Mahshid Jalali Dehkordi | Biomedical Optical Engineering | Best Researcher Award

Mrs. Mahshid Jalali Dehkordi | Biomedical Optical Engineering | Best Researcher Award

Master student at Isfahan university of technology, Iran

Mahshid Jalali Dehkordi is a passionate and accomplished researcher in the field of materials science and engineering. Currently pursuing her Master’s degree at Isfahan University of Technology (IUT) in Iran, she focuses on advanced biomaterials for bone tissue engineering. With a strong academic background and hands-on experience, Mahshid has contributed to innovative solutions in biomedical applications and published notable research articles in reputable journals.

Profile

Google Scholar

Education🎓

Mahshid began her academic journey with a Bachelor of Science in Materials and Metallurgical Engineering from Shahrekord University (2018–2022), achieving a stellar GPA of 3.9/4.0. Her undergraduate research explored the application of piezoelectricity in medicine. She is currently pursuing her Master’s degree in Identification and Selection of Engineering Materials at IUT (2022–2025), with a focus on synthesizing and evaluating advanced biomaterials for bone tissue repair.

Experience🌐

Mahshid’s professional journey includes internships at Mobarakeh Steel Company and the Shahrekord Institute for the Central Council of Materials Engineering. As a teaching assistant and research assistant at IUT, she has honed her academic and technical skills. Her ongoing projects involve designing ultra-antimicrobial surfaces and characterizing bioactive coatings for orthopedic implants.

Research Interests🔬

Mahshid’s research interests include:

  • Additive manufacturing and 3D printing
  • Polymeric biomaterials
  • Bioactive coatings and tissue engineering
  • Drug delivery systems and stem cell research

Awards and Honors🏆

Mahshid consistently ranked 4th in GPA among her peers throughout her undergraduate studies, reflecting her dedication and academic excellence.

Publications🔖

Mahshid has authored significant papers:

  • Surface Modification of Anodized Titanium Surfaces with Chitosan/ε-Polylysine Coating (2024). Published in Surfaces and Interfaces, this article focuses on improving bioactivity and antibacterial properties for orthopedic applications. View Article
  • The Promising Application of Pectin/ɛ-Polylysine as Coating Materials on Anodized Titanium Surfaces (2024). Published in Colloids and Surfaces A, this study explores biomedical properties of novel coatings. View Article

Conclusion✨

Mahshid Jalali Dehkordi demonstrates strong qualifications and a promising track record of academic and research excellence. Her focus on biomaterials and biomedical applications positions her as a strong candidate for the Best Researcher Award. While her achievements are impressive, enhancing international visibility and expanding her research scope would strengthen her profile further. Overall, she is a deserving nominee who showcases significant potential to contribute to materials science and biomedical engineering advancements.

 

Rachel merveille fomekong | Biophotonics Systems Integration | Computational Biophotonics Award

Mrs. Rachel merveille fomekong | Biophotonics Systems Integration | Computational Biophotonics Award

Ph.D. Candidate at Guangdong Ocean University, China

Fomekong Fomekong Rachel Merveille is a dedicated and innovative researcher specializing in underwater robotics, SLAM (Simultaneous Localization and Mapping), deep learning, and sensor fusion. Currently pursuing a PhD at Guangdong Ocean University in China, she is passionate about leveraging advanced technologies to enhance navigation and environmental perception in unmanned underwater vehicles (UUVs). With expertise in designing robotic systems and integrating cutting-edge tools, Rachel is committed to pushing the boundaries of underwater navigation systems.

Profile

ORCID

Education 🎓

Rachel holds a Bachelor’s degree in Physics (Fundamental Physics) and a Master’s in Environmental Physics from the University of Yaoundé 1 in Cameroon. She further advanced her academic journey with a Master’s in Control Engineering from Huzhou University, China, focusing on robotic solutions for manufacturing. Currently, she is completing her PhD in Marine Engineering at Guangdong Ocean University, with a thesis emphasizing multi-sensor integration for enhancing underwater SLAM systems.

Experience 🛠️

Rachel has extensive experience in underwater robotics, having worked as a Robotics Operator at Guangdong Ocean University. Her contributions include integrating sensor fusion techniques to improve underwater navigation. She also gained hands-on expertise in drone assembly and 3D printing at Huzhou University and contributed to automation projects in manufacturing industries. In Cameroon, she co-designed an educational platform and supported mechanical physics education for high school students.

Research Interests 🔬

Rachel’s research focuses on enhancing underwater SLAM systems through deep learning and sensor fusion. Her interests span underwater navigation, environmental perception, point cloud processing, and autonomous systems design. She is particularly intrigued by the potential of neural networks in optimizing underwater vehicle operations.

Awards 🏆

Rachel has received numerous accolades, including the Guangdong Provincial Scholarship (2022, 2023), the Zhejiang Provincial Scholarship for Excellent International Students (2021), and a Graduate Merit Scholar Award from Huzhou University. Her accomplishments underscore her academic excellence and dedication to innovation.

Publications 📚

Rachel has published influential articles on underwater robotics and Industry 4.0 technologies:

Enhancing Manufacturing Efficiency: A New Robotic Arm Design for Injection Molding with Improved Adaptability and Precision

  • Date: 2024-11-27
  • Type: Preprint
  • DOI: 10.21203/rs.3.rs-5524250/v1
  • Contributors: Fomekong Fomekong Rachel Merveille, HuGe Jile, Bissih Fred

Advancements in Sensor Fusion for Underwater SLAM: A Review on Enhanced Navigation and Environmental Perception

  • Date: 2024-11-24
  • Type: Journal article
  • DOI: 10.3390/s24237490
  • Contributors: Fomekong Fomekong Rachel Merveille, Baozhu Jia, Zhizun Xu, Bissih Fred

Enhancing Underwater SLAM Navigation and Perception: A Comprehensive Review of Deep Learning Integration

  • Date: 2024-10-31
  • Type: Journal article
  • DOI: 10.3390/s24217034
  • ISSN: 1424-8220
  • Contributors: Fomekong Fomekong Rachel Merveille, Baozhu Jia, Zhizun Xu, Bissih Fred

Conclusion 🌟

While Fomekong demonstrates exceptional technical expertise and computational skills, their research focus is not directly related to computational biophotonics. They might be more suited to awards in robotics, sensor fusion, or machine learning applications in engineering. For the Computational Biophotonics Award, candidates with specific experience in photonics, optical imaging, or biophysics would be stronger contenders.