جست‌وجوی استاد و پژوهشگر

Daniel Jacobsمشاهده پروفایل

استاد

• Cosmology
• Astrophysics
• Radio Astronomy
• +۳ مورد دیگر

Daniel Jacobs is a Full Professor at Arizona State University (ASU) in the School of Earth and Space Exploration, and Associate Director of ASU's Interplanetary Initiative, leading the Interplanetary Lab's smallsat development. His research focuses on observational cosmology using low-frequency radio telescopes, such as the Hydrogen Epoch of Reionization Array (HERA), and CubeSat missions like SPARCS and DORA. He holds a BSc from New Mexico Tech, MSc from Montana State University, and PhD from the University of Pennsylvania. His expertise spans radio instrumentation, data-intensive computing, and cosmic dawn studies, with notable contributions to mitigating radio interference and developing next-generation arrays. Recent awards include NSF CAREER (2022), ASU Tenure (2024), and PECASE (2025). Research interests include the 21cm line as a probe of the dark ages, radio interferometry calibration, and CubeSat-based space missions. Technical projects include the ECHO drone calibrator program, DORA deployable optical receiver, and HERA Phase II upgrades. His work addresses challenges in signal processing, RFI mitigation, and precision cosmology measurements. Scientific awards highlight his contributions to instrument innovation and early-career excellence. Advising and grants focus on CubeSat development and HERA collaborations. The Interplanetary Lab supports small satellite missions like DORA, while the Low Frequency Cosmology group advances observational techniques for cosmic reionization studies.

Rameez Asifمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT)
• Wireless Communications
• +۹ مورد دیگر

Rameez Asif is an Associate Professor at the School of Computing Sciences, University of East Anglia (UEA) since 2021. He specializes in cybersecurity, IoT, and AI, with a focus on securing interconnected systems and developing robust frameworks for threat detection and resilient IoT architectures. Previously, he held an Assistant Professor position at the University of Strathclyde (Glasgow, UK), where he researched energy systems and smart grids. He earned his PhD in Digital Backpropagation for Secure Optical Networks from Friedrich-Alexander University Erlangen-Nuremberg (Germany) in 2012, with additional research experience at DTU (Denmark) and the University of Cambridge (UK). His research interests span 5G/6G networks, wireless security, blockchain, cryptocurrencies, and metaverse technologies. He actively supervises PhD candidates and postdoctoral researchers in interdisciplinary projects. His work emphasizes practical applications, including secure localization algorithms, intrusion detection systems leveraging AI and blockchain, and optimizing IoT for smart cities. He serves on editorial boards for journals like MDPI and Frontiers Media. Rameez has over 130 publications in top-tier conferences and journals. His research addresses critical challenges in cybersecurity, edge computing, and emerging technologies, with collaborations across multiple countries and industries.

Seungdeog Choiمشاهده پروفایل

استاد

• Power Electronics
• Electric Machine Control
• Wireless Power Transfer
• +۳ مورد دیگر

Seungdeog Choi is a Professor in Electrical and Computer Engineering at Mississippi State University's Bagley College of Engineering, directing the Power Electronics and Energy System Lab (PEESL). Research focuses on: High-reliability power electronics design Wide-bandgap semiconductor applications Electric drive systems for traction and antennas Real-time condition monitoring Recent publications emphasize electromagnetic interference mitigation, arc fault detection, and lifetime prediction of power modules. Emerging interests include cyber-physical security of electric drives and ultra-high-speed motors for portable antenna systems.

Yu Luoمشاهده پروفایل

دانشیار

• Underwater Communications
• Wireless Communications
• Internet of Things
• +۴ مورد دیگر

Yu Luo serves as Associate Professor in Electrical and Computer Engineering at Mississippi State University's Bagley College of Engineering, focusing on cutting-edge wireless systems and sustainable network architectures. His work bridges theoretical innovation with experimental validation across underwater and terrestrial communication domains. His academic foundation includes: Ph.D. in Computer Science and Engineering, University of Connecticut (2015) M.S. in Electrical and Information Engineering, Northwestern Polytechnical University, China (2012) B.S. in Electrical and Information Engineering, Northwestern Polytechnical University, China (2009) Research centers on Underwater Acoustic Communications with reconfigurable intelligent surfaces, Renewable Energy IoT systems using RF harvesting, and Cybersecurity for wireless networks. Recent work integrates Edge Computing and Machine Learning for real-time applications like structural health monitoring and PPE detection, emphasizing energy optimization in solar-powered edge systems and federated learning frameworks. Publication trends (2022-2025) reveal accelerated output in experimental underwater communications, with 40% of recent work dedicated to reconfigurable surfaces and energy harvesting. Key themes include practical implementation challenges, hardware-software co-design for edge AI, and security mechanisms for resource-constrained IoT devices, demonstrating consistent translation of theoretical concepts to field-deployable solutions.

Mustafa Aksoyمشاهده پروفایل

دانشیار

• Microwave Remote Sensing
• Radio Frequency Interference
• Cryosphere Monitoring
• +۱ مورد دیگر

Dr. Mustafa Aksoy is an Associate Professor in Electrical & Computer Engineering at University at Albany's College of Nanotechnology, Science, and Engineering. His research focuses on microwave remote sensing for cryosphere monitoring and RFI detection. He holds a PhD (2015) and MS (2014) in Electrical Engineering from Ohio State University, and BS from Bilkent University (2010). Prior to joining UAlbany, he conducted postdoctoral research at NASA Goddard Space Flight Center. His publications concentrate on radio frequency interference mitigation, microwave radiometry techniques, and Antarctic ice sheet monitoring. Recent work develops machine learning approaches for RFI detection and CubeSat radiometer calibration systems. Honors include NASA's Robert H. Goddard Exceptional Achievement Award (2016) and multiple travel grants from IEEE GRSS and USNC-URSI. He currently serves on IEEE GRSS's Frequency Allocations Committee and reviews for IEEE TGRS and GRSL.

Won Namgoongمشاهده پروفایل

استاد

• RF/Analog Circuits
• Signal Processing Systems
• Cognitive Radios
• +۲ مورد دیگر

Won Namgoong is a Professor in Electrical and Computer Engineering at the University at Albany (SUNY). His research centers on DSP-assisted analog/RF circuits for cognitive radios, high-speed links, and sensor systems. An NSF CAREER Award recipient, he previously worked at UT Dallas, USC, and Atheros Communications. Namgoong's innovations include digital distortion cancellation for SAW-less receivers, sub-Nyquist cognitive radios, and noise-suppressed PLL designs. He has served on editorial boards for IEEE Transactions on Circuits and Systems and the Journal of Signal Processing Systems. His industry-academia hybrid expertise bridges signal processing theory with practical RF/analog implementations.

Dola Sahaمشاهده پروفایل

دانشیار

• Wireless Communication
• Signal Processing
• Machine Learning
• +۲ مورد دیگر

Dola Saha is an Associate Professor in Electrical and Computer Engineering at University at Albany, SUNY, and co-director of the Mobile Emerging Systems and Applications (MESA) Lab. She holds a Ph.D. in Computer Science from University of Colorado Boulder (2013). Her research intersects machine learning, wireless communications, and security, with focus areas in terahertz communication, signal detection, wireless physical layer security, and radio astronomy coexistence. Research explores machine learning applications for wireless signal processing, including adversarial learning for secure waveforms, transformer-based terahertz communication, and multi-source RF interference cancellation. Funded projects include NSF grants for radio astronomy coexistence and AFRL projects on terahertz communications. Awards include UAlbany CNSE Excellence in Research Award (2025) and IEEE ComSoc Exemplary Editor recognition. She currently advises 6 PhD students in areas including signal detection and terahertz systems. Teaching includes Modern Wireless Networks and Cyber-Physical Systems. Recent publications demonstrate innovation in wireless security (WISE covert communication), terahertz systems (TWIRLD waveform), and radio astronomy protection (SCISRS). Awards include best paper recognitions at DySPAN conferences.

Naren Vyavahareمشاهده پروفایل

استاد

• Biomaterials
• Extracellular Matrix
• Heart Valve Implants
• +۵ مورد دیگر

Dr. Naren Vyavahare is a Professor and Hunter Endowed Chair in the Department of Bioengineering at Clemson University. He leads the Vyavahare Lab, focusing on biomaterials, extracellular matrix biology, and cardiovascular disease therapies. His work addresses elastin degradation in diseases like aortic aneurysms and vascular calcification, developing targeted nanoparticle therapies and tissue-engineered devices for congenital heart defects. He holds a Ph.D. in Chemistry from the University of Pune, India (1991). Research emphasizes site-specific drug delivery systems, including elastin-targeted nanoparticles for calcification reversal, and novel materials for pediatric cardiac devices. His lab's innovations include PGG-stabilized vascular implants and anti-inflammatory macrophage polarization strategies. Key projects involve chronic kidney disease-induced vascular calcification, pulmonary hypertension modeling, and elastin regeneration in diseased tissues. Notable contributions include preclinical proof-of-concept for calcification reversal therapies and bioprosthetic valve stabilization via crosslinking methods. Current efforts target translational applications for chronic diseases, combining biomaterial engineering with nanotechnology for precision medicine.

Karen Sauerمشاهده پروفایل

استاد

• Low-Field Magnetic Resonance
• Quantum Magnetometry
• Nuclear Quadrupole Resonance (NQR)
• +۳ مورد دیگر

Dr. Karen L. Sauer is a Professor in the Department of Physics & Astronomy at George Mason University (GMU), affiliated with the College of Science and the Quantum Science and Engineering Center. She holds a PhD in Atomic Physics from Princeton University (1998) and a BA in Physics from Cornell University (1992). Her postdoctoral work includes positions at École Normale Supérieure (Paris, France) and the Naval Research Laboratory (Washington, D.C.). Her research focuses on low-field magnetic resonance, quantum magnetometry, and the detection of explosives using nuclear quadrupole resonance (NQR). She directs the Magnetic Resonance Laboratory (MRL), which explores spin-dynamics in systems like optically pumped atoms and develops advanced magnetometer technologies. Key innovations include sub-femtotesla sensitivity magnetometers and interference-resistant NQR detection arrays. Dr. Sauer has secured significant grants, including NSF CAREER (2006-2012) and ADVANCE awards (2002-2006). Recent publications emphasize zero-field NMR in superconductors and magnetic field detection advancements. She has mentored over 25 graduate and undergraduate students, many of whom have pursued academic and industry roles. Her lab collaborates with institutions like Princeton University and Twinleaf Inc., advancing applications in national security and materials science.

• Wireless Sensor Networks
• Internet of Things
• Cloud Computing
• +۲ مورد دیگر

Dr. Byungseok Kang is a Lecturer in Computing at the University of Derby's College of Science and Engineering. His research focuses on advanced networking technologies, particularly in the domains of Internet of Things (IoT), wireless sensor networks, and distributed systems. With expertise spanning cloud computing integration and network protocol optimization, Dr. Kang develops innovative solutions for scalable and efficient communication infrastructures. His research primarily investigates energy-efficient routing protocols, mobility management frameworks, and autonomous network architectures. Recent projects explore IoT-based platforms for real-world applications including drone-based sensing systems and cloud-integrated service platforms. Dr. Kang's work emphasizes practical implementations through experimental testbeds and performance evaluations. Analysis of Dr. Kang's recent publications reveals a consistent focus on optimizing network performance under constrained resources. His work demonstrates strong thematic alignment with emerging needs in low-latency communication systems and distributed computing infrastructures, particularly relevant for next-generation IoT ecosystems.

Qian Liaoمشاهده پروفایل

استاد

• Environmental Fluid Mechanics
• Hydrodynamic-Biogeochemical Modeling
• Hydraulics and Hydrology
• +۲ مورد دیگر

Qian Liao is a Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin-Milwaukee's College of Engineering & Applied Science. Currently on sabbatical for the Fall 2024 semester, Dr. Liao specializes in environmental fluid mechanics and aquatic system dynamics. Dr. Liao holds a PhD in Civil and Environmental Engineering from Cornell University (2004), an MS in Urban and Environmental Science from Peking University (1999), and a BS in Hydraulic and Hydropower Engineering from Tsinghua University (1996). His research focuses on: Hydrodynamic-biogeochemical interactions in aquatic systems Turbulence modeling and mixing processes Advanced flow measurement techniques including imaging-based analysis Hydraulic systems and watershed management His recent publications demonstrate strong focus on signal processing applications in sensing systems, radar technologies, and wireless communications, with particular emphasis on multi-target localization, signal authentication, and efficient computational methods.

Sergio Fantiniمشاهده پروفایل

استاد

• Biomedical Optics
• Diffuse Optical Imaging
• Functional Near-Infrared Spectroscopy (fNIRS)
• +۷ مورد دیگر

Sergio Fantini is a Professor at Tufts University School of Engineering , with joint appointments in Biomedical Engineering and Electrical and Computer Engineering . He holds a Ph.D. in Physics from the University of Florence (1992) and has been an inaugural faculty member of Tufts' Biomedical Engineering department since 2002. Primary Research Areas : Biomedical optics, diffuse optical imaging, functional near-infrared spectroscopy (fNIRS), quantitative tissue oximetry, and hemodynamics measurement techniques. Key Contributions : Development of dual-slope FD-NIRS methods for calibration-free absolute optical measurements, coherence hemodynamics spectroscopy (CHS) for cerebral blood flow analysis, and novel instrumentation for optical mammography and muscle studies. His laboratory focuses on photon propagation modeling in turbid media, instrumentation development for medical imaging, and clinical applications in brain and muscle hemodynamics. Recent publications emphasize improving pulse oximetry accuracy across skin tones, adipose/bone tissue compensation in muscle measurements, and advanced diffusion theory implementations. Scientific Recognition : 11 issued patents in biomedical optics Over 200 peer-reviewed publications Key role in establishing fNIRS methodologies He leads the Diffuse Optical Imaging of Tissue (DOIT) Lab , mentoring postdocs, Ph.D. candidates, and undergraduate researchers. The lab's work spans from theoretical modeling (e.g., Rytov approximation, Monte Carlo simulations) to practical implementations in clinical neuroimaging , muscle metabolism studies , and portable medical sensors .

• Electrical & Electronics Engineering
• Radar Signal Processing
• Waveform Design
• +۳ مورد دیگر

Dr. Mohammad ALAEE is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the SPARC department. His research focuses on radar signal processing, waveform design, and optimization theory, with applications in automotive, medical, and communication systems. He has conducted research stays in Italy and speaks French and English fluently. His work emphasizes the development of advanced radar technologies, including MIMO radar systems, interference mitigation techniques, and waveform optimization for spectral efficiency. He has contributed to projects such as contactless vital sign monitoring using radar, automotive radar coexistence with communications, and 4D imaging radar for high-resolution applications. His publications highlight trends in radar-communication integration, waveform design for medical and automotive systems, and adaptive signal processing techniques. He has also explored hardware prototyping and simulation tools for radar systems, demonstrating practical implementations of his theoretical contributions. Dr. ALAEE's research bridges theoretical advancements with real-world applications, addressing challenges in modern radar systems' performance and integration. While no specific awards or grants are listed, his extensive publication record underscores his expertise in radar engineering and signal processing.

David Matolakمشاهده پروفایل

استاد

• Wireless Communication Systems
• Radio Channel Modeling
• Non-Stationary Fading Channels
• +۵ مورد دیگر

David Matolak is a Professor of Electrical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. He holds a Ph.D. from the University of Virginia (1995), with prior faculty roles at Ohio University (1999-2012). His research focuses on radio channel modeling, wireless communication systems, and non-stationary fading channels. He has over 25 years of industry and academic experience, including roles at AT&T Bell Labs, MITRE, and NASA collaborations. He is an IEEE Fellow and Distinguished Lecturer, with 250+ publications and 8 patents. Education: Ph.D., Electrical Engineering, University of Virginia (1995) M.S., Electrical and Computer Engineering, University of Massachusetts (1987) B.S., Electrical Engineering, Pennsylvania State University (1983) Research Interests: Radio channel modeling, adaptive modulation/detection, mmWave channels, air-ground and V2V/V2X communications, and resilient wireless networks for extreme environments. His work spans theoretical analysis, experimental validation, and standards contributions (e.g., RTCA, ITU). Recent Contributions: Contributions include channel characterization for NASA’s AAM program and mmWave attenuation studies. He leads efforts in secure communications and interference mitigation, with applications in aviation and UAV systems. Awards: IEEE Fellow (Recognition of contributions to vehicular and wireless communications) IEEE Vehicular Technology Society Distinguished Lecturer Recipient of eight patents in communication systems Professional Activities: Associate Editor for IEEE Transactions on Vehicular Technology and Wireless Communications; member of standards bodies and honor societies including AIAA, ASEE, and Sigma Xi.

Sanjib Surمشاهده پروفایل

دانشیار

• Wireless systems
• Millimeter-wave networks
• Internet of Things
• +۲ مورد دیگر

Sanjib Sur is an Associate Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on wireless systems for healthcare, mobility sensing, and IoT connectivity. Research interests span: Millimeter-wave communication networks Contactless health monitoring technologies Intelligent transportation systems Edge computing for sensor networks His recent publications demonstrate strong focus on non-contact sensing for healthcare (sleep analysis, stroke rehabilitation) and smart infrastructure (traffic monitoring, outdoor networking). Technical approaches consistently integrate millimeter-wave systems with deep learning for robust environmental operation.