Dr Susana Novais | Physical Sensors | Best Researcher Award

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Dr Susana Novais |Physical Sensors| Best Researcher Award

Dr Susana Novais ,Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência INESC TEC, Portugal

Dr. Susana Cristina Ribeiro Novais is an expert in optics and optoelectronics, currently serving as an Assistant Researcher at INESC TEC in Portugal. With extensive experience in both research and academic environments, Dr. Novais has made significant contributions to the field of optical fiber sensors and biomedical technologies. She holds a Ph.D. in Physics Engineering with a specialization in Optics and Optoelectronics, and has been involved in numerous high-impact research projects and international conferences. Her work is recognized for its innovation and depth, positioning her as a leading figure in her domain.

Professional Profile:

Suitability for the Best Researcher Award: 

Susana Cristina Ribeiro Novais is a highly deserving candidate for the Best Researcher Award due to her significant contributions to the fields of optics and biomedical technologies. Her impressive research output, leadership roles, and active participation in academic and professional communities highlight her exceptional qualifications. By addressing the identified areas for improvement, Dr. Novais could further strengthen her already distinguished profile, making her an exemplary choice for this prestigious recognition. Her work not only advances scientific knowledge but also has practical implications in technology and healthcare, underscoring her value as a leading researcher.

Education

Dr. Susana Cristina Ribeiro Novais earned her Ph.D. in Physics Engineering, specializing in Optics and Optoelectronics, from Universidade de Aveiro, Portugal, in February 2019, with distinction. Her doctoral thesis focused on optical fiber sensors for challenging media. She completed her M.Sc. in Biomedical Technologies with a focus on Biomechanics and Rehabilitation at Instituto Politécnico de Bragança in 2012. Her B.Sc. in Biomedical Engineering, also from Instituto Politécnico de Bragança, was awarded in 2010, with a thesis on vital sign monitoring systems.

 Work Experience

Dr. Novais is currently an Assistant Researcher at INESC TEC, where she has been working since June 2021. Prior to this role, she served as a Research Fellow at INESC TEC and Universidade de Aveiro, contributing to several research projects in optics and biomedical technologies. Her experience also includes working with Johnson Matthey Systems in the UK and conducting short-term scientific missions at Helmholtz Institute and Johnson Matthey Battery Systems. Her roles have involved significant contributions to both applied and theoretical research.

 Skills

Dr. Susana Novais possesses a diverse skill set in physics and optics, including expertise in optical fiber sensors and optoelectronics. She is proficient in designing and implementing advanced optical systems for various applications. Her skills extend to biomedical technologies, particularly in developing micro-devices and monitoring systems. She is also adept in project management, scientific communication, and technical review, with extensive experience in organizing conferences and reviewing scientific literature.

 Awards and Honors

Dr. Novais has been recognized for her outstanding contributions to optics and biomedical technologies. Her Ph.D. thesis was awarded with praise and distinction, highlighting the significance of her research on optical fiber sensors. Her involvement in key projects such as FCT project ENDOR and European Project SIRBATT underscores her reputation in the field. She has also been honored for her role as a local organizer and technical chair for major conferences like EOSAM 2022.

 Membership

Dr. Susana Cristina Ribeiro Novais is an active member of several professional organizations related to optics and physics. She has been involved in the European Optical Society and various scientific committees, reflecting her engagement with the scientific community. Her memberships provide her with platforms to contribute to advancements in her field and collaborate with other experts in optics and optoelectronics.

 Teaching Experience

Dr. Novais has extensive teaching experience, including her role as a co-supervisor for Master’s theses in Engineering Physics at Universidade Católica Portuguesa. Her academic involvement extends to serving as a main examiner and jury member for the best thesis in optics and photonics in Portugal. Her teaching experience reflects her commitment to educating the next generation of scientists and engineers in the field of optics and optoelectronics.

 Research Focus

Dr. Susana Novais’s research focuses on optics and optoelectronics, particularly in the development and application of optical fiber sensors. Her work includes advancing technologies for challenging media and exploring innovative solutions in biomedical technologies. She is involved in high-impact projects such as the FCT project ENDOR and European Project SIRBATT, addressing key issues in renewable energy and sensor technology. Her research aims to push the boundaries of current optical technologies and their applications.

Publication top Notes:
  • “Coreless silica fiber sensor based on self-image theory and coated with graphene oxide”
    • Year: 2024
    • Journal: Optical Sensing and Detection VIII (Conference Paper)
    • DOI: 10.1117/12.3022374
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Journal: Photonics
    • DOI: 10.3390/photonics11050393
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Type: Preprint
    • DOI: 10.20944/preprints202402.0004.v1
  • “Enhanced Sensitivity in Optical Sensors through Self-Image Theory and Graphene Oxide Coating”
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24030891
  • “Paracetamol concentration-sensing scheme based on a linear cavity fiber laser configuration”
    • Year: 2023
    • Journal: Optical Fiber Technology
    • DOI: 10.1016/j.yofte.2023.103407
  • “Refractive Index Measurements of Ethanol–Water Binary Liquid Solutions Using a Graded-Index Fiber Tip Sensor”
    • Year: 2023
    • Journal: IEEE Sensors Letters
    • DOI: 10.1109/LSENS.2023.3303079
  • “Measurement of paracetamol concentration using a fiber laser system”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175344
  • “Transmissive glucose concentration plasmonic Au sensor based on unclad optical fiber”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175342
  • “Erbium-doped fiber ring cavity for the measurement of refractive index variations”
    • Year: 2023
    • Conference: European Workshop on Optical Fibre Sensors (EWOFS 2023)
    • DOI: 10.1117/12.2678101
  • “Measurement of Paracetamol Concentration Using an Erbium-Doped Fiber Ring Cavity”
    • Year: 2023
    • Journal: Photonics
    • DOI: 10.3390/photonics10010050

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Assoc. Prof. Dr. Wan Zakiah Wan Ismail | Electronic sensors Awards | Best Researcher Award

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Assoc. Prof. Dr. Wan Zakiah Wan Ismail | Electronic sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Wan Zakiah Wan Ismail , Universiti Sains islam Malaysia, Malaysia

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail is an Associate Professor at the Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia (USIM). She holds a PhD in Lasers and Quantum Electronics from Macquarie University, Australia, a Master’s in Electronics (Telecommunication) from the University of Melbourne, and a Bachelor’s in Electronics from Universiti Multimedia. Her research expertise spans across various fields including random lasers, biosensing, and quantum-based technologies. Dr. Wan Zakiah has led and participated in numerous research projects funded by both national and international grants, focusing on advanced technologies and their applications in medical and environmental fields. She is actively involved in supervising postgraduate students and contributing to significant research initiatives at USIM.

Professional Profile:

Orcid

Evaluation of Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail for Best Researcher Award

Summary of Suitability:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail is a highly qualified academic with a Ph.D. in Lasers and Quantum Electronics from Macquarie University, Australia, and a Master’s degree in Electronics (Telecommunication) from the University of Melbourne. Her expertise spans electronics, quantum electronics, and advanced research in biosensing, medical applications, and sustainable technologies.

🎓Education:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail earned her PhD in Lasers and Quantum Electronics from Macquarie University, Australia, in 2016. Prior to that, she completed her Master’s in Electronics (Telecommunication) at the University of Melbourne in 2007. Her academic journey began with a Bachelor’s degree in Electronics from Universiti Multimedia, awarded in 2005.

🏢Work Experience:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail has served as an Associate Professor at the Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia (USIM) since 2017. In her role, she teaches undergraduate and postgraduate courses, supervises both PhD and Master’s students, and leads research initiatives. Additionally, she is actively involved as a researcher and co-researcher on various projects funded by national and international grants, with a focus on advanced technologies such as random lasers, biosensing, quantum-based technologies, and environmental applications.

🏆Awards:

Prof. Madya Ts. Dr. Wan Zakiah Binti Wan Ismail has been recognized for her outstanding research contributions by various institutions and conferences. Her significant work in the fields of lasers, quantum electronics, and advanced biosensing technologies has garnered accolades, reflecting her impact and expertise in these areas.

Publication Top Notes:

  • Investigation of Photometric Distribution of LED and HSPV for Road Lighting
  • Developing a Portable Spectrometer to Detect Chemical Contaminants in Irrigation Water
  • Design and Analysis of Water Quality Monitoring and Filtration System for Different Types of Water in Malaysia
  • Integration of Sensing Framework with a Decision Support System for Monitoring Water Quality in Agriculture
  • Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review

 

 

 

Dr. Rui Feng | Metasensor Award | Best Researcher Award

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Dr. Rui Feng | Metasensor Award | Best Researcher Award

Dr. Rui Feng, North University of China, China

Rui Feng, born on April 11, 1993, is a distinguished academic currently serving as a lecturer at North University of China since July 2022. He holds a Doctorate in Electronics and Optoelectronics, specializing in Nano- and Microtechnologies from Paris-Saclay University, completed in July 2022. Concurrently, he earned a combined Master and Doctor degree in Communication and Information Systems from the School of Communication Engineering at Xidian University, where he studied from September 2016 to July 2022. Rui Feng also holds a Bachelor’s degree in Communication Engineering from the School of Electronics and Physics at Shandong University of Science and Technology, obtained in July 2016. Throughout his academic journey, Rui has received numerous accolades, including multiple first and second prizes in student scholarships and national competitions. His notable achievements include the National Encouragement Scholarship, the Innovation Fund of Xidian University, and the Chinese Government Scholarship of the China Scholarship Council. His extensive research and educational background highlight his expertise and contributions to the fields of electronics, optoelectronics, and communication engineering.

Professional Profile:

 

GOOGLE SCHOLAR

 

Education and Work:

  • July 2022 – Present: Lecturer, North University of China 🏫
  • Nov 2018 – July 2022: Doctorate in Electronics and Optoelectronics, Nano- and Microtechnologies, Paris-Saclay University 🌍
  • Sept 2016 – July 2022: Combined Master and Doctorate in Communication and Information System, School of Communication Engineering, Xidian University 📡
  • Sept 2012 – July 2016: Bachelor’s Degree in Communication Engineering, School of Electronics and Physics, Shandong University of Science and Technology 🎓

Awards & Honors:

  • Bachelor’s Degree:
    • 2013: 2nd Prize, Student Scholarship of SDUST 🎖️
    • 2014: 1st Prize, Student Scholarship of SDUST 🏅
      • National Encouragement Scholarship 🥇
      • 1st Prize, Robot Competition in Shandong Province 🤖
      • 1st Prize, National Information Technology Application Level Competition 🖥️
    • 2015: 1st Prize, National Undergraduate Electronics Design Contest in Shandong Province 🏆
      • 1st Prize, Student Scholarship of SDUST 🎖️
    • 2016: Outstanding Graduates in Shandong Province 🏅
  • Combined Master and Doctorate:
    • 2016: 1st Prize, Student Scholarship of XDU 🥇
    • 2018: The Innovation Fund of XDU 💡
      • Doctoral Students’ Short-Term Study Abroad Scholarship Fund 🌐
      • 1st Prize, Student Scholarship of XDU 🏆
    • 2019: Chinese Government Scholarship of China Scholarship Council 🇨🇳

Mr. Rui Feng is a dedicated and accomplished lecturer at North University of China, with a strong academic background and numerous awards in electronics, optoelectronics, and communication engineering. His impressive achievements and contributions to his field highlight his commitment and passion for innovation and education.

 

Publication top Notes:

Outstanding tensile properties of a precipitation-strengthened FeCoNiCrTi0. 2 high-entropy alloy at room and cryogenic temperatures

CITED : 442

Lattice distortion in a strong and ductile refractory high-entropy alloy

CITED : 423

Gradient cell–structured high-entropy alloy with exceptional strength and ductility

CITED : 373

Fundamental deformation behavior in high-entropy alloys: An overview

CITED : 338

Homogenization of AlxCoCrFeNi high-entropy alloys with improved corrosion resistance

CITED : 330