Mr. Chuanxi Liu | Networking protocols | Best Researcher Award

Mr. Chuanxi Liu, State Nuclear Power Information Technology Company.LTD, China

Mr. Chuanxi Liu is a highly skilled professional with a background in Applied Physics and Astrophysics. He holds a BSc. from Shandong Jianzhu University and an MSc. from the University of Chinese Academy of Sciences. With expertise in programming languages such as Embedded C, Python, MATLAB, and more, he has contributed significantly to research and development in various fields. During his tenure at Yunnan Observatory, he conducted groundbreaking research on gamma-ray burst spectra and light, resulting in several published papers. At Shandong University Electric Power Technology Co., Ltd. and State Nuclear Power Information Technology Company.LTD, he applied his expertise in data analysis and image processing to develop innovative solutions for waveform analysis and crack recognition in wind power inspection. His dedication to advancing technology and his commitment to excellence make him a valuable asset in any organization. 🚀

🌐 Professional Profile:

Scopus

Education:

Shandong Jianzhu University BSc. Applied Physics September 2011 – June 2015
University of Chinese Academy of Sciences MSc. Astrophysics September 2015 – June 2019

Skills:

Programming Languages: Embedded C, Python, LaTeX, MATLAB, HTML, C++, C#, CSS, JavaScript, Fortran
Hobby: Exercising, Skating, Football, Swimming

Work Experience:

Yunnan Observatory Master of Science September 2015 – June 2019
- Conducted research and analysis on gamma-ray burst spectra and light, validating astrophysical models.
- Published papers on GRB X-Ray Flare properties and statistical studies of Swift X-Ray Flash.
Shandong University Electric Power Technology Co., Ltd. Distributed Traveling Wave March 2020 – June 2022
- Processed one-dimensional waveform data using neural network calculation for ranging.
- Developed image processing methods for identifying faulty waveform signals.
- Patented a Traveling Wave Ranging Method and System based on dynamic waveform analysis.
State Nuclear Power Information Technology Company.LTD Wind Power Inspection March 2020 – June 2022
- Conducted oil leakage detection, regional segmentation, and instrument panel reading.
- Developed algorithms for crack recognition using skeleton extraction and defect detection.
- Presented paper on TBFF-DAC: Two-branch Feature Fusion Based on Deformable Attention and Convolution for Object Detection.

Publication Top Notes:

TBFF-DAC: Two-branch feature fusion based on deformable attention and convolution for object detection

Published in Computers and Electrical Engineering, 2024.

Mr. Ashuqullah Alizai | Communication Protocols | Best Researcher Award

Mr. Ashuqullah Alizai, Hochschule Aalen, Germany

Ashuqullah Alizai is a highly skilled professional with extensive experience in database management, web development, and IT leadership. With a background in electric and electronics engineering, he holds a Master of Science in Informatics with a focus on database management from the Technical University of Berlin. Throughout his career, Ashuqullah has served in various capacities, including as Director of Communication and IT at the Ministry of Communication and IT in Herat, Afghanistan, and as Faculty Dean and Head of Department at the Computer Science Faculty of Herat University. He is proficient in a variety of programming languages and databases, with a strong command of Pashto, Dari, English, and German languages. Ashuqullah’s expertise spans from teaching and research to managerial roles, making him a versatile professional in the field of IT and education.

Professional Profile:

Scopus

🎓 Education

Bachelor of Electric and Electronics Engineering, Kabul University (2002-2006)
Master of Science in Informatics (Database Management), Technical University of Berlin (2011-2013.