جست‌وجوی استاد و پژوهشگر

Ahmad Adnan Qidanمشاهده پروفایل

پژوهشگر

• Optical Wireless Communication
• Machine Learning in Communications
• Wireless Networks
• +۳ مورد دیگر

Dr. Ahmad Adnan Qidan is a Research Associate in the Department of Engineering at King’s College London, UK. He previously served as a Research Fellow at the Institute of Communication and Power Networks within the School of Electronic and Electrical Engineering at the University of Leeds (2020-2023). His career focuses on advancing optical wireless communication systems through AI-driven optimization. PhD in Multimedia and Communications from Universidad Carlos III de Madrid (2020) Current affiliation: King’s College London Past affiliation: University of Leeds Dr. Qidan's research bridges optical wireless communication with machine learning , targeting efficiency in high-speed networks. Key areas include interference management , power allocation , and dynamic resource optimization . His publications highlight trends in AI/ML for OWC , NOMA systems , and IRS technologies , with recent work addressing satellite-terrestrial network integration and energy-efficient architectures. Outstanding Thesis Award (2020-2021) - Universidad Carlos III de Madrid IEEE PhD Thesis Award (2020) - IEEE Spanish Signal Processing and Communications Dr. Qidan contributes as a reviewer to leading IEEE journals and has published extensively on AI-driven solutions for optical wireless systems, despite no explicit mention of student advising or grant funding.

Achim Sackمشاهده پروفایل

پژوهشگر

• Granular Matter Physics
• Fluid Dynamics
• Microgravity Experiments
• +۳ مورد دیگر

Dr. Achim Sack is affiliated with the Friedrich-Alexander-Universität Erlangen-Nürnberg, contributing to research in granular matter physics, fluid dynamics, and microgravity experiments. His work spans interdisciplinary fields including medical imaging, materials science, and computational physics. He has collaborated extensively with Prof. Thorsten Pöschel and others on topics such as granular dampers, robotic grippers, and pharmaceutical stability analysis using tomographic techniques. Key research themes include understanding granular dynamics under microgravity conditions, developing imaging technologies for material characterization, and exploring the behavior of fluids and particles in extreme environments. His publications highlight advancements in neural network-based image reconstruction (TSS-ConvNet) and novel experimental setups for studying crack propagation and structural defects in pharmaceuticals. Recent articles (2024) focus on acoustically propelled macroparticles and automated tomographic assessment of freeze-dried drugs, reflecting trends toward integrating machine learning with traditional experimental methods. His work bridges fundamental physics with applied engineering solutions, particularly in space-related technologies and biomedical applications. No scientific awards are explicitly mentioned in the provided texts. Dr. Sack’s lab collaborations involve designing granular grippers and investigating granular jamming phenomena. His research has been supported by experimental facilities such as X-ray tomography setups and high-resolution imaging systems, with a focus on advancing both theoretical models and practical applications in materials science and robotics.

• Digital Signal Processing
• Satellite Communications
• Space Technology
• +۳ مورد دیگر

Vendela Maria Paxal is an Adjunct Professor at the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU). She is affiliated with the Circuit and Radio Systems research group. Her professional roles include Project Manager and R&D Department Manager at Indra Navia AS (since 2010), and she has held leadership positions at companies like Fast Search & Transfer and Nera Broadband Satellite. She also served as a Research and Development Engineer at Telenor R&D and Société Anonyme des Télécommunications (SAT). Education: MSc from Université d'Aix-Marseille III, Faculté de St. Jerôme Diplôme d'Ingénieur en Télécommunications, delivered by Ministére des Postes, des Télécommunications et de l'Espace, École Nationale Supérieure des Télécommunications, Paris Doctor Technicae (NTNU), dissertation: 'Advanced Digital Signal Processing Algorithms for High Speed Applications' Research & Professional Contributions: Paxal specializes in digital signal processing, satellite communication systems, and space technology. She has led projects for the European Space Agency (ESA), including Mini-GW, CODES, and DVB-RCS standardization. Her work spans international collaborations in RACE FIRST, SINUS, NICE, EURESCOM P816, and COST 253. She contributed to the European Broadcast Union’s DVB-RCS standardization forum. Teaching: She instructs advanced courses at NTNU, including: FE8122 - PhD Seminar in Circuit and Radio Systems Design TFE4595 - Electronic Systems Design (Specialization Course) TFE4590 - Electronic Systems Design (Specialization Project) TTT4234 - Space Technology I

Jenny Leeمشاهده پروفایل

استاد

• Internationalisation of higher education
• Geopolitics of academic knowledge
• Student mobility and migration
• +۳ مورد دیگر

Jenny Lee is Professor at the University of Arizona and inaugural Dean of Arizona International College, a strategic academic unit overseen by the Provost and dedicated to transnational education, global engagement, and border-crossing research initiatives. Her career integrates senior academic leadership with a prolific research portfolio focused on the geopolitics of higher education. Education & Academic Rank: While the source does not list her degrees, her continuous publication record since 2000 and current full professorship indicate a standard U.S. tenure-track trajectory culminating in the rank of Professor. Research Focus: Lee interrogates how global power asymmetries—especially US-China rivalry—shape student mobility, faculty collaboration, and knowledge production. She critiques neo-racism embedded in internationalisation policies and examines universities as both sites of soft-power projection and spaces of resistance. Methodologically she combines large-scale bibliometric analyses with qualitative accounts of student and scholar experiences. Publication Trends: Across 2020-2022 her articles converge on three inter-related themes: (1) the weaponisation of research policy amid geopolitical tension; (2) the reconfiguration of student and faculty mobility after COVID-19; and (3) the stratifying effects of rankings and micro-campus models on global higher education. Awards & Funding: No specific awards or grants are cited in the scraped material, but her sustained output in high-impact journals and editorial invitations signal scholarly recognition. Advising & Mentoring: No individual student names are supplied; however, her 2017-2020 pieces on graduate climate, mentoring in service-learning, and post-doc experiences suggest active supervision and mentoring roles. Labs & Teams: As Dean she leads Arizona International College, an organisational hub that liaises with academic departments, global partner universities, and international-affairs units to deliver joint-degree and micro-campus programmes.

Pierre Didierمشاهده پروفایل

پژوهشگر

• Photonics
• Quantum Optoelectronics
• Mid-infrared Optics
• +۳ مورد دیگر

Dr. Pierre Didier is a Researcher at the Institute of Quantum Electronics (ETH Zürich), specializing in mid-infrared photonics and quantum optoelectronics. His work focuses on advancing free-space optical communication systems, particularly leveraging interband cascade lasers and metamaterials for secure and high-speed data transmission in atmospheric transparency windows. Key research areas include optical chaos encryption, semiconductor laser dynamics, and energy-efficient optoelectronic devices. Education details are not explicitly provided in the text, but his affiliation with ETH Zürich indicates advanced academic qualifications in physics or electrical engineering. His research emphasizes bridging the terahertz domain and optimizing communication systems in mid-infrared spectral ranges. Recent publications highlight innovations in high-speed free-space links, broadband optical chaos generation, and atmospheric transmission optimization. No awards or grants are mentioned in the provided texts. He collaborates on projects involving room-temperature operation of quantum cascade lasers and silicon-integrated photonics. Labs/Teams: Active within the Institute of Quantum Electronics at ETH Zürich, contributing to cutting-edge research in quantum optoelectronics and mid-infrared technologies.

Catherine Highamمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Quantum Optics
• Systems Biology
• +۴ مورد دیگر

Dr. Catherine Higham is a Research Fellow in the School of Computing Science at the University of Glasgow, affiliated with Prof. Rod Murray-Smith's Inference, Dynamics and Interaction group. Her work focuses on applying machine learning and statistical methods to inverse problems in quantum optics and systems biology. Previously, she held roles as a Research Associate in the EU-funded TiMet project (2012–2015) and completed a Daphne Jackson Trust Fellowship (2006–2008) followed by a Lord Kelvin/Adam Smith PhD Scholarship (2008–2012) at Glasgow. Education includes a Mathematics degree from the University of Oxford, an MBA from City University London (sponsored by Novaction), and a PhD in computational biology from the University of Glasgow under Prof. Darren Monckton. Her interdisciplinary research spans machine learning, statistical inference, high-performance computing, and collaborative work with experimental scientists. Research interests emphasize developing algorithms for data-driven scientific understanding, particularly in quantum technologies and biomedical applications. Key contributions include Bayesian deep inversion, quantum annealing for neural networks, and parameter estimation in biological systems. She has also explored applications in single-pixel imaging and LiDAR optimization. Scientific awards include the Daphne Jackson Trust Fellowship and Lord Kelvin/Adam Smith PhD Scholarship. Grants include EPSRC UK Quantum Technology Programme funding. Catherine's work bridges computational methods with real-world challenges in physics, biology, and linguistics, supported by collaborations across disciplines.

Ouldooz Baghban Karimiمشاهده پروفایل

مدرس

• Networks and Systems
• Data Security and Privacy
• Data Communications
• +۴ مورد دیگر

Ouldooz Baghban Karimi is a Lecturer at Simon Fraser University's School of Computing Science, serving as Chair of the CS Diversity Committee and holding the Rajan Family Scholar title. She specializes in Networks and Systems, Data Security, and Cloud Computing Education. Her research emphasizes diversity and inclusion in computing curricula, open educational resources, and project-based learning methodologies. Education: PhD in Computer Science from Simon Fraser University (SFU), MSc in Computer Engineering from Iran University of Science and Technology, and BSc in Computer Engineering from University of Tehran. Research Interests: Her work focuses on integrating diversity initiatives into computing education, optimizing wireless networks, and advancing cloud computing curricula through vendor certifications. Key areas include curriculum design, admissions equity, and pedagogical strategies for inclusive education. Publications Trends: Recent articles highlight diversity in admissions processes, open educational resources, and project-based learning. Earlier work explores wireless network optimization, multicast protocols, and virtual MIMO systems. Awards: Rajan Family Scholar Teaching and Contributions: Teaches courses in Data Communications, Cloud Security, and special research projects. Actively involved in shaping computing education policies and fostering inclusive academic environments. Labs/Teams: Engaged with SFU's School of Computing Science research groups, focusing on educational technology and network systems innovation.

Gerald Quentin Maguire Jr.مشاهده پروفایل

استاد

• Data Communications
• Medical Image Processing
• Mobile Computing and Communication
• +۳ مورد دیگر

Gerald Quentin Maguire Jr. is a Professor (emeritus) at KTH Royal Institute of Technology, Sweden, specializing in Computer Science and Communication Systems. He holds a Ph.D. in Computer Science from the University of Utah and a B.A. in Physics from Indiana University of Pennsylvania. His academic roles include Professor of Computer Communication at KTH since 1994, and prior positions at Columbia University and the U.S. National Science Foundation. He has contributed to fields like data communications, medical imaging, and mobile computing. Education: Ph.D. in Computer Science, University of Utah, 1983 M.S. in Computer Science, University of Utah, 1981 B.A. in Physics (magna cum laude), Indiana University of Pennsylvania, 1975 Research Interests: Focuses on network protocols, mobile computing, medical imaging integration, and high-performance computing. His work includes cognitive radio systems, GPU-centric networking, and CT/PET fusion for medical diagnostics. Awards: IEEE Fellow (2013) Teacher of the Year (2006/2007, KTH) Giovanni DiChiro Award (1997) Multiple honors in medical imaging and network research Advising & Grants: Supervised 8 doctoral students and over 75 master's students. Authored 5 books and numerous papers, with over 200 invited lectures globally. His research has been supported by grants from Swedish and international funding bodies. Labs & Teams: Formerly led the Computer Communication Systems Lab (CCSlab) at KTH and collaborated with Karolinska Institutet on medical imaging projects.

Saad Mansoorمشاهده پروفایل

مدرس ارشد

• Modelling and Simulation
• Non-linear Systems
• Computer Networks
• +۵ مورد دیگر

Dr. Saad Mansoor is a Senior Lecturer in Computer Science at Bangor University's School of Computer Science and Engineering , appointed in 2003. He serves as Postgraduate Course Manager and Admissions Tutor, with teaching expertise in computer science, modeling, and simulation. Education: Doctor of Science (DSc), University of Wales, Bangor (2000) Research Interests focus on: Modeling and analysis of non-linear systems Computer network security and dynamics Control theory applications in hydropower systems Simulation methodology development His publications span hydropower plant modeling , optical network innovations , and control system design , with collaborations across academia and industry. Key projects include Water4Cities (2017-2022) and NCTCW (2013-2015). Scientific Awards: 2023 Queen's Anniversary Prize for Grid Stability Research As Head of School, he leads academic strategy while maintaining active research roles in the VDMG research group and supervising postgraduate work.

Victor Khilkevichمشاهده پروفایل

استاد پژوهشی

• Electromagnetic Compatibility (EMC)
• Microwave Imaging
• Automotive Electromagnetic Modeling
• +۷ مورد دیگر

Dr. Victor Khilkevich is a Research Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology (Missouri S&T). Affiliated with the EMC Laboratory in Rolla, Missouri, his work focuses on electromagnetic compatibility, microwave imaging, and high-frequency measurement methodologies. His research interests include: Microwave Absorber Design PCB Electromagnetic Characterization Signal Integrity Analysis EMI Source Localization Near-Field Scanning Techniques Automotive EMC Modeling Recent publications examine plane wave coupling to PCBs, microwave holography for EMI source imaging, and 3D printed multilayer absorbers. These works span fields like: Electromagnetic Compatibility Printed Circuit Board Engineering Microwave Measurement Systems Computational Electromagnetics Materials Science Transmission Line Theory Scientific awards include multiple IEEE EMC Society recognitions, Distinguished Reviewer status, and Missouri S&T Faculty Achievement Awards.

• Computer Networking
• Low Latency Communication
• Multi-Path Systems
• +۳ مورد دیگر

Johan Garcia is an Associate Professor of Computer Science at Karlstad University, Sweden, where he earned his Ph.D. in 2005. His research focuses on computer networking, particularly low-latency communication in multi-path systems, Starlink satellite performance, and deterministic network emulation using tools like KauNetEm. He has led projects such as the 8-year DRIVE initiative and the HITS project, collaborating with industry partners like Icomera. His work includes evaluating cellular and satellite connectivity for trains, as well as machine learning explainability and network protocol optimization. Education: Ph.D. in Computer Science (Karlstad University, 2005). Key projects include KauNetEm development, mobility testing across the Arctic Circle for Starlink/5G, and sectorization-based localization algorithms for eNodeBs. His research spans wireless networking, protocol evaluation, and algorithmic optimization for network reliability and performance. Research interests include: satellite communication performance, cellular networks in high-speed mobility, deterministic network emulation, ML model interpretability, and protocol efficiency in heterogeneous networks. He has advised multiple master’s and bachelor’s projects and contributed to over 100 publications since 2000. Notable collaborations include the EU FP6 Newcom Network of Excellence and the Swedish Knowledge Foundation-funded 'Reliable and Secure Communication in SCTP' project. Current roles include sub-project manager in DRIVE and co-leader of wireless network modeling work packages.

Eric R. Fossumمشاهده پروفایل

استاد

• Solid-State Image Sensors
• CMOS Technology
• Photon-Counting Sensors
• +۳ مورد دیگر

Eric R. Fossum is the John H. Krehbiel Sr. Professor for Emerging Technologies at Dartmouth's Thayer School of Engineering, serving as Vice Provost for Entrepreneurship & Technology Transfer and Director of the PhD Innovation Program. He invented the CMOS active pixel sensor, revolutionizing digital imaging used in smartphones, webcams, and medical devices. His research focuses on next-generation photon-counting and gigapixel sensors. Education : BS in Physics/Engineering (Trinity College, 1979), MS and PhD in Engineering (Yale, 1980/1984). Research : Solid-state image sensors, Quanta Image Sensors (QIS), low-light imaging, and entrepreneurial technology transfer. Notable contributions include the CMOS 'camera-on-a-chip' and co-founding Photobit and Gigajot Technology. Key Awards : National Medal of Technology & Innovation (2025), Queen Elizabeth Prize (2017), Emmy Engineering Award (2021), NAE Member, NAI Fellow. Entrepreneurship : Advised startups, led industry partnerships, and pioneered sensor commercialization. Active in tech transfer, patent filings (185+ granted), and academic-industry collaboration. Labs/Teams : Directs the PhD Innovation Program and collaborates on advanced sensor development, including the Quanta Image Sensor project and NASA-related imaging technologies.

Neil Goldsmanمشاهده پروفایل

استاد

• Device physics
• Electron transport in high-electric fields
• Microelectronic device reliability
• +۳ مورد دیگر

Neil Goldsman is a Professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, affiliated with the A. James Clark School of Engineering. His research focuses on device physics, electron transport in high-electric fields, microelectronic reliability, and semiconductor device modeling. Notable contributions include advancements in Silicon Carbide (SiC) integrated circuits, UV photodetectors, and nanofabrication techniques. He has led projects such as a MIPS contract with TRX Systems for indoor emergency tracking systems and energy-driven signal processing in sensor networks. Dr. Goldsman holds a Ph.D. from Cornell University and has been recognized with awards like the University of Maryland Invention of the Year (2008) and the George Corcoran Award (1990). His academic leadership includes teaching courses like ENEE694 (Semiconductor Devices) and ENEE408D (Mixed Signal VLSI Design). He has co-founded companies like CoolCAD Electronics, which developed innovative electronic security solutions, and holds patents in SiC-based photodetectors and flexible energy storage systems. His recent work emphasizes high-temperature power electronics, radiation-resistant devices, and optoelectronic integration. Collaborations include partnerships with NASA and industry leaders, reflecting his commitment to bridging academic research with practical applications in aerospace, defense, and energy sectors.

Pasquale Daponteمشاهده پروفایل

استاد

• Electrical Measurements
• Electronic Measurements
• Signal Processing
• +۵ مورد دیگر

Pasquale Daponte is a Full Professor in the Department of Engineering at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His research focuses on measurement systems, signal processing, and instrumentation with particular expertise in analog-to-digital conversion technologies, compressed sensing applications, and unmanned aerial vehicle systems. Professor Daponte's research interests span several key areas in electrical measurements and instrumentation: Dynamic characterization methods for analog-to-digital and digital-to-analog converters Algorithms for numerical processing of measurement signals Architectures and software for distributed measurement systems Distance learning systems in engineering education Applications of compressed sensing in various measurement contexts UAV-based measurement systems His publication record demonstrates consistent contributions to measurement science, particularly in converter testing methodologies and standards development. Professor Daponte has been actively involved in IEEE standardization efforts, contributing to key documents on analog-to-digital and digital-to-analog converter testing. His recent work shows a growing emphasis on compressed sensing applications across multiple domains including spectrum monitoring, ECG signal processing, and radio frequency localization. Professor Daponte maintains an active research group with frequent collaborations with colleagues including Luca De Vito, Sergio Rapuano, and Francesco Picariello. His work bridges theoretical measurement principles with practical engineering applications across biomedical, communications, and industrial domains.

• Biomedical Engineering
• Integrated Circuits
• Flexible Electronics
• +۳ مورد دیگر

Fabrice Seguin is a Lecturer at IMT Atlantique 's Department of Optics (OPT), with over two decades of expertise in integrated circuit design for biomedical sensors and flexible electronics. His career began at Telecom Bretagne in 2002 after completing his PhD in Bordeaux (2001) on high-speed current-conveyors for RF circuits. Research Focus Smart contact lens systems for eye tracking Stretchable textile transducers for biomechanical/flow sensing Low-power analog/digital processing for autonomous sensors Medical imaging photonics (liquid xenon detectors) Key Publications highlight advancements in: Multiphoton Compton cameras via Time-Over-Threshold photon counting PEDOT:PSS-coated elastane yarns with 600% stretchability Subthreshold CMOS ASICs for gaze tracking with 0.2° accuracy Scientific Awards include the 2nd OPTIM-ABB Prize Paper Award (2002). His patents cover contact lens eye-tracking systems and RF energy harvesters. Seguin co-leads the Hardware Architectures and CAD Tools team at Lab-STICC and contributes to PRACOM research pole.