جست‌وجوی استاد و پژوهشگر

• Process Systems Engineering
• Chemical Process Optimization
• Hybrid Modeling
• +۷ مورد دیگر

Vladimir Mahalec is a Professor in the Department of Chemical Engineering within the Faculty of Engineering at McMaster University. With a career spanning over four decades, his scholarly activity shows consistent publication output from 1977 through 2025, with particular intensity in recent years. He maintains an active teaching schedule, offering graduate courses including Systems Modeling and Optimization (CHEMENG 753, SEP 752), Leadership for Innovation (SEP 773), and M.Eng. Project courses. Professor Mahalec's research interests focus on the intersection of chemical engineering process optimization, hybrid modeling techniques, and sustainable energy systems. His work bridges traditional chemical engineering with modern computational approaches, particularly in refinery planning, distillation tower modeling, and carbon footprint reduction. He has developed innovative methodologies such as inventory pinch algorithms for gasoline blend planning and hybrid models combining first-principles with data-driven approaches for process monitoring and optimization. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional process engineering. His work increasingly focuses on sustainability challenges, particularly zero-emission energy systems and greenhouse gas reduction strategies. The publications show a progression from purely process engineering topics toward interdisciplinary work combining chemical engineering, computer science, and environmental science. Professor Mahalec has maintained a productive research program with consistent publication output across multiple high-impact journals including Computers and Chemical Engineering , AIChE Journal , and Energy . His co-author network includes notable researchers such as Prashant Mhaskar (8 publications), Robert Fleisig, and Christopher Swartz. In the classroom, Professor Mahalec teaches advanced courses focused on systems modeling, optimization, and innovation leadership. His teaching portfolio demonstrates commitment to both technical depth in chemical engineering systems and broader skills development for engineering leadership. He has supervised numerous capstone design projects and M.Eng. projects, guiding students through complex process engineering challenges.

• Neuroengineering
• Rehabilitation Science
• Sensorimotor Control
• +۷ مورد دیگر

Dr. Valeriya Gritsenko is an Associate Professor at West Virginia University School of Medicine with multiple appointments across the Department of Physical Therapy, Department of Neuroscience, and Rockefeller Neuroscience Institute. She leads the Neuroengineering and Rehabilitation Laboratory (NERL) where she conducts interdisciplinary research at the intersection of neuroscience, engineering, and rehabilitation medicine. Dr. Gritsenko holds a PhD from the University of Alberta, Canada, completed a postdoctoral fellowship at the University of Montreal, and received specialized training including an intensive course in transcranial magnetic simulation at Harvard Medical School and a fellowship in Computational Neuroscience at Woods Hole. Her research focuses on understanding human sensorimotor control through experimental and computational approaches, employing techniques such as motion capture, electromyography, transcranial magnetic stimulation, and biomechanical modeling. Her work spans several key research domains including neuromechanics of movement, sensorimotor integration, and quantitative assessment of motor deficits. She has made significant contributions to understanding how proprioception combines with internal predictive signals for movement execution and has developed innovative methods for assessing movement impairments using low-cost motion capture systems. Her research has important applications in stroke rehabilitation, surgical training, and space medicine. Analysis of Dr. Gritsenko's publication record shows a clear progression toward developing computational tools for movement analysis, with increasing emphasis on AI applications and real-time assessment methods. Her recent work demonstrates strong integration between basic neuroscience principles and clinical applications, particularly in creating more sensitive measures of motor function that go beyond traditional joint angle measurements. Dr. Gritsenko is actively involved in major research initiatives including NASA's BioAISense project developing AI for autonomous sensorimotor assessment and an AFOSR project on sensation-to-action transformation frameworks. Her laboratory in the Erma Byrd Biomedical Research Facility serves as a hub for interdisciplinary research that combines engineering approaches with clinical neuroscience to improve rehabilitation outcomes.

Nikolaos Malamosمشاهده پروفایل

دانشیار

• Hydrology
• Irrigation Engineering
• Water Resources Management
• +۵ مورد دیگر

Nikolaos Malamos serves as an Associate Professor at the Agricultural University of Athens within the School of Environment and Agricultural Engineering, specifically in the Department of Natural Resources Development & Agricultural Engineering. His academic foundation includes graduation from the Agricultural University of Athens, postgraduate studies at the National Technical University of Athens' School of Civil Engineering, and a PhD in Agricultural Sciences. His research spans critical domains of agricultural hydrology with particular emphasis on: Soil-water-plant-atmosphere relationships and water movement in soil Mathematical simulation of water resources systems Hydroinformatics and spatial analysis methodologies Irrigation engineering and drainage systems Climate-hydrology interactions including evapotranspiration modeling His recent publication trajectory reveals intensifying focus on climate-resilient water management, stochastic rainfall frameworks, and water-energy-food nexus applications, particularly within Mediterranean agricultural contexts. Scientific recognition includes his role as Associate Editor for the Hydrological Sciences Journal, the official publication of the International Association of Hydrological Sciences (IAHS). Associate Editor, Hydrological Sciences Journal (IAHS) Professor Malamos actively leads research projects addressing irrigation optimization, hydrological modeling, and water resource sustainability. His work integrates field studies with computational approaches, frequently collaborating on national infrastructure initiatives like Greece's OpenHy.net water monitoring system. Current projects emphasize climate adaptation strategies for Greek agriculture, particularly in vineyards and greenhouse systems. He directs research activities within the Agricultural Hydraulics Laboratory, focusing on practical applications of hydrological theory to agricultural water management challenges across diverse Greek landscapes.

Yongwei Shengمشاهده پروفایل

استاد

• Geospatial Information Systems and Technologies
• Remote Sensing
• Photogrammetry
• +۵ مورد دیگر

Professor Yongwei Sheng is a leading geospatial scientist in the Department of Geography at the University of California, Los Angeles (UCLA), specializing in remote sensing, photogrammetry, and GIS applications for global environmental monitoring. His work focuses on lake dynamics in climate-sensitive regions like the Tibetan Plateau and Arctic, utilizing NASA and NSF-funded satellite data to address critical questions in global change research. Education Ph.D. in Environmental Science, Policy and Management, University of California, Berkeley, 2000 M.E. in Earth Sciences, Zhejiang University, China, 1991 B.S. in Earth Sciences, Zhejiang University, China, 1988 Research Focus Dr. Sheng pioneers Geospatial Information Systems and Technologies (GIST) for environmental applications, with core expertise in geographic information acquisition , uncertainty modeling , and 3D information technologies . His current research analyzes lake dynamics under climate change through innovative use of satellite altimetry and thermal imagery, revealing critical patterns in Tibetan Plateau freshening and Arctic lake thermokarst processes. His methodological contributions enable large-scale monitoring where field data collection is impractical. Publication Trends Recent publications (2023-2025) demonstrate intense focus on SWOT mission applications, Tibetan Plateau hydrology, and glacier-lake interactions. Key themes include lake typology classification, reservoir impacts on river systems, and sediment dynamics in shallow lakes. His work increasingly integrates multi-sensor approaches (Sentinel, MODIS, ICESat-2) to quantify climate change impacts on global water bodies, with significant emphasis on Asian high-altitude regions. Scientific Recognition Landsat Science Team Award (USGS, 2012) Faculty Career Development Award (UCLA, 2008) New Investigator Award (NASA, 2006) Top 100 Science Story (Discover Magazine, 2006) Service Excellence Award (CPGIS, 2001) William A. Fischer Remote Sensing Award (ASPRS, 1997) Mentorship and Funding Dr. Sheng has supervised Ph.D. students including Evan A. Lyons and Jida Wang on Arctic lake dynamics. His research is sustained by continuous major grants from NASA, NSF, and USGS for projects like Tibetan Plateau Lake Monitoring and Arctic Coastal Plain Thermokarst Studies , totaling over $5M in active funding for satellite-based environmental assessment. Research Infrastructure He directs UCLA's Geospatial Hydrology Lab, developing specialized tools like PaleoLakeR for paleo-lake reconstruction and LakeTime for seasonal lake mapping. His team maintains the SWOT Prior Lake Database and collaborates with NASA's Jet Propulsion Laboratory on algorithm development for next-generation satellite missions.

• Neutrino Physics
• Particle Physics
• Experimental Particle Physics
• +۵ مورد دیگر

Professor Constantinos Andreopoulos is a Chair in Experimental Particle Physics at the University of Liverpool, holding a joint appointment with Rutherford Appleton Laboratory. He leads the Liverpool SBN team for the Fermilab Short-Baseline Neutrino Program and the Liverpool JUNO team for the Jiangmen Underground Neutrino Observatory in China. As co-spokesperson of the international GENIE collaboration, he plays a pivotal role in neutrino physics research worldwide. Professor Andreopoulos received his academic training at the University of Athens: BSc in Physics (1996) Master's degree in Nuclear and Particle Physics (1998) PhD in Experimental Particle Physics (2003) Professor Andreopoulos' research focuses on precision measurements of neutrino mixing and new physics searches. His work spans accelerator-based neutrino physics, with 30 years of experience in neutrino experiments. He has made significant contributions to the DONuT experiment (first direct observation of the tau neutrino), MINOS experiment (confirmation of neutrino oscillations), and T2K experiment (precision measurements of neutrino oscillations). His current research involves the SBND experiment at Fermilab and the JUNO experiment in China, with additional work in quantum computing applications for neutrino physics. Professor Andreopoulos' recent publications (2024-2025) demonstrate continued leadership in neutrino physics, with focus areas including DUNE experiment development, neutrino cross-section measurements, GENIE event generator tuning, and background studies for JUNO. His work shows a clear progression from foundational neutrino oscillation measurements toward precision tests of the Standard Model and searches for physics beyond it, with increasing emphasis on advanced computational techniques including quantum computing applications. Professor Andreopoulos has received several prestigious awards for his contributions to neutrino physics: Breakthrough Prize in Fundamental Physics (2016, with T2K collaboration) Associateship Award from Institute of Particle Physics Phenomenology (Durham University, 2016) Associateship Award from Institute of Particle Physics Phenomenology (Durham University, 2015) Associateship Award from Institute of Particle Physics Phenomenology (Durham University, 2009) Professor Andreopoulos has supervised numerous PhD students, with thesis topics spanning neutrino cross-section analysis, CP violation studies, machine learning applications for event reconstruction, and new physics searches. His research is supported by multiple grants including European Commission funding for "BEYOND" and "INTENSE" projects, Royal Society funding for "Neutrino Interaction Modelling for JUNO," UK Research and Innovation grants, and Science and Technology Facilities Council consolidated grants. He serves as Principal Investigator for the Liverpool SBN and JUNO teams. Professor Andreopoulos is actively involved with several major research facilities and collaborations. He is a member of the SBND Executive Committee and has held various leadership roles in the SBN program. He leads the VALOR analysis group and is deeply involved with the GENIE collaboration, which produces the standard neutrino event generator used by experiments worldwide. His quantum computing research involves collaboration with the Fermilab Quantum Institute to develop quantum algorithms for neutrino interaction calculations.

Thia Hennessyمشاهده پروفایل

استاد

• Agri-Food Economics
• Farm Income Analysis
• Sustainability Indicators
• +۴ مورد دیگر

Professor Thia Hennessy serves as Head of the College of Business and Law at University College Cork (UCC), where she also holds a Professorship in Agri-Food Economics. Previously Dean of Cork University Business School, she leads academic strategy while maintaining an active research profile focused on agricultural economics. Her office is located in Room 3.02A of the O'Rahilly Building at UCC. Professor Hennessy's research centers on agri-food economics with particular expertise in farm income analysis, sustainability indicators, and agricultural policy evaluation. Her work bridges academic rigor and policy relevance, frequently engaging with European Parliament and OECD bodies. She employs quantitative methods to examine risk management, climate change adaptation, and digital transformation in farming systems, with strong emphasis on empirical analysis of Irish agricultural data. Her publication record demonstrates consistent output in high-impact journals including Journal of Agricultural Economics, Food Policy, and Agricultural Finance Review. Recent work analyzes the intersection of economic performance and environmental sustainability in dairy production, farm-level risk management strategies, and the effectiveness of agricultural extension programs. Her research often features collaborative work with multidisciplinary teams across European institutions. Honorary Doctorate from University of Reading (2019) Outstanding Young Researcher by British Agricultural Economics Society (2012) Teagasc Staff Excellence in Research (2013) Professor Hennessy maintains active connections with policy bodies including the National Consultative Committee on Agricultural Policy (since 2006) and previously served on the National Competitiveness Council (2004-2009) and Animal Health Ireland board (2008-2012). She regularly contributes expert commentary to media outlets and serves as Associate Editor of the International Journal of Agricultural Management since 2013.

Angela Roweمشاهده پروفایل

استادیار

• Atmospheric Physics
• Cloud Physics
• Mesoscale Meteorology
• +۵ مورد دیگر

Angela Rowe is an Assistant Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison. Her research focuses on understanding cloud and mesoscale processes influencing high-impact weather events, leveraging radar observations and numerical modeling. Key areas include tropical oceanic convection, orographic precipitation dynamics, and the role of environmental conditions in convective organization. Her work integrates multi-wavelength radar data from field campaigns like NASA's CPEX-CV and S2noCliME to study systems ranging from frontal storms to mountain-influenced precipitation. Recent studies emphasize microphysical processes in hailstones, dust-convection interactions, and the impact of riming on precipitation fallout in winter storms. Publications from 2024-2025 highlight advancements in analyzing tropical convection patterns, mesoscale convective system evolution, and the influence of low-level jets on convective environments in South America. Educational contributions include workshops on phased array radar technology and effective scientific writing.

Vladimir V. Nikulinمشاهده پروفایل

دانشیار

• Free-space Laser Communication
• Quantum Communication
• Optical Sensors
• +۳ مورد دیگر

Vladimir V. Nikulin is an Associate Professor and Director of Graduate Programs in the Electrical and Computer Engineering Department at Binghamton University. He holds a PhD from Binghamton University and is an alumnus of the institution. Prior to his current position, he worked as a research scientist at the SUNY Research Foundation from 2001 to 2002. His roles include overseeing academic programs and advancing research in his field. Education: Dr. Nikulin earned his PhD in Electrical and Computer Engineering from Binghamton University. Additionally, his academic background includes undergraduate and graduate studies at the same institution, reflecting a deep institutional affiliation. Research Interests: His work focuses on cutting-edge communication and control technologies. Key areas include free-space laser communication, quantum communication protocols, optical sensor development, holographic analysis techniques, and energy systems optimization. He investigates atmospheric turbulence impacts on quantum links, robust control strategies for electric drives, and the integration of neural networks into industrial processes. His experimental studies often bridge theoretical models with practical implementations, such as beam steering systems and decentralized adaptive control methodologies. Articles Trends: Recent publications (2024–2020) highlight advancements in mitigating atmospheric distortions for quantum communication, neural network-driven industrial process modeling, and free-space optical system design. His work also explores hybrid cryptography methods and AI applications in human resources. These studies underscore his expertise in optics, quantum physics, control systems, and cross-disciplinary engineering solutions. Scientific Awards: No awards or fellowships have been explicitly listed in the provided text. Advising & Grants: While specific advising records or grant details are not mentioned, his role as Director of Graduate Programs suggests active mentorship of graduate students. His research projects likely involve funding from academic grants focused on optical communication systems and energy efficiency solutions. Notable contributions include experimental setups for quantum links and control systems for renewable energy grids. Labs & Teams: Dr. Nikulin has developed an internet-accessible engineering laboratory (2001) and collaborates on projects involving optical communication testbeds and quantum circuit experiments. His work often leverages advanced tools like holographic interferometry and Lyot filters for precise measurements and system optimization.

• Marketing
• Service Management
• Customer Engagement
• +۴ مورد دیگر

Dr. Loic Li is a Lecturer in the Department of Management and Marketing at La Trobe Business School, La Trobe University (Melbourne, Australia). He holds a PhD in Marketing from the University of Auckland, alongside Master of Commerce and Bachelor of Commerce degrees from China University of Geosciences, and a Bachelor of Arts from Huazhong University of Science and Technology. His research focuses on customer and actor engagement dynamics in service ecosystems, particularly leveraging big data to analyze digital platform interactions. Key areas include engagement intensity, valence, and the influence of brand content on customer behavior. Dr. Li’s work has been published in leading journals such as the Journal of Service Management and Journal of Advertising. His current projects explore the application of social data and big data analytics in marketing strategies. Teaching interests include Digital Marketing Strategy, Brand Management, and Customer Relationship Management. His research trends emphasize theoretical framework development (e.g., actor engagement classification schemes) and practical applications in crisis communication (e.g., United Breaks Guitars case study). Collaborations span institutions like University of Auckland Business School and University of Otago Business School. Languages: Fluent in Mandarin (read/write/speak/peer review).

Caleb Farnyمشاهده پروفایل

مدرس

• Physical Acoustics
• Medical Ultrasound Applications
• Cavitation Detection
• +۳ مورد دیگر

Caleb Farny is a Master Lecturer in the Department of Mechanical Engineering at Boston University, serving as Associate Chair for Undergraduate Programs. He holds a PhD from Boston University and specializes in physical acoustics with a focus on medical ultrasound applications. His research explores cavitation detection, transcranial imaging, and therapeutic ultrasound innovations. Education: PhD in Mechanical Engineering from Boston University. His work has been recognized with the 2025 Dean’s Faculty Leadership Fellow award. Research contributions include developing novel methods for brain structure imaging through the skull, advancing cavitation detection technologies, and improving HIFU (high-intensity focused ultrasound) safety monitoring. Publications span over two decades, addressing topics from medical imaging techniques to educational strategies in STEM. Notable work includes SVD-based cavitation signal analysis and optically mediated micro-cavitation systems. His academic leadership roles reflect a commitment to undergraduate education and curriculum innovation. No student advisees or grants are explicitly listed in the provided materials. His affiliations include primary faculty membership in Mechanical Engineering and administrative roles supporting undergraduate programs.

Rik Eshuisمشاهده پروفایل

دانشیار

• Business Process Management
• Data-Driven Decision Making
• Knowledge-Intensive Processes
• +۳ مورد دیگر

Rik Eshuis is an Associate Professor of Intelligent Information Systems at Eindhoven University of Technology, affiliated with the Department of Industrial Engineering & Innovation Sciences and the Information Systems subgroup. He specializes in business process modeling, process management, and information systems engineering, focusing on data-driven processes in healthcare, defense, and high-tech industries. His research emphasizes adaptive process management for knowledge-intensive work, leveraging AI-driven decision support and Green BPM. Academically, Eshuis holds a PhD in Computer Science from the University of Twente and has held visiting roles at IBM Watson Research Center and CRP Henri Tudor. He coordinates the TU/e IS Process Engineering cluster and has authored over 80 peer-reviewed publications. He serves as a reviewer for journals like ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Software Engineering, and chairs conferences such as IEEE EDOC and ECOWS. His research projects include the Horizon 2020 iPSpine initiative (designing digital platforms for medicinal product development) and the national UPSCALE project (sustainable construction waste management using Digital Twin technology). He co-supervises Zeynep Ozturk and Simon Voorberg. Eshuis has received top-2% citation impact awards from 2019 to 2023, reflecting his significant scholarly influence. Eshuis contributes to grants and collaborations, such as the UPSCALE initiative, and engages in lab/teams focused on Process Engineering and AI-driven decision-making. His work aligns with UN Sustainable Development Goals, particularly in sustainable innovation and resource management.

Omar Anwarمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Low Power Computing
• Wireless Sensor Networks
• +۳ مورد دیگر

Omar Anwar is a Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at the University of Western Australia. He holds a BS in Electronic Engineering from Muhammad Ali Jinnah University (2007) and an MS in Embedded Systems Engineering from the University of Leeds (2009). His research focuses on Machine Learning, Low Power Computing, Wireless Sensor Networks, and Radio Frequency Interference (RFI) mitigation in radio astronomy. Currently, he contributes to the Data Intensive Astronomy (DIA) group at ICRAR, addressing RFI challenges critical to astronomy research. Education: Bachelor of Science in Electronic Engineering, Muhammad Ali Jinnah University, 2007 Master of Science in Embedded Systems Engineering, University of Leeds, 2009 Research Interests: Anwar’s work combines machine learning with hardware optimization to solve real-world challenges. His innovations include developing low-power, long-range sensor systems for remote beehive health monitoring and pioneering the first ML model for beehive weight estimation. His current focus on RFI minimization aims to enhance radio astronomy data quality. His research bridges agriculture, embedded systems, and astrophysics, emphasizing interdisciplinary applications. Awards & Grants: No specific awards or grants are listed in the provided texts. Advising & Labs: Anwar is part of the DIA group at ICRAR, collaborating on large-scale astronomical data challenges. No formal advisee list is provided.

Pierre H. Woerleeمشاهده پروفایل

مدرس

• Patient Monitoring
• Clinical Measurements
• Perioperative Care
• +۳ مورد دیگر

Pierre H. Woerlee is a University Lecturer in the Department of Electrical Engineering, Signal Processing Systems at Eindhoven University of Technology (TU/e). He previously held roles at Philips Research (1980–2017), including Research Fellow (1998–2017), and was a part-time Professor at the University of Twente’s Faculty of Electrical Engineering (1992–2001). His research focuses on healthcare technology, particularly patient monitoring, clinical measurements, and perioperative care, with contributions to resuscitation care, automated CPR, and physiologic modeling. Education: Doctorate in Physics (University of Amsterdam, 1979) Master’s in Physical Chemistry (University of Amsterdam, 1975) Research at FOM Institute for Atomic and Molecular Physics (1975–1979) Research Interests: Woerlee specializes in low-acuity patient monitoring, new clinical measurements, and prediction of patient deterioration. His work integrates machine learning and engineering principles to improve healthcare technologies, such as pressure support ventilation systems and patient-ventilator asynchrony detection. Notable Projects: Member of the PISANO SPS project (2021–2026), focusing on perioperative innovations and newborn health. Grants & Labs: Active in translational research within the SPS group, collaborating on hemodynamic parameter analysis and medical device development. His work aligns with UN Sustainable Development Goals for health and innovation.

Marit Sijbrandijمشاهده پروفایل

استاد

• Trauma
• Common mental disorders
• Prevention
• +۳ مورد دیگر

Marit Sijbrandij is a Full Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, specializing in Clinical Psychology. She serves as Director of the WHO Collaborating Center for Mental Health (APH - Mental Health). Her research focuses on preventing and treating trauma-related mental disorders globally, emphasizing scalable interventions in low-resource settings. She leads projects such as STRENGTHS and Simagery, addressing mental health challenges in conflict zones and refugee populations. Teaching includes courses like Cross-cultural and Global Mental Health (Master’s program) and Political violence and the human condition . She chairs the Exam Subcommittee Psychology at her faculty. Current projects include EU-funded initiatives (e.g., U-RISE for Ukrainian refugees) and collaborations on neurobiological correlates of PTSD. Ancillary roles include leadership in the MHPSS Academy. Research interests span trauma aetiology, psychological mechanisms of interventions, and global mental health equity. Over 240 publications cover PTSD treatment, pharmacological prevention, and meta-analyses of psychotherapy efficacy. Key areas include randomized controlled trials in LMICs and conflict zones, with recent work on pandemic impacts on mental health and displaced populations. Labs/Teams: Active in global mental health networks, leading multidisciplinary teams on scalable interventions. Supervised 6 PhD theses, focusing on refugee mental health and intervention design.

• Exercise Science
• Vascular Physiology
• Cardiovascular Disease
• +۵ مورد دیگر

Professor Karen Birch is the Executive Dean and Professor of Exercise Science at the University of Leeds, affiliated with the School of Biomedical Sciences. Her academic journey includes a BSc (Hons) in Movement Science from Liverpool University (1990) and a PhD in Exercise Physiology from Liverpool John Moores University (1995). She has held academic roles at Manchester Metropolitan University and the University of Leeds, advancing to her current position in 2017. Her research focuses on endothelial function, female reproductive hormones, and exercise interventions targeting cardiovascular health and menopause-related risks. Collaborations include institutions like the Leeds Institute of Cardiovascular Medicine and the University of Sheffield. Her research employs advanced techniques such as MRI, echocardiography, and flow cytometry to study vascular health, exercise-induced shear stress, and hormone-cardiovascular interactions. Notable projects include investigating interval training’s impact on postmenopausal women and exploring omega-3 fatty acids’ effects on diabetes. Funded by organizations like the British Heart Foundation and Heart Research UK, her work highlights exercise as a therapeutic tool for chronic diseases. Her scientific contributions include over 150 peer-reviewed articles, with recent studies emphasizing vascular health interventions, chronic disease management, and aging populations. Awards include Fellow of the American College of Sports Medicine. She teaches across exercise physiology programs and leads interdisciplinary research initiatives, including the REACH programme for care home residents’ physical activity.