Shuo-Tsung Chen | Biophotonics in Diagnostics | Biosensing Breakthrough Award

Prof. Shuo-Tsung Chen | Biophotonics in Diagnostics | Biosensing Breakthrough Award

National Kaohsiung University of Science and Technology | Taiwan

Professor Shuo-Tsung Chen is a dedicated researcher and educator with a strong interdisciplinary background in mathematics, electrical engineering, and biomedical engineering. He holds advanced degrees in mathematics and electrical engineering and has extensive experience in both academic research and teaching. Professor Chen has held various academic and research positions at respected institutions in Taiwan, focusing on areas such as signal and image processing, biomedical engineering, artificial intelligence, Internet of Things (IoT), information hiding, big data analytics, and optimal control system design. His work bridges engineering principles with medical and intelligent technologies, contributing to innovative developments in healthcare systems, smart devices, and data-driven applications. Committed to advancing research at the interface of technology and human health, Professor Chen plays a vital role in driving progress within fields such as biophotonics, biosensing, and intelligent system design.

Profile : Orcid 

Featured Publications

  • “Chang, C.-L., Tsai, Y.-L., Chang, C.-Y., & Chen, S.-T. (2021). Emergency evacuation planning via the point of view on the relationship between crowd density and moving speed. Wireless Personal Communications, 120(1), 419–438.”

  • “Chen, C.-J., Huang, H.-N., Tu, S.-Y., Lin, C.-H., & Chen, S.-T. (2021). Digital audio watermarking using minimum-amplitude scaling on optimized DWT low-frequency coefficients. Multimedia Tools and Applications, 80(2), 2417–2438.”e

  • “Chen, D., Lu, Y., & Hsu, C.-Y. (2022). Measurement invariance investigation for performance of deep learning architectures. IEEE Access, 10, 79839–79850.”

  • “Chen, S.-Y., Lin, S.-J., Tsai, M.-C., Tsai, M.-D., Tang, Y.-J., Chen, S.-T., & Wang, L.-H. (2021). Patient confidential information transmission using the integration of PSO-based biomedical signal steganography and threshold-based compression. Journal of Medical and Biological Engineering, 41(4), 547–555.”

  • “Hsu, C.-Y., Qiao, Y., Wang, C., & Chen, S.-T. (2020). Machine learning modeling for failure detection of elevator doors by three-dimensional video monitoring. IEEE Access, 8, 201708–201719.”

Mohammad Amin Mokhtari | Clinical Biophotonics Applications | Best Researcher Award

Mr. Mohammad Amin Mokhtari | Clinical Biophotonics Applications | Best Researcher Award

Research Assistant at Isfahan University of Technology, Iran

Mohammad Amin Mokhtari is a dedicated research assistant in Materials Engineering based in Isfahan, Iran. With extensive expertise in advanced materials, surface engineering, and nano-structured coatings, he has significantly contributed to biomedical and industrial applications. His academic achievements, publications, and ongoing research make him a promising figure in the field of materials science.

Profile

Education🎓

M.Sc. in Materials Engineering (2018–2022)

  • Institution: Isfahan University of Technology, Isfahan, Iran
  • Thesis: Transient Liquid Phase (TLP) Bonding of Ti-6Al-4V/UNS32750 Stainless Steel Using Cu/CNT Composite as Interlayer
  • Supervisors: Prof. Morteza Shamanian and Dr. Abbas Bahrami
  • GPA: 3.92/4.00
  • Achievements: Graduated first in his class, received a full scholarship, and authored two journal articles.

B.Sc. in Materials Engineering (2014–2018)

  • Institution: Malayer University, Malayer, Iran
  • Thesis: Pseudocapacitive Performance of Electrodeposited Porous Co3O4 Film on Modified Graphite Electrodes with CNTs
  • Supervisor: Dr. Mahdi Kazazi
  • GPA: 3.77/4.00
  • Achievements: Published one journal article and graduated in the top 10% of his class with a full scholarship.

Experience💼

Research Assistant (2022–Present)

  • Department of Materials Engineering, Isfahan University of Technology
  • Synthesized advanced coatings and nano-structured materials for biomedical and energy applications.
  • Projects included Cr-doped TiO₂ nanotubes, wollastonite scaffolds, and Ni-P coatings.

R&D Scientist (2022–2024)

  • Fulfilled military service by enhancing surface properties of body implants for biomedical applications.

Lab Assistant (2018–2022)

  • Assisted in material characterization labs, helping students and supporting research.

Assistant English Teacher (2020–2021)

  • Gooyesh Language Institute, Isfahan, Iran
  • Helped students improve English language skills.

Research Interests🔬

● Materials Characterization ● Advanced Materials ● Surface Engineering ● Coating and Thin Films ● Nano-structured Materials 🔮

Honors and Awards🏅

Best Practical Research Award (2024): For a military project on surface modification of body implants.

First in M.Sc. Class (2022): Graduated as the top-ranked student.

Full Scholarship for M.Sc. (2018): Awarded by Isfahan University of Technology.

Top 10% in B.Sc. Class (2018): Recognized for academic excellence.

Full Scholarship for B.Sc. (2014): Awarded by Malayer University. 🏆

Publications📖

Title: The promising application of pectin/ɛ-polylysine as coating material on anodized titanium surfaces for orthopedic implants: Preparation, characterization, and biomedical properties

Year: 2025

Citations: 1

Title: Transient Liquid Phase Bonding of Ti-6Al-4V/UN32750 Stainless Steel Using Cu and Cu-0.5 wt.% Carbon Nanotube Composite Interlayers

Year: 2024

Citations: 0

Title: Transient liquid phase (TLP) bonding of Ti-6Al-4V/AISI 304 stainless steel using Cu/CNT composite interlayer

Year: 2022

Citations: 9

Title: Pseudocapacitive performance of electrodeposited porous Co₃O₄ film on electrophoretically modified graphite electrodes with carbon nanotubes

Year: 2018

Citations: 31

Conclusion🌟

Mohammad Amin Mokhtari demonstrates exceptional academic and research capabilities, especially in the field of advanced materials and surface engineering for biomedical applications. His strong foundation in experimental techniques, publications in reputed journals, and commitment to impactful research make him a compelling candidate for the Best Researcher Award. Strengthening his global engagement and expanding his research scope would further solidify his candidacy in future evaluations.