Mr. Jiahao Nie | Image Processing | Best Researcher Award

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Hangzhou Dianzi University, China

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๐Ÿ“Œย Summary

Mr. Jiahao Nie is a dedicated Ph.D. candidate at Hangzhou Dianzi University (HDU) and Hanyang University (HYU), specializing in computer vision, 2D image processing, and 3D point cloud processing. Under the guidance of Prof. Zhiwei He and Assoc. Prof. Dong-Kyu Chae, he is actively engaged in cutting-edge research in autonomous driving and object tracking.

๐ŸŽ“ย Education

  • Ph.D. in Electronic Science and Technology (HDU, 2022-2025)
  • Joint Ph.D. in Computer Science (HYU, 2024-2025)
  • B.Eng. in Electronic Information Engineering (HDU, 2020-2022)

๐Ÿ”ฌย Research Interests

His research is primarily focused on computer vision, including 2D image processing, 3D point cloud processing, and object tracking for autonomous driving.

๐Ÿ†Honors & Awards

  • Ph.D. National Scholarship (Rank: 1/75)ย |ย Full Postgraduate Scholarship (2020-2025)
  • First-Class Academic Scholarship (Top 3%)ย |ย National Scholarship for Studying Abroad (2023)

๐Ÿ“‘ Academic Contributions

  • Reviewer for ICCV, CVPR, ICLR, ICML, ECCV, NeurIPS, AAAI, ACM MM
  • Presenter at ICLR (2024), IJCAI (2023), AAAI (2023)

 

Publications

TTSNet: state-of-charge estimation of Li-ion battery in electrical vehicles with temporal transformer-based sequence network

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2024

A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis

  • Authors: Xiaorong Zheng, Jiahao Nie, Zhiwei He, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Reliability Engineering & System Safety
  • Year: 2024

A progressive multi-source domain adaptation method for bearing fault diagnosis

  • Authors: Xiaorong Zheng, Zhiwei He, Jiahao Nie, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Applied Acoustics
  • Year: 2024

Dual-task learning for joint state-of-charge and state-of-energy estimation of lithium-ion battery in electric vehicle

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Zhi Li, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Transportation Electrification
  • Year: 2024

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

  • Authors: Anqi Xu, Jiahao Nie*, Zhiwei He, Xudong Lv
  • Journal: IEEE Robotics and Automation Letters
  • Year: 2024

Dr. Hua Ren | Image Processing | Best Researcher Award

Dr. Hua Ren | Image Processing | Best Researcher Award

Doctorate at Henan Normal University, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

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๐Ÿ“Œย Summary

Dr. Hua Ren is a dedicated researcher and lecturer specializing in image security, encryption, and data hiding. His expertise lies in visually secure encryption and authentication technologies, contributing significantly to high-impact journals and research projects in these domains.

๐ŸŽ“ย Education

  • Ph.D.ย in Computer Science and Technology, Beijing University of Posts and Telecommunications (2019-2023)
  • Masterโ€™sย in Computer Science and Technology, Henan Normal University (2016-2019)
  • Bachelorโ€™sย in Computer Science and Technology, Henan Normal University (2012-2016)

๐Ÿ’ผย Work & Research Experience

  • Lecturer (2023-Present)ย โ€“ School of Computer and Information Engineering, Henan Normal University
  • Principal Investigatorย โ€“ Henan Science and Technology Research Project on image reversible authentication (2025-2026)

๐Ÿ”ฌย Research Interests

  • Image Security & Encryption
  • Reversible Data Hiding
  • Visual Authentication & Cryptography
  • Digital Image Processing

 

Publications

A novel reversible data hiding method in encrypted images using efficient parametric binary tree labeling

  • Authors: Hua Ren, Zhen Yue, Feng Gu, Ming Li, Tongtong Chen, Guangrong Bai
  • Journal: Knowledge-Based Systems
  • Year: 2024

Multi-scale attention context-aware network for detection and localization of image splicing

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Jiwei Zhang, Hua Ren, Xiaojie Zhao
  • Journal: Applied Intelligence
  • Year: 2023

ERINet: Efficient and robust identification network for image copy-move forgery detection and localization

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Keyang Xiong, Hua Ren
  • Journal: Applied Intelligence
  • Year: 2023

ESRNet: Efficient Search and Recognition Network for Image Manipulation Detection

  • Authors: Ruyong Ren, Shaozhang Niu, Hua Ren, Shubin Zhang, Tengyue Han, Xiaohai Tong
  • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications
  • Year: 2022

Joint encryption and authentication in hybrid domains with hidden double random-phase encoding

  • Authors: Hua Ren, Shaozhang Niu
  • Journal: Multimedia Tools and Applications
  • Year: 2022

Prof. Nema Salem | Image Processing | Best Researcher Award

Prof. Nema Salem | Image Processing | Best Researcher Award

Professor at Effat University, Saudi Arabia

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๐ŸŽ“ Early Academic Pursuits

Prof. Nema Salemโ€™s academic journey began with a strong foundation in engineering and medical imaging. She earned her B.Sc. with honors in 1987 and later obtained her M.Sc. in 1990 from Alexandria University (AU), Egypt, specializing in mitral valve diagnosis. She further pursued her Ph.D. in “Classification of Breast Tumors by Acutance Measure and Shape Factors” through a joint program between the University of Calgary, Canada, and AU in 1996. Her early research laid the groundwork for advancements in medical diagnostics, particularly in breast cancer detection, setting the stage for a distinguished academic and research career.

๐Ÿ† Professional Endeavors

Prof. Salemโ€™s professional trajectory spans multiple prestigious institutions. Since 1987, she has held progressive academic roles at AU, the Asian Institute of Technology (AIT), Hadramout University in Yemen, and Effat University in Saudi Arabia, where she has been an Assistant Professor since 2008. She has also served as the Chair of the Electrical and Computer Engineering Department at Effat University, contributing to curriculum development and accreditation processes such as NCAAA and ABET. Her leadership extends beyond academia, as she has organized international competitions like the IET GCC Robotics Challenge and the World Robot Olympiad, promoting innovation among young engineers.

๐Ÿ”ฌ Contributions and Research Focus

Prof. Salemโ€™s research portfolio is marked by interdisciplinary contributions in medical imaging, artificial intelligence, control systems, and renewable energy. She has pioneered AI-driven applications, including ECG analysis, skin lesion segmentation, and glaucoma detection, enhancing the accuracy of medical diagnostics. Additionally, she has played a crucial role in renewable energy advancements, optimizing solar power generation and thermoelectric systems. Her expertise in robotics and control engineering is evident in her work on PID and LQR controllers for performance enhancement in automation and energy-efficient designs.

๐ŸŒ Impact and Influence

Prof. Salemโ€™s influence extends beyond her research, as she actively mentors students, supervises masterโ€™s and Ph.D. theses, and collaborates with international researchers. Her dedication to fostering innovation has resulted in students winning prestigious awards, including a bronze medal at the 49th International Exhibition in Geneva. She has also contributed significantly to the academic community through her editorial roles and peer-reviewing for high-impact journals. Her recognition includes the Queen Effat Award for Teaching Excellence (2019-2020, 2022-2023) and a UK Fellowship for teaching excellence, affirming her commitment to quality education and research.

๐Ÿ“š Academic Citations and Publications

Prof. Salemโ€™s research is well-documented in reputable journals and conferences. She has published extensively in IEEE Transactions on Medical Imaging, PLOS ONE, Sensors, and IEEE Access, with a strong presence in high-impact publications. Her work is widely cited, reflecting its significance in medical imaging, artificial intelligence, and renewable energy. Her research contributions are accessible via Google Scholar and the AD Scientific Index 2024, demonstrating her academic reach and influence.

๐Ÿ’ก Technical Skills and Expertise

Prof. Salem possesses a diverse technical skill set, encompassing AI-driven signal and image processing, robotics, logic design, and renewable energy optimization. She has expertise in developing machine learning models for medical diagnostics, implementing control strategies for automation, and designing CMOS-based circuits. Her ability to integrate interdisciplinary approaches has made her a sought-after researcher in multiple domains, from biomedical engineering to energy-efficient systems.

๐Ÿ“– Teaching and Mentorship

With over three decades of teaching experience, Prof. Salem has played a pivotal role in shaping the next generation of engineers. She has designed and delivered courses in signal processing, artificial intelligence, control systems, and electronics. Her student-centered approach has been recognized through multiple teaching awards. She actively engages in student mentorship, encouraging innovative research projects and guiding them to success in international competitions and academic publishing.

๐Ÿ”ฎ Legacy and Future Contributions

Prof. Salemโ€™s legacy is defined by her relentless pursuit of innovation and knowledge dissemination. Her research continues to push the boundaries of technology, particularly in AI-driven healthcare and renewable energy systems. She remains committed to mentoring students, expanding research collaborations, and advancing engineering education. Through her leadership, she aims to drive impactful change in medical diagnostics, sustainable energy, and robotics, ensuring a lasting influence in academia and industry.

 

Publications

Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis

  • Authors: Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan
    Journal: Results in Engineering
    Year: 2025

Causal Speech Enhancement Using Dynamical-Weighted Loss and Attention Encoder-Decoder Recurrent Neural Network

  • Authors: Fahad Khalil Peracha, Abdullah M. Mutawa, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem
    Journal: PLOS ONE
    Year: 2023

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization

  • Authors: Abeer Mushtaq, Maria Mumtaz, Ali Raza, Nema Salem, Muhammad Naveed Yasir
    Journal: Sensors
    Year: 2022

Automated Diagnosis of Leukemia: A Comprehensive Review

  • Authors: Afshan Shah, Syed Saud Naqvi, Khuram Naveed, Nema Salem, Mohammad A. U. Khan, Khurram S. Alimgeer
    Journal: IEEE Access
    Year: 2021

DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images

  • Authors: Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, Mui-zzud-din
    Journal: PLOS ONE
    Year: 2021