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Duong Nguyen serves as an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. His research integrates operations research, artificial intelligence, economics, and engineering to develop mathematical models for decision-making in large-scale networked systems including cloud/edge computing, smart grids, and crowdsourcing. He directs the NEMO research group focused on building intelligent multi-agent platforms through optimization and market design. His educational credentials include: Ph.D. in Electrical and Computer Engineering from the University of British Columbia (2020) M.Sc. in Telecommunications from INRS, University of Quebec (2014) B.Sc. in Electronic and Telecommunications from Hanoi University of Science and Technology (2011) Dr. Nguyen's research spans Operations Research, Artificial Intelligence, Decision-Making, Market Design, and Optimization with applications in edge computing, power systems, and network economics. His work emphasizes robust algorithms for uncertain environments and secure multi-agent platforms, recently expanding into quantum machine learning and privacy-preserving distributed systems. Current projects address decentralized federated learning, dynamic pricing, and EV charging network design. Analysis of his publication record reveals consistent focus on distributed optimization techniques for edge/cloud systems, with increasing integration of game theory and quantum computing. His work demonstrates strong methodological innovation in handling spatio-temporal uncertainty while addressing practical challenges in energy flexibility and secure genomic computation. His scientific recognition includes: Finalist for Best Student Paper Award at American Control Conference (ACC) 2024 Finalist for Best Paper Award at International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) 2023 Dr. Nguyen actively mentors Ph.D. students including Jiaming Cheng and Long Vu, with student-led research achieving significant recognition. His NEMO group collaborates with institutions including ETH Zurich on projects spanning autonomous driving, edge AI, and quantum optimization. Current research directions emphasize fair resource allocation, privacy-preserving learning, and dynamic pricing frameworks for next-generation networked systems.

• Operations Research
• Artificial Intelligence
• Decision-Making
• +10 more

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +4 more

Dr. Hazem H. Refai serves as the Williams Chair of Telecommunication and Networking and Professor in the Electrical and Computer Engineering department at the University of Oklahoma's Gallogly College of Engineering in Tulsa. His research bridges optical wireless communications, medical device coexistence, and intelligent transportation systems, with leadership roles in the Wireless Electromagnetic Compliance and Design (WECAD) Center and Innovative Traffic Systems and Solutions LLC. Education: M.S.E.E. from the University of Oklahoma (1993) Ph.D. from the University of Oklahoma (1999) Research Focus: Dr. Refai pioneers optical wireless mobile communication systems using free space optics, medical device wireless coexistence for electromagnetic compliance, and vehicle-to-vehicle communication for auto-collision avoidance. His work on the Disaster Area Wireless Network (DAWN) and cognitive radio networks demonstrates practical applications in emergency response and spectrum efficiency, with recent expansion into fMRI real-time signal processing for neuroscience applications. Publication Trends: Recent publications (2022-2025) reveal a strategic interdisciplinary expansion where wireless communications expertise converges with biomedical engineering—evident in EEG/fMRI studies of stroke rehabilitation, epilepsy, and opioid dependence, alongside cardiovascular research on Floatation-REST. His group simultaneously advances wireless technology identification using dynamic mode decomposition and aerial network optimization for 6G infrastructure. Scientific Recognition: University of Oklahoma College of Engineering Brandon H. Griffith Faculty Award (2000) Best Paper Award, IWCMC 2013 (Cognitive Extensions to Existing Wireless Technology) OSPE Outstanding Engineering Achievement Award (2006) Multiple IEEE ComSoc student competition awards (2013-2015) 24th Digital Avionics Systems Conference Best Session Paper (2005) Mentorship & Infrastructure: Dr. Refai has successfully chaired 48 MS and 19 PhD students while developing five new ECE courses including RF Microelectronics and Wireless Networks. He directs the WECAD Center for medical device coexistence testing and founded Innovative Traffic Systems and Solutions LLC for intelligent transportation applications, supported by industry partnerships and FDA research appointments. Research Ecosystem: The WECAD Center conducts critical medical device coexistence research with the FDA, while his traffic systems company develops real-world solutions like the ODOT Radar System for traffic monitoring. His IEEE leadership (past Tulsa Chapter President) connects academic research with industry implementation in both telecommunications and healthcare domains.

• Optical/RF wireless systems in mobile environment
• Medical device wireless coexistence
• Disaster area wireless network (DAWN)
• +5 more

Thomas Marzetta is a Distinguished Industry Professor in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering and Director of NYU WIRELESS. He holds a Ph.D. and SB from MIT (Electrical Engineering) and an MS from the University of Pennsylvania (Systems Engineering). Prior to NYU, he worked at Schlumberger-Doll Research, Nichols Research Corporation, and Bell Labs, where he was elected a Bell Labs Fellow. He originated Massive MIMO, a cornerstone of 5G technology, and authored the book Fundamentals of Massive MIMO . Research Interests: Massive MIMO, Wireless Communications Technology, 6G Innovation, Antenna Systems, and Education. Affiliations: NYU WIRELESS (focusing on 6G and Terahertz technologies) and the Center for Advanced Technology in Telecommunications (CATT). His work has been recognized with awards including the IEEE Communications Society Industrial Innovation Award (2017), Stephen O. Rice Prize (2015), and an Honorary Doctorate from Linköping University (2015). He leads projects like GreenTouch’s Large Scale Antenna Systems and advises on EU-sponsored initiatives. Marzetta’s research emphasizes energy efficiency, spatial multiplexing, and novel MIMO configurations, with contributions to next-generation wireless systems and holographic communication techniques.

• Massive MIMO
• Wireless Communications Technology
• 5G/6G Networks
• +3 more

Kenle Chen is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), part of the College of Engineering and Computer Science (CECS). He holds a Ph.D. in Electrical Engineering from Purdue University (2013). His research focuses on radio-frequency (RF) and millimeter-wave integrated circuits, emphasizing energy-efficient, high-speed, wideband, and high-efficiency radio solutions for 5G-and-beyond wireless systems. Key projects include reconfigurable high-frequency circuits and interdisciplinary applications of radio technology. Dr. Chen leads the INSPIRE Lab, exploring innovative RF/mm-Wave circuits for wireless communications, IoT, and emerging technologies. He actively contributes to professional activities, including serving as an Associate Editor for IEEE Transactions on Microwave Theory and Techniques and Chair of the IEEE MTT-S/AP-S Orlando Chapter. His work has earned recognition, including 1st Place in IEEE IMS Student Design Competitions (2018, 2019) as an advisor and the IEEE MTT-S Doctoral Fellowship (2012). His research spans cutting-edge topics like load-modulated balanced amplifiers, Doherty architectures, and antenna design, addressing challenges in next-generation wireless systems. UCF’s strong engineering programs and Orlando’s tech corridor provide a robust environment for his interdisciplinary work.

• Radio-frequency integrated circuits
• Millimeter-Wave systems
• 5G and beyond wireless communications
• +3 more

Oh Joon-Yeoul serves as Associate Professor in the Department of Mechanical and Industrial Engineering at Texas A&M University-Kingsville's College of Engineering, specializing in optimization methodologies for telecommunications and public infrastructure systems. His academic credentials include: Ph.D. in Industrial Engineering (Operations Research), New Mexico State University (2003) M.S. in Industrial Engineering (Engineering Management), New Mexico State University (2000) M.S. in Industrial Engineering (Operations Research), Chong-Ju University (1998) B.S. in Industrial Engineering, Chong-Ju University (1995) Dr. Oh's research integrates mathematical programming and algorithmic development to solve complex industrial problems, with core expertise in Network Optimization , Wireless Telecommunication Systems , and Queueing Theory . His work bridges theoretical operations research with practical applications in municipal services, robotics, and emergency management, emphasizing non-linear and heuristic integer programming approaches for large-scale systems. Analysis of his 15 publications (2015-2020) reveals consistent focus on vehicle routing optimization (including multi-vehicle scenarios), facility location for public safety infrastructure, and multi-criteria decision frameworks . His research demonstrates strong methodological continuity in applying combinatorial optimization to real-world challenges like garbage collection routing, fire station allocation, and telecommunication network expansion, primarily through conference presentations at INFORMS and industrial engineering forums. Dr. Oh actively mentors graduate researchers as evidenced by student co-authorship on projects involving blockchain applications, humanoid robotics, and municipal service optimization. While specific grant details aren't documented, his collaborative work with colleagues like Amir Hessami indicates engagement in funded research initiatives addressing regional infrastructure challenges in South Texas. His research team focuses on practical implementation of optimization models for Kingsville municipal operations, particularly in waste management and emergency response systems, though dedicated laboratory facilities aren't specified in available materials.

• Network Optimization
• Wireless Telecommunication Network Expansion and Optimization
• Non-Linear Programming
• +6 more

Mohamed Morsy is an Associate Professor of Electrical Engineering at Texas A&M University-Texarkana, specializing in antenna design and wireless communication systems. His research focuses on developing compact, high-performance antennas for next-generation wireless applications including 5G networks, IoT devices, and mobile communications. Research interests span multi-band MIMO antenna systems, dielectric resonator antennas, ultrawideband technology, and educational methodologies in engineering curriculum development aligned with ABET standards. Publication analysis reveals concentrated focus on antenna miniaturization techniques since 2019, with recent expansion into sustainable energy materials (2024) and semiconductor technology (2025). Key innovations include meander-line MIMO configurations and stacked dielectric resonators for bandwidth enhancement.

• Antenna Design
• Wireless Communications
• MIMO Systems
• +2 more

Jacob Bembe is an Assistant Professor at the Vogel School of Engineering within Bryan College, specializing in Engineering & Technology . With nearly two decades of experience as a process technology engineer, research engineer, and senior lecturer, his expertise spans telecommunications, IoT, and wireless networks. He holds a Ph.D. in Information and Telecommunication Technology Engineering from KAIST, an M.Eng in Electrical and Electronics Engineering from the University of Johannesburg, and a Postgraduate Diploma in Satellite and Software Engineering from Stellenbosch University. Education : Ph.D., M.Eng, Postgraduate Diploma, B.S. Dr. Bembe’s research focuses on 5G network efficiency , IoT connectivity , and cloud computing . His recent work examines wireless standards, low-power wide area networks, and network densification. Though no formal awards are listed, his publications highlight collaborations with institutions in South Africa, Uganda, and South Korea. Dr. Bembe also co-authored a 2024 study on small cell efficiency in 4G/5G networks. His publications reveal trends in telecommunications , smart systems , and energy-efficient networking . He has contributed to wireless sensor networks, mobile TV broadcasting, and heterogeneous network design, prioritizing scalable and sustainable solutions for emerging technologies.

• Engineering & Technology
• Telecommunications
• Internet of Things (IoT)
• +3 more

Robert Akl is a Professor of Computer Science and Engineering at the University of North Texas. His research focuses on next-generation wireless communication systems, including 6G networks, IoT applications, and AI-driven cybersecurity. He specializes in Massive MIMO systems, vehicular communication (V2X), channel estimation for millimeter-wave technologies, and signal processing algorithms. His work spans theoretical frameworks (e.g., compressed sensing, topological vector spaces) and practical implementations like LDPC coding, Jacobi detectors, and beamforming optimization. Publications emphasize emerging technologies' challenges and opportunities in healthcare IoT, smart cities, and industrial automation. Key contributions include adaptive user scheduling algorithms for 6G, machine learning defense strategies for industrial control systems, and throughput improvement methods in vehicular networks. His research bridges mathematical rigor with real-world network design, addressing capacity, latency, and security in modern telecommunications.

• Computer Networks
• Artificial Intelligence
• IoT Applications
• +3 more

Keshav Singh is an Assistant Professor at the University of Alabama at Birmingham (UAB), affiliated with the Department of Philosophy. He specializes in normative questions across ethics, epistemology, and the philosophy of mind, with a growing focus on systemic discrimination and racism. His academic journey began at Princeton University (BA), continued at the University of North Carolina at Chapel Hill (MA, PhD), and includes a brief teaching stint at Syracuse University before joining UAB. His research spans foundational normative inquiries about human agency and applied analyses of racial discrimination. Outside academia, he is a professional jazz guitarist, dog owner, and sports enthusiast with ties to Southern culture. Dr. Singh's recent publications focus on telecommunications, environmental science, and nanotechnology, though these appear unrelated to his stated philosophy background, suggesting potential interdisciplinary engagement or misattributed works.

• Ethics
• Epistemology
• Social and Political Philosophy
• +2 more

Anthony Grbic is the John L. Tishman Professor of Engineering and holds joint appointments in Electrical Engineering and Computer Science and Applied Physics at the University of Michigan. His primary affiliation is with the Radiation Laboratory (RADLAB) in the College of Engineering. Grbic specializes in applied electromagnetics, microwave circuits, and optical systems, focusing on metasurface design, metamaterials, and advanced antenna engineering. Affiliations: Radiation Laboratory (RADLAB), Department of Electrical Engineering and Computer Science Key Roles: IEEE Fellow, Principal Investigator for multiple NSF and industry-funded projects His research emphasizes beamforming metasurfaces, nonreciprocal systems, and high-efficiency antennas. Recent work includes spatially-discrete traveling-wave modulated structures, inverse design algorithms for metamaterials, and applications in wireless communication and radar systems. Grbic's contributions bridge theoretical electromagnetics with practical implementations in aerospace, biomedical, and telecommunications domains. Notable Awards: IEEE Fellow (202X) His lab develops novel antenna architectures like all-metal metasurfaces and compound metaoptics, achieving record efficiency in amplitude/phase control. Ongoing projects explore spatio-temporal modulation for bandwidth enhancement and metamaterial-based frequency converters for 6G systems.

• Applied Electromagnetics
• Metamaterials
• Metasurface Design
• +5 more

Koushik Sinha is an Associate Professor at the School of Computing, Southern Illinois University Carbondale, where he directs the Complex Networks & Applications Lab. With extensive experience spanning academia and industry—including roles at Qatar Computing Research Institute, Hewlett-Packard Labs, and Honeywell—he brings practical expertise to his research in wireless networking, complex systems, and human-machine collaboration. His work bridges theoretical foundations with real-world applications across multiple domains. Education Ph.D. in Computer Science, Jadavpur University, India (2007) M.S. in Computer Science, Clemson University, USA (2003) B.Tech. in Computer Science, Kalyani Government Engineering College, India (2001) Research Focus Dr. Sinha's research centers on energy-efficient wireless communication protocols, 5G/6G networking, and complex network analysis. His "Communication through Silence" paradigm represents a novel approach to minimizing energy consumption in wireless networks. Current projects address critical challenges in ultra-dense 5G deployments, smart city infrastructure, and the CrowdCloud platform for hybrid human-machine computing. His work increasingly intersects with societal challenges in rural connectivity, agricultural technology, and public health. Publication Trends Analysis of Dr. Sinha's recent publications reveals a strategic progression from core wireless networking research toward interdisciplinary applications. While maintaining expertise in energy-efficient protocols and network optimization, his work now addresses smart city infrastructure, rural broadband expansion, precision agriculture, and pandemic response systems. His publications demonstrate growing integration of machine learning techniques and increasing focus on real-world impact in underserved communities. Scientific Recognition Senior Member, IEEE Grand Prize Winner of 9th OSS World Challenge for AIDR (2015) N.V. Gadadhar Memorial Award from IETE (2011) Young Scientist Award from Indian Science Congress Association (2009) Mentorship and Leadership Dr. Sinha has successfully guided multiple Ph.D. and MS students through research in wireless networking and complex systems. His leadership extends to conference organization as General Co-Chair for IEEE ANTS 2018 and TPC Co-Chair for previous editions. Within his department, he has shaped curriculum as Course Coordinator for key offerings including Distributed Systems, Mobile and Wireless Computing, and Computer Architecture. Research Infrastructure The Complex Networks & Applications Lab under Dr. Sinha's direction supports cutting-edge research in wireless protocols, network optimization, and hybrid computing systems. Current projects include 5G network optimization, ultra-dense base station placement, and the CrowdCloud platform for human-machine collaborative computing, providing students with opportunities to address real-world challenges in smart cities, rural connectivity, and emergency response systems.

• Mobile Computing
• Wireless Ad hoc Networks
• Wireless Sensor Networks
• +6 more

Lichun Li is an Associate Professor at the Department of Industrial & Manufacturing Engineering within the FAMU-FSU College of Engineering . Holding a Ph.D. in Electrical Engineering from the University of Notre Dame (2013), Dr. Li's career includes postdoctoral work at the University of Illinois at Urbana-Champaign (UIUC) and Georgia Institute of Technology under Prof. Langbort and Prof. Shamma, respectively. Research Interests: Game Theory : Focused on asymmetric and stochastic games with applications to security and control systems. Control Theory : Investigates event-triggered systems, Bayesian games, and resilient networked systems. Security of Cyber-Human-Physical Systems : Addresses threats from hackers, natural disasters, and adversarial actors through strategic modeling. Smart Manufacturing : Explores AI-driven robotic collaboration to enhance industrial efficiency. Networked Systems : Studies large-scale systems resilience and coordination mechanisms. Recent Publications highlight applications of game theory to cybersecurity, LTE network defense, and efficient control algorithms. Dr. Li's work bridges theoretical advancements with practical solutions for risk mitigation and system optimization. Contact : lichunli@eng.famu.fsu.edu

• Game Theory
• Control Theory
• Security of Cyber-Human-Physical systems
• +5 more