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Stefan SchürchView profile

Associate Professor

• Mass Spectrometry
• Analytical Chemistry
• Nucleic Acids
• +4 more

Prof. Dr. Stefan Schürch is an Associate Professor of Analytical Chemistry at the Department of Chemistry, Biochemistry and Pharmaceutical Sciences (since 2021) within the Faculty of Science at the University of Bern. Since 1997, he has served as Head of the Mass Spectrometry Group and held roles including Oberassistent (1997–2003) and Lecturer (2003–2016). His academic journey includes a Ph.D. (1990–1995) and habilitation (2007) at the University of Bern, preceded by postdoctoral work at the University of California, Riverside (1995–1997). Graduate Studies in Chemistry (1985–1990) Ph.D. in Organic Chemistry (1990–1995) Postdoctoral Research in Chemistry (1995–1997) His research integrates mass spectrometry to decode the gas-phase behavior of oligonucleotides and their interactions with anti-cancer metallodrugs, advancing nucleic acid structural analysis. Additionally, his team investigates spider hemolymph and venom components, leveraging high-resolution analytical techniques. Recent work spans LC-MS/MS methods for MRI contrast agents, AI-driven pharmaceutical manufacturing , and cannabinoid metabolite identification for forensic applications. Key trends in his publications include innovative ionization techniques for pesticide residue analysis, drug target validation in parasitology, and AI integration in lipid-based delivery systems. His group consistently addresses analytical challenges in drug development , environmental monitoring , and medical imaging . As Head of the Mass Spectrometry Group, Schürch collaborates on interdisciplinary projects, including sustained-release pharmaceutical formulations and venom component characterization. His work bridges analytical chemistry with biomedical and industrial applications.

Bernd PinzerView profile

Professor

• Computer Vision
• Machine Learning
• 3D Metrology
• +5 more

Prof. Dr. Bernd Pinzer serves as Professor and Institute Director at the Institute for Computer Vision within the Faculty of Mechanical Engineering at Kempten University of Applied Sciences. He leads the Optical 3D Metrology and Computer Vision Laboratory (3D visionlab), focusing on interdisciplinary research where physics, mathematics, computer science, and mechanical engineering converge. His educational background includes a physics degree completed in 2005, followed by a doctorate at ETH Zurich (2009) on snow metamorphism using X-ray computed tomography. His postdoctoral work at the Paul Scherrer Institute advanced novel phase-contrast X-ray techniques for medical diagnostics. Research interests span computer vision , 3D metrology , and non-destructive imaging , with emphasis on industrial applications. His work integrates Stereo Vision and Photogrammetry Optical coordinate measurement systems X-ray tomography for material analysis Deep learning for industrial monitoring Recent publications demonstrate strong industry collaboration in foundry automation, additive manufacturing quality control, and medical sensor development. Patents include methods for rotating body surface capture (DE102018216458A1) and processing installation operation (EP3655175A1), reflecting applied research impact. His laboratory develops cutting-edge optical metrology solutions for industrial and medical applications, bridging academic research with practical engineering challenges.

Jeffrey KetterlingView profile

Professor

• Ultrasound Imaging
• Medical Device Development
• Biomedical Engineering
• +6 more

Jeffrey Ketterling is a Professor of Biomedical Engineering in the Department of Radiology at Weill Cornell Medical College since 2022. With over 25 years of experience in ultrasound research, he pioneers high-frequency ultrasound (>20 MHz) and plane-wave imaging technologies for ophthalmic and small-animal applications. Education : Ph.D. and M.Phil. in Engineering from Yale University (1999, 1997), M.S. from Yale (1996), B.S. from University of Washington (1994) Research Focus: Dr. Ketterling’s work bridges ultrasound transducer design (e.g., annular arrays, CMUT arrays), intraocular pressure dynamics, and clinical translation of imaging modalities. His innovations include: Patented annular-array transducer fabrication High-speed plane-wave imaging for blood flow quantification Acoustic nanodrop activation for microcirculation mapping Deep learning frameworks for embryonic mouse imaging Publication Trends: Recent studies emphasize machine-independent quantitative ultrasound for vitreous floaters, vortex flow analysis in cardiac models, and deep learning-enhanced segmentation of 3D ultrasound data. Collaborative efforts span ophthalmology, cardiology, and biomedical engineering domains. Research Funding: Principal Investigator for NIH grants including: National Institute of Biomedical Imaging & Bioengineering (2022–2025): 3D Annular-Array Ultrasound for Vitreo-Retinal Disease National Heart, Lung, & Blood Institute (2022–2026): High-Frequency 2D Row-Column CMUT Arrays for Cardiac Imaging Labs & Teams: Leads a multidisciplinary team developing next-generation ultrasound systems, collaborating with ophthalmologists and biomedical engineers to advance in utero and clinical imaging protocols.

Asai AsaithambiView profile

Professor

• Artificial Intelligence
• Computational Science
• High-Performance Computing
• +3 more

Asai Asaithambi is a Professor and Graduate Program Director in the School of Computing at the University of North Florida (UNF), where he also served as School Director from 2011-2015. With 37+ years of academic experience, he previously held leadership roles including Professor/Chair at the University of South Dakota (2004-2011), Associate Professor/Chair at Saint Louis University (1997-2004), and Assistant/Associate Professor positions at Lincoln University and Mississippi State University. His academic credentials include: PhD in Computer Science, University of Wisconsin-Madison (1985) MS in Computer Science, Indian Institute of Technology-Madras (1980) Bachelor of Technology in Electrical Engineering, Indian Institute of Technology-Madras (1977) Professor Asaithambi's research spans artificial intelligence, computational science, and high-performance computing, with significant contributions to quantum computing algorithms, biomedical image analysis, and numerical methods for differential equations. His work demonstrates consistent focus on applying computational techniques to real-world problems in healthcare, cybersecurity, and engineering, while maintaining strong commitment to broadening participation of underrepresented groups in computing. Analysis of his 15 most recent publications (2019-2025) reveals dominant themes in medical imaging AI (lung X-ray and brain MRI analysis), bioinformatics algorithms for genome rearrangement, quantum computing security implications, and multi-robot coordination systems. His methodology consistently combines theoretical algorithm development with practical implementation, often leveraging advanced optimization techniques and parallel computing approaches. Key research projects include: Getting American Indians to Information Technology (GAIN-IT) as Co-PI (2008-2013) A Computational Intelligence to Gene Structure Prediction as PI (2007-2008) South Dakota Biomedical Research Infrastructure Network as Co-PI (2001-2012) Throughout his career, Professor Asaithambi has directed numerous doctoral dissertations and Master's theses while teaching diverse courses from introductory programming to quantum computing. His teaching philosophy emphasizes critical thinking development for both traditional and non-traditional student populations, with particular attention to mathematical preparation challenges in computational courses.

Katariina ÖörniView profile

Professor

• Atherosclerosis
• Lipoprotein Metabolism
• Cholesterol Metabolism
• +3 more

Katariina Öörni is a Professor at the University of Helsinki , affiliated with the Faculty of Biological and Environmental Sciences and the Molecular and Integrative Biosciences Research Programme . She leads the Atherosclerosis Group at the Wihuri Research Institute, focusing on lipoprotein quality as a cardiovascular risk marker. Current projects examine LDL aggregation susceptibility, proteoglycan binding, and inflammasome activation in atherosclerosis Active collaborations with European Atherosclerosis Society and clinical research networks Recent work links diet, lipid composition, and cardiovascular outcomes in diabetes and post-surgery contexts Research Interests center on molecular mechanisms of atherosclerosis, including: LDL particle instability and aggregation Role of inflammation in plaque progression Impact of diet and pharmacological interventions Sex/gender differences in cardiovascular risk Development of novel diagnostic assays for lipoprotein dysfunction Article Trends (2021-2025) reveal a focus on lipoprotein modification , inflammatory pathways , and translational diagnostics , with interdisciplinary approaches spanning biochemistry , clinical lipidology , and mass spectrometry . Awards: Esko Nikkilä Memorial Lecture (2019) Väitöskirjapalkinto (1999) Multiple thesis mentoring recognitions (2010-2021) Students include 18 PhD and Master's researchers, with ongoing supervision of Lauri Äikäs (2021 thesis) and Emilia Lähteenmäki (2021 thesis). Former group members like Martina Lorey (2017 thesis) and Maija Ruuth (2020 thesis) have completed training under her mentorship. Labs/Teams operate at the intersection of the Wihuri Research Institute and University of Helsinki, collaborating with international groups including the European Atherosclerosis Society (2025-2028 board member). The team employs mass spectrometry , in vivo models , and clinical sample analysis to study atherosclerosis from molecular to population levels.

James RedmanView profile

Senior Lecturer

• Amino acid chemistry
• Protein chemistry
• Peptide chemistry
• +7 more

Dr. James Redman is a Senior Lecturer in Chemical Biology at Cardiff University's School of Chemistry, where he has been a faculty member since 2006. His research focuses on the synthesis of amino acids with heterocyclic side chains designed as building blocks for nucleic acid-binding peptides, constrained analogues of arginine, backbone cyclization of peptides, and computer-aided interpretation of mass spectra. Dr. Redman completed his PhD at the University of Cambridge in 2000 under Professor J.K.M. Sanders, focusing on the self-assembly of porphyrins. He subsequently held a Wellcome Trust Travelling Research Fellowship (2000-2003), was a Research Fellow at the Scripps Research Institute (2000-2002) with Professor M.R. Ghadiri working on protein design and mass spectrometry of cyclic peptides, and served as a Research Associate at the University of Cambridge (2002-2006) with Professor S. Balasubramanian studying recognition of guanine quadruplexes. His research program centers on understanding molecular forces to design synthetic compounds that interact with biological targets and to redesign natural biomolecules for new functions. Key research areas include protein engineering using phage display to select allosteric DNA binding proteins for creating artificial transcription factors, development of synthetic small molecule ligands for folded nucleic acids, and computer-assisted mass spectrometric structure determination of combinatorial library products. Analysis of Dr. Redman's publication record from 2001-2024 reveals a progression from fundamental chemical synthesis to increasingly applied biomedical research. His recent work demonstrates strong interdisciplinary connections between organic chemistry, biochemistry, and medical diagnostics, with particular emphasis on developing detection methods for disease biomarkers and creating novel chemical tools for studying biological systems. Dr. Redman teaches multiple courses including Chemistry of Organic Compounds, Chemical Biology II, Biomolecular Chemistry, Chemical Biology III, Organic Chemistry 2, Medicinal Chemistry, and courses on the Biosynthetic Approach to Natural Products. His laboratory maintains an interdisciplinary approach combining synthetic organic chemistry, biophysical methods, molecular biology techniques, and computational analysis to address complex problems at the chemistry-biology interface.

• Polymer Science
• Nanotechnology
• Biomedical Engineering
• +3 more

Liliana Sofia da Silva Ferreira Pinto de Melro is a researcher and PhD candidate in Textile Engineering at the University of Minho, with 13+ years of experience in polymer science, nanotechnology, and biomedical materials. She has held research positions at the University of Aveiro, Aalborg University, and the University of Minho. PhD in Textile Engineering (2020–2024) MSc in Micro/Nano Technologies (2009–2011) BSc in Applied Chemistry (2003–2008) Her research focuses on nanostructured biomaterials , including in situ nanoparticle synthesis, functionalization of bacterial nanocellulose for wound dressings, and computational modeling of composite interfaces. Key projects involve antimicrobial hernia meshes, halochromic dressings, and plasma-treated nanobiocomposites. Recent publications highlight interdisciplinary trends in biomedical textiles , antimicrobial nanomaterials , and sustainable nanocomposites . Scientific awards include a 2021 ICNF honourable mention, a 2020 FCT PhD grant, and an ERASMUS mobility grant (2010). Scientific Awards Honourable Mention, ICNF 2021 PhD FCT Grant 2020.04919.BD ERASMUS Mobility Grant, 2010 Labs and teams include CICECO (University of Aveiro), Aalborg University’s Institute of Materials and Production, and the 2C2T Textile Science and Technology Center (University of Minho). She collaborates on projects like ActiveMats (2022–present) and MEDCOR (2022–present), integrating nanotechnology with textile engineering for medical and environmental applications.

• Medical Robotics
• Surgical Robotics
• Human-Machine Interfaces
• +5 more

Jérôme Szewczyk is a Professor at Sorbonne University, a lecturer at Polytech Sorbonne, and a researcher at the Institute of Intelligent Systems and Robotics (ISIR). Since 2019, he has led the Assistance to Gestures and Therapeutic Applications (AGATHE) team at ISIR, which also holds the status of a single-team unit at INSERM (ERL U1150). He represents the AGATHE team in the Computer Assisted Medical Interventions (CAMI) lab and maintains collaborative projects with multiple institutions including the University of Technology of Compiègne, University of Rennes 1, Sorbonne University's LIP6 lab, and several hospital departments. Professor Szewczyk's research centers on the design of interactive robotic systems for medical-surgical procedures, organized around three key technological domains: long-range miniature intracorporeal robots, robotic instruments for fine surgery, and human-machine interfaces in medical robotics. His work emphasizes early integration of medical context requirements, experimental validation, and practical application. He serves as a scientific advisor to Basecamp Vascular, a company he co-founded in 2016, demonstrating his commitment to translating research into clinical solutions. Analysis of his recent publications reveals a strong focus on medical robotics applications, particularly in endovascular navigation and middle ear surgery. His work combines advanced image processing techniques with robotic systems to improve surgical precision and outcomes. Key trends include the development of AI-powered tools for medical image analysis, novel approaches to catheter guidance without contrast agents, and dual-scale robotic solutions that address the unique challenges of microsurgery. Professor Szewczyk actively collaborates with numerous institutions across France, including university laboratories and hospital departments specializing in gastroenterology, ENT, and vascular surgery. These collaborations often involve joint research projects and the development of specialized medical technologies. His work with Basecamp Vascular represents a successful example of academic entrepreneurship in the medical robotics field. The AGATHE team at ISIR serves as Professor Szewczyk's primary research environment, focusing on the intersection of robotics, medicine, and human factors. The team works closely with clinicians to develop and validate robotic systems that address real clinical needs, with a particular emphasis on minimally invasive procedures. Their research spans from fundamental robotics principles to clinical implementation, creating a comprehensive pipeline from concept to application.

• Artificial Intelligence
• Machine Learning
• Representation Learning
• +4 more

Dr. Ling Chen is a Professor at the University of Technology Sydney (UTS) , affiliated with the Faculty of Engineering and Information Technology and the Australian Artificial Intelligence Institute (AAII) , where she serves as Research Director. Her work bridges machine learning , representation learning , and reinforcement learning with large language models in interactive systems. PhD in Computer Engineering from Nanyang Technological University (NTU), Singapore Postdoctoral training at Leibniz University Hannover (L3S Research Centre), Germany Dr. Chen's research spans graph neural networks , time-series forecasting , and ethical AI . She develops zero/few-shot anomaly detection models and continual learning frameworks for dynamic environments. Her recent work includes trustworthy AI applications in medical imaging and fraud detection . Her 15 most recent articles focus on graph foundation models , contrastive learning , multimodal medical report generation , and temporal-sensitive question answering . These reflect trends in graph anomaly detection , curriculum learning for Transformers , and ethical AI development . Dr. Chen has received: ARC Future Fellowship (Level 3) COLING 2025 Best Short Paper Award She supervises 25 PhD students, 4 Master-by-Research, and 4 postdoctoral researchers as part of AAII's team of over 30 researchers and 200 HDR students. She holds the IEEE Task Chair for Data Science and Advanced Analytics and collaborates with industry leaders like Facebook and TPG Telecom .

Henning RichterView profile

Researcher

• Diagnostic Imaging
• Translational Research
• Veterinary Surgery
• +5 more

Dr. Henning Richter is a researcher specializing in diagnostic imaging and translational research for veterinary applications. He leads the Diagnostic Imaging Research Unit (DIRU) at the Vetsuisse Faculty, University of Zurich , while also affiliated with the Clinic for Neuroradiology, University Hospital Bonn . His work focuses on clinical imaging modalities, animal model development, and Good Laboratory Practice (GLP) compliance. University of Zurich: Head of DIRU, Clinic for Diagnostic Imaging University Hospital Bonn: Clinic for Neuroradiology DIRU provides advanced imaging services (X-ray, CT, MRI, etc.) for both small/large animals and basic research, emphasizing interdisciplinary collaboration. Dr. Richter holds certification in Laboratory Animal Science (Dipl. SVLAS) and contributes to studies spanning veterinary neurology, pharmacology, and ecological impacts on pollinators. Recent publications highlight his expertise in: Veterinary diagnostic imaging (CT/MRI validation, ADC quantification) Translational pharmacology (gadolinium contrast agents, gastroretentive drug delivery) Neuroscience (epilepsy, CSF hemoglobin toxicity, haptoglobin therapy) Ecological and biomechanical studies (bee overwintering, bone wear analysis)

• Immunology
• Microbiology
• Infectious Disease Dynamics
• +4 more

Girish Soorapp Kirimanjeswara serves as Associate Professor in the Department of Veterinary and Biomedical Sciences within Pennsylvania State University's College of Agricultural Sciences. He maintains cross-disciplinary affiliations with the Huck Institutes of the Life Sciences, Penn State Cancer Institute, One Health Microbiome Center, and Center for Infectious Disease Dynamics. His research focuses on Francisella tularensis pathogenesis , protective immunity mechanisms , and vaccine development using mouse models and macrophage studies. Current work explores cellular immunotherapy imaging, selenium-regulated B-cell responses, and heat-stable protein formulations. Key research areas include: Lung immunology and infectious disease dynamics Attenuated and live vaccine platforms Fluorous protein coating technologies Thrombosis-actuated anticoagulant systems Recent publications demonstrate expertise in plasma medicine applications, sterile bioformulations, and DNA vaccine design against SARS-CoV-2. His work contributes to UN Sustainable Development Goals through infectious disease control and biomedical innovation. Dr. Kirimanjeswara leads multiple NIH-funded projects including: National Cancer Institute grant for ultrasound contrast agents in cellular immunotherapy imaging (2024-2025) NIAID projects on antibody-mediated immunity against F. tularensis (2010-2014) Selenium regulation of B-cell responses (2016-2021) His laboratory maintains active collaborations with the Medina Lab and Slukvin Lab, focusing on bioformulation stability and immunotherapy imaging techniques.

• Acoustics
• Biomedical Engineering
• Medical Imaging
• +7 more

Julianna Simon is an Associate Professor in the Graduate Program in Acoustics at Pennsylvania State University. Her research focuses on the application of focused ultrasound in biomedical contexts, including tendinopathy treatment, atherosclerotic plaque detection, bone regeneration, and cellular immunotherapy imaging. She has secured significant grants from the National Science Foundation, National Cancer Institute, and U.S. Army. Active in projects related to ultrasound-induced cavitation, heterotopic ossification, and phase-changing contrast agents. Contributions to UN Sustainable Development Goals in healthcare innovation. Research Trends: Recent publications emphasize ultrasound's role in tissue engineering, diagnostic precision, and therapeutic interventions, with interdisciplinary collaborations in biomedical engineering and materials science. Grants & Projects: Leads research on focused ultrasound for tendinopathies and heterotopic ossification, funded by NSF, U.S. Army, and Congressionally Directed Medical Research Programs.

• Biomaterials
• Drug Delivery
• Nanotechnology
• +7 more

Sindeeva OA is a Researcher at the School of Engineering and Materials Science, Queen Mary University of London, UK. Her work focuses on biomedical materials, targeted drug delivery, and cell tracking technologies. Key contributions include developing microgels, microcapsules, and stimuli-responsive systems for medical applications. Research interests span Biomaterials for tissue engineering Ultrasound-triggerable drug delivery Photoconvertible labeling systems Magnetic nanoparticle-based imaging agents Her recent publications highlight trends in polymer science, nanotechnology, and translational biomedical engineering. Collaborations with Sukhorukov GB and Gusliakova OI suggest team-based research in colloidal systems and biomedical imaging. No formal awards or student advising details are mentioned in the provided data.

• Medical Imaging
• Nanoparticle-Based Therapies
• Contrast-Enhanced MRI
• +3 more

Hannah Rickman is a Lecturer in Biomedical Science at Bournemouth University , joining in August 2023. Her teaching focuses on foundational science, cell biology, and blood science at both Year 1 and Year 2 levels. Prior to this, she led Blood Science units at Solent University and earned her PhD in Medical Imaging at Imperial College London. PhD in Medical Imaging (Imperial College London, 2021) MRes in Medical Imaging (King's College London, 2017) MSci in Chemistry (University of Birmingham, 2016) Fellowship of the Higher Education Academy (FHEA, 2022) Her research bridges imaging agent development and image-guided therapies , with a focus on gold nanoparticles for cancer imaging and therapy, peptide-linked multi-metallic structures for heart disease imaging, and applications of photodynamic therapy in oncology and antibiotic-resistant infections. She collaborates with clinicians at University Hospitals Dorset to validate MRI for biliary microlithiasis diagnosis and develops gallbladder models with Dr Sarah Upson to replicate MRI features. Recent scientific contributions include a 2024 grant for MRI-based microlithiasis quantification . Her publications span MRI contrast agents , nanoparticle functionalization , and theranostic applications , often integrating photodynamic-photothermal therapy strategies and multimodal imaging approaches. Towards non-invasive quantification of microlithiasis by MRI (Bournemouth University, 04 Mar 2024) She also delivered an invited careers talk at Imperial College London for International Women's Day, sharing her journey from PhD student to lecturer.

Herman Doug MorrisView profile

Associate Professor

• Magnetic Resonance Imaging Physics
• Neuroimaging
• Preclinical Imaging Models
• +4 more

Dr. Herman Doug Morris is an Associate Professor in the Department of Radiology and Bioengineering at the Uniformed Services University of the Health Sciences (USU) in Bethesda, MD. He also serves as an External Investigator at the National Institute of Neurological Disorders and Stroke (NINDS) Laboratory of Functional and Molecular Imaging and practices as an MRI physicist at Walter Reed National Military Medical Center. Education includes: Ph.D. in Physical Chemistry from University of South Carolina (1989) B.S. in Chemistry and Biology from Emory University (1983) His interdisciplinary research integrates physics, engineering, and medicine to develop novel MRI techniques. Primary focus areas include: Microstructural MRI analysis of traumatic brain injury and white matter diseases Advanced neuroimaging methodology development Preclinical imaging model optimization Magnetocaloric contrast agent engineering Diffusion encoding applications for clinical oncology Publications show consistent focus on MRI physics innovations with recent emphasis on neuroimaging applications (2023), technical calibration methods (2023), and military-related TBI research (2023). Earlier works established foundations in contrast mechanisms (2021), metabolic imaging (2011), and k-space implementations (2004). Honors include: Fellow of the International Society for Magnetic Resonance in Medicine (elected 2002) Professional certifications: Diplomate, American Board of Medical Physics (MRI Physics, 2007-2027) Diplomate, American Board of Magnetic Resonance Safety (2017-2026) Leadership roles encompass Director and Examiner positions at the American Board of Medical Physics, along with editorial responsibilities for Regenerative Medicine Reports and Frontiers in Neuroscience.