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Resa M KellyView profile

Professor

• Chemistry Education
• Molecular Visualization Design
• Student Conceptual Understanding
• +3 more

Professor Resa M Kelly is a faculty member in the Department of Chemistry within the College of Science at San José State University. She serves as Director of Science Education and was a Board Member of the ACS IAC (2020-2022). Her research focuses on chemical education, particularly on how students learn and modify their understanding of chemistry concepts through molecular visualizations and metacognitive monitoring activities. Doctor of Philosophy (Chemistry Education), University of Northern Colorado, 2005 Master of Science (Chemistry Education), University of Northern Colorado, 2004 Master of Arts (Chemistry), University of Northern Iowa, 2000 Bachelor of Arts (Chemistry), University of Northern Iowa, 1992 Bachelor of Arts (Psychology), University of Notre Dame, 1990 Her research explores: Designing molecular animations for conceptual understanding Developing experimental videos with controls and variables Metacognitive monitoring in chemistry learning Mental model analysis through interviews and think-aloud sessions Faculty pedagogical changes through learning communities Student critique of visualization accuracy Research trends in her publications show sustained focus on molecular visualization design , student conceptual development , and metacognitive strategies in chemistry education across secondary and tertiary levels. Key topics include acid-base reactions, redox processes, and precipitation mechanisms. Scientific awards include: NSF Award #1525557 for chemistry visualization development Professor Kelly advises both graduate and undergraduate students in science education research projects. Current students include Sean Nguyen, while former advisees like Kiera Wright and Brandon Wall have completed studies on visualization effectiveness and conceptual transfer. Her work is associated with the SJSU Science Education Program and focuses on developing research-based visualization tools for chemistry instruction.

Mira YunView profile

Associate Professor

• Wireless Networks
• Internet of Things (IoT)
• Medical Device Networking
• +3 more

Mira Yun is an Associate Professor in the Department of Computer Science and Networking at Wentworth's School of Computing and Data Science since 2011. She teaches courses including Wireless Networks, Medical Device Networking, and Network Programming, while focusing on wireless communication and IoT research. 2011–Present: Associate Professor at Wentworth Taught 8+ courses spanning wireless systems to programming fundamentals Her research explores wireless communication applications in public safety, medical devices, and educational technology. Publications demonstrate interdisciplinary work combining IoT with pedagogy and safety systems. Recent publications (2019–2021) show diverse contributions across: IoT applications Wireless network optimization STEM education innovation Medical technology Emergency communication systems Acoustic data transmission Her work emphasizes hands-on learning and community engagement, particularly through projects involving undergraduate researchers and youth education initiatives.

Kyriacos LeptosView profile

Research Fellow

• Biological Physics
• Microbial Biophysics
• Fluid Dynamics
• +3 more

Kyriacos Leptos is a Senior Research Fellow at the University of Cambridge, affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) within the Faculty of Mathematics. He is part of the Biological Physics research group led by Professor Raymond Goldstein. His work focuses on the dynamics of microorganism movement, particularly flagellar behavior, phototaxis, and fluid dynamics. Leptos holds a PhD in Genetics from Harvard Medical School (2000–2007) and a B.A. in Biological Sciences from Cornell University (1995–1999). His research interests span microbial biophysics, collective behavior in suspensions of microorganisms, and the evolutionary mechanisms underlying motility. Key areas include the synchronization of flagellar motion, environmental responses (e.g., phototaxis, aerotaxis), and the fluid dynamics of microorganism swarms. Leptos has contributed to advancements in tracking technologies and proteomic analysis tools, such as the PEPPeR platform and MapQuant software. His publications address topics like phototactic steering in Chlamydomonas, vortex formation in algal suspensions, and diurnal variations in microalgal motility. While no scientific awards are explicitly listed, his work has been featured in high-impact journals such as Physical Review Letters and Molecular Biology and Evolution . Leptos collaborates on projects involving interdisciplinary teams and has advised on grants related to biological physics and fluid dynamics. His lab’s current focus includes understanding the biophysical principles governing microbial navigation and the evolutionary transitions in motility across species.

Mehmet Fatih YanikView profile

Professor

• Neurotechnology
• Neuroengineering
• High-Throughput Screening
• +6 more

Prof. Mehmet Fatih Yanik is a Full Professor at the Department of Information Technology and Electrical Engineering at ETH Zürich and Deputy Head of the Institute of Neuroinformatics. He leads the Yanik Lab, focusing on neurotechnology, neuroengineering, and high-throughput screening systems for drug discovery. His career includes tenured positions at MIT (2006-2014) and postdoctoral work at Stanford University. He holds a BS and MS from MIT (Electrical Engineering/Physics and Computer Science) and a PhD in Applied Physics from Stanford. Educations: BS in Electrical Engineering and Physics, MIT (1999) MS in Engineering and Computer Science, MIT (2000) PhD in Applied Physics, Stanford University (2006) Research Interests: Prof. Yanik’s work spans neurotechnology platforms for large-scale neural recording and stimulation, high-throughput in vivo screening systems for drug discovery, and advanced neuroimaging techniques. He pioneered ultra-flexible neural electrodes and non-invasive focused ultrasound neuromodulation. His lab integrates machine learning with neurotechnology to study brain circuit dynamics and anesthetic states. Awards: NIH Director’s Pioneer Award (youngest recipient) ERC Consolidator Award Bridge Discovery Award Technology Review’s 'Top 35 Innovators Under 35' Advising & Grants: His research is supported by NIH, ERC, NSF, and industry partnerships. He directs the NSC Master’s program and teaches courses like "Bioelectronics and Biosensors" . The Yanik Lab collaborates widely, advancing translational neurotechnology for clinical applications. Labs & Teams: The Yanik Lab at ETH Zürich develops cutting-edge tools for neuroscience, including neural interface technologies and AI-driven analysis pipelines for behavioral and neural data.

Anne AndrewsView profile

Professor

• Neurochemical Sensing
• Biosensor Development
• Neuropsychopharmacology
• +2 more

Professor Anne Andrews holds joint appointments in Chemistry & Biochemistry and Psychiatry & Biobehavioral Sciences at UCLA. She leads research in neurochemical sensing, developing implantable biosensors for real-time neurotransmitter monitoring. Her innovations include aptamer-based field-effect transistors for serotonin/dopamine detection and wearable cortisol trackers. Her laboratory advances flexible electronics for neurological applications, combining nanotechnology with machine learning to optimize neurochemical detection. Recent work establishes serotonin's role in stress response circuitry and examines pharmacological interventions during pregnancy. Honors include NSF's PECASE Award and fellowships in biomedical engineering. She currently advises six doctoral candidates and maintains NIH-funded projects on molecular sensing platforms and neuropharmacology.

Zeyneb KurtView profile

Lecturer

• Bioinformatics
• Computational Biology
• Machine Learning
• +4 more

Dr. Zeyneb Kurt is a Lecturer in Data Science at the School of Information, Journalism and Communication, University of Sheffield. She holds a BSc, MSc, and PhD from Yildiz Technical University (Turkey). Her career includes postdoctoral research at UCLA (2015–2018), where she focused on bioinformatics and received fellowships from the American Heart Association and UCLA’s Women’s Health Center. She was an Assistant Professor at Yildiz Technical University (2018–2020) and Northumbria University (2020–2023) before joining Sheffield in November 2023. Her research interests span bioinformatics, computational biology, machine learning, and health informatics. She develops AI-driven models to analyze multi-omics data, predict cancer subtypes, and assess healthcare worker wellbeing. She leads the Health Informatics Research Group and supervises PhD students in AI applications for healthcare and environmental challenges. Dr. Kurt’s scientific awards include two postdoctoral fellowships (American Heart Association and UCLA Iris Cantor). Her work spans grants in AI for medical imaging, marine debris tracking, and wellbeing analytics. She teaches courses like INF210 - Practical Programming for Data Science and INF6050 - Database Design . Her supervision includes students working on AI for debris detection, cancer subtype prediction, and single-cell analysis. She actively collaborates on interdisciplinary projects, blending computational methods with healthcare and environmental science.

Matt MearsView profile

Senior Lecturer

• Physics Education in Higher Education
• Biophysics
• Polymer Physics
• +3 more

Dr. Matt Mears is a Senior Lecturer in Physics at the School of Mathematical and Physical Sciences, University of Sheffield. He specializes in physics education research, biophysics, and polymer science. His teaching responsibilities include leading modules PHY120 and PHY407, and supervising projects in PHY341. He is actively involved in educational innovation, laboratory coordination, and academic service roles such as Head of Second Year Lab and membership in the ShePHERD group. Research interests span physics pedagogy, cellular adhesion mechanics, and polymer surface dynamics. Notable contributions include developing the 'Spiderwheel' educational apparatus and exploring sperm motility influences on hydrophobic substrates. He holds a Senior Fellowship of the Higher Education Academy (SFHEA) and contributes to institutional equality initiatives through the Departmental Equality and Diversity committee. His publication record reflects interdisciplinary work in education, biophysics, and materials science, with recent focus on coding barriers in first-year physics students and experimental techniques for thermal expansion measurements.

John C GoreView profile

Professor

• Biomedical Imaging
• Medical Physics
• Neuroscience
• +3 more

John C Gore is a University Professor and holds the Hertha Ramsey Cress Chair in Medicine at Vanderbilt University. He is affiliated with the School of Engineering, serving as Director of the Vanderbilt University Institute of Imaging Science (VUIIS). His academic roles include Professorships in Radiology and Radiological Sciences, Biomedical Engineering, Molecular Physiology and Biophysics, and Physics and Astronomy. Gore's research focuses on advancing biomedical imaging techniques, particularly MRI applications in neuroscience and clinical diagnostics. He holds a Ph.D. in Physics from the University of London and has authored over 700 publications. His work bridges multiple disciplines, including neuroimaging, diffusion MRI, and AI integration in medical imaging. Education: Ph.D., Physics, University of London B.A., Law, Ealing College B.Sc., Physics, University of Manchester Research Interests: Development of MRI technologies for studying brain function, cellular imaging, and translational applications in medicine. His lab, VUIIS, specializes in cutting-edge imaging modalities for disease diagnosis and treatment monitoring. Articles Overview: Recent work includes AI-driven imaging algorithms, spinal cord injury diagnostics, and amyloid-beta nanobody targeting. His studies span from basic physics to clinical translation, emphasizing cross-disciplinary collaboration.

• Robotics
• Sensors and Mechatronics
• IoT Applications
• +3 more

Robert Ross is an Associate Professor in the Department of Engineering at La Trobe University, specializing in robotics, IoT, and educational technology. He holds a PhD from La Trobe University and has developed innovative systems such as the WomBot for wombat burrow exploration and the Escape Room Decoder Box for game-based learning. His research emphasizes functional prototypes in embedded systems and environmental monitoring. Education: PhD, La Trobe University Bachelor of Computer Science (Hons), La Trobe University Bachelor of Electrical Engineering (Hons), La Trobe University Research Interests: Robotics and mechatronics for environmental and agricultural applications IoT systems for wildlife tracking and infrastructure monitoring Game-based learning through educational escape rooms Low-power embedded systems design His articles focus on interdisciplinary applications, blending robotics with sustainability, education, and wildlife conservation. Recent work includes IoT-enabled water quality monitoring, sewer infrastructure assessment, and pandemic-resilient teaching methods. Awards: Vice Chancellors Teaching Excellence Award Vice Chancellors Teaching Impact Award Grants & Projects: "Making STEM Inescapably Engaging using Escape Rooms" (2024–2026) "Robotic Based Sewer Pipe Condition Assessment" (2024–2027) Development of the RAMPS R&D group for real-world prototyping Labs/Teams: Director of the RAMPS R&D group (www.rampslaboratory.com) Collaborator on the WildTrack IoT wildlife tracking system

Jean-Yves GuillemautView profile

Senior Lecturer

• 3D Computer Vision
• 3D Reconstruction
• Computational Photography
• +4 more

Dr. Jean-Yves Guillemaut is a Senior Lecturer in 3D Computer Vision and Postgraduate Research Director at the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering at the University of Surrey. His research focuses on 3D reconstruction of complex dynamic scenes, particularly addressing challenges with glossy materials and uncontrolled outdoor environments. He collaborates with industry to apply his work in AR/VR, immersive content production, and free-viewpoint video. Education: He holds an MEng (hons), PhD, and is a member of professional bodies including MIEEE, MBMVA, and FHEA. His technical expertise spans computational photography, lightfield imaging, and artificial intelligence. Current PhD students: Matthew Bailey, Yue Zhang, Gianmarco Addari Laboratory affiliations: CVSSP Research interests include scene modeling from multi-view video, dynamic scene reconstruction, and applications in creative industries. Recent projects involve developing algorithms for illumination estimation, pedestrian tracking, and neural rendering. Grants and collaborations are centered on industry partnerships enhancing creative technology sectors. Future work aims to expand outdoor scene modeling and AI-driven medical imaging applications.

Robert SchickView profile

Academic

• Ecology
• Marine Biology
• Statistics
• +5 more

Dr Robert Schick is an Honorary Senior Research Fellow at the School of Mathematics and Statistics, University of St Andrews, affiliated with the Centre for Research into Ecological and Environmental Modelling (CREEM). His work bridges ecology, statistics, and information visualization, focusing on animal movement dynamics and human behavioral patterns. Key research interests include marine organism vulnerability to human disturbance, ecological connectivity, and a SULSA LEADERS-funded project examining smoking behavior through movement patterns. He has collaborated on projects involving cetaceans, right whales, and turtle ecology, emphasizing statistical modeling and conservation applications. Education details are not explicitly listed, but his career includes roles at CREEM and MASTS (Marine Alliance for Science and Technology for Scotland). Research has addressed topics such as prey dynamics in leatherback turtles, body condition in marine predators, and spatial modeling of habitat mosaics. Collaborations span institutions including Duke University, Stanford, and NOAA. His work contributes to UN Sustainable Development Goals, particularly life below water (SDG 14) and good health and well-being (SDG 3). Projects like MapMySmoke (funded by EPSRC) apply mobile technology to behavioral health interventions. No specific scientific awards are listed, but his contributions to ecological methodology and conservation science are well-documented. He advises on interdisciplinary projects and maintains active research in marine and human movement ecology.

Enrico PirottaView profile

Academic

• Marine Ecology
• Marine Mammal Biology
• Conservation Biology
• +4 more

Dr Enrico Pirotta is a Senior Research Fellow in the School of Biology and the Centre for Research into Ecological and Environmental Modelling (CREEM) at the University of St Andrews. His research focuses on quantitative ecology, particularly the ecology, behavior, physiology, and population biology of marine mammals and other marine predators. He develops and applies statistical tools to study species-environment interactions and anthropogenic impacts, aiming to inform conservation policies and sustainable resource management. His work emphasizes understanding how natural and human-induced stressors affect marine wildlife, from individual responses to population-level consequences. Key areas include gray whales’ space use, North Atlantic right whale survival, and ringed seal foraging behavior. He collaborates with interdisciplinary teams to bridge biological and statistical methodologies. Recent research highlights include Bayesian modeling of gray whale exposure to stressors, assessing tagging impacts on right whales, and linking seal foraging to environmental variability. Dr Pirotta’s publications span marine conservation, ecological statistics, and predator-prey dynamics, with a focus on translating findings into actionable conservation strategies. His research has been featured in journals like Ecology and Evolution , Conservation Physiology , and Journal of Cetacean Research and Management . He actively contributes to marine conservation initiatives and collaborates globally on projects addressing climate change and human-wildlife interactions.

Kathleen CullenView profile

Professor

• Neural Prosthetics
• Computational Neuroscience
• Multi-sensory Integration
• +3 more

Kathleen Cullen, PhD, is the Raj and Neera Singh Professor of Biomedical Engineering at Johns Hopkins University, with joint appointments in Neuroscience and Otolaryngology. She directs the Johns Hopkins Center for Hearing and Balance and founded the Systems Neuroscience and Neuroengineering Laboratory (SNNL). Her research focuses on understanding how the brain processes self-motion information through computational and neurophysiological methods, with translational applications in neural prosthetics and rehabilitation. Dr. Cullen received her bachelor’s degree in Biomedical Engineering and Neuroscience from Brown University, and her PhD in Neuroscience from the University of Chicago. Her postdoctoral training was at the Montreal Neurological Institute. She has held leadership roles including President of the Society for the Neural Control of Movement and membership on NASA’s Decadal Survey steering committee. She has authored over 250 lectures and serves on editorial boards of prestigious journals. Her lab’s three core research areas include: (1) fundamental neuroscience of self-motion prediction, (2) development of biomimetic neural prosthetics for vestibular dysfunction, and (3) advanced neurophysiological techniques to study vestibular pathways. Key achievements include demonstrating the cerebellum’s role in predictive motor control and advancing clinical applications of vestibular prosthetics. Dr. Cullen’s work bridges molecular neuroscience to clinical translation, with a focus on enhancing sensory-motor function through innovative technologies and rehabilitation strategies. Her contributions have been recognized through the William Dawson Chair in Systems Neuroscience and other accolades.

• Dairy Management
• Animal Reproduction
• Animal Genetics
• +4 more

Joe Domecq is an Academic Specialist in the Department of Animal Science at Michigan State University (MSU) and serves as the Dairy Management Coordinator at the Institute of Agricultural Technology (IAT). He holds a BS in Animal Science from California Polytechnic State University, San Luis Obispo; an MS from Virginia Tech; and a PhD from MSU. His roles include teaching, advising, and mentoring students in dairy management programs across two-year and four-year academic tracks. Education Background: BS: California Polytechnic State University, San Luis Obispo MS: Virginia Tech PhD: Michigan State University Research and Expertise: Joe focuses on dairy management, cattle genetics, and reproduction. He integrates agricultural technology into educational curricula and supports youth development through 4-H and dairy judging programs. His work emphasizes practical training, including internships, job placement, and competitive team coordination, to prepare students for dairy industry careers. He also leads initiatives for cultural access and belonging in agricultural education. Article Trends: His related work highlights achievements in dairy judging competitions, curriculum innovation, and youth outreach. Articles reflect his dedication to advancing dairy education, fostering student success, and promoting MSU’s role in national and international dairy programs. Scientific Awards: Joe received the Advising Award in 2017 for his excellence in student mentoring. Advising and Outreach: He coordinates the Collegiate, IAT, and State 4-H Dairy Cattle Judges Teams, including the North American Intercollegiate Dairy Challenge team which won a national title in 2019. He also manages the MSU Dairy Challenge program and the Ag Tech Dairy Judging Team, which succeeded at the All-American Dairy Show in 2017. His advising efforts extend to curriculum evaluation, internship coordination, and student job placement within the Dairy Management certificate program. Labs and Teams: Joe oversees MSU’s Dairy Management Program and collaborates with MSU Extension to develop resources for dairy education. He coordinates judging teams and supports events like the World Dairy Expo and North American International Livestock Exposition, fostering student engagement in competitive and professional environments.

Matthew BernardView profile

Associate Professor

• Immunotoxicology
• Immunopharmacology
• Flow Cytometry
• +4 more

Matthew Bernard is an Associate Professor in the Department of Pharmacology & Toxicology at Michigan State University (MSU) and Director of the MSU Flow Cytometry Core Facility. He holds a PhD in Immunology & Microbiology from the University of Rochester and a BS in Biochemistry from SUNY Geneseo. His research focuses on Immunotoxicology, Immunopharmacology, and flow cytometry applications, particularly in drug safety evaluation and assay development. Education: PhD in Immunology & Microbiology, University of Rochester (2004–2009); BS in Biochemistry, SUNY Geneseo (2000–2004). Research interests include immune cell characterization via flow cytometry, immunomodulatory drug effects, and translational studies in inflammation and immunity. He has pioneered flow cytometric assays for immunophenotyping, pharmacodynamic assessments, and viability analysis. Recent work spans veterinary immunology (e.g., ruminal immune responses in cattle), cancer biomarker discovery (extracellular vesicles), and anticancer drug mechanisms (e.g., proteasome enhancers targeting MYC). His lab supports MSU researchers with cutting-edge flow cytometry and cell sorting technologies. Funding: Secured a National Institute of Food and Agriculture grant (2022–2026) for agricultural and environmental research via flow cytometry. Labs/Teams: Leads the MSU Flow Cytometry Core Facility, providing state-of-the-art services and training across disciplines.