جستجوی استاد راهنمای دانشگاهی

• Radar Systems
• Wireless Communications
• Signal Processing
• +۴ مورد دیگر

Dr. Robin AMAR is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SPARC department. His research focuses on advanced waveform design for radar and communication systems, particularly in mmwave and automotive radar applications. He specializes in interference mitigation, Doppler-tolerant systems, and coexistence of radar-communication networks. His work integrates theoretical optimization with practical hardware implementations using platforms like USRP. Key research areas include polynomial phase waveforms, FMCW waveform optimization, and sensor network design. His studies address challenges in urban environments, spectrum sharing, and real-time signal processing. Dr. AMAR has contributed to both theoretical frameworks and experimental validations through measurement-based analyses. His expertise bridges electrical engineering, signal processing, and interdisciplinary security applications. Notable projects include designing interference-immune radar systems for automotive safety and developing dual-function waveforms for simultaneous sensing and communication. Despite no listed awards, his work demonstrates impactful contributions to radar technology innovation. He collaborates within SPARC's research teams but no specific labs or grants are detailed in the provided information.

Saptarshi Debroyمشاهده پروفایل

دانشیار

• Computer Networking
• Network Security
• Big Data Networking
• +۹ مورد دیگر

Saptarshi Debroy is an Associate Professor of Computer Science at Hunter College and a member of the Doctoral Faculties at The Graduate Center, CUNY. He leads the Distributed Systems and Security (DiSSect) Lab and co-leads the CoSSMO Lab, focusing on resilient distributed systems, edge computing, and cyber security. His research addresses challenges in disaster response systems, federated cloud workflows, and moving target defense mechanisms. He holds a PhD in Computer Engineering from the University of Central Florida and has held roles including Post-Doctoral Fellow at the University of Missouri. Education: PhD (Computer Engineering, UCF, 2014), MTech (Distributed & Mobile Computing, Jadavpur University, 2008), BTech (Information Technology, West Bengal University of Technology, 2006) Research Interests His work spans distributed systems, edge/AI-driven networks, cyber security, and resource optimization in disaster scenarios. Key areas include fog computing frameworks for real-time video processing (EFFECT), secure federated workflows (ADON), and MTD-based cloud defense strategies. He emphasizes practical applications like disaster response and healthcare data security. Grants & Awards Recipient of NSF CAREER Award (2020), NSF grants totaling over $1.1M, and Google Research Award. Notable projects include a trusted framework for health incident response (NSF), volunteer edge-cloud resource allocation (NSF), and DDoS mitigation strategies (NSF). Teaching & Service Teaches graduate courses on distributed systems, cloud computing, and networks at CUNY. Serves on NSF review panels and as chair for IEEE/ACM conferences. Leads initiatives like the Cyber Security Summer School for Women to promote diversity in tech. Labs & Collaborations Directs the DiSSect Lab, which develops edge-native systems for disaster response and secure AI. Collaborates with FDNY, perfSONAR, and NSF-funded testbeds like PAWR. Partnerships include projects with bioinformatics and high-performance computing communities (CyVerse, XSEDE).

Arjuna Madanayakeمشاهده پروفایل

دانشیار

• Multidimensional systems
• Wireless communications
• Array processing
• +۷ مورد دیگر

Arjuna Madanayake is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on multidimensional systems, wireless communications, array processing, and analog computing. He holds a Ph.D. from the University of Calgary and B.S. from the University of Moratuwa, Sri Lanka. Dr. Madanayake's work emphasizes low-complexity algorithms for multi-beam beamforming, RF sensing, and FPGA implementations. His lab (RAND Lab) develops innovative solutions in terahertz communications, spectrum intelligence, and AI-driven signal processing. He teaches EEL 5500 Digital Communication Systems and collaborates on projects involving reconfigurable intelligent surfaces and 5G/6G technologies. His recent publications (2020–2025) address challenges in ultra-broadband communication systems, analog computing for PDEs, and spectrum management. He has contributed to IEEE journals and conferences, focusing on practical implementations in hardware and software-defined radio platforms.

John L. Volakisمشاهده پروفایل

استاد

• Wireless Communications
• Antennas and Arrays
• Ultra-Wideband RF Techniques
• +۷ مورد دیگر

John L. Volakis is a Professor of Electrical & Computer Engineering at Florida International University (FIU) and former Dean of the College of Engineering and Computing (2017-2023). He is an IEEE, ACES, AAAS, NAI, and URSI Fellow. His career spans over four decades, including roles at Boeing, University of Michigan, Ohio State University, and FIU. He has pioneered advancements in antennas, electromagnetic compatibility, and biomedical sensing. His research group has produced over 400 journal papers, 800 conference papers, and 8 books. He has mentored 95 PhD/postdoc students, many of whom became faculty or industry leaders. Education: Ph.D. (1982), M.S. (1979), B.E. (1978) from The Ohio State University and Youngstown State University. Key Roles: Former Director of Ohio State's ElectroScience Laboratory, Co-Director of FIU's RFCOM Lab. Research Interests: Focuses on wearable antennas, ultra-wideband systems, metamaterials, neurosensing, and electromagnetic compatibility. His work includes innovations in millimeter-wave arrays, EMI shielding, and bioelectromagnetics. Recent projects involve battery-free neural recording systems and STAR radio interference cancellation. Publications: Over 1,200+ publications across antennas, computational electromagnetics, and biomedical engineering. His 2025 papers address EMI shielding, LPD waveforms, and TCDA arrays. Awards: IEEE Antennas & Propagation Society Distinguished Award (2014), Chen-To Tai Educator Award (2011), and leadership roles in URSI and IEEE. Advising & Grants: Guided 43 students to best paper awards and secured $125M in external funding during his deanship. His RFCOM Lab develops advanced fabrication and measurement capabilities for phased arrays and biomedical sensors.

Ish Jainمشاهده پروفایل

استادیار

• Next-generation Networks (6G and beyond)
• Wireless Communication Systems
• Wireless Sensing
• +۸ مورد دیگر

Ish Jain is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), effective Fall 2024. He holds a PhD in Electrical and Computer Engineering from UC San Diego (2024), an MS from NYU (2018), and a BTech from IIT Kanpur (2016). His research focuses on next-generation wireless networks, combining communication, sensing, and security through experimental frameworks like mmWave testbeds. Key contributions include frequency-dependent multi-beam systems, mmWave localization for autonomous vehicles, and security against jamming/sensing spoofing. Education: PhD, UC San Diego (2018–2024) MS, NYU (2016–2018) BTech, IIT Kanpur (2012–2016) Research Interests: His work spans 6G Architecture (multi-beam frameworks, flexible frequency multiplexing), Wireless Sensing (localization, radar integration), and Security (jamming mitigation, spoofing defenses). He emphasizes practical deployments using open-RAN and programmable radios, with a focus on energy efficiency and scalability. Recognition: Qualcomm Innovation Fellowship VMware Research Grant Marconi Society Scholar Best Poster Award (Hotmobile 2023) 3-minute Thesis Winner (MobiSys/MobiCom) Current Courses: ECSE 4660/6660 Internetworking of Things (Spring 2025) ECSE 4560/6560 Modern Communication Systems (Fall 2025) Lab: Wireless Intelligent Systems Lab at RPI. Active in research centers like CMDIS. Collaborates widely via grants and industry partnerships.

Mahbub Ifanaمشاهده پروفایل

دانشیار

• Wireless Power Transfer
• RF Integrated Circuits
• Antenna Design
• +۵ مورد دیگر

Mahbub Ifana is an Associate Professor at the University of Texas at Dallas (UTD), leading the Integrated Biomedical and Radio Frequency Circuits and Systems Laboratory (iBioRFCASL) within the Electrical & Computer Engineering department of the Erik Jonsson School of Engineering and Computer Science. She joined UTD in 2022 after serving as an Assistant Professor at the University of North Texas for five years. Education: Ph.D. in Electrical Engineering, University of Tennessee, Knoxville (2017) B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2012) Research Interests: Her work focuses on energy-efficient integrated circuits and systems, including wireless communication, power transfer for biomedical sensors, ultrawideband/mm-wave phased-array antennas for UAVs, and RF circuit design for biomedical applications. Specific areas include: Wireless neural sensing and stimulation Wearable and implantable biomedical sensors Far-field wireless power beaming for drones Reconfigurable intelligent surfaces (RIS) for 5G/6G systems Low-power transmitter/receiver design Awards: NSF Early Career Award (2020) DARPA Young Faculty Award (2021) DARPA Director’s Fellowship (2023) Texas Instruments Early Career Chair Award (2022) Service & Leadership: Secretary for URSI Commission K Guest Editor for IEEE Open Journal of Antennas and Propagation Publications Chair for IEEE Texas Symposium on Wireless and Microwave Circuits and Systems Lab Focus: Her lab develops cutting-edge technologies such as: Electro-mechanical beam steering for phased arrays Antennas for UAV-to-vehicle communication Bioimpedance measurement systems AI-driven RIS for transmit-reflectarray applications

Hlaing Minnمشاهده پروفایل

استاد

• Communications
• Signal Processing
• Wireless Systems
• +۶ مورد دیگر

Dr. Hlaing Minn is a Professor at the University of Texas at Dallas, affiliated with the Department of Electrical & Computer Engineering within the Erik Jonsson School of Engineering and Computer Science. He holds an IEEE Fellow distinction since 2016. His academic journey includes a B.E. from Yangon Institute of Technology, M.Eng. from Asian Institute of Technology, and Ph.D. from the University of Victoria. Research interests focus on communications systems , signal processing , and wireless technologies , with recent emphasis on mitigating radio frequency interference (RFI) in satellite systems and radio astronomy. He has authored over 170 journal/conference papers and supervised 17 Ph.D. and 3 M.Sc. students. Key Achievements: Editor-at-Large for IEEE Transactions on Communications since 2016 Pioneered spectrum-sharing paradigms between cellular networks and radio astronomy Developed techniques for massive MIMO, millimeter-wave, and Tera-Hertz communications Teaching: Courses include Digital Communications, Random Processes, and Probability Theory. Recent roles include EE 4360 Digital Communications and EESC 6352 Digital Communications Systems. Awards: IEEE Fellow (2016), Green & Orange Award (Fern Yoon, 2025), and multiple best paper nominations. Lab: Information & Communications Systems Lab focuses on next-generation terrestrial/satellite systems, biomedical signal processing, and spectrum-agile designs. Collaborates with industry leaders like Qualcomm, Samsung, and Cisco.

Mariya Zhelevaمشاهده پروفایل

دانشیار

• Wireless Networks
• Spectrum Measurement
• Dynamic Spectrum Access
• +۵ مورد دیگر

Mariya Zheleva is an Associate Professor in the Department of Computer Science at the University at Albany (SUNY), where she directs the UbiNET Lab. She holds a PhD and MS in Computer Science from UC Santa Barbara and MEng/BEng degrees from Technical University of Sofia. Her research develops wireless solutions for infrastructure-challenged regions, focusing on spectrum measurement, dynamic access, IoT networks, and rural emergency systems. She leads NSF-funded projects including a CAREER award (2019) for spectrum management and a $1.5M Smart and Connected Communities grant for rural emergency networks. Awards include the University at Albany President’s Award for Exemplary Public Engagement (2019) and the Dynamic Spectrum Alliance Research Award (2019). Current doctoral advisees include Vaasu Taneja, Andrew Okoro, and Ishrat Mohima. Recent publications address spectrum sensing algorithms, machine learning for modulation classification, and community network resilience. She co-founded the NSF SpectrumX Center for spectrum innovation.

Alistair Duffyمشاهده پروفایل

استاد

• Computational Electromagnetics
• Electromagnetic Compatibility
• Signal Integrity
• +۲ مورد دیگر

Professor Alistair Duffy is Professor of Electromagnetics and Associate Dean of Research and Innovation at De Montfort University. His research focuses on computational electromagnetics validation and electromagnetic compatibility (EMC) testing methods. Research Focus: Key areas include: Validation of computational electromagnetic models EMC testing methodologies for physical layer components Partial discharge location using time-reversal techniques Uncertainty analysis in EMC measurements Recent work develops AI applications for EMC and addresses shielding effectiveness in aviation connectors and PCBs. His publications demonstrate consistent focus on measurement reliability and industrial applications. Leadership: Serves as Associate Dean of Research and Innovation, leading initiatives in electronic engineering research and industry collaboration.

Alexander Haimovichمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Radar Systems
• +۱ مورد دیگر

Alexander Haimovich is a Distinguished Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). He received his Ph.D. in Systems Engineering from the University of Pennsylvania in 1989 and joined NJIT in 1992. His leadership roles include directing the New Jersey Center for Wireless Telecommunications and serving as a visiting fellow at Princeton University. He holds the Ying Wu Endowed Chair and is a Fellow of the IEEE. Education: Ph.D., Systems Engineering, University of Pennsylvania, 1989 M.S., Electrical Engineering, Drexel University, 1983 B.S., Electrical Engineering, Technion - Israel Institute of Technology, 1977 Research Focus: Professor Haimovich specializes in wireless communications, radar systems, and signal processing. His work explores fundamental limits of detection and estimation theory, with applications in cognitive radar, MIMO systems, and interference mitigation. Current projects involve adaptive radar detection using meta-learning and blind source separation techniques for frequency-hopping signals. Publication Trends: His recent articles demonstrate strong focus on radar waveform optimization, machine learning applications in signal processing, and sub-Nyquist radar systems. Works frequently address challenges in spectral congestion and real-time adaptive detection. Awards: Fellow of the IEEE Academic Leadership: Oversees graduate research programs and maintains collaborations with defense and telecommunications industries. Manages laboratory facilities for wireless system prototyping.

Wei Guoمشاهده پروفایل

استاد

• Quantum Fluid Dynamics
• Cryogenic Engineering
• High Reynolds Number Flow Research
• +۳ مورد دیگر

Wei Guo is a Professor and Department Graduate Director in the Department of Mechanical Engineering at the Florida A&M University-Florida State University College of Engineering. His research focuses on cryogenic fluid dynamics, quantum turbulence, and superfluid helium applications in advanced physics detectors and aerospace systems. He holds a Ph.D. in Physics from Brown University (2008), an M.S. from Brown University (2004), and a B.S. from Wuhan University (2002). Research interests include visualization of quantum fluid dynamics, cryogenic heat transfer in particle accelerators, and dark matter detection technologies. Notable achievements include developing the HeRALD superfluid detector and advancing understanding of vortex reconnection in superfluids. He has been recognized with awards such as the American Physical Society Fellowship (2023) and the Gordon and Betty Moore Foundation Investigator Award (2022). Education: Ph.D. Physics, Brown University, 2008 M.S. Physics, Brown University, 2004 B.S. Physics, Wuhan University, 2002 His recent work spans cryogenic hydrogen storage systems for zero-emission aviation, noise mitigation in superconducting sensors, and quantum electronics leveraging solid neon surfaces. Collaborative projects include the TESSERACT dark matter detection initiative and advancements in magnetic levitation for low-gravity simulations. Awards: American Physical Society Fellow (2023) Outstanding Research Award, FAMU-FSU College of Engineering (2023) Moore Foundation Experimental Physics Investigator Award (2022) Dr. Guo's lab develops novel cryogenic flow measurement tools like particle levitation velocimetry and employs advanced imaging techniques involving He₂* excimer clusters. His work bridges quantum fluid mechanics with applied engineering challenges in aerospace and high-energy physics infrastructure.

Mercè Vall-llosseraمشاهده پروفایل

دانشیار

• Remote Sensing
• Environmental Monitoring
• Electromagnetics
• +۳ مورد دیگر

Mercè Vall-llossera is an Associate Professor at the Polytechnic University of Catalonia (UPC), specifically in the Department of Signal Theory and Communications since 1997. She holds a Telecommunication Engineering degree (1990) and a Doctorate in Telecommunication Engineering (1994) from UPC. Her career includes a sabbatical at Concordia University (Montreal, 1996–97), where she applied FDTD methods to study mobile telephone effects on human bodies. Her research focuses on remote sensing, initially in electromagnetics and antenna design, later transitioning to geophysical parameter retrieval (soil moisture/ocean salinity) and satellite data applications. She contributed significantly to the ESA's Soil Moisture and Ocean Salinity (SMOS) mission, launched in 2009. Current work emphasizes environmental monitoring using satellite data for drought/flood prediction, crop yield analysis, forest fire detection, and Arctic ice clustering to address climate change impacts. Her technical expertise spans microwave radiometry, data fusion techniques, and algorithm development for high-resolution mapping. She collaborates on projects like the Remote Sensing Laboratory's SMOS validation efforts and CubeSat technology (UPCSAT-1). Her contributions bridge theoretical electromagnetics with applied environmental science, emphasizing interdisciplinary solutions for global environmental challenges.

• Social Psychology
• Environmental Psychology
• Disaster Management
• +۵ مورد دیگر

Connar McShane is a Senior Lecturer in the Discipline of Psychology at James Cook University (JCU). His research focuses on psychological factors influencing decision-making in agricultural and regional communities, particularly in contexts of environmental risk and disaster preparedness. Key areas include risk perception, efficacy beliefs, social bonds, and community attachment. He leads projects such as the ARC Industrial Transformation Training Centre in Plant Biosecurity (2024–2029) and has contributed to initiatives like the North Queensland Regional Creativity and Innovation Partnership (2016–2017). McShane holds a PhD Thesis Award of Academic Excellence (Cum Laude, 2012). His work bridges theory and practice, addressing challenges like cyclone mitigation, biosecurity governance, and underinsurance in disaster-prone regions. He employs frameworks such as the Protective Action Decision Model and community capital theory to enhance resilience strategies. McShane has advised on numerous research projects, including a current PhD focusing on technology adoption by Australian farmers. His interdisciplinary approach integrates psychology, environmental science, and policy analysis to address complex socio-environmental issues in rural and coastal communities.

Jonathan Owenمشاهده پروفایل

استادیار

• Radar Systems
• Signal Processing
• Communications Engineering
• +۳ مورد دیگر

Jonathan Owen is a Courtesy Assistant Professor at the University of Kansas, affiliated with the School of Engineering and the Department of Electrical Engineering and Computer Science. His research focuses on advanced radar systems, including waveform design, cognitive radar, and spectrum sharing techniques. He has conducted experimental demonstrations of multi-user radar/communications (MURC), tunable phase-attached radar-communications (PARC), and real-time waveform-diverse pulse-Doppler systems. Notable contributions include optimizing non-uniform radar waveforms, developing clutter suppression algorithms like DeCCaF, and exploring gradient-based approaches for pulse repetition interval (PRI) staggering. His work emphasizes practical implementations using software-defined radar platforms like MicRIB. Dr. Owen’s research bridges theoretical signal processing with real-world radar applications, addressing challenges in spectral efficiency, Doppler robustness, and interference mitigation. Education and background details are not explicitly provided in the text. His publications span from 2015 to 2025, with a strong emphasis on experimental validation and cognitive radar systems. No scientific awards are listed here. Advising details and grant information are also not specified, though his experimental focus suggests involvement in laboratory setups and collaborative projects. Key research themes include spectral notching, adaptive waveform design, and radar-communications integration, with applications in both military and civilian domains. His work often combines hardware prototyping with algorithmic innovation, as seen in projects like the Software-Defined Radar (SDR) development and real-time spectrum sensing demonstrations.

Mohammed Amine Togouمشاهده پروفایل

استادیار

• 5G/6G Networks
• Software-Defined Networking
• Blockchain Applications
• +۳ مورد دیگر

Mohammed Amine Togou is an Assistant Professor in the School of Computing within Dublin City University's Faculty of Engineering and Computing. His research specializes in performance optimization and protocol design for next-generation networks including 5G/6G systems, SDN/NFV architectures, and blockchain-enabled solutions. With PhD in Computer Science from University of Montreal and MSc in Computer Networks from Al Akhawayn University, he has published over 40 peer-reviewed papers. Current research develops machine learning solutions for network management challenges including: interference mitigation in O-RAN architectures, adaptive streaming for immersive media, and blockchain-based network slicing. He serves as guest editor for Electronics journal's special issue on 5G Technology and IoT, and supervises PhD students in network optimization and distributed computing. Teaching responsibilities include distributed systems and network security courses, with pedagogical research on technology-enhanced learning methods in computing education.