Dr. Yi Sun l Quantitative risk assessment | Best Researcher Award

Dr. Yi Sun | Quantitative risk assessment | Best Researcher Award

👩‍⚕️ Dr. Yi Sun Institute for Occupational Safety and Health of the German Social Accident Insurance University, Germany

Dr. Yi Sun a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Orcid profile

Scopus profile

🔬 Professional Profile

Occupational epidemiology expert with a focus on epidemiological methods, exposure assessment, and quantitative risk evaluation. Dr. Sun serves as a senior epidemiologist and consultant at the German Social Accident Insurance (DGUV), specializing in:

Regulatory risk assessment for work-related hazards Defining and recognizing occupational diseases based on evidence Evaluating research applications and final reports from various projects Peer-reviewing for esteemed international journals like OEM, European Journal of Epidemiology, International Archives of Occupational and Environmental Health, among others.

🔍 Research Projects

Dr. Sun has contributed to various epidemiological projects covering osteoarthritis, macular degeneration, breast cancer etiology, lung cancer screening among radon-exposed workers, respiratory health effects, and more. These studies span diverse worker groups, including those in the rubber industry, coal tar refineries, and workers exposed to silica dust and diesel exhaust.

👨‍💼 Employment History

Present: Applied Epidemiology at Institute of Occupational Safety and Health (BGIA), German Social Accident Insurance

University of MĂĽnster, Institute of Epidemiology and Social Medicine

University of Ulm, Department of Epidemiology

Beijing Quarantine Service, China

đź“š Education

University of Essen: Doctor of Medicine (MD)

Beijing University, Medical Division: Bachelor of Preventive Medicine (Public Health)

🗣️ Languages

Chinese: Native proficiency

German: Fluent (written and spoken)

English: Fluent (written and spoken)

📖 Publications  Top Note :

Development and Validation of a Practical Instrument for Injury Prevention: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT)   paper publication in June 2018

Exposure–response relationship and doubling risk doses—a systematic review of occupational workload and osteoarthritis of the hip     paper publication in 30 September 2019 cite by 4

 

 

 

 

Mr. Emanuele Buchicchio l measurement | Best Researcher Award

Mr. Emanuele Buchicchio | measurement | Best Researcher Award

PHD at  University of Perugia, Italy

Mr. Emanuele Buchicchio Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Scopus profile

Orcid profile

Google scholar

Researchgate

Professional 

I’m an Italian software engineer and Ph.D. student with a great passion for science and technology. My experience spans across various software projects and products, and my interests revolve around software development, machine learning, deep learning, cloud computing, DevOps, cybersecurity, IoT, and software quality metrics.

My career includes technical and managerial roles in multinational companies in electronics and fashion sectors. Holding an MBA since November 2011, I ventured into Smartpeg in July 2016, focusing on Industrial IoT, AI, and ML projects. I’m currently the Chief Technology Officer (CTO) and Chief Information Security Officer (CISO), concentrating on AI-powered solutions for human resource management.

Main Skills

I specialize in web application design, .Net/Core, C#, Java, Typescript, Angular, Python, Industrial IoT, Embedded Systems, machine learning, cybersecurity, ISO 27001, Cloud (Microsoft Azure, Google Cloud), Agile methodologies, software quality metrics, and GDPR compliance.

Language Proficiency

French: A1

English: C1

Work Experience

PhD Student (Since Nov. 2020): University of Perugia, focusing on machine learning-based measurement tools. Chief Technology Officer (Since July 2016): Smartpeg srl – Perugia, involved in web app design, development, and AI-powered solutions. Senior Software Developer (June 2014 – July 2016): Pegaso200 srl – Corciano, worked on web applications, web services, and single-page applications. Consultant / Software Developer (Feb. 2011- Jun. 2014): Gianos Consulting S.r.l. – Orvieto, involved in web and mobile app development, CRM solutions. Product Manager (Oct. 2008 – Jan. 2011): Eles Semiconductor Equipment – Todi, managed software products and documentation. Software Engineer (Jan. 2007 – Oct. 2008): Eles Semiconductor Equipment – Todi, involved in software development and quality management.

Education and Training

PhD Winter/summer Schools: Attended various ML and AI-focused programs. Azure Cloud Fundamentals, AI Product Manager Nanodegree, Microsoft Professional Programs for Data Science. MBA (Jun. 2010 – Nov. 2011) and Engineering Degrees (2004 – 2006) from the University of Perugia. High school degree (1995 – 2000) from Liceo Statale Jacopone da Todi, Todi (PG).

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 94, Since 2018 – 94
  • h-index: All – 5, Since 2018 – 5
  • i10 index: All – 4, Since 2018 – 4

 

📖 Publications  Top Note :

Uncertainty characterization of a practical system for broadband measurement of battery EIS  paper publication in 2022 cite by 28

Gesture recognition of sign language alphabet using a magnetic positioning system   paper publication in 2021 cite by 18

Practical broadband measurement of battery EIS  paper publication in 2016 cite by 21

Dataset on broadband electrochemical impedance spectroscopy of Lithium-Ion batteries for different values of the state-of-charge     paper publication in 2022 cite by 11

EasyEIS: A software tool to perform electrochemical impedance spectroscopy using a source measure unit     paper publication in 2022 cite by 5

Battery SOC estimation from EIS data based on machine learning and equivalent circuit model    paper publication in 2023 cite by 4

LiBEIS: A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries   paper publication in 2022 cite by 4