Find Academic Supervisors

• Super-Resolution Microscopy
• Cellular Biophysics
• Molecular Biology
• +3 more

Pierre Jouchet is a Research Fellow in the Department of Chemistry at Stanford University, affiliated with the School of Humanities and Sciences. He is associated with the CMAD, ChEM-H, and SSRL programs. His work focuses on advancing super-resolution microscopy techniques and understanding actin-driven cellular processes. Research interests include developing novel optical methods for high-resolution imaging of biological systems, with emphasis on single-molecule localization microscopy (SMLM), deep learning applications in microscopy, and the role of nanotopography in cell adhesion. His contributions bridge biophysics, optics, and biomedical engineering. Recent work explores time-modulated excitation, DMD-based microscopy, and PSF engineering to enhance imaging precision. Collaborations span interdisciplinary teams at Stanford and affiliated institutions. No scientific awards are listed, though his publications indicate significant contributions to microscopy innovation. Advising and grants details are not specified in available texts. His research is conducted within the Department of Chemistry labs and affiliated centers.

Anthony KleerekoperView profile

Senior Lecturer

• Databases
• Data Science
• Machine Learning
• +5 more

Dr Anthony Kleerekoper is a Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University, where he specializes in databases and data science education. As Pathway Lead for the Data Analyst path in the Digital Technology Specialist Degree Apprentice programme, he focuses on developing innovative teaching methodologies and automated assessment tools for SQL and database systems. Developed an automated assessment tool used across multiple university units Research interests span database pedagogy, machine learning, and agricultural technology Active in performance modeling and wireless sensor networks research His publications demonstrate expertise in distributed computing, signal processing, and educational technology. Notable works include: Deep learning performance models for distributed environments (2024) Automated SQL assessment frameworks (2024) UAV-based crop disease detection using hyperspectral imagery (2022) Longitudinal athlete performance analysis (2020-2021)

Abhijit MahalanobisView profile

Associate Professor

• Computational Sensing and Imaging
• Video/Image Processing
• Automatic Target Recognition (ATR)
• +3 more

Dr. Abhijit Mahalanobis is an Associate Professor at the University of Central Florida (UCF), affiliated with the Center for Research in Computer Vision (CRCV). Previously, he served as a Senior Fellow at Lockheed Martin and held academic positions at the University of Arizona and the University of Maryland. He earned his B.S. from UC Santa Barbara (1984) and M.S./Ph.D. from Carnegie Mellon University (1985/1987). His research focuses on computational sensing, imaging systems, and automatic target recognition (ATR). Notable contributions include work on correlation filters, compressive sensing, and 3D imaging. He has published over 170 papers, holds four patents, and co-authored a book on pattern recognition. Dr. Mahalanobis has received prestigious awards such as the IEEE Fellow (2015), OSA Fellow (2004), and SPIE Fellow (1997). He has been honored with the Lockheed Martin NOVA Award (2005), Scientist of the Year (2006), and Innovator of the Year (1999). He has served on editorial boards for journals like Applied Optics and Pattern Recognition , and chairs for OSA and SPIE conferences. His research spans topics including infrared target detection, compressive sensing architectures, and deep learning for target recognition. The CRCV lab, under his leadership, develops advanced algorithms for defense and surveillance applications.

Ronald MacLarenView profile

Professor

• Animal Behavior
• Animal Physiology
• Evolutionary Biology
• +7 more

Ronald MacLaren is Professor of Biology at Merrimack College, conducting interdisciplinary research at the intersection of animal behavior, evolutionary biology, and conservation. His dual affiliation with the Blue Ocean Society for Marine Conservation drives fieldwork on marine mammal behavior in the Gulf of Maine while mentoring undergraduate researchers through whale-watch vessel studies. His educational foundation includes: Ph.D. in Ecology and Evolutionary Biology from Indiana University B.A. in Biology from University of Maine, Farmington MacLaren's research program integrates ethological, evolutionary, and ecological approaches to investigate behavioral mechanisms in fishes and marine mammals. Primary focus areas include sexual selection dynamics in Poeciliid fishes (examining female mate choice, aggression, and visual signaling), marine mammal conservation in the Gulf of Maine ecosystem, and emerging ecotoxicology studies on pharmaceutical impacts. His work bridges laboratory experiments with field observations to address fundamental questions about behavioral evolution and anthropogenic environmental change. Analysis of his 15 most recent publications reveals consistent investigation of sexual selection mechanisms in fish, with increasing emphasis on environmental contaminants since 2016. The research demonstrates methodological rigor across controlled lab experiments (Poeciliid mate choice) and field ecology (whale behavior), showing particular expertise in dissecting visual signal function and female preference evolution. Recent work critically examines how human-introduced pollutants disrupt natural behavioral patterns. His research impact is recognized through sustained institutional support: Faculty Development Grants (2009, 2011-2015, 2017-2019) Center for Excellence in Teaching and Learning/Davis Grant (2015-2016) Paul E. Murray Fellowships (2011, 2016) Provost Innovation Fund Grants (2012-2015, 2018) MacLaren actively develops undergraduate research capacity through direct mentorship at Merrimack College and competitive Blue Ocean Society internships. His whale-watch naturalist role transforms commercial vessels into floating classrooms, generating original datasets while training students in marine mammal observation protocols. This model exemplifies community-engaged science that advances conservation through public education. As associate scientist with the Blue Ocean Society, he leads summer field operations collecting behavioral metrics on cetaceans in Stellwagen Bank National Marine Sanctuary. The program maintains long-term monitoring of population dynamics while developing innovative techniques for non-invasive behavioral assessment in open-ocean environments.

Harley R. MylerView profile

Professor

• Robotics
• Artificial Intelligence
• Environmental Monitoring
• +4 more

Dr. Harley R. Myler is a Professor in the Department of Electrical & Computer Engineering at Lamar University, serving as Department Chair. His research focuses on advanced robotics, including the SeaDog project for invasive species remediation and the Plumebot swarm for environmental plume monitoring. He also develops the War of the Worlds robot targeting invasive fire ants. His teaching emphasizes digital logic, computer architecture, and adaptive learning technologies like the LUEE Digital eLearning system. He holds the William B. and Mary G. Mitchell Endowed Chair and has won multiple awards for teaching and research, including Educator of the Year (1993) and Researcher of the Year (1988–1992). Education: PhD in Electrical & Computer Engineering (New Mexico State University, 1985), MSEE (New Mexico State University, 1981), BSC Chemistry with a double major in Electrical Engineering (Virginia Military Institute, 1975). Research Interests: Machine Consciousness, autonomous robotics, environmental monitoring systems, digital control engineering, and innovative pedagogical approaches in engineering education. Current projects include the AARISE-funded aquatic robot and the Plume Monitoring Swarm to map chemical plumes in water. Publications span over 30 years, including books like Fundamentals of Machine Vision and Fundamentals of Engineering Programming , as well as peer-reviewed articles on video quality analysis, genetic algorithms, and neural networks. He holds patents in traffic information systems and digital video measurement techniques. Awards also include Tau Beta Pi and Eta Kappa Nu honors, alongside the CRC Freshman Chemistry Award (1973). His work integrates robotics with environmental solutions and education technology, reflecting his dual focus on innovation and pedagogy.

Christian HofView profile

Professor

• Global Change Ecology
• Biodiversity
• Climate Change Impacts
• +5 more

Prof. Dr. Christian Hof is a Chair Holder in the Department of Global Change Ecology at the University of Würzburg. His research focuses on biodiversity responses to climate change, species distribution modeling, and macroecological patterns. He holds a PhD from the University of Copenhagen (2010) and has held roles including Junior Research Group Leader at the Technical University of Munich (2018–2023) and Guest Scientist at Senckenberg BiK-F. Key affiliations include the Ecological Society of Germany, Austria, and Switzerland, and the German Young Academy. **Education**: PhD, University of Copenhagen (2010): Dissertation on species distributions and climate change M.Sc. in Biology, University of Marburg (2006): Thesis on freshwater fauna macroecology Civilian Service at Jordsand Society (1998–1999) **Research Interests**: Climate change impacts on biodiversity Physiological and dispersal constraints on species ranges Macroecological patterns in freshwater and terrestrial systems Protected area effectiveness and conservation strategies **Awards**: Horst-Wiehe Award (2019) Membership in German Young Academy (2015–2020) Supervisory Award (2021) **Grants & Funding**: Bavarian Network for Climate Research (BayKLiF) funding for junior research group e-fellows.net Scholarship (2004–2010) **Labs/Teams**: Leads the Hof Research Associates Team at the University of Würzburg, focusing on global change ecology and biodiversity conservation.

• Computer Vision
• Machine/Deep Learning
• Complex Networks
• +1 more

MOURCHID Youssef is a Researcher-Lecturer at CESI (Campus Dijon), affiliated with the Engineering and Numerical Tools research team. He holds a PhD in Computer Science from Mohammed V University, Bourgogne University, and Osaka University (2014–2019), and completed a postdoctoral fellowship at Thales & IMS Lab, Bordeaux INP (2019–2020). His academic background includes a Master’s in Computer Science and Telecommunications from Mohammed V University (2012–2014). Roles: Researcher-Lecturer, Head of Building-Environment Chair, and reviewer for conferences like IEEE Image Processing and EGC. Teaching: Teaches computer science disciplines (Programming, AI, NLP) to engineering students and job applicants via courses, practical work, and active pedagogy. Research Interests: Focuses on Computer Vision, Machine/Deep Learning, Complex Networks, and Digital Healthcare . Key projects include applying graph neural networks for patient rehabilitation assessment, AI-driven impact fall detection, and satellite image colorization using GANs. His work bridges healthcare technology and multimedia analysis. Publications: Over 25+ peer-reviewed papers (6 journal articles, 13 conferences) spanning spatio-temporal graph networks, multilayer network models, and GAN applications. Recent work emphasizes healthcare applications like hypotension prediction and multimodal fall detection. Advising: Supervised master’s and PhD students on topics like GANs for image super-resolution, multilayer network analysis of movies, and AI for medical monitoring.

Daniel GillView profile

Senior Lecturer

• Social Perception
• Cognitive Psychology
• Facial Morphology
• +3 more

Dr. Daniel Gill is a Senior Lecturer in the Department of Psychology at the University of Winchester. He holds a BSc in Physics (Magna cum laude) from Ben-Gurion University, Israel; an MSc in Computational Neuroscience and a PhD in Statistics from The Hebrew University of Jerusalem. He completed a Postdoctoral Research Associate position at the Institute of Neuroscience and Psychology, University of Glasgow, UK. His research focuses on cognitive mechanisms of social perception, particularly social inference from facial morphology, dynamics, and coloration. He develops innovative psychophysical methods and has pioneered techniques like Bubble-Warp for visualizing mental representations. Earlier work includes machine learning applications in shape recognition and biomedical signal analysis, earning a Best Paper Award in 2007. Research Interests: Social perception and cognition Facial dynamics and their role in social interaction Machine learning in biomedical signal processing Gender differences in facial perception Publications highlight trends in facial morphology analysis, dynamic gesture effects on social judgment, and cross-cultural studies in social evaluation. His work bridges psychology, neuroscience, and computational methods, emphasizing interdisciplinary approaches. Awards include recognition for shape classification research. Advising/Grants: No specific advisees or grants listed. Collaborations focus on interdisciplinary projects.

Katherine R. GoodrichView profile

Professor

• Plant-Insect Interactions
• Floral Scent Chemistry
• Pollination Ecology
• +3 more

Katherine R. Goodrich is a Professor and Chair of the Biology Department at Widener University’s College of Arts & Sciences. Her research focuses on plant-insect interactions, particularly floral scent chemistry, pollination ecology, and ecological mimicry. She actively involves undergraduates in research, emphasizing hypothesis-driven learning and grant-writing skills. Education: PhD in Plant Biology (2008), University of South Carolina Research Interests: She investigates how plants use scent, color, and morphology to communicate with insects, including floral mimicry in pawpaw pollination and biomechanical adaptations in plant structures. Her work bridges plant chemistry, ecology, and evolutionary biology. Awards & Grants: Recipient of the Cynthia H. Sarnoski Science Faculty Fellowship (2019-2021), Widener Faculty Institutional Leadership Award (2021), and multiple research grants from Widener University. Her leadership in diversity, equity, and inclusion initiatives has shaped campus policies. Service & Media: Presented invited lectures at Harvard University and contributed to media discussions on pawpaw biology. Leads campus efforts in DEI initiatives, serving on Faculty Council committees.

Rafael KleimanView profile

Professor

• Solar Energy
• Photovoltaics
• Photonics Engineering
• +5 more

Rafael Kleiman is a Professor and Department Chair of Engineering Physics at McMaster University. He leads the Lab for Advanced Photovoltaic Research and focuses on solar energy, quantum materials, and satellite-based optical communications. His work bridges photovoltaics innovation with sustainable energy solutions, emphasizing multijunction solar cells, III-V/Si integration, and advanced characterization techniques. Education: Ph.D. (Cornell University), M.Sc. (Cornell University), S.B. (MIT). He teaches ENGPHYS 2QM3: Introduction to Quantum Mechanics . Research Interests: Photovoltaics (III-V/Si multijunctions, light trapping), quantum materials for computing, and satellite optical communications. Key projects include low-cost high-efficiency solar cells and next-gen photonic devices. His lab develops novel materials and architectures for energy and space applications. Grants & Recognition: Secured NSERC Alliance Grants (2024) and a NRC award (2021) for quantum and satellite communication projects. His work advances Canada's digital infrastructure and sustainable energy goals. Lab & Teams: Directs the Lab for Advanced Photovoltaic Research, fostering interdisciplinary collaboration in energy and micro-nano systems. Active in McMaster's microelectronics and photonics research clusters.

• Lipid Metabolism
• Organelle Contact Sites
• ER Homeostasis
• +4 more

Dr. Rupali Banerjee is an Assistant Professor in the Department of Cell Biology at UT Southwestern Medical Center. Her research focuses on lipid metabolism, organelle contact sites, and cellular stress responses using Drosophila and mammalian models. Education: PhD in Biology (2015). Research Focus: Investigates lipid droplet biogenesis, ER-endolysosomal contact sites, and metabolic regulation. Key discoveries include Snazarus/SNX25 roles in autophagy and Mdm1-mediated lipid droplet formation at ER contact sites. Recent work explores actin cytoskeleton regulation of adipocyte size and inter-organ nutrient trafficking. Publication Trends: Her work (2003-2024) spans pigmentation genetics to advanced proximity labeling techniques. Recent studies characterize metabolic rewiring in lipid-depleted systems and ER-associated lipoprotein homeostasis, with consistent focus on membrane contact site biology. Model Systems: Leverages Drosophila genetics, yeast models, and mammalian cell systems to study evolutionarily conserved mechanisms of metabolic regulation and organelle dynamics.

Travis VandergriffView profile

Physician Scientist

• Skin Cancer
• Melanoma
• Dermatopathology
• +3 more

Dr. Travis Vandergriff is a Physician Scientist in the Department of Dermatology at UT Southwestern Medical Center, specializing in Dermatology and Dermatopathology. He graduated summa cum laude from the University of Texas at Austin with majors in Plan II Honors, Linguistics, and Spanish Literature, followed by medical training at Baylor College of Medicine with highest honors. He completed his dermatology residency at UTSW as Chief Resident and a Dermatopathology fellowship under Dr. Clay Cockerell. Currently, he is pioneering the development of UT Southwestern's Dermatopathology service. His research focuses on skin cancer (particularly melanoma), diagnostic dermatopathology, and medical education for future dermatologists. Key areas of investigation include cutaneous lymphoma diagnosis, skin cancer progression mechanisms, and clinical dermatology practice improvements. His work bridges clinical practice and laboratory research, addressing both diagnostic challenges and therapeutic advancements in skin diseases. Dr. Vandergriff’s publications span 2007–2017, reflecting his contributions to understanding cutaneous malignancies, autoimmune skin conditions, and novel therapeutic approaches. His clinical interests emphasize early detection strategies for skin cancers and optimizing patient outcomes through evidence-based practices. While no formal academic awards are listed, his active research and clinical contributions highlight his commitment to advancing dermatological science and education. In addition to his clinical and academic roles, Dr. Vandergriff collaborates with multidisciplinary teams to improve diagnostic accuracy in dermatopathology and participates in trials evaluating scar prevention techniques. His work underscores the integration of clinical dermatology, pathology, and translational research to address complex skin disorders.

Evan LucasView profile

Assistant Professor

• Machine Learning
• Signal Processing
• Environmental Sensing
• +4 more

Evan Lucas serves as an Assistant Professor in the Department of Computer Science at Michigan Technological University, with research activities centered at the Great Lakes Research Center (GLRC). His work bridges theoretical machine learning with practical environmental monitoring applications, focusing on signal processing systems for real-world deployment. Dr. Lucas specializes in Machine Learning for Signal Processing with particular emphasis on Environmental Sensing applications. His technical portfolio includes Image Enhancement algorithms for underwater systems, Acoustic Signal Processing for marine environments, and cutting-edge research on Large Language Model Memorization and Watermarking techniques. His methodologies often combine classical signal processing with modern deep learning approaches to solve challenging environmental monitoring problems. Analysis of his recent publications reveals strong interdisciplinary connections between computer science and environmental engineering. His work shows increasing focus on AI security aspects, particularly in developing watermarking solutions for large language models, while maintaining active contributions to underwater acoustic communication systems and indigenous language preservation technologies. Through his GitHub presence with 28 repositories and 104 starred projects, Dr. Lucas demonstrates substantial software engineering contributions to the research community. His projects include practical implementations like the batch-image-enhacement pipeline and specialized tools for Ojibwe dialect analysis, indicating both technical depth and commitment to real-world applications.

Sue BertramView profile

Professor

• Sexual Selection
• Evolutionary Biology
• Animal Behavior
• +3 more

Dr. Sue Bertram is a Professor in the Department of Biology at Carleton University, affiliated with the Faculty of Science. She holds degrees from Trent University (B.Sc., M.Sc.) and Arizona State University (Ph.D.). Her research focuses on evolutionary biology, particularly the maintenance of genetic variation in sexually selected traits using field crickets as a model organism. Key themes include sexual selection mechanisms, ecological interactions, and behavioral adaptations. Her work integrates laboratory and field studies to address theoretical inconsistencies in sexual selection theory. The Bertram Lab explores topics such as nutrient-driven behavior, signal efficacy, and cognitive performance in insects. Recent projects include analyzing cricket acoustics via machine learning and investigating dietary impacts on morphology and signaling. Dr. Bertram is actively involved in online education innovation, co-authoring guides for pandemic-era teaching. She maintains an active lab website and is accessible via Twitter @sue_bertram. Her research is supported through collaborations with institutions like the Department of Biology and the Carleton University Greenhouses. Publications span journals such as Animal Behaviour , Behavioural Processes , and Advances in the Study of Behavior . She contributes to interdisciplinary discussions at the intersection of nutrition and behavior. Office: CTTC 4631; Lab: CTTC 4440G.

Elke BuschbeckView profile

Professor

• Neuroethology
• Insect Neurobiology
• Evolutionary Biology
• +3 more

Elke Buschbeck is a Professor in the Department of Biological Sciences at the University of Cincinnati, leading the Buschbeck Lab. Her research focuses on the evolution and development of arthropod visual systems, particularly diving beetle larvae and other insects. She holds a PhD in Ecology and Evolutionary Biology from the University of Arizona. Her work integrates neuroethology, molecular biology, and optics to understand how sensory systems adapt to ecological niches. Buschbeck has secured multiple National Science Foundation grants, including a $600,000 award (2015–2019) studying diving beetle larval visual systems, and a $499,999 grant (2019–2023) exploring coordinated eye growth. She also serves as a PI for equipment grants, such as acquiring a BZ-X700 Fluorescence Microscope. Her research interests span neuroethology, insect neurobiology, and evolutionary developmental biology. Key projects include investigating lens-retina coordination in beetle larvae and using RNAi to study gene roles in eye development. She collaborates with institutions like Wayne State University and Cornell University. Education: PhD, Ecology and Evolutionary Biology (University of Arizona) Grants: NSF IOS-1456757, IOS-1856241, and others Lab Members: Mentors over 15 graduate and undergraduate students Awards: Recognitions in journals like F1000Prime and Nature Genetics Research Highlights Buschbeck’s lab has pioneered techniques like autofluorescence-based eye exams for invertebrates and developed a micro-ophthalmoscope for studying tiny eyes. Her work bridges molecular genetics, physiology, and ecology, addressing how ancient genes shape novel eye structures. Recent findings include bifocal lenses in diving beetles and polarization sensitivity in aquatic larvae. Grants & Funding NSF IOS-1456757 ($600,000): Diving Beetle Larval Visual System NSF IOS-1856241 ($499,999): Coordinated Eye Growth UC Internal Grant ($49,407): Fluorescence Microscope Acquisition Labs & Teams Her lab collaborates with computer science students on eye development simulations and mentors students in molecular biology, neurophysiology, and microscopy. Projects include studying photoreceptor health, lens protein knockdowns, and arthropod vision evolution.