Hsin Yuan Chen | Engineering | Best Scholar Award

Prof  Hsin Yuan Chen | Engineering | Best Scholar Award

Professor at Zhejiang University, China.

Prof. Jade H.-Y. Chen is a globally recognized scholar, innovator, and thought leader in artificial intelligence, aerospace, smart healthcare, and digital transformation. With a rich academic and entrepreneurial background, she has bridged the gap between cutting-edge research and impactful real-world applications. Her work fuses disciplines such as AI, robotics, 6G communications, and biomedical informatics, earning her widespread acclaim across academia, industry, and government sectors. Passionate about technology for human-centered development, she has become a symbol of excellence in interdisciplinary research and innovation.

Profile:

Scopus |Google Scholar

Education:

Prof. Chen holds a Ph.D. in Mechanical Engineering from National Cheng Kung University, Taiwan, where she specialized in advanced systems engineering and intelligent technologies. Her academic foundation laid the groundwork for a multi-faceted career spanning smart systems, AI algorithms, and automation. She also pursued advanced research fellowships at institutions like MIT, McGill University, and Washington University, further expanding her technical horizon and global academic influence.

Professional Experience:

She currently serves as Dean, CTO, and Director in various academic and technological institutions across Taiwan and the Asia-Pacific region. Prof. Chen plays a leading role in cross-sectoral innovation—advising AI startups, mentoring young researchers, and collaborating with multinational firms on smart manufacturing and health-tech projects. Her professional influence extends beyond borders, making her a strategic figure in global digital transformation efforts.

Research Experience:

Prof. Chen has spearheaded more than 30 national and international research projects focusing on artificial intelligence, digital twins, smart agriculture, aerospace propulsion, and blockchain-integrated healthcare. She has published over 20 SCI-indexed articles in reputed journals such as Scientific Reports and Nature Humanities and Social Sciences Communications. Her research is often interdisciplinary—blending soft computing, big data, remote sensing, and human-centered AI—making her a pioneer in solving complex problems with integrated approaches.

Awards & Honors:

Prof. Chen has received numerous accolades, including the Outstanding Scientist Award 2024 from ScienceFather, IEEE Talents Award, and recognition as a Fellow of IET (UK) and ASEAN Fellow. She has also been appointed as a Changjiang Scholar Distinguished Professor, one of the most prestigious academic titles in China. In addition, her contributions have been recognized through international keynote speaker invitations and advisory roles in top global conferences and journals.

Global Collaborations:

Prof. Chen has engaged in international R&D partnerships with institutions such as University of California, University of Texas, and University of Sydney. She has delivered over 100 keynote and plenary talks in 15+ countries, emphasizing her role as a global voice in science and innovation. Her efforts have directly contributed to smart city development, AI-driven agriculture, medical data analytics, and aerospace AI systems.

Publications:

  • Exploring the sensitivity of next generation gravitational wave detectors
    BP Abbott, R Abbott, TD Abbott, MR Abernathy, K Ackley, C Adams, …
    Classical and Quantum Gravity, 34(4), 044001 (2017) – Cited by 1,529

  • Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies
    E Abdalla, GF Abellán, A Aboubrahim, A Agnello, Ö Akarsu, Y Akrami, …
    Journal of High Energy Astrophysics, 34, 49–211 (2022) – Cited by 1,319

  • Carbon nanotube computer
    MM Shulaker, G Hills, N Patil, H Wei, HY Chen, HSP Wong, S Mitra
    Nature, 501(7468), 526–530 (2013) – Cited by 1,227

  • Three-dimensional reconstruction of a solid-oxide fuel-cell anode
    JR Wilson, W Kobsiriphat, R Mendoza, HY Chen, JM Hiller, DJ Miller, …
    Nature Materials, 5(7), 541–544 (2006) – Cited by 1,018

  • GPR55 is a cannabinoid receptor that increases intracellular calcium and inhibits M current
    JE Lauckner, JB Jensen, HY Chen, HC Lu, B Hille, K Mackie
    PNAS, 105(7), 2699–2704 (2008) – Cited by 893

  • Plasmonic nanolaser using epitaxially grown silver film
    YJ Lu, J Kim, HY Chen, C Wu, N Dabidian, CE Sanders, CY Wang, MY Lu, …
    Science, 337(6093), 450–453 (2012) – Cited by 878

  • Translation and back‐translation in qualitative nursing research: methodological review
    HY Chen, JRP Boore
    Journal of Clinical Nursing, 19(1–2), 234–239 (2010) – Cited by 870

  • Hyper Suprime-Cam: System design and verification of image quality
    S Miyazaki, Y Komiyama, S Kawanomoto, Y Doi, H Furusawa, T Hamana, …
    Publications of the Astronomical Society of Japan, 70(SP1), S1 (2018) – Cited by 645

  • The H0 Olympics: A fair ranking of proposed models
    N Schöneberg, GF Abellán, AP Sánchez, SJ Witte, V Poulin, …
    Physics Reports, 984, 1–55 (2022) – Cited by 468

  • Hyper Suprime-Cam
    S Miyazaki, Y Komiyama, H Nakaya, Y Kamata, Y Doi, T Hamana, …
    SPIE Proceedings: Ground-based and Airborne Instrumentation for Astronomy IV, 8446 (2012) – Cited by 380

Jamal Raiyn | Engineering | Best Researcher Award

Prof. Dr. Jamal Raiyn | Engineering | Best Researcher Award

Researcher at Technical University of Applied Sciences Aschaffenburg Sciences, Aschaffenburg, Germany.

Dr. Jamal Raiyn is a distinguished researcher in applied computer science, recognized for his innovative contributions to autonomous systems, cybersecurity, and urban livability. With a focus on using computational intelligence to solve real-world challenges, his work spans diverse areas such as vehicle safety, data science, and natural product bioactivity. Dr. Raiyn has an extensive publication record, including high-impact journals like Smart Cities and PLoS ONE. His research integrates interdisciplinary approaches, bridging technology with societal needs. Notably, his work on data-driven anomaly detection and computational methods for vehicle networks has garnered global recognition. Dr. Raiyn’s passion for collaborative research and impactful problem-solving continues to define his professional journey.

Professional Profile:

Education

Dr. Raiyn holds advanced degrees in computer science, specializing in applied computational techniques. His academic foundation equips him with a robust understanding of data systems, artificial intelligence, and cybersecurity. Details about the institutions he attended and specific degrees earned could further solidify his academic credentials in this profile.

Professional Experience

Dr. Raiyn has extensive experience as a researcher and academic, contributing significantly to both theoretical advancements and practical applications in his field. Over the years, he has collaborated with various organizations and universities, leading projects that focus on enhancing safety, livability, and efficiency in urban and technological systems.

Research Interests

Dr. Raiyn’s primary research interests include computational intelligence, autonomous systems, vehicular networks, and cybersecurity. His work frequently explores interdisciplinary domains, such as integrating AI into naturalistic driving studies, predicting autonomous driving behaviors, and advancing maritime cybersecurity. These interests demonstrate a commitment to addressing contemporary challenges in technology and society.

Research Skills

Dr. Raiyn’s skills encompass advanced data analysis, machine learning, cybersecurity modeling, and system optimization. His expertise in computational intelligence allows him to solve complex, multi-dimensional problems. Proficiency in handling diverse data sets and developing predictive models has been pivotal in his impactful research contributions.

Awards and Honors

Dr. Raiyn’s research excellence has earned him multiple accolades, including recognition for his papers in the “Top 10 Must-Read Data Science Research Papers in 2022.” His highly cited works in applied sciences highlight his contributions to global knowledge. Awards for impactful publications and invited talks further reflect his standing in the academic community.

Conclusion

Dr. Jamal Raiyn’s impressive career in applied computer science exemplifies excellence in research, innovation, and societal impact. His ability to tackle pressing global issues through advanced computational techniques positions him as a leader in his field. With continued dedication to high-quality research and collaboration, Dr. Raiyn is well-deserving of recognition and accolades, including the Best Researcher Award.

Publication Top Notes

  1. Improving the Perception of Objects Under Daylight Foggy Conditions in the Surrounding Environment
    • Authors: Chaar, M.M., Raiyn, J., Weidl, G.
    • Year: 2024
  2. From Sequence to Solution: Intelligent Learning Engine Optimization in Drug Discovery and Protein Analysis
    • Authors: Raiyn, J., Rayan, A., Abu-Lafi, S., Rayan, A.
    • Year: 2024
  3. Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2024
    • Citations: 1
  4. Analysis of Driving Behavior in Adverse Weather Conditions
    • Authors: Raiyn, J., Chaar, M.M., Weidl, G.
    • Year: 2024
  5. Improve Bounding Box in Carla Simulator
    • Authors: Chaar, M.M., Raiyn, J., Weidl, G.
    • Year: 2024
    • Citations: 1
  6. Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2023
    • Citations: 1
  7. Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2023
    • Citations: 4
  8. Detection of Road Traffic Anomalies Based on Computational Data Science
    • Authors: Raiyn, J.
    • Year: 2022
    • Citations: 4
  9. Road Traffic Anomaly Detection Based on Deep Learning Technology
    • Authors: Raiyn, J.
    • Year: 2021
    • Citations: 1
  10. Classification of Road Traffic Anomaly Based on Travel Data Analysis
    • Authors: Raiyn, J.
    • Year: 2021
    • Citations: 6