Dr Naifeng He | Applications of Sensors| Best Researcher Award

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Dr Naifeng He | Applications of Sensors| Best Researcher Award 

Dr Naifeng He, Nanjing University of Aeronautics and Astronautics,China

He Naifeng is a dedicated PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics. Specializing in motion control and navigation of wheel-legged mobile robots, his research integrates traditional control techniques with reinforcement learning to enhance robotic autonomy in dynamic environments.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

He Naifeng, a PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics, specializes in motion control and navigation of wheel-legged mobile robots. His innovative research integrates traditional control techniques with reinforcement learning, significantly enhancing the autonomy and agility of mobile robots in dynamic environments. With several published articles and a pending patent, He Naifeng demonstrates a commitment to advancing the field of robotics.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

As a PhD candidate, He Naifeng is actively involved in cutting-edge research projects focused on optimizing navigation systems for wheel-legged robots. His work includes consultancy projects that apply advanced navigation algorithms in industrial inspection settings, showcasing his ability to translate research into real-world solutions.

Skills

He possesses a robust skill set that includes motion control system design, reinforcement learning applications, and path planning for autonomous systems. His expertise in integrating traditional control methods with advanced machine learning techniques positions him as a valuable asset in the field of robotics.

Awards and Honors

He Naifeng’s research has garnered recognition, including publications in prominent journals such as Sensors and Actuators. He is also in the process of patenting a dynamic obstacle avoidance control system for wheel-legged robots, reflecting his innovative contributions to the field.

Membership

He is an active member of professional organizations related to automation and robotics, facilitating collaborations and networking opportunities within the scientific community. His membership underscores his commitment to staying at the forefront of advancements in his field.

Teaching Experience

He Naifeng has experience in guiding students and peers through complex topics in automation and robotics. His ability to communicate intricate concepts effectively makes him a respected figure among his colleagues and students.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering

A Self-Adaptive Double Q-Backstepping Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots

A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots

Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

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Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

Mrs. Caroline Schio, University of Lisbon, Portugal

Caroline Schio is a dedicated researcher and educator specializing in oceanography, environmental education, and agroecosystems. Currently pursuing a PhD in Science Didactics at Universidade de Lisboa, her work focuses on integrating ocean citizenship into basic education through innovative design-based research. With a strong background in socio-environmental education and practical learning, Caroline has led and participated in various research projects, including developing pedagogical models and guides for environmental literacy. Her professional experience spans roles as an educator and president at Instituto Monitoramento Mirim Costeiro in Brazil, and she has contributed to environmental education through numerous publications and conferences. Fluent in Portuguese, English, and Spanish, Caroline is committed to advancing environmental awareness and citizen science.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Caroline Schio

Summary:

Caroline Schio is an exemplary candidate for the Best Researcher Award, recognized for her impactful research and dedication to advancing environmental education and oceanography. Her interdisciplinary approach, combining scientific research with practical education, underscores her significant contributions to the field.

🎓Education:

Caroline Schio is currently pursuing a PhD in Science Didactics at Universidade de Lisboa / Instituto de Educação, Portugal, starting in September 2020. She holds a Postgraduate Certificate in Agroecosystems from Universidade Federal de Santa Catarina, Brazil, awarded in April 2015. Additionally, Caroline completed a Postgraduate Certificate in Fisheries Economics and Management from Universitat Autònoma de Barcelona, Spain, in June 2009. Her academic journey began with a Bachelor in Oceanography from Universidade do Vale do Itajaí, Brazil, obtained in December 2007.

🏢Work Experience:

Caroline Schio has been awarded a PhD Scholarship by Fundação para a Ciência e a Tecnologia at Universidade de Lisboa, Portugal, from November 2023 to November 2025. Prior to this, she worked as a Technician for the Programa Maçarico de Literacia do Oceano at CoLab +ATLANTIC, Portugal, from March 2021 to October 2022. Caroline served as both an Educator and President at Instituto Monitoramento Mirim Costeiro in Brazil from February 2018 to February 2023. She also worked as an Editor and Columnist in the Socioenvironmental Area at Jornal da Praia, Brazil, from July 2011 to December 2012. Earlier in her career, Caroline volunteered as a Researcher at Parque Nacional Manuel Antônio in Costa Rica from December 2006 to February 2007 and worked as an Environmental Educator at Instituto Ambiental Kat Schürmann, Brazil, from December 2005 to March 2006.

Publication Top Notes:

  • Design of a Pedagogical Model to Foster Ocean Citizenship in Basic Education
  • Cultura Oceânica para a Economia Azul
  • Ocean Literacy for the Blue Economy
  • Criaturas da Barra e das Demais Praias da Região de Garopaba-SC
  • Monitoramento Mirim Costeiro

 

 

 

 

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award

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Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award 

Prof Dr. Chia-Yen Lee, National Pingtung University of Science and Technology, Taiwan

Prof. Chia-Yen Lee is a distinguished academic in the field of Mechanical Engineering with a focus on micro-sensors, micro-electro-mechanical systems (MEMS), HVAC systems, and indoor environment monitoring. He completed his B.S. and M.S. degrees in Mechanical Engineering at National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively. He earned his Ph.D. in Engineering Science from National Cheng Kung University, Tainan, Taiwan, in 2004. Prof. Lee has held significant academic positions at National Pingtung University of Science and Technology (NPUST), where he served as a Professor from August 2010 to July 2021 and as a Distinguished Professor from August 2018. Prior to his tenure at NPUST, he was an Associate Professor at Da-Yeh University and a Visiting Scholar at the California Institute of Technology in 2007. His professional career also includes roles in industry as a Section Head at DiCon Fiberoptics, Inc., and senior engineering positions at TECO Electric and Machinery Co., Ltd.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

  • Professor Lee’s research expertise includes micro-sensors, MEMS technology, and indoor environment monitoring. His recent work involves the development of infrared sensors based on ZnO thin films, MEMS-based pyroelectric infrared sensors, and Hall sensor arrays for magnetic field mapping.

Education:

🎓 B.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1987-1991)

🎓 M.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1991-1993)

🎓 Ph.D. in Engineering Science
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan (2001-2004)

Professional History:

👨‍🏫 Distinguished Professor
National Pingtung University of Science and Technology, Taiwan (Aug 2018 – Jul 2021)

👨‍🏫 Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2010 – Jul 2018)

👩‍🏫 Associate Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2008 – Jul 2010)

👩‍🏫 Associate Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2007 – Jul 2008)

🌍 Visiting Scholar
Department of Electrical Engineering, California Institute of Technology, CA, U.S.A. (Jul 2007 – Aug 2007)

👨‍🏫 Assistant Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2004 – Jul 2007)

Publication top Notes:

Positioning System of Infrared Sensors Based on ZnO Thin Film

Positioning System of Infrared Sensors Based on ZnO Thin Film

Effect of Substrate-Thickness on Voltage Responsivity of MEMS-Based ZnO Pyroelectric Infrared Sensors

Design and Application of MEMS-Based Hall Sensor Array for Magnetic Field Mapping

Online monitoring

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Introduction of Online monitoring

Online monitoring is a critical aspect of modern data analysis and decision-making processes. It involves real-time or near-real-time data collection and analysis from various sources, enabling proactive responses to events and trends.

Network Traffic Monitoring:

Investigating methods for real-time monitoring of network traffic to detect anomalies, Cyber Threats, and network performance issues crucial for ensuring the security and reliability of digital systems.

Social Media and Sentiment Analysis:

Focusing on the analysis of social media data in real-time to Track trends, public sentiment, and emerging issues for applications in marketing, reputation management, and crisis response.

Environmental Monitoring:

Addressing the use of online monitoring systems for tracking environmental Parameters such as air quality, weather conditions, and water quality, supporting research, and early warning systems.

Online Health Monitoring:

Analyzing technologies and data analytics methods for real-time health Monitoring through wearable devices and IoT enabling remote patient care and healthcare interventions.

Industrial Process Monitoring:

Exploring online monitoring solutions for industrial processes including manufacturing energy production and quality control to improve efficiency and reduce downtime.

Cybersecurity and Intrusion Detection:

Investigating techniques for online monitoring of system logs user behavior and network traffic to detect and respond to cybersecurity threats and data breaches.