Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award

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Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award 

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Professional Profile:

ORCID

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Education 📚

  • Doctor of Medical Sciences
    University of Medicine and Pharmacy Craiova (UMF Craiova)
    2014 – 2020
  • Doctoral Scholarship
    UMF Craiova (POSDRU/187/1.5/S/156069)
    2014 – 2015
  • Bachelor’s Degree in Medicine
    UMF Craiova
    2003 – 2009
  • High School Diploma
    Balş Theoretical High School
    1999 – 2003

Professional Development 🎓

  • Specialist Surgeon
    Ministry of Health Order no. 721/04.06.2018
    2018 – Present
  • General Surgery Resident
    2012 – 2018
  • Family Medicine Resident
    2010 – 2012

Areas of Competence 💪

  • DPPD Module (2008)
  • English for Specific Purposes – Medical English B2 (2021)

Professional Experience 🏥

  • Current Position:
    University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
    2022 – Present
  • Previous Positions:
    • University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
    • General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
    • Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview
Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach
Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative
Analysis
The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic

 

 

Prof. Bin Chen | Neural Network Awards | Best Researcher Award

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Prof. Bin Chen | Neural Network Awards | Best Researcher Award 

Prof. Bin Chen, Xi’an Jiaotong University, China

Bin Chen is a distinguished Professor and Deputy Director at the State Key Laboratory of Multiphase Flow in Power Engineering at Xi’an Jiaotong University in China. he has dedicated his academic career to advancing the field of multiphase flow and thermal engineering. Chen obtained his Bachelor’s, Master’s, and Ph.D. degrees in Power Engineering and Thermal Engineering from Xi’an Jiaotong University, further enhancing his expertise with a postdoctoral fellowship from the Japan Society for the Promotion of Science. His research interests encompass fundamental studies of multiphase flow, including interface tracking methods and messless methods, as well as applications in biomedical engineering such as theoretical modeling for laser dermatology and cryogen spray cooling. An advocate for integrating artificial intelligence in sensor technology, he has contributed significantly to his field and serves on various professional committees, including as Director of the subsidiary panels of Multi-phase Flows and Non-Newtonian Flows at the Chinese Society of Theoretical and Applied Mechanics. Chen’s achievements have been recognized with honors such as the National Outstanding Leading Scientist award in 2018 and designation as a New Century Excellent Talent by the Ministry of Education of China in 2007. He also serves on the editorial boards of notable journals in thermofluid science and chemical engineering.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Bin Chen

Bin Chen, a distinguished professor at Xi’an Jiaotong University and Deputy Director of the State Key Laboratory of Multiphase Flow in Power Engineering, is a leading expert in the field of multiphase flow and thermal engineering. His extensive educational background, including a Bachelor’s, Master’s, and Ph.D. from Xi’an Jiaotong University, has laid a solid foundation for his impressive research career.

Education

  • Ph.D. in Thermal Engineering
    Xi’an Jiaotong University, 1997 – 2002
  • Master of Cryogenic Engineering
    Xi’an Jiaotong University, 1993 – 1996
  • Bachelor of Power Engineering
    Xi’an Jiaotong University, 1989 – 1993

Work Experience

  • Professor
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    February 2008 – Present
  • Deputy Director
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    January 2009 – Present
  • Associate Professor
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    August 2003 – January 2008
  • Lecturer
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    May 2000 – July 2003
  • Lecturer
    Chemical Engineering School, Xi’an Jiaotong University
    July 1996 – April 2000
  • Postdoctoral Fellow
    Japan Society for the Promotion of Science
    March 2002 – March 2004

Publication Top Notes

The curvature-adaptive voxel Monte Carlo (CAVMC) method-based photothermal model for customized retinal laser surgery

Study on the mechanism of hydrogen production from bamboo gasification in supercritical water by ReaxFF molecular dynamics simulation

The high-concentration and pumpable pig manure slurry: Preparation, optimization, and evaluation for continuous supercritical water gasification

A novel coaxial air-R134a spray cooling for heat transfer enhancement of laser dermatology

Fe3O4/Au@SiO2 nanocomposites with recyclable and wide spectral photo-thermal conversion for a direct absorption solar collector

Noninvasive Detection of the Skin Structure and Inversed Retrieval of Chromophore Information Based on Diffuse Reflectance Spectroscopy

Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

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Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

Assoc Prof Dr. Wenlong Hang, Nanjing Tech University, China

Wenlong Hang holds a Doctor of Engineering degree from Jiangnan University, where he graduated in June 2017, specializing in Light Industry Information Technology. During his doctoral studies, he visited both Hong Kong Polytechnic University and the Shenzhen Institutes of Advanced Technology. Since September 2017, Dr. Hang has been a faculty member at the School of Computer Science and Technology at Nanjing Tech University. His research interests primarily focus on artificial intelligence and machine learning, with a particular emphasis on medical image analysis and EEG signal processing. He has published more than 30 papers in reputable journals and conferences, contributing significantly to semi-supervised learning, federated learning, and EEG classification techniques. His representative works include research on medical image segmentation, reliability-aware semi-supervised frameworks, and domain-generalized EEG classification.

Professional Profile:

Summary of Suitability for Best Researcher Award :

Wenlong Hang is highly suitable for the Best Researcher Award based on his extensive research and contributions in the fields of artificial intelligence, machine learning, and medical image processing. His academic background, with a Doctor of Engineering degree from Jiangnan University, and professional experiences at institutions like Hong Kong Polytechnic University and Shenzhen Institutes of Advanced Technology, demonstrates his deep involvement in advanced technological research.

Education:

  • Doctor of Engineering (Graduated in June 2017)
    • Major: Light Industry Information Technology
    • Institution: Jiangnan University
    • Doctoral Visits: Hong Kong Polytechnic University, Shenzhen Institutes of Advanced Technology

Work Experience:

  • Since September 2017: Faculty Member
    • Position: Professor at the School of Computer Science and Technology
    • Institution: Nanjing Tech University

Research Areas:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Medical Image Segmentation
  • EEG Classification

Publication top Notes:

CITED: 109
CITED: 109
CITED: 73
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