Shu Tang | Multi-view 3D reconstruction | Best Researcher Award

Posted on by sciencefather

Assoc Prof Dr. Shu Tang | Multi-view 3D reconstruction | Best Researcher Award

Associate Professor, Chongqing University of Posts and Telecommunications, China

Tang Shu is an Associate Professor at the College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China. Specializing in computer vision, his research focuses on image restoration and 3D reconstruction.

Profile

ORCID

🎓 Education:

Tang Shu received his M.E. degree from Chongqing University of Posts and Telecommunications in 2007 and his Ph.D. from Chongqing University in 2013.

💼 Experience:

Tang Shu has been an Associate Professor at Chongqing University of Posts and Telecommunications since February 24, 2014, accumulating over 10 years of professional experience.

🔬 Research Interests:

Tang Shu’s research encompasses computer vision, image restoration, and 3D reconstruction. He has developed strategies like EFERS, SI-SDF, and VMES for enhancing surface information reconstruction, geometry optimization, and material estimation.

🏆 Awards:

Tang Shu has published over 10 academic papers, presided over 10 scientific research projects, and been granted 6 invention patents. He has completed significant projects including the 61601070 project and ongoing ones like CSTB2023NSCQ-MSX0680.

Publications

Here are some of Tang Shu’s notable publications:

Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring – Computer Aided Geometric Design, 2020.

Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring – IEEE Transactions on Circuits and Systems for Video Technology, 2020.

Non-blind Image Deblurring Method by Local and Nonlocal Total Variation Models – Signal Processing, 2019.

Joint Texture/Depth Power Allocation for 3-D Video SoftCast – IEEE Transactions on Multimedia, 2018.

REAL-TIME TRACKING OF VEHICLES WITH SIAMESE NETWORK AND BACKWARD PREDICTION – IEEE Access, 2021.

 

qianqian zhang | Computer application technology | Best Dissertation Award

Posted on by sciencefather

Dr. qianqian zhang | Computer application technology | Best Dissertation Award

Doctoral student, University of Chinese Academy of Sciences, China

Qianqian Zhang is a doctoral student at the University of Chinese Academy of Sciences, specializing in computer application technology within the School of Computer Science and Technology and the National Space Science Center. With notable achievements in electronic information technology for complex space systems, Qianqian has excelled in both academic and research arenas.

Profile

ORCID

🎓 Education:

  • Bachelor’s Degree: Hefei University of Technology, School of Computer Science and Information, Electronic Information Science and Technology, 2017-2021 (Graduated with the highest average score).
  • Master’s Degree: University of Chinese Academy of Sciences, School of Computer Science and Technology/National Space Science Center, Computer Application Technology, 2021-2024 (GPA: 3.7/4.0).
  • Ph.D. Candidate: Continuing at the University of Chinese Academy of Sciences, with significant contributions including 4 patents and several research publications.

🛠 Experience:

Qianqian Zhang has 3 years of experience in the field of computer application technology, with a focus on AI, deep learning, computer vision, and electronic design. She has been mentored by leading experts and has extensive practical experience with PyTorch, PaddlePaddle, TensorFlow, and multimodal data.

🔬 Research Interests:

Her research interests include multimodal data processing, small target detection, model lightweighting, video compression, and efficient deployment of models. She has made significant contributions to the fields of intelligent computing and system-on-chip design.

🏆 Awards:

Qianqian has received numerous national and regional awards, including top prizes in robotics control competitions. Her academic excellence is recognized through various awards and honors in advanced mathematics and electronic design.

📚 Publications:

“Real-time Recognition Algorithm of Small Target for UAV Infrared Detection” (SCI Journal, 2023) [Cited by 5 articles]

“Design of H.264 Video Compression System Based on Domestic CPU+GPU” (Conference Paper, 2023) [Cited by 2 articles]

“Multi-YOLO: Small Target Detection Algorithm Based on Visible and Infrared Multimodal Fusion” (Contributing Paper, 2024) [Cited by 3 articles]

 

Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Posted on by sciencefather

Mr. Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Assistannt Professor, Chinese Academy of Agriculture Institute of Urban Agriculture, China

Mr. Zhiwei Tian is an Assistant Professor at the Intelligent Gardening Equipment Research Center, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. With a passion for agricultural robotics, he has made significant contributions to the field through innovative research and development.

Profile

Google Scholar

Education: 🎓

Zhiwei Tian holds a Bachelor’s degree from Sichuan Agricultural University (2013-2017) and a Master’s degree from the Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs (2017-2020). He is currently pursuing a Ph.D., which he started in 2021.

Experience: 📚

With over 7 years of experience in the field, Zhiwei Tian has worked extensively on agricultural robotic systems. His work includes target precise recognition algorithms and the design of adaptive end-effectors. He has served as an engineer during his Master’s studies and now as an Assistant Professor since July 2020.

Research Interests: 🔍

His primary research interests lie in agricultural robotics, focusing on machine vision-based target detection and the development of robotic systems for complex agricultural environments. His notable innovations include the RTF-YOLO network model for strawberry detection and the YCCB-YOLO algorithm for citrus fruit detection.

Awards: 🏆

Zhiwei Tian’s work has earned him multiple recognitions, including the “High Download, High Citation” award from CNKI in 2023. He has been invited to speak at prestigious conferences such as the FAO Youth Scientist Development Forum and the International Tropical Fruit Symposium.

Publications and Citations

“Detection of Strawberry Using RTF-YOLO Network Model” (2022, Agronomy)
Cited by 20 articles
Detection of Strawberry Using RTF-YOLO Network Model

“Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm” (2023, Applied Sciences)
Cited by 15 articles
Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm

“Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings” (2021, Agriculture)
Cited by 10 articles
Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings

 

 

 

 

Ali Arshad | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Assoc Prof Dr . Ali Arshad | Artificial Intelligence | Best Researcher Award

Head of Department & Associate Professor, NASTP Institute of Information Technology, Lahore, Pakistan

Dr. Ali Arshad is an accomplished academic and researcher with expertise in  Artificial Intelligence and Healthcare. He holds a Ph.D. in Computer Science and Technology from Xidian University, China, and has over 15 years of experience in academia and research

Profile

Google Scholar

Education🎓

Dr. Ali Arshad completed his Ph.D. in Computer Science and Technology from Xidian University, China, focusing on Semi-Supervised Deep Fuzzy C-Mean Clustering and Classification. Prior to that, he obtained an MS in Software Engineering from the International Islamic University, Islamabad, and a BS in Computer Science from IQRA University, Islamabad.

Experience 💼

With a rich background spanning 15 years, Dr. Arshad has held various academic and professional positions. Notably, he served as an Assistant Professor at institutions like the National University of Technology and Abasyn University. He also worked as a Research Associate at Xidian University and held managerial roles in software development.

Research Interests 🧠

Dr. Arshad’s research interests lie at the intersection of Artificial Intelligence and Healthcare. He aims to leverage AI methods to revolutionize healthcare practices and innovate solutions for better patient care.

Awards 🏆

Dr. Arshad has received prestigious awards and recognition for his contributions to research and academia. Notably, he was awarded a Full Bright Scholarship for his Ph.D. studies and has won Best Paper Awards at international conferences.

Publications 📚

Muhammad Sajjad | Computer Science | Best Researcher Award

Posted on by sciencefather

 Dr.  Muhammad Sajjad | Computer Science | Best Researcher Award

Faculty (Visiting), Quaid-I-Azam University Islamabad, Pakistan

Muhammad Sajjad is a Pakistani mathematician specializing in cybersecurity and cryptography. With a Ph.D. from Quaid-i-Azam University, his research focuses on advanced coding and cryptographic schemes, published extensively in renowned journals. He’s received numerous awards, including the International Research Award on Cybersecurity and Cryptography. Sajjad’s expertise extends to teaching and international collaborations, contributing significantly to academia. 🎓 His innovative work bridges theoretical mathematics with practical applications, ensuring data security in the digital age. 🛡️

Profile 

ORCID

🎓 Education

Muhammad Sajjad holds a Doctor of Philosophy (Ph.D.) in Mathematics from Quaid-i-Azam University, Islamabad. He also completed his Master of Philosophy (M.Phil.) and Master of Science (M.Sc.) degrees from the same institution.

💼 Experience

He has significant experience in academia, having taught various mathematics courses at Quaid-i-Azam University, National University of Modern Languages, Bahria University, and FG Sir Syed College. He has also been involved in research conferences and international collaborations.

🔍 Research Interests

Sajjad’s research interests span across several areas including Mathematics, Electrical Engineering, Vector Algebra, Non-commutative Algebra, Number Theory, Coding Theory, Channel Coding, and Cryptography.

🏆 Awards

He has received numerous awards and scholarships throughout his academic journey, including the International Research Award on Cybersecurity and Cryptography and being a finalist for PakCrypto by the National Centre for Cyber Security (NCCS).

📚 Publications

Sajjad, M., Shah, T., Haq, T.U., Almutairi, B., & Xin, Q., “SPN based RGB Image Encryption over Gaussian Integers,” Heliyon, vol. 10, 2024. Link (Cited by: 0)

Sajjad, M., & Shah, T., “Decoding of cyclic codes over quaternion integers by modified Berlekamp–Massey algorithm,” Computational and Applied Mathematics, 43(2), 2024. Link (Cited by: 0)

Sajjad, M., Shah, T., Alsaud, H., & Alammari, M., “Designing pair of nonlinear components of a block cipher over quaternion integers,” AIMS Mathematics, vol. 8, 2023. Link (Cited by: 0)

Sajjad, M., Shah, T., Xin, Q., & Almutairi B., “Eisenstein field BCH codes constructions and decoding,” AIMS Mathematics, vol. 8. Link (Cited by: 0)

Sajjad, M., Shah, T., Alammari, M., & Alsaud, H., “Construction and Decoding of BCH-Codes Over the Gaussian Field,” IEEE Access, vol. 11, 2023. Link (Cited by: 0)

Yi Tang | Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Yi Tang | Engineering | Best Researcher Award

Lecturer, Yantai University, China

Yi Tang is a Lecturer in the School of Electromechanical and Automotive Engineering at Yantai University, China. With a Doctor of Engineering degree, his expertise lies in Vehicle Engineering, particularly in the sub-division of Antenna Array.

Profile

Scopus

Education 📚

Yi Tang earned his B.S. and M.S. degrees in mechanical engineering from Yantai University, followed by a Ph.D. from the School of Automotive Engineering at Dalian University of Technology.

Experience 🛠️

Yi Tang has been contributing to academia as a Lecturer at Yantai University since May 2024, focusing on research in design optimization within various fields of Vehicle Engineering.

Research Interests 🔬

Yi Tang’s research interests encompass design optimization in MIMO systems, phased arrays, and metamaterials, particularly emphasizing on antenna array technologies.

Awards 🏆

Yi Tang has received the Best Researcher Award for his significant contributions to the field of Vehicle Engineering, particularly in antenna array design optimization.

Publications Top Notes

Non-uniform strip-array decoupling structure of the MIMO antenna-arrays for the DSRC application (2023) – cited 1 time

Gradient-based optimization method for interference suppression of linear arrays by the amplitude-only and phase-only control (2022) – cited 2 times

Pattern synthesis considering mutual coupling for peak sidelobe suppression and null controlling via element rotation and phase optimization (2022) – cited 5 times

Shape optimization method for curved-groove DGS of MIMO antenna-array based on the trigonometric function expansion (2021) – cited 3 times

Optimization method for pattern synthesis of sparse planar arrays considering mutual coupling and nonoverlapping constraint (2020) – cited 10 times