جست‌وجوی استاد و پژوهشگر

Lucas J. Koernerمشاهده پروفایل

دانشیار

• Image sensors
• Camera systems
• Optical time-of-flight
• +۹ مورد دیگر

Lucas J. Koerner is an Associate Professor in the Department of Electrical & Computer Engineering at the University of St. Thomas School of Engineering. He holds a PhD and MS in Physics from Cornell University and a BA in Physics and Mathematics from Northwestern University. Education: PhD in Physics, Cornell University MS in Physics, Cornell University BA in Physics and Mathematics (Integrated Science Program), Northwestern University Research Interests: Dr. Koerner specializes in electronics instrumentation for novel detection applications. His expertise spans image sensors , camera systems , optical time-of-flight , sensors , CMOS x-ray detectors , electrical instrumentation and data acquisition , and open source hardware . His work enables breakthroughs in medical diagnostics, scientific instrumentation, and industrial sensing through custom hardware solutions. Publication Trends: Recent publications (2018-2020) focus on embedded sensor networks, 3D-printed EMI shielding, and photodiode readout techniques. Earlier work (2006-2012) pioneered X-ray pixel array detectors for synchrotron and free-electron laser applications, enabling high-resolution protein crystallography and materials science breakthroughs through time-resolved measurements. Professional Experience: Prior to academia, Dr. Koerner developed radiation-hardened electronics for space missions at Johns Hopkins Applied Physics Lab and led camera electrical testing for mobile devices at a Fortune 500 company. His Cornell research created CMOS readout circuits for X-ray detectors used in single-particle diffraction studies. Teaching: He teaches Digital Design, Electricity & Magnetism, and Senior Design Clinic, emphasizing hands-on instrumentation development and open-source hardware principles.

Polichronis Stamatiadisمشاهده پروفایل

دانشیار

• Transportation Engineering
• Traffic Engineering
• Traffic Signal Control
• +۳ مورد دیگر

Polichronis Stamatiadis serves as an Associate Professor in the Civil and Environmental Engineering Department at UMass Lowell's Francis College of Engineering, specializing in Transportation Engineering with expertise in traffic signal optimization and intelligent transportation systems. His academic credentials include: Ph.D. in Civil and Environmental Engineering (Transportation and Traffic Engineering), Michigan State University (1992) M.S. in Civil and Environmental Engineering (Transportation and Traffic Engineering), Michigan State University (1987) B.S. in Surveying Engineering, Aristotle University, Greece (1985) Stamatiadis's research centers on transportation network optimization , with primary focus on traffic flow theory, signal control algorithms, and arterial progression systems. His work bridges theoretical modeling with practical implementation through dynamic traffic assignment integration and real-time adaptive control strategies. Notable contributions include MULTIBAND-95 progression optimization and near-Bayes minimax control frameworks that address uncertainty in traffic networks. His publication portfolio demonstrates evolving expertise from foundational traffic engineering (1990s) to advanced optimization techniques (2000s) and interdisciplinary photonics applications (2010s). Key thematic areas include network-wide signal coordination, congestion mitigation, and emergency evacuation planning, with consistent emphasis on computational efficiency and scalability for urban environments. Research funding has been secured from major entities including the National Nuclear Security Administration, MassDOT, and U.S. Department of Transportation. Significant projects encompass: Emergency evacuation planning for nuclear facilities using large-scale network simulation (2011) Traffic Operations Center enhancement (2009) Interactive TMC decision support tools (2008) Arterial traffic flow characterization (2005) Pioneering web-based ITS education modules (1999-2003)

Milad Zamaniمشاهده پروفایل

استادیار

• Integrated Circuits
• Biomedical Engineering
• Wireless Power Systems
• +۳ مورد دیگر

Milad Zamani is a Tenure Track Assistant Professor in the Department of Electrical and Computer Engineering at Aarhus University. His research focuses on integrated circuits, biomedical engineering, and wireless power systems with applications in neural engineering and sensor systems. He leads projects such as DONUT (European Doctoral Network for Neural Prostheses and Brain Research) and CorroSense (Self-powered corrosion monitoring). His work spans topics like bio-impedance sensing for wearables, ultrasonic energy transfer for implants, and high-precision analog circuits. Recent projects include thermally-powered leakage detection systems and optogenetic implantable devices. Zamani collaborates on advanced sensor technologies, neuromorphic hardware, and biomedical device miniaturization. His lab develops low-power circuits for medical applications, combining signal processing with cutting-edge microelectronic design.

• Analog Circuit Design
• RF/Microwave Engineering
• VLSI Design
• +۶ مورد دیگر

Dr. Ahmet Tekin is an Assistant Professor at the Department of Electrical and Electronics Engineering, Boğaziçi University. His research focuses on analog/mixed-signal/RF/microwave VLSI design, with emphasis on biomedical electronics, wireless communication systems, and integrated circuit innovation. He specializes in developing advanced sensor technologies, antenna arrays, and energy-efficient RF systems for healthcare, IoT, and aerospace applications. Key research areas include continuous glucose monitoring devices, optoelectronic blood pressure sensors, phased array transmitters for satellite communication, and resonance-based wireless charging systems. His work integrates cutting-edge semiconductor technologies like 22nm FDSOI and SOI CMOS with innovative circuit architectures. Dr. Tekin's recent publications highlight advancements in ultra-wideband antennas, adaptive sampling techniques, and biomedical IoT communication protocols. His research bridges electronics engineering with practical applications in healthcare, robotics, and renewable energy systems. Though no awards are explicitly mentioned, his prolific output in high-impact journals underscores his contributions to the field. He advises on interdisciplinary projects at the intersection of electronics and biomedical engineering, with a focus on wearable technologies and smart medical devices. His lab collaborates on energy harvesting systems and low-power biomedical sensors, reflecting a commitment to both foundational research and real-world solutions.

Sylwester Latkowskiمشاهده پروفایل

پژوهشگر

• Integrated Photonics
• Photonics
• Semiconductor Lasers
• +۳ مورد دیگر

Sylwester Latkowski is a University Researcher and Project Manager in the Department of Photonic Integration at Eindhoven University of Technology (TU/e), the Netherlands. He also serves as Scientific Director at the Photonic Integration Technology Center. His work focuses on integrated photonics, particularly in photonic integrated circuits (PICs), semiconductor lasers, and their applications in telecommunications, sensing, and emerging technologies. Academically, he holds M.Sc. and Eng. degrees in optoelectronics and technical physics from West Pomeranian University of Technology (Poland) and a Ph.D. from Dublin City University (Ireland), where his research centered on semiconductor mode-locked lasers and terahertz generation. He is a senior member of IEEE and the IEEE Photonics Society, actively contributing to standards and road-mapping initiatives for integrated photonics through organizations like AIM Photonics Academy and Photon Delta. His research interests include photonic integration technologies, test automation for PICs, and applications in gas sensing, optical gyroscopes, and LiDAR. He chairs technical working groups for electronic-photonic test standards and collaborates internationally on projects such as the Integrated Photonics System Roadmap (IPSR-I). His work emphasizes bridging the gap between photonics and electronics, with a focus on scalable manufacturing and standardization. Notable contributions include pioneering open standards for photonic test automation, developing widely tunable laser sources, and advancing InP-based integration platforms. His publications span topics like thermal management in electronic-photonic systems, optical alignment optimization, and narrow-linewidth ring lasers for gyroscopes. He has supervised two research projects and is involved in industry partnerships to commercialize photonic technologies. His expertise spans from fundamental research to applied engineering, reflecting his belief in the seamless integration of science and technology.

• Electrical and Electronic Engineering
• Optical Physics
• Communications Technologies
• +۳ مورد دیگر

Associate Professor Thach Nguyen is affiliated with the School of Engineering at RMIT University. His research focuses on integrated photonics, nonlinear optics, and quantum optics, with applications in mid-infrared spectroscopy, waveguide design, and optical device fabrication. He supervises projects on topics such as quantum optics on lithium niobate platforms, energy-efficient neuromorphic accelerators, and hybrid microfluidics for diagnostics. His work spans photonics integration, material characterization, and advanced optical systems. Key research areas include lithium niobate-based devices, silicon nitride waveguides, and synthetic frequency dimension engineering. Teaching interests include integrated optics and silicon photonics. His research has led to innovations in photonic CNNs for image processing, programmable silicon photonics, and fiber/chip-based supercontinuum sources. Collaborations emphasize hybrid integration, energy-efficient architectures, and novel photonic phenomena.

• NMR Spectroscopy
• Nanobiotechnology
• Microfluidics
• +۳ مورد دیگر

Sander Baas is an Education/Research Officer in the BioNanoTechnology department at Wageningen University. His role involves academic research and educational initiatives, focusing on developing innovative hardware solutions for NMR spectroscopy and microscopy. He holds a PhD from Wageningen University, awarded in 2024, for his thesis on DIY NMR systems, magnets, and hyperpolarization hardware. His academic career has been centered around interdisciplinary research at the intersection of engineering and life sciences. Education: Sander Baas completed his educational background at Wageningen University, where he earned his PhD in 2024. His academic journey includes: PhD in BioNanoTechnology (2024) Research Interests: Sander Baas’ research interests span NMR Spectroscopy, Nanobiotechnology, and Microfluidics. He is deeply involved in designing advanced transceiver ASICs for multinuclear NMR applications and optimizing magnet systems for enhanced spectral resolution. Additionally, his work explores the integration of CRISPR technology with microscopy frameworks for in vivo tracking and the repurposing of 3D printers into biomedical tools like programmable syringe pumps. His studies often bridge electronics engineering with molecular biology, aiming to create accessible and high-performance instrumentation for scientific research. Articles Overview: His recent publications (2021–2023) emphasize the development of affordable and versatile NMR instrumentation, including a 2 T magnet with high sensitivity and a syringe pump derived from a 3D printer kit. He also focuses on microfluidic applications, such as hyperpolarization techniques using CIDNP, and advancing ASIC-based transceiver systems for multinuclear NMR. Earlier work (2018–2019) highlights contributions to single-molecule localization microscopy and CRISPR/dCas9 tracking in live bacteria, demonstrating a consistent thread of innovation in both hardware and biological imaging technologies. Scientific Awards: No scientific awards mentioned. Advising & Grants: In his academic journey, Sander Baas was a PhD candidate in the NanoSpin project (2018–2024), supervised by Prof. A. Velders and co-supervised by Dr. V. Saggiomo. This project addressed challenges in NMR spectroscopy signal intensity and polarization transfer within nanobiotechnology. No formal grants or advising roles are explicitly listed in the provided texts. Labs & Teams: He contributed to the NanoSpin research initiative at Wageningen University, focusing on NMR spectroscopy and nanobiotechnology advancements. Collaborations include work with the Universidad de Castilla-La Mancha on microfluidic datasets and open-source hardware projects. His research also involves partnerships with institutions in Biomedical Engineering and Electronics Design.

• Digital Communications
• Neural Networks
• Medical Engineering
• +۳ مورد دیگر

Matthieu ARZEL is an Associate Professor in the Department of Mathematical and Electrical Engineering at IMT Atlantique. He holds an HDR (2021), PhD (2006), and Engineer degree (2002) from Telecom Bretagne/ENST. His research focuses on iterative processing for digital communications, low-power integrated circuits, high-speed digital circuits, and FPGA implementations in domains like neural networks, medical engineering, and communication systems. Key research interests include neuromorphic hardware, neural network pruning, federated learning compression, and energy-efficient signal processing. He has supervised 18 PhD students and contributed to projects like Ouessant coprocessor architectures and clique-based neural network circuits. His work bridges algorithm-architecture interactions, emphasizing low-power and embedded system applications. Recent publications highlight innovations in FPGA-based deep learning deployment and efficient neural network compression techniques. Publications span topics from real-time semantic segmentation on FPGA to collusion-resistant watermarking. His contributions address challenges in hardware-software co-design, iterative decoders for MIMO systems, and biomedical signal processing.

Alexandros Emborasمشاهده پروفایل

مدرس

• Memristive Devices
• Nanophotonics
• Plasmonics
• +۳ مورد دیگر

PD Dr. Alexandros Emboras is a senior scientist and lecturer at ETH Zurich's Department of Information Technology and Electrical Engineering, leading the center for Single Atom Electronics and Photonics funded by Werner Siemens Stiftung. His research focuses on memristive devices, neuromorphic engineering, and nanoscale photonics. He holds a PhD from CEA-LETI Grenoble (2012) and postdoctoral experience at Hebrew University (2013). Education: PhD in Electrical Engineering, CEA-LETI Grenoble (2012) Postdoctoral Research, Hebrew University of Jerusalem (2013) His research explores atomic-scale memristors, plasmonic devices, and their applications in neuromorphic computing and high-speed communications. Key contributions include photonic-electronic hybrid systems, resistive switching mechanisms in complex oxides, and energy-efficient neuromorphic architectures. Recent work emphasizes memristive photon sources and bio-inspired electronic systems leveraging oxide dynamics. Publications span advanced topics like gate-enabled memristive switches, inkjet-printed phase change memories, and in-situ reinforcement learning with analog memristors. His work bridges nanotechnology and practical applications in computing and communication systems. Labs/Teams: Coordinates the Werner Siemens Stiftung-funded center for Single Atom Electronics and Photonics at ETH Zurich.

Alireza Marandiمشاهده پروفایل

استاد

• Nonlinear Photonics
• Ultrafast Optics
• Quantum Optics
• +۶ مورد دیگر

Alireza Marandi is a Professor of Electrical Engineering and Applied Physics at the California Institute of Technology (Caltech), leading the Nonlinear Photonics Laboratory. He holds academic positions since 2017, including Visiting Associate (2017-18), Assistant Professor (2018-24), and current Professor (2024-). His research focuses on nonlinear photonics, ultrafast optics, quantum optics, and optical information processing, with applications in sensing, computing, and spectroscopy. Marandi earned a B.S. from the University of Tehran (2006), M.S. from the University of Victoria (2008), and Ph.D. from Stanford University (2013). Research interests include nanophotonic devices, optical frequency combs, mid-infrared photonics, and topological photonics. His lab develops technologies like integrated optical parametric oscillators, ultrafast lasers, and neuromorphic photonic systems. Awards include the 2023 DARPA Young Faculty Award and a Sloan Fellowship. He advises students in advanced photonics research, including Saransh Sharma, Ryoto Sekine, and Louise Schul. His work bridges experimental and theoretical photonics, addressing challenges in quantum computing, optical sensing, and high-speed signal processing. Key innovations include cross-comb spectroscopy, all-optical recurrent neural networks, and topological lasing systems. His lab collaborates on projects funded by DARPA and other agencies, advancing photonic technologies for next-generation computing and sensing applications.

Robert Loftinمشاهده پروفایل

مدرس

• Ad Hoc Human-AI Cooperation
• Human-AI Alignment
• Human-in-the-loop Machine Learning
• +۶ مورد دیگر

Dr. Robert Loftin is a Lecturer in Machine Learning at the University of Sheffield’s School of Computer Science. His research focuses on Ad Hoc Human-AI Cooperation, Human-AI Alignment, and Human-in-the-loop Machine Learning, with expertise in Deep Reinforcement Learning and Multi-Agent Systems. He holds a PhD from North Carolina State University (2019) and a Bachelor’s from Georgia Tech (2011). Postdoctoral work includes roles at Microsoft Research Cambridge and TU Delft, exploring AI applications in gaming and multi-agent cooperation. His research interests span AI ethics, human-robot interaction, and games, with a strong emphasis on practical applications of interactive learning. Recent work includes advancements in entropy-based coordination for multi-agent systems (2023–2025) and theoretical studies on cooperation in socially rational agent populations. He contributes to the Machine Learning research group and has published extensively in top venues like NeurIPS, AAMAS, and AAAI. Publications highlight innovations in curriculum design, exploration strategies, and adaptive feedback mechanisms. His work bridges theoretical foundations and real-world applications, particularly in cooperative and competitive multi-agent environments. Current projects explore safe team coordination and scalable strategies for high-dimensional state spaces.

Nicholas Güskenمشاهده پروفایل

استادیار

• Nanophotonics
• Quantum Optics
• Plasmonics
• +۳ مورد دیگر

JProf. Dr. Nicholas Güsken is a Tenure Track Assistant Professor (W1) at the Department of Physics (Experimentelle und angewandte Physik) at Paderborn University, affiliated with the Institute for Photonic Quantum Systems (PhoQS) and the Center for Optoelectronics and Photonics (CeOPP). His research focuses on nanophotonics, plasmonics, and quantum-optoelectronic systems, with emphasis on integrating novel materials and nanostructuring for advanced optical devices. Education: PhD from Imperial College London (2017-2020), followed by postdoctoral research at Stanford University (2021-2025). Awards: Member of the Junge Akademie (2025), recipient of the NRW-Returning Scholar Program grant (€1.25M). His work spans plasmonic modulators, quantum key distribution systems, and nanoscale light-matter interactions. Key contributions include low-loss plasmonic devices, enhanced erbium emission in waveguides, and tunable vector beam decoders for high-dimensional quantum communication. He has developed fabrication methods for aluminum plasmonic waveguides and pioneered techniques for analyzing dipolar nano-emitters using non-paraxial light fields. Current projects explore nanofocusing for nonlinear optics, hot-carrier-based photodetection, and integrating plasmonics with semiconductor technologies. His research bridges fundamental photonics with applied optoelectronic systems for telecommunications and quantum technologies.

Mark Horowitzمشاهده پروفایل

استاد

• High-Performance Digital Systems
• VLSI Circuit Design
• Microprocessor Architecture
• +۷ مورد دیگر

Mark Horowitz holds the Fortinet Founders Chair in Electrical Engineering and is the Yahoo! Founders Professor in Stanford University's School of Engineering. He also serves as Professor of Computer Science. His career spans over four decades, with foundational contributions to microprocessor design, high-speed link architectures, and computational photography innovations like the Lytro camera. Education: PhD in Electrical Engineering, Stanford University (1984) MS in Electrical Engineering, MIT (1978) BS in Electrical Engineering, MIT (1978) Research Interests: His work bridges EE and CS with interdisciplinary focus on: Agile hardware design methodologies for VLSI systems High-speed signaling and memory interfaces (e.g., Rambus technology) Reconfigurable computing architectures (e.g., CGRA-based accelerators) Applications in computational biology and molecular systems Recent Directions: Recent publications emphasize energy-efficient accelerators for machine learning, memory subsystem innovations, and compiler-driven hardware design frameworks like AHA! His work on Onyx and Opal architectures demonstrates leadership in sparse tensor computation hardware. Labs & Teams: Leads the Stanford VLSI Research Group and AHA! initiative. Collaborations include work with Prof. Marc Levoy on computational imaging and partnerships with industry on memory interface standards.

• Aeroacoustics
• Aircraft Noise
• Wind Turbine Noise
• +۵ مورد دیگر

Professor Con Doolan is a leading academic in aeroacoustics and fluid dynamics at UNSW Sydney's School of Mechanical and Manufacturing Engineering. He heads the Flow Noise Group, focusing on noise reduction in aerospace, wind energy, and transport sectors. His research spans turbulence, fluid-structure interactions, and noise control, with over 400 publications. Education: PhD in Aerospace Engineering (University of Queensland), Honours in Mechanical Engineering. Leadership Roles: Director of Postgraduate Research Examinations (UNSW Engineering), Associate Dean (Education), UNSW College Academic Board member. Teaching: Courses in Aerodynamics, Flight Mechanics, and Acoustics. Research Interests: Aeroacoustics, flow-induced noise, acoustic beamforming, wind turbine noise, and turbulence physics. He collaborates with industries in defense, energy, and healthcare to translate research into practical solutions. Key Projects: UNSW Anechoic Wind Tunnel, Cough Dynamics Experiments, Classroom Air Quality Studies. His work on mask efficacy during pandemics has had global impact. Grants & Collaborations: Extensive ARC funding, partnerships with mining, aerospace, and construction sectors. Active in interdisciplinary projects like waste-to-noise-attenuation materials. Labs/Teams: Flow Noise Group (specializing in experimental and computational aeroacoustics), collaborations with medical and environmental teams for infection control studies.

Miriam Leeserمشاهده پروفایل

استاد

• Reconfigurable Computing
• FPGA Accelerators
• Wireless Communications
• +۴ مورد دیگر

Miriam Leeser is a Professor and Associate Chair of Research in the Department of Electrical and Computer Engineering at Northeastern University. She leads the Reconfigurable and GPU Computing Lab, focusing on heterogeneous architectures, FPGA accelerators, and their applications in wireless communications, machine learning, and data privacy. Her work emphasizes practical implementations of theoretical advancements, such as cloud-edge computing frameworks and secure multi-party computation using FPGAs. Leeser holds a PhD in Computer Science from the University of Cambridge and a BS in Electrical Engineering from Cornell University. She has been at Northeastern since 1996 and is a Senior Member of both the IEEE and ACM. Notable recognitions include the National Science Foundation Young Investigator Award and her status as a Charter Member of the IEEE Computer Society Distinguished Contributor Program. Her research portfolio includes projects funded by the NSF on topics like resilient cloud infrastructure (CAREFREE), cross-layer wireless coexistence, and FPGA-enabled secure computation. The Reconfigurable Computing Lab develops tools and libraries to simplify accelerator usage, particularly for emerging applications in IoT, medical imaging, and 5G/6G systems. Key Projects: CAREFREE, P4-based FPGA Testbeds, Secure Function Evaluation via FPGAs, MIMO Systems Acceleration Grants: Over $2M in NSF awards for cloud infrastructure and cybersecurity Labs: Reconfigurable and GPU Computing Lab (RCL) Leeser’s publications span FPGA optimization, hardware-software co-design, and privacy-preserving technologies. Recent work highlights include accelerating large language models with token-adaptive quantization and low-latency optical wireless transceivers.