جستجوی استاد راهنمای دانشگاهی

Jacobus Van der Merweمشاهده پروفایل

استاد

• Networking
• Security
• Mobile Networking
• +۴ مورد دیگر

Jacobus Van der Merwe is a Professor in the Department of Computer Science at the University of Utah's School of Computing. His research spans Networking , Security , and Mobile Networking , with a focus on wireless spectrum management, SDN/NFV, and cloud-based network infrastructure. Current projects: TCloud, PhantomNet, POWDER platform Leadership: Directed research in Radio Dynamic Zones, Zero-Trust architectures, and O-RAN systems Collaborations: Involved in IEEE and ACM conferences, Flux research group Research trends include: Wireless spectrum sharing and security (SigDetect, OZTrust) SDN/NFV applications in mobile networks (dNextG, RESCue) AI-driven network optimization (Spectrum LSTM prediction) Cloud-centric security and transparency (CloudSight, CapNet) Scientific awards include a Best Paper Award at IEEE DySPAN 2024 for POWDER-RDZ research. Advising and grants : Mentored numerous PhD/Master's students like Kirk Webb, Ryan West, and Hao Jiang. Secured funding for initiatives like the POWDER platform and PhantomNet infrastructure.

Yassine MHIRIمشاهده پروفایل

دانشیار

• Statistical Signal Processing
• Computational Imaging
• Radio-Interferometry
• +۷ مورد دیگر

Yassine MHIRI is an Associate Professor at the LISTIC laboratory of Université Savoie Mont Blanc. His research focuses on statistical signal and image processing, computational imaging, and their applications in radio-interferometry, hyperspectral imaging, and sensor arrays. Key contributions include methodologies for robust statistical modeling, unrolled algorithms, and plug-and-play neural networks. He holds a Ph.D. from Université Paris-Saclay and conducted postdoctoral research at Université Paris Cité on hyperspectral imaging within the ANR project Fu-MultiSpoc. Education: Ph.D. in Statistical Signal Processing (2023), Université Paris-Saclay M.S. in Electronics and Signal Processing (2018), ENSEEIHT, Toulouse Professional Experience: Associate Professor (2024–present), LISTIC, Université Savoie Mont Blanc Postdoctoral Researcher (2023–2024), MAP5 Lab, Université Paris Cité PhD Research (2020–2023), SATIE Lab, Université Paris-Saclay Research Engineer (2019–2020), Phasics (wavefront sensor algorithms) His research integrates statistical learning, inverse problems, and neural networks to address challenges in radio interferometry and hyperspectral imaging. Notable work includes developing the pfb-clean library for MeerKAT telescope imaging and advancing robust EM algorithms for outlier-resistant imaging. His recent focus includes hyperspectral denoising and Fourier-based reconstruction techniques. Grants & Projects: ANR Fu-MultiSpoc (hyperspectral imager development), contributions to the Africanus imaging suite. Labs & Collaborations: LISTIC (current), SATIE (PhD), MAP5 Lab (postdoc), and Gipsa-Lab (collaboration).

Michael Renzlerمشاهده پروفایل

مدرس

• Antenna Design
• Structural Health Monitoring
• Wireless Sensor Networks
• +۴ مورد دیگر

Michael Renzler is currently a Lecturer at MCI – Die unternehmerische Hochschule, specializing in Smart Building Technologies. Previously, he held roles such as Senior Scientist (2020–2023), PostDoc (2016–2020), and Research Assistant (2013–2016) at the University of Innsbruck's Institutes for Mechatronics and Ionenphysik. His research focuses on antenna design, structural health monitoring, wireless sensor systems, and nanotechnology. He earned his PhD in Physics (2016), MSc (2013), and BSc (2010) from the University of Innsbruck, following an Electronics diploma (2006). Key research areas include evolutionary optimization of antennas, IoT integration, and material characterization using helium nanodroplets. His work spans disciplines like electrical engineering, computational chemistry, and sensor technology. Notable contributions include developing a portable sensor system for crime prevention and a smart bed insert for elderly care monitoring. He has been awarded the Eduard-Wallnöfer-Preis für Technik und Wissenschaft (2023) and has undergone extensive training in third-party funding management and teaching excellence. Renzler has contributed over 30 peer-reviewed articles, with recent publications emphasizing pixelated antenna design, structural health monitoring, and ultra-low-temperature chemical reactions. His teaching spans physics fundamentals, digital technology, and electromagnetic compatibility at the University of Innsbruck (2016–2024). He also served as a student representative (2011–2013) and actively participates in academic associations.

Agis Iliadisمشاهده پروفایل

استاد

• Nanotechnology
• Semiconductor Devices
• CMOS IC Technology
• +۵ مورد دیگر

Agis Iliadis is a Professor of Electrical and Computer Engineering at the University of Maryland, College Park, and Director of the Semiconductor Nanotechnology Research Laboratory. He holds affiliations with the Maryland NanoCenter and serves as a Senior Member of IEEE, Distinguished Lecturer in IEEE-EDS, and on multiple technical committees. His research focuses on nanotechnology, semiconductor devices, CMOS IC technology, wide band-gap semiconductors (e.g., ZnO, SiC), sensors, and electromagnetic interference (EMI) mitigation. Key contributions include self-assembled nanostructures, Schottky contacts, and nanocomposite materials integrated with CMOS processes. Education: Ph.D. and M.Sc. in Electrical Engineering from UMIST (UK). Research Labs: Semiconductor Nanotechnology Research Laboratory. Notable Awards: R.F. Bunshah Award (2004), Best Paper Award for biosensor research (2006), and multiple IEEE recognitions. Research Interests: Elemental/compound semiconductors, light-emitting processes, ohmic/schottky metallization, epitaxial growth. Recent work includes CMOS-compatible nanosensors, GaN betavoltaic devices, and quantum dot noise analysis. Publications: Over 100 peer-reviewed articles in journals like IEEE Trans. Electromagnetic Compatibility , Journal of Applied Physics , and Biosensors and Bioelectronics . Recent trends emphasize RF sensor design, EMI effects on CMOS circuits, and biofilm monitoring via SAW sensors. Grants & Outreach: Organized international conferences (e.g., ISDRS 2001, 2016), advised graduate students on nanotechnology and semiconductor topics, and contributed to MERIT projects on optical communication systems. Labs/Teams: Leads interdisciplinary teams in microelectronics, collaborating with institutions like SPIE and ECS. Active in industry partnerships for sensor and energy-harvesting applications.

• Microwave Engineering
• MEMS Technology
• Terahertz Systems
• +۳ مورد دیگر

Syed Umer Abbas Shah is a Researcher at the Department of Micro and Nanosystems, KTH Royal Institute of Technology since May 2016. He holds a PhD in Microsystem Technology from KTH (2014), an MSc in Wireless Engineering from DTU (2007), and a BS in Engineering from GIK Institute (2003). His research focuses on millimeter-wave and terahertz micromachined components, including filters, phase shifters, waveguides, and antennas, emphasizing MEMS reconfigurability for tunability. He has received the IEEE MTT Graduate Fellowship Award (2014) and a best paper award at the 2010 Asia-Pacific Microwave Conference. His teaching includes courses such as 'Build your own Radar System' and 'Hands-On Microelectromechanical Systems Engineering.' Key research areas span MEMS-based high-frequency systems, with publications on sub-THz radar, waveguide components, and antenna design. His work addresses challenges in reconfigurable systems, beam steering, and high-frequency integration.

Muhammad Ali Babar Abbasiمشاهده پروفایل

دانشیار

• Microwave/Millimeter-wave Antennas
• Metamaterials and Transformation Electromagnetics
• Beamformers and Multi-antenna Systems
• +۴ مورد دیگر

Dr. Muhammad Ali Babar Abbasi is an Associate Professor (Reader) at the Centre for Wireless Innovation (CWI) within the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. He holds a PhD from Frederick University under the Erasmus Mundus Doctoral Scholarship and has held roles including Postdoctoral Research Fellow, Lecturer, and Senior Lecturer. His research focuses on microwave/millimeter-wave antennas, metamaterials, beamformers, and AI-driven electromagnetics. He has supervised numerous PhD students and leads/co-leads multiple research projects with grants totaling over £1.66 million. Education: PhD (Frederick University), M.S. (NUST SEECS), B.S. (COMSATS-UI). Awards include the 2019 Mobile World Scholar Challenge Grand Prize and IEEE/AP-S Young Professional Ambassadorship. He teaches courses like High-Frequency Systems Technique and Communications (Electromagnetics and Antennas). Current funded PhD topics include advanced beamforming hardware and active polarization antennas. Key projects include the Future Communications Hub (HASC), EME Hub, and REASON (Open Networks). Awards highlight his contributions to 5G beamforming and security, with media recognition as a top 100 global 5G influencer.

Neil Buchananمشاهده پروفایل

استاد

• Antenna Design
• Wireless Power Transfer
• Space Applications
• +۳ مورد دیگر

Dr Neil Buchanan is a Reader in the School of Electronics, Electrical Engineering, and Computer Science at Queen's University Belfast. He is affiliated with the Wireless Communication Systems Institute and ECIT (Institute of Electronics, Communications & Information Technology). His research focuses on advanced antenna systems, wireless power transfer, space communication technologies, healthcare sensors, and high-efficiency RF circuits. Buchanan leads major projects such as R-NGIN (Next Generation Information Networks) and has pioneered innovations in retrodirective arrays, self-steered antennas, and satellite communication systems. He has secured £multi-million grants and holds 8 awards including the Belfast Business Top 50 Award (2012) and ESA Young Antenna Engineer Prize (2010). His research group collaborates globally, with recent work on microwave energy beaming for space-based solar farms, anti-plagiarism remote labs, and AI-resistant educational tools. Buchanan advises two PhD students and actively engages in public outreach via BBC and RTE media appearances on topics like space energy and wireless power. Key Projects: R-NGIN (2023-present), Wireless Power Transfer (2018-2023), FlisH Satellite Dish (2011-2014) Notable Awards: ESA Young Antenna Engineer Prize, Mobile World Scholar Gold Award Media Expertise: Featured in BBC Radio Ulster, RTE Futureville, and BelfastLive on solar farms and space energy Buchanan's work bridges academia and industry through innovations like hybrid delay-locked loops for satellite systems and novel RFID transceivers for healthcare applications. His lab hosts cutting-edge research in 5G/6G antenna design, beamforming techniques, and phased array systems.

Randall Lehmannمشاهده پروفایل

مدرس ارشد

• Microwave Engineering
• RF Design
• Millimeter-wave Technology
• +۳ مورد دیگر

Randall Lehmann is a Senior Lecturer III in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas (UTD). He holds a Ph.D. in Electrical Engineering from Southern Methodist University (1996), and M.S. and B.S. degrees from the University of Illinois (1976 and 1974). His research and professional interests span microwave engineering, RF design, millimeter-wave technology, and MMICs. He has authored over 30 publications and holds six patents. His teaching philosophy emphasizes character development alongside technical expertise, earning him the 2014 Regents’ Outstanding Teaching Award. Professional Preparation: Ph.D., Southern Methodist University, 1996 M.S., University of Illinois, 1976 B.S., University of Illinois, 1974 Lehmann’s career includes roles at Texas Instruments, Raytheon, and TriQuint Semiconductor, where he held positions such as Manager and Director. He is a Senior Member of IEEE and a registered Professional Engineer in Texas. He has served on IEEE committees, including the International Microwave Symposium Steering Committee, and contributed to editorial roles for the IEEE Transactions on Microwave Theory and Techniques. His professional awards include the 1998 IEEE MTT-S Microwave Application Award for innovations in MMIC low noise amplifiers and the 1996 Outstanding Engineer Award from IEEE-Dallas. He actively participates in academic outreach, such as the RF Mini-Symposium at Baylor University.

• Electrical and Electronic Measurement
• Compressive Sampling
• Data Acquisition Systems
• +۵ مورد دیگر

Ioan Tudosa is a Research Fellow at the Department of Engineering, University of Sannio, specializing in electrical/electronic measurements and signal processing. His research focuses on developing advanced measurement systems using compressive sampling techniques, with applications spanning biomedical instrumentation, IoT security, and precision metrology. Research Focus Tudosa's primary research investigates: Novel compressive sampling architectures for data acquisition systems High-accuracy phase measurement instruments (collaborating with NIST on a $1M project) IoT security solutions through hardware measurement techniques Biomedical monitoring systems for ECG and pulse wave analysis Machine learning applications in measurement science His work bridges theoretical signal processing with practical instrumentation design for industrial and medical applications. Publication Trends Tudosa's recent publications demonstrate three key trends: Advancements in compressive sensing for spectrum monitoring and biomedical signal acquisition Integration of machine learning with measurement systems for anomaly detection Development of IoT-enabled monitoring platforms for structural health and industrial safety His research shows consistent focus on improving measurement accuracy while reducing system complexity and power consumption. Research Infrastructure Tudosa collaborates with the National Institute of Standards and Technology (NIST) and leads projects developing specialized testbeds for: High-frequency phase measurement Wireless spectrum monitoring Structural health monitoring using IoT networks Wearable biomedical sensors

• 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.

Piotr Słobodzianمشاهده پروفایل

پژوهشگر

• Electromagnetic Compatibility
• Microwave Engineering
• Antenna Design
• +۵ مورد دیگر

Piotr Słobodzian is a senior researcher at the Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and the Department of Telecommunications and Teleinformatics. With expertise in microwave engineering and computational electromagnetics, his work focuses on antenna design, electromagnetic compatibility, and high-frequency signal processing. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Telecommunications and Teleinformatics Research Interests Słobodzian's research centers on microwave engineering, electromagnetic compatibility, and computational methods. He has developed novel techniques for antenna array synthesis, shielding analysis using SIE-MoM-DD methods, and analytical formulas for electromagnetic integrals. His work also explores the interaction of high-power microwave (HPM) pulses with critical infrastructure and microfluidic systems for nanoparticle synthesis. Publications Overview His recent publications (2022–2025) highlight advancements in: Flat-top beam radiation pattern synthesis for antenna arrays EM susceptibility modeling of shielded systems Weakly singular integral calculations for electromagnetic simulations HPM pulse characterization and mitigation strategies Microwave reactor design for nanotechnology applications Contact Information Email: piotr.slobodzian@pwr.edu.pl Office: Room 808, Building C-5, Wrocław University of Science and Technology Office Hours: Monday 7:30–9:30, Friday 7:30–9:30

Marcus Handteمشاهده پروفایل

پژوهشگر

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

Jules Vliemمشاهده پروفایل

پژوهشگر

• MRI Hardware Development
• RF Coil Design
• Biomedical Engineering
• +۳ مورد دیگر

Jules Vliem is a Doctoral Candidate at the Eindhoven University of Technology , affiliated with the Integrated Circuits group in the College of Engineering . His work focuses on RF coil design for MRI hardware development , spanning ultra-high to ultra-low field applications. Education : BSc (2021) and MSc (2023) in Electrical Engineering from TU/e Research Focus : MRI hardware, RF coil optimization, and electromagnetic engineering for medical imaging Key Collaborations : MRI Hardware Development Lab, international research teams

Tim O'Sheaمشاهده پروفایل

استادیار

• Wireless Communications
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Tim O'Shea serves as a Research Assistant Professor at Virginia Polytechnic Institute and State University in Arlington, VA, and is Co-Founder & CTO at DeepSig Inc, where he pioneers AI/ML-driven baseband technology for next-generation wireless communications including AI-Native 6G RAN systems and data-driven RF sensing solutions. Research Assistant Professor, Virginia Tech College of Engineering Co-Founder & CTO, DeepSig Inc Co-Chair, IEEE Emerging Technology Area on Machine Learning for Communications Dr. O'Shea completed his educational journey with advanced degrees in Electrical and Computer Engineering: PhD, Electrical and Computer Engineering, Virginia Tech (2017) BS/MS, Electrical and Computer Engineering, NC State University (2007) Dr. O'Shea's research focuses on the intersection of machine learning and wireless communications. He specializes in AI-driven wireless network optimization, cognitive radio systems, RF spectrum analysis, and next-generation 5G/6G technologies. His work on OmniSIG represents cutting-edge data-driven approaches for wideband RF emission detection and analytics in vRAN and off-network sensing applications. With over 50 peer-reviewed publications and more than 4,500 citations, Dr. O'Shea's research demonstrates significant impact in wireless communications. His publication trend shows increasing focus on AI/ML applications in wireless systems, with recent work emphasizing AI-Native 6G RAN development and advanced signal processing techniques. Dr. O'Shea has received recognition through service on prestigious technical advisory boards: Technical Advisor, National Science Foundation (NSF) Technical Advisor, Defense Advanced Research Projects Agency (DARPA) Technical Advisor, EU HORIZON 2020 Program As an active member of the academic community, Dr. O'Shea serves as editor for IEEE Transactions on Wireless Communications and TCCN, and has organized numerous major conferences including IEEE SPAWC, IEEE INFOCOM, IEEE GlobeCom, and IEEE ICC MLC workshops. Dr. O'Shea leads research efforts at Virginia Tech and through DeepSig Inc, where his teams develop innovative AI/ML solutions for wireless communications challenges, bridging academic research with commercial applications.

• Microelectronics
• Integrated Circuits
• Analog Circuit Design
• +۳ مورد دیگر

Shubin Liu is a researcher specializing in microelectronics, integrated circuits, and analog circuit design. His work focuses on advanced ADC architectures (e.g., pipelined SAR, time-interleaved, noise-shaping), phase-locked loops (PLL), and sensor readout systems for MEMS and biomedical applications. Recent publications highlight collaborations with Zhangming Zhu and colleagues on high-speed, low-power, and PVT-robust designs. Research interests span Analog-to-digital conversion Low-power RF front-ends Calibration techniques High-frequency oscillators Biopotential amplifiers Time-interleaved ADCs His 15 most recent articles (2023-2025) explore power-efficient ADCs, jitter reduction in PLLs, and sensor interfaces, with keywords including Electronics, Integrated Circuits, Signal Processing, and Microelectronics. Notable subfields: SAR ADCs, Time-Domain Interpolation, Capacitor Mismatch Compensation, and IoT-optimized designs. Shubin Liu’s work is published in journals like IEEE Journal of Solid-State Circuits , Microelectronics Journal , and conferences such as CICC and ISSCC, reflecting his active engagement in cutting-edge analog and mixed-signal research.