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George BeckhamView profile

Assistant Professor

• Kinesiology
• Biomechanics
• Exercise Science
• +3 more

George Beckham is an Assistant Professor of Kinesiology at California State University, Monterey Bay. His research focuses on optimizing athlete training and testing using advanced technologies like inertial measurement systems, biomechanical analysis of resistance exercises, and strength assessment methodologies. He specializes in rugby scrum force dynamics, pickleball fatigue studies, and isometric mid-thigh pull standardization. Beckham has collaborated on projects involving sports equipment validation and athlete performance monitoring. His work integrates academic and applied research, bridging biomechanics with practical training applications. Key areas of interest include: Neuromuscular fatigue assessment in sports like pickleball Rugby scrum biomechanics and force production analysis Resistance training optimization via inertial measurement technologies Development of reliable performance testing protocols Beckham's scholarly outputs emphasize methodological rigor in equipment validation and systematic reviews of sports performance metrics. His research has been published in journals like Applied Sciences , Sports Biomechanics , and Journal of Functional Morphology and Kinesiology . While no formal awards are listed, his contributions to sports science methodology have been widely cited in peer-reviewed literature. His work often involves inter-disciplinary collaborations between biomechanical engineering and athletic training departments. Beckham maintains active research profiles on ResearchGate and Google Scholar for full paper access.

Eric MartinView profile

Assistant Professor

• Sports Biomechanics
• Force Production Analysis
• Rugby Scrum Mechanics
• +1 more

Eric Martin is Assistant Professor in Kinesiology, specializing in sports biomechanics and athletic performance measurement. His research focuses on force production analysis in athletic contexts, particularly rugby scrum mechanics and full-body impulse assessment methods. Key research areas include: Instrumentation development for sports force measurement Biomechanical analysis of rugby scrum dynamics Medicine ball throw as athletic assessment tool Stress management in student-athletes Recent publications demonstrate methodological innovations in sports science, including calibration techniques for scrum machines and load-dependent assessment protocols. Educational research explores pedagogical strategies for textbook engagement in higher education.

Eric KleinView profile

Professor

• Electron IMRT
• Medical Physics
• Radiation Therapy
• +1 more

Eric Klein is Professor Emeritus of Radiation Oncology at Brown University's Warren Alpert School of Medicine. As University Chief of Medical Physics at Rhode Island Hospital, he leads clinical physics operations and research initiatives in radiation therapy technologies. Research expertise focuses on: Electron Intensity-Modulated Radiation Therapy (IMRT) Medical physics instrumentation Scrum machine force measurement systems With over 119 peer-reviewed publications, his work has received funding from Varian Medical Systems for electron IMRT development and scrum machine instrumentation research.

Štefan ŽákView profile

Associate Professor

• Consumer Behavior
• Digital Marketing
• Machine Learning Applications in Marketing
• +6 more

Štefan Žák is an Associate Professor at the Department of Marketing, Bratislava University of Economics and Business. His research spans consumer behavior, digital marketing, and knowledge management, with a focus on cross-device search behavior, influencer marketing, and mHealth promotion. He has led multiple VEGA research projects on consumer decision-making models and marketing innovation. Education: PhD, MBA, LL.M., Dipl. Ing. Key Research Areas: Consumer Behavior, Digital Marketing, Machine Learning in Marketing, mHealth, Cultural Consumption Article Trends: Žák’s work bridges technology and consumer psychology, analyzing search engine optimization, influencer dynamics, and health informatics. Recent papers emphasize cross-device user behavior and GDPR compliance challenges. Leadership & Affiliations: Former Head of Faculty (2011-2019), current member of scientific boards at University of Economics in Prague, Matej Bel University, and University of Economics in Bratislava. Editor-in-chief of Studia commercialia Bratislavensia .

Rabih YounesView profile

Associate Professor

• wearable computing
• artificial intelligence
• machine learning
• +6 more

Rabih Younes is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He also serves as the Associate Director of Undergraduate Studies and is a Faculty Network Member of the Duke Institute for Brain Sciences. Additionally, he is the Duke FRC Program Director for team 8429, Valence Robotics, and Head of the Duke KEEN Leadership Team. Dr. Younes received his PhD in Computer Engineering from Virginia Tech in 2018, following his MSE in Computer Engineering from the Lebanese American University in 2013 and his BE in Computer Engineering from the same university in 2011. He speaks nine languages (fluent in three) and holds various certificates including Engineering Education and Future Professoriate, Cisco Networking Academy certifications (CCNP, CCNA, ITE Instructor Trainer), National Instruments CLAD, and USPA A-Licensed Skydiver. His research spans wearable computing, ubiquitous/pervasive computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics. Dr. Younes has published extensively on topics ranging from wearable health monitoring systems to innovative approaches in engineering education. His recent work demonstrates a growing integration of machine learning techniques with wearable sensor data for health applications, activity recognition, and educational assessment tools. Dr. Younes' scholarly output shows a consistent trajectory from fundamental wearable computing research toward practical applications in health monitoring and educational technology. His publications reveal an increasing focus on real-world implementation challenges, data augmentation techniques, and educational assessment tools that bridge engineering theory with practical classroom applications. Tau Beta Pi honor society member Eta Kappa Nu honor society member Phi Kappa Phi honor society member Golden Key honor society member KEEN Annual Support grant (2024-2026) Dr. Younes actively mentors students through various programs including EGR 393: Research Projects in Engineering and ECE 899: Special Readings in Electrical Engineering. He has received grant support through the KEEN Annual Support program for 2024-2026, focusing on innovative engineering education approaches. His teaching philosophy emphasizes student development beyond academics, incorporating life skills and critical thinking. As Director of Valence Robotics (team 8429), Dr. Younes leads high school robotics initiatives that have earned state championship qualifications. His lab work focuses on wearable computing systems with applications in health monitoring (including pet emotional health tracking), activity recognition, and educational technology tools. He utilizes agile project management frameworks like Scrum in his courses and implements tools to enhance student learning retention.