Afsaneh Mojra | Biomedical Engineering | Best Researcher Award

Assoc. Prof. Dr. Afsaneh Mojra | Biomedical Engineering | Best Researcher Award

Associate Professor in Mechanical Engineering at K. N. Toosi University of Technology, Iran

Dr. Afsaneh Mojra 🎓 is an Associate Professor at K. N. Toosi University of Technology in Tehran 🇮🇷. She is internationally recognized for her innovative research 🔬 in biomechanics, cancer detection, and therapy. With a PhD from Amirkabir University of Technology and a research fellowship at TU Eindhoven 🇳🇱, she combines experimental studies 🧪, CFD modeling 💻, and mathematical simulations 📈. A passionate educator and a leader in biomedical engineering 🏥, Dr. Mojra actively collaborates with global universities 🌍 and serves as a reviewer for top scientific journals 📚. Her work is awarded and honored nationally 🏆.

Professional Profile:

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🔹 Education and Experience 

🎓 Ph.D. Biomedical Engineering – Biomechanics, Amirkabir University of Technology (GPA: 19.2/20) (2006-2011)
🌍 Research Fellowship in Biomedical Engineering – Biomechanics, Eindhoven University of Technology, Netherlands (2009-2011)
🎓 M.Sc. Biomedical Engineering – Biomechanics, Amirkabir University of Technology (GPA: 18.5/20) (2004-2006)
🎓 B.Sc. Mechanical Engineering – Solids Design, Sharif University of Technology (GPA: 15.4/20) (1999-2004)
📚 Diploma in Mathematics and Physics, National Organization for Developing Exceptional Talents (GPA: 18.8/20) (1995-1999)
👩‍🏫 Associate Professor, K. N. Toosi University of Technology (2019–Present)
👩‍🏫 Assistant Professor, K. N. Toosi University of Technology (2013–2019)

🔹 Professional Development 

Dr. Afsaneh Mojra is a highly active academic professional 🌟. She is a member of prestigious organizations such as the Iran Academy of Sciences 📖, the Iranian Society of Engineering Education 🛠️, and the Iranian Society of Mechanical Engineers ⚙️. A proud member of the National Elite Foundation of Iran 🌟, she also headed the K. N. Toosi University of Technology Publications 📰. Her international collaborations span top universities worldwide 🌍. Dr. Mojra is also a dedicated reviewer for high-impact journals 🧾, constantly contributing to the advancement of biomedical and mechanical engineering research 🧠.

🔹 Research Focus 

Dr. Afsaneh Mojra’s research focuses on the cutting edge of biomechanics 🧬 and biomedical engineering 🏥. She specializes in the mechanics of soft tissue 💪, cancer detection methods 🎯, cellular mechanics 🔬, and therapeutic innovations 💉. Her work blends experimental investigations (in vivo, in vitro, ex vivo) 🧪 with advanced computational modeling 🖥️ and CFD simulations 🌊. By integrating mathematical modeling 📈 and engineering principles 🏗️, Dr. Mojra develops pioneering approaches for early disease diagnosis and treatment. Her projects often bridge the gap between fundamental research and clinical application 🌟, advancing pre-clinical R&D globally 🌍.

🔹 Awards and Honors 

🏆 Educational Excellence Award, K. N. Toosi University of Technology (2023)
🏆 Excellence in Supervising Project Award, K. N. Toosi University of Technology (2024)
🏆 Laureate, Khwarizmi Awards (2011)
🏆 Laureate, Iranian Society of Mechanical Engineers (2016 and 2019)

Publication Top Notes

1. Development of a dual-frequency sonophoresis for enhanced skin permeability and efficient drug delivery

2. Development of a Prediction Model for Hyperthermia-Enhanced Drug Delivery using Thermosensitive Nanoparticles

3. Robust cavitation-based pumping into a capillary

  • Journal: Physics of Fluids

  • Date: December 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0238826

  • Source: Crossref

4. A novel passive flow control technique using circular arcs coupled with downstream splitters

5. Numerical analysis of ultrasound-mediated microbubble interactions in vascular systems: Effects on shear stress and vessel mechanics

  • Journal: Physics of Fluids

  • Date: August 1, 2024

  • Type: Journal Article

  • DOI: 10.1063/5.0213656

  • Source: Crossref

Conclusion:

Based on her strong academic record, international research impact, innovation in cancer detection methods, recognition through prestigious awards, and leadership within the academic community, Dr. Afsaneh Mojra is highly deserving of the Best Researcher Award.

She not only contributes cutting-edge research but also actively builds international scientific bridges and mentors the next generation of scientists — all critical qualities for a Best Researcher laureate.

Shengnan Zhang | Engineering | Best Researcher Award

Dr. Shengnan Zhang | Engineering | Best Researcher Award

None  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021–2024). She earned her master’s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020–2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.