جست‌وجوی استاد و پژوهشگر

Wenzhong Liمشاهده پروفایل

استاد

• AI-Empowered Distributed Systems
• MultiModal Large Models
• Embodied Intelligence
• +۹ مورد دیگر

Wenzhong Li is a Professor at the School of Computer Science, Nanjing University, where he leads research at the State Key Laboratory for Novel Software and Technology. His academic career spans over 15 years with significant contributions to AI-empowered distributed systems, big data mining, and networking applications. He teaches Computer Networks and guides graduate students in Distributed Computing Research. Professor Li's research focuses on cutting-edge areas including AI-Empowered Distributed Systems and Applications (MultiModal Large Models, Embodied Intelligence, Edge Computing), Big Data Mining (Time Series Analysis, Graph Computing, Social Networks Analysis), and AI-Based Distributed Resource Scheduling. His work bridges theoretical foundations with practical implementations in real-world systems. His recent publications demonstrate a strong trend toward integrating deep learning with graph theory and time series analysis, with applications in human activity recognition, network optimization, and multimodal systems. The research spans multiple disciplines including artificial intelligence, computer vision, networking, and data mining, with a particular emphasis on practical implementations for real-world problems. Best Paper Runner Up at KSEM 2023 for 'Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy' Best Paper Award at APNet 2018 for 'Toward Effective and Fair RDMA Resource Sharing' Professor Li has advised numerous PhD and Master's students who have gone on to prominent positions at institutions like Nanjing University, Huawei, Alibaba, Microsoft, and various international universities. His research is supported by substantial grants from the National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Power Grid, and other major funding bodies, totaling multiple multi-year projects with significant budgets. He leads the AINet Group and is affiliated with the Sino-German Institute of Social Computing and MobileCloud research initiatives. His DISLAB provides the organizational framework for his research team, which includes dozens of graduate students and collaborators working on cutting-edge problems in AI, networking, and distributed systems.

• Electrical and Computer Engineering laboratory curriculum
• Digital systems design
• CAD for VLSI
• +۴ مورد دیگر

Mark C. Johnson is a Senior Lecturer at the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette. He serves as Director of Instructional Laboratories and Associate Director for Design - Semiconductor Degree Program , overseeing laboratory infrastructure, CAD software administration, and curriculum development for courses like ECE337, ECE437, and ECE364. Education: Ph.D. in Electrical Engineering (1998), Purdue University M.S. in Electrical Engineering (1991), Wichita State University B.S. in Electrical Engineering (1983), Purdue University - Calumet His research focuses on electrical and computer engineering laboratory curriculum innovation , digital systems design , and CAD for VLSI . Over 15 recent publications highlight his work in SoC prototyping , low-power circuit design , and educational technology , spanning projects like FPGA filter optimization, dual-core processor experiments, and active learning strategies. Leadership Roles: Proceedings Chair (2003), MSE Program Chair (2005), MSE General Chair (2007), MSE Steering Committee Member, MSE & European Workshop on Microelectronics Education Chair, ECE Instructional Innovation Group (2004-2012) Secretary/Webmaster, ASEE Illinois/Indiana Section (2002-2011) He directs the ECE437 Computer Architecture Prototyping Lab and System on Chip Extension Technologies (SoCET) team , and co-advises the STARS semiconductor readiness program. Outside academia, he is an organist at Faith Presbyterian Church and composes keyboard music.

Lyudmila Mihaylovaمشاهده پروفایل

استاد

• Signal Processing
• Bayesian Methods
• Monte Carlo Methods
• +۹ مورد دیگر

Professor Lyudmila Mihaylova is a distinguished academic at the University of Sheffield's School of Electrical and Electronic Engineering, where she holds the position of Professor of Signal Processing and Control. She has established herself as a leading researcher in the fields of signal processing, Bayesian methods, and autonomous systems, with significant contributions to particle filtering techniques for intelligent transportation systems. Her work bridges theoretical developments with practical applications across multiple domains including transportation, healthcare, and industrial automation. Prof. Mihaylova's research interests center on nonlinear filtering, sequential Monte Carlo methods, statistical signal processing, and sensor data fusion. Her work spans both theoretical advancements and practical implementations, with particular focus on high-dimensional problems including vehicular traffic flow estimation, image processing, and localization in sensor networks. She has extensive experience with various image modalities such as optical, thermal, LIDAR, SAR, and hyperspectral imaging. Her group actively develops novel methods for autonomous intelligent systems focusing on sensing, tracking, decision making, and machine learning applications. Analysis of Prof. Mihaylova's recent publications reveals a strong trend toward uncertainty quantification in machine learning models, particularly for safety-critical applications. Her work increasingly integrates traditional signal processing techniques with modern deep learning approaches, with applications spanning sewer inspection robotics, medical diagnostics (particularly sleep apnea detection), UAV swarm tracking, industrial manufacturing, and autonomous vehicle systems. A significant portion of her recent research focuses on developing robust methods that can handle incomplete or outlier-corrupted data while providing reliable uncertainty estimates. Among her notable professional achievements: President of the International Society of Information Fusion (ISIF) Senior member of the IEEE Signal Processing Society Associate Editor for IEEE Transactions on Aerospace and Electronic Systems Associate Editor for Elsevier Signal Processing Journal Prof. Mihaylova has successfully mentored numerous PhD students and postdoctoral researchers, many of whom have gone on to prominent academic and industry positions. Her research has been supported by major funding bodies including EPSRC, EU, MOD/DSTL, and industry partners, with recent projects including 'Protecting Environments with UAV Swarms' (InnovateUK, 2022-2024), 'ShiRAS: Towards Safe and Reliable Autonomy in Sensor Driven Systems' (NSF-EPSRC, 2019-2023), and 'Confident safety integration for Cobots' (Lloyd's Register Foundation, 2019-2020). Her research group follows a collaborative approach with the philosophy 'We share knowledge, we grow.' Prof. Mihaylova maintains active research collaborations with institutions worldwide and has held previous academic positions at Lancaster University (2006-2013) and University of Bristol (2004-2006), along with research visiting positions at the University of Ghent, Katholic University of Leuven, and the Bulgarian Academy of Sciences.

Marco Morales Aguirreمشاهده پروفایل

عضو هیئت علمی

• Motion Planning
• Multi-Robot Systems
• Artificial Intelligence
• +۵ مورد دیگر

Marco Morales Aguirre is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign and an Associate Professor at Instituto Tecnológico Autónomo de México (ITAM). He directs research at the Parasol Laboratory and has held significant leadership roles including founding member and former president of the Mexican Federation of Robotics (FMR). His academic journey spans both US and Mexican institutions, reflecting his international impact in the robotics community. Dr. Morales received his educational foundation from prestigious institutions: a Ph.D. in Computer Science from Texas A&M University, an M.S. in Electrical Engineering, and a B.S. in Computer Engineering from Universidad Nacional Autónoma de México (UNAM). His academic path has included positions as Visiting Professor at Texas A&M University and Lecturer at UNAM and the System of Technological Universities in México. His research focuses on motion planning algorithms for robotics, with particular expertise in multi-robot systems where he's pioneered frameworks like Adaptive Robot Coordination (ARC). His work bridges theoretical algorithm development with practical applications in industrial settings, computational biology, and extended reality interfaces. He has made significant contributions to topological guidance methods that improve planning efficiency in complex environments with narrow passages. Analysis of his recent publications reveals a strong trajectory toward more complex multi-robot coordination problems, with increasing emphasis on integrating task and motion planning. His research group has developed innovative approaches that scale to larger robot teams while maintaining computational efficiency, particularly in congested environments where traditional methods struggle. Member of the National System of Researchers of Mexico (level II) Founding member and former president of the Mexican Federation of Robotics (FMR) Member of the Mexican Academy of Computing Editor of multiple Algorithmic Foundations of Robotics (WAFR) proceedings Dr. Morales actively mentors a diverse group of graduate students who frequently appear as co-authors on his publications. His Parasol Laboratory conducts research funded through various academic and industrial collaborations, including significant projects with manufacturing partners exploring collaborative assembly systems. The laboratory has developed several notable frameworks including ARC, K-ARC, and HAS-RRT that have advanced the state of the art in multi-robot motion planning.

Tony Ingessonمشاهده پروفایل

مدرس ارشد

• Intelligence Analysis
• Counter-espionage
• Military Decision-Making
• +۴ مورد دیگر

Tony Ingesson is a Senior Lecturer in the Department of Political Science at Lund University, specializing in intelligence analysis, counter-espionage, and military decision-making. With a background in the Swedish Armed Forces where he worked with technical data acquisition for airborne weapons systems and communications, he brings practical military experience to his academic work. His research interests span intelligence analysis methodologies, counterintelligence operations, deception and manipulation at tactical levels, clandestine communications, and industrial espionage. Ingesson has developed a particular expertise in how psychological mechanisms and biases influence intelligence analysis, as well as the historical connections between military conscription and democratization. His work bridges theoretical political science with practical security applications. Analysis of his recent publications reveals a strong focus on contemporary security challenges, particularly the intersection of traditional and emerging technologies in intelligence operations. His work examines how historical communication methods persist in modern conflicts, the evolving nature of espionage in high-trust societies like Sweden, and the application of intelligence analysis techniques to non-traditional fields such as precision oncology. Ingesson demonstrates consistent scholarly output across both academic journals and public-facing platforms like The Conversation, indicating his commitment to making complex security issues accessible to broader audiences. Ingesson actively participates in interdisciplinary research projects, including 'Clandestine Communications: Old Technologies, New Opportunities' and 'Greyzone genomics' at the Pufendorf IAS. His teaching portfolio encompasses political science methods, intelligence analysis techniques, counterterrorism, and deception studies, reflecting the breadth of his expertise. While specific details about student advising aren't provided in the available information, his role as Senior Lecturer indicates involvement in mentoring students through his teaching responsibilities. His research team involvement includes collaboration with researchers like Magnus Andersson on clandestine communications and David Gisselsson Nord on the intersection of genomics and security. These collaborations demonstrate his ability to bridge disciplinary boundaries while maintaining focus on core intelligence and security issues.

Thad Starnerمشاهده پروفایل

استاد

• Wearable Computing
• Human-Computer Interaction (HCI)
• Augmented Reality
• +۷ مورد دیگر

Thad Starner is a Professor in the College of Computing at Georgia Institute of Technology and Technical Lead/Manager on Google's Glass. He directs the Contextual Computing Group (CCG), co-founded the Animal Computer Interaction Lab, and contributes to Georgia Tech's Ubicomp Group and Brainlab. A wearable computing pioneer since 1993, he has over 500 publications and 80 issued U.S. patents. Coined 'augmented reality' in 1990 Developed CopyCat for ASL learning in deaf children Invented Passive Haptic Learning for skill acquisition His research spans wearable interfaces for Deaf-hearing communication, dolphin interaction systems (CHAT), dog-handler communication (FIDO), and brain-computer interfaces for ALS patients. Current projects focus on optical aging simulation, XR input methods, and animal behavior telemetry. Recent publications (2023-2025) explore AR display ergonomics, AI-augmented reasoning, sign language recognition, and animal-computer interaction. His work has been featured in 60 Minutes, BBC, National Geographic, and Time Magazine. CHI Academy (2017) Lemelson-MIT Prize finalist White House Champions of Change finalist He advises graduate students in wearable systems and teaches AI and prototyping courses. His lab developed the Perceptive Workbench for gesture tracking and created early Eigenfaces research for face recognition.

• Higher Education
• Curriculum Design
• Educational Policy
• +۶ مورد دیگر

Professor Paul Ashwin is a leading scholar in higher education at Lancaster University , specializing in the educational role of universities, curriculum design, and policy impacts on teaching quality. His work bridges global and local perspectives, focusing on transforming student understanding and promoting societal equality. Professor of Higher Education, Lancaster University Deputy Director, Centre for Global Higher Education (2020-2024) Joint Editor-in-Chief, Higher Education journal Co-Editor, Bloomsbury book series on Student Experiences Research Interests center on: Curriculum design for transformative learning Higher education policy analysis Student and academic experiences Social justice in educational systems Knowledge engagement mechanisms Quality measurement frameworks Recent Publications demonstrate longitudinal studies across disciplines (chemistry, chemical engineering, sociology) and countries (UK, South Africa, USA), with a focus on knowledge agency, curriculum equity, and policy-practice alignment. Key themes include: Student transformation through disciplinary knowledge Critique of marketization in education Curriculum design for social justice International comparative studies Employability and graduate outcomes Teaching excellence frameworks Scientific Awards : Elected member of Academia Europaea PhD Supervision includes students researching: Rose Doherty Chris Lambert Onur Orkut Puiyin Wong Projects include international collaborations like: Understanding Knowledge Student Agency (Chemistry/Chemical Engineering) Graduate Experiences of Employability and Knowledge (GEEK) South African undergraduate pathways research

Fred Feinbergمشاهده پروفایل

استاد

• Discrete choice models
• Bayesian statistics
• Marketing analytics
• +۷ مورد دیگر

Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.

Karen Hayesمشاهده پروفایل

مدرس

• Rural Health
• Occupational Therapy
• Spatial Justice
• +۳ مورد دیگر

Karen Hayes is a Lecturer in Occupational Therapy at the School of Allied Health, Exercise and Sports Sciences, Charles Sturt University. With over two decades of clinical experience, she focuses on rural health equity, workforce development, and spatial justice in non-urban healthcare systems. Education: BaAppSc(Occupational Therapy)(Hons), University of Western Sydney; MHlthSc(Education), University of Sydney; GCertAppHlthBPsych, University of Newcastle Research: Rural occupational therapy services, spatial justice, workforce maldistribution, disaster resilience, and interprofessional education Awards: Senior Fellow Higher Education Academy (2024), Change One Thing Award (2023), Best Oral Presentation (2022), Best Presentation (2024) Her recent research examines the persistent shortage of occupational therapists in rural areas, spatial analysis of healthcare access, and simulation-based training for rural practice readiness. She advocates for systemic policy reforms to address geographic disparities in care provision. Key collaborations include work with institutions like the University of Western Sydney and active engagement in rural health conferences and policy groups. Her teaching philosophy emphasizes hands-on learning, critical thinking, and cultural awareness to prepare students for rural practice challenges.

Colin Drummondمشاهده پروفایل

استاد

• Simulation
• Healthcare Informatics
• Wearable Technology
• +۳ مورد دیگر

Colin Drummond, PhD, MBA is a Professor in the Department of Biomedical Engineering at both the Case School of Engineering and School of Medicine , where he also serves as Assistant Department Chair. His research focuses on simulation and applied informatics to enhance healthcare decision-making with translational applications in wearable technology and conversational agents for isolated patients. Doctorate in Biomedical Engineering (PhD) Master of Business Administration (MBA) Research interests span healthcare informatics , wearable analytics , and clinical decision support systems . Recent work explores: Physiological monitoring through wearable sensors Heart rate accuracy in consumer devices like Apple Watch Conversational agents for polypharmacy management Performance assessment in athletes and post-surgical rehabilitation

Amber Martinمشاهده پروفایل

دانشیار بالینی

• Geriatric Pharmacy
• Clinical Pharmacotherapy
• Medication Management
• +۶ مورد دیگر

Amber Martin, Pharm.D., BCPS, is an Associate Clinical Professor at Auburn University Harrison College of Pharmacy. Her professional address is 1330p Walker Building, Auburn, AL 36849, and she can be reached at martiam@auburn.edu. Education: Pharm.D., Auburn University Harrison College of Pharmacy, 2007 Dr. Martin specializes in geriatric pharmacotherapy, COPD management, diabetes treatment, and medication regimen reviews for skilled nursing facilities. She integrates sterile compounding education into the curriculum and coordinates skills laboratory experiences for pharmacy students. Her research focuses on age-related medication challenges, chronic disease management, and interdisciplinary clinical education. She has presented nationally on topics such as diabetes care, geriatric pharmacotherapy, and inhaler techniques for elderly COPD patients, with publications in journals like Current Pharmacy Teaching and Learning and Expert Review of Clinical Pharmacology . Dr. Martin contributes to experiential education through introductory and advanced pharmacy practice experiences (IPPEs/APPEs) and PGY-1 residency training. She collaborates with multidisciplinary teams at East Alabama Medical Center and has delivered regional continuing education lectures on COPD, vitamin D, and GI therapies.

Michael S. Hillمشاهده پروفایل

پژوهشگر

• Postsecondary Education
• Education Policy
• Program Evaluation
• +۵ مورد دیگر

Michael S. Hill is a researcher affiliated with the School of Education at the University of California, Irvine . He holds a Ph.D. in Education from UC Davis and has advanced degrees in Public Administration and Education. Education: Ph.D. in Education (UC Davis), MA in Education (Chapman University), MPA (University of San Francisco) His research specializes in education policy , program evaluation , and technology-mediated instruction in postsecondary settings, particularly focusing on online and blended learning for open-access institutions. He has contributed to NSF-funded studies on cross-enrollment policies and conducted international program evaluations in the Philippines and China. Key Projects: NSF-funded California cross-enrollment policy study International Experience: Co-teaching in Beijing, program evaluation in the Philippines He has taught at multiple institutions including UC Davis, CSU Long Beach, and University of Massachusetts Global, with expertise in both traditional and online educational delivery systems.

Benjamin C. Floresمشاهده پروفایل

استاد

• Radar signal processing
• Chaotic signals and systems
• High-resolution radar
• +۹ مورد دیگر

Benjamin C. Flores is a Professor of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP) , where he has built an internationally recognized career spanning advanced radar signal processing and large-scale STEM education initiatives. He directs the UT System Louis Stokes Alliance for Minority Participation (LSAMP) and the Bridge to the Doctorate Program , managing more than $40 million in funded projects aimed at increasing access and success for Hispanic and other under-represented students in STEM disciplines. Education: While specific degrees are not listed in the provided text, Dr. Flores’s faculty appointment and extensive technical expertise in radar and chaotic systems imply advanced training in electrical engineering. Research Interests: Radar & Signal Processing: high-resolution radar, inverse synthetic aperture radar (ISAR), range-Doppler processing, micro-Doppler analysis, bistatic radar, chaotic wideband signal design, neural-network-based classification of radar jamming signals. Antenna Engineering: fractal antennas, 3-D printed antenna prototyping, anechoic chamber measurements. STEM Education & Diversity: evidence-based retention strategies for non-traditional and Hispanic students, peer-led team learning, graduate mentoring, systemic change models for faculty diversity. Publication Trends: Dr. Flores’s recent articles (2021-2025) reveal two dominant thrusts—(1) cutting-edge radar/chaotic signal processing and joint radar-communication systems, and (2) rigorous, data-driven studies on broadening participation in STEM, with emphasis on mentoring, social networks, and program evaluation at Hispanic-Serving Institutions. Scientific Awards & Honors: Texas STAR Award – Texas Higher Education Coordinating Board (2005) ABET President’s Diversity Award (2006) Presidential Award for Excellence in Science, Mathematics, and Engineering Mentorship (2010) Grants & Leadership Roles: Principal Investigator & Project Director, Model Institutions for Excellence Initiative (1999-2007) Principal Investigator, UTEP PUENTES Program (US Dept. of Education, 2010-2015) Principal Investigator & Director, UT System LSAMP & Bridge to the Doctorate Program (since 2005) Laboratory & Facilities: Dr. Flores’s research group utilizes UTEP’s anechoic chamber and rapid-prototyping laboratories for antenna design and characterization, while also housing real-time radar test-beds and analog-computer platforms for chaotic oscillator experiments.

Donna Galloمشاهده پروفایل

استادیار

• Music Education
• Teacher Professional Development
• Creative Music Practices
• +۸ مورد دیگر

Donna Gallo is an Assistant Professor of Music Education at the University of Illinois Urbana-Champaign (UIUC), School of Music. She previously held faculty positions at Westminster Choir College, where she coordinated the Kodály Certification program, and taught K-6 general/choral music in Fairfax County Public Schools (VA) and Simsbury Public Schools (CT). Gallo’s academic background includes a Ph.D. from Northwestern University, an MME from Silver Lake College, a BME from Indiana University, and training at the Kodály Institute in Hungary, where she received the International Kodály Society Scholarship . Her research focuses on: Inservice teacher learning through collaborative professional development structures. Creative music-making and the integration of popular music practices in elementary education. Community partnerships as critical experiences for preservice teacher training. Quantitative research methodologies in music education. Educational equity through culturally responsive teaching and service learning. Teaching strategies for neurodivergent and physically divergent students. Gallo has secured grants for professional development programs and community partnerships with local music educators and school districts. Notably, she collaborated with the School of Music and College of Engineering on a UIUC grant to address systemic racism and social injustice. She has published in leading journals such as the Journal of Research in Music Education , Music Education Research , and International Journal of Music Education , and authored book chapters in The Routledge Companion to Creativities in Music Education and Toward Equity in School Music . Scientific Awards: International Kodály Society Scholarship (Kodály Institute, Hungary). In advising and grants, Gallo emphasizes culturally responsive teaching and first-year teacher support through service learning. Her work bridges music education with interdisciplinary initiatives, leveraging technology and partnerships to drive equity-focused innovation. She is actively involved in editorial roles, including past editor of AOSA Echo (2012–2016) and current editorial board member of the Music Educators Journal . Her collaborations span the UIUC School of Music and College of Engineering, as well as local schools and community artist mentors. Gallo’s efforts aim to transform music education through inclusive curricula, technology integration, and systemic change.

Claire Acevedoمشاهده پروفایل

استادیار

• Biomechanics
• Fracture Mechanics
• Skeletal Tissues
• +۵ مورد دیگر

Claire Acevedo is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego (UCSD), affiliated with the Jacobs School of Engineering. Her lab, the Fracture and Fatigue of Skeletal Tissues Laboratory (F² Lab), focuses on understanding mechanisms of deformation, fracture, and biological responses in skeletal tissues and biomaterials across molecular to macro scales. She holds a Ph.D. from the Swiss Federal Institute of Technology Lausanne (EPFL) and completed postdoctoral research at UC San Francisco and UC Berkeley/Lawrence Berkeley National Laboratory. Dr. Acevedo’s research is funded by the National Science Foundation (NSF), National Institutes of Health (NIH), and the Advanced Light Source. Her work bridges biomechanics, materials science, and high-energy X-ray physics to address bone fragility in aging and diabetes. Key projects include investigating collagen cross-linking effects on bone mechanics and developing novel imaging techniques like deep learning-enhanced synchrotron micro-CT. Education: Ph.D., Swiss Federal Institute of Technology Lausanne (EPFL) Postdoctoral Research: UC San Francisco & UC Berkeley/Lawrence Berkeley National Lab Previous Faculty Position: University of Utah (Mechanical Engineering) Recent contributions include the NSF CAREER Award for studying fracture mechanisms in fragile bones and an NIH R21 grant to explore collagen-level diabetes impacts. Her lab collaborates with the University of Utah Tanner Dance Program to develop K-12 educational initiatives linking dance with biomechanics. Publications span topics like synchrotron imaging innovations, diabetes-induced bone fragility, and collagen nanomechanics. Students in her lab have contributed to advancements in fatigue testing, cross-link analysis, and imaging algorithms. Awards: NSF CAREER Award (2024) NIH R21 Grant (2023) Alice L. Jee Award (2022) Nikon Small World Image of Distinction (2024) The F² Lab hosts a dynamic team with ongoing projects on glycemic effects, synchrotron techniques, and biomaterial design. Future work emphasizes translating findings into clinical fracture prevention strategies and educational outreach.