Patrik Ščajev is a Senior Researcher at the Institute of Photonics and Nanotechnology , Vilnius University. His work focuses on semiconductor characterization using advanced optical techniques like pump-probe spectroscopy, photoconductivity, and photoluminescence. Key research areas include: Germanium-tin compounds for infrared applications Perovskite semiconductors for photovoltaic and optoelectronic devices Laser material processing and optical fiber characterization He has led multiple EU-funded projects such as: STRAPER : Spectrally and Temporally Resolved Absorption and Photoluminescence Electro-optic Recorder GeSen : GeSn-based photodetector development Ščajev has supervised 1 PhD student and 3 master's/bachelor's theses. His recent publications emphasize: Carrier dynamics in novel semiconductors Optical parametric generation systems Advanced laser processing techniques
Xiaoping JIA is a Professor at Gustave Eiffel University , affiliated with the Langevin Institute . His work bridges acoustics , granular physics , and geophysics , with a focus on understanding wave propagation, frictional dynamics, and seismic triggering mechanisms in complex media. PhD in Physical Acoustics from Pierre and Marie Curie University (Paris 6) B.Sc. in Physics from Nanjing University His research explores: Multi-scale granular acoustics : Investigating how ultrasound interacts with granular materials to induce flow and measure internal states Nonlinear wave behavior : Time-reversal focusing, velocity weakening/strengthening, and scattering in heterogeneous media Dynamic triggering mechanisms : Linking seismic waves to landslides, slope instabilities, and frictional failure Key article trends include: Developing ultrasonic monitoring for granular compaction and damage Modeling acoustic lubrication at grain contacts Characterizing stick-slip dynamics with high-resolution acoustic emission analysis Simulating two-time scale granular flow under vibro-acoustic stress Publications span geophysical journals (PNAS, JGR, GRL) and physics/soft matter outlets (Phys. Rev. E, Soft Matter, Europhys. Lett.), emphasizing ultrasound as a tool for probing granular rheology and failure precursors.
Oliver Kröcher is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences (SB) , specifically in the Institute of Chemical Sciences and Engineering (ISIC) and the SCGC-ENS group. His research focuses on heterogeneous catalysis for environmental and energy applications, including emission control, NOx and N2O abatement, methane oxidation, and CO2 utilization. He also contributes to educational initiatives, such as Catalysis for emission control and energy processes .
Fred Terry is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan, specializing in semiconductor physics and advanced optical systems. His research leverages high-power supercontinuum lasers for applications in standoff detection, material characterization, and spectroscopy. His research focuses on infrared spectroscopy, supercontinuum laser development, semiconductor material analysis, and non-destructive testing methodologies. Key areas include trace particle detection, thin-film optical properties, and food safety monitoring using photonic technologies. Terry's publications demonstrate consistent innovation in supercontinuum laser applications, with recent work extending into long-wave infrared spectroscopy and standoff chemical detection. His research bridges photonics, materials science, and analytical chemistry. No awards, students, or lab affiliations were mentioned in available sources.
Gregory M. Palmer is an Associate Professor in the Department of Radiation Oncology at Duke University Medical Center and a member of the Duke Cancer Institute. His research focuses on developing optical imaging techniques to study cancer progression and therapeutic response, with emphasis on diffuse reflectance and fluorescence spectroscopy for tissue characterization during radiation therapy. Education: B.S. in Biomedical Engineering, Marquette University, 2000 Ph.D. in Biomedical Engineering, University of Wisconsin, Madison, 2005 Dr. Palmer's research program centers on quantitative optical imaging methodologies to characterize tumor functional and molecular responses to radiation and chemotherapy. He pioneered model-based approaches for extracting absorber and scatterer properties from tissue measurements and has advanced intravital microscopy techniques to monitor therapy-induced changes in tumor metabolism, hypoxia, and vascular function. His engineering-driven oncology work bridges fundamental biophysics with clinical translation for improved cancer treatment monitoring. Analysis of his recent publications reveals dominant themes in radiation oncology and cancer biology, with strong emphasis on tumor hypoxia imaging, metabolic reprogramming during therapy, and novel combination approaches involving spatially fractionated radiation with immunotherapy. His work increasingly incorporates nanotechnology platforms and computational modeling to address metastasis mechanisms in inflammatory breast cancer and optimize therapeutic combinations. Awards: Jack Fowler Award from the Radiation Research Society Dr. Palmer directs substantial grant funding from NIH (NIBIB, NHLBI), DoD, American Cancer Society, and industry partners including SonoVol and Midatech Pharma. Current projects span metabolic imaging of tissue heterogeneity (2019-2028), preventing inflammatory breast cancer metastases through stress signaling interruption (DoD 2020-2025), plasmonic nanoparticle immunotherapies (NIH 2022-2024), and developing small animal radiation systems (NC Biotech 2022-2023). He teaches Medical Physics courses including Advanced Radiation Biology and Independent Study. The Palmer Lab (https://radonc.duke.edu/research-education/research-labs/radiation-and-cancer-biology/palmer-lab) operates within Duke's Radiation and Cancer Biology program, utilizing advanced optical imaging platforms to investigate tumor microenvironment responses to therapy. The lab maintains strong collaborations across the Duke Cancer Institute for translating preclinical findings into clinical applications, particularly in breast cancer and radiation response biomarkers.
Dr. Mads Bergholt is a Reader in Biophotonics at the Faculty of Dentistry, Oral & Craniofacial Sciences , King's College London , with a focus on label-free bioimaging technologies. He leads the Bergholt Lab , a multidisciplinary team at the Centre for Craniofacial & Regenerative Biology , integrating advanced optical imaging, spectroscopy, and artificial intelligence to address challenges in cancer, osteoarthritis, and regenerative medicine. Research Interests Biomedical Optics and Light-Tissue Interaction Label-free Bioimaging and Raman Spectroscopy Advanced Endoscopy and Multimodal Imaging Artificial Intelligence in Biophotonics Regenerative Biomaterials and Tissue Engineering Article Trends span label-free molecular imaging, AI-driven diagnostics, and clinical biophotonics, with applications in cancer diagnostics , osteoarthritis , and bioenergetic materials . Techniques include Raman spectroscopy , hyperspectral imaging , and optical coherence tomography . Scientific Awards & Funding H2020 ERC Starting Grant (2019-2024) NC3Rs Crack-it Challenge (2020-2023) NVIDIA GPU Academic Award (2019) King’s Together EPSRC Capital Equipment Award (2019) King’s Prize Fellowship (2018-2020) Education includes an MSc in Engineering Physics from the University of Southern Denmark and a PhD in Biomedical Engineering from the National University of Singapore , followed by a Marie Curie Fellowship at Imperial College London .
Kenneth Paul Allen, DVM serves as Assistant Provost, Director, and Professor at the Medical College of Wisconsin within the Research Office's Biomedical Resource Center. His multifaceted role combines academic leadership with active research across veterinary medicine and biomedical engineering disciplines. Dr. Allen's research spans Veterinary Medicine , Biomedical Engineering , and Comparative Ophthalmology , with particular focus on animal models relevant to human disease. His work bridges laboratory animal science with clinical applications, examining photoreceptor structure in cone-dominant species (tree shrews, ground squirrels, pigs), vascular graft development, and liver tissue monitoring techniques. He has made significant contributions to understanding animal husbandry practices, including rodent breeding parameters and cage sanitation standards. Analysis of his publication record reveals three primary research trajectories: (1) ocular imaging and photoreceptor research using specialized animal models; (2) biomedical engineering applications including vascular grafts and tissue spectroscopy; and (3) laboratory animal science with emphasis on housing standards and breeding protocols. His work consistently employs comparative approaches, leveraging species-specific physiological characteristics to address human medical challenges. As Assistant Provost and Director, Dr. Allen oversees institutional research resources while maintaining an active laboratory program. His leadership extends to developing facility standards for animal research environments, as evidenced by publications on cage sanitation, footwear disinfection, and construction impacts on animal facilities. Though specific grant information isn't detailed in available publications, his extensive collaborative work suggests significant extramural funding support across multiple NIH institutes.
Urszula Chodorow serves as an Assistant Professor at the Faculty of Advanced Technologies and Chemistry within Poland's Military University of Technology (Wojskowa Akademia Techniczna) in Warsaw. Her academic profile confirms active status with an institutional email (urszula.chodorow@wat.edu.pl) and physical office location (Building 100, Room 95). With a doctoral degree earned in 2015, she maintains a robust research program centered on advanced optical materials. Her research portfolio demonstrates deep expertise in: Liquid crystal physics and composite materials Terahertz (THz) wave modulation and device engineering Infrared optical systems and modulators Thin film characterization and fabrication Metamaterials for tunable optical applications Spectroscopic analysis across electromagnetic spectra Analysis of her 23 publications reveals an evolutionary research trajectory from fundamental liquid crystal properties (2012-2015) toward sophisticated device engineering (2017-2024). Recent work prominently features hyperbolic metamaterials, plasmonic color structures, and femtosecond laser modification techniques, indicating a strategic expansion into nanophotonics and advanced numerical modeling. Her publications consistently target high-impact applications including anti-counterfeiting, medical sensing, and infrared detection systems. Dr. Chodorow has secured three research projects and achieved notable bibliometric recognition with an h-index of 10 (Scopus) and 9 (Web of Science), totaling 30.342 impact factor points and 930 in Poland's ministerial scoring system. While specific award details remain undisclosed, her work demonstrates significant scholarly impact through 52.38 total CiteScore and 15.654 SNIP metrics. Her technical leadership spans optical device fabrication, terahertz spectroscopy, and numerical modeling. Current research directions indicate continued focus on tunable optical components for security and sensing applications, particularly in the terahertz domain where she has established internationally recognized expertise.
Professor Jennifer Sorensen Forbey is a faculty member in the Department of Biological Sciences within Boise State University's College of Arts and Sciences, where she has served since 2008. Her research bridges ecological and pharmacological disciplines through two major initiatives: the $6 million NSF-funded Genomes Underlying Toxin Tolerance (GUTT) project and the Pharm-Ecology program. Her research focuses on plant-herbivore interactions , specifically how animals process environmental toxins through three integrated approaches: 1) Monitoring molecular mechanisms of toxin tolerance using chemistry and genomics; 2) Quantifying physiological mechanisms through in vivo and in vitro methods; 3) Predicting demographic consequences of toxin exposure. This work has direct applications for wildlife conservation, livestock management, and drug discovery. The GUTT project represents a major collaborative effort involving researchers across Idaho, Nevada, and Wyoming, with workforce development components for early-career scientists. Her Pharm-Ecology research leverages ecological insights to discover bioactive compounds for medical applications, including collaborations with international institutions in Iceland and Sweden. NSF-OIA-182680 (PI), $2.586M of $6M award (2018-22) NSF-OIA-1757324 (Co-PI), $5.27M of $20M award (2018-23) BLM/US Department of Interior awards totaling $58,715 (2017-21) NIH-INBRE mentoring funds ($764,000 to College of Idaho) Professor Forbey actively mentors students through Course-Based Undergraduate Research Experiences (CUREs) and IdahoWatch, a STEM service-learning program where graduate students train K-12 teachers in field research. Her lab maintains strong connections with wildlife management agencies and international research institutions, providing students with diverse professional development opportunities in both academic and applied settings.
Yuzhen Lu is an Assistant Professor in the Department of Biosystems & Agricultural Engineering at Michigan State University (MSU), with a joint appointment between the College of Agriculture & Natural Resources and College of Engineering. Before joining MSU in January 2023, he was an Assistant Professor at Mississippi State University (2020-2022) and a Postdoc Research Scholar with USDA-ARS and North Carolina State University. Dr. Lu earned his Ph.D. in Biosystems Engineering from Michigan State University in 2018. His academic journey reflects a strong foundation in engineering applications for agricultural systems, with a focus on bridging technological innovation with practical farming needs. Dr. Lu's research focuses on developing and deploying sensing and automation/robotics technologies for smart agriculture and food systems. His expertise spans optical instrumentation, machine/computer vision, image analysis, and applied machine learning. His work addresses critical challenges across the agricultural value chain, from in-field applications to postharvest processing, with particular emphasis on specialty crop production. His research integrates engineering principles with agricultural science to create practical solutions for real-world farming challenges. Analysis of Dr. Lu's recent publications reveals a strong trajectory in agricultural technology development, with emphasis on machine vision systems for quality assessment, precision agriculture applications, and robotics for agricultural tasks. His work shows increasing integration of advanced AI techniques with traditional engineering approaches to solve practical agricultural problems, particularly in specialty crop production, livestock monitoring, and food processing. Recognized among the World Top 2% Scientists based on Standford and Elsevier Data in 2025 Dr. Lu actively mentors a diverse team of graduate students, postdocs, and undergraduate researchers. His research is supported by multiple competitive grants from USDA-NIFA, MSU AgBioResearch, MDARD, and other funding agencies, totaling over $2 million in active funding. His projects range from developing vision-guided robotic systems for selective harvesting to non-destructive sensing technologies for food quality assessment, demonstrating both academic rigor and practical applicability. Dr. Lu leads a dynamic research laboratory focused on non-destructive sensing (machine vision, optical imaging, and spectroscopy) and automation/robotics technologies for addressing practical needs in agricultural systems. His team collaborates with industry partners, government agencies, and academic institutions to develop and transfer engineering solutions for smart and sustainable agriculture & food systems, with particular emphasis on specialty crop industries where labor shortages and quality demands create significant challenges.
Brian Schmit, PhD is a Professor and Hammes Family Endowed Chair in the Department of Biomedical Engineering at Marquette University, with a joint appointment at Medical College of Wisconsin. He serves as Associate Dean for Research in the OPUS College of Engineering and is an active researcher in neurological rehabilitation. Dr. Schmit's research focuses on neurophysiology of movement control following neurological injury, particularly spinal cord injury and stroke. His work encompasses biomechanics of gait and balance, diffusion tensor imaging applications in spinal cord disorders, and development of novel rehabilitation interventions including virtual reality and electrical stimulation approaches. With over 200 publications, his research has significantly contributed to understanding motor control mechanisms and developing evidence-based rehabilitation strategies. Analysis of his recent publications (2023-2025) reveals continued focus on advanced neuroimaging techniques, particularly diffusion MRI applications in spinal cord injury and stroke. His work increasingly integrates virtual reality approaches with traditional rehabilitation methods, and explores the relationship between cerebral oxygenation, hemodialysis, and cognitive function. His research maintains strong clinical relevance while applying sophisticated engineering principles to complex neurological problems. Outstanding Researcher Award, Marquette University College of Engineering (2005, 2017) Way-Klingler Science Fellowship (2008) College of Fellows, American Institute for Medical and Biological Engineering (2018) Outstanding Graduate Educator, Medical College of Wisconsin (2019) Hammes Family Endowed Chair in Biomedical Engineering (2020) Dr. Schmit currently leads or collaborates on multiple NIH-funded projects totaling several million dollars, focusing on locomotor recovery post-stroke, advanced MRI of spinal cord injury, and ischemic conditioning approaches to improve motor function. His research group includes collaborators from multiple institutions and disciplines, reflecting the interdisciplinary nature of his work. As Associate Dean for Research, he also plays a key role in shaping the research direction of Marquette's engineering college while maintaining an active laboratory focused on neurological rehabilitation.
Bing Yu, Ph.D. is an Assistant Professor of Biomedical Engineering at Marquette University with significant affiliations at the Medical College of Wisconsin where he is a member of the Cancer Center. His research bridges engineering innovation and clinical medicine to develop practical optical technologies for cancer detection and patient monitoring. Dr. Yu's research focuses on: Development of portable diffuse reflectance spectroscopy systems for cervical cancer detection Deep ultraviolet fluorescence imaging for breast tumor margin assessment Machine learning approaches for medical image analysis Optical monitoring systems for endotracheal tube placement Visible diffuse reflectance spectroscopy for tissue oxygenation monitoring His recent publications (2020-2025) demonstrate a strong focus on translating optical imaging technologies into clinical practice, with increasing integration of artificial intelligence to improve diagnostic accuracy. His work on endotracheal tube monitoring has resulted in the development of dual-camera systems with high precision (mean discrepancy less than 0.5 mm), while his breast cancer research has produced innovative approaches to intraoperative margin assessment that could reduce the need for repeat surgeries. Notable contributions include: Development of use-error robust machine learning models for clinical spectroscopy applications Portable optical devices designed for resource-limited settings Texture analysis techniques for improving breast tumor margin detection Validation studies for liver tissue oxygenation monitoring Dr. Yu maintains active collaborations with clinicians at the Medical College of Wisconsin, ensuring his research addresses genuine clinical needs. His work demonstrates a consistent commitment to developing cost-effective, practical medical technologies that can improve patient outcomes across diverse healthcare settings.
Dr. Liviu TANASE is a Scientific Researcher at the National Institute of Materials Physics (NIMP) in Romania, working in the Laboratory of Surface and Interface Science. His research focuses on the characterization of advanced materials using photoelectron spectroscopy and related techniques, with particular emphasis on ferroelectric materials, multiferroics, and carbon-based nanomaterials. Dr. TANASE's research interests span surface science, interface phenomena, and advanced materials characterization. He specializes in using photoelectron spectroscopy to investigate ferroelectric thin films, particularly lead zirconate titanate (PZT), examining polarization states, surface charge dynamics, and interface effects. His work also extends to carbon nanomaterials including carbon dots and nitrogen-doped carbons, where he studies structural properties and their applications in energy conversion and storage. Ferroelectric materials characterization Photoelectron spectromicroscopy techniques Nanoscale polarization phenomena Carbon-based nanomaterials for energy applications Multiferroic systems and phase separation Analysis of Dr. TANASE's recent publications reveals a strong focus on the intersection of surface science and energy applications. His work demonstrates expertise in correlating nanoscale structural features with functional properties, particularly in ferroelectric systems and carbon-based nanomaterials. Key research themes include the relationship between surface polarization and chemical reactivity in ferroelectrics, the structural evolution of carbon dots during synthesis, and the development of advanced materials for photoelectrochemical applications and energy storage. His methodology frequently combines multiple characterization techniques including XPS, LEEM/MEM, and synchrotron radiation to gain comprehensive insights into material properties.
Falk Schneider is an Assistant Professor at the University of Warwick, where since March 2025 he leads the Fluorescence and Membrane Dynamics (FMD) Lab. He is part of the Centre for Mechanochemical Cell Biology (CMCB) and the Cellular Interfaces Cluster, bringing together cell biologists, developmental biologists, and microscopists to understand membrane organization in fundamental biological processes. Dr. Schneider completed his Bachelor and Master studies in Biochemistry at Leibniz University in Hanover, Germany, beginning his scientific journey in 2010. He earned his PhD at the University of Oxford in the Eggeling Lab, which he joined in October 2015 and defended in January 2020. Following his PhD, he conducted postdoctoral work at the Fritzsche Lab for Biophysical Immunology at the University of Oxford and later at Scott Fraser's lab in the Translational Imaging Center at the University of Southern California (USC). His research centers on the development, advancement, and application of fluorescence microscopy and spectroscopy methods to quantitatively study cellular and sub-cellular dynamics. Dr. Schneider specializes in fluorescence fluctuation spectroscopy (FFS), particularly fluorescence correlation spectroscopy (FCS) in conjunction with super-resolution stimulated emission depletion (STED) microscopy. His work focuses on plasma membrane organization and signaling, biophysical imaging with smart probes like the Flipper tension probe, and computational simulations and data analysis using open-source Python programming. A significant portion of his recent work involves studying molecular interactions in physiological contexts using zebrafish as a model system. His publication record demonstrates expertise in quantifying biomolecular organization in membranes, with recent work on brightness-transit statistics (BTS) methodology that simultaneously measures diffusion dynamics and oligomerization. His research bridges advanced imaging techniques with fundamental biological questions about membrane organization in immune cells and developmental processes. Dr. Schneider has established strong technical expertise in both in vitro model membrane systems and in vivo applications, with a particular focus on making advanced quantitative imaging techniques more accessible to the broader research community through open-source software development and methodological tutorials.
Jean-Denis Gabano serves as an Associate Professor specializing in Automatic Control and Systems at the University of Poitiers. He maintains dual affiliations with the Laboratory of Automated Systems Engineering (LIAS) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA campuses, reflecting his integrated role across these engineering institutions. His research program bridges theoretical control systems with practical industrial applications, particularly in energy storage technologies. Dr. Gabano's research expertise centers on fractional-order calculus applications for modeling complex physical phenomena. His work primarily focuses on electrochemical systems, particularly battery impedance characterization across time and frequency domains, and thermal system identification. He has developed sophisticated identification algorithms that enable precise modeling of diffusion processes in batteries and heat transfer in thermal systems. His methodological innovations in fractional-order modeling have significant implications for improving battery management systems and thermal control in industrial applications. Analysis of his publication record reveals a clear research trajectory evolving from fundamental thermal system identification toward increasingly sophisticated battery impedance modeling. His most recent work (2023-2024) demonstrates advanced applications of fractional calculus to lithium-ion battery characterization, addressing critical challenges in impedance spectroscopy and parameter estimation. The interdisciplinary nature of his research connects control theory with electrochemistry and materials science, yielding practical methodologies for energy storage system optimization. Dr. Gabano leads research within the Automatic Control team at LIAS laboratory, focusing on developing advanced system identification methods using fractional calculus. His research group maintains strong collaborative ties with industry partners, particularly in the energy sector, to translate theoretical developments into practical engineering solutions. Current projects emphasize time-domain identification techniques as alternatives to traditional frequency-domain approaches, potentially reducing testing time for battery characterization while maintaining accuracy.
