Find Academic Supervisors

Michele A. KorbView profile

Professor

• STEM Education
• Teacher Preparation
• Educational Technology
• +3 more

Dr. Michele A. Korb is a Professor in the Department of Teacher Education at California State University, East Bay (CSUEB). She earned a B.S. in Secondary Education and Biology (1989) and an M.Ed. in Educational Policy and Leadership (1999), both from Marquette University. Her career includes teaching high school science, serving as a faculty member at Marquette University, and leading initiatives to strengthen science education through interdisciplinary collaboration. At CSUEB, she has secured nearly $15M in National Science Foundation (NSF) grants to support STEM teacher development. Her work focuses on integrating technology (e.g., Bugscope) into K-12 science curricula, promoting inquiry-based learning, and advancing equity in education. Education: B.S. in Secondary Education, Broad Field Science and Biology, Marquette University (1989) M.Ed. in Educational Policy and Leadership (emphasis in science education), Marquette University (1999) Ph.D. (degree details not specified in text) Research Interests: Dr. Korb specializes in STEM teacher preparation, educational technology, and curriculum design. She pioneered the use of Bugscope, an online platform enabling K-12 students to operate a scanning electron microscope remotely. This project emphasizes hands-on, inquiry-driven science education and has engaged over 500 classrooms nationwide. Her work bridges science and education disciplines to foster critical thinking and scientific literacy. Grants & Awards: She holds the prestigious SPORE Award (2011) from Science magazine for her contributions to online educational resources. Her NSF-funded projects focus on preparing teachers to address diverse student needs in STEM fields. Advising & Leadership: As a faculty member, Dr. Korb mentors preservice teachers and collaborates across departments to strengthen teacher education programs. She has held roles in curriculum development, faculty governance, and community partnerships. Labs/Teams: Collaborates with scientists and educators to design innovative science curricula, notably through Bugscope and NSF-funded initiatives.

Christopher SmithView profile

Associate Professor

• Computer Vision
• Robotics
• Wireless Sensor Networks
• +3 more

Christopher Smith is an Associate Professor in the School of Computer Science & Mathematics at Lake Superior State University, within the College of Business, Engineering, Computer Science, & Mathematics. His research focuses on computer vision, robotics, and wireless sensor networks, with applications in precision agriculture, medical imaging, and human-robot interaction. He holds a B.S. from Lake Superior State University, an M.S. from the University of Michigan, and a Ph.D. from the University of Minnesota. Education: Bachelor of Science, Lake Superior State University Master of Science, University of Michigan Doctor of Philosophy, University of Minnesota Research Interests: Dr. Smith’s work spans robotics, sensor networks, and vision-based systems. Recent projects include: Developing robust algorithms for plant phenotyping in 3D point clouds Advancing fractal-based models for image segmentation and tracking Leveraging wireless sensor networks for accessibility solutions Exploring statistical methods for dynamic system modeling Publications reflect a focus on interdisciplinary applications of computer vision and robotics, with contributions to precision agriculture, medical imaging, and autonomous systems. His work often bridges theoretical foundations and real-world implementations, emphasizing practical solutions in unstructured environments. He has no listed scientific awards or grants in the provided data, and no advisees are mentioned. His office is located in CAS 206 F.

Markus WenzelView profile

Associate Professor

• Medical Imaging
• Deep Learning
• Healthcare AI
• +3 more

Prof. Markus Wenzel is an Associate Professor of Medical Cognitive Computing at the School of Computer Science & Engineering, Constructor University Bremen. His research focuses on interpretable deep learning and computer-aided diagnosis systems for healthcare applications, particularly in medical imaging. He holds a PhD in 'Complexity Reduction in Image-Based Breast Care' (2014) from University Bremen and a BSc in Computer Science (With Distinction) from the Distance Learning University, Hagen. Wenzel has extensive industry experience, including roles at Fraunhofer MEVIS as a Key Scientist in Computational Breast Care (since 2021) and Senior Scientist (2005–2021). His work emphasizes clinical practicality, such as breast MRI segmentation and AI-driven diagnostic tools. Research highlights include developing the QuantMed platform for translational research and exploring generative adversarial networks (GANs) for medical data synthesis. He has authored over 50 peer-reviewed publications, with recent work focusing on CNN-based lesion detection, swarm learning, and uncertainty quantification in medical imaging. Awards include a prestigious scholarship from the Studienstiftung des Deutschen Volkes and certification as a Scientific Trainer (2022). Wenzel collaborates with clinicians to bridge AI research and clinical practice, addressing challenges like model interpretability and data scarcity in healthcare. His contributions span medical imaging analysis, AI-driven decision support systems, and robust deep learning frameworks for heterogeneous medical data.

Suk Jin LeeView profile

Associate Professor

• Internet of Things
• Network Protocols
• Computer Vision
• +3 more

Suk Jin Lee is an Associate Professor of Information Technology at James Madison University's College of Integrated Science & Engineering. His expertise spans IoT, network protocols, computer vision, machine learning, signal processing, and target tracking. He teaches a wide range of undergraduate and graduate courses, including computer networks, IoT, and algorithms. Lee holds a Ph.D. in Electrical & Computer Engineering from Virginia Commonwealth University (2012), an M.E. and B.E. from Pukyong National University, South Korea. His research focuses on IoT security protocols, embedded vision systems, medical imaging, and biomedical applications. Notable projects include IoT authentication frameworks, MRI super-resolution methods, and automated insulin delivery systems. He has contributed to nanosensor networks and real-time streaming solutions using Raspberry Pi. His work integrates machine learning into medical diagnostics and tumor motion prediction. Lee's teaching innovations include hands-on learning designs for computer organization and curriculum development in IoT education. He has held academic positions at Columbus State University (2016-2023) and Texas A&M University-Texarkana (2013-2016), and conducted postdoctoral research at the University of Maryland Medical Center. His publications highlight interdisciplinary approaches, combining IoT, blockchain, and medical technologies. Current research trends emphasize energy-efficient protocols, AI-driven medical imaging, and IoT security for smart devices. Lee has advised numerous projects in senior design and independent studies, focusing on practical implementations of theoretical concepts. His lab work involves developing frameworks for IoT appliance control and embedded vision systems.

• Contrast Media
• Magnetic Resonance Imaging
• Gadolinium
• +3 more

Mark Woods is an Associate Professor with a joint appointment at Oregon Health & Science University (OHSU) and Portland State University (PSU). He holds roles in the Advanced Imaging Research Center at OHSU and the Department of Chemistry at PSU, balancing his time equally between both institutions. His research focuses on developing advanced MRI contrast media, particularly gadolinium-based agents targeting specific pathologies, emphasizing enhanced sensitivity for clinical applications. Dr. Woods earned his B.Sc. from the University of York (1995) and Ph.D. from the University of Durham (1998). He completed a TMS fellowship at Université Claude Bernard Lyon 1 (1999) and postdoctoral work with Professor Dean Sherry at the University of Texas at Dallas (2000–2004). Before joining academia, he was a senior research scientist at Macrocyclics (2004–2007). His research interests span Contrast Media, Magnetic Resonance Imaging (MRI), Gadolinium chemistry, and Lanthanide-based agents. Key contributions include optimizing gadolinium chelates for improved clinical safety and efficacy, particularly in pregnancy, and pioneering nano-encapsulation techniques to enhance MRI contrast. His work bridges chemistry and biomedical imaging, addressing challenges in targeted imaging and contrast agent design. Publications highlight advancements in chelate synthesis, relaxometric properties, and nano-assembly platforms. His 2018 work on Gadolinium chelate safety in pregnancy and 2024 study on α-Aryl substituted GdDOTA derivatives exemplify his impact. Awards include the Minerals, Metals & Materials Society (TMS) fellowship (1999). Dr. Woods collaborates across institutions, leading interdisciplinary teams in labs focused on molecular imaging and material science. His research addresses translational challenges in MRI contrast agent development, aiming to improve diagnostic accuracy and patient safety.

• Neuroimaging
• Neuroscience
• Cognitive Science
• +3 more

Jorge Jovicich is a Full Professor in the Department of Psychology and Cognitive Science at the University of Trento, Italy. He holds concurrent roles at the Center for Mind/Brain Sciences (CIMeC) and the Centre for Medical Sciences (CISMED). With expertise in functional neuroimaging and MRI technology, he leads the MRI lab and Methods Group at CIMeC since 2006. His academic career spans postdoctoral research at institutions like MIT, Caltech, and Harvard Medical School, alongside roles as a lecturer in neuroscience and medical imaging. Education includes a PhD in Physics from the Max-Planck Institute and University of Leipzig, an MSc in Medical Imaging from the University of Aberdeen, and a Licenciatura en Física from the Universidad Nacional de Córdoba. His research focuses on brain connectivity, neurodegenerative disorders (e.g., Alzheimer’s, Parkinson’s), and advancing MRI techniques for clinical applications. He has contributed to projects like the ISMRM reproducibility challenge and developed tools such as ReStNeuMap for functional MRI network analysis. Teaching spans global institutions including Harvard, MIT, and the Instituto Balseiro in Argentina. His work emphasizes translational neuroimaging, bridging basic science and clinical practice. Key interests include biomarker development for neurodegenerative diseases and optimizing neuroimaging protocols for accuracy and reproducibility. Recent research trends include exploring temporal resolution in fMRI, thalamic nuclei segmentation, and microstructural pathways in cognitive impairment. Collaborative efforts aim to standardize neuroimaging practices and improve diagnostic accuracy through advanced MRI methods.

• Agricultural Engineering
• Construction Materials
• Agro-industrial Projects
• +3 more

Joaquín Julián Pérez is an Associate Professor of Engineering at the Miguel Hernández University of Elche (Spain), specializing in Agricultural and Construction Engineering. He currently serves as the Director of the Ibero-America Espejo Program under the Vice Rectorate for Internationalization and Cooperation. His academic roles include teaching courses such as Infrastructure Design, Agro-Food Industry Projects, and Project Engineering across bachelor's, master's, and doctoral programs. His research focuses on sustainable construction materials, particularly gypsum composites reinforced with graphene or natural fibers like Arundo donax , and optimization of rural infrastructure. He also explores agro-industrial project management and the application of advanced materials in Mediterranean building practices. Additional interests include neurodegenerative diseases (e.g., Huntington's and Parkinson's) through collaborations in biomedical engineering. Recent publications highlight innovations in construction material resilience, international agro-export strategies, and cognitive network disruptions in neurological disorders. His work bridges engineering, agriculture, and medicine, with a strong emphasis on interdisciplinary solutions for sustainable development. He is affiliated with the University Institute for Agro-food and Agro-environmental Research and Innovation, contributing to projects that integrate environmental, economic, and technical aspects of rural development. His teaching spans structural design, project management, and material science, reflecting his commitment to practical academic training.

Ronald PeshockView profile

Professor

• Cardiology
• Radiology
• Medical Imaging
• +7 more

Ronald Peshock is a Professor of Radiology and Internal Medicine at UT Southwestern Medical Center, with dual expertise in cardiology and radiology informatics. His academic career spans over four decades since earning his medical degree from UT Southwestern Medical Center in 1976, followed by internship, residency, and cardiology fellowship at Parkland Health & Hospital System. Dr. Peshock completed his medical education at UT Southwestern Medical Center (1976), followed by an internship (1977), residency in Internal Medicine (1979), and fellowship in Cardiology (1982), all at Parkland Health & Hospital System. His educational background established the foundation for his dual expertise in cardiology and radiology that would define his research career. Dr. Peshock's research spans cardiovascular imaging with particular focus on cardiac MRI, CT angiography, and left ventricular hypertrophy assessment. His work bridges clinical cardiology and advanced imaging techniques, with growing emphasis on artificial intelligence applications in medical imaging. He has been instrumental in implementing standardized imaging protocols across healthcare systems and developing AI tools for risk stratification and diagnostic assistance. His research often leverages population-based studies like the Dallas Heart Study to identify imaging biomarkers with clinical relevance. Analysis of his recent publications reveals a strategic shift toward AI integration in radiology practice, with approximately 40% of his 2020-2025 publications focusing on artificial intelligence applications. His work addresses both technical aspects of AI implementation and practical considerations for clinical workflow integration, particularly in safety-net hospital settings. The publications demonstrate a progression from developing AI tools to evaluating their real-world impact on diagnostic accuracy, turnaround times, and clinical decision-making. Dr. Peshock has made significant contributions to medical imaging standards and protocols, particularly through collaborative work with professional organizations. His research on implementing shared imaging protocols across healthcare enterprises has improved workflow efficiency and quality control in radiology departments. Throughout his career, Dr. Peshock has mentored numerous trainees and collaborated extensively across disciplines, working with researchers in cardiology, neurology, and computer science. His work on integrating AI into radiology residency training reflects his commitment to preparing the next generation of radiologists for technology-driven practice. He has participated in multi-institutional research initiatives focused on cardiovascular risk assessment through advanced imaging techniques.

• Nanomaterials Synthesis
• Biomedical Applications
• Catalysis
• +3 more

Maria Volokhova is a Researcher at the National Institute of Chemical Physics and Biophysics (NICPB), Estonia. She holds a Doctor's Degree (2022) from Tallinn University of Technology (TUT), School of Science, focusing on magnetic nanomaterials for biomedical applications under supervision of Liis Seinberg. Her Master's (2018) and Bachelor's (2016) degrees are also from TUT's Applied Chemistry and Biotechnology program. Her research spans nanomaterials synthesis, catalysis, and biomedical applications of magnetic nanoparticles. Key projects include MRI contrast agent development and catalytic oxidation processes. She has contributed to projects funded by the Estonian Research Council and Archimedes Foundation. Volokhova has authored/co-authored 7 peer-reviewed publications (2018–2025), including work on cobalt-based catalysts and iron core-shell nanoparticles. She holds an invention patent for metal-based nanoparticle synthesis. Awards include the Tamkivi Real Sciences Scholarship (2020) and Dora Pluss mobility grant (2019). She participated in international workshops like the AVS Conference 2018 and co-organized the EURELAX COST Action workshop in 2020. Her expertise bridges chemistry, materials science, and biomedical engineering.

• Space Physics
• Atmospheric Science
• Magnetosphere Studies
• +5 more

Andrew Gerrard is a Professor of Physics at New Jersey Institute of Technology (NJIT), serving as Director of the Polar Engineering Development Center (PEDC) and the Center for Solar-Terrestrial Research. He is also affiliated with the Big Bear Solar Observatory. His research focuses on magnetospheric physics, auroral dynamics, and space weather, with significant contributions to understanding the Earth's radiation belts, ULF waves, and solar-terrestrial interactions. Key affiliations include leadership roles in federal grants funded by the National Science Foundation (NSF), focusing on Antarctic geospace facilities, auroral imaging, and upper atmosphere diagnostics. Notable projects include the Short Wave Infrared Imaging for Auroral Physics (2024), Next Generation Geospace Facilities in Antarctica (2024), and MRI acquisition of advanced Fabry-Perot interferometers (2022). Research interests span magnetosphere boundary studies, radiation belt dynamics, and auroral emissions, with a strong emphasis on observational techniques. He has produced over 60 peer-reviewed articles, including landmark studies on ULF wave observations and RBSPICE instrumentation. Media engagements highlight his expertise in solar activity impacts, such as aurora visibility and space weather disruptions. Collaborations include international partnerships on interhemispheric ULF wave studies and foreshock transients. His work integrates ground-based observatories with satellite data to advance space weather forecasting and geospace modeling.

Francisco Gil CanoView profile

Professor

• Veterinary Anatomy
• Anatomical Pathology
• Veterinary Imaging Techniques (CT/MRI)
• +3 more

Francisco Gil Cano is a Professor at the Department of Anatomy and Pathological Anatomy in Veterinary Medicine at the University of Murcia's Faculty of Veterinary Medicine. He holds a PhD from the same institution, awarded in 1986 for his thesis on postnatal myofibrillar differentiation in canine muscles under Dr. Francisco Moreno Medina's supervision. His research focuses on veterinary anatomy, imaging techniques (CT/MRI), comparative anatomy, and historical veterinary practices. He is affiliated with the Veterinary Anatomy and Embryology research group. PhD: Universidad de Murcia (1986) Research interests include anatomical innovations in veterinary education (e.g., 3D printing applications), comparative studies of feline and big cat anatomy using advanced imaging, and historical analyses of veterinary practices from Roman to medieval periods. He has contributed to archaeological studies involving animal remains and developed anatomical atlases for veterinary reference. His work bridges modern diagnostic techniques with historical veterinary science. Publications highlight advancements in ultrasound-guided anesthesia techniques for small animals, anatomical studies of domestic and wild species, and interdisciplinary projects combining veterinary science with archaeology and history. No scientific awards are explicitly mentioned. His advising record includes supervising his own doctoral thesis, but no current advisees are listed. His contributions extend to institutional history, including studies on the establishment of the Murcia Veterinary School and historical slaughterhouse operations. Labs/teams: Active member of the Veterinary Anatomy and Embryology research group within the University of Murcia's Faculty of Veterinary Medicine.

Isaac O. AfaraView profile

Associate Professor

• Applied spectroscopy
• Computational biophotonics
• Machine learning in biospectroscopy
• +2 more

Isaac O. Afara is an Associate Professor at the Department of Technical Physics , Faculty of Science, Forestry and Technology , University of Eastern Finland . He leads the Biomedical Spectroscopy Lab (BSL) and the Biophysics of Bone and Cartilage (BBC) research group, focusing on translational spectroscopy and computational biophotonics for tissue diagnostics. Multi-disciplinary team of physicists and engineers Established 2018 (BSL), 1998 (BBC) His research bridges applied spectroscopy , machine learning , and biomechanics to develop optical methods for non-destructive assessment of biological tissues. Key areas include: Visible/NIR/Raman spectroscopy for cartilage/meniscus diagnostics Computational modeling of tissue optical properties Development of AI-driven preprocessing algorithms Characterization of viscoelastic properties in connective tissues Recent work demonstrates machine learning-enhanced spectroscopy for real-time cartilage assessment during arthroscopy, with applications in osteoarthritis detection, tissue engineering, and joint biomechanics. His 15 most recent articles (2025-2017) focus on: Cartilage/meniscus biomechanical properties Spectral differentiation of tissue pathologies Photon path length modeling Multi-sensor data fusion techniques Optical diagnostics for fibrosis and osteoarthritis Development of open-source preprocessing tools He collaborates with international institutions on computational biophotonics and has contributed to open-source Python modules for spectroscopic data analysis.

• Synthesis of organic small molecules
• Flow chemistry
• Molecular bio-conjugation
• +5 more

Floris Rutjes is a Full Professor and Chair of Synthetic Organic Chemistry at Radboud University's Faculty of Science in Nijmegen, The Netherlands. He has held this position since 1999 and previously served as Assistant Professor at the University of Amsterdam (1995-1999). Currently, he also serves as President of the European Chemical Society (EuChemS) since 2021 and directs the Institute for Molecules and Materials (IMM) at Radboud University. Professor Rutjes specializes in the synthesis of organic small molecules with research spanning four major areas: (i) New Synthetic Methods involving chemo-enzymatic and transition metal-catalyzed reactions to produce enantiopure heterocyclic building blocks; (ii) Medicinal Chemistry focusing on biologically active small molecules; (iii) Molecular Bioconjugation developing 'click' probes like BCN and DIBAC/DBCO that are now used in clinical trials for antibody-drug conjugates; and (iv) Flow Chemistry where he pioneered the use of continuous flow microreactors in organic synthesis. His work uniquely bridges fundamental academic research with industrial applications. His publication record shows consistent contributions to organic chemistry, with recent work (2021-2017) emphasizing advanced spectroscopic techniques, hyperpolarization methods for NMR detection, novel catalytic systems, and applications in medicinal chemistry. The research demonstrates a strong trajectory from fundamental chemical methodologies toward biomedical applications, particularly in drug development and diagnostic techniques. Among his notable honors: Chemistry Europe Fellow (2022) Knight in the Order of the Netherlands Lion (2020) Most Entrepreneurial Scientist of the Netherlands Award (2008) International AstraZeneca Award for Research in Organic Chemistry (2003) Gold Medal of the Royal Netherlands Chemical Society (2002) Professor Rutjes has successfully secured significant research funding, including a €1.5M grant from the Top-sector Health-Holland program to develop antiviral compounds against COVID-19, and leads multiple international consortia including an EU-Eurostar project for PTSD treatments and the COILED project for immunity research. His entrepreneurial spirit is evident through spin-off companies like Chiralix (2002) and FutureChemistry (2008), with several other companies including Synaffix and COILED Therapeutics founded based on research conducted under his guidance. As Director of the Institute for Molecules and Materials, he oversees a multidisciplinary research environment spanning organic chemistry, solid-state NMR, microfluidics, and MRI imaging. His collaborations extend to the Fraunhofer Institute in Germany, Eindhoven University of Technology, and multiple pharmaceutical companies, creating a robust ecosystem for translating chemical innovations into practical applications.

Markus SchwaigerView profile

Professor

• Molecular Imaging
• Multimodal Imaging
• Oncology
• +1 more

Markus Schwaiger is a leading academic physician and researcher, currently serving as President of the Bavarian Academy of Sciences and Humanities (2023-present). He previously held pivotal roles including Medical Director/CEO of Klinikum rechts der Isar (2016-2021), Founding Director of TranslaTUM at Technical University of Munich (TUM), and Director of Nuclear Medicine at TUM (1993-2017). He maintains an adjunct professorship at the University of Michigan (1993-2018) and has held deanship positions at TUM's School of Medicine. His education includes an M.D. from Free University of Berlin (1977), with postdoctoral training at UC Cincinnati and UCLA specializing in cardiology and nuclear medicine. Research focuses on molecular imaging , multimodal imaging , oncology , and cardiology . His work pioneers novel diagnostic techniques for cancer and cardiovascular diseases, particularly through PET/CT and hybrid imaging technologies. Publications emphasize translational applications in tumor targeting, treatment response assessment, and cardiac pathophysiology. Awards and honors include: Membership in German National Academy of Sciences and Bavarian Academy of Sciences Georg von Hevesy Medals (2005, 2016) Federal Cross of Merit (2009) Honorary memberships in RSNA, JRS, EANM, and ESMI Paul C. Aebersold Award and Georg Charles de Hevesy Nuclear Pioneer Award He secured major grants from DFG, EU, and BMBF supporting projects in radionuclide therapy, molecular imaging (ERC Advanced Grant MUMI), and translational cancer research. Founded TranslaTUM to bridge clinical and technical oncology research.

• Primate Behavior
• Evolutionary Anthropology
• Cognitive Ethology
• +4 more

Roman Wittig is a Senior Scientist (W2) and Research Group Leader at the Max Planck Institute for Evolutionary Anthropology, leading the Taï Chimpanzee Project in Côte d'Ivoire. He co-initiated the Evolution of Brain Connectivity Project and is a member of the DFG Researcher Unit SoHaPi. His work focuses on the evolutionary roots of social organization, cooperation, and cognition in primates, particularly chimpanzees and bonobos. Education: 2004: Dr. rer. nat. in Biology, University of Leipzig & Max Planck Institute for Evolutionary Anthropology 1996: Diplom in Biology, University of Bielefeld Research Interests: Wittig investigates the costs and benefits of group living in primates, hormonal mechanisms underlying social bonds, and cognitive adaptations promoting cooperation. He employs field experiments and non-invasive hormonal analysis to explore how sociality impacts life history and health. His comparative approach spans multiple primate species and populations, including chimpanzees, bonobos, baboons, and mangabeys. Articles Summary: Recent work includes studies on chimpanzee brain connectivity, vocal communication complexity, and the evolution of tool use. These highlight the role of social learning, cultural transmission, and environmental pressures in shaping primate behavior and cognition. Scientific Awards: 2018: Max Planck Synergy Research Group Leader (Evolution of Brain Connectivity) 2012: Young Investigator Award (Society of Behavioral Neuroendocrinology) 2006: DFG Research Fellowship Grants & Advising: Wittig leads major grants totaling over €2 million, including Max Planck and DFG funding. He advises PhD students studying chimpanzee communication, tool use, and health. His lab collaborates internationally, integrating fieldwork with neuroimaging and genetic analyses. Labs/Teams: The Wittig & Crockford Lab hosts interdisciplinary researchers exploring primate behavior, cognition, and ecology. Key collaborations include the Taï Chimpanzee Project, the Pan-Pan Comparison initiative, and the Evolution of Brain Connectivity Project.