个人介绍： A tenured professor with 16+ years of service (since 2005) at the Department of Mechanical & Manufacturing Engineering & Technology, Oregon Institute of Technology, holding a PhD in Industrial Engineering and an MSc in Software Engineering (both from Kansas State University) plus a BEng in Mechanical Engineering (Beijing Jiaotong University, China). With 11 years of industrial engineering/management experience (1988–1999), they currently serve as an ABET Mechanical Engineering Technology Program Evaluator (2015–present) and Manuscript Editor of Journal of Engineering Technology (2019–present). Previously, they were Site Director of the M&MET Department at Wilsonville (2013–2021), Graduate Program Director (2006–2013), and Graduate Council Chair (2011–2013). They teach 20+ engineering courses (e.g., CAD Design, Thermodynamics, Lean Manufacturing) and have published a book, book chapters, and 30+ peer-reviewed papers. They secured funding (e.g., $46k from NSF) and served as a visiting professor at Chinese universities

个人介绍： A PhD in Electrical and Computer Engineering (New Jersey Institute of Technology, NJIT, 2018) with an MSc (Louisiana State University, 2014) and dual BSc in Electrical Engineering & Mathematics (Louisiana Tech University, 2012, with honors). Currently works as a Fusion Algorithm Engineer at Aptiv (2018–present), leading L3/L4 radar-lidar-camera fusion tracker development for BMW projects, designing mm-level positioning modules (fusing RTK GNSS/IMU), and developing 3D LiDAR segmentation for object detection. Has expertise in radar signal processing, sensor fusion, and AI/ML—e.g., human behavior detection via CNN (micro-Doppler), radar interference mitigation with SVM, and CUDA-based signal processing. Previously researched distributed MIMO radar at NJIT (2014–2018) and led LiDAR facial recognition algorithms as an intern. An IEEE Senior Member (2019–present) with 10+ publications, holds fellowships (Ross, Hashimoto) and engineering honors. Proficient in C/C++, Python, FPGA (Verilog), MATLAB, and TensorFlow.

个人介绍： A dual PhD holder (Biotechnology, Renewable Energy) with over 30 years of experience in teaching, research, and university management. Specializes in Renewable Energy, Environmental Sciences, and International Education. Served in senior leadership roles (Pro Vice Chancellor, Executive Director) at Australian universities, overseeing international partnerships, student recruitment, and curriculum development. Published 200+ peer-reviewed articles with high H-index (Scopus 31, Google 45) and supervised 20+ HDR students. Secured $3 million+ in research grants and led initiatives to double HDR student load and increase international enrollment. Experienced in cross-border academic collaboration and quality assurance in higher education.

个人介绍： A U.S. citizen and Full Professor & Chair at the Department of Engineering, Lancaster University (UK, since 2010), holding a PhD in Civil Engineering (University of Alabama, Huntsville, 2001), MSc in Civil Engineering (Institute of Applied Sciences of Lyon, France, 1996), and BSc in Civil Engineering (University of Sherbrooke, Canada, 1994). Specializing in smart low-carbon structural materials, energy harvesting from civil infrastructure, and AI-based infrastructure monitoring, they are ranked among the world’s top 2% influential scientists (2021). They hold multiple patents (e.g., smart cementitious composites, structural health monitoring paint), secured over $10M in grants (NSF, EU H2020, UK DOT), and published 100+ peer-reviewed papers. They have supervised 80+ graduate students/postdocs, founded MSc programs, and established high-tech labs worth $2M. Previously, they served as Associate Professor at U.S. universities (North Dakota State University, Alabama A&M University) and led research themes in European smart urban infrastructure consortia. They also contribute to editorial boards and NSF grant reviews.

个人介绍： A PhD in Physics with a minor in Theoretical Physics, and dual B.S. degrees in Physics and Mathematics (GPA 4.0). Has 17+ years of teaching experience across universities and colleges, specializing in calculus-based and algebra-based physics, computational physics, and mathematics. Developed curriculum for computational physics courses and taught a wide range of courses (University Physics, General Physics, Computational Physics) at Northern Arizona University, Metropolitan State University, and others. Skilled in teaching tools (MasteringPhysics, Blackboard, iclicker) and programming languages (MATLAB, Python, FORTRAN). Published research on fluid dynamics and turbulence, with multiple conference presentations and travel grants. Fluent in Spanish and experienced in tutoring diverse student groups.

个人介绍： Radford H. V. Mitchell, Jr. holds a Ph.D. in Physics with a minor in Theoretical Physics from Georgia Institute of Technology, as well as B.S. degrees in Physics (with a minor in Spanish) and Mathematics (both with a GPA of 4.0) from Northern Arizona University, and an A.S. from Yavapai College. He has extensive teaching experience at multiple universities, covering calculus-based and algebra-based physics courses, online courses, at both undergraduate and graduate levels, with expertise in physics lab teaching and tutoring. His research areas include fluid dynamics (computational fluid dynamics, chaotic mixing, etc.) and nonlinear dynamics & chaos. He possesses strong computational skills (proficient in MATLAB, Maple, FORTRAN, etc.) and proficiency in teaching tools, with fluent Spanish. He has received numerous academic awards and scholarships, being a senior professional in physics education and research.

个人介绍： Anton Bondarenko is a physicist with over 3 years of highly evaluated experience teaching physics and math to undergraduate and high school students of various preparation levels, both in classrooms and one-on-one settings. He is an adept communicator, with a proven record of effectively conveying complex scientific and technical ideas to both expert and lay audiences through public speaking, presentations, and writing. As a collaborator, he has substantial experience mentoring students, forming mutually beneficial partnerships, and working in scientific teams. He is a skilled analyst, demonstrating the ability to extract meaningful conclusions from messy, incomplete data sets via computer programming, mathematical modeling, and data visualization. His research focuses on high-energy density plasma physics, with achievements including the first direct laboratory observation of a theoretically predicted plasma phenomenon. He has published peer-reviewed papers and received excellent teaching evaluations.

个人介绍： A PhD in Physics with 10+ years of experience as a data scientist, machine learning engineer, and educator. Specializes in computer vision, quantum field theory, and scientific computing. Taught unique physics courses at UCLA for science majors, managing teaching assistants and mentoring students for 7+ years. Developed AI tools using convolutional neural networks (CNNs) for medical image analysis and contributed to natural language processing (NLP) systems. Proficient in Python, C++, Bash, and AWS, with a strong track record of solving complex data and scientific problems. Published research on superfluids and gravito-electromagnetism.

个人介绍： Eric Cooper is an experienced educator with 14 years in Mathematics, teaching everything from high school intensive math to AP Statistics. He has served as an adjunct professor at Valencia and Doral College and is certified to teach college credit courses. Currently, he works as an adjunct dual enrollment math teacher at Doral College. Proficient in various teaching tools (e.g., MathXL, Canvas), he excels in preparing students for state-based tests and PSAT/SAT/ACT, with all teaching observations rated effective or highly effective. He is interested in continuing his career in education at the college level.

个人介绍： A Master of Science in Mathematics from Florida State University, with a B.A. in Mathematics and Physics from Harvard University. Has 6 years of teaching experience, serving as Adjunct Faculty at Tallahassee Community College and Teaching Fellow at Harvard University and University of Nairobi. Specializes in college algebra, precalculus, business calculus, and advanced topics like noncommutative algebraic geometry. Proficient in MATLAB, Python, and Canvas. Mentored students in research projects and math competitions (International Math Olympiad). Developed innovative teaching methods, integrating historical context to enhance student engagement. Experienced in tutoring GRE math and providing personalized academic support.