Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

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Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

🎓 Education:

  • B.E. in Safety Engineering – Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering – Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering – Zhejiang University, Hangzhou (2004)

💼 Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004–2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

🏆 Achievements & Contributions:

  • 📚 Published over 100 research articles
  • 🔬 Invented approximately 20 innovations
  • 🛠️ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • 📝 Editor of Journal of Vibration, Measurement & Diagnosis

🏅 Awards & Honors:

  • 🎖️ Recognized for contributions in mechanical engineering and diagnostics
  • 🏅 Honored for advancements in fault diagnosis and condition monitoring
  • 🔍 Acknowledged for outstanding research and academic contributions in mechanical dynamics

Publication Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network

Dr. George Alexandru Boldeiu | Pressure Sensor | Best Researcher Award

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Dr. George Alexandru Boldeiu | Pressure Sensor | Best Researcher Award

Dr. George Alexandru Boldeiu, IMT Bucharest, Romania

George Alexandru Boldeiu is a Romanian researcher specializing in microtechnology, MEMS devices, and thermal-electromagnetic simulations. He is currently an IDT II at the Micromachined Structures, Microwave Circuits, and Devices Laboratory at the National Institute for Research and Development for Microtechnologies in Bucharest. With extensive experience in thermal, mechanical, and electromagnetic simulations using Ansys and COMSOL, his work focuses on surface acoustic wave (SAW) devices, temperature and magnetic sensors, and microwave characterization. Prior to this, he worked as a thermal simulation engineer at Continental Automotive Romania, where he contributed to thermal modeling and optimization of electronic components. He holds a Bachelor’s degree in Mathematical Engineering from the University Politehnica of Bucharest and a Bachelor’s degree in Physics from the University of Bucharest. Currently, he is pursuing a Ph.D. at the Doctoral School of Electronics, Telecommunications & Information Technology at the University Politehnica of Bucharest. His research interests span classical mechanics, quantum mechanics, solid-state physics, and electromagnetism, with expertise in CAD/CAE tools such as Ansys, COMSOL, and SolidWorks.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

George Alexandru Boldeiu has a solid research background spanning over two decades in microtechnology, MEMS (Micro-Electro-Mechanical Systems), and electromagnetic simulations. His experience includes working at the National Institute for Research and Development for Microtechnologies in Bucharest and Continental Automotive Romania, where he conducted advanced simulations in thermal, mechanical, and electromagnetic domains.

🎓 Education

📍 PhD Student (2020 – Present)
Doctoral School of Electronics, Telecommunications & Information Technology, University Politehnica of Bucharest

📍 Bachelor of Physics (2011 – 2014)
Faculty of Physics, University of Bucharest, Bucharest

📍 Bachelor of Mathematical Engineering (1996 – 2001)
Faculty of Electrical Engineering, University Politehnica of Bucharest

💼 Work Experience

🔬 IDT II (2019 – Present)
Micromachined Structures, Microwave Circuits and Devices Laboratory, National Institute for Research and Development for Microtechnologies, Bucharest

  • 🔥 Thermal, mechanical, and electromagnetic simulation using Ansys & COMSOL
  • 📡 Simulation of MEMS and acoustic wave-based devices
  • ⚡ Electromagnetic field simulation (low & high frequency)
  • 🎨 3D printing design & electric measurements
  • 🌡️ SAW devices on III-nitride layers, microwave characterization, and SAW sensors

💻 Thermal Simulation Engineer (2017 – 2019)
Continental Automotive Romania (ADAS)

  • 🔥 Thermal modeling using Ansys & Icepak
  • 🏗️ Coupled thermal-structural and thermal-electric analysis
  • 💡 Worked on cooling solutions with mechanical and system engineers

🖥️ Engineer (2007 – 2017)
Simulation, Modelling & Computer-Aided Design Laboratory, National Institute for Research and Development for Microtechnologies, Bucharest

  • 🎯 Thermal, mechanical, and electromagnetic simulation
  • 🛠️ MEMS device simulations & 3D printing design
  • ⚡ Electromagnetic field analysis

🗄️ Database Administrator (2004 – 2007)
Internet/Intranet Laboratory, National Institute for Research and Development for Microtechnologies, Bucharest

🔬 Junior Researcher (2001 – 2004)
Nano-Scale Structuring and Characterization, National Institute for Research and Development for Microtechnologies, Bucharest

🏆 Achievements & Honors

  • 📡 Significant contributions to SAW devices and MEMS simulation research
  • 🔍 Expertise in coupled multiphysics simulations (thermal-electrical-structural)
  • 🏅 Extensive experience in CAD/CAE tools for advanced modeling
  • 🛠️ Development of rapid-prototyping designs for research applications

Publication Top Notes:

GaN membrane supported SAW pressure sensors with embedded temperature sensing capability

CITED:47

The behavior of gold metallized AlN/Si-and AlN/glass-based SAW structures as temperature sensors

CITED:23

Applications of electrostatic capacitance and charging

CITED:20

Investigation of temperature sensing capabilities of GaN/SiC and GaN/sapphire surface acoustic wave devices

CITED:16

Characterization and modeling of quantum dot behavior in FDSOI devices

CITED:15

 

 

Dr. Xiangbao Zeng | Tough Sensors Awards | Best Researcher Award

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Dr. Xiangbao Zeng | Tough Sensors Awards | Best Researcher Award

Dr. Xiangbao Zeng, Chongqing University, China

Zeng Xiangbao is a distinguished PhD candidate in Instrument Science and Technology at the College of Optoelectronic Engineering, Chongqing University, China, with a focus on ultrasonic and photoelectric sensors. Currently serving as a senior engineer at CETC Chip Technology Co., Ltd., Chongqing, he has contributed significantly to the field of sensor research and development. Over the years, Zeng has led and participated in more than 10 national research projects, including four at the national level. His innovative work spans biosensing, piezoelectric sensing, photoelectric sensing, and intelligent perception, including the development of a distributed laser gas monitoring system and an acoustic resonance ultrasonic wind sensor used in diverse industries such as environmental protection and wind energy. With more than 40 patents and 10 peer-reviewed publications, Zeng is an active collaborator on national programs and works closely with institutions like MIT to advance sensor technologies. His membership in the Acoustical Society of China and the China Instrument and Control Society further reflects his commitment to the advancement of sensor technologies.

Professional Profile:

SCOPUS

ORCID

Suitability for the Best Researcher Award: Dr. Xiangbao Zeng

Dr. Xiangbao Zeng is an exemplary candidate for the Best Researcher Award due to his outstanding contributions to sensor technology, particularly in the fields of acoustic, photoelectric, and biochemical sensors. His innovative research has resulted in significant advancements in sensor applications, evidenced by his numerous academic and industrial achievements.

Academic and Professional Background:

Zeng Xiangbao is a PhD candidate in Instrument Science and Technology at the College of Optoelectronic Engineering, Chongqing University, China 🎓. Currently, he is a Senior Engineer at CETC Chip Technology Co., Ltd, Chongqing 🇨🇳. His research focuses on ultrasonic sensors and photoelectric sensors, and he has published more than 10 peer-reviewed papers 📚.

Research & Innovations:

  • Zeng has completed and is involved in over 10 national projects and has presided over 4 national-level projects 🌍.
  • He has published 41 patents 📝 and 11 research papers in reputable journals 📖.
  • Collaborated with MIT on research regarding disinfection factors 🔬.
  • His research includes acoustic, optical, and biochemical sensors 🌟.

Key Contributions:

  • Developed a distributed laser gas monitoring system for underground pipeline corridors 🚇.
  • Created an acoustic resonance ultrasonic wind sensor widely used in wind turbine generators and the meteorological & environmental protection industries 🌬️🌍.
  • Holds over 40 patents and continues to innovate in biosensing, piezoelectric sensing, and intelligent perception 🤖🔧.

Awards & Recognition:

Zeng’s contributions have earned him recognition within his field, and he is a leading researcher in sensor technologies that play a critical role in environmental and industrial applications 🌱⚡.

Publication top Notes:

Full-Phase Wind Speed and Direction Algorithm for Acoustic Resonance Wind Sensor

Bionic tribo-sensors with sweat and smudge-resistant as electronic skin for personal authentication

Signal Identification Method of Vibration Sensor System for Environmental Condition Monitoring

Study on Closed-Loop Solving Strategy of Piezoelectric Ultrasonic Resonant Wind Sensor

Research on performance improvement of acoustic resonance-based wind sensors by using dual closed-loop control

Study on Preparation and Properties of Sodium Potassium Niobate-Based 1-3 Piezoelectric Composites

Resonance-State Temperature Compensation Method for Ultrasonic Resonance Wind Speed and Direction Sensors

Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

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Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

Mr. Dezhi Zheng, Beijing Institute of Technology, China

Dr. Dezhi Zheng is a distinguished Professor and Doctoral Supervisor at the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology. He received his Ph.D. in Precision Instruments and Machinery and his B.S. in Mechanical Engineering and Automation from Beihang University. With a career spanning roles from Lecturer to Associate Professor at the School of Instrumentation and Optoelectronic Engineering at Beihang University, and a Visiting Scholar at the University of Victoria, Dr. Zheng has made significant contributions to airborne information detection, extreme signal measurement technology, and sensor-sensitive mechanisms. His research, focused on national strategic needs, has advanced the theoretical and applied aspects of precise sensing for weak physical features. Key achievements include innovations in resonant sensor technology to enhance aircraft altitude measurement, ultra-low frequency vibration sensor calibration for explosion monitoring, and wearable sensing devices that address long-term usability in brain-computer interfaces. With over 70 academic publications, 30 invention patents, and participation in more than 30 national research projects, Dr. Zheng’s work has had impactful applications in resonant sensors, low-frequency vibration technology, and smart wearable devices.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Professor Dezhi Zheng, affiliated with the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology, has a distinguished profile that aligns well with the criteria for the Best Researcher Award.

🎓 Education

  • 2000-2006: Ph.D. in Precision Instruments and Machinery, Beihang University 🛠️
  • 2008-2012: B.S. in Mechanical Engineering and Automation, Beihang University 🧑‍🎓

🔬 Research Interests

  • 📡 Airborne Information Detection
  • 🛰️ Extreme Signal Measurement Technology
  • 🎛️ Sensor Sensitivity Mechanism

🔍 Research Highlights

Prof. Zheng’s research addresses major national strategic needs in precise sensing technology and weak physical feature applications. Notable achievements include:

  • ✈️ Enhanced Aircraft Altitude Measurement: Developed resonant sensor technologies that improve flight height measurement by nearly an order of magnitude
  • 🌋 Ultra-Low Frequency Vibration Measurement: Pioneered ultra-low frequency sensors for explosion vibration, achieving precise calibration at 0.01Hz
  • 🧠 Wearable Bioelectrical Sensing: Innovated wearable, long-use sensors for brain-computer interfaces, enabling breakthrough applications in wearable tech

🏆 Key Contributions

  • Led research applied in resonant sensors, low-frequency vibration calibration, and smart helmets 🪖
  • Solved technical challenges including sensor device coupled vibration, nonlinear measurement, and dynamic response 🌐
  • Participated in 30+ national research projects
  • Published 70+ academic papers 📄
  • Authorized 30+ invention patents 🔑

Publication top Notes:

UniRTL: A universal RGBT and low-light benchmark for object tracking

Adaptive temperature compensation for MoS2 humidity sensor in complex environments using ISSA-BP neural network

Catadioptric omnidirectional thermal odometry in dynamic environment

A hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential

Investigation of the morphology and structural transformation of 6H-SiC induced by a single femtosecond laser pulse

Nuclei engineering for even halide distribution in stable perovskite/silicon tandem solar cells

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

 

 

 

Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

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Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

Dr. Makavelo Germain Deon, China University of Mining and Technology, China

Makavelo Germain is a passionate researcher and dynamic professional specializing in mining engineering with a focus on strata and ground control. He is currently a Ph.D. candidate at the China University of Mining and Technology, Xuzhou, Jiangsu Province, China, where he specializes in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining. With a strong educational foundation, he holds a Master’s degree in Mining Engineering and a Bachelor’s degree in Geology from the University of Mahajanga, Madagascar. Makavelo’s professional journey includes roles as a Waterproof Supervisor and Technician in Astana, Kazakhstan, and HVAC Technician and Assistant Technician in Mahajanga, Madagascar. Fluent in Malagasy, English, French, and possessing basic proficiency in Russian and Chinese, he excels in cross-functional collaboration and leadership, leveraging his analytical skills to drive process improvements in his field.

Professional Profile:

Summary of Suitability for Best Researcher Award

Deon Makavelo Germain is a highly qualified candidate for the Best Researcher Award, particularly in the field of mining engineering. His extensive academic and professional experience, combined with his proven track record of impactful research, makes him a strong contender for this accolade.

🎓 Education

  • Ph.D. Candidate in Mining Engineering (2021 – Present)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Master of Mining Engineering (2014 – 2017)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Chinese Language Course (HSK-4) (2013 – 2014)
    Completed one year of Chinese Language Course at the International College, China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Bachelor of Geology (2007 – 2010)
    Earned a Bachelor’s degree in Geology from the Faculty of Sciences, University of Mahajanga, Madagascar.

🛠️ Experience

  • Waterproof Supervisor (2018 – 2021)
    Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • Waterproof Technician (2017 – 2018)
    Worked as a Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • HVAC Technician (2012 – 2013)
    HVAC Technician at FRIMECAM Co., Mahajanga, Madagascar.
  • HVAC Assistant Technician (2009 – 2012)
    HVAC Assistant Technician at FRIGOMAD Co., Mahajanga, Madagascar.

Publication top Notes:

Analysis of Solid Backfilling Effects on Strata and Ground Subsidence in a Longwall Coal Mine Beneath a City

Study of Slope Stability of the Mining Wall in an Open-Pit Coal Mine by the Paste Cut-and-Backfill Method

Sensitivity analysis of key factors influencing compression-induced deformation of waste rocks for backfilling to reduce environmental pollution

Recycling of crushed waste rock as backfilling material in coal mine: effects of particle size on compaction behaviours

Influential Factors in Transportation and Mechanical Properties of Aeolian Sand-Based Cemented Filling Material

 

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

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Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award 

Dr. DAVIDE BRIVIO, BWH, United States

Dr. Davide Brivio is an accomplished physicist specializing in radiation oncology physics. Born in Carate Brianza (MB), Italy, he embarked on his academic journey at the Università degli Studi di Milano (University of Milan), where he earned his B.Sc. in Physics in 2006, followed by an M.Sc. in Physics in 2008 under the guidance of advisors Nicola Piovella and Robin Kaiser. He further advanced his expertise by obtaining a Ph.D. in Physics in 2012, mentored by Dr. Cialdi Simone. After completing his Ph.D., Dr. Brivio pursued postdoctoral training at Brigham and Women’s Hospital, Harvard Medical School, where he served as a Post-Doctoral Fellow in Radiation Oncology Physics from 2013 to 2019 under the supervision of Dr. Piotr Zygmanski. His dedication to the field led him to complete a Medical Physics Residency in Radiation Oncology Physics from 2019 to 2022, directed by Dr. Yulia Lyatskaya, with Dr. Zygmanski as his research advisor.

 

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Davide Brivio has an extensive and impressive academic and professional background, which makes him a strong candidate for the Best Researcher Award at the Faculty of Medicine of Harvard University. Below are the key points that highlight his qualifications:

Education:

  • 2006: B.Sc. Physics, Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2008: M.Sc. Physics (Advisors: Nicola Piovella, Robin Kaiser), Università degli Studi di Milano (University of Milan), Milan (MI), Italy
  • 2012: Ph.D. Physics (Advisor: Dr. Cialdi Simone), Università degli Studi di Milano (University of Milan), Milan (MI), Italy

Postdoctoral Training:

  • 2013-2019: Post-Doctoral Fellow in Radiation Oncology Physics (Advisor: Dr. Piotr Zygmanski), Brigham and Women’s Hospital, Harvard Medical School
  • 2019-2022: Medical Physics Resident in Radiation Oncology Physics (Director: Dr. Yulia Lyatskaya, Research Advisor: Dr. Piotr Zygmanski), Harvard Medical School, Boston, MA

Faculty Academic Appointments:

  • 07/2022-present: Instructor in Radiation Oncology (Physics), Harvard Medical School

Appointments at Hospitals/Affiliated Institutions:

  • 07/2022-present: Clinical Physicist in Radiation Oncology (Physics), Brigham and Women’s Hospital, Boston, MA

Major Administrative Leadership Positions:

  • 2021-2022: Senior Resident, Medical Physics Residency (year-round), Harvard Medical School

Committee Service:

  • National:
    • 2022-present: Invited Abstract Evaluation Committee for AAPM Annual Meeting, American Association of Physicists in Medicine
    • 2023-present: Physics PhD Steering Committee, Università degli Studi di Milano, Italy (Milan University)
  • Local:
    • 2024: MGB Technology Evaluation Committee, MGB
    • 2024: Master Thesis Committee, UML

Professional Societies:

  • 2015-present: Member, American Association of Physicists in Medicine
  • 2015-present: Member, New England Chapter of the American Association of Physicists in Medicine
  • 2019-2023: Member, Radiological Society of North America (RSNA)
  • 2023-present: Member, American Brachytherapy Society (ABS)

Editorial Activities:

  • Ad hoc Reviewer for:
    • Medical Physics
    • Physics in Medicine and Biology
    • International Journal of Radiation OncologyBiologyPhysics
    • Physica Medica
    • Radiation Research

Publication top Notes:

Remote sensing of high energy particle currents (HEC): towards HEC radiography

X-ray Induced Electric Currents in Anodized Ta2O5: Towards a Large-Area Thin-Film Sensor

Radioactive source localization employing resistive electrode array (REA) detector

Resistive electrode array (REA) for radiotherapy beam monitoring and quality assurance

Remote sensing array (RSA) for linac beam monitoring

Gold nanoparticle detection and quantification in therapeutic MV beams via pair production

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

Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher Award

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Mr. Mohammad Ahmadi | physiological Sensors | Best Researcher Award 

Mr. Mohammad Ahmadi, University of Auckland, New Zealand

Ted Ahmadi is a seasoned game developer based in Toronto, with a strong focus on designing Mixed/Augmented/Virtual Reality (MR/AR/VR) games using Unity3D and C#. With over 6 years of experience, he is proficient in utilizing the Microsoft Mixed Augmented Reality Toolkit (MRTK) and has expertise in designing Mixed Reality games for platforms such as Magic Leap, Vive/Vive Pro Eye, Oculus Quest/Quest 2&3/Quest Pro, HP Omnicept, Hololens 2, and Apple Vision Pro. Ted’s career spans across various aspects of game development, including 2D game design for Android using Unity3D, game networking with Photon and Ubiq, and integrating technologies like OpenGL, Blender, and iClone 3D animation toolkit. He is also skilled in using Leap Motion for enhancing interactive experiences in game applications. Beyond game development, Ted is proficient in C++/C# programming across different applications and has experience in Agile/Rapid development methodologies, Waterfall, and Continuous Integration. His expertise extends to embedded systems such as ROS in Linux/Windows, particularly in VR applications for robotics, and enterprise web server applications where he excels in Java programming, software optimization, debugging, and troubleshooting.

Professional Profile:

ORCID

 

Education

University of Auckland

  • Bachelor of Science in Computer Science
    Date: Graduated in 2018

Work Experience

Design School, University of Auckland
Teaching and Tutoring Assistant
July 2022 – Nov 2022

  • Responsibilities: Assisted in teaching and tutoring the course “Designing Mix Realities” at the School of Design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Skills

  • Game Design: Unity3D, MRTK and XR SDK, AR Kit, AR Core, Leap Motion, OpenGL, Vuforia, Blender, iClone 7.
  • Programming: C++/C#, Java, JavaScript, PHP/CSS/HTML, jQuery, mySQL, JSON/XML, Matlab.
  • HMD: Vive/Vive Pro Eye, Oculus Quest/Quest 2/Quest 3/Quest Pro, HP Omnicept, Magic Leap, Hololens 2, Apple Vision Pro.
  • API: WebGL, OpenGL.
  • Web API: .Net/ASP.Net MVC.
  • J2EE API: Java Servlet and EJB.
  • Version Control: git and GitHub.
  • OS: Linux, Windows.
  • Embedded Systems: ROS.

Employment History

🏫 Design School, University of Auckland
Teaching and Tutoring Assistant (July 2022 – Nov 2022)

  • Teaching and tutoring assistant for the course “Designing Mix Realities” at the school of design.
  • Skills: Unity3D, Blender (3D modeling and animation for rapid prototyping), Adobe Aero (3D modeling).

Publication top Notes:

EEG, Pupil Dilations, and Other Physiological Measures of Working Memory Load in the Sternberg Task

Cognitive Load Measurement with Physiological Sensors in Virtual Reality during Physical Activity

Comparing Performance of Dry and Gel EEG Electrodes in VR using MI Paradigms

PlayMeBack – Cognitive Load Measurement using Different Physiological Cues in a VR Game