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Hisham AliView profile

Assistant Professor

• Hypersonics
• Magnetohydrodynamics
• Plasma Physics
• +3 more

Hisham Ali is an Assistant Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder (CU Boulder), affiliated with the Aerospace Mechanics Research Center (AMREC). He holds a PhD and MS in Aerospace Engineering from Georgia Institute of Technology (2019 and 2015) and a BS from the University of Alabama (2013). His research focuses on hypersonics, magnetohydrodynamics (MHD), plasma physics, planetary entry systems, and aerocapture technologies for space exploration. Education: PhD, Aerospace Engineering, Georgia Tech, 2019 MS, Aerospace Engineering, Georgia Tech, 2015 BS, Aerospace Engineering, University of Alabama, 2013 Ali’s research explores MHD drag modulation for planetary entry missions (e.g., Neptune aerocapture), plasma wind tunnel development, and energy harvesting during atmospheric entry. His work aims to reduce mission costs, enhance spacecraft efficiency, and enable human exploration of outer planets. Key projects include tabletop-scale plasma tunnel facilities and RF/MW instrumentation suites for hypersonic flow studies. He has received prestigious awards such as the NASA Space Technology Research Fellowship (2013) and the Barry M. Goldwater Scholarship (2012). His contributions span academic and industrial roles, including postdoctoral research at Georgia Tech and a position at The Aerospace Corporation. Ali advises graduate students in CU Boulder’s Aerospace Engineering program and collaborates on grants focused on hypersonic aerodynamics and MHD systems. His laboratory (AER0 369) integrates experimental and computational approaches to advance space exploration technologies.

• Digital Signal Processing
• Acoustic Feedback Cancellation
• Hearing Aid Technology
• +5 more

Akinori Nishihara is a prominent researcher with a prolific publication record spanning over 37 years from 1986 to 2023. His work primarily focuses on digital signal processing with significant contributions to hearing aid technology, particularly in acoustic feedback cancellation systems. He has published extensively in prestigious journals such as IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences and at major conferences including ICASSP and ISCAS. Dr. Nishihara's research interests encompass digital signal processing, acoustic feedback cancellation for hearing aids, filter design, wavelet analysis, image processing, and speech enhancement. His work demonstrates both theoretical depth and practical applications, particularly in developing algorithms for hearing aid technology that addresses the challenging problem of acoustic feedback. His research has evolved from fundamental filter design in the 1980s-1990s to more specialized applications in hearing aids and multimedia systems in recent years. Analysis of his publication trends shows a consistent focus on signal processing fundamentals while adapting to emerging application areas. In the 2010s and 2020s, his work increasingly centered on practical hearing aid implementations, with numerous papers co-authored with Muhammad Tahir Akhtar on adaptive filtering techniques for acoustic feedback cancellation. His research demonstrates a progression from theoretical filter design to real-world implementations addressing specific challenges in audio processing. Dr. Nishihara has maintained long-term collaborations with several researchers including Muhammad Tahir Akhtar (10 publications), Todor Cooklev (10 publications), and Saed Samadi (10 publications), indicating established research partnerships that have yielded significant scholarly output over multiple decades.

• Sensor Technology
• Instrumentation and Measurement
• Dielectric Material Characterization
• +4 more

Nicola Donato is a researcher at the University of Messina, Italy, specializing in instrumentation and measurement technologies. His work spans sensor development, dielectric characterization, and biomedical monitoring systems, with significant contributions to microwave-based sensing and neural network modeling for sensor optimization. Research interests include: Design and modeling of resonant sensors for dielectric material analysis Development of wireless biomedical monitoring systems (e.g., EEG-over-BLE architectures) Nanomaterial-based gas and chemical sensors for medical/environmental applications Machine learning techniques for sensor data interpretation and system calibration Publications demonstrate strong emphasis on: Microwave/electrochemical sensor interfaces Thin-film and nanomaterial sensing platforms Embedded systems for healthcare monitoring Hybrid measurement approaches combining RF engineering and machine learning

• Optical Communication
• Free Space Optics
• Wireless Communication
• +5 more

Hemani Kaushal is an active researcher specializing in optical communication systems with a publication record spanning over a decade from 2013 to 2025. Her scholarly output demonstrates consistent contributions to the field of communications engineering, particularly in Free Space Optics (FSO) and related wireless technologies. With 19 documented publications in reputable venues including IEEE journals and conferences, she has established herself as a significant contributor to optical communication research. Dr. Kaushal's research interests center around optical communication systems, with particular expertise in Free Space Optics, underwater optical communication, space-based optical networks, and UAV communication systems. Her work demonstrates a progression from fundamental optical communication principles to increasingly applied systems, with recent publications exploring machine learning applications in healthcare management. The research trajectory shows consistent innovation in addressing challenges like atmospheric turbulence, signal degradation, and system optimization in optical communication channels. Analysis of her 15 most recent publications reveals a clear evolution from foundational optical communication work (2015-2017) toward more complex integrated systems (2018-2021) and recently toward interdisciplinary applications (2022-2025). While early work focused on theoretical aspects of FSO and underwater communication, more recent publications incorporate machine learning techniques and address practical implementation challenges in UAV networks and healthcare systems. The publications span multiple IEEE transactions and journals, indicating recognition within the communications engineering community. Dr. Kaushal maintains active collaborations with researchers worldwide, most notably with Georges Kaddoum across multiple publications, as well as with Mona Aggarwal, Swaran Ahuja, Ghanishtha Narang, and Zornitza Genova Prodanoff. These collaborations span various aspects of optical and wireless communication research, resulting in comprehensive investigations of system performance, security, and optimization techniques.

• Computer Science
• Quantum Computing
• Machine Learning
• +2 more

Atul Kumar is a Researcher in computer science with publications spanning quantum computing, machine learning, and cybersecurity. His work appears in journals including IEEE Transactions on Visualization and Computer Graphics, Knowledge-Based Systems, and IEEE Access. His research focuses on quantum machine learning algorithms, medical image analysis, hardware security, and chaotic encryption systems. Recent investigations explore quantum support vector machines, hardware Trojan attacks, and uncertainty-aware neural representations for scientific visualization. Analysis of his publication portfolio reveals consistent methodological innovation in applying quantum computing principles to traditional computing problems, particularly in image processing and classification tasks. His security-focused research examines vulnerabilities in hardware systems and develops cryptographic solutions using chaotic maps.

• Neural Networks
• Medical Image Analysis
• Computer Vision
• +5 more

Zhigang Li is a Professor in the Department of Computer Science at South China University of Technology's School of Computer Science and Engineering. His research spans multiple technical domains with significant contributions to neural networks, medical imaging, computer vision, and sensor technologies. Recent collaborations include work with Northwestern Polytechnical University, Hong Kong University of Science and Technology, and various medical research institutions. Dr. Li's research interests focus on neural network architectures, particularly small-world and feedforward networks for system modeling and medical applications. His work bridges computer science with practical applications in healthcare (EEG analysis, schizophrenia detection, liver transplant allocation), environmental monitoring (wastewater treatment), and engineering systems (CMOS image sensors, UAV networks). His research demonstrates strong interdisciplinary connections between theoretical computer science and real-world problem solving. Analysis of his recent publication trends shows increasing focus on medical applications of AI, with significant work in brain functional network analysis, depression recognition, and schizophrenia detection. His technical contributions include novel neural network architectures, efficient sensor systems, and advanced signal processing techniques. The publications reveal a consistent pattern of high-quality output in top-tier journals across multiple disciplines. Dr. Li has received recognition through publications in prestigious venues including IEEE Transactions, Medical Image Analysis, and Expert Systems with Applications, though specific awards aren't documented in the provided bibliography. His work demonstrates significant impact across multiple fields, particularly in applying computational methods to healthcare challenges. His research program includes collaborations with medical researchers for brain imaging applications, electrical engineers for sensor development, and computer scientists for network architecture design. Current projects appear focused on multi-view brain network analysis, energy-efficient sensor systems, and medical AI applications with potential clinical impact.

David MarpaungView profile

Professor

• Microwave Photonics
• Photonics
• Integrated Optics
• +3 more

David Marpaung is a Full Professor at the University of Twente's MESA+ Institute for Nanotechnology, leading the Nonlinear Nanophotonics Group. His primary affiliation is within the Department of Nanophotonics and Hybrid Systems, where he focuses on integrated photonics, microwave photonics, and nonlinear optical phenomena such as Brillouin scattering. His research emphasizes developing high-performance photonic integrated circuits (PICs) using materials like silicon nitride and lithium niobate, with applications in signal processing, filtering, and optical communications. Key research areas include the design of low-loss photonic circuits, Brillouin-based microwave photonics systems, and hybrid integration of optical components. His work has led to advancements in programmable photonic circuits, RF interference mitigation, and high-dynamic-range filtering solutions. Collaborations span global institutions, reflecting his leadership in the field. Marpaung has been recognized with prestigious awards, including the Optica Fellow designation in 2022 and the Best Contributed Paper Award in 2021. His contributions bridge fundamental optics and applied engineering, addressing challenges in telecommunications and photonic systems. Recent publications highlight innovations in thin-film lithium niobate platforms for Brillouin photonics and silicon nitride-based acoustic wave engineering. His research group actively explores next-generation photonic technologies, leveraging both theoretical and experimental approaches to push the boundaries of integrated photonics. Labs and facilities at MESA+ enable cutting-edge prototyping and testing of novel devices, ensuring practical impact alongside academic contributions.

Slavche PejoskiView profile

Professor

• Wireless Communication Networks
• Energy Harvesting
• Federated Learning
• +3 more

Slavche Pejoski is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of the Ss. Cyril and Methodius University of Skopje, specializing in the Department of Telecommunications. He holds a PhD in Telecommunications (2015), Master's (2010), and Bachelor's (2007) degrees from the same institution. His academic roles include Assistant (2014–2016), Assistant Professor (2016–2020), Associate Professor (2020–2025), and Full Professor (since 2025). His research focuses on wireless communication networks , energy harvesting , federated learning , intelligent reflecting surfaces (IRS) , and network optimization . He has pioneered work on optimizing resource allocation in IRS-assisted networks, covert communications, and delay-minimization in federated learning. Publications emphasize ALOHA protocols , UAV-based communication systems , and RF energy harvesting . Recent work (2022–2025) highlights advancements in covert communications and IRS-enhanced networks . He received the Best Paper Award at TELFOR 2015 for MRI imaging research. His grants and collaborations span industry partnerships, emphasizing practical network implementations. Labs/Teams: Active in FEIT's Institute of Telecommunications , leading projects on next-generation wireless systems and AI-driven networking.

• Power Amplifier Design
• Antenna Systems
• Microwave Engineering
• +3 more

Haijun Fan is an Assistant Professor at the Institute of Sensors, Signals & Systems within the School of Engineering & Physical Sciences at Heriot-Watt University. His research focuses on advanced RF and microwave engineering, with particular emphasis on power amplifier design, antenna systems, and signal processing. He holds affiliations with interdisciplinary research groups specializing in sensor networks and integrated systems. Dr. Fan’s work spans theoretical and applied research, including automated design methodologies for power amplifiers using AI-driven optimization, beamforming in coupled directional modulation arrays, and energy-efficient transceiver systems. His contributions address challenges in multi-beam active antennas, MIMO transmitter design, and wideband filtering solutions. Key technical interests include: RF/microwave circuit design Antenna-transmitter co-design AI applications in electronics Time-modulated arrays Wideband filter development Recent publications (2021–2025) emphasize innovations in: Surrogate model-based optimization for power amplifiers Orthogonal vector techniques for MIMO systems Ka-band antenna design with dual-layer Rotman lenses Low-loss waveguide transitions No academic awards or grants are explicitly listed in the provided information. His research group collaborates internationally on antenna systems and RF component development.

• Antenna design
• Antenna arrays
• Computational electromagnetics
• +3 more

Jacob Coetzee is a Senior Lecturer in Electrical Engineering at Queensland University of Technology (QUT), affiliated with the Faculty of Engineering and School of Electrical Engineering & Robotics. He has been with QUT since January 2008, following academic positions at the University of Pretoria (1994-1997) and the National University of Singapore (1998-2007). His educational background includes: BEng (cum laude) from University of Pretoria (1986) MEng (cum laude) from University of Pretoria (1989) PhD from University of Pretoria (1994) Coetzee's research focuses on electromagnetics and microwave engineering, with particular expertise in antenna design, antenna arrays, computational electromagnetics, and passive microwave components. His work demonstrates consistent technical depth in solving complex electromagnetic problems related to waveguide slot arrays, coupling mechanisms, and radiation patterns. The research shows strong theoretical foundations combined with practical engineering applications. Analysis of his publication record reveals a sustained research trajectory focused on waveguide slot array design, with recent expansion into 5G communication systems. His work consistently addresses fundamental electromagnetic challenges in antenna systems while maintaining relevance to contemporary wireless technologies. The publications show increasing sophistication in modeling techniques and solution approaches over time. Professional recognition includes: Senior Member IEEE Coetzee teaches EGB241 Electromagnetics and Machines and EGH442 RF Techniques and Applications at QUT. His research appears to be primarily individual or small-team focused, with consistent publication output in high-impact IEEE journals, particularly IEEE Transactions on Antennas and Propagation. While specific grant information isn't provided, his sustained publication record suggests successful research funding. His work contributes to both theoretical electromagnetic understanding and practical antenna design methodologies, with applications spanning traditional radar systems to modern wireless communication infrastructure.

Russell KenneyView profile

Assistant Professor

• Synthetic Aperture Radar (SAR)
• Multiple-Input Multiple-Output (MIMO) Radar
• Distributed Radar Systems
• +4 more

Russell Kenney serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the Gallogly College of Engineering, University of Oklahoma, where he is an active member of the Advanced Radar Research Center (ARRC). He maintains professional affiliations with IEEE, Eta Kappa Nu, and Tau Beta Pi, reflecting his commitment to engineering excellence. Dr. Kenney completed his academic journey at the University of Oklahoma: Ph.D. in Electrical and Computer Engineering (2024) M.S. in Electrical and Computer Engineering (2020) B.S. in Computer Engineering (2019, summa cum laude) His research centers on radar systems engineering with emphasis on synthetic aperture radar (SAR) and multiple-input multiple-output (MIMO) architectures. He develops novel techniques for navigation, synchronization, and signal processing in mobile distributed radar networks, while advancing position, navigation, and timing (PNT) solutions, RF synchronization methods, and microwave component design for next-generation radar applications. Analysis of his 15 most recent publications (2020-2025) reveals a cohesive research trajectory focused on wireless synchronization for distributed radar networks, clock drift compensation, and multi-sensor fusion for SAR imaging. His work bridges microwave engineering, signal processing, and radar system design through innovations in filter design, waveform optimization, and beam pattern synthesis. Dr. Kenney's scholarly recognition includes: University of Oklahoma’s Outstanding Senior in Computer Engineering Award University of Oklahoma Dolese Teaching Fellowship IEEE R5 Student Paper Competition Winner (2019, local and area levels) IEEE R5 Student Paper Competition Runner-up (2019, regional level) DoD National Defense Science and Engineering Graduate (NDSEG) Fellowship (2021) His DoD NDSEG Fellowship provided critical research funding for doctoral work on wireless synchronization techniques. While specific student advising details aren't published, his faculty role and research output suggest active mentorship of graduate students in radar systems development. Dr. Kenney operates from the ARRC facility, contributing to the center's mission of advancing radar technology through collaborative projects in distributed network synchronization and mobile platform navigation.

Jorge L. Salazar-CerrenoView profile

Associate Professor

• High-performance dual-polarized antenna elements
• Broadband array antennas
• EM modeling and material characterization
• +11 more

Jorge L. Salazar-Cerreno is an Associate Professor at the School of Electrical and Computer Engineering , University of Oklahoma , and a key member of the Advanced Radar Research Center (ARRC) and PAARD . His work bridges antenna design , phased array radar systems , and atmospheric research . Education: Ph.D. in Electrical and Computer Engineering (2012), University of Massachusetts Amherst Research Interests focus on dual-polarized phased arrays, mmWave and sub-terahertz antennas, radome modeling, and UAV-based radar calibration. His innovations aim to enhance scanning performance, reduce costs, and improve weather observation accuracy in challenging terrains. Article Trends highlight advancements in UAV metrology , real-time calibration , and rapid-scan imaging radars , particularly for storm analysis and atmospheric sensing. Key themes include wideband antenna design , array diagnostics , and material characterization . Scientific Awards NCAR Advanced Study Program postdoctoral fellowship Grants include a $3.01 million NSF award (2023) for developing a C-band mobile polarimetric imaging radar to improve severe weather warnings. Labs & Teams : Leads the Radar Innovations Lab , contributing to next-generation weather radar systems like Horus and PAIR .

Josep Miquel JornetView profile

Professor

• Terahertz Communications
• 6G Systems
• Wireless Nano-Bio-Communication Networks
• +5 more

Josep Miquel Jornet is a Professor in the Department of Electrical and Computer Engineering at Northeastern University (NU), serving as Associate Dean of Research in the College of Engineering and Associate Director of the Institute for the Wireless Internet of Things (WIoT). He leads the Ultrabroadband Nanonetworking (UN) Laboratory, focusing on terahertz communications, wireless nano-bio networks, and the Internet of Nano-Things. His work spans theoretical, experimental, and policy dimensions, with over 250 publications and $30M+ in grants from NSF, AFRL, and industry. Education: Ph.D., Georgia Institute of Technology (2013) M.S. and B.S., Universitat Politècnica de Catalunya (2008) Visiting Researcher, MIT (2007-2008) Research Interests: Terahertz communications for 6G, nano-bio-communication networks, spectrum policy above 100 GHz, and wearable/implantable medical devices. His lab develops novel nano-devices, communication protocols, and experimental platforms, emphasizing societal impact through spectrum regulation and STEM outreach. Grants & Awards: NSF CAREER Award (2019), IEEE Fellow (2024) US FCC first-of-its-kind licenses for THz systems Over $30M in federal and industry grants Labs & Leadership: UN Lab at NU, co-director of MS programs in IoT/Wireless Engineering. Leadership roles in IEEE, ACM, ITU, and NextG Alliance. Editor-in-Chief of Nano Communication Networks and Associate Editor of multiple journals.

• Wireless Communication
• Antenna Design
• mmWave and THz Technologies
• +7 more

İbrahim Altunbaş is a Professor at Istanbul Technical University's Department of Electronics and Communication Engineering within the College of Engineering. With over 141 research outputs and 7 funded projects, his work focuses on cutting-edge wireless communication technologies. Research spans mmWave/THz communication , antenna array design , satellite networking , and non-orthogonal multiple access techniques. Recent projects examine multi-HAPS systems , RSMA optimization , and MIMO-NOMA architectures for satellite networks. Scientific Impact : Awarded 5 prestigious prizes including the 2021 Bölüm Bazlı Yayın Performans Ödülü Active in supervising 29 academic works Published extensively in IEEE journals since 1994

Ehsan AsadiView profile

Senior Lecturer

• Control engineering
• Mechatronics
• Robotics
• +4 more

Ehsan Asadi is a Senior Lecturer in the School of Engineering at RMIT University, Melbourne, Australia, specializing in Mechatronics. He joined RMIT University as a Senior Lecturer on February 2, 2020, and is actively involved in research and teaching in the fields of robotics, control engineering, and mechatronics. Dr. Asadi completed his PhD at Politecnico di Milano, Milan, Italy, from January 2010 to October 2013. He then worked as a Post Doctoral Research Fellow at Nanyang Technological University, Singapore, from September 2015 to April 2017. Between May 2017 and February 2020, he was also the Co-Founder and CTO of Transforma Robotics in Singapore. His research interests span control engineering, mechatronics, robotics, field robotics, automotive mechatronics, autonomous systems, and machine learning. Dr. Asadi's work aligns with UN Sustainable Development Goals, particularly Industry, Innovation and Infrastructure; Affordable and Clean Energy; and Sustainable Cities and Communities. His research has applications in various domains including construction waste management, solar photovoltaic inspection, polymer degradation monitoring, and autonomous navigation. Dr. Asadi has published extensively in top robotics and engineering journals with recent publications focusing on robotic hand-eye calibration, aerial imaging for solar panel inspection, hyperspectral characterization of polymer degradation, and intelligent control systems for ballbot robots. His publications demonstrate strong interdisciplinary connections between robotics, computer vision, and practical engineering applications. He is actively involved in academic service, serving on the IoT Alliance Australia Executive committee since October 2024, as an Editorial Board Member for the Journal of Robotics and Mechatronics since March 2024, and as an Associate Editor for IEEE Robotics and Automation Letters since October 2022. He is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Asadi is open to supervising Masters Research or PhD students and collaborating on industry projects, advisory committees, and web conferences as a panellist or speaker. His research lab, IA-Cobotics (https://www.ia-cobotics.com/), focuses on intelligent automation and collaborative robotics.