Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Posted on 12/07/2024 by Global Sensor Awards

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Dr. Akito Higatani, Hanshin Expressway Co., Ltd., Japan

Akito Higatani is an accomplished professional in traffic engineering, currently serving as Assistant Manager in the Planning Department at Hanshin Expressway Co., Ltd. With a career spanning 18 years, he has made significant contributions to the field through his research and practical insights into traffic management and efficiency. Dr. Higatani’s academic journey began at Kyoto University, Japan, where he earned his Bachelor’s degree in Engineering from the Undergraduate School of Global Engineering, specializing in Transportation Engineering and Management. He continued his studies at Kyoto University, obtaining a Master’s degree in Urban Management, focusing on traffic efficiency in urban expressways. His doctoral studies also at Kyoto University culminated in a Doctor of Engineering degree, where his research focused on planning patrolling schedules in urban expressway networks considering traffic incidents and network performance fluctuations. Dr. Higatani has contributed extensively to the field through peer-reviewed papers and presentations at international conferences. His research, such as studying traffic volume fluctuations and travel time reliability measures in the Hanshin Expressway Network, has been instrumental in advancing understanding and strategies in traffic engineering.

Professional Profile:

SCOPUS

Education:

Akito Higatani pursued his academic journey at Kyoto University, Japan, specializing in Transportation Engineering and Management.

Bachelor of Engineering (Undergraduate School of Global Engineering, April 2000 – March 2004): Akito completed his undergraduate studies with a focus on Transportation Engineering and Management. His graduation thesis investigated traffic flow observation using image data.
Master of Engineering (Department of Urban Management, April 2004 – March 2006): Continuing his studies at Kyoto University, Akito delved deeper into urban traffic management, particularly focusing on traffic efficiency at merging sections of urban expressways using image data.
Doctor of Engineering (Department of Urban Management, April 2012 – March 2015): Akito pursued his doctoral studies, specializing in planning patrolling schedules within urban expressway networks. His dissertation focused on optimizing schedules considering traffic incidents and network performance fluctuations.

Work Experience:

Akito Higatani has accumulated extensive experience in traffic engineering and management, primarily at Hanshin Expressway Co., Ltd.

Assistant Manager, Planning Department: Akito has been serving as an Assistant Manager since joining Hanshin Expressway in April 2006. His role involves strategic planning within the Planning Department, focusing on optimizing traffic flow and efficiency across the expressway network.

Academic Achievements:

Akito Higatani has contributed significantly to the field of traffic engineering through peer-reviewed publications and conference presentations:

Publication top Notes:

Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation

An investigation into the appropriateness of car-following models in assessing autonomous vehicles

Driving simulator experiment on speed reduction during earthquake on an urban expressway

A study of traffic volume fluctuation considering traffic incidents in hanshin expressway network

Slippage test of frictional high strength bolted joints with adhesives for corroded damaged steel members

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Posted on 12/07/2024 by Global Sensor Awards

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan ,Faculty of Engineering, Khon Kaen University ,Thailand

Dr. Chavis Srichan has a diverse academic and professional background in computer engineering and microelectronics. He received his Bachelor’s degree with First Class Honors and as a Gold Medalist from Khon Kaen University in 2002. His pursuit of advanced studies took him to Technische Universitat Hamburg, Germany, where he earned his Master’s degree in Microelectronics and Microsystems with distinction in 2006. Following this, he completed his Doctor of Engineering in Microelectronics and Embedded Systems at the Asian Institute of Technology in 2018.Dr. Srichan’s career has been marked by significant contributions to research and academia. He has held various positions, including software developer roles at MRI Laboratory, Khon Kaen University, and SIEMENS AG Munich, Germany. His research interests span printed electronics, nanoelectronics, MEMS, and embedded systems, focusing on applications such as smart home care systems and sensor development for medical diagnostics. He currently serves as a Lecturer in Computer Engineering at Khon Kaen University, where he contributes to the education of future engineers and researchers. Dr. Srichan’s work has been recognized with honors such as the Lucent Technology Scholarship, DAAD-SIEMENS scholarship, and grants from institutions like the US National Institute of Health (NIH) and Japan NICT through the ASEAN IVO Project for sensor development.

Professional Profile:

GOOGLE SCHOLAR

Education/Training:

Bachelor’s Degree (First Class Honors, Gold Medalist)
- Institution: Khon Kaen University, Khon Kaen, Thailand
- Completion Date: 06/2002
- Field of Study: Computer Engineering
Master of Science (with Distinction)
- Institution: Technische Universitat Hamburg, Germany
- Completion Date: 06/2006
- Field of Study: Microelectronics and Microsystems
Doctor of Engineering
- Institution: Asian Institute of Technology
- Completion Date: 08/2018
- Field of Study: Microelectronics and Embedded Systems

Positions and Honors:

Current Position:
- Lecturer, Computer Engineering, Khon Kaen University (since 2010)

Experience and Training:

2001: Software Developer, MRI Laboratory, Khon Kaen University, Thailand
2002-2003: Teaching Assistant, Faculty of Engineering, Khon Kaen University
2004: Software Developer, Taboo Search Heuristic Job Scheduling
2005: Software Developer, Corporate Technology Production, SIEMENS AG Munich, Germany
2008-2010: Researcher, Printed Electronics Project, Nanoelectronics and MEMS Lab, National Electronic and Computer Technology Center, Thailand

Computer Skills:

Python, Java, Visual C++, Labview, ANSYS, Matlab, Cadence, OpenGL, OpenCV, Tensorflow

Honors:

2001-2002: Lucent Technology Scholarship
2002: National Software Competition, National Electronic and Computer Technology Center, Thailand (Second Place: Facial Recognition System Using Multi-resolution Analysis and Artificial Neural Network)
2004-2005: DAAD-SIEMENS Scholarship
2019-2020: US National Institute of Health (NIH) Grant for Smart Home Care Connected Sensors and Mobile Application for Peritoneal Dialysis Patients
2022-2024: Japan NICT funding through ASEAN IVO Project “Photonic and Electrochemical Sensors Development for Early CCA Detection”

Publication top Notes:

Highly-sensitive surface-enhanced Raman spectroscopy (SERS)-based chemical sensor using 3D graphene foam decorated with silver nanoparticles as SERS substrate

CITED : 108

Inkjet printing PEDOT: PSS using desktop inkjet printer

CITED : 57

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

CITED : 26

Ultra-sensitive and label-free neutrophil gelatinase-associated lipocalin electrochemical sensor using gold nanoparticles decorated 3D Graphene foam towards acute kidney injury …

CITED : 21

Simple RC low pass filter circuit fabricated by unmodified desktop inkjet printer

CITED : 21

Best Sensor for Smart Cities

Posted on 09/03/2024 by Global Sensor Awards

Introduction Best Sensor for Smart Cities

Welcome to the Best Sensor for Smart Cities Award, recognizing innovative sensor technologies that contribute to the development of smarter and more sustainable cities.

Award Eligibility:

This award is open to individuals, teams, and organizations worldwide who have developed sensor technologies specifically designed for use in smart city applications. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on smart city development. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on smart city development.

Submission Guidelines:

Submissions should be sent via email to awards@bestsensorforsmartcities.com by the deadline specified on the website. Please include “Best Sensor for Smart Cities Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Smart Cities Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Smart Cities Award aims to promote the use of sensor technologies in smart city development, ultimately improving quality of life and sustainability in urban areas.

Biography:

The award committee is comprised of experts in the fields of sensor technology and smart city development who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.

Best Sensor for Robotics

Posted on 09/03/2024 by Global Sensor Awards

Introduction Best Sensor for Robotics

Welcome to the Best Sensor for Robotics Award, an initiative aimed at recognizing outstanding innovations in sensor technology that enhance robotic capabilities.

Award Eligibility:

This award is open to individuals and teams worldwide who have developed sensors or sensor-related technologies specifically designed for use in robotics. There are no age limits or specific qualifications required to apply. Publications related to the development or application of the sensor technology are encouraged but not mandatory.

Requirements:

Applicants must submit a detailed description of their sensor technology, including its design, functionality, and potential impact on robotics. Additionally, applicants should provide any relevant supporting materials, such as videos, images, or technical documentation.

Evaluation Criteria:

Submissions will be evaluated based on the level of innovation, practicality, and potential impact of the sensor technology on the field of robotics.

Submission Guidelines :

Submissions should be sent via email to awards@bestsensorforrobotics.com by the deadline specified on the website. Please include “Best Sensor for Robotics Award Submission” in the subject line.

Recognition:

Winners of the Best Sensor for Robotics Award will receive a cash prize, a certificate of recognition, and media coverage highlighting their achievement.

Community Impact:

The Best Sensor for Robotics Award aims to foster innovation and collaboration within the robotics community, ultimately advancing the field and benefiting society as a whole.

Biography:

The award committee is comprised of experts in the field of robotics and sensor technology who are dedicated to recognizing and promoting excellence in this area.

Abstract and Supporting Files:

In addition to the application form, applicants should submit an abstract of their sensor technology and any supporting files that may help illustrate its functionality and potential impact.