Stuart Cogan is a Professor in the Department of Bioengineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. He leads the Neural Interfaces Lab, focusing on materials and devices for chronic neural stimulation and recording. His research emphasizes implantable electrode stability, electrochemical characterization, and minimizing tissue damage. Education: ScD in Materials Science (MIT, 1979), MS in Materials Science (Duke, 1977), BS in Mechanical Engineering (Duke, 1975). Research interests include neural prosthetics, thin-film electrode fabrication, and long-term implant performance. Key innovations involve amorphous silicon carbide coatings and flexible microelectrode arrays. Recent work explores electrode materials for chronic use, including iridium oxide and ruthenium oxide, and evaluates their electrochemical stability under stimulation. Studies address mechanical insertion mechanics, parasitic capacitance in arrays, and wireless stimulation systems for peripheral nerves. Publications span neural interface design, in vivo testing, and material degradation analysis. His lab’s advancements aim to improve chronic implant longevity and therapeutic efficacy in neural prosthetics and neuromodulation therapies.
Joshua A. Levine is an Associate Professor in the Department of Computer Science at the University of Arizona. His research focuses on visualization, topological data analysis, and high-performance computing, with applications in quantum-inspired computing and geometric modeling. He leads the HDC Lab and has previously held postdoctoral and faculty positions at the University of Utah’s Scientific Computing and Imaging Institute and Clemson University. Education: PhD in Computer Science, The Ohio State University (Advisor: Tamal K. Dey) BS and MS in Computer Science, Case Western Reserve University (Advisor: Michael S. Branicky) Research Interests: Levine's work spans visualization algorithms, topological methods for scientific data, and computational tools like TTK, Cleaver, and DelPSC. He integrates high-performance computing and acoustic metamaterials for quantum-analogue systems, addressing challenges in nonlinear dynamics and scalable data processing. Grants & Funding: NSF New Frontiers of Sound (NewFoS) Center (DMR-2242925) DOE Neural Field Processing for Visual Analysis (DE-SC-0023319) NSF Collaborative Research: Neural Volume Visualization (IIS-2006710) Awards: 2024-2025 Faculty Teaching Award 2023-2024 Faculty Service Award 2020-2021 DEI Award Teaching: Levine teaches advanced visualization courses (CSC 544/444), emphasizing d3.js, SVG, and data-driven design. Recent courses include Spring 2025's CSC 544 with topics like flow visualization and transfer functions. Labs & Collaborations: His group collaborates on projects like TTK (Topology ToolKit) and explores applications in acoustic computing, leveraging interdisciplinary approaches to advance visualization and computational methods.
Dr. Lijun Jiang is the Kummer Endowed Professor at the Department of Electrical and Computer Engineering, Missouri University of Science and Technology. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2004) and has extensive industry and academic experience. He is an IEEE Fellow and ACES Fellow, recognized with awards including the IEEE Technical Achievement Award and IBM Research Technical Achievement Award. Education: Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA M.S. in Electrical Engineering, Tsinghua University, China B.S. in Electrical Engineering, Beijing University of Aeronautics and Astronautics, China Research interests focus on electromagnetic modeling, high-speed electronic design, machine learning for signal/power integrity, microwave materials, and optics. His work bridges theoretical advancements with practical applications in antenna engineering and EDA solutions. Awards include IEEE Fellow (2019), ACES Fellow (2019), and the World’s Top 1% Scholar by ESI (2018). His recent research explores data-driven frameworks for electromagnetic near-field scanning and MIMO channel sounding. Key contributions include patents in antenna design and methodologies for electromagnetic compatibility. He has authored books on electromagnetic modeling and contributed chapters on metamaterials and angular momentum engineering.
Andrew Santiago-Frangos is the M. Jane Williams and Valerie Vargo Presidential Assistant Professor of Biology and Assistant Professor of Biology at the University of Pennsylvania’s Department of Biology. His research focuses on understanding how bacteria and archaea employ CRISPR systems to create DNA-based memories of viral infections and signal immune responses. The Santiago-Frangos lab is located in the Leidy Laboratories and uses structural, biochemical, and computational approaches to explore CRISPR integration mechanisms and diagnostic applications. Education: B.Sc. with Year in Industry (Biochemistry, University of Leicester, 2012); Ph.D. (Cell, Molecular, Developmental Biology & Biophysics, Johns Hopkins University, 2018); Post-Doc (Montana State University, 2023). Research Interests: Mechanisms of CRISPR integration via DNA folding and host protein interactions. CRISPR-generated nucleotide signaling pathways and their parallels to eukaryotic immunity. Development of CRISPR-based diagnostics (e.g., SARS-CoV-2 detection). Awards & Funding: NIH MOSAIC K99/R00 Grant (2020–2025). Burroughs Wellcome Fund Postdoctoral Enrichment Award. Frances Velay Fellowship (for student Arav Nangia). Lab Culture: Emphasizes diversity, open communication, and a strong work-life balance. Core values include curiosity, integrity, and growth. The lab actively mentors undergraduate, graduate, and postdoctoral researchers. Key Collaborations: Affiliated with the Biochemistry & Molecular Biophysics (BMB), Microbiology, Virology & Parasitology (MVP), and Genomics & Computational Biology (GCB) graduate groups at UPenn.
Dr. Dmitry Zelenchuk is a Senior Lecturer at Queen's University Belfast, affiliated with the School of Electronics, Electrical Engineering and Computer Science and the High Frequency Electronic Circuits Institute of Electronics, Communications & Information Technology. His research focuses on millimeter-wave antennas, metamaterials, reconfigurable intelligent surfaces (RIS), and 5G/6G communication systems. He leads and collaborates on projects such as the Future Communications Hub (HASC Hub) and REASON (Open Networks). Dr. Zelenchuk has authored/co-authored over 140 publications and received awards including the Russian Ministry of Education Medal (2001) and the IET Best Paper Award (2018). He actively supervises PhD students in mm-wave antennas, automotive radar sensors, and RIS technologies. Education: Not explicitly stated in provided texts Research interests span electromagnetic theory, material characterization, and antenna design for mm-wave applications. His work addresses challenges in automotive radar, wireless communication links, and nanostructure-based systems. Dr. Zelenchuk's projects emphasize sustainable 6G networks and practical mm-wave UE performance in RIS-assisted networks. Key collaborations include studies on reconfigurable surfaces, 6G physical layer technologies, and smart radio environments. His labs and teams focus on experimental validation of antenna arrays and RIS applications, contributing to advancements in wireless systems.
Okan Yurduseven is an Associate Professor and Reader at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. He leads the ElectroMagnetic Imaging and Sensing (EMIS) Lab within the Centre for Wireless Innovation and holds an adjunct professorship at Duke University. His research focuses on antennas, microwave/millimeter-wave imaging, metamaterials, and computational radar systems. Yurduseven has over £15M in competitive grants from bodies like the Leverhulme Trust, EPSRC, and DSTL. He has authored 300+ peer-reviewed publications and serves on editorial boards for IEEE Transactions on Antennas and Propagation, Nature Scientific Reports, and others. His awards include the Leverhulme Trust Research Leadership Award (2020), Young Scientist Award (2021), and multiple outstanding editor recognitions. His lab develops innovative systems for security screening, wireless power transfer, and next-gen communication technologies. Recent work explores dynamic metasurface antennas and frequency-diverse imaging techniques to enhance hardware efficiency while maintaining high resolution.
John A. Judge is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering, Catholic University . He served as Dean of the School of Engineering from 2017 to 2025 and previously held a National Academy of Sciences Research Associateship at the Naval Research Laboratory in Washington, D.C. Education Ph.D., Mechanical Engineering, University of Michigan, 2002 M.S.E., Mechanical Engineering, University of Michigan, 1998 B.S., Mechanical & Aerospace Engineering, Cornell University, 1996 Research Interests : Judge specializes in the vibration and dynamics of complex structures, focusing on vibration localization, resonant MEMS/NEMS systems, nonlinear dynamics, laser vibrometry, and seismic/acoustic detection of explosives. His work bridges theoretical and applied mechanics, with applications in naval engineering, micro/nano-sensing, and structural acoustics. Publication Trends : His research spans vibration control in mechanical arrays, fluid-structure interactions in MEMS/NEMS, experimental methods for dynamic system characterization, and acoustic detection technologies. Key themes include optimizing damping mechanisms, analyzing hydrodynamic behavior, and advancing laser-based measurement techniques for non-planar surfaces. Contact Information : Email: judge@cua.edu Office: 101 Pangborn Hall Phone: 202-319-5160
Jiang Zhe is a Professor in the Mechanical Engineering/Biomedical Engineering department at the University of Akron . With a career spanning over two decades, Dr. Zhe has made significant contributions to micro/nano sensor technology, biosensors, and machine health monitoring. He joined the University in 2003 after industry experience at Fitel Technologies and Advanced Micro Sensors, and was recognized as a Fellow of the American Society of Mechanical Engineers. Ph.D., Columbia University (2002) M. Phil., Columbia University (2000) B.S., Northwestern Polytechnic University (1993) Dr. Zhe’s research focuses on Micro and Nano Sensors , Lab-on-a-Chip , and Microfluidic Devices . His work integrates Artificial Neural Networks and Biosensors for applications in Machine Health Monitoring and Biomolecular Detection . Recent publications highlight advancements in Viscoelastic Fluids , Surface Charge Analysis , and Deep Learning for Sensor Arrays . Dr. Zhe has secured 11 funded NSF grants and received prestigious awards including the ASME Lewis F. Moody Award and the College of Engineering Outstanding Researcher Award . He leads a research group at the University of Akron’s MEMS Laboratory, where he develops cutting-edge technologies for particle manipulation, fluid analysis, and biomedical diagnostics. His laboratory specializes in Microfluidic Resistive Pulse Sensors , Inductive Sensors , and Wearable Devices , with applications in automotive systems, healthcare diagnostics, and environmental monitoring. Dr. Zhe’s interdisciplinary approach bridges mechanical engineering, biomedical science, and machine learning to solve complex challenges in sensor design and fluid dynamics.
Berend Willem Martijn Kuipers is affiliated with Universidade Lusófona in Lisbon, Portugal, where he contributes to research in telecommunications and network systems. He holds a doctoral degree from Aalborg University of Technology, Denmark, a Master's from Delft University of Technology, Netherlands, and a Bachelor's from Rijswijk Institute of Technology. Bachelor of Science, Rijswijk Institute of Technology, The Netherlands Master of Science, Delft University of Technology, Delft, The Netherlands Doctor of Philosophy, Aalborg University of Technology, Aalborg, Denmark His research focuses on wireless communication technologies, particularly in the areas of MIMO systems, video quality optimization over IP networks, and robust communication for emergency services. His work bridges theoretical modeling and practical implementation in real-world network environments. Key interests include channel modeling, signal processing, and AI applications in networking. The publication timeline from 2002 to 2022 shows a consistent research trajectory centered on enhancing wireless network performance. Early work focused on Bluetooth and MIMO channel modeling, while later contributions address video quality, substation network delays, and the integration of artificial intelligence in communication systems. These works reflect expertise in both fundamental wireless principles and modern network challenges. No scientific awards were mentioned in the provided text. No information is available regarding student supervision, research grants, or funding sources. No specific laboratory or research team affiliations are mentioned in the provided content.
Marco Will is a Project Employee at Aalto University's Department of Applied Physics , specializing in quantum devices and nanoscale systems. He holds a Master's degree in Engineering and Technology from Rheinisch-Westfälische Technische Hochschule Aachen (awarded 2016). Education: Master's in Engineering and Technology (RWTH Aachen, 2016) Marco's research focuses on graphene-based quantum systems , carbon nanotubes , and superconducting microwave devices . Key areas include low-noise amplification , thermal response dynamics , and entanglement generation using advanced nanofabrication techniques. His work often intersects with quantum technology , microwave engineering , and condensed matter physics . Recent publications highlight his expertise in graphene microwave resonators , Josephson junction fluctuations , and Kerr-free metamaterials for quantum information processing. Collaborations span institutions in Europe, with datasets contributed to open repositories like Zenodo. Marco has presented at international conferences, including a 2020 talk on suspended CNT weak links for condensed matter sensing. His research outputs include 13 publications, multiple datasets, and a doctoral thesis on low-dimensional electrical systems .
Professor Robert G. Maunder is affiliated with the University of Southampton and leads research in wireless communications, algorithms design, and hardware implementation. He has been with the School of Electronics and Computer Science since 2000, advancing from Lecturer to Professor in 2017. BEng (First Class) in Electronic Engineering (2003) PhD in Telecommunications (2007) His research focuses on joint source/channel coding and optimizing wireless communication systems through algorithm-hardware co-design. Recent work includes 5G non-terrestrial networks, OTFS modulation, and quantum code decoding. Key collaborators include Prof. Lajos Hanzo and Prof. Sir Bashir Al-Hashimi. Selected awards: IEEE Senior Member (2012), Chartered Engineer (IET, 2013), Fellow of the IET (2017). He supervises PhD student Arumjeni Mitayani and founded AccelerComm Ltd to commercialize soft-IP solutions.
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.
Diana Pamela Moya Osorio is Associate Professor at the Communication Systems Division, Department of Electrical Engineering, Linköping University, Sweden, and an ELLIIT recruited faculty. She previously held positions as Senior Research Fellow and Adjunct Professor at the Centre for Wireless Communications, University of Oulu, Finland, and Assistant Professor at the Federal University of São Carlos, Brazil. Education: B.Sc. in Electronics and Telecommunications Engineering, Armed Forces University, Ecuador (2008) M.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2011) D.Sc. in Electrical Engineering (Telecommunications and Telematics), University of Campinas, Brazil (2015) Her research focuses on wireless communications , particularly signal processing for wireless systems , physical layer security , and integrated sensing and communications (ISAC) . These areas are central to the development of secure and efficient 6G networks. She investigates how wireless signals can be leveraged for both communication and environmental sensing, enhancing network intelligence and security through physical layer techniques. Her recent publications explore advanced topics such as fluid antenna systems , bistatic backscatter communication , beamforming design , and radio-over-fiber propagation . These works reflect a strong trend toward energy-efficient, secure, and high-resolution wireless systems, aligning closely with the goals of next-generation 6G networks. The integration of sensing and communication functionalities is a recurring theme, indicating a forward-looking research agenda focused on dual-use technologies. Scientific Service and Recognition: Associate Editor, IEEE Wireless Communications Letters Associate Editor, IEEE Communications Letters Associate Editor, IEEE Transactions on Information Forensics & Security Working Group Leader, Trustworthy 6G, Cost Action 6G-PHYSEC Diana Moya Osorio actively mentors PhD students and leads significant research initiatives. She is Principal Investigator (PI) for projects including HIGH-SENSE (ELLIIT), ALERT (WASP), and CO-ISAC (Vinnova), and holds leadership roles in 6GTANDEM (HORIZON-JU). Her grants are funded by major national and international agencies, reflecting the high impact and competitiveness of her work. As main supervisor, she advises Henrik Åkesson and Palatip Jopanya; as co-supervisor, she supports Ahmet Kaplan and Dexin Kong. She contributes to academic education by teaching graduate courses such as Information and Communications Engineering , Sensor Array Systems , and a PhD course on Modern Radar Systems . Her lab and research group are embedded within the Communication Systems Division at Linköping University, focusing on next-generation wireless technologies, particularly in the context of 6G and ISAC systems.
Kent Palmkvist is an Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering (ISY) and the Division of Electronics and Computer Engineering (ELDA). His work bridges research and education in digital, analog, and mixed-signal electronics, with a focus on programmable systems and processor design. Research Interests: Digital and mixed-signal circuit design FPGA-based high-performance computing Asynchronous (GALS) system architectures Low-power and energy-efficient design techniques Calibration and testing of high-resolution ADCs Hardware implementation of signal processing algorithms His recent publications highlight expertise in large-scale FFT implementations on FPGAs and innovative design flows for asynchronous systems, indicating a strong focus on hardware efficiency and scalability. Scientific Contributions: Pioneered design methodologies for integrating asynchronous modules using conventional synchronous tools Developed high-throughput FFT architectures capable of processing 1 million points on a single FPGA Advanced calibration techniques for flash ADCs using histogram methods Advising and Grants: While no formal students or grant details are listed in the provided text, his collaborative publications suggest active engagement in research teams and potential supervision of graduate students. His work likely involves industry and research collaborations, given the applied nature of his research and ISY’s emphasis on industrial partnerships. Labs and Teams: Kent Palmkvist is a key member of the Division of Electronics and Computer Engineering (ELDA), where he contributes to research in advanced electronic systems. The division conducts cutting-edge work in both analog and digital domains, supporting a collaborative environment for innovation in electronics and computing.
Fauzia Ahmad is an Associate Professor in the Department of Electrical and Computer Engineering at the College of Engineering, Temple University. She has previously held the position of Research Professor and Director of the Radar Imaging Lab at Villanova University. Her research is supported by major U.S. federal agencies, with over $7M in awarded research funding as Principal or Co-Principal Investigator. Ph.D. in Electrical Engineering, University of Pennsylvania, 1997 Dr. Ahmad's research focuses on statistical signal and array processing , computational imaging , and multi-modal sensing . Her work spans applications in through-the-wall radar , ground-penetrating radar , remote patient monitoring , and structural health monitoring . She employs advanced techniques in compressive sensing , sparse reconstruction , and machine learning to solve real-world sensing challenges. The recent publications highlight a strong trend in radar micro-Doppler signature analysis for human activity recognition, coprime array signal processing for super-resolution, and tensor decompositions in MIMO radar and communications. Her work increasingly integrates machine learning with traditional signal processing for robust detection and classification in noisy, real-world environments. Dr. Ahmad has received several prestigious honors: Fellow of the IEEE Fellow of the SPIE Chair of the IEEE Dennis J. Picard Medal Committee (2018-2020) She has served as an Associate Editor for multiple top-tier journals including IEEE Transactions on Signal Processing , IEEE Transactions on Aerospace and Electronic Systems , and IEEE Transactions on Computational Imaging , where she is currently a Senior Area Editor. She has led major conference series such as the SPIE Compressive Sensing and SPIE Big Data conferences. Her research is conducted through the Multi-modal Sensing and Imaging Lab , where she mentors students and collaborates on interdisciplinary projects involving radar, communications, and biomedical applications.
