Assoc Prof Dr. Tang Jian, Magnetic Materials, Best Researcher Award

Associate Professor at Aba Normal University, China

Tang Jian is an esteemed theoretical physicist and Associate Professor at Aba Normal University. Holding a Bachelor’s in Physics from West China Normal University, he has been dedicated to academic excellence. With a prolific research career, Tang’s contributions span black hole physics, particularly tunneling behavior across various black holes. His noteworthy publications include elucidations on Einstein-Born-Infeld and charged Taub–NUT black holes. As Principal Investigator, he leads a Sichuan Provincial research project. Tang Jian’s commitment to advancing theoretical physics is evident through his impactful research and academic roles.

Professional Profiles:

Scopus profile

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Educational Background:📚

Bachelor’s Degree in Physics, West China Normal University, 1999-09 to 2003-07

Scientific Research and Academic Work Experience:

Professor, Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan (02/2023 – Present) Dean of International Academy & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2022 – 01/2023) Chief of Global Affairs Office & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2021 – 01/2022) Deputy Chief of Global Affairs Office & Professor, Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan (08/2019 – 07/2021) And several other academic roles spanning various universities.

Representative Research Results and Academic Awards:

“Remarks on the Tunneling Behavior of Scalar Particles Across Einstein-Born-Infeld Black Holes,” INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2016. “GUP Corrected Fermion Tunnelling from 2+1 Dimensional Black String,” INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2016. “Violation of the chaos bound in charged Taub–NUT black holes,” Canadian Journal of Physics, 2023.

Research Focus:

Chih-Yang Lin’s research primarily focuses on digital image processing and multimedia security. With a notable emphasis on reversible steganography, he has contributed groundbreaking work in lossless data hiding, employing techniques like block truncation coding and side matching. Lin’s expertise extends to haze effect removal, dynamic hand gesture recognition, and efficient dehazing methods. He has delved into feature-based sparse representation, perfect hashing schemes, and real-time background modeling. Lin’s research in identification and tracking of players in sport videos, along with his work on sequential dual attention networks for rain streak removal, showcases his diverse contributions to the fields of image processing and computer vision.