Find Academic Supervisors

Athol J KemballView profile

Professor

• Computation and Data
• Observation
• Stars and Planets
• +4 more

Athol J Kemball is a Professor in the Department of Astronomy at the University of Illinois at Urbana-Champaign, within the College of Liberal Arts & Sciences. He also holds affiliations with the National Center for Supercomputing Applications (NCSA) as a Professor and is a faculty affiliate of the Computational Science and Engineering program. Kemball is a member of the Center for Extreme-Scale Computation at NCSA/IACAT and leads the Kemball Research Group, which focuses on applying advanced computing to problems in observational astronomy. Dr. Kemball earned his Ph.D. in Physics in 1993. His educational background has provided the foundation for his interdisciplinary work at the intersection of computational science and astrophysics. Kemball's research lies at the intersection of advanced computing and astrophysics, with specific focus areas including: The theory of interferometry Astrophysical masers Late-type, evolved stars Gravitational lensing His work leverages extreme-scale computer systems to transform observational astronomy, enabling new scientific inquiries that were previously impossible. The exponential growth in computing capability has profoundly influenced his approaches to data-and compute-intensive scientific questions. An analysis of Kemball's recent publications shows a strong focus on applying computational methods to astronomical observations. His work spans from exoplanet detection using Bayesian methods to studying gravitational lensing and maser polarization. The research demonstrates a consistent theme of using advanced computing to extract maximum scientific value from observational data, particularly in the areas of interferometry and polarization studies. Among his notable recognition: Blue Waters Professor Named to the "List of Teachers Ranked as Excellent" four times since 2010 Kemball has been actively involved in teaching, offering courses such as Introduction to Astrophysics, Observational Astronomy, Scientific Writing for Astronomy, and Astronomical Techniques. His research group has participated in significant projects including the Square Kilometer Array Technology Development Project, specifically in the Calibration and Processing Group, addressing petascale computing challenges for radio astronomy. The Kemball Research Group focuses on applying high-performance computing to observational astronomy problems, particularly in interferometry, maser studies, and gravitational lensing. The group collaborates with the Center for Extreme-Scale Computation at NCSA/IACAT and contributes to advancing computational methods for next-generation astronomical facilities.

• Biomedical Engineering
• Semiconductor Devices
• Digital Signal Processing
• +4 more

Dr. Alok Kushwaha is a Researcher at the University of Adelaide's School of Electrical and Mechanical Engineering, affiliated with the Biomedical Engineering department. He has 24 years of experience in academia, research, and administration, with expertise in semiconductor devices, digital signal processing, and antenna design. Currently, he collaborates with Dr. Jiawen Li and Dr. Robert McLaughlin at the Institute for Photonics and Advanced Sensing (IPAS) on Optical Coherence Tomography (OCT) and Fluorescence systems. His research interests include biomedical engineering applications, advanced semiconductor technologies, and nanoelectronics. Notable projects involve developing handheld OCT probes for oral tissue imaging and analyzing terahertz communication systems. He has contributed to studies on molecular communication protocols and sensor technologies for livestock health monitoring. Research Trends : Recent work focuses on biomedical imaging innovations (e.g., 3D-printed OCT devices), semiconductor device optimization (e.g., subthreshold MOSFET performance), and high-speed antenna designs. His publications span nanotechnology, image processing, and materials science. Grants & Advising : No student advisees or grant details listed. Collaborates extensively within interdisciplinary teams at IPAS. Labs/Teams : Active member of the Institute for Photonics and Advanced Sensing (IPAS), contributing to advanced sensing and photonics research.

• Radio Astronomy Technology
• Millimeter-Wave Receiver Design
• Cryogenic Electronics
• +3 more

Anthony R. Kerr is a Visiting Professor in Electrical and Computer Engineering, affiliated with the National Radio Astronomy Observatory (NRAO) in Charlottesville, VA. His career spans over five decades, with foundational contributions to radio astronomy instrumentation and superconducting device technology. Dr. Kerr holds a Ph.D. from the University of Melbourne (1969). He has pioneered advancements in cryogenic parametric amplifiers, Schottky-diode mixers, and SIS (Superconductor-Insulator-Superconductor) mixers for millimeter/submillimeter wavelengths. His work at NASA/Goddard Space Flight Center and NRAO focused on low-noise receiver technology, culminating in breakthroughs for the Atacama Large Millimeter/submillimeter Array (ALMA). His research interests emphasize receiver sensitivity optimization , quantum-limited detection , and millimeter-wave instrumentation . Key innovations include wideband SIS mixers, cryogenic cooling systems, and standardized waveguide interfaces for submillimeter astronomy. Scientific Awards: 1978 IEEE Microwave Prize 1983 NASA Exceptional Engineering Achievement Medal Life Fellow of the IEEE Key Contributions: ALMA Band 6 receiver development (200+ GHz range) Experimental demonstrations of SIS mixer bandwidth expansion Advances in Nb/Al-AlOx/Nb junction fabrication His work underpins modern radio telescope arrays and continues to shape submillimeter-wave astrophysics instrumentation.

Bob MahmoodiView profile

Lecturer

• Wireless communication system
• Digital signal processing
• Control
• +6 more

Dr. Bob Mahmoodi serves as a Lecturer in the Department of Electrical and Computer Engineering at the University of St. Thomas School of Engineering, where he has taught for 10 years since 2012. Concurrently, he holds an adjunct instructor position at the University of Minnesota's Electrical and Computer Engineering department for 35 years. His industry background includes over 30 years at 3M in R&D focused on wireless RFID and biometric sensors, plus three years at Honeywell developing airborne radar systems. His educational qualifications include: PhD in Electrical Engineering and Control Sciences from the University of Minnesota MS in Electrical Engineering from the University of Minnesota BS in Electrical Engineering from the University of Minnesota Dr. Mahmoodi's research spans wireless communication, digital signal processing, control systems, medical instrumentation sensors, and FPGA/IC design. His work integrates analog/digital systems with applications in biometric security and image compression. Current teaching focuses on Electronics I laboratories, Engineering Design Clinic II, and graduate-level Digital Signal Processing coursework emphasizing machine learning applications. His publication history from 1981-2013 reveals consistent innovation in image enhancement algorithms and radar signal processing, with increasing specialization in medical imaging after 1984. Key thematic developments include the transition from military radar applications to medical/biometric systems and the evolution of real-time processing techniques for commercial printing technologies. Dr. Mahmoodi holds seven U.S. patents covering image enhancement (1986, 1994), projection displays (2006), and oil quality monitoring systems (2012-2013). His professional service includes IEEE Twin Cities Chapter chairmanship (1989-1990), IS&T Conference chairmanship (1991), and ACR-NEMA standards committee membership for image compression. As an active design clinic instructor, he mentors student teams in industrial problem-solving through the Senior Design Clinic program. His industry experience directly informs classroom instruction, particularly in sensor integration and system modeling applications. Laboratory development for electronics courses leverages his 3M/Honeywell background in practical circuit design.

• Wireless Communications
• Radio Channel Modeling
• Millimeter Wave Propagation
• +6 more

Jun-ichi Takada is a prominent researcher in wireless communications with extensive contributions to radio channel modeling, millimeter wave propagation, and wireless body area networks. His work spans over 15 years with consistent high-impact publications in IEEE journals and conferences. Dr. Takada's research focuses on several key areas in wireless communications: Advanced radio channel modeling for 5G/6G systems Millimeter wave propagation characteristics in various environments Wireless body area network (WBAN) channel characterization Channel sounding and measurement techniques Indoor and outdoor propagation modeling Antenna design and performance evaluation Wireless localization and spectrum sharing techniques Analysis of Dr. Takada's recent publications (2022-2025) reveals a strong focus on next-generation wireless systems, with particular emphasis on site-specific channel modeling for 5G/6G, millimeter wave applications, and innovative measurement techniques. His work increasingly integrates machine learning approaches with traditional signal processing methods for wireless channel analysis and human detection applications. Dr. Takada has collaborated extensively with researchers across Japan and internationally, demonstrating leadership in several major research projects related to wireless communications standardization and development.

Axel SielaffView profile

Researcher

• Boiling and Evaporation
• Heat Transfer
• Microgravity Applications
• +3 more

Dr. Axel Sielaff is a Researcher at the Institute for Technical Thermodynamics at Technische Universität Darmstadt since 2008. His work focuses on boiling and evaporation phenomena, particularly in microgravity environments and complex fluids. He has conducted research visits at the Indian Institute of Technology Madras and the Royal Melbourne Institute of Technology. Education: He holds a Diplom in Mechanical Engineering (Energy and Process Engineering) from Leibniz University Hannover. He also completed visiting studies at the Chinese Academy of Sciences (Beijing), Zhuhai MTU Maintenance, and Brunel University, West London. Research Interests: His group investigates two-phase heat transfer, nucleate boiling dynamics, and the effects of microgravity on evaporation. Projects include multiscale experiments on complex fluids, numerical simulations of bubble growth, and applications in spacecraft thermal management via the RUBI experiment on the International Space Station. Key areas include microlayer formation, electric field effects on bubble detachment, and residue formation of fuels/AdBlue under high-velocity airflow conditions. Technical Contributions: Develops experimental setups for sub-millimeter scale analysis and high-precision infrared thermography. Collaborates internationally on projects such as the Multiscale Boiling Investigation (ISS-based) and Deposit Formation Studies. Labs/Teams: Active in the Boiling and Evaporation research group at TU Darmstadt, contributing to both fundamental and applied thermal engineering research.

• Antenna Engineering
• 6G/5G Communications
• Metamaterials
• +6 more

Ming Shen is an Associate Professor at the Department of Electronic Systems, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on antennas, millimeter-wave systems, and AI-driven RF sensors with applications in 5G/6G communications, biomedical engineering, and smart systems. His research interests span antenna design (including phased arrays, metamaterials, and compact structures), AI integration in electromagnetic systems, and medical sensor technologies. Recent projects include drone-based electromagnetic signature analysis, vibration energy harvesting for pacemakers, and smart healthcare systems for posture recognition and surgical site infection monitoring. Key projects include DRONES: Drone-Obtained Electromagnetic Signatures (2024–2028), Sensor Intelligence for Healthcare and Sports (2022–2027), and DeepBone (2021–2022), which explored deep learning for surgical infection detection. His work also bridges machine learning and electromagnetic design, with breakthroughs in surrogate modeling and automated antenna optimization. Ming Shen has supervised 6 PhD students and published over 160 peer-reviewed articles. Notable contributions include AI-assisted NLOS sensing, ultra-wideband antenna innovations, and medical applications such as electrical impedance-based bone healing assessment.

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +5 more

Giovanni Geraci is a Tenured Professor at the Department of Information and Communications Technologies, Universitat Pompeu Fabra. Specializing in applying AI/ML to wireless communications, he focuses on GenAI for data augmentation and LLMs for telecom applications. His expertise spans 5G/6G cellular and Wi-Fi (IEEE 802.11be/bn) technologies, informed by roles at Nokia Standards, Telefónica, and Bell Labs. He holds the IEEE Communications Theory Early Achievement Award (2023) and the IEEE Outstanding Young Researcher Award (2018). Research interests include AI-driven network design, UAV communications, and next-generation wireless standards. He has authored over 100 publications, including Best Paper Awards at IEEE ICC (2025), Globecom (2022), and PIMRC (2019). Geraci has led academic roles like Head of Telecommunications Engineering and is an IEEE Distinguished Lecturer, delivering over 100 keynotes globally. He created the IEEE course 'Fundamentals of Wi-Fi' and teaches Signals and Systems, praised for his 'fantastic, passionate, and supportive' teaching style. Geraci’s work bridges academia and industry, addressing challenges in cellular networks for UAV corridors, millimeter-wave channel modeling, and integrated terrestrial/non-terrestrial networks. His recent research explores AI/ML applications for 6G, Wi-Fi 7/8, and data-driven optimization of telecom infrastructure.

Fawwaz T. UlabyView profile

Professor

• Remote Sensing
• Microwave Engineering
• Applied Electromagnetics
• +4 more

Fawwaz T. Ulaby is the Emmett Leith Distinguished University Professor of Electrical Engineering and Computer Science at the University of Michigan. He served as Vice President for Research (1999-2005) and founded the NASA-funded Center for Space Terahertz Technology. A member of the National Academy of Engineering and Fellow of IEEE/AAAS, his work focuses on microwave remote sensing, radar systems, and electromagnetic modeling. Key Research Areas: Remote Sensing, Applied Electromagnetics, RF Circuits, and Plasma Remote Sensing. Leadership Roles: Directed interdisciplinary NASA projects, served on scientific boards, and supervised 115 graduate students. His research spans satellite radar sensor development, terahertz technology, and dielectric property modeling for Earth observation. Publications include 16 books and over 700 journal articles, with notable works on vegetation/snow dielectric constants and polarimetric radar algorithms. Scientific Awards: IEEE Thomas Edison Medal (2006), Pecora Award (2001), IEEE Electromagnetics Award (2001), Kuwait Prize for Applied Science (1987), and multiple IEEE Fellowships. Leadership: President of IEEE Geoscience and Remote Sensing Society (1979-1981), founding Director of NASA Center. Textbook Contributions: Authored Microwave Remote Sensing series and Electromagnetics for Engineers .

Bo TanView profile

Associate Professor

• Wireless Communications
• Signal Processing
• Machine Learning
• +7 more

Bo Tan is an Associate Professor in Communications Engineering and Signal Processing at the Department of Electronic and Electrical Engineering, University College London (UCL). He previously held positions as Associate and Assistant Professor at Tampere University, Finland, where he retains a Docent title. His research focuses on radio signal processing, wireless communications, integrated sensing and communication (ISAC), machine learning applications in healthcare, and radar systems. He has coordinated major projects such as ANCHOR (Horizon Europe MSCA Doctoral Networks) and SPHERE-DNA (Finland Research Council), and serves as an Associate Editor for IEEE Wireless Communications Letters. Education: PhD in Engineering, University of Edinburgh (United Kingdom) Postdoctoral Researcher roles at: University College London (Computer Science & Electronic Engineering) University of Bristol (Electrical and Electronic Engineering) Research Interests: Wireless communication systems (5G/6G, THz, mmWave) Radar-communication integration and dual-functional systems Machine learning for signal processing and healthcare Integrated sensing and communication (ISAC) architectures Non-invasive healthcare monitoring via passive sensing Key Projects (2021–2025): ANCHOR (2025–2029): Research Coordination Committee lead SPHERE-DNA (2021–2024): PI focusing on federated learning for eHealth ACCESS (2021–2025): PI on wireless network security DIOR (2022–2027): Coordinator for H2020 MSCA Professional Roles: Vice Chair, IEEE Finland AP/ED/MTT Chapter Reviewer for IEEE/ACM/IET journals Labs/Teams: Leading the SPHERE-DNA initiative on privacy-preserving healthcare systems Active contributor to the IEEE's wireless communication standards

• Network Science
• Information-Centric Networking (ICN)
• Urban and Transportation Networks
• +7 more

Wei Koong Chai is a Senior Lecturer in the Department of Computing and Informatics at Bournemouth University and Deputy Head of Department at University College London (UCL), also within the Department of Computing and Informatics. He has held these academic positions since 2016 and 2024 respectively, demonstrating sustained contributions to higher education and research leadership. His research focuses on network science, information-centric networking (ICN), urban and transportation networks, smart grids, and resilience in complex systems. Key areas include traffic congestion modeling using SIR epidemic models, robustness assessment of urban road networks, deep learning for traffic prediction, and content delivery resilience in distributed caching systems. His work bridges theoretical network models with practical applications in smart cities and critical infrastructure. The recent publications (2021–2025) highlight a strong trajectory in applying network analytics, machine learning, and distributed systems to urban mobility and cyber-physical systems. Themes include spatio-temporal prediction, multi-scale topological analysis, and adaptive communication in flying ad hoc networks. His collaborations span institutions and disciplines, indicating interdisciplinary engagement. Scientific Awards: No scientific awards listed in the provided text. Wei Koong Chai has advised students and researchers in computing and network systems, though specific names are not listed. He has contributed to peer review, notably for PLOS Complex Systems , and is involved in impactful research projects related to smart grids, urban analytics, and information resilience. His work has been supported through institutional affiliations and collaborative grants, though specific funding sources are not detailed. He is associated with research labs and teams focused on network science, smart cities, and information-centric systems at both Bournemouth University and UCL. His future work likely extends into AI-driven urban infrastructure optimization, resilient IoT networks, and next-generation content delivery architectures.

• Antenna Design
• Dielectric Lenses
• Transmit-arrays
• +11 more

Jorge Rodrigues da Costa is a Full Professor at the Department of Information Science and Technology (ISTA), Instituto Universitário de Lisboa (ISCTE-IUL), where he also serves as Vice-Rector. He is a Senior Researcher and Coordinator of the Antenna and Propagation Group at the Institute of Telecommunications – IUL. His academic career is deeply rooted in electrical and computer engineering, with a focus on advanced antenna systems and propagation technologies. His educational background includes a Licenciado (1997) and Ph.D. (2002) in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Lisbon, and an Agregação (2010) from ISCTE-IUL. He is a Senior Member of IEEE and has held editorial positions in top journals including IEEE Transactions on Antennas and Propagation and IEEE Open Journal of Antennas and Propagation. His research interests span antenna design (dielectric lenses, transmit-arrays, RFID, MIMO, UWB), biomedical applications (microwave imaging for breast cancer and bone fracture detection), and millimeter-wave systems for 5G, satellite, and beyond-6G communications. He has contributed over 200 publications, with extensive work in IEEE journals, and co-authored four patents. His recent publications (2023–2024) highlight advancements in environmental remote sensing (plastic litter detection), medical diagnostics (bone and breast imaging), and high-performance antenna systems (low-profile transmitarrays, beam steering, 3D-printed antennas). These works reflect a strong trend toward interdisciplinary research combining electromagnetics, biomedical engineering, and sustainable technologies. He has received recognition as a Senior Member of IEEE and has been actively involved in major European projects such as TERRAMETA, aimed at shaping future 6G technologies. Jorge Costa has supervised 7 PhD theses (as supervisor or co-supervisor), 26 MSc theses , and 7 research grants , demonstrating a strong commitment to academic mentorship. He has also led research teams in developing innovative antenna systems for satellite, medical, and 5G applications. His work is supported by affiliations with the Institute of Telecommunications and active collaboration with international research groups. He leads the Antenna and Propagation Group – Lx at IT Lisboa and contributes to the Wireless Technologies thematic line. His team is engaged in cutting-edge projects including microwave imaging systems, low-power cancer screening, and roadmap development for post-6G communications.

• Microwave Engineering
• Radar Systems
• Electromagnetics
• +3 more

Prof. Dr.-Ing. Thomas Musch is a Professor in the Department of Electronic Circuit Technology at the Faculty of Electrical Engineering and Information Technology (ETIT), Ruhr University Bochum. His research focuses on advanced radar systems, microwave engineering, and sensor technology. He leads projects like MEDICI, addressing humanitarian applications such as landmine detection using microwave and radar technologies. His work intersects with electromagnetics, signal processing, and semiconductor devices. Education: Academic qualifications not explicitly listed but inferred from his position as a professor. Research Interests: Prof. Musch’s areas include radar system design, millimeter-wave sensors, phase noise analysis in circuits, and applications in industrial automation, plasma diagnostics, and non-destructive testing. His group develops solutions for real-time monitoring of fluids, gases, and bulk materials using radar and electromagnetic techniques. Publications: Over 150 peer-reviewed articles since 2015, emphasizing radar imaging, microwave components, and sensor innovation. Recent work includes ultra-wideband frequency synthesizers, dielectric waveguide characterization, and AI-driven radar data synthesis. Grants & Collaborations: Involved in interdisciplinary projects, including EU-funded initiatives and international collaborations with institutions like Universidad Pontificia Bolivariana (Colombia). His lab focuses on practical applications like plasma state supervision and humanitarian demining. Labs/Teams: Electronic Circuit Technology Lab at ETIT, specializing in radar systems, microwave circuits, and sensor development. Collaborates with industry partners for practical implementation of research.

• Wireless communications
• 5G/6G Technologies
• mmWave
• +6 more

Abhishek Kumar Gupta is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His educational background includes: Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin (2016) B.Tech.-M.Tech. dual degree in Electrical Engineering from IIT Kanpur (2010) Dr. Gupta specializes in Wireless communications , with research interests spanning 5G/6G Technologies including mmWave, THz, RIS, vehicular, and molecular communication, Quantum communications, and Stochastic geometry. His work focuses on advancing the theoretical foundations and practical implementations of next-generation wireless systems, particularly in the areas of millimeter wave communications, spectrum management, and network densification. His research has significant implications for the development of future wireless networks that can support the exponentially growing demand for mobile data. Analysis of Dr. Gupta's publications reveals a strong focus on millimeter wave cellular systems, with several papers examining modeling approaches, spectrum licensing strategies, and network analysis using stochastic geometry. His work bridges theoretical mathematics with practical wireless communication challenges, particularly addressing the fundamental limits of network densification and performance scaling in ultradense urban environments. The recurring themes in his research include spectrum efficiency, interference management, and novel approaches to wireless network architecture. Dr. Gupta has received notable recognition for his academic achievements: GE-FS Leadership Award by General Electric Foundation and Institute of International Education (2009) IITK Academic Excellence Award for four consecutive years (2006-2009) Prior to his academic career, Dr. Gupta gained valuable industry experience working with Samsung Research America as a Sr. Standards Engineer, as well as with Applied Microelectronics Circuit Corporation, FutureWei Technologies, and Nokia Networks. This industry experience informs his research approach, ensuring practical relevance alongside theoretical rigor.

• Integrated Circuits
• Quantum Computing
• mm-Wave Transmission
• +3 more

Harald Pretl is a Professor at the Department of Integrated Circuits within the Institute for Integrated Circuits and Quantum Computing at Johannes Kepler University Linz (JKU). Holding the title Univ.-Prof., he maintains active research leadership with current projects extending through 2029 and 107 documented research outputs including patents, articles, and conference proceedings. His research spans integrated circuits, quantum computing, mm-wave transmission, biomedical sensing, and open-source EDA tools. He specializes in high-frequency circuit design, ultra-low-power biomedical sensors, and educational applications of open-source design methodologies for analog/mixed-signal IC development. Recent work demonstrates cross-disciplinary innovation bridging engineering, neuroscience, and artistic expression. Recent publications reveal strong emphasis on practical implementation challenges: THz transmitter efficiency, brain-computer interface applications, ADC performance metrics, and open-source layout automation. These works collectively advance wireless communication systems, biomedical instrumentation, and accessible semiconductor design education through open-toolchain development. Prof. Pretl has supervised 3 students and actively promotes open-source EDA adoption through educational initiatives. His funded projects include Sub-blocks generators for NSSAR ADC (2025-2029), Open Parasitic Extraction for KLayout, and United Micro Technology collaborations, demonstrating sustained industry engagement. He co-leads the JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab) and contributes to the High-Performance Integrated Quantum Computing project. Current activities include 42 documented presentations such as 'Using Open-Source EDA Tools in Hands-On IC Design Education' (2025) and 'Recent Developments in Ultra-Low-Power Biomedical Sensing' (2025), reflecting his dual focus on research innovation and pedagogical advancement.