外教人才

Brief Introduction： His doctoral research focused on developing advanced deep learning models, specifically self-attention mechanisms, for Person Re-Identification tasks. He has a strong publication record, with a first-author paper in a Q2 journal and another under review in a high-impact IEEE journal. With a solid foundation that includes a Master's degree from another well-regarded Chinese university, he possesses hands-on skills in popular deep learning frameworks like PyTorch and programming languages such as Python and C++. His experience includes a software development internship at a major IT company and four years of experience as a teaching assistant. He is an active contributor to the academic community, holding memberships in IEEE and serving as a peer reviewer. Fluent in English and possessing intermediate Chinese language skills (HSK-4), he is a dedicated early-career researcher seeking to apply his expertise in machine learning to solve real-world problems.

Brief Introduction： Senior Lecturer and Programme Leader in Early Childhood Studies with a PhD in Education. Extensive experience in curriculum development, research leadership, and external advisory roles. Principal investigator on multiple funded projects focusing on sustainability, spirituality in education, and Froebelian pedagogy. Published widely on children's participation, cultural identity, and early years policy. Active in professional associations and international consultancy for educational policy.

Brief Introduction： An accomplished Assistant Professor with a PhD in Mechanical Engineering from the University of Craiova, Romania. Specializes in internal combustion engines, biofuels, and combustion engineering. Has worked as a FAPESP Research Fellow in Brazil, focusing on alternative fuels and emission mitigation. Teaches Thermodynamics, Internal Combustion Engines, and Energy Resources, supervising undergraduate and graduate students. Published over 18 peer-reviewed papers, participating in international conferences and summer schools. Holds scholarships from Romanian Government and FAPESP, with expertise in MATLAB/Simulink and GT-Power. Combines experimental and numerical skills, researching biofuel combustion and cyclic variability in engines. Fluent in English, Urdu, and Portuguese, adaptable to diverse academic environments.

Brief Introduction： He is a dedicated graduate student and early-career researcher specializing in Biomedical Engineering. He is currently completing a Master of Engineering degree at a private university in the United States, building upon a strong foundation that includes a B.S. in Engineering and a B.A. in Theological Studies from the same institution. He has gained valuable hands-on experience through multiple roles at his university, serving as a Machine Shop Technician, Engineering Lab Technician, and Anatomy; Physiology Lab Assistant. His practical skills were further enhanced by a volunteer internship with Engineering World Health, where he worked as a Biomedical Equipment Technician. Academically, he has contributed to meaningful research, co-authoring a published conference paper on a non-invasive respiratory monitoring system and contributing to a genomic database submission. His ongoing research explores the biomechanical risks of knee osteoarthritis.

Brief Introduction： An award-winning University Lecturer and STEM Coach with a PhD in Mechanical Engineering (Robotics) from UESTC (China). Specializes in autonomous robot navigation, sensor fusion, and swarm intelligence. Has published top-tier SCI papers (IF up to 19.07) and holds Chinese patents. Teaches robotics, digital logic design, and electromechanical systems, integrating hands-on projects like gesture-controlled robotic arms and self-balancing robots. Fluent in English and Chinese, with extensive experience mentoring international students. Recognized with UESTC Outstanding Student and Best Presenter awards. Proficient in Python, MATLAB, ROS, and SolidWorks, bridging theoretical research with practical teaching. Committed to fostering student innovation through project-based learning.

Brief Introduction： He is a versatile engineer and scientist with a robust background in robotics, mechatronics, and applied physics. He recently earned a Ph.D. in Robotics and Mechatronic Systems Engineering from a leading technical university in Mexico, complemented in Physics. His expertise spans dynamical system modeling and control, algorithm design for autonomous navigation, FPGA prototyping, and cybersecurity principles. His professional experience includes academic roles, such as an Assistant Professorship where he taught circuit design and led robotics projects, and a Research Associate position where he advanced projects in UAV control and secure communications. He has a proven ability to apply theoretical knowledge to practical applications, from designing robotic systems to implementing security controls. Currently, he manages a technology consulting firm, delivering instructional services and enhancing clients' operational security and efficiency.

Brief Introduction： PhD in Statistics with extensive experience in data science education, curriculum development, and leadership roles. Authored the widely-used textbook "Statistical Inference via Data Science" and led teams at Flatiron School and DataCamp. Skilled in R, Python, SQL, and data visualization. Currently freelance educator and consultant focused on AI and data science training. Strong background in academic and industry applications of statistics.

Brief Introduction： Tenured Associate Professor of Sport Management at SUNY Fredonia (NY), holds a PhD in Sport Administration (Univ. of Northern Colorado). With 15+ years in academia, he has expertise in sport marketing/media/globalization, 5+ peer-reviewed publications, 2 teaching excellence awards, and 20+ years of sport industry practice (e.g., SK Wyverns consultant, MLB correspondent). He has visiting roles across Japan/Singapore/Czech Republic.

Brief Introduction： Assistant Professor of Sport Management at Texas A&M University, holds a PhD in Sport Management (Florida State Univ) & M.S./B.S. from Yonsei Univ (Korea). He has 64 publications (60 peer-reviewed, 1121 citations, h-index 17), expertise in sport consumer behavior/VR tech, teaches undergrad/grad courses, guides 7+ PhD students, and secures $71k+ research grants.

Brief Introduction： He is a senior academic and researcher with over two decades of extensive experience in teaching and research across a remarkable range of disciplines, including Data Science, Machine Learning, Artificial Intelligence, Computer Science, Electrical Engineering, Physics, and Nanotechnology. He holds a Ph.D. in Electrical Engineering/Physics from a reputable university in Japan. His professional journey includes professorial and associate professorial roles at various international universities across Asia, the Middle East, and North America. He has a proven track record of high-quality research, evidenced by a substantial number of publications in international journals and conferences. His research spans theoretical and applied fields, from modeling molecular electronic devices to applying machine learning for socio-economic data analysis. He is also adept at curriculum development and student supervision at all levels, demonstrating a strong commitment to advancing education and research.

Brief Introduction： (UK/Russian dual citizenship), with a PhD in Sport Studies & MBA in Football Industries, is an Assistant Professor at Northumbria Univ (2022–present) & MSc Sport Management Programme Leader. He has 20+ years in sport management (Red Bull, football clubs), 11+ years in academia, 290+ citations, and secured £62k+ research grants.

Brief Introduction： He holds a Ph.D. in Computer Science and Engineering and has completed post-doctoral research at a recognized university. With over 17 years of teaching experience and 9+ years as a Head of Department, they have a strong background in academic leadership and curriculum development for programs such in Data Science and M.Tech in IoT and Machine Learning. They have contributed to the field through multiple publications in reputed journals and conferences, and have edited a book on artificial intelligence applications in business. Additionally, they have created extensive online educational content, with over 150 hours of video lectures in computer science. Their research focuses on energy-efficient protocols in Wireless Sensor Networks, proposing innovative solutions to extend network longevity. They are also engaged as a subject matter expert with online learning platforms and have guided numerous student projects.