جست‌وجوی استاد و پژوهشگر

Oskar von Strykمشاهده پروفایل

استاد

• Robotics
• Simulation
• System Optimization
• +۳ مورد دیگر

Oskar von Stryk is a Professor in the Department of Computer Science at the Technical University of Darmstadt, leading the Simulation, System Optimization and Robotics research group. He serves as a founding member of hessian.AI (Hessian Center for Artificial Intelligence) and AI.DA (Artificial Intelligence@TU Darmstadt), and previously held leadership roles including Dean of Computer Science (2011-2013) and Founding Dean of Computational Engineering (2001-2007). His research integrates robotics, simulation, and system optimization with applications in rescue robotics, rehabilitation exoskeletons, and human-robot interaction. Current work focuses on autonomous systems for disaster response, medical rehabilitation devices, and AI-assisted navigation in hazardous environments. He develops advanced algorithms for mobile robots including SLAM, path planning, and human-robot collaboration frameworks. Recent publications (2023-2025) demonstrate strong emphasis on radiation hazard mitigation using AI-robot systems, exoskeleton development for temporomandibular disorders, and mobile robot navigation in rough terrain. His work bridges theoretical robotics with practical emergency response applications through the German Rescue Robotics Center. He leads the Simulation, System Optimization and Robotics group while serving as spokesperson for the Graduate School on Cooperative, Adaptive and Responsive Monitoring in Mixed Mode Environments. His team actively contributes to hessian.AI and the German Rescue Robotics Center, developing field-deployable robotic systems for disaster response and industrial inspection.

Julius Goldharمشاهده پروفایل

استاد

• Nonlinear Optics
• High-power Lasers
• Optical Waveguides
• +۴ مورد دیگر

Julius Goldhar is a Professor in the Department of Electrical and Computer Engineering at the University of Maryland. His research focuses on nonlinear optics, high-power lasers, and advanced optical devices. Notable contributions include pioneering work on multiphoton absorption polymerization (MAP) for 3D optical devices, fiber Bragg grating fabrication, and quantum state discrimination techniques. Goldhar has been recognized as an Optical Society of America Fellow. His academic advising includes former student Duan, who became a faculty member at the University of Alabama. Key research areas span high-power laser systems, nonlinear optical phenomena, and novel photonic device fabrication. Goldhar’s work integrates experimental and theoretical approaches to push boundaries in spatial resolution, quantum detection limits, and optical signal processing. His lab has developed innovative methods for fabricating polymer waveguides and microring resonators using laser-based techniques. Recent publications emphasize applications in quantum communication, ultrafast optics, and materials characterization. Goldhar’s academic leadership includes organizing events like the annual Back to School Night for ECE students and mentoring scholars such as Clark Opportunity Transfer Scholar Nathanial Ferlic. His collaborations extend to industry, with advancements in optical interconnects and semiconductor waveguide technologies. His research also addresses challenges in polarization-mode dispersion and coherent reflectometry, reflecting a broad impact across optical engineering domains.

• Artificial Vision
• CMOS Technology
• Image Recognition
• +۳ مورد دیگر

Diego Cabello Ferrer is a Professor at the University of Santiago de Compostela’s Department of Electronics and Computing under the Faculty of Physics. His research focuses on advanced CMOS technologies, embedded vision systems, energy harvesting, and biomedical devices. He holds a PhD from the same university (1984), specializing in cybernetic systems and microprocessor-based analysis of animal behavior. Education: PhD in Electronics and Computing, University of Santiago de Compostela (1984). His work spans artificial vision algorithms, low-power CMOS sensor design, and micro-energy harvesting systems. Key contributions include vision sensors with in-pixel computation, ultra-low power voltage regulators for biomedical implants, and solar energy harvesting integrated circuits. His research emphasizes real-time image processing, edge computing for embedded systems, and hardware acceleration for neural networks. Publications highlight innovations in CMOS vision sensors for background subtraction, energy-efficient LDO designs, and hyperdimensional computing architectures. His teams have developed perpetual wireless sensor networks for environmental monitoring and Snail pest detection. Current efforts focus on in-memory computing with FeFETs and SRAM-based neural network accelerators. Labs/Teams: Center for Research in Intelligent Technologies (CITIUS). Grants & Collaborations: Projects include iCaveats (embedded vision architectures) and energy harvesting integration in biomedical devices. His work bridges theoretical signal processing with practical hardware implementations, addressing challenges in power efficiency, miniaturization, and real-time performance for embedded vision systems.

Eric Y. Maمشاهده پروفایل

استادیار

• Physical Electronics
• Quantum Materials
• Photonics
• +۹ مورد دیگر

Eric Y. Ma is an Assistant Professor in the Department of Physics and by courtesy in Electrical Engineering and Computer Science (EECS) at UC Berkeley, where he holds the Georgia Lee Chair in Physics. He leads the Ma Lab, focusing on wave-matter interactions in quantum regimes, sub-wavelength scales, and unconventional frequencies (THz to UV). His research combines simulation, optimization, and experimental techniques across microwave to ultraviolet domains. Education 2016: Ph.D. in Applied Physics, Stanford University 2010: B.S. in Physics, Peking University Research Focus Dr. Ma's research explores electromagnetic interactions with condensed matter systems, developing novel tools for nanoscale characterization. His work spans quantum materials, inverse design methodologies, microwave microscopy innovations, and applications in computing, sensing, and mixed reality. The lab maintains a balance between fundamental physics and practical implementation. Publication Trends Recent publications demonstrate strong focus on advancing microwave impedance microscopy techniques for quantum materials characterization, developing physics-agnostic inverse design frameworks, and exploring spin wave dynamics. Significant contributions appear in nanophotonics, quantum measurement, and interdisciplinary applications bridging physics with machine learning. Awards & Honors Hellman Fellow (2024) Google Research Scholar (2024) Amazon Physical Science Fellowship (2022) Georgia Lee Chair in Physics Research Support Moore Foundation: Quantum-Limited Atomic Force Microscope development (2024) NSF: Advanced Inverse Design of Microwave Devices (2024) Google: Parsing Physics Literature with LLMs (2024) Laboratory The Ma Lab specializes in developing experimental platforms spanning microwave to ultraviolet frequencies, emphasizing DIY instrumentation and collaborative research. The team includes postdoctoral researchers, graduate students, and undergraduates working on quantum materials characterization, inverse design algorithms, and novel microscopy techniques.

Anne-Johan Annemaمشاهده پروفایل

استاد

• Physics
• Analog Electronics
• Mixed-Signal Circuits
• +۵ مورد دیگر

Anne-Johan Annema is a Professor at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). He earned his MSc and PhD in Electrical Engineering from the University of Twente in 1990 and 1994, respectively, with his doctoral work published as a book titled Feed-Forward Neural Networks . His career spans semiconductor research at Philips, with a focus on analog/mixed-signal circuit design and deep-submicrometer technologies, and he co-founded ChipDesignWorks in 2001. Research interests include physics-electronics intersections, such as: Switched mode RF power amplifiers Low-power and accurate reference circuits CMOS process feasibility for analog applications Optical integration on CMOS He holds 14 patents and has received multiple educational awards, including two Opel awards (2003, 2006) and the 2012 AT award. Since 2017, he has served as Program Director for Electrical Engineering and chaired faculty scholarship committees.

• VLSI Systems
• Analog Signal Processing
• Optoelectronic Systems
• +۷ مورد دیگر

Valencia Joyner Koomson is an Associate Professor in the Department of Electrical and Computer Engineering at Tufts University’s School of Engineering. She also holds concurrent appointments in the Tisch College and the Department of Computer Science. Her primary affiliation is with the Advanced Integrated Circuits and Systems Lab, where her research focuses on silicon-based VLSI systems, optoelectronic integration, and biomedical imaging applications. Dr. Koomson received her Ph.D. from the University of Cambridge and previously worked at the University of Southern California’s Information Sciences Institute (USC/ISI), specializing in radiation-hardened VLSI systems for military and aerospace applications. Her academic journey includes a B.S. and M.Eng. from MIT, followed by a Marshall Scholarship and Intel Foundation support. She has held visiting professorships at MIT, Boston University, and Rensselaer Polytechnic Institute. Notable awards include the NSF CAREER Award and recognition as a National Science Foundation Graduate Research Fellow. Research interests span mixed-mode VLSI systems (analog/digital/optical), optoelectronic system-on-chip integration, and applications in medical imaging and optical wireless communication. Her lab develops wearable health monitoring devices, including the AHOMKA hypertension management platform for Ghana. Recent work includes miniaturized NIRS instruments, microfluidic devices for cell analysis, and millimeter-wave circulators in CMOS. Dr. Koomson has authored over 85 publications and secured grants from NIH, NSF, and industry partners. Current projects include mHealth platforms, noninvasive brain stimulation systems, and culturally adapted healthcare solutions. She actively mentors graduate students in interdisciplinary research combining electrical engineering with biology and public health. Grants: Over 39 funded projects, including NIH’s AHOMKA initiative and NSF’s HDR Tripods Center. Labs: Advanced Integrated Circuits and Systems Lab (AICS Lab) with collaborators in biomedical and materials sciences. Teaching: Courses on VLSI design, digital electronics, and wearable systems.

Shoba Krishnanمشاهده پروفایل

استاد

• Analog and Mixed-Signal Integrated Circuit Design
• High-Speed Data Communication Systems
• Clock and Data I/O Circuits
• +۴ مورد دیگر

Shoba Krishnan is a Professor in the Department of Electrical and Computer Engineering at Santa Clara University's School of Engineering. Her work spans analog and mixed-signal integrated circuit design, carbon nanotube interconnect modeling, and engineering education initiatives. Education: B. Tech., Jawaharlal Nehru Technological University (1987) M.S., Michigan State University (1990) Ph.D., Michigan State University (1993) Her research focuses on high-speed data communication ICs, particularly clock/data I/O circuits, and explores carbon nanotubes as interconnect materials. She's expanding into bio-engineering instrumentation and renewable energy power electronics. Publications highlight work on low-power high-speed drivers, carbon nanotube via resistance analysis, microwave frequency modeling, and BIST structures for transceivers. She advises IEEE and Engineers Without Borders chapters at SCU.

Mark Sherwinمشاهده پروفایل

استاد

• Condensed Matter Physics
• Terahertz Science
• Quantum Optics
• +۳ مورد دیگر

Mark Sherwin is a Professor of Physics and Director of the Institute for Terahertz Science and Technology at the University of California, Santa Barbara (UCSB) . His research focuses on experimental condensed matter physics using terahertz (THz) free-electron lasers (FELs) for quantum control and spectroscopy. He has mentored over 30 graduate students and holds Fellowships from the American Physical Society and the Alfred P. Sloan Memorial Fellowship . Harvard College BA (1981) UC Berkeley PhD (1988) Research Areas : Quantum coherence in spin systems Terahertz-driven electron-hole recollisions High-field electron paramagnetic resonance (EPR) Quantum dot and nanostructure dynamics Nonlinear optics in semiconductors Charge-density-wave materials Scientific Awards : Fellow, American Physical Society Alfred P. Sloan Memorial Fellowship Collaborations include NASA’s Jet Propulsion Laboratory, small companies for THz modulation, and Prof. Songi Han (UCSB Chemistry/Biochemistry). His group designs custom apparatus with Dr. Nikolay Agladze and develops THz detectors/mixers.

Bella Struminskayaمشاهده پروفایل

دانشیار

• Survey Methodology
• Smartphone Surveys
• Data Donation
• +۶ مورد دیگر

Bella Struminskaya is an Associate Professor at Utrecht University’s Department of Methodology & Statistics, Faculty of Social and Behavioural Sciences. She is also an affiliated researcher at Statistics Netherlands and previously held a senior researcher role at GESIS - Leibniz Institute for the Social Sciences. Her work bridges survey methodology with digital data collection techniques, focusing on smartphone sensors and passive data donation. Education: PhD in Survey Methodology, Utrecht University M.A. in Sociology, University of Mannheim B.A. in Sociology, Novosibirsk State University Her research explores innovative data collection methods, including smartphone surveys, mixed-mode designs, and ethical frameworks for data donation. She investigates how mobile technologies can reduce survey burden while addressing nonresponse bias and measurement errors. Recent work emphasizes integrating digital trace data with traditional surveys to enhance accuracy and scope. Key article trends highlight applications of smartphone sensors in health studies, GDPR compliance for data access, and methodological advancements in smart surveys. Her contributions span technical tools like the Port software and theoretical insights on panel conditioning and ethical data augmentation. Scientific Awards: GOR Thesis Award 2015 She serves as a board member for the German Society for Online Research, Program Chair for the General Online Research Conference (GOR), and holds advisory roles in organizations like the European Social Survey, SHARE ERIC, and ODISSEI. She is an associate editor for multiple journals, including the Journal of Survey Statistics and Methodology and Survey Research Methods.

Mustapha Ouladsineمشاهده پروفایل

استاد

• Diagnostic and Prognostic Methods for Complex Systems
• Artificial Intelligence in Healthcare
• Machine Learning Applications in Semiconductor Manufacturing
• +۳ مورد دیگر

Professor at Aix Marseille University's Faculty of Sciences , Mustapha Ouladsine leads cutting-edge research in diagnostic and prognostic methods for complex systems . As Vice-President for Research Infrastructure and AI since 2020, he oversees LIS Computer Science and Systems Laboratory. Directed LIS UMR 7020 (2018–present) Former Director of LSIS UMR 7296 (2008–2018) Scientific manager for €1.2M+ projects with STMicroelectronics Research Focus : Developed innovative approaches for: Equipment health index modeling in semiconductor manufacturing Dynamic sampling techniques for High-Mix Low-Volume systems Fault-tolerant control systems for drones and autonomous robots AI-based cardiac arrhythmia detection with Timone Hospital Scientific Leadership : Founded Aix-Marseille Research Federation in Computer Science Active associate editor for IEEE journals and conferences Coordinated 17+ recruitment committees at Aix Marseille University

Xiang Jianمشاهده پروفایل

مدرس

• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• Stratified Flows
• +۳ مورد دیگر

Xiang Jian is a Lecturer at the University of Southern California (USC) Dornsife College , focusing on fluid dynamics and stratified flows. His research examines wake structures in stratified environments through both experimental and computational approaches. Academic Rank: Lecturer Institution: University of Southern California Contact: xjian@usc.edu His work centers on fluid dynamics with an emphasis on stratified flows , vortex dynamics , and internal waves . He employs techniques like Dynamic Mode Decomposition (DMD) to analyze wake structures and quantify turbulence in stratified environments. Recent publications highlight his expertise in stratified wake analysis , CFD validation , and buoyancy-induced flow patterns . Studies span from low Reynolds number sphere wakes to turbulent grid-generated flows, with applications in environmental and geophysical fluid dynamics.

• Quantum Computing
• Cryogenics
• Data Acquisition Systems
• +۳ مورد دیگر

Oliver Sander is a researcher at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT) . His work focuses on advanced electronics systems for quantum computing, cryogenic sensors, and high-energy physics experiments. Academic Rank: Researcher Research Affiliation: Institute for Data Processing and Electronics (IPE), KIT Contact: oliver.sander@does-not-exist.kit.edu Dr. Sander's research spans multiple disciplines, including quantum engineering , microwave electronics , and real-time data acquisition . He has pioneered electronic solutions for superconducting qubit control, cryogenic sensor readout, and particle detector systems at the Large Hadron Collider. His recent publications highlight advancements in microwave SQUID multiplexers , RFSoC-based readout systems , and modular quantum interface controllers . These works demonstrate a strong focus on scalability, noise reduction, and integration of heterogeneous hardware for precision measurements. At IPE, Dr. Sander contributes to cutting-edge projects like the ECHo experiment for neutrino mass measurement and the QUBIC telescope for cosmic microwave background studies. His expertise in field-programmable gate arrays (FPGAs) and multi-core architectures enables robust solutions for safety-critical systems in both physics and automotive domains.

Alessandro Giuseppiمشاهده پروفایل

استادیار

• Intelligent Control Systems
• Network Control
• Smart Networks
• +۴ مورد دیگر

Alessandro Giuseppi is an Assistant Professor in Tenure Track at the University of Rome La Sapienza's Department of Computer, Control, and Management Engineering (DIAG). He leads research in intelligent control systems and smart networks at the Network Control Laboratory, while serving as CTO of the startup Automation Intelligence and Control (AICO). As Associate Editor for IEEE Transactions on Automation Science and Engineering and International Journal of Control, Automation, and Systems , he bridges academic research with practical applications. M.Sc. & Ph.D. in Automatic Control from La Sapienza National Scientific Qualification for Associate Professor (2023) Active in EU/National funded projects since 2016 His research spans intelligent systems, network control, and AI integration in automation. Publications emphasize federated learning, deep learning applications, and control theory advancements across domains like autonomous vehicles, healthcare, and industrial automation. Key awards include the Minerva Prize (twice) and Telespazio's T-TeC. Recent publications address: (1) Federated learning with adaptive topologies, (2) Healthcare AI for diabetes management and portal hypertension diagnosis, (3) Industrial AI for manufacturing quality control, and (4) Smart network control in 5G/6G telecommunications. 2023 Premio Minerva - Best Postdoctoral Researcher 2021 Premio Minerva - Best PhD Candidate 2021 Best ETRI Journal Paper 2020 Telespazio Technology Contest Winner As course instructor, he teaches Intelligent and Hybrid Control, Automazione, and Laboratorio di Automatica. His leadership extends to co-founding startup AICO and collaborating with CRAT research consortium on Horizon Europe projects.

Mikael Vejdemo-Johanssonمشاهده پروفایل

دانشیار

• Topological Data Analysis
• Applied Category Theory
• Algebraic Topology
• +۵ مورد دیگر

Mikael Vejdemo-Johansson is an Associate Professor of Data Science and Mathematics at the Department of Mathematics, CUNY College of Staten Island, with concurrent roles as Executive Officer of Computer Science and Director of Data Science at the CUNY Graduate Center. His work bridges applied algebraic topology, computational mathematics, and data science, with a focus on topological data analysis (TDA) and its applications to diverse domains. He has contributed extensively to software development in TDA, notably creating JavaPlex, and has co-authored foundational work on persistent homology, cohomology, and the Mapper algorithm. His research explores topological modeling of political data, motion capture, and biomedical applications, while advocating for mental health awareness in academia through initiatives like the Depressed Academics blog. His recent publications emphasize persistent cohomology, error classification in predictive models, and distributed algorithms for evasion problems. He mentors graduate students in computational topology, machine learning, and data science, and his artistic endeavors include mathematical art exhibitions at major conferences like the Bridges Mathematical Art Conference.

Yves Audetمشاهده پروفایل

دانشیار

• Integrated Circuits
• Electronic Circuits and Devices
• Microelectronics
• +۹ مورد دیگر

Yves Audet is an Associate Professor in the Department of Electrical Engineering at Polytechnique Montréal, affiliated with three centers of excellence: Industry of the Future and Digital Society (primary), Energy, Water and Resources , and Transport and Sustainable Infrastructure . He holds a B.Sc. and M.Sc. from Sherbrooke University and a Ph.D. from Simon Fraser University. His research bridges integrated circuit design , energy systems , and microsensor technology , with focus areas including: Ultra-low power CMOS circuits for energy harvesting High-speed isolated data communication (capacitive/inductive) Spectral imaging sensors and Hall-effect isolators Radiation-hardened avionics systems Photovoltaic and RF power conversion Analysis of his 62 publications reveals strong emphasis on: Optimizing power-delay tradeoffs in communication systems (7 recent papers on isolators) Advancing start-up circuits for sub-50mV energy harvesters Developing miniaturized sensor interfaces for IoT/industrial applications Improving fault tolerance in FPGAs and avionics He has supervised 19 graduate students (6 PhD, 13 Master's) working on projects spanning CMOS spectrometers, UAV wireless charging, and radiation-hardened circuits. No awards are documented, but he holds 2 patents in CMOS photodetection technology.