Find Academic Supervisors

Andrew D. ParsekianView profile

Associate Professor

• Environmental Geophysics
• Hydrology
• Cryosphere Science
• +7 more

Andrew D. Parsekian is an Associate Professor in the Department of Geology & Geophysics at the University of Wyoming, part of the College of Engineering and Physical Sciences. He serves as Director of the Hydrologic Science Program and is actively engaged in research and graduate education in environmental geophysics. Ph.D., Rutgers-Newark, 2011 B.S., Dickinson College, 2005 His research focuses on environmental geophysics, particularly the application of non-invasive geophysical methods to study groundwater and cryospheric systems. His group specializes in ground-penetrating radar, electrical resistivity tomography, seismic refraction, and nuclear magnetic resonance. These tools are used to investigate permafrost dynamics, active layer processes, snow distribution, and hydrogeophysical inversion in complex terrains. His recent publications (2024–2025) span high-impact journals such as Geophysics , Journal of Geophysical Research , and The Cryosphere . The work demonstrates a strong trend toward integrating geophysical data with hydrological models, incorporating uncertainty quantification, and applying machine learning to hydrofacies classification. Many of his papers feature student lead-authors, highlighting his active mentorship in graduate research. Scientific contributions include leadership in the ABoVE airborne radar surveys and the Permafrost Dynamics Observatory. His work bridges geophysics, hydrology, and climate science, with growing emphasis on remote sensing and big data analytics. Machine learning-based hydrofacies classification Uncertainty quantification in geophysical inversion Permafrost and active layer monitoring Snow distribution and non-Gaussian statistics Hydrogeophysical data fusion Remote sensing of boreal and Arctic systems Dr. Parsekian teaches Fundamentals of Research for incoming graduate students and Engineering and Environmental Geophysics every odd-year spring. He advises several graduate students, many of whom have led recent publications. His research is supported by active collaborations and data-sharing initiatives, though specific grants are not listed in the text. He leads a dynamic research group focused on advancing near-surface geophysical techniques for environmental applications. He is affiliated with the Hydrologic Science Program and conducts fieldwork in diverse environments, from Arctic permafrost regions to tropical peatlands. His team combines field data collection with advanced data processing and modeling, contributing to both theoretical and applied geophysics.

Gafaru MoroView profile

Research Fellow

• Medical Devices
• Gut Microbiome
• Biocompatibility
• +3 more

Gafaru Moro is a Postdoctoral Researcher at the Department of Health Technology, Technical University of Denmark (DTU), specializing in medical devices for gut microbiome research. His work focuses on designing ingestible and non-invasive devices for gastrointestinal fluid and microbiota sampling, contributing to UN Sustainable Development Goals in health and well-being. He earned his Ph.D. from DTU in 2024 with the dissertation "Design of Small Mechanical Devices for Gut Sampling", supervised by Prof. Anja Boisen. His educational background includes advanced training in biomedical device engineering and microbiome analysis techniques. Dr. Moro's research bridges Biomedical Engineering and Gut Microbiome Science , with core expertise in mechanical device prototyping , biocompatibility testing , and amplicon sequencing for microbiome analysis. His fingerprint reveals deep engagement with Intestine Flora , Ex Vivo/In Vitro Testing , and Disease Diagnostics through innovative sampling methodologies. His publication trajectory shows concentrated advancement in gut-sampling technology: from fundamental material science (2023 elastomer review) to functional device validation (2024 gastric fluid sampler). Key trends include miniaturization of mechanical components, non-invasive sampling optimization, and integration of 3D-printed biocompatible materials for clinical translation. Dr. Moro led the DTU-funded PhD project "Small Mechanical Devices for Gut Sampling" (2021-2025), securing collaboration with gastroenterology experts like Dr. Andreas Koulaouzidis. His network spans 12+ international researchers in medical device innovation and microbiome diagnostics. He operates within DTU's Drug Delivery and Sensing research group, advancing device fabrication capabilities through silicone/polyurethane elastomer processing and in vitro testing infrastructure for next-generation gut health diagnostics.

• Electrical and Electronic Measurement
• Compressive Sampling
• Data Acquisition Systems
• +5 more

Ioan Tudosa is a Research Fellow at the Department of Engineering, University of Sannio, specializing in electrical/electronic measurements and signal processing. His research focuses on developing advanced measurement systems using compressive sampling techniques, with applications spanning biomedical instrumentation, IoT security, and precision metrology. Research Focus Tudosa's primary research investigates: Novel compressive sampling architectures for data acquisition systems High-accuracy phase measurement instruments (collaborating with NIST on a $1M project) IoT security solutions through hardware measurement techniques Biomedical monitoring systems for ECG and pulse wave analysis Machine learning applications in measurement science His work bridges theoretical signal processing with practical instrumentation design for industrial and medical applications. Publication Trends Tudosa's recent publications demonstrate three key trends: Advancements in compressive sensing for spectrum monitoring and biomedical signal acquisition Integration of machine learning with measurement systems for anomaly detection Development of IoT-enabled monitoring platforms for structural health and industrial safety His research shows consistent focus on improving measurement accuracy while reducing system complexity and power consumption. Research Infrastructure Tudosa collaborates with the National Institute of Standards and Technology (NIST) and leads projects developing specialized testbeds for: High-frequency phase measurement Wireless spectrum monitoring Structural health monitoring using IoT networks Wearable biomedical sensors

• Biomedical Engineering
• Integrated Circuits
• Flexible Electronics
• +3 more

Fabrice Seguin is a Lecturer at IMT Atlantique 's Department of Optics (OPT), with over two decades of expertise in integrated circuit design for biomedical sensors and flexible electronics. His career began at Telecom Bretagne in 2002 after completing his PhD in Bordeaux (2001) on high-speed current-conveyors for RF circuits. Research Focus Smart contact lens systems for eye tracking Stretchable textile transducers for biomechanical/flow sensing Low-power analog/digital processing for autonomous sensors Medical imaging photonics (liquid xenon detectors) Key Publications highlight advancements in: Multiphoton Compton cameras via Time-Over-Threshold photon counting PEDOT:PSS-coated elastane yarns with 600% stretchability Subthreshold CMOS ASICs for gaze tracking with 0.2° accuracy Scientific Awards include the 2nd OPTIM-ABB Prize Paper Award (2002). His patents cover contact lens eye-tracking systems and RF energy harvesters. Seguin co-leads the Hardware Architectures and CAD Tools team at Lab-STICC and contributes to PRACOM research pole.

Yang LiView profile

Professor

• Antenna Design
• Wireless Propagation
• Electromagnetics
• +12 more

Dr. Yang Li is a Professor in the Department of Electrical and Computer Engineering at Baylor University, where he has been a faculty member since 2011. He holds a PhD from The University of Texas at Austin and specializes in electromagnetics, antenna design, wireless propagation, and radar systems with applications in wearable and biomedical sensing. PhD, Electrical and Computer Engineering, The University of Texas at Austin (2011) MS, Electrical and Computer Engineering, The University of Texas at Austin (2007) BS, Electrical Engineering, University of Science and Technology of China (2005) His research focuses on antenna design for body-worn applications , electromagnetic wave propagation on and around the human body , metamaterials , electrically small antennas , and wireless sensing using radar and AI . He investigates how dynamic human motion affects wireless channels and develops wearable antennas using electronic textiles. His work integrates deep learning for classifying human activities from wireless signals and radar micro-Doppler signatures. The recent publications demonstrate a strong trend in millimeter-wave radar for non-contact vital sign and motion monitoring , on-body creeping wave propagation , MIMO antenna design , and durability of e-textile antennas . His research bridges theoretical electromagnetics with practical applications in healthcare, automotive safety, and wearable technology. Scientific awards include: CST University Publication Award IEEE Antennas and Propagation Society Doctoral Research Award Chinese Government Award for Outstanding Students Abroad Houston Endowment President’s Excellence Fellowship Multiple Best Student Poster Awards (1st, 2nd, 3rd place) Young Scientist Award, URSI Atlantic Radio Science Conference (2015) 3rd Prize, USNC-URSI Student Paper Contest (2010) Dr. Li actively advises graduate and undergraduate students, with many of his publications co-authored by student researchers marked with asterisks. He has secured funding for research in wearable antennas, body-area propagation, and radar sensing. He teaches core courses such as Signals and Systems, Applied Electromagnetic Fields, Antennas & Wireless Propagations, Radar Systems, and Antenna Design. He leads a research group focused on Wireless Antenna Design for the Human Body , conducting experiments using motion-capture systems, phantom models, and radar measurements. The lab investigates e-textile durability, human micro-Doppler signatures, and AI-driven classification of physiological and motion data.

• Environmental Archaeology
• Geoarchaeology
• Paleoecology
• +4 more

Katarina Gerometta is an Assistant Professor at the Department of Archaeology, Faculty of Humanities, Juraj Dobrila University of Pula. She holds a PhD in Archaeology from the University of Zagreb (2017) and has extensive experience in archaeological excavations across Croatia, Italy, Serbia, France, and other regions. Her research focuses on environmental archaeology, geoarchaeology, and paleoecology, with a strong emphasis on cave studies, prehistoric landscapes, and human-environment interactions. Education: Bachelor's and PhD in Archaeology from the University of Zagreb. Research Interests: Gerometta specializes in interdisciplinary approaches to prehistoric and paleoenvironmental studies, including geoarchaeological analyses of cave sediments, climate change impacts, and hunter-gatherer adaptations. She has led and contributed to projects such as RoLand (Roman Landscape Dynamics), MOPRENS (Modelling Prehistoric Networks), and ArchaeoCulTour (Cultural Tourism in Vrsar). Her work often integrates micromorphology, lithic analysis, and geophysical methods to reconstruct past environments and human activities. Publications: Her recent work explores cave use in Croatia, Neanderthal behavior in the Danube Gorges, and geoarchaeological analyses of sites like Škarin Samograd and Mujina Pećina. Key themes include pastoralism, cave microstratigraphy, and prehistoric technological innovations. Grants & Projects: Active in collaborative research since 2010, including roles in projects investigating the Lim Channel, Istrian Roman land division, and Adriatic prehistoric networks. She has also contributed to international excavations and conferences. Labs/Teams: Affiliated with the Centre for Interdisciplinary Research in Landscape Archaeology (CIRLA) and collaborates with institutions like the Archaeological Museum of Istria and the University of Cambridge. Her fieldwork includes leading excavations and employing advanced geophysical techniques such as LIDAR and earth resistance tomography.

• Semantic Communication
• Resource Allocation Mechanisms
• 6G Networks
• +3 more

Alexander Griessel is a Researcher and PhD candidate at the Chair of Communication Networks (Prof. Wolfgang Kellerer) at the Technical University of Munich (TUM). He holds a B.Sc. (June 2020) and M.Sc. (December 2021) in Electrical and Computer Engineering from TUM. His research focuses on Resource Allocation Mechanisms in Semantic Communication , particularly addressing resilience and efficiency in 6G channels. He contributes to the Semantic Communication project and serves as a teaching associate for the Internet Kommunikation course. His work spans semantic resilience strategies , real-time video/image communication , and 6G network design . Recent research includes lossy coding techniques for semantic images, adaptive systems for challenging 6G environments, and non-invasive sensor solutions for infrastructure monitoring. His publications also explore cybersecurity (website fingerprinting) and reinforcement learning for network trace generation. Alexander actively supervises master's theses on topics like semantic symbol prioritization and reliability analysis in 5G/6G channels. He collaborates on TUM's 6G testbed initiatives and contributes to the 6G-life and Flexibility research networks. His interdisciplinary approach bridges communication theory with practical network implementations.

Mahdi SalehView profile

Researcher

• Instrumentation and Measurement
• Biosensors
• Wearable Healthcare Monitoring
• +6 more

Mahdi Saleh is a Researcher at the Department of Electrical and Electronic Engineering, University of Manchester, UK, and concurrently holds a Research Associate position at the University of Lincoln (from Sept 2024). He also serves as Associate Editor for IEEE Transactions on Instrumentation and Measurement. His expertise spans instrumentation, embedded systems, and biosensors. Saleh earned his Ph.D. in Electrical and Computer Engineering from the American University of Beirut (2021), with a thesis on capacitive sensor arrays for oil film measurement, leading to a US patent. Education: Doctor of Engineering in Electrical and Computer Engineering, American University of Beirut (2021) Research Interests: Saleh focuses on developing embedded measurement systems for biosensors, wearable healthcare devices (e.g., EEG monitoring), and environmental IoT networks. His work addresses challenges in oil spill detection, signal processing, and sensor durability under harsh conditions. Recent efforts include low-power wearable EEG systems and AI-driven artifact removal techniques. Publications Trends: His articles emphasize wearable biomedical devices (EEG monitoring), environmental sensors (oil under ice detection), and IoT-enabled agricultural systems. Methodologically, he combines capacitive sensing, machine learning, and edge computing. Awards: Best Outstanding Contribution to Research Impact (2023, University of Manchester) CNRS-L/AUB Ph.D. Scholarship (2016) First Place in BLF-IFI Climate Change Competition (2018) Outstanding Reviewer for IEEE TIM (2020, 2021, 2023) Advising & Grants: Though no formal advisees are listed, his postdoctoral and current roles imply active mentorship. He contributed to EU-funded projects on sensor networks and oil spill detection. Labs/Teams: Member of the Non-Invasive Bioelectronic Systems group at Manchester, focusing on wearable medical devices and bioelectronic innovations.

• Robotics
• Biomedical Engineering
• Magnetic Navigation Systems
• +3 more

Roland Dreyfus is a researcher whose work bridges robotics and biomedical engineering, with a focus on magnetic navigation systems and medical device innovation. He has contributed to the development of electromagnetically guided surgical tools, helical magnetic robots for endovascular access, and continuum robots for endoluminal interventions. His research spans interventional radiology, fetal surgery, and computational modeling, with applications in neurovascular procedures and cardiovascular diagnostics.

• Statistical Modeling
• Machine Learning
• Artificial Intelligence
• +4 more

Katrine Harder Clemmensen is a Professor at the Department of Mathematical Sciences , University of Copenhagen . She specializes in statistical modeling , machine learning , and statistical evaluation of AI systems , with particular emphasis on low-resource domains , explainable modeling , and fair health/life science applications . External Employment: Co-founder & Chief Science Officer at Interhuman AI Research Trends (2024-2025): Focus on health applications of ML/AI Developing fair/explainable algorithms for clinical use Interdisciplinary work in psychiatry , microbiome analysis , and neuroimaging Methodological contributions to clustering , self-explainable models , and emotion recognition Selected Publications (2025): Gene co-expression networks in scRNAseq data Computational psychiatry applications in OCD Remote sensing for crop health microbiome studies Neurostimulation techniques beyond RGB light LLM bias analysis in STEM education

• Graphene
• Ion-Selective Electrodes
• Nano-Graphene Oxide
• +12 more

Dr. Zhanna Boeva is a researcher at the Faculty of Natural Sciences and Engineering, Lomonosov Moscow State University, affiliated with the Chemistry Department. Her work bridges polymer chemistry, materials science, and biomedical engineering, focusing on sustainable technologies for health applications. Education: Doctor of Philosophy (PhD), Polymer Chemistry – Lomonosov Moscow State University (2008–2012) Master’s Degree, Chemistry – Lomonosov Moscow State University (2003–2008) Dr. Boeva’s research centers on non-invasive biosensors and graphene-based materials . Key areas include magnetohydrodynamic glucose monitoring, self-powered biosupercapacitors, and stimuli-responsive polymer composites for tissue engineering. She explores applications of ion-selective electrodes , ATR-FTIR spectroscopy , and electrospun nanofibers in health diagnostics. Her recent publications highlight trends in on-body chemical sensing and biocompatible devices , with a focus on sustainable and needle-free glucose monitoring solutions. Collaborations include international researchers in Finland and Sweden, emphasizing interdisciplinary innovation. Scientific Activities Conference Presentations (2022–2023): Presented research on low-cost graphene paper ion-selective electrodes. Academic Hosting: Hosted visiting researchers Maria Khaydukova (2017–2018) and Eszter Supala (2017).

Nathan LindquistView profile

Professor

• Nanotechnology
• Optics
• Plasmonics
• +12 more

Nathan Lindquist is a Professor of Physics in the Department of Physics & Engineering at Bethel University, within the College of Arts and Sciences. He also serves as Co-Program Director of the Pietas Honors Program, demonstrating leadership beyond his research and teaching roles. His academic home is firmly rooted in interdisciplinary applied physics and engineering. Education: B.S. in Physics – Bethel College, 2002 M.S. in Physics – University of Minnesota, 2005 Ph.D. in Electrical Engineering – University of Minnesota, 2010 Dr. Lindquist's research lies at the intersection of nanotechnology, optics, and engineering, with a strong emphasis on practical applications in biosensing, energy, and diagnostics. His work integrates plasmonics, microfluidics, and nano-fabrication to create innovative 'lab-on-a-chip' systems. He frequently employs lasers, microscopes, and molecular systems in his interdisciplinary lab, where undergraduate students are actively involved in cutting-edge research. His focus spans from fundamental nanophotonic phenomena to translational devices for healthcare and sustainability. The 15 most recent publications reflect a consistent trajectory in plasmon-enhanced sensing, nano-optical devices, and microfluidic integration. These works span disciplines including biomedical engineering, analytical chemistry, renewable energy, and nanophotonics, highlighting the cross-cutting nature of his research. Common themes include label-free detection, low-cost fabrication, and real-time monitoring using optical methods. Scientific Awards and Honors: NIH Fellowship NSF Honorable Mention University of Minnesota Doctoral Dissertation Fellowship NSF RUI Grant Award NSF TUES Grant Award NSF CAREER Grant Award Dr. Lindquist has secured significant external funding, primarily from the National Science Foundation, supporting both his research and educational initiatives. He actively mentors undergraduate researchers, many of whom co-author publications and present at conferences. His lab fosters collaboration, particularly with researchers at the University of Minnesota, and emphasizes hands-on, inquiry-driven learning. Future work is likely to expand into portable diagnostic platforms and scalable nanomanufacturing techniques. His research group, the Nanolab, operates at the forefront of applied nanophotonics, combining advanced optical techniques with microsystem engineering to solve real-world problems in health and energy.

William MitchellView profile

Researcher

• Forensic archaeology
• Holocaust archaeology
• Conflict archaeology
• +6 more

William Mitchell is a professional archaeologist at the Centre of Archaeology within the University of Huddersfield , with over 20 years of experience in research and commercial archaeology across the UK and Europe. He specializes in forensic archaeology, Holocaust sites, Shakespearean heritage, and community-led projects. Directed complex multi-period urban excavations Pioneered digital documentation techniques for UNESCO sites Collaborated with Forensic Architecture at Goldsmiths Trains students in geophysical survey and heritage management His research spans British urban archaeology , conflict landscapes , and archaeology of the built environment . His 2020-2022 publications focus on Shakespearean residences and UNESCO church preservation using advanced geophysics. Despite extensive professional engagement, no specific awards or student details are listed in the provided materials.

Nathan JeongView profile

Associate Professor

• Artificial Intelligence
• Wireless Power Transfer
• Millimeter-Wave Antenna and Systems
• +9 more

Nathan Jeong is an Associate Professor in the Department of Electrical and Computer Engineering at The University of Alabama, College of Engineering. He leads the Intelligent Sensor and Wireless System Lab (ISWS), where he conducts cutting-edge research at the intersection of artificial intelligence, wireless systems, and sensor technologies. His work is supported by major federal grants, including a $3 million project from the Federal Transit Administration and the U.S. Department of Transportation for autonomous bus safety. Ph.D., Electrical and Computer Engineering, Purdue University, 2010 Visiting Scholar, Georgia Institute of Technology, 2010 M.S., Electrical and Electronic Engineering, Yonsei University, 2002 B.S., Radio Sciences and Engineering, Korea Maritime University, 2000 Dr. Jeong's research spans artificial intelligence, wireless power transfer, millimeter-wave systems, vehicle-to-everything (V2X) communication, adaptive RF front-ends, and biomedical electronics. His lab focuses on developing intelligent sensor systems for applications in healthcare, agriculture, transportation, and public safety. He integrates machine learning with electromagnetic and RF technologies to create innovative solutions for real-world challenges. The recent publications from Dr. Jeong and his team reflect a strong trend toward intelligent sensing systems using microwave and millimeter-wave technologies. These works span domains such as non-invasive food quality inspection, wearable biomechanical monitoring, autonomous vehicle safety, and UAV-based remote sensing. The integration of machine learning with electromagnetic wave-based sensing is a unifying theme, demonstrating a multidisciplinary approach to solving complex engineering problems. National Academy of Inventors Inductee Award Faculty and Staff Innovation Pitch Competition Award IEEE Distinguished Microwave Instructor Ambassador Alabama Society of Professional Engineers Graduate Student Engineer of the Year (advised student) Randall Outstanding Undergraduate Research Award (multiple students) Most Innovative Award, Crimson Startup Academy (student award) Dr. Jeong has successfully advised numerous graduate and undergraduate students, many of whom have gone on to win prestigious awards and publish high-impact research. He has secured significant external funding, including a $3 million federal grant for autonomous bus safety systems, demonstrating strong grant-writing capabilities and leadership in large-scale research initiatives. His work bridges industry and academia, leveraging over eleven years of industrial experience at Samsung, BlackBerry, and Qualcomm. The Intelligent Sensor and Wireless System Lab (ISWS) is a vibrant research group under Dr. Jeong’s leadership, actively engaged in projects involving AI-driven sensor networks, wireless power, V2X communication, and biomedical electronics. The lab fosters innovation through hands-on research and collaboration, welcoming motivated students at all levels.

• Internet of Things
• Assisted Living Environments
• Smart Sensors
• +12 more

Mariana Catela Jacob Rodrigues is an Assistant Professor at Iscte – University Institute of Lisbon, affiliated with the Department of Applied Digital Technologies and the Institute of Telecommunications - IUL, where she conducts research in the Instrumentation and Measurements Group. She holds a PhD in Information Technologies and Systems from ISCTE, completed in 2024, following a Master’s and Bachelor’s in Telecommunications and Computer Engineering at the same institution. Her research interests include: Internet of Things (IoT) Ambient Assisted Living (AAL) Smart Sensors and Wearable Technologies Cardiorespiratory and Environmental Monitoring Artificial Intelligence in Healthcare Virtual Reality for Rehabilitation Her scientific work focuses on developing intelligent, sensor-driven systems for health and environmental monitoring, particularly in indoor and elderly care settings. She utilizes wireless sensor networks, wearable platforms, and physiological signal analysis (e.g., HRV) to assess autonomic nervous system responses under various stimuli such as music, lighting, and environmental conditions. Her recent publications highlight trends in non-invasive monitoring, fall detection, precision agriculture, and stress assessment using innovative IoT and VR-based tools. Her scientific contributions have been recognized with several awards, including: Best Student Paper Award at IEEE MeMeA 2022 Best Student Paper Award at ISSI 2019 ISTA Top Talent 2018–2019 (awarded in 2020) Mariana Rodrigues actively mentors and collaborates on research projects, frequently co-authoring with senior researchers such as Octavian Postolache and Francisco Cercas. She has served as a member and chair in organizing committees for multiple IEEE-sponsored summer schools and symposia on sensing and IoT, including the Smart Systems for Ambient Assisted Living series and the International Symposium on Sensing and Instrumentation. She is also involved in grant-funded projects related to smart healthcare and environmental monitoring, though specific grants are not detailed in the provided text. She leads key IEEE initiatives at ISCTE, including: Chair of IEEE Women in Engineering (WIE) Affinity Group Chair of IEEE Instrumentation and Measurement Society Chapter