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

 

 

 

Mr. Yi Sun | Sensor Fabrication | Excellence in Innovation

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Mr. Yi Sun | Sensor Fabrication | Excellence in Innovation 

Mr. Yi Sun, Dalian Jiaotong University, China

Yi Sun is a Master of Science student in Mechanical Engineering, currently participating in a joint training program between Tsinghua University and Dalian Jiaotong University. His research focuses on the conversion relationships between thermal, mechanical, and electrical energy at the nanoscale. Yi has conducted dynamic response observations of thin-film thermocouples and developed mathematical models for heat transfer, leading to publications as the first author in notable journals. His work includes significant projects at the Provincial Key Laboratory of Modern Sensors and Actuators and the State Key Laboratory of Tribology, where he explores advanced topics such as thin-film thermocouple performance and tribological behavior in specialized atmospheres. Yi’s contributions are marked by his strong analytical skills and innovative approach to sensor technology and thermal dynamics.

Professional Profile:

SCOPUS

ORCID

 

Education:

  • Tsinghua University & Dalian Jiaotong University (M.E., 2022 – Present) 🎓
  • Dalian Jiaotong University (B.E., 2018 – 2022) 🎓
Research Interests:
Yi is passionate about nanoscale energy conversions and has conducted advanced research on thin-film thermocouples, contributing valuable insights into dynamic calibration and heat transfer. 🔍⚙️

Work Experience:

  1. Provincial Key Laboratory of Modern Sensors and Actuators, Dalian Jiaotong University
    Position: Researcher
    Duration: June 2023 – January 2024
    Responsibilities:

    • Studied the mechanism of large creep adhesion in wheel-rail braking at 400 km/h.
    • Contributed to the National Natural Science Foundation of China (NNSFC) projects on the effect of multi-component doped solid solution alloy on thin-film thermocouple performance and the design of transparent conductive oxide molecular-like structural units.
  2. State Key Laboratory of Tribology, Tsinghua University
    Position: Researcher
    Duration: January 2024 – Present
    Responsibilities:

    • Conducting research on the tribological behavior of foil bearings in non-oxidizing atmospheres.
  3. Dalian Jiaotong University
    Position: Master’s Student Researcher
    Duration: 2018 – 2022
    Responsibilities:

    • Developed mathematical models for heat transfer and observed dynamic responses of thin-film thermocouples on the nanoscale and nanosecond scale.
    • Published a research paper as the first author on thermoelectric electromotive force oscillation of thin-film thermocouples.

Publication top Notes:

Nanosecond-level second-order characteristics in dynamic calibration of thin film thermocouples by short-pulse laser

Preliminary Investigation of Thermoelectric Electromotive Force Oscillation of NiCr/NiSi Thin Film Thermocouple in Dynamic Calibration

Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award

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Dr. Alex Guillén Bonilla | Sensors Characterization | Best Researcher Award 

Dr. Alex Guillén Bonilla, University of Guadalajara, Mexico

👨‍🔬 Alex Guillén Bonilla is a distinguished Research Professor at the University of Guadalajara, specifically at the Valleys University Center in Jalisco, México. With a career rooted in scientific excellence, he is a recognized member of the National System of Researchers (SNI Level 1) and holds a Desirable Profile from PRODEP. His contributions to the field of materials science are further underscored by his inclusion in the National Register of Researchers in Materials Science. 🎓 Dr. Guillén Bonilla’s academic journey began with a technical education in Plastics Chemistry at the University of Guadalajara’s Polytechnic School, CUCEI, from which he graduated in July 2000. He then pursued a degree in Mechatronics Engineering at the Industrial Technical Education Center (CETI), completing his thesis on the analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates in November 2005. His passion for optoelectronics led him to the Center for Scientific Research and Higher Education of Ensenada (CICESE), where he earned a master’s degree with a thesis focused on the study and design of two polarization interferometers for object observation by reflection in November 2008.

Professional Profile:

GOOGLE SCHOLAR

 

EDUCATION

1. Doctorate in Materials Science

  • Institution: University of Guadalajara, University Center of Exact Sciences and Engineering (CUCEI), Guadalajara, Jalisco, México
  • Thesis Title: Synthesis and characterization of CoSb2O6 semiconductor oxide micro and nanoparticles for their potential application as an environmental gas sensor
  • Date of Graduation: November 2014
  • Professional License: PEJ313612

2. Master’s in Optoelectronics Oriented Optics

  • Institution: Center for Scientific Research and Higher Education of Ensenada (CICESE), Ensenada, Baja California Norte, México
  • Thesis Title: Study and design of two polarization interferometers for the observation of objects by reflection
  • Date of Graduation: November 2008
  • Professional License: PEJ313614

3. Engineering in Mechatronics

  • Institution: Industrial Technical Education Center (CETI), Guadalajara, Jalisco, México
  • Thesis Title: Analysis of quasi-distributed sensors based on interferometric sensors with twin Bragg grates
  • Date of Graduation: November 2005
  • Professional License: PEJ313609

WORK EXPERIENCE

Research Professor

  • Institution: University of Guadalajara, Valleys University Center, Guadalajara, Jalisco, México
  • Role: Conducts research in the preparation and characterization of semiconductor oxides and the development of gas sensors, as well as the design of reflection polarization interferometers.

Previous Positions (if applicable, based on details not provided in the CV)

  • Specific details on previous positions are not included in the provided CV data.

 

Publication top Notes:

 

Synthesis of ZnMn2O4 Nanoparticles by a Microwave-Assisted Colloidal Method and their Evaluation as a Gas Sensor of Propane and Carbon Monoxide

CITED: 59

Synthesis, Characterization, and Sensor Applications of Spinel ZnCo2O4 Nanoparticles

CITED: 33

A Novel Gas Sensor Based on MgSb2O6 Nanorods to Indicate Variations in Carbon Monoxide and Propane Concentrations

CITED: 33

Low‐Temperature Synthesis and Gas Sensitivity of Perovskite‐Type LaCoO3 Nanoparticles

CITED: 30

Key processing of porous and fibrous LaCoO3 nanostructures for successful CO and propane sensing

CITED: 27