Dr. Luigi De Simio, Consiglio Nazionale delle Ricerche, Italy

Dr. Luigi De Simio, born on 11/22/1978 in Benevento, Italy, is a distinguished researcher at the Institute of Sciences and Technologies for Sustainable Energy and Mobility (STEMS) of the National Research Council. He earned his Master’s and PhD degrees in Mechanical Engineering from the University of Naples Federico II. With expertise in alternative propulsion systems, he focuses on optimizing internal combustion engines with hydrogen-based fuels and hybrid solutions. Dr. De Simio has authored over 50 technical papers and holds a European patent for a thermal-electric hybrid propulsion system. He has contributed significantly to national projects like GREEN POWERTRAIN and TRIM, as well as international endeavors such as MhyBus and BEAUTY. His dedication to sustainable energy solutions has earned him recognition as a reviewer for top journals and an evaluator for projects funded by the Italian Ministry of Economic Development.

Professional Profiles :

Scopus

Orcid

Google Scholar

Education:

Dr. Luigi De Simio is a distinguished scholar whose academic journey has been marked by a relentless pursuit of excellence in mechanical engineering. Graduating with a Master’s degree from the prestigious University of Naples Federico II in 2006, he swiftly ascended to the realm of doctoral studies, obtaining his PhD in the same discipline in 2010. With a foundation built upon rigorous scholarship and a passion for innovation, Dr. De Simio continues to illuminate the field with his expertise and dedication.

Work:

Dr. Luigi De Simio embarked on an illustrious journey in the realm of research following his doctoral studies, undertaking impactful postdoctoral work at CNR from 2010 to 2012. His dedication and expertise led him to transition into a full-time researcher role at CNR, where he continues to push the boundaries of knowledge in his field with unwavering determination and passion. Dr. De Simio’s contributions stand as a testament to his commitment to advancing scientific understanding and driving innovation forward.

Achievements:

Dr. Hamin Chong’s career is adorned with remarkable achievements, including the publication of over 50 technical papers, which stand as a testament to his scholarly prowess and contributions to the field of mechanical engineering . Notably, his ingenuity has been recognized with the granting of a European patent in 2021 for a groundbreaking thermal-electric hybrid propulsion system, underscoring his innovative spirit and commitment to advancing sustainable technologies . Dr. Chong’s achievements serve as inspiration for aspiring engineers and researchers worldwide, reflecting his unwavering dedication to driving impactful change through cutting-edge research and development.

Research Interests :

Dr. Luigi De Simio’s remarkable career is adorned with numerous achievements that underscore his profound impact in the field of mechanical engineering. With a prolific output, he has authored over 50 technical papers, cementing his reputation as a leading scholar in his domain. Furthermore, his innovative spirit and groundbreaking research culminated in the granting of a European patent in 2021 for his pioneering work on a thermal-electric hybrid propulsion system, marking a significant milestone in sustainable transportation technology. Dr. De Simio’s contributions continue to shape the landscape of engineering and inspire future generations of innovators.

 Publication Impact and Citations :

Scopus Metrics:

•  Publications: 31 documents indexed in Scopus.
•  Citations: A total of 402 citations for his publications, reflecting the widespread impact and recognition of Dr. Luigi De Simio’s research within the academic community.

Google Scholar Metrics:

• All Time:
  • Citations: 578
  • h-index: 10
  • i10-index: 11
• Since 2018:
  • Citations: 300
  • h-index: 8
  • i10-index: 7

A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics.

Publications Top Notes  :

1.  Combustion efficiency and engine out emissions of a SI engine fueled with alcohol/gasoline blends

Published  Year – 2013, Published in Applied Energy, cited by 206 articles.

2.  Numerical simulation and experimental test of dual fuel operated diesel engines

Published  Year – 2014, Published in Applied Thermal Engineering, cited by 93 articles.

3.  A numerical and experimental study of dual fuel diesel engine for different injection timings

Published  Year – 2016, Published in Applied Thermal Engineering, cited by 50 articles.

4.  Combined numerical-experimental study of dual fuel diesel engine

Published  Year – 2014, Published in Energy Procedia, cited by 43 articles.

5.  Possible transport energy sources for the future

Published  Year – 2013,  Published in Transport Policy, cited by 27 articles.

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Mr. Hamin Chong, Ls Mtron, South Korea

Mr. Hamin Chong is a skilled computer vision expert with a master’s degree in Industrial Data Engineering from Hanyang University. Currently serving as a Research Engineer at LS Mtron, a major player in agricultural machinery manufacturing, he specializes in AI-based technology research and system development. Hamin has excelled in developing anomaly detection and object detection models, contributing to quality improvement in manufacturing processes. His innovative work includes creating a real-time leakage inspection support system and a lightweight engine exterior inspection model, showcasing his ability to enhance model accuracy with limited data. With a background in mechanical engineering and experience at the Advanced Manufacturing Laboratory, Hamin is dedicated to smart manufacturing systems and has actively contributed to standardizing data in continuous process industries. His expertise extends to unsupervised and integrated ensemble learning algorithms for anomaly detection, as evidenced by publications and patents. Proficient in Python, SQL, and Tableau, Hamin is a dynamic professional who continually seeks to bridge the evolving boundaries between natural language processing and computer vision.

Professional Profiles :

Scopus

Experience:

1. LS Mtron (Research Engineer)
   • AI-based technology research and system development.
   • Real-time leakage inspection support system with a high accuracy model (f1 score: 0.92).
   • Development of lightweight engine exterior inspection model with a 90% size reduction.
2. Advanced Manufacturing Laboratory
   • Smart manufacturing systems developer contributing to industry competitiveness.
   • Standardization of shared data in continuous process industries.
   • Development of unsupervised and integrated ensemble learning-based automatic labeling and anomaly detection algorithm.

Education:

• Master’s degree in Industrial Data Engineering, Hanyang University.
• Bachelor’s degree in Mechanical Engineering, Sungkyunkwan University.

Paper & Patent:

• Method for detecting welding defects and learning method for detecting welding defects (2022).
• Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition, Journal of Manufacturing Processes (2024).

Skills:

• Language: Python, SQL.
• Big Data Analyst, Data Analysis Associate, SQL Developer.
• BI: Tableau (Training Completion: Oct-Nov 2023).

Research Interests :

Hamin Chong is a visionary computer vision expert with a fervent interest in transforming data landscapes. Armed with a master’s degree in Industrial Data Engineering, he excels in developing innovative solutions for anomaly detection and object recognition. As a Research Engineer at LS Mtron, he played a pivotal role in AI-based technology research, enhancing manufacturing processes through real-time leakage inspection support systems and lightweight engine exterior inspection models. Hamin’s journey extends to the Advanced Manufacturing Laboratory, where he contributed to standardizing shared data in continuous process industries and pioneered unsupervised ensemble learning for automatic labeling and anomaly detection. With a robust skill set in Python, SQL, and Tableau, he embraces challenges in Big Data Analysis, embodying a commitment to shaping the future of smart factories.

Publications Top Notes  :

Title: Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition

Authors: Kim, D.B., Chong, H., Mahdi, M.M., Shin, S.-J.

Published Year: 2024

Journal: Journal of Manufacturing Processes

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Mr. Jiajun Pang, University at Buffalo, United States

Mr. Jiajun Pang is an avid academician currently pursuing his Ph.D. in Transportation Engineering at the University at Buffalo, SUNY, expected to complete in July 2025. Holding a Master’s degree in Transportation Engineering from Beijing University of Technology (June 2019) and a Bachelor’s degree from the same institution (June 2016), his educational journey showcases a profound commitment to advancing knowledge in the field. As a Research Assistant in the Transportation Research Lab since February 2020, Jiajun applies his expertise to delve into winter traffic safety intricacies, contributing to the analysis of the autonomous vehicles market and exploring the impacts of the Winter Intelligent Road Information System. His diverse research spans from game theory in global maritime transportation to driving simulation data for tourism sign effectiveness evaluation. Jiajun’s dynamic role illuminates his dedication to unraveling transportation dynamics, and his research interests in Big Data Analysis and Traffic Safety promise innovative contributions to data-driven decision-making in the realm of transportation.

 Education : 

Mr. Jiajun Pang is on an academic journey, currently pursuing his Ph.D. in Transportation Engineering at the University at Buffalo, SUNY, with an expected completion date in July 2025. His passion for the field is evident in his previous academic achievements, holding a Master’s degree in Transportation Engineering from Beijing University of Technology (June 2019) and a Bachelor’s degree in the same discipline from the same institution (June 2016). Jiajun’s commitment to advancing his knowledge in transportation engineering showcases a trajectory of academic excellence and dedication to the field of study.

Professional Profiles : 

ORCID

Scopus

Experience :

 Mr. Jiajun Pang brings valuable expertise as a Research Assistant in the Transportation Research Lab within the Civil, Structural, and Environmental Engineering domain since February 2020. His dynamic role involves delving into the intricacies of winter traffic safety through the application of the random parameter hazard duration model. Jiajun also contributes to the analysis of the autonomous vehicles market, employing the random parameter ordered probit model. His innovative contributions extend to designing and exploring the potential impacts of the Winter Intelligent Road Information System on winter travel. Using paired t-tests on data from self-designed stated preference surveys, he investigates travel behaviors in winter weather. Additionally, Jiajun applies game theory to model the competition in global maritime transportation and utilizes driving simulation data to evaluate the effectiveness of tourism signs. His diverse skill set and research pursuits illuminate his dedication to advancing the understanding of transportation dynamics.

Research Interests :

Mr. Jiajun Pang’s research interests form a compelling intersection of Big Data Analysis and Traffic Safety. His academic pursuits reflect a commitment to unraveling insights from vast datasets, contributing to the realm of data-driven decision-making. Passionate about enhancing transportation systems, Jiajun focuses on leveraging big data to analyze and improve traffic safety. His research endeavors promise to bring innovative solutions to the dynamic landscape of transportation, ensuring safer and more efficient journeys for all.

Citations : 

Scopus Metrics:

•  Publications: 3 documents indexed in Scopus.
•  Citations: A total of 26 citations for his publications, reflecting the widespread impact and recognition of Mr. Jiajun Pang’s research within the academic community.

Publications Top Notes  :

1.  A temporal instability analysis of environmental factors affecting accident occurrences during snow events: The random parameters hazard-based duration model with means and variances heterogeneity

Journal: Analytic Methods in Accident Research, 2022, 34, 100215

Cited by: 22

2.  Semi-buspool: Demand-driven Scheduling for Intercity Bus Based on Smart Card Data

Conference: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, pp. 752–757, 2019

3.  Road Network Capacity Based on the Time-Space Consumption and the Traffic Operation Efficiency Theory 

Journal: Journal of Beijing University of Technology, 2019, 45(9), pp. 895–903

Cited by: 4

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