Find Academic Supervisors

• Chemical Biology
• Medicinal Chemistry
• Molecular Probes
• +3 more

Lanrong Bi is an Associate Professor of Chemistry and Affiliated Associate Professor of Biological Sciences at Michigan Technological University's College of Sciences and Arts. Her research focuses on developing novel molecular probes for DNA sequencing and disease gene discovery in chemical biology, along with therapeutically relevant imaging agents for cancer and cardiovascular disease in medicinal chemistry. Dr. Bi's research interests bridge chemical biology and medicinal chemistry, emphasizing molecular probe development for DNA analysis and therapeutic applications. Her work includes designing novel prodrugs of peptides and synthesizing innovative imaging agents targeting cancer and cardiovascular pathologies. Her recent publications explore neurovascular interactions, mitochondrial imaging technologies, and DNA sequencing innovations. Research trends demonstrate strong cross-disciplinary integration of molecular biology techniques with neurocardiology applications, particularly in stress-related pathologies and advanced imaging methodologies. Dr. Bi mentors graduate students in her laboratory focused on molecular probe development and therapeutic applications. Her research has contributed to advances in mitochondrial imaging and exosome engineering for targeted drug delivery.

Jocelyn MonroeView profile

Professor

• Dark Matter Detection
• Particle Physics
• Neutrino Physics
• +3 more

Jocelyn Monroe is a Professor in the Department of Physics at Royal Holloway, University of London. She serves as the Deputy Spokesperson of the DEAP-3600 and DarkSide-20k international collaborations and the UK Principal Investigator. Her research focuses on dark matter detection, neutrino physics, and advanced detector technology development. She is a member of SNOLAB and WIPP research networks. Education Background: B.A. in Astrophysics, Columbia University (1999) Ph.D. in Physics, Columbia University (2006), Dissertation: MiniBooNE accelerator neutrino oscillation experiment Research Interests: Jocelyn's work centers on direct dark matter detection using cutting-edge experiments like DEAP-3600 and DarkSide-20k. She develops novel particle detectors, including the DMTPC and HPTPC projects, to study dark matter wind and neutrino interactions. Her research also involves superfluid helium-3 bolometers and low-background detector technology. Recent Research Trends: Her recent publications explore advancements in dark matter detection methodologies, including attenuation effects in interactions and superfluid helium-3 bolometer technology. She also contributed to environmental applications like low-cost lead detection in water, showcasing interdisciplinary approaches. Earlier work includes gamma spectroscopy techniques for isotope identification. Grants and Supervision: Co-Investigator on multiple grants, including STFC projects for particle physics research and EPSRC funding for quantum-enhanced superfluid technologies. Mentor for postdoctoral researchers, such as the EPSRC-funded "Dark Matter Searches using Quantum Enhanced Superfluid Technologies" project with Dr. E. Leason. Labs and Collaborations: She leads the Dark Matter & Neutrino research group at Royal Holloway, collaborating with international teams on major experiments. Her group applies detector innovations to neutrino imaging and dark matter studies.

Christian BrücknerView profile

Professor

• Porphyrin Chemistry
• Organic Synthesis
• Photochemistry
• +4 more

Christian Brückner is a Professor in the Department of Chemistry at the University of Connecticut's College of Liberal Arts and Sciences. He holds a Dipl. Chem. from the University of Technology Aachen (Germany), a Ph.D. from the University of British Columbia (Canada), and completed postdoctoral training at the University of California, Berkeley (USA). His research focuses on developing synthetic strategies for porphyrinoids and their applications in photochemical systems, biomedical technologies, and materials science. Education: Postdoctoral Research: University of California, Berkeley (1996–1998) Ph.D.: University of British Columbia, Canada Dipl. Chem.: University of Technology Aachen, Germany His research interests include modifying porphyrins to study their reactivity, conformational flexibility, and photochemical properties. These compounds are used as models for natural photosynthetic systems and applied in photodynamic therapy, fluorescence labeling, and environmental sensing. Brückner has pioneered methods for synthesizing porphyrinoids with non-pyrrolic heterocycles, enabling novel applications in diagnostics and materials science. Recent work includes stimuli-responsive polymers, solid-state ion-selective sensors for wastewater monitoring, and mechanistic studies of porphyrinoid reactivity under mechanochemical conditions. His lab also explores the educational aspects of intercultural competence for teaching assistants in chemistry. Brückner's research has been published in over 100 peer-reviewed articles, with a focus on organic synthesis, photochemistry, and material applications. His group operates from the University of Connecticut's Storrs Campus, and further details are available at his research page .

Jian LiView profile

Professor

• Structural Health Monitoring
• Wireless Smart Sensor Networks
• System Identification and Model Updating
• +2 more

Jian Li serves as Professor and Dean R. and Florence W. Frisbie Associate Chair of Graduate Studies in the Department of Civil, Environmental and Architectural Engineering (CEAE) at the University of Kansas School of Engineering. He joined KU in 2013 after completing his doctoral studies and has established himself as a leading researcher in structural engineering and infrastructure monitoring. Education: Ph.D. in Civil Engineering, University of Illinois at Urbana-Champaign, 2013 M.S. in Civil Engineering, Harbin Institute of Technology Shenzhen Graduate School, China, 2007 B.S. in Civil Engineering, Harbin Institute of Technology, China, 2005 Professor Li's research centers on Structural Health Monitoring, Wireless Smart Sensor Networks, System Identification, and Earthquake Impact Mitigation. His work integrates cutting-edge technologies like augmented reality, computer vision, and wireless sensor networks to enhance infrastructure safety. Key innovations include sensing skin technology for fatigue crack monitoring, constrained-layer dampers for vibration control, and seismic isolation systems for bridges. Analysis of his 2023-2025 publications reveals strong emphasis on computer vision for automated crack detection, wireless sensor networks for long-term bridge monitoring, and novel damping systems for seismic/wind resilience. His research bridges civil engineering with computer science through immersive learning tools and human-centered inspection methodologies. Scientific Awards: Fellow of the American Society of Civil Engineers (ASCE) As Associate Chair of Graduate Studies, Professor Li oversees CEAE's graduate programs including MS, MCE, MCM, and PhD degrees. His research is supported by multiple grants focusing on structural health monitoring, fatigue crack detection, and seismic resilience. He leads a dedicated research group developing field-deployable sensor systems and validation methodologies. Laboratory work centers on wireless skin sensor networks, computer vision inspection systems, and full-scale testing of structural components. Current projects include field validation of sensing skin on steel bridges, galvanizing process effects on steel structures, and distortion-induced fatigue crack characterization.

Adam ZweifachView profile

Professor

• Immunology
• Cell Biology
• Signal Transduction
• +3 more

Adam Zweifach is a Professor in the Department of Molecular and Cell Biology at the University of Connecticut, specializing in Cell and Developmental Biology. His primary affiliation is with the College of Liberal Arts and Sciences. He holds a Ph.D. from Yale University and completed postdoctoral training at Stanford University. Zweifach’s research focuses on T lymphocyte function, particularly signal transduction mechanisms and the role of calcium signaling in cytotoxic T cell lytic granule exocytosis. His work integrates immunology, cell biology, and pharmacology to explore therapeutic strategies for cancer and immune-related disorders. Recent publications highlight his contributions to immunomodulatory drug discovery, high-throughput screening methodologies, and the development of genetically encoded sensors for cellular processes. His lab employs advanced techniques such as FRET-based assays and compound ensemble strategies to validate drug targets and identify novel therapeutic candidates. Zweifach’s articles emphasize the interplay between calcium signaling pathways and T cell effector functions, with notable work on the mechanisms of cytotoxic T lymphocyte exocytosis. He has also addressed statistical rigor in experimental design, advocating for best practices in data analysis. While no specific awards are listed, his extensive publication record reflects sustained contributions to immunology and drug discovery. His research has practical implications for developing targeted therapies and improving screening protocols in biomedical research.

Suzanne LittleView profile

Professor

• Computer Vision
• Media Analytics
• Machine Learning
• +2 more

Professor Suzanne Little is a Full Professor at Dublin City University's School of Computing and SFI Principal Investigator at the Insight Centre for Data Analytics. She holds a PhD from the University of Queensland and leads research in media analytics, computer vision, and machine learning. Her work develops methods for analyzing multimedia content including video analysis for surveillance, sports analytics, transportation, and medical imaging. Research focuses on: Content-based multimedia indexing and retrieval Computer vision for object/event detection in video Bias analysis in deep learning models Edge computing for video analytics Optimization of neural network architectures Her recent publications address bias mitigation in AI systems, efficient object detection methods, and novel applications of event cameras. Professor Little co-directs the SFI Centre for Research Training in Artificial Intelligence and contributes to the iForm Advanced Manufacturing Centre. She has led multiple EU projects in multimedia and big data, including the Smart Stadium IoT initiative with Croke Park. Her work has been featured in media outlets including RTE, Silicon Republic, and The Irish Times.

Madhu KannanView profile

Assistant Professor

• Neuroscience
• Neurobiology
• Cellular Neuroscience
• +3 more

Madhu Kannan, PhD, is an Assistant Professor in the Department of Orthopedic Surgery at the University of Minnesota. Their research focuses on neuroscience, neurobiology, and neurotechnology, with a particular emphasis on dopamine signaling, neuronal dynamics, and advanced imaging techniques. Key areas of investigation include the interplay between dopamine and memory systems, voltage imaging in behaving mammals, and the development of novel genetic tools for studying neuronal activity. Research interests span cellular neuroscience, neurophysiology, and neurotechnology, with contributions to understanding axon growth mechanisms, ubiquitin ligase pathways in neuronal survival, and the impact of environmental factors on neural development. Dr. Kannan’s work bridges molecular biology, biophysics, and behavioral studies, aiming to uncover fundamental mechanisms underlying neural function and disease. Publications highlight advancements in voltage-sensitive indicators, dual-polarity imaging systems, and insights into neurodegenerative processes. The research trajectory demonstrates a strong focus on translational neurobiology, combining cutting-edge imaging technologies with molecular and genetic approaches. No scientific awards or grants are listed in the provided information. No advisees or students are explicitly mentioned in the text.

• Materials Science
• Nanotechnology
• Superconductivity
• +5 more

Antonio Cassinese is a Full Professor at the CNR Institute for Superconductors, Innovative Materials and Devices (SPIN), affiliated with the Department of Physical Sciences and Technologies of Matter. His research focuses on advanced materials science, superconductivity, organic electronics, photonics, and biosensors. Key areas include the development of hybrid nanocomposites, 2D materials for electrocatalysis, superconducting single-photon detectors, and organic electrochemical transistors for biosensing applications. Publications since 2022 highlight contributions to memristive systems, superconducting microstrip detectors, and optoelectronic devices. His work spans interdisciplinary topics such as nanotechnology, energy materials, and environmental remediation through photocatalysis. The research emphasizes both fundamental material characterization and applied device engineering. Dr. Cassinese collaborates extensively within SPIN, contributing to cutting-edge projects in quantum sensing, optoelectronics, and bioelectronics. His team explores novel material interfaces and fabrication techniques, with applications ranging from medical diagnostics to energy conversion systems.

Kelly HuangView profile

Assistant Professor

• Environmental Fluid Mechanics
• Turbulence
• Sensing Techniques
• +3 more

Dr. Kelly Huang is the Kalsi Assistant Professor of Mechanical & Aerospace Engineering at the University of Houston. She holds affiliations with the College of Engineering and the Department of Mechanical and Aerospace Engineering. Her research focuses on environmental fluid mechanics, turbulence, sensing techniques, and boundary-layer meteorology, with current projects exploring wind-wave-vegetation interactions and high-resolution sensor development. Education includes a Ph.D. and M.A. from Princeton University and a B.S. from Cornell University. She has held a postdoctoral position at the University of Notre Dame and maintains professional memberships in the American Physical Society and American Geophysical Union. Her teaching includes courses like Thermodynamics and Environmental Fluid Dynamics. Key research interests revolve around fog dynamics, turbulence modeling, and atmospheric boundary layer processes. Her recent work has advanced understanding of coastal fog genesis mechanisms and fog intermittency through field campaigns like FATIMA. Huang's team develops novel sensors such as the Super Combo Probe for high-resolution atmospheric measurements. Awards: NREL FACES Awardee (2024), Excellence in Teaching (2020), NDSEG Fellowship (2017) Grants/Advising: Leads lab projects on fog-statistics modeling and wind-vegetation interactions; advises through experimental fluid dynamics coursework. Her lab focuses on advancing environmental fluid dynamics through interdisciplinary approaches combining field experiments, novel instrumentation, and theoretical modeling.

• Materials Engineering
• Electrical and Electronic Engineering
• Condensed Matter Physics
• +5 more

Dr. Peter Petrov is a Principal Research Scientist at Imperial College London's Department of Materials (Faculty of Engineering), serving as the Royce Technology Platform Lead for Diverse Thin Film Device Materials and Director of the Thin Film Device Manufacture facility. His expertise spans functional oxide thin films, microwave tunable devices, and energy harvesting technologies. He holds degrees from St. Petersburg State Electrotechnical University and Chalmers University of Technology. Petrov leads EPSRC/EU-funded projects focused on nano-scale thin films for solar energy and plasmonic devices. His research group has pioneered innovations like tunable thin film resonators and antimicrobial plasmonic materials. Education: PhD (Technical Sciences) and MSc (Physics and Engineering), St. Petersburg State Electrotechnical University Affiliations: Institute for Molecular Science and Engineering, Nanoscience and Nanotechnology Group Roles: Health & Safety Officer (Department of Materials), Laser Safety Advisor, Editorial Board Member of Scientific Reports Research interests include functional oxides, plasmonics, energy materials, and biomedical nanotechnology . Notable achievements include developing the first tunable thin film BAW resonators, demonstrating room-temperature negative capacitance in ferroelectric multilayers, and creating plasmonic biosensors for rapid disease detection. Collaborations with King's College Hospital led to novel bone resorption analysis methods. Publications focus on plasmonic materials, thin film fabrication, and energy conversion , with a 2023-2025 emphasis on thermoelectric converters, graphene-based devices, and nanostructured sensors. His work bridges fundamental physics with industrial applications, addressing challenges in renewable energy, medical diagnostics, and nanomanufacturing. Awards: 2024 Henry Royce Institute Innovation Award Grants/Projects: EPSRC/EU grants, Royce Institute collaborations, and industrial partnerships with Ericsson AB and Murata Manufacturing Labs/Teams: Leads Imperial's Thin Film Device Manufacture facility, managing a lab with 2 PDRAs and 5 graduate students. Active in the Royal School of Mines nanotechnology cluster.

Siddhant MidhaView profile

Researcher

• Quantum Physics
• Condensed Matter Physics
• Quantum Transport
• +4 more

Siddhant Midha is a researcher at Princeton University, contributing to cutting-edge research in quantum systems and nanoelectronics. His work integrates theoretical and experimental approaches to advance understanding of superconductivity, topological phases, and quantum transport phenomena. He leads a team overseeing graduate students and postdoctoral researchers, focusing on experimental and computational studies of quantum phenomena. Research topics include Cooper pair splitters, quantum metrology, and hybrid nanowire systems. His recent publications emphasize applications in quantum sensors and topological electronics. Midha's research explores the interface between quantum materials and device applications, with a focus on stabilizing quantum coherence and optimizing measurement techniques. His team develops novel methods for current-density reconstruction using quantum diamond magnetometry and investigates the role of symmetry in topological phases. No scientific awards are explicitly listed in the provided text. His lab's work contributes to foundational knowledge for quantum computing hardware and nanoscale device engineering.

Koos (Cornelis) ZevenhovenView profile

Researcher

• MRI Scanner Technology
• Intelligent Dynamics
• Ultra-Low-Field MRI
• +3 more

Koos Zevenhoven is a doctoral researcher at Aalto University's School of Science, Department of Neuroscience and Biomedical Engineering. He leads a research group focused on innovative MRI technologies, particularly ultra-low-field MRI and hybrid MEG-MRI systems. His work emphasizes portable, cost-effective medical imaging solutions and 'intelligent dynamics' techniques to solve hardware challenges. Zevenhoven's research spans MRI hardware development, signal processing, and clinical applications in neuroimaging. He has collaborated internationally, including with UC Berkeley, and has over 30 publications. His thesis, defended in 2023, addresses unconventional MRI scanner design and dynamic pulse-waveform coupling. Education: Engineering Physics and Mathematics (Aalto University) Leadership: Research group leader for 10 years during his PhD Key Projects: First prototypes of combination brain scanners for epilepsy treatment planning Patents: Dynamical pulse-waveform coupling (DynaCAN) techniques Research interests include magnetic noise reduction, sensor design, and biomedical instrumentation. His work bridges theoretical physics and practical medical applications, aiming to improve diagnostic tools' accessibility and accuracy.

Ingrid UllmannView profile

Researcher

• Radar imaging
• Radar signal processing
• Ultrasound imaging
• +8 more

Ingrid Ullmann is a Researcher and Research Group Leader (Wave-Based Sensing Techniques) at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She holds a Dr.-Ing. (PhD) from FAU, awarded in 2021 for her thesis on 'Novel Concepts for Radar Imaging in Heterogeneous Media'. Her academic journey includes a 2016 M.Sc. in Electrical Engineering from the same institution. Her research focuses on radar imaging (millimeter-waves, terahertz), ultrasound imaging, non-destructive testing, and biomedical engineering applications. She leads two laboratories: the Radar Imaging Laboratory and the Medical Imaging Laboratory, advancing innovations in security screening, medical diagnostics, and automotive radar systems. Her work integrates machine learning with radar techniques to enhance imaging resolution and analysis efficiency. Ullmann’s publications (over 50 entries from 2017–2025) emphasize radar-based human motion tracking, material reconstruction, and UAV applications for environmental monitoring. Key trends include: 1) fusion of radar and ultrasound for enhanced visibility, 2) machine learning-driven signal processing in biomedical contexts, and 3) development of compact radar systems for space debris tracking and historical document analysis. She actively supervises student theses in radar imaging, medical engineering, and security systems. While no explicit awards are listed, her contributions to IEEE journals and conference proceedings highlight her technical leadership. Collaborations with Erlangen University Hospital and industry partners (e.g., Siemens) underscore her interdisciplinary reach.

Bernard ChoiView profile

Professor

• In vivo research
• Optical imaging
• Microvasculature
• +6 more

Bernard Choi, Ph.D., is a Professor at the University of California, Irvine (UCI), holding dual appointments in the Department of Biomedical Engineering (Samueli School of Engineering) and the Department of Surgery (School of Medicine). His laboratory, the Microvascular Therapeutics & Imaging Laboratory (MTI Lab) at the Beckman Laser Institute, focuses on developing optical imaging technologies to study microvascular systems in health and disease. Key research areas include in vivo monitoring of microvascular responses to therapies, real-time blood flow imaging, and instrumentation development for clinical applications such as neurosurgery and dermatology. Dr. Choi’s work emphasizes interdisciplinary collaboration, training the next generation of biomedical engineers and clinicians. Recent projects include studying cerebral microhemorrhages in Alzheimer’s disease models, hypertension-induced vascular injury, and integrating EEG with hemodynamic imaging for cardiac arrest prognosis. His lab has developed novel devices like handheld blood-flow imagers and protocols for quantitative vascular analysis. Collaborations span preclinical models and clinical trials, with a focus on translational research. Notable contributions include advancements in laser speckle contrast imaging, 3D vascular mapping, and optical clearing techniques. The MTI Lab actively engages undergraduate, graduate, and medical students in research, as evidenced by recent student awards and presentations. Dr. Choi’s team also publishes extensively in journals like Neurophotonics and Medical Imaging, focusing on both technical innovations and clinical applications. His research is supported by grants from the NIH, NSF, and industry partnerships. The lab maintains strong ties with clinical departments at UCI, enabling rapid translation of imaging technologies into clinical practice. Future work includes expanding applications of real-time imaging for precision medicine and developing AI-driven analysis tools for large-scale vascular datasets.

Mei-Hua LeeView profile

Associate Professor

• Motor Development
• Motor Learning
• Infant and Early Childhood Development
• +5 more

Mei-Hua Lee is an Associate Professor in the Department of Kinesiology at Michigan State University. She holds a Ph.D. from The Pennsylvania State University and leads the Motor Development and Learning Lab (SDLab). Her work focuses on motor development across the lifespan, particularly how infants and young children learn to interact with their environment through reaching and grasping behaviors. She integrates kinematic analysis, biofeedback, and qualitative methods to study motor skill acquisition and its implications for motor learning and rehabilitation theories. Her research explores the transition from spontaneous movements to goal-directed actions in infancy, leveraging advanced technologies like wearable sensors and machine learning for activity classification. She has pioneered body-machine interface systems to enable assistive device control for individuals with severe motor impairments. Lee’s studies also address methodological challenges in motor learning research, including missing data practices and the design of rigorous experimental protocols. Key collaborations involve interdisciplinary teams from engineering, neuroscience, and pediatrics. Her lab actively develops novel tools for early detection of developmental disorders through movement analysis and promotes translational research in neurorehabilitation technologies.