David J. Crandall is the Luddy Professor of Computer Science at Indiana University's Luddy School of Informatics, Computing, and Engineering. He serves as Director of the Luddy Artificial Intelligence Center and leads the IU Computer Vision Lab. With joint appointments in Informatics, Cognitive Science, Data Science, and Statistics, his work spans computer vision, machine learning, and AI. He holds a Ph.D. from Cornell University and previously worked at Eastman Kodak Research Labs. His research focuses on developing statistical and machine learning methods to analyze visual information, including object recognition, human activity analysis in video, 3D reconstruction, social media mining, and computational studies of visual attention. Key applications include egocentric vision systems, social robotics for healthcare, and cross-disciplinary collaborations with developmental psychology. Recent publications demonstrate strong emphasis on egocentric video analysis (Ego4D), human-robot interaction (CHI/HRI), and explainable AI (IJCAI). Medical imaging, nanoscale security systems, and computational social science represent emerging interdisciplinary directions. His work consistently integrates deep learning with real-world applications in health, environmental monitoring, and cultural analytics. Tracy M. Sonneborn Award (2024) Distinguished Member of the ACM (2023) Luddy Professorship (2021) NSF CAREER Grant (2013) Trustees Teaching Award (2017) He has advised over 20 Ph.D. graduates, with current students working on computer vision, robotics, and AI ethics. Major grants include $20M for the NSF AI Institute on Engaged Learning, $4.4M for trusted AI research, and funding from NIH, Google, ONR, and NASA. He directs the Computer Vision Lab and collaborates with Selma Sabanović's robotics group on social agents for older adults.
Florian Shkurti is an Assistant Professor in the Department of Computer Science at the University of Toronto Mississauga (UTM), affiliated with the UofT Robotics Institute, Vector Institute, and Acceleration Consortium. His research focuses on robotics, machine learning, and computer vision, emphasizing safe and effective autonomous systems in dynamic environments. He directs the Robot Vision and Learning (RVL) lab, exploring areas like environmental monitoring, autonomous navigation, and mobile manipulation. Research Interests: His work spans robotics, machine learning, and computer vision. Key areas include robot perception, planning under uncertainty, safe exploration, imitation learning, and applications in field robotics, autonomous vehicles, and chemistry lab automation. He develops methods enabling robots to perceive, reason, and act safely in collaboration with humans. Publications: Recent work includes advancements in safe multitask learning, interactive crowd navigation, and diffusion models for trajectory planning. His research bridges theoretical foundations with real-world applications in environmental science and autonomous systems. Affiliations: Faculty Member, UofT Robotics Institute; Faculty Affiliate, Vector Institute; Faculty Member, Acceleration Consortium. He also holds positions at UTM's Mathematical & Computational Sciences department. Teaching: Courses include Imitation Learning for Robotics, Neural Networks, and Mobile Robotics. He emphasizes hands-on experience with autonomous systems through projects involving RC cars and simulation tools. Labs & Teams: Leads the RVL lab, collaborating on projects like RoboCulture (automated biological experimentation) and SICNav (safe crowd navigation systems). The lab focuses on cross-disciplinary robotics solutions for real-world challenges.
Nancy Pollard is a Professor at Carnegie Mellon University, affiliated with both the Robotics Institute and the Computer Science Department. Her research focuses on understanding physical interaction with the environment through robotics and computer graphics, particularly in areas like dexterous manipulation, human motion analysis, and soft robotics. She explores how human examples can inform robot control policies and create natural-looking animations. Her work bridges robotics and graphics to solve challenges such as optimizing motion for humanoid robots and improving the realism of animated hands. Key projects include developing fast physically plausible motion techniques, studying hand motion complexity, and creating intuitive tools for modeling hand-object interactions. She also investigates the physical correctness thresholds in graphics and the design of affordable soft robotic hands for real-world applications like agriculture. Recent publications highlight advancements in motion retargeting for anthropomorphic manipulations, co-optimization of soft robotic hand design and control, and frameworks for sensor placement in soft hands. Her research emphasizes human-inspired approaches to robotics and the application of biomechanical insights to improve robotic dexterity. Pollard advises students such as Arjun Lakshmipathy and collaborates on projects involving both academic and industrial applications. Her work has been supported by grants focused on robotics design and simulation-based manipulation capture.
Franziska Mueller is a Research Scientist at Google Zurich , specializing in Augmented Perception . Prior to joining Google, she earned her Ph.D. in Computer Science at Saarland University under the supervision of Prof. Dr. Christian Theobalt, focusing on real-time hand reconstruction from RGB and depth images. Ph.D. in Computer Science (2016-2020) at Saarland University Master’s and Bachelor’s in Computer Science at Saarland University Research visits at Stanford University (2018) and Reality Labs Research (2019) Her research emphasizes the integration of model-based techniques and machine learning components for real-time 3D hand pose estimation, occlusion handling, and hand-object interaction tracking. Key contributions include methods for single-camera reconstruction and datasets like HandSeg. Scientific Awards : Dr. Eduard Martin Award (2021) Google PhD Fellowship (2017) Günter-Hotz-Medal (2016) Bachelor Award (2015) Völklinger Abiturpreis (2012)
Hadi Daneshmand is an Assistant Professor of Computer Science at the University of Virginia, specializing in theoretical machine learning. Prior to joining UVA, he completed postdoctoral research at FODSI (jointly hosted by MIT and Boston University), Princeton University, and INRIA Paris following his 2020 PhD in Computer Science from ETH Zurich. Education Ph.D. in Computer Science, ETH Zurich, 2020 His research bridges computational perspectives and neural network theory, focusing on theoretical guarantees for deep learning systems. Key interests include understanding neural network mechanisms through optimization frameworks, foundations of machine learning, and stochastic processes in learning systems. His work reveals how neural networks implement computational primitives like gradient descent and optimal transport through architectural components. Recent publications demonstrate a cohesive trajectory analyzing transformers' computational capabilities, batch normalization's theoretical properties, and optimization dynamics in deep learning. His studies consistently establish formal connections between neural architectures and classical optimization methods, particularly in in-context learning scenarios. Scientific Awards Stanford CPAL Rising Star Award Spotlight award at ICML In-context Learning workshop (2024) Postdoc fellowship of the Foundation of Data Science Institute (FODSI) Early Postdoc Mobility grant from SNSF Best poster award at Max Planck ETH deep learning workshop (2016) Reviewer awards for ICML (2022, 2019) and NeurIPS (2020) Dr. Daneshmand actively mentors graduate students, with advisees including PhD candidates at ETH Zurich who have secured positions at Harvard, Yale, Meta, and NVIDIA. His research is supported by competitive grants including the SNSF Early Postdoc Mobility award and FODSI fellowship. He serves the community as Area Chair for NeurIPS 2023-2024 and ICML 2025, and regularly reviews for top machine learning conferences and journals. He teaches specialized courses including "Neural Networks: A Theory Lab" at UVA, emphasizing experimental-theoretical connections in neural computation through hands-on coding exercises.
Rey Ramirez, MD is an Assistant Professor of Orthopaedics & Rehabilitation at Yale School of Medicine, specializing in Hand & Upper Extremity Surgery with a focus on pediatric hand conditions. He joined Yale in 2022 after completing his pediatric hand surgery fellowship at Shriners Hospital of Philadelphia. Dr. Ramirez is affiliated with the Hand & Upper Extremity Surgery division and Pediatric Orthopaedics within the Department of Orthopaedics & Rehabilitation. Dr. Ramirez's educational background includes: BS in Biology from California Institute of Technology (2003) MD from David Geffen School of Medicine at UCLA (2007) Internship at Keck School of Medicine - Los Angeles County Medical Center (2008) Residency at Keck School of Medicine - Los Angeles County Medical Center (2012) Hand Surgery Fellowship at University of Texas Southwestern (2013) Pediatric Hand Surgery Fellowship at Shriners Hospital of Philadelphia (2014) Dr. Ramirez's primary research interests focus on pediatric hand surgery, including congenital hand conditions, brachial plexus birth injuries, and arthrogryposis. His clinical expertise spans pediatric hand reconstruction, microsurgery, and treatment of conditions such as amniotic band syndrome, carpal tunnel syndrome in children, and peripheral nerve injuries. Additionally, he has a strong interest in diversity and inclusion within orthopedic surgery, examining gender and racial disparities in the field and factors influencing specialty choice among medical students and residents. His recent publications demonstrate a dual focus on clinical pediatric hand surgery techniques and diversity in medicine. The surgical publications often address innovative approaches to complex pediatric hand conditions, while his diversity-focused work examines gender disparities in orthopedic surgery and physical medicine, contributing to important conversations about inclusion in medical specialties. His work spans both original research articles and textbook chapters on hand surgery topics. Dr. Ramirez has received several professional recognitions: "Top Research Study" award for his work on women's experiences in orthopedics versus physical medicine (2024) Top Doc for Kids recognition (2020) Best "Surgical Pearl" Paper award from the Pediatric Hand Study Group (2014) Dr. Ramirez is actively involved in mentoring medical students and residents, currently advising Tamanna Patel, Claire Donnelley, Louise Atadja, and Peter Laub. His educational contributions include developing virtual curricula for medical student orthopedic education and examining methods to improve resident performance on standardized examinations. While specific grant funding isn't detailed in the provided information, his research activities suggest involvement in both clinical outcomes studies and healthcare disparities research. Within the Yale Orthopaedics & Rehabilitation department, Dr. Ramirez contributes to the Hand & Upper Extremity Surgery and Pediatric Orthopaedics divisions. His work intersects with the department's broader research initiatives including the Liu Lab for Translational Orthopaedic Research and the 3D Collaborative for Medical Innovation (3DC), though specific lab leadership isn't mentioned in the provided information.
Jay Henderson is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, leading the Human-Computer Interaction (HCI) Lab. His research focuses on quantitative HCI, measuring human performance with emerging technologies such as mixed reality and generative AI. He holds a PhD from the University of Waterloo and has held roles including Postdoctoral Fellow at Carleton University and Senior Research Scientist at Huawei Technologies Canada. Education: PhD in Computer Science, University of Waterloo (2021) BSc Hons in Computer Science (minors in Mathematics and Psychology), Mount Allison University (2016) Research Interests: Henderson’s work bridges computer science with psychology and mathematics, emphasizing objective measurement of user interactions. Key areas include mixed reality productivity, generative AI interfaces, gesture-based input, and multimodal feedback systems. His quantitative approach ensures practical insights for technology design. Key Grants & Awards: NSERC Discovery Grant ($155,000 over 5 years) NSERC Discovery Launch Supplement ($12,500) David R. Cheriton Graduate Scholarship ($20,000 over 2 years) Teaching & Supervision: Teaches courses like COMP 4303 (AI for Games) and supervises multiple graduate and undergraduate researchers. Notable supervisees include Daniel Jo (MSc) and Arunav Saha (BSc Honours). Service Contributions: Served on ACM committees including Graphics Interface and CHI Late Breaking Work. Acted as Virtual Chair for ACM ASSETS 2024 and contributed to ACM’s name change policy as a transgender advocate.
Yuankai (Kenny) Tao is an Associate Professor of Biomedical Engineering at Vanderbilt University's School of Engineering and an SPIE Faculty Fellow. He directs the Graduate Studies program in Biomedical Engineering and leads research in optical imaging systems for clinical diagnostics and therapeutic monitoring in ophthalmology, gastroenterology, and oncology. His lab develops technologies like intraoperative OCT and SECTR, focusing on noninvasive subcellular visualization and biomarker monitoring. Collaborations span engineering, basic sciences, and medicine to translate innovations into clinical tools. Education: Ph.D., Biomedical Engineering, Duke University M.S., Biomedical Engineering, Duke University B.S.E., Biomedical Engineering and Electrical Engineering, Duke University Research Interests: Biomedical optics, optical coherence tomography (OCT), image-guided surgery, therapeutic monitoring, big data analytics, and high-throughput imaging for drug discovery. His work bridges engineering and medicine, emphasizing real-time feedback systems and interdisciplinary innovation. Grants & Labs: Director of the Vanderbilt Institute for Surgery and Engineering (VISE)-affiliated lab, focusing on surgical imaging and translational research. Projects include automated instrument tracking, SECTR systems, and AI-driven imaging analysis. Collaborations involve clinicians and researchers across disciplines.
Xugui Zhou is an Assistant Professor jointly appointed in the Department of Electrical and Computer Engineering and the Department of Computer Science at Louisiana State University (LSU). He holds a Ph.D. in Electrical and Computer Engineering from the University of Virginia (2024), where he worked under Prof. Homa Alemzadeh. Prior to his Ph.D., he earned an M.Eng in Control Science and Engineering and a B.Eng in Automation from Shandong University. Before joining UVA, he was a Senior Engineer at NR Research Institute, State Grid of China. His research focuses on the intersection of system dependability, security, and control theory, with applications in autonomous systems and healthcare. Key interests include engineering resilient autonomous vehicles, mitigating adversarial attacks on cyber-physical systems (CPS), and enhancing safety through formal methods and machine learning. He leads a research lab with openings for Ph.D. students and interns. Zhou is actively involved in academic service, serving on program committees for DSN'26, AsiaCCS'26, and ICCPS'25, among others. He also chairs workshops like DSML'25 and organizes conferences such as ICCPS'24. His recent awards include the UVA Engineering Endowed Graduate Fellowship (2023) and selection as a Rising Star in Cyber-Physical Systems (2023). His teaching includes courses like AI-Driven Autonomous Driving Systems and ML for CPS Security at LSU. He has extensive experience in teaching and research supervision, emphasizing hands-on projects and interdisciplinary collaboration.
Ibo van de Poel is a Full Professor at Delft University of Technology , within the Faculty of Technology, Policy and Management , specifically in the Section Philosophy . He holds the prestigious Antoni van Leeuwenhoek professorship , awarded to excellent young researchers, and is a leading figure in Design for Values , engineering ethics , and technology as social experimentation . Education: Van de Poel studied Philosophy of Science, Technology and Society at the University of Twente , with a propaedeutic exam in Mechanical Engineering . He earned his PhD in Science and Technology Studies (STS) in 1998 from the University of Twente , under the supervision of Prof. Dr. A. Rip. Research Interests: His research spans three major themes: Design for Values : Investigating how moral values can be integrated into engineering design, including empirical studies on how engineers handle value conflicts. Moral Responsibility in R&D Networks : Exploring the "problem of many hands" in large-scale research and development projects, developing formalizations and empirical methods. Ethics of Emerging Technologies : Examining ethical issues in new technologies like nanotechnology and synthetic biology , with a focus on technology as social experimentation . Publications and Impact: Van de Poel has authored over 25 international peer-reviewed articles and 15 book contributions . He is co-editor of major works including the Handbook of Philosophy of Technology and the Engineering Sciences (Elsevier, 2009), Philosophy and Engineering (Springer, 2010), and Ethics, Engineering and Technology (Wiley-Blackwell, 2011). His recent work includes leading the VICI project "New Technologies as Social Experiments" , funded by NWO. Scientific Awards: Antoni van Leeuwenhoek Professorship (TU Delft) VICI Grant for "New Technologies as Social Experiments: Conditions for Morally Responsible Experimentation" Advising and Grants: Van de Poel has led and contributed to multiple high-impact projects, including: NWO Project on "Moral Responsibility in R&D Networks" (2007–2012) EU Project on ethical issues in synthetic biology (2009–2011) VICI Project on "New Technologies as Social Experiments" (ongoing) He has also supervised PhD students and contributed to educational innovations, including the development of the AGORA web-based program and the first Dutch textbook on ethics and technology . Labs and Teams: Van de Poel is an active member of 4TU.Ethics & Technology , a federation of Dutch technical universities focused on ethics and technology. He contributes to the Simon Stevin Series in the Ethics of Technology and participates in various reading groups and PhD communities within the network.
Lee Miller is a Professor in the Department of Neurobiology, Physiology, and Behavior at the University of California, Davis, College of Biological Sciences. His research integrates neural engineering, physiology, and computational methods to develop communication restoration technologies and investigate sensory processing mechanisms. His primary research interests include neural engineering for speech neuroprosthetics, electrophysiological analysis of speech production, auditory neuroscience, and geometric approaches to neuromuscular signal decoding. He employs surface electromyography (EMG), electroencephalography (EEG), and computational modeling to study brain-machine interfaces for speech restoration and multisensory integration. Recent publications reveal a dominant focus on EMG-based speech neuroprostheses, with geometric and topological analysis of neuromuscular signals emerging as a key methodology. His lab has pioneered non-invasive approaches to speech articulation decoding, created standardized EMG databases, and investigated neural mechanisms of attention in speech-in-noise processing. This work bridges engineering innovation with fundamental neuroscience to address communication disorders. Professor Miller leads the Miller Lab at UC Davis, which specializes in neural engineering for communication restoration. The lab develops real-time speech synthesis systems from neural signals and investigates the physiological basis of speech production and perception using multimodal recording techniques.
Susan Holmes is Professor at the School of Media, Language and Communication Studies at the University of East Anglia (UEA), where she joined as Reader in Television in 2007 and was appointed to Professor in 2018. She is an active member of several research groups including Media Equality, Film, Television and Media, Gender and Its Intersections Steering Committee, and HealthUEA. Her work spans television studies, celebrity culture, and feminist approaches to eating disorders. Professor Holmes received her academic training at the University of Sussex (BA in English and Media Studies), followed by an MA in Film from the University of Southampton, and completed her PhD on British film and television in the 1950s at the same institution. Prior to joining UEA, she taught Media and Cultural Studies at the Southampton Institute (now Southampton Solent University) and television and film at the University of Kent. Her research focuses on several interconnected areas that challenge traditional disciplinary boundaries. In television studies, she has made significant contributions to understanding British television history, particularly through her books 'British TV and Film in the 1950s' and 'Entertaining TV: the BBC and Popular Programme Culture in the 1950s,' where she challenges canonical ideas about early BBC television. Her work on reality TV examines historical development, generic labeling, and celebrity. Since 2014, she has conducted important empirical research on feminist approaches to eating disorders, analyzing media representations and working directly with people with lived experience. A key focus of this research examines how feminist approaches are neglected in contemporary eating disorder treatment, with implications for both clinical practice and cultural understanding. She co-founded the influential Celebrity Studies journal in 2010 and edited it for the first eight years of its publication. Analysis of Professor Holmes' recent publications reveals a clear trajectory where her expertise in media and television studies converges with her feminist scholarship on eating disorders. Her most recent work (2023-2025) increasingly focuses on cross-cultural applications of feminist approaches to eating disorders (including work in China), the use of innovative methodologies like Photovoice, and examinations of therapeutic alliance in treatment settings. Simultaneously, she continues to analyze contemporary media representations, particularly focusing on motherhood, true crime television, and reality TV through feminist lenses. This dual focus demonstrates how media representations shape cultural understandings of both celebrity and health conditions. Professor Holmes' significant contributions to academia have been recognized with several prestigious awards: Senior Fellowship from Advance HE (2024) UEA engagement award (2017) ALPSP award nomination for Celebrity Studies as best new journal (2011) She currently runs the Feminist Media Studies research cluster at UEA and is actively supervising postgraduate research in areas including popular television, television/film history, British TV history, stardom/celebrity, and feminist approaches to eating disorders. Her current major research project is the 'ALLIANCE study' (2024-2026), funded by the National Institute for Health and Care Research, which aims to develop practice and policy recommendations to support effective therapeutic alliance in inpatient treatment for eating disorders. This builds on her earlier British Academy-funded research on 'Entertaining Television: British TV, the BBC and Popular Programme Culture in the 1950s' (2007-2008). Professor Holmes plays a significant role in the academic community through her editorial work, serving on the boards of journals including Archives of Psychology, Big Data & Society, and Critical Studies in Television, and previously as co-founder and editor of Celebrity Studies. She has also been active in media engagement, contributing expert commentary on topics ranging from Netflix's portrayal of eating disorders to Celebrity Big Brother.
Hanbyul Joo is an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University (SNU). Prior to joining SNU, he was a Research Scientist at Facebook AI Research (FAIR) in Menlo Park. He completed his Ph.D. in the Robotics Institute at Carnegie Mellon University, working with Yaser Sheikh, and received his M.S. in Electrical Engineering and B.S. in Computer Science from KAIST, Korea. Dr. Joo's educational journey began at KAIST, where he earned both his Bachelor's and Master's degrees. He then pursued his Ph.D. at Carnegie Mellon University's Robotics Institute, completing his dissertation titled "Sensing, Measuring, and Modeling Social Signals in Nonverbal Communication." His doctoral work focused on developing the Panoptic Studio, a unique sensing system with over 500 synchronized cameras for capturing social interactions. Dr. Joo's research primarily focuses on endowing machines and robots with the ability to perceive and understand human behaviors in 3D . His goal is to build "social Artificial Intelligence" that can interact with humans using social signals (body languages). He pursues this direction using data-driven methods where data is collected by measuring the wide spectrum of social signals transmitted during interpersonal social interaction. His research spans computer vision, machine learning, computer graphics, and robotics , with particular emphasis on 3D human pose estimation, human-object interaction, and social signal processing. His recent publications demonstrate a clear trend toward leveraging diffusion models for 3D reconstruction and generation tasks, with a focus on human-centric applications. His work bridges the gap between 2D image understanding and 3D scene reconstruction, often utilizing pre-trained models to overcome data limitations. The research consistently addresses fundamental challenges in understanding human behavior, interaction with objects, and social dynamics in 3D space. Dr. Joo is a recipient of several prestigious awards including the Samsung Scholarship and the CVPR Best Student Paper Award in 2018 . His paper "Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies" received this honor at CVPR 2018. His research has been widely recognized in top computer vision and AI conferences, with multiple oral presentations at venues like CVPR, ICCV, and ECCV. Dr. Joo actively mentors a large group of students, with approximately 15 current students working toward MS/PhD degrees under his supervision. His lab, the SNU VCLab, focuses on cutting-edge research in computer vision and graphics. He has secured significant research funding through his work, though specific grant details aren't provided on his website. Dr. Joo frequently serves as an area chair for major conferences including CVPR, ICCV, and NeurIPS, demonstrating his standing in the academic community. Dr. Joo leads the SNU VCLab, which has developed several notable datasets and tools including SNU ParaHome, FrankMocap, and the CMU Panoptic Studio Dataset. His lab maintains strong industry connections, with students interning at leading companies like Meta. The lab's research focuses on building the infrastructure and algorithms needed for social AI, with an emphasis on practical applications that can be deployed in real-world settings.
Francis J. Flynn, known as Frank, is the Paul E. Holden Professor of Organizational Behavior at Stanford Graduate School of Business (GSB). He holds a PhD from UC Berkeley and joined Stanford in 2006 after roles at Columbia Business School. His academic focus revolves around leadership, employee cooperation, and mitigating workplace stereotypes. A renowned teacher, he employs the 'Three E’s' method: Engagement, Evidence, and Examples, emphasizing hands-on learning and real-world application. Education : PhD in Organizational Behavior, UC Berkeley (2000) MS in Business, UC Berkeley (1999) BBA, University of Notre Dame (1994) Research Interests : Frank explores why good intentions fail to produce desired outcomes in organizations, focusing on psychological barriers to cooperation. His work bridges management and social psychology, addressing topics like leadership emergence, stereotype reduction, and decision-making dynamics. Executive Education : He designs programs for companies including Google, Microsoft, and Bank of America, specializing in leadership and decision-making. His courses at Stanford include OB 206: Organizational Behavior and OB 377: The Paths to Power . Awards : Spence Faculty Fellow (2020–21) James & Doris McNamara Faculty Fellow (2013–14) Leadership Roles : Director of Executive Leadership Development at Stanford GSB, overseeing programs like the Executive Leadership Development initiative. Personal : An avid hiker and introvert-turned-public speaker, Frank advocates for deliberate practice. His book recommendations and teaching philosophy emphasize simplifying complex ideas, as seen in his推崇 of Michael Schur’s How to Be Perfect .
Gregory Keller is the Dean of the School of Science and Health and Professor of Biology at Gordon College. He holds a Ph.D. in Ecology with a Conservation Biology emphasis from The Pennsylvania State University, an M.A. from The College of William and Mary, and a B.S. from Alma College. He joined Gordon College in 2007 after serving as an Assistant Professor of Wildlife Ecology at Eastern New Mexico University. B.S.: Alma College M.A.: The College of William and Mary Ph.D.: The Pennsylvania State University (Ecology with Conservation Biology Emphasis) Dr. Keller's research centers on conservation biology, habitat use, and the effects of human-altered landscapes on wildlife, particularly birds and small mammals. His work spans multiple ecosystems in Belize, Massachusetts, New Hampshire, and Iceland. He employs Geographic Information Systems (GIS) and field studies to analyze migratory bird behavior, forest fragmentation, climate change impacts, and Lyme disease vectors. His research integrates landscape ecology with practical conservation strategies. His recent scholarly and public writings, such as 'Denizens of the Autumn Air' and 'Corridors of Abundance,' reflect a strong commitment to science communication and ecological awareness. These works, along with news features on his fieldwork, highlight his role in mentoring students and advancing conservation science. Fulbright Scholarship recipient Dr. Keller actively involves undergraduate students in research, guiding projects on warbler ecology, bat habitat use, sea ducks, and shorebird distribution. He teaches key courses including Conservation Biology, Landscape Ecology & GIS, Environmental Science, and Field Ornithology. His lab focuses on field-based ecological studies in human-dominated landscapes, with ongoing collaborations in international and local ecosystems.
