Heru Syah Putra | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Heru Syah Putra
Telkom University, Indonesia

Heru Syah Putra
Affiliation Telkom University
Country Indonesia
Scopus ID 57217387615
Documents 4
Citations 9
h-index 1
Subject Area Engineering
Event Computer Scientists Awards
ORCID 0000-0002-3411-719X

Heru Syah Putra is an emerging researcher in computer engineering whose scholarly activities focus on computer vision, digital image processing, embedded systems programming, artificial intelligence, and fisheye camera technologies. His academic journey spans Indonesia and Taiwan, where he has contributed to research and development activities in advanced imaging systems and intelligent computing applications. His work demonstrates interdisciplinary engagement between engineering, automation, visual perception systems, and autonomous navigation technologies.[1]

Abstract

This article presents an overview of the academic profile, research activities, and scholarly contributions of MR. Heru Syah Putra. His work focuses on computer vision, digital image processing, artificial intelligence, embedded systems programming, and advanced imaging technologies. Through research involving fisheye cameras, visual odometry, deep learning models, and autonomous navigation systems, he has contributed to engineering-oriented solutions for intelligent systems and machine perception. His academic record includes publications, conference presentations, and international research experience that support his recognition within the engineering and computer science community.[2]

Keywords

Computer Vision, Digital Image Processing, Artificial Intelligence, Embedded Systems Programming, Fisheye Camera Technology, Deep Learning, Autonomous Navigation, Visual Odometry, Engineering Research.

Introduction

Born in Bengkulu, Indonesia, Heru Syah Putra obtained a Bachelor of Computer Science degree from Universitas Bengkulu before pursuing graduate studies in Electronics Engineering at Ming Chi University of Technology in Taiwan. His educational background provided a foundation for interdisciplinary research involving computer engineering, image analysis, and intelligent systems. Throughout his academic development, he has focused on practical applications of artificial intelligence and computer vision technologies for engineering environments.[3]

Research Profile

Heru Syah Putra served as a Teaching Assistant and later as a Research Assistant within the Electronics Engineering discipline at Ming Chi University of Technology. His research interests include computer vision, digital image processing, embedded systems, artificial intelligence, and fisheye camera applications. These areas support the development of autonomous systems capable of environmental perception, navigation, and intelligent decision-making.[1]

Research Contributions

  • Development of fisheye camera-based imaging and perception systems.
  • Research on deep learning approaches for image classification and recognition.
  • Investigation of monocular visual odometry techniques for localization and mapping.
  • Advancement of autonomous navigation systems using 3D mapping methodologies.
  • Application of OpenCV technologies for advanced driver assistance systems (ADAS).

Publications

  • Enhanced Crack Resistance Using Bamboo Fiber-Reinforced Polymer Composite for Lightweight Structural Applications (2026).
  • Innovative 220° FoV 3D Mapping Using Fisheye Camera for Autonomous Agent Navigation: 3D AMCL Approach (2025).
  • Bird View Using OpenCV for ADAS System (2022).
  • Computer Vision: Classification of Images Based on Deep Learning with CNN Architecture Model (2022).
  • Monocular Visual Odometry for Three Different View Angles by Intel Real sense T265 (2022).

Research Impact

With documented scholarly outputs, citations, and international research engagement, Heru Syah Putra has contributed to emerging developments in computer vision and engineering research. His investigations into image processing and autonomous systems align with current technological priorities involving intelligent transportation, machine perception, and AI-assisted decision systems. His Best Presentation Award recognition further reflects active participation within the international research community.[4]

Award Suitability

MR. Heru Syah Putra demonstrates qualities commonly associated with recipients of research recognition programs. His interdisciplinary expertise, publication record, international academic experience, and sustained focus on practical engineering applications support consideration for the Best Researcher Award. His contributions address contemporary challenges in computer vision, autonomous navigation, and artificial intelligence while maintaining relevance to both academic and industrial communities.[5]

Conclusion

The academic profile of MR. Heru Syah Putra illustrates a developing career focused on engineering innovation and intelligent computing systems. His contributions to image processing, computer vision, embedded systems, and autonomous navigation technologies demonstrate scholarly engagement with important technological domains. Continued research activity is expected to further strengthen his impact within engineering and computer science disciplines.[6]

References

  1. ORCID. (n.d.). Heru Syah Putra researcher profile and employment records.
    https://orcid.org/0000-0002-3411-719X
  2. Springer. (2025). Innovative 220° FoV 3D Mapping Using Fisheye Camera for Autonomous Agent Navigation.
    https://doi.org/10.1007/978-981-96-8011-5_17
  3. Academic Records. (n.d.). Educational qualifications of Heru Syah Putra.
    https://orcid.org/0000-0002-3411-719X
  4. Conference Recognition. (2022). Best Presentation Award documentation.
  5. Elsevier. (n.d.). Scopus author details: Heru Syah Putra, Author ID 57217387615.
    https://www.scopus.com/authid/detail.uri?authorId=57217387615
  6. MDPI. (2026). Enhanced Crack Resistance Using Bamboo Fiber-Reinforced Polymer Composite.
    https://doi.org/10.3390/jcs10060301

Mr. Hao Chen | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Hao Chen | Engineering | Best Researcher Award

Student, Shanghai Maritime University, China

Hao Chen is a dedicated student and emerging researcher in the field of electrical engineering, currently pursuing his Master’s degree at Shanghai Maritime University, China. With a passion for innovation in power electronics, he has co-authored a high-impact review paper and presented at a top international conference. His collaborative efforts with globally renowned professors demonstrate his potential to become a significant contributor to academic research. 🌟📘

Publication Profile

ORCID

🎓Education Background

Hao Chen earned his Bachelor of Science (B.S.) degree in Electrical Engineering from Shanghai Maritime University in 2022. He is presently enrolled in the same university for his Master of Science (M.S.) degree in Electrical Engineering, with a focus on advanced inverter technologies and power systems. 🏫⚡

💼Professional Experience

Although currently a student, Hao Chen has taken an active role in academic research and publication. He co-authored a comprehensive review article alongside distinguished professors Prof. Weimin Wu and Prof. Frede Blaabjerg, showcasing his research capabilities and interdisciplinary collaboration skills. 🧑‍💻📑

🏆Awards and Honors

While Hao Chen has not yet received formal awards, his selection as a co-author with leading researchers and his acceptance at IPEMC 2024 highlight his growing recognition in the academic community. His contributions reflect promise and dedication in the early stages of his research career. 🏅📈

🔬Research Focus

Hao Chen focuses on Hybrid Three-Level Active Neutral-Point Clamped (HT-ANPC) inverters, emphasizing topological innovations, performance improvements, and practical application challenges. His work targets the development of more efficient and reliable power converters essential for modern electrical systems and renewable energy applications. 🔋🔧

📝Conclusion

Hao Chen stands out as a motivated young researcher with a clear academic direction and collaborative mindset. His contribution to inverter research, joint work with established experts, and commitment to scholarly excellence position him as a promising candidate for the Best Researcher Award. 🚀📚

📚Top Publication Note

Title: A Review of Hybrid Three-Level ANPC Inverters: Topologies, Comparison, Challenges and Improvements in Applications
Journal: Energies
DOI: 10.3390/en18102613

Hui Peng | Engineering | Best Researcher Award

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Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

Profile

ORCID

🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety