creator Award Active grants from the National Science Foundation , National Institutes of Health , Department of Defense , and Veterans Health Administration support his research on intuitive prosthetic control and brain-body interactions. His lab (CASBBI) integrates engineering and neuroscience to address public health challenges.

Sungho Kimمشاهده پروفایل

استادیار

• Integrated Circuits
• Neuromorphic Computing
• High-Performance Computing Hardware
• +۳ مورد دیگر

Sungho Kim is an Assistant Professor at the Department of Electrical, Computer and Biomedical Engineering in the College of Engineering at the University of Rhode Island (URI). He serves as Director of the Integrated Circuit Design Laboratory (ICDL), pioneering research on integrated circuits (ICs) for harsh environments, neuromorphic computing, and readout electronics for superconducting photon detectors. His career spans roles at NASA Jet Propulsion Laboratory (JPL), Samsung Advanced Institute of Technology (SAIT), and RIKEN Quantitative Biology Center. Ph.D., Electrical Engineering, Arizona State University (2011) M.S., Electrical Engineering, Arizona State University (2008) B.S., Electrical Engineering, SungKyunKwan University (2003) His research bridges advanced IC design with applications in space telescopes, neuromorphic computing, and high-performance systems. At NASA JPL (2019-2023), he developed ASICs for far-infrared superconducting detectors, while at SAIT (2014-2019) he focused on ultra-fast neuromorphic vision sensors. His recent grants include NASA funding for superconducting photon detector readout systems (2022-2026) and ONR support for FFT accelerator development (2024-2027). The selected publications highlight his work in neuromorphic computing, dynamic vision sensors, and high-speed microelectrode arrays. These span interdisciplinary areas of Machine Learning , Neuroscience , and Biomedical Engineering . His lab at URI develops hardware solutions for extreme environments, including space applications and spiking neural networks. NASA Grant: $1,425,760 (Principal Investigator, 2022-2026) ONR Grant: $990,027 (Lead Principal Investigator, 2024-2027)

Jacob Rosensteinمشاهده پروفایل

دانشیار

• Bioelectronics
• Integrated Circuit Design
• Biosensors
• +۳ مورد دیگر

Jacob Karl Rosenstein is an Associate Professor of Engineering at Brown University , specializing in mixed-signal electronic design and bioelectronics . His research focuses on developing high-resolution, low-power interfaces to biological systems using integrated circuits and materials. Education : PhD (2012), MS (2009) in Electrical Engineering from Columbia University; ScB (2005) from Brown University. Research Interests : Bioelectronics, biosensor arrays, nanopore technology, electrochemical imaging, and molecular computation. Teaching : Courses include Digital Computing Systems (ENGN 0500), Electrical Circuits and Signals (ENGN 0520), Mixed-Signal Electronic Design (ENGN 2912K), and Topics in Bioelectronics (ENGN 2912L). Scientific Contributions include advancements in CMOS-integrated nanopore sensors, high-speed bioelectronic interfaces, and electrochemical imaging systems. His recent work involves machine olfaction, capacitance tomography, and ultrafast thermal cameras. Awards : Best Paper Award at BioCAS 2021, Best Paper Nomination at ISCAS 2025, Halpin Capstone Prize 2023. Students advised include Kangping Hu (PhD 2022), Steven (PhD candidate), Manar Incandela (extended paper 2024), and Yutong (Master’s thesis 2024). The Rosenstein Laboratory for Embedded Bioelectronics fosters interdisciplinary research between electronic systems and biological applications.

Jason E Geistweidtمشاهده پروفایل

استادیار

• Electroacoustics
• Physical computing
• Creative coding
• +۶ مورد دیگر

Jason E Geistweidt is an Assistant Professor in the Department of Media Study at the University at Buffalo's College of Arts and Sciences. His work intersects electroacoustics, physical computing, and experimental practices with a focus on digitally mediated experiences. Education: PhD in Electroacoustic Composition from Queen's University Belfast, MA in Music Technology from University of Limerick, BMusEd from Southwestern University Geistweidt's creative practice explores intimate encounters through sound art using contact microphone recordings and human voice. His telematic practice interconnects spaces via sensor arrays for ambient sonification/visualization, while generative systems employ natural language processing for text/image recontextualization. Chance operations and experimental processes define his approach, emphasizing audience activation through embodied experiences as described in John Dewey's Art as Experience . Specialties include sonic arts, networked performance, live electronics, and happenings. He designs digital tools for remote artistic projection and ambient data collection.

Derek Southwellمشاهده پروفایل

دانشیار

• Neuroscience
• Epilepsy Treatment
• Movement Disorders
• +۳ مورد دیگر

Derek Southwell is an Associate Professor of Neurosurgery, Associate Professor in Pathology, and Associate Professor in Neurology at Duke University, with additional appointments as Assistant Professor of Cell Biology and Assistant Research Professor in Neurobiology. He is a Faculty Network Member of the Duke Institute for Brain Sciences and an Affiliate of the Duke Regeneration Center. His education includes a B.S. from MIT, M.D. and Ph.D. from UCSF, and residencies at Stanford and UCSF. His research focuses on cortical inhibitory circuits, epilepsy, and movement disorders. Key interests include understanding inhibitory circuit design in humans and mice, and advancing interneuron transplantation for neural repair. Recent publications emphasize neural engineering, cell-based therapies, epilepsy interventions, and surgical innovations. Recent scientific awards include the Holland-Trice Scholarship (2022), Translating Duke Health Scholar (2018), and Whitehead Scholar (2018). He directs grants such as the NIH-funded study of inhibitory interneurons for epilepsy treatment (2024-2039) and leads the Neurobiology Training Program (2024-2029).

Aijun Songمشاهده پروفایل

دانشیار

• Underwater Acoustic Communications
• Signal Processing
• Robotics
• +۵ مورد دیگر

Dr. Aijun Song is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alabama College of Engineering. He is affiliated with the Center for Water Quality Research and the Alabama Water Institute. His work bridges engineering, environmental science, and technology, with a focus on developing innovative underwater communication systems and autonomous vehicle technologies for water monitoring applications. Dr. Song's educational background includes: Ph.D. in Electrical and Computer Engineering from University of Delaware M.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China B.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China Dr. Song's research primarily focuses on underwater acoustic communications, signal processing, and autonomous vehicle technologies. His work addresses challenges in underwater wireless communications including channel modeling, equalization techniques, and full-duplex communication systems. He has made significant contributions to the development of underwater sensor networks, acoustic transceivers, and communication protocols for autonomous underwater vehicles. His research has important applications in environmental monitoring, ocean exploration, and water quality assessment. Dr. Song's recent publications demonstrate a strong trend toward practical implementations of underwater communication technologies, with increasing emphasis on reconfigurable intelligent surfaces, energy-efficient systems, and real-world testbed validation. His work spans theoretical development, simulation, and extensive field testing in lake and river environments. The research addresses critical challenges in underwater communication including channel variability, interference cancellation, and long-range transmission. Dr. Song has received notable recognition for his work: NSF CAREER Award from the National Science Foundation (2021) Outstanding Faculty/Staff-Initiated Engagement Effort by the Council on Community-Based Partnerships at the University of Alabama (2019) Outstanding Service Award from the 8th ACM International Conference on Underwater Networks & Systems (2013) Dr. Song actively mentors students and collaborates on interdisciplinary research projects. He serves as co-principal investigator for the USGS FLOW Academy, working with Dr. Lisa Davis and Dr. Steven Burian to provide hands-on water science education. His leadership in the Tuscaloosa MATHCOUNTS program has significantly impacted local STEM education, particularly for underserved populations and female students. Dr. Song's research has been supported by significant funding including an NSF CAREER award and collaborations with the US Geological Survey. Dr. Song leads a research team focused on underwater robotics and wireless communication technologies. His lab develops and tests autonomous underwater vehicles including JaiaBots and EcoMapper systems. The team is advancing underwater swarming technologies to enhance water monitoring capabilities, with an emphasis on creating open-source, low-cost solutions for automated water data collection and rapid flood disaster response. Recent field demonstrations at the Black Warrior River and Lake Tuscaloosa showcase the practical applications of his research.

Murat Akcacayaمشاهده پروفایل

دانشیار

• Machine Learning
• Statistical Signal Processing
• Optimization
• +۵ مورد دیگر

Murat Akcacaya is an Associate Professor in the Electrical and Computer Engineering Department at the University of Pittsburgh and serves as the director of the Signal Processing and Statistical Learning (SPSL) Laboratory. He is also a Senior Member of IEEE. His research spans multiple disciplines with significant contributions to both theoretical and applied signal processing. PhD in Electrical and Systems Engineering, Washington University, 2010 MSc in Electrical and Systems Engineering, Washington University, 2010 BSc in Electrical and Electronics Engineering, Middle East Technical University, 2005 Dr. Akcacaya's research focuses on machine learning, statistical signal processing, and optimization with diverse applications. His work develops machine learning methods for human-computer interaction, human-in-the-loop systems, and assistive technologies, as well as techniques to analyze ambulatory and multimodal physiological data. He also creates cognitive systems for nonstationary environments and probabilistic models for complex physical systems. His space research aligns with these interests, particularly in physiological data analysis and cognitive systems for nonstationary environments. Analysis of his recent publications reveals a strong trend toward medical applications of signal processing and machine learning, particularly in cardiology (ECG analysis), neurorehabilitation (stroke recovery assessment), and autism research (EEG analysis). His work consistently integrates multimodal data fusion approaches, combining techniques from radar signal processing with biomedical applications. There's also a notable emphasis on practical implementation of theoretical concepts in real-world healthcare settings. Dr. Akcacaya has secured significant research funding from multiple federal agencies including the National Science Foundation (NSF), National Institutes of Health (NIH), Air Force Office of Scientific Research (AFOSR), and Department of Energy (DOE), supporting his diverse research portfolio. As director of the SPSL Laboratory, he mentors students working on cutting-edge projects at the intersection of signal processing, machine learning, and various application domains. The Signal Processing and Statistical Learning Laboratory serves as the hub for Dr. Akcacaya's research activities, providing a collaborative environment for developing innovative signal processing techniques and their applications across multiple domains including healthcare, aerospace, and human-computer interaction systems.

Amr Mahmoudمشاهده پروفایل

استادیار

• Neuromorphic Computing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Dr. Amr Mahmoud is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Pittsburgh. His work focuses on neuromorphic computing systems, machine learning, and FPGA-based accelerators for image processing and video prediction. PhD in Computer Engineering, University of Pittsburgh (2019) MSc in Engineering Physics, Cairo University (2015) BSc in Electronics and Electrical Communications Engineering, Cairo University (2011) Dr. Mahmoud’s research bridges neuromorphic computing and machine learning, particularly for biomedical and sensor applications. He designs systems leveraging memristor crossbar arrays to emulate biological neural networks, enabling energy-efficient hardware solutions for tasks like cardiac arrhythmia classification and optical sensor prediction. His recent publications highlight advancements in memristor modeling, hybrid spiking neural networks, and hardware implementations using neuromorphic architectures. Key trends include real-time biomedical diagnostics, LSTM-based sensor prediction, and crossbar array optimization for machine learning. Contact: AMM418@pitt.edu

• Computer Architecture
• Parallel Programming
• Compilers
• +۶ مورد دیگر

Martha A. Kim is an Associate Professor in the Department of Computer Science at Columbia University's School of Engineering and Applied Science. She serves as a Member of the Data Science Institute, Center Co-Chair of the Center for Computing Systems for Data-Driven Science, and Chair of the Computer Engineering Program. Professor Kim's research focuses on computer architecture with particular emphasis on the hardware-software interface. Her work develops tools and designs that help computer systems operate efficiently and intuitively, including database accelerators for energy-efficient queries, techniques for optimizing parallel software to better utilize hardware resources, and improving the versatility of specialized hardware accelerators. She leads the ARCADE Lab where she conducts research in computer architecture, parallel programming, compilers, and low-power computing. Her publication record shows consistent output at top-tier conferences including ASPLOS, MICRO, MEMOCODE, ISLPED, DAC, DaMoN, CC, and CGO, with recent work spanning video transcoding in the cloud, pipelined dataflow circuits, thermal monitoring, and database acceleration. Professor Kim has received several prestigious awards: 2013 Rodriguez Family Award 2015 Edward and Carole Kim Faculty Involvement Award 2013 NSF CAREER award 2016 Anita Borg Early Career Award She currently advises three doctoral students (Martha Barker, Thomas Repetti, and Andrea Lottarini) and has previously graduated PhD students Melanie Kambadur (2016) and Lisa Wu (2014). Her research is supported by C-FAR, DARPA, Google, Intel, and NSF. Professor Kim teaches Fundamentals of Computer Systems, Computer Architecture, and Principles and Practice of Parallel Programming courses at Columbia University. The ARCADE Lab provides opportunities for students to work on cutting-edge research in hardware-software interface optimization, with applications in energy efficiency, database acceleration, and parallel computing systems.

Emily Arnoldمشاهده پروفایل

دانشیار

• Multifunctional Structures
• Remote Sensing
• Unmanned Aerial Systems
• +۳ مورد دیگر

Emily Arnold is an Associate Professor in the Department of Aerospace Engineering at the University of Kansas, where she also serves as Graduate Program Director. Her research centers on multifunctional aerospace structures, remote sensing technologies, and unmanned aerial systems (UAS) for glaciological applications. Key trends in her recent publications highlight advancements in reconfigurable radar systems for UAS-based ice and snow sounding, wing-mounted antenna design under flight stress, and 3D-printed microwave components. She merges aerospace structural analysis with electromagnetic simulation to enhance UAV sensor performance in polar environments. NSF CAREER Award (2019) for UAS radar systems NSF MRI Grant (2022) for radar instrumentation Her work at CReSIS (Center for Remote Sensing of Ice Sheets) supports Operation IceBridge and COLDEX projects, focusing on oldest ice core exploration. She explores the intersection of structural dynamics, microwave engineering, and environmental monitoring via airborne platforms.

David Shattuckمشاهده پروفایل

دانشیار

• Circuit Analysis
• Electronics Education
• Biomedical Engineering
• +۳ مورد دیگر

David Shattuck is an Associate Professor at the University of Houston's Cullen College of Engineering and serves as Director of Evaluation, Planning, and Assessment for the Honors College. He holds a bachelor's in Engineering Science from SUNY Buffalo and a Ph.D. in Biomedical Engineering from Duke University. Education: BS Engineering Science, State University of New York, Buffalo PhD Biomedical Engineering, Duke University His research focuses on Electronics Education , with emphasis on collaborative learning tools, circuit analysis, and online textbook development. Earlier work spans Geophysics and Ultrasound Imaging , including contributions to ground-penetrating radar and speed-of-sound estimation algorithms. Recent publications highlight his educational initiatives (2005, 2003), earlier work in geophysical modeling (1995-1998), and foundational research in ultrasonic signal processing (1982-1989). Scientific Awards W.T. Kittinger Outstanding Teacher Award, Cullen College of Engineering (2006) Distinguished Service Award, Honors College Student Governing Board (2013) Career Teaching Award, University of Houston (2013) Career Teaching Award, College of Engineering (2017) Distinguished Leadership in Teaching Excellence Award (2020) William A. Brookshire Teaching Excellence Award (2020) Dr. Shattuck also contributed to the 4th Edition of James Nilsson's Electric Circuits and served as a reviewer for journals and textbook publishers.

Pau Closasمشاهده پروفایل

دانشیار

• Statistical Signal Processing
• Array Signal Processing
• Estimation and Detection Theory
• +۷ مورد دیگر

Pau Closas is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University , leading the Information Processing Lab and co-directing the SPIRAL Group . He has held leadership roles including Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine and Head of Statistical Inference for Communications and Positioning at CTTC in Barcelona. MS (2014), Universitat Politècnica de Catalunya: Advanced Mathematics and Mathematical Engineering PhD (2009), Universitat Politècnica de Catalunya: Electrical Engineering MS (2003), Universitat Politècnica de Catalunya: Electrical and Computer Engineering His research lies at the intersection of statistical signal processing and computational statistics , focusing on robust filtering over complex systems. Key application areas include satellite-based navigation , indoor positioning , wireless communications , and mathematical biology . Current projects involve AI-based sensor fusion for ionospheric dynamics and distributed AI for secure navigation systems. Notable awards include the 2023 Harry Rowe Mimno Award , 2019 NSF CAREER Award , and EURASIP Best PhD Thesis Award (2014) . He has secured over $15 million in grants from NSF, DARPA, and the U.S. Army Research Laboratory for projects like RESILIENT and CAREER: Secure Positioning. His leadership roles extend to Chief Scientist at Albora Technologies and co-director of Northeastern's SPIRAL research group.

• Volcano Infrasound
• Seismology
• Infrasound Propagation
• +۴ مورد دیگر

David Fee serves as a Research Professor at the Geophysical Institute of the University of Alaska Fairbanks (UAF), where he leads cutting-edge research in volcano infrasound and seismology. His work integrates infrasound and seismic data to characterize volcanic eruptions and other explosive phenomena, with significant contributions to hazard mitigation in remote regions. Fee directs the Wilson Alaska Technical Center (WATC) and serves as the Alaska Volcano Observatory (AVO) Coordinating Scientist. His research interests focus on volcano infrasound propagation , seismic monitoring , and nuclear treaty verification . Fee's work bridges geophysics and atmospheric science, examining how volcanic eruptions can illuminate atmospheric properties while developing methods for remote eruption detection. Recent projects emphasize machine learning applications for analyzing infrasound data from explosions and eruptions worldwide. Fee's publication trends reveal three key research thrusts: (1) Advanced array processing techniques for infrasound signal detection, (2) Integration of multi-sensor data (seismic, infrasound, satellite) for eruption characterization, and (3) Development of open-source tools for the seismo-acoustic community. His group maintains active GitHub repositories with widely used processing codes. As an advisor, Fee has mentored numerous graduate students, with former students now at institutions including Los Alamos National Lab, USGS, and Sandia National Lab. His students frequently work with AVO at volcanoes globally. Fee's leadership extends to WATC, which operates International Monitoring System stations across Alaska, Washington, Pacific islands, and Antarctica for nuclear treaty monitoring. Fieldwork constitutes a major component of Fee's research program, with expeditions to volcanoes including Shishaldin, Pavlof, Stromboli, Etna, Sakurajima, and Yasur. His group maintains strong international collaborations, particularly with institutions in Japan, Italy, and Vanuatu.