جست‌وجوی استاد و پژوهشگر

Matthew Jan Daniel Esserمشاهده پروفایل

استاد

• Photonics
• Quantum Sciences
• Laser Development
• +۶ مورد دیگر

Matthew Jan Daniel Esser is a Professor at Heriot-Watt University’s School of Engineering & Physical Sciences and holds the Royal Academy of Engineering & Leonardo Research Chair in Laser Device Physics & Engineering. His work focuses on diode-pumped solid-state lasers, power scaling, ultra-fast welding techniques, and industrial laser systems. Doctorate of Engineering in Photonics (2010), Heriot-Watt University Research Interests span laser physics, material processing, and sustainable manufacturing. His group develops novel architectures for high-energy laser systems using micro-optics, thin-slab designs, and additive manufacturing. Applications include defense, remote sensing, and industrial processes. Scientific Awards include the Royal Academy of Engineering & Leonardo Research Chair. Recent research trends emphasize ultra-fast laser welding of glass-to-metal, machine learning in industrial laser manufacturing, and autonomous robotic assembly. Co-Investigator: EPSRC & Leonardo Prosperity Partnership (EP/X025365/1) on Smart Products Made Smarter Co-Investigator: EPSRC Project (EP/V051165/1) on Machine Learning-empowered Laser Systems Co-Investigator: EPSRC Project (EP/V01269X/1) on Ultra-short pulsed laser welding Collaborations involve institutions like STFC Rutherford Appleton Laboratory and companies such as Renishaw, Luxinar, and PowerPhotonic. The group supports PhD and Post-Doctoral positions in laser device physics and engineering.

Mikhail Vladimirovich Lazarevمشاهده پروفایل

دانشیار

• Machine Learning
• Nanophysics
• Data Analysis
• +۱ مورد دیگر

Mikhail Vladimirovich Lazarev serves as both an Associate Professor in the Department of Big Data and Information Retrieval and a Research Fellow at the Research and Educational Laboratory of Big Data Analysis Methods within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He earned his PhD from the Federal Polytechnic School of Lausanne (2019), following Master's and Bachelor's degrees in Applied Mathematics and Physics from Moscow Institute of Physics and Technology (2013 and 2011 respectively). His academic journey includes research positions at EPFL's Laboratory of Physics of Nanostructures (2013-2019) and teaching experience as an Assistant Professor at EPFL. Dr. Lazarev's research spans Machine Learning , Nanophysics , Data Analysis , and Optics , with notable contributions at the intersection of computational physics and artificial intelligence. His work bridges theoretical foundations with practical applications across materials science, semiconductor physics, and healthcare domains. His publication record reveals a clear interdisciplinary trajectory, with recent work focusing on applying machine learning to materials science challenges (such as 2D material design and fullerene network stability) while simultaneously expanding into medical applications (particularly cardiology). This dual focus demonstrates his ability to transfer methodologies across scientific domains. Letter of gratitude from the Faculty of Computer Science at HSE (July 2023) Dr. Lazarev actively contributes to academic training through courses including Introduction to Deep Learning, Mathematical Methods for Data Analysis, and Deep Learning in the Natural Sciences. He has participated in significant academic events including the AI IN 2023 international conference and workshops on computational methods in materials science, demonstrating his engagement with both the Russian and international academic communities. He is a key member of the Research and Educational Laboratory of Big Data Analysis Methods (LAMBDA), contributing to HSE's growing reputation in artificial intelligence research and application development.

Peter Moarمشاهده پروفایل

استاد مدعو

• Aerospace Engineering
• Astronomical and Space Instrumentation
• Automation and Control Engineering
• +۴ مورد دیگر

Peter Moar is an Adjunct Professor in Engineering at La Trobe University with over 25 years of international experience in technology design, research, and consulting across telecommunications, automotive, aerospace, and nanotechnology sectors. His career spans from establishing global startups to optimizing operations for Fortune 500 companies, with a focus on bringing complex products from design to mass manufacture. His educational background includes: Bachelor of Engineering (Honors) PhD from La Trobe University Moar possesses extensive expertise in Aerospace Engineering , Astronomical and Space Instrumentation , Automation and Control Engineering , and Photonics and Electro-Optical Engineering . His research focuses on Industrie 4.0 applications in automotive, aerospace, and telecommunications sectors, with a notable 17-year collaboration with the German Aerospace Centre (DLR) on the FIREBIRD micro satellite missions for global bushfire monitoring. His recent publications demonstrate a shift from foundational optical fiber research to cutting-edge space applications, particularly in machine learning for orbital deployment systems and Earth observation technologies. Professional leadership includes: Chair of Engineers Australia National Committee for Space Engineering (since January 2023) Co-chair of same committee (October 2017 - January 2023) Moar has developed industry-focused educational programs including 'Work Integrated Learning (Engineering)' (March 2016) and secured mission-critical capabilities for the DLR's Earth Sensing Imaging Spectrometer (DESIS) global space instrumentation mission. His funded research includes the 'Heavy Vehicle Turntable Use on Building Construction Sites' project with The Australian Turntable Co. Pty Ltd (2019-2020), demonstrating his strong industry connections and practical application focus.

• Compound Semiconductor Electronics
• GaN Device Technologies
• Terahertz Electronics
• +۴ مورد دیگر

Edward Wasige is Professor of High Frequency Electronics in the Division of Electronics and Nanoscale Engineering at the University of Glasgow's School of Engineering, where he leads the High Frequency Electronics (HFE) Group. His research spans compound semiconductor devices, including GaN technologies for power/microwave electronics and InP-based systems for terahertz applications. Education: BSc (Eng.) in Electrical Engineering (First Class Honours), University of Nairobi, 1988 MSc in Microelectronics & Telecommunications, University of Liverpool, 1990 PhD in Electrical Engineering (with Distinction), Kassel University, 1999 Research Focus: His group pioneers high-frequency semiconductor devices with emphasis on neuromorphic photonics (RTD-based spiking neurons), terahertz wireless systems, and GaN HEMT advancements. Current work includes photonic-electronic integration for brain-inspired computing and thermal optimization of wide-bandgap devices. Publication Trends: Recent articles (2023-2024) demonstrate strong focus on terahertz instrumentation (35%), neuromorphic hardware (40%), and GaN device innovation (25%), with emerging themes in cryogenic characterization and 6G communications testbeds. Awards: UNESCO Postdoctoral Fellowship (Technion, Israel) Laboratories: Leads the HFE Group with capabilities in nanofabrication (sub-100nm processes), on-wafer characterization up to 1.7 THz, and semiconductor device testing across temperature ranges (77K–400K).

• Microelectromechanical Systems (MEMS)
• Microelectronics
• Nanotechnology
• +۷ مورد دیگر

Associate Professor Yong Zhu is a faculty member in the School of Engineering and Built Environment at Griffith University, Australia, specializing in Electrical and Electronic Engineering. He is a full member of the Queensland Micro and Nanotechnology Centre (QMNC) and the Queensland Quantum and Advanced Technologies Research Institute (QUATRI). His work focuses on advanced manufacturing and sensing technologies to improve how we interact with and understand our physical environment. Education: Doctor of Philosophy in Microelectronics, Peking University (2002-2005) Graduate Certificate in Higher Education, Griffith University (2016-2017) Associate Professor Zhu specializes in Microelectromechanical Systems (MEMS) and sensing technologies. His research interests span Microelectromechanical Systems (MEMS) devices (including resonators, oscillators, RF devices, charge sensors), Microelectronics, Nanotechnology, Mechatronics and Robotics, Sensors in renewable energy systems, Wearable sensors for health monitoring, Energy harvesting, and Remote sensing of bushfire. His work aims to develop more accurate, reliable, and efficient sensing technologies to improve our quality of life and environmental sustainability. His recent publications show a strong focus on MEMS, sensors, and nanotechnology applications, particularly in Silicon Carbide (SiC) technology for harsh environments, wearable sensors for health monitoring, and energy harvesting systems. There's a clear trend toward practical applications of fundamental research in areas like structural health monitoring, IoT systems, and biomedical applications, demonstrating the translational impact of his work. Scientific Awards: 2022 Griffith Outstanding Teachers 2021 Griffith Outstanding Teachers Griffith Sciences Learning and Teaching Citation (2020, 2015) 2019 SDVC Commendation Griffith Excellent Teacher 2013 Pro Vice Chancellor's Excellence Awards 2015 Fellow of The Higher Education Academy Professor Zhu has supervised numerous doctoral and masters students across diverse topics including hydrogen sensors, MEMS, energy harvesting, and biomedical applications. His research is supported by multiple funded projects, including an ARC Discovery Project "Nano optoelectronic coupling: towards an ultrasensitive sensing technology" ($631,080) and several internal Griffith University grants focused on MEMS, sensors, and energy systems. He has served as Program Director for the Bachelor of Engineering (Honors) and as a Mentor for the Griffith Honours College. Professor Zhu is actively involved with the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the Queensland Micro and Nanotechnology Centre (QMNC), where he contributes to cutting-edge research in micro and nanotechnology. His collaborative work spans multiple disciplines, connecting engineering with healthcare, environmental monitoring, and renewable energy systems.

Jing Kongمشاهده پروفایل

استاد

• Nanoscale Materials
• Quantum Devices
• Two-Dimensional Electronics
• +۱ مورد دیگر

Jing Kong is the Jerry McAfee (1940) Professor in Engineering at MIT's Department of Electrical Engineering and Computer Science. Her research focuses on nanoscale materials and devices, including two-dimensional electronics and quantum systems. She directs advancements in nanofabrication and materials characterization, contributing to semiconductor technology and environmental applications. Research Interests: Her work spans nanoscale materials synthesis, electronic devices, and optical characterization. Key areas include 2D materials (e.g., MoS₂, graphene), quantum devices, and scalable fabrication techniques for industrial applications. Awards: Recipient of the 2024 Postdoctoral Mentoring Award for exceptional guidance in research development. Innovations: Pioneered methods for wafer-scale 2D material integration and sensor design, with recent breakthroughs in catalysis and memory devices.

Ignacio Bravo Muñozمشاهده پروفایل

استاد

• Electronics Engineering
• Signal Processing
• FPGA Applications
• +۳ مورد دیگر

Ignacio Bravo Muñoz is a Professor at the Department of Electronics, Universidad de Alcalá (Spain), affiliated with the GEINTRA research group focusing on Electronic Engineering applications in Intelligent Spaces and Transport. He holds a PhD from Universidad de Alcalá (2007) with a thesis on FPGA-based object detection using computational vision and PCA techniques. His research spans indoor positioning systems (using LED/PSD sensors), sustainable energy frameworks for smart communities, FPGA-based hardware design , and remote laboratory platforms . Key contributions include real-time metrology for ESA's PLATO mission, cooperative demand response algorithms, and innovative pedagogical approaches integrating sustainability into digital electronics education. Recent work emphasizes edge computing for video surveillance , machine learning in human action recognition , and non-cooperative target identification using radar signatures. His interdisciplinary projects bridge electronics engineering with energy systems, biomedical applications, and educational technology. He actively collaborates with industry and academic institutions on EU-funded projects, contributing to advancements in aerospace instrumentation (PLATO FPA qualification), smart grid technologies, and STEM education innovation.

Bin Chenمشاهده پروفایل

پژوهشگر

• Optical Communications
• Cooperative Communications
• Information Theory
• +۵ مورد دیگر

Bin Chen is a researcher at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), focusing on optical communications, signal processing, and information theory. He holds a PhD from University College Dublin (2015), supported by the China Scholarship Council and Science Foundation Ireland. His roles include Postdoc positions in the Signal Processing Systems (SPS) and Electro-Optical Communication Systems (ECO) groups at TU/e, and a current guest researcher affiliation. His research emphasizes geometric shaping, coded modulation, and nonlinear channel mitigation in optical systems. Education: B.Sc. Electronic Information Science and Technology, Hefei University of Technology (2010) Ph.D. Electronics and Communications Engineering, University College Dublin (2015) Affiliations: Signal Processing Systems Group (SPS) Electro-Optical Communication Systems (ECO) Group ICT Lab Research interests include optical communication systems, cooperative communications, channel coding, and network coding. Key achievements include over 60 peer-reviewed publications and awards such as the Asia Communications and Photonics Conference Best Paper Awards (2018, 2022). He has contributed to projects like PATRIOT (coded modulation optimization) and NLCAP (nonlinear capacity maximization in optical channels). Grants and collaborations span EU-funded initiatives and industry partnerships. His work on multidimensional constellations and fiber nonlinearity models has advanced long-haul transmission systems. Current projects explore neural network-based demappers and hybrid decoding techniques.

Christine Muschikمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Information Science
• Quantum Simulation
• +۳ مورد دیگر

Christine Muschik is an Associate Professor and University Research Chair at the University of Waterloo. Her research focuses on quantum computing, quantum simulation, and theoretical physics, particularly in the context of lattice gauge theories and quantum algorithms. She explores applications of quantum technologies to problems in particle physics, condensed matter physics, and high-energy phenomena. Her work bridges quantum information science with experimental implementations in superconducting circuits, trapped ions, and optical systems. She is affiliated with research groups in Photonics, Atomic/Molecular/Optical Physics, and Quantum Information & Computing. Her research interests emphasize developing scalable quantum algorithms for simulating complex physical systems, error mitigation techniques, and hybrid quantum-classical methods. She investigates topological phases, gauge symmetries, and real-time dynamics in quantum systems. Recent work includes quantum simulations of quantum chromodynamics, variational approaches for hadron dynamics, and superposed quantum gate protocols. Muschik’s publications span quantum error correction, measurement-based algorithms, and the integration of quantum technologies with classical computational frameworks. She collaborates across disciplines to advance both theoretical and experimental quantum computing. Her research contributes to foundational understanding of quantum systems while addressing practical challenges in quantum hardware and algorithm design. Her articles highlight advancements in simulating lattice gauge theories, optimizing variational quantum eigensolvers, and applying neural networks to quantum state tomography. These contributions underscore her role as a leader in applying quantum computing to fundamental physics problems.

Tatevik Chalyanمشاهده پروفایل

پژوهشگر ارشد

• Photonics
• Analytical Chemistry
• Environmental Science
• +۳ مورد دیگر

Roles and Affiliations: Tatevik Chalyan is a Research Fellow at the Vrije Universiteit Brussel (VUB), affiliated with the Brussels Photonics group under the Applied Physics and Photonics department in the Faculty of Engineering. Their work integrates photonics with biomedical and environmental applications, focusing on spectroscopic techniques and microfluidic systems. Research Interests: Chalyan’s research spans photonics, analytical chemistry, and biomedical engineering. Key areas include Raman spectroscopy for disease detection (e.g., liver fibrosis), microplastic analysis in environmental samples, and the development of lab-on-a-chip systems for drug development. Their work often combines machine learning to enhance diagnostic accuracy and material characterization. Notable Projects: Chalyan leads the FWOTM1150 project on liver-on-a-chip systems, advancing non-invasive monitoring of drug impacts via fluorescence and Raman imaging. They also contributed to microplastic detection using light scattering and chemometric methods. Awards: Optica Ambassador (2021), SPIE Community Champion (2020) Advising: Supervised Master’s theses on topics like Raman read-out systems, cell viability analysis, and drug development models. Collaborations: Active in international workshops (e.g., MONPLAS, MAOP2022) and events like the Belgian Photonics Online Meetup.

Mable Fokمشاهده پروفایل

استاد

• Photonics
• Soft Robotics
• Bio-inspired Photonics
• +۵ مورد دیگر

Mable Fok is a Professor and Assistant Dean for Academic and Faculty Affairs at the University of Georgia's College of Engineering. Her research focuses on photonics and soft robotics, with the WAVE Lab advancing interdisciplinary applications in fiber optics, bio-inspired systems, and microwave photonics. She holds 5 patents and has secured funding from NSF, DARPA, and other agencies. Dr. Fok's work emphasizes biomimetic approaches, neuromorphic algorithms, and real-world applications in healthcare, agriculture, and robotics. Education: BSc, MSc, and PhD from Chinese University of Hong Kong, followed by postdoctoral training at Princeton University. Current roles include leading the Photonics and Soft Robotics Lab and overseeing academic affairs in the College of Engineering. Research Interests: Soft Robotics with embedded fiber optic sensors Bio-inspired photonics for adaptive systems Microwave photonics for dynamic RF systems Deep learning integration in sensing applications Key Awards: NSF CAREER Award (202X), UGA Creative Research Medal (202X), Ralph E. Powe Award (202X). Notable achievements include student-led award wins and groundbreaking work in photonics-based sensing. Teaching: Courses include Fiber Optics and You , Fundamentals of Logic Design , and Principles of Lasers and Photonics . Emphasizes foundational knowledge and self-learning skills. Labs/Teams: WAVE Lab (Photonics and Soft Robotics Laboratory) with specialized equipment for photonics, RF, and biomaterials research. Collaborates with industry partners and K-12 outreach programs.

• Photonics
• Biomedical Optics
• Raman Spectroscopy
• +۳ مورد دیگر

Sara Abbasi is a Scientific employee within the Department of Applied Physics and Photonics at the Faculty of Engineering Sciences, Vrije Universiteit Brussel. She is affiliated with Brussels Photonics research group. Her work focuses on advancing photonics technologies for biomedical applications, particularly in Raman spectroscopy-based diagnostics and nano-optical systems design. She has contributed to innovations in SERS (Surface-enhanced Raman Scattering) platforms, including curved SERS substrates and integrated microlens arrays for parallel detection. Education details are not explicitly stated in the text, but her research activities from 2022-2025 and active participation in academic organizing committees indicate a strong academic trajectory. She has collaborated on projects involving hemoglobinopathy screening, pathogen identification, and machine learning integration with optical systems. Her research fingerprints prominently feature Raman spectroscopy (100% focus), hemoglobin analysis (75%), and liquid-phase optical systems. Notable contributions include developing novel microfabrication techniques for optical sensors and creating automated classification systems for biomedical spectra. Awards : Belgian Photonics Online Meetup 2022: Best poster prize (Jury Choice) Best Student paper award at SPIE Photonics Europe 2024 Advising & Collaboration : Co-organized the 38th International Symposium on Microscale Separations and Bioanalysis (MSB 2022) Collaborated with researchers like A. Feizpour, H. Thienpont, and PDIH Ottevaere on multiple projects Labs/Teams : Brussels Photonics Group, Applied Physics and Photonics Department labs

• Antennas
• Metamaterials
• Frequency Selective Surfaces (FSS)
• +۷ مورد دیگر

Associate Professor Wayne Rowe is an academic at RMIT University's School of Engineering, specializing in Electrical and Computer Engineering. He holds the rank of Associate Professor and has been with RMIT since 1998, progressing through roles including Research Fellow, Lecturer, and Senior Lecturer. His primary affiliations are within the School of Engineering's Electrical and Computer Engineering department. Research interests focus on antennas, metamaterials, frequency selective surfaces (FSS), and their integration with flexible materials. His work spans microwave, millimeter-wave, and THz frequencies, with applications in biomedical implants, energy harvesting, and IoT systems. Notable projects include DMTC Project 2.3 on composite materials, ARC-funded research on photonic antennas, and collaborations with industry partners like Cochlear and BAE Systems. Dr. Rowe leads over 20 active research projects, including supervision of topics such as metamaterial-based antennas for IoT, wearable communication devices, and machine learning applications in signal processing. He has contributed to 185+ publications, with recent work emphasizing 5G/6G systems, satellite localization, and deep learning for device authentication. His teaching covers antennas, microwave components, and electromagnetic sensing technologies. Dr. Rowe operates from RMIT's City Campus in Melbourne, Australia, and is open to supervising Masters and PhD candidates in his research areas. He is a member of the IEEE Microwave Theory and Techniques (MTT) and Antennas and Propagation (AP) societies.

Mohammad Mozumdarمشاهده پروفایل

استاد

• Embedded Systems
• Sensor Networks
• Cyber-Physical Systems
• +۳ مورد دیگر

Dr. Mohammad Mozumdar is a Professor in the Department of Electrical Engineering at California State University, Long Beach (CSULB), where he has been since 2012. He holds a Ph.D. from Politecnico di Torino (Italy), an M.Sc. from RWTH Aachen University (Germany), and a B.Sc. from Bangladesh University of Engineering Technology. His research focuses on embedded systems, sensor networks, cyber-physical systems, and energy-efficient control systems. Dr. Mozumdar's academic journey includes a postdoctoral fellowship at UC Berkeley, where he contributed to model-based design methodologies for sensor networks. His work bridges theoretical frameworks with practical applications, emphasizing real-time constraints and safety in distributed systems. His research has been published globally and translated into multiple languages. He actively contributes to the scientific community as a reviewer and conference organizer. His interdisciplinary projects span smart infrastructure, automotive cybersecurity, additive manufacturing quality control, and energy harvesting for battery-less systems. Despite no explicitly listed awards, his prolific publication record reflects recognition in his fields. His teaching and advising activities include office hours and courses in electrical engineering, though specific student names or grant details are not documented here. Lab and team collaborations are mentioned but details are unavailable due to a 404 error in linked resources.

• Integrated Photonics
• Imaging Systems
• Medical Diagnostics
• +۷ مورد دیگر

George Giakos is a Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY, and Director of the Graduate Program. Previously, he served as a Professor at the University of Akron for over 20 years, directing imaging technologies and surveillance laboratories. His research focuses on imaging systems, photonics, medical diagnostics, and defense applications. Giakos holds a PhD from Marquette University and has authored over 200 peer-reviewed articles, 16 patents, and received prestigious awards including the IEEE Fellow distinction and the 2014 IEEE-USA Professional Achievement Award. Education Ph.D., Electrical & Computer Engineering, Marquette University M.S., Nuclear Physics, Ohio University Postgraduate Diploma, Nuclear Instrumentation, University of Edinburgh Laurea, Applied Physics, University of Turin Research Interests Giakos pioneers advancements in imaging devices and systems, integrating photonics, nanotechnology, and bio-inspired techniques. His work spans medical diagnostics (e.g., cancer detection via polarimetric imaging), defense (space surveillance, autonomous systems), and semiconductor characterization. He emphasizes interdisciplinary innovation, bridging defense and bioscience through novel imaging paradigms. Articles Overview Recent work includes neuromorphic architectures for space IoT, adversarial machine learning in power grids, and interdisciplinary frameworks for systematic innovation. His research often combines AI with domain-specific applications, addressing challenges in healthcare site selection, cybersecurity, and quantum sensing. Awards IEEE Fellow (2014) ONR Distinguished Faculty Fellow (2005) AFRL Space Surveillance Fellowships (2007–2009) NASA Faculty Fellowships (2000, 2001, 2004) Advising & Grants Giakos has secured over $6M in grants as PI, collaborating with AFRL, NASA, and industry partners like Lockheed Martin. His leadership spans IEEE committees, including chairing the TC-19 Imaging Systems Technical Committee and organizing international conferences like IEEE International Conference on Imaging Systems and Techniques. Labs & Teams Directs Manhattan College’s imaging and surveillance laboratories, advancing technologies such as multifusion polarimetric detection and bio-inspired robotic vision systems. His team develops platforms like the AFRL Multifunctional Imaging Surveillance system for defense and medical applications.