Ssu-Han Chen | Deep learning | Best Researcher Award

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Prof. Ssu-Han Chen | Deep learning | Best Researcher Award

Prof at Ming Chi University of Technology, Taiwan

Ssu-Han Chen is a dedicated professor at the Department of Industrial Engineering and Management and serves as the Deputy Director of the Center for Artificial Intelligence & Data Science at Ming Chi University of Technology in New Taipei City, Taiwan. He earned his Ph.D. in Industrial Engineering and Management from National Chiao Tung University in 2010. His research interests encompass big data analysis, deep learning, digital image processing, and patentometrics.

 

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šŸŽ“Qualifications

Ph.D. in Industrial Engineering and Management, National Chiao Tung University, Taiwan (Sep. 2006 ā€“ Feb. 2010) M.A. in Industrial Engineering and Management, National Taipei University of Technology, Taiwan (Sep. 2004 ā€“ Jun. 2006) B.A. in Business Administration, National Dong Hwa University, Taiwan (Sep. 2000 ā€“ Jun. 2004)

šŸ«Professional Experience

Professor, Department of Industrial Engineering and Management, Ming Chi University of Technology, Taiwan (Aug. 2023 ā€“ Present). Deputy Director, Center for Artificial Intelligence & Data Science, Ming Chi University of Technology, Taiwan (Sep. 2019 ā€“ Present). Associate Professor, Department of Industrial Engineering and Management, Ming Chi University of Technology, Taiwan (Aug. 2018 ā€“ July 2023). Assistant Professor, Department of Industrial Engineering and Management, Ming Chi University of Technology, Taiwan (Aug. 2013 ā€“ July 2018). Post-doctoral Researcher, Department of Mechanical Engineering and Department of Library and Information Science, National Taiwan University, Taiwan (Aug. 2010 ā€“ July 2013)

šŸ“šĀ  Publications

  • The dynamic effect of trading between China and Taiwan under exchange rate fluctuations
    • Authors: T.-Y. Yang, C. Liu, Y.-T. Yang, S.-H. Chen
    • Journal: Humanities and Social Sciences Communications, 2023, 10(1), 397
    • Citations: 1
    • Access: Open access

 

  • Real-Time Video Smoke Detection Based on Deep Domain Adaptation for Injection Molding Machines
    • Authors: S.-H. Chen, J.-H. Jang, M.-J. Youh, J.-K. Lin, K.F.-R. Liu
    • Journal: Mathematics, 2023, 11(17), 3728
    • Citations: 0
    • Access: Open access

 

  • Dynamic effect of economic growth on the persistence of suicide rates
    • Authors: T.-Y. Yang, Y.-T. Yang, S.-H. Chen, Y.-T. Lan, C.-J. Peng
    • Journal: Geospatial Health, 2023, 18(1), 1201
    • Citations: 0
    • Access: Open access

 

  • Optimizing a U-Shaped Conveyor Assembly Line Balancing Problem Considering Walking Times between Assembly Tasks
    • Authors: Y. Kuo, S.-H. Chen, T. Yang, W.-C. Hsu
    • Journal: Applied Sciences (Switzerland), 2023, 13(6), 3702
    • Citations: 0
    • Access: Open access

 

  • Relationship between crude oil price and production levelsā€”An empirical study of OPEC and non-OPEC states
    • Authors: T.-Y. Yang, S.-H. Chen, Y.-T. Yang, H.-H. Chang
    • Journal: Frontiers in Environmental Science, 2022, 10, 933431
    • Citations: 3
    • Access: Open access

 

  • A surface defect detection system for golden diamond pineapple based on CycleGAN and YOLOv4
    • Authors: S.-H. Chen, Y.-W. Lai, C.-L. Kuo, C.-H. Kang, C.-C. Tsai
    • Journal: Journal of King Saud University – Computer and Information Sciences, 2022, 34(10), pp. 8041ā€“8053
    • Citations: 11
    • Access: Open access

 

  • Applying an artificial intelligence model using multidimensional spatial-temporal data to predict arsenic contamination of groundwater
    • Authors: K.-H. Chen, S.-H. Chen
    • Journal: Process Safety and Environmental Protection, 2022, 163, pp. 362ā€“367
    • Citations: 4
    • Access: Not specified

 

  • An Automatic Foreign Matter Detection and Sorting System for PVC Powder
    • Authors: S.-H. Chen, J.-H. Jang, Y.-R. Chang, Y.-S. Hsueh, M.-J. Youh
    • Journal: Applied Sciences (Switzerland), 2022, 12(12), 6276
    • Citations: 2
    • Access: Open access

 

  • Evaluating Digital Divide Based on Big Wireless Logs: A Case Study among Remote Tribes in Taiwan
    • Authors: S.-H. Chen, H.-C. Li, Y.-C. Liaw, T.-V. Le, W.-L. Luo
    • Journal: Libri, 2022, 72(2), pp. 183ā€“198
    • Citations: 2
    • Access: Open access

 

 

Mohamed Abakar | Material Science | Best Researcher Award

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Mr. Mohamed Abakar | Material Science | Best Researcher Award

Ms at Sudan University of Science & Technology / King Abdulaziz University Sudan

A highly enthusiastic chemist with a Bachelorā€™s degree in Chemistry from Sudan University of Science & Technology and a Masterā€™s degree in Chemistry from King Abdulaziz University. Mohamed has a solid theoretical and practical background in chemistry, complemented by hands-on experience in quality control at Tabuk Pharmaceuticals Co. Ltd. and academic involvement as a Teaching Assistant at Sudan University of Science & Technology. Mohamed is eager to leverage his skills in challenging roles that contribute to organizational success.

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šŸ“ Evaluation for Best Researcher Award

Strengths for the Award:

  1. Academic Excellence: Mohamed Adam Adam Abakar has demonstrated strong academic performance, particularly in his Master of Science in Chemistry from King Abdulaziz University, where he achieved a GPA of 4.54/5.0.
  2. Research Contributions: His research work, especially the publication on “Alginate wrapped NiO-ZnO nanocomposites-based catalysts for water treatment” in the Journal of Experimental Nanoscience, showcases his ability to contribute valuable knowledge to the field of chemistry.
  3. Practical Experience: Mohamed’s roles as a Quality Control Analyst at Tabuk Pharmaceuticals Industry and a Teaching Assistant at Sudan University of Science and Technology highlight his hands-on experience and his ability to apply theoretical knowledge in practical settings.
  4. Technical Skills: He possesses expertise in advanced characterization techniques, such as NMR, FTIR, UV-Vis, Mass Spectrometry, HPLC, XRD, FESEM, and EDS, making him a well-rounded researcher capable of conducting complex analyses.
  5. Professionalism: His commitment to deadlines, adaptability to new environments, and strong work ethic further reinforce his qualifications for the award.

Areas for Improvement:

  1. Broaden Research Scope: While Mohamed has made significant contributions in specific areas, expanding his research to include interdisciplinary approaches or emerging trends in chemistry could enhance his overall impact.
  2. Publication Record: Increasing the number of published research articles in high-impact journals would further solidify his standing in the academic community.
  3. Leadership in Research: Taking on leadership roles in research projects or collaborations could strengthen his candidacy by demonstrating his ability to guide and mentor other researchers.

 

Education:

M.Sc. in Chemistry, King Abdulaziz University GPA: 4.54/5.0. B.Sc. in Chemistry, Sudan University of Science & Technology GPA: 2.79/4.0

Professional Experience:

Quality Control, Tabuk Pharmaceuticals Industry Analyzed finished goods, raw materials, and conducted stability and research and development assessments. Teaching Assistant, Sudan University of Science & Technology Demonstrated lab work and provided tutorial sessions.

Skills:

Proficient in characterization techniques: NMR, FTIR, UV-Vis, Mass, HPLC, XRD, FESEM, EDS.. Strong work ethic, deadline-oriented, adaptable, and professional.

 

šŸ“šĀ  Publications

  • Title: Alginate-wrapped NiO-ZnO nanocomposites-based catalysts for water treatment

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 1.Ā  Authors: Mohamed Adam Adam Abakar, Sher Bahadar Khan

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 2.Ā  Journal: Journal of Experimental Nanoscience

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 3.Ā  Ā Publication Date: July 18, 2024

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 4.Ā  Ā Type: Journal Article

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 5.Ā  Ā DOI: 10.1080/17458080.2024.2375787

Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā  Ā 6.Ā  Ā ISSN: 1745-8080, 1745-8099

Conclusion:

Considering Mohamed Adam Adam Abakar’s academic achievements, research contributions, and practical experience, he is a strong candidate for the Best Researcher Award. His dedication to his field, proven research abilities, and potential for future contributions make him well-suited for this recognition. With continued growth in his research scope and leadership, Mohamed is poised to make even more significant contributions to the scientific community.