Prof. Erping Zhao | Neural Networks | Best Researcher Award

Master, Xizang Minzu University, China.

Erping Zhao, originally from Binxian County in Shaanxi Province, is a highly respected professor at Xizang Minzu University, where he also mentors master’s students. With a career rooted in academia and research, Dr. Zhao has emerged as a distinguished figure in the field of computer science. After earning his master’s degree in software engineering from Xidian University in 2006, he embarked on a teaching journey that has spanned nearly two decades. His academic pursuits have taken him to China Renmin University as a visiting scholar in Big Data and Knowledge Graphs. Currently, he holds several influential positions, including outstanding member of the China Computer Association, executive member of the Information System Committee, and expert evaluator in the national graduate education monitoring database.

Publication Profile

ORCID

🎓 Education Background

Dr. Zhao completed his B.S. in Computer Application from Xidian University in 1999. He later returned to the same university and earned his M.S. in Software Engineering in April 2006. His passion for continuous learning led him to further expand his research capabilities as a visiting scholar in 2016 at China Renmin University, focusing on Big Data and Knowledge Graphs.

💼 Professional Experience

Beginning his career in the industry, Erping Zhao worked at Dang Tang Telecom Co., Ltd. from 1999 to 2003. Transitioning into academia, he joined the College of Information Engineering at Xizang Minzu University in June 2006. Over the years, he has risen through the ranks to become a professor, having led multiple research projects funded by both provincial and national bodies. His leadership has been instrumental in the successful completion of Natural Science Foundation projects and key technology initiatives for Tibet.

🏆 Awards and Honors

Throughout his distinguished career, Dr. Zhao has received numerous accolades. These include the Third Prize in the Tibet Sub-Competition of the 2024 “Data Elements ×” Competition, the Xizang Autonomous Region Teaching Achievement Award, and the Xianyang Excellent Academic Paper Award. These honors reflect his commitment to both academic excellence and innovation in applied research.

🔬 Research Focus

Dr. Zhao’s research interests lie in the rapidly advancing domains of Natural Language Processing, Knowledge Graphs, Deep Learning, Intelligent Q&A and Recommendation Systems, and Large Language Models. He has made significant contributions in integrating big data analysis with knowledge representation, and his publications reflect a blend of theory and real-world applications.

🔚 Conclusion

In summary, Professor Erping Zhao stands out as a dedicated academician and accomplished researcher with profound contributions to artificial intelligence and computer science. His blend of academic insight, industrial experience, and scholarly recognition positions him as a thought leader in his field.

📚 Top Publications

A multi-head attention-based bidirectional gated recurrent unit and multilayer perceptron for relation extraction model
2025 — Engineering Applications of Artificial Intelligence
Cited by: 7 articles
Aspect-Level Sentiment Analysis Based on Vector Projection and Adversarial Contrastive Learning
2025 — Expert Systems with Applications
Cited by: 4 articles
A knowledge graph completion model based on weighted fusion description information and transform of the dimension and the scale
2025 — Applied Intelligence
Cited by: 3 articles
Multi-Level Attention Based Coreference Resolution With Gated Recurrent Unit and Convolutional Neural Networks
2023 — IEEE Access
Cited by: 11 articles
A Knowledge Graph Completion Method Based on Fusing Association Information
2022 — IEEE Access
Cited by: 18 articles

Ms. Sara Tehsin | Deep learning | Best Researcher Award

PhD Student, National University of Sciences and Technology, Islamabad, Pakistan

Sara Tehsin is a motivated and results-driven professional with over ten years of experience in Image Processing and Machine Learning. As an Engineering Lecturer at HITEC University in Taxila, Pakistan, she excels in delivering high-quality educational experiences and has a proven track record of producing outstanding results through her strong work ethic, adaptability, and effective communication skills. She is passionate about academic development and seeks opportunities to contribute her expertise while furthering her professional growth. 📚💻

Education

Sara Tehsin is currently pursuing a PhD in Computer Engineering at the National University of Sciences and Technology (NUST), Islamabad, where she has achieved a remarkable GPA of 3.83/4.00. Her research focuses on Digital Forensics, Deep Learning, and Digital Image Processing. She holds a Master’s degree in Computer Engineering from NUST, where she graduated with a GPA of 3.7/4.0, and a Bachelor’s degree from The Islamia University of Bahawalpur, with a GPA of 3.36/4.00. 🎓🌟

Experience

Sara has extensive teaching experience, currently serving as an Engineering Lecturer at HITEC University since September 2019, where she develops engaging curriculum and delivers lectures aligned with international standards. Previously, she was a Computer Science Lecturer at Sharif College of Engineering and Technology, and she also served as a Teaching Assistant at NUST and a Lab Engineer at Foundation University. Her roles have encompassed curriculum development, practical instruction, and student support in various computer science subjects. 👩‍🏫🔧

Research Interests

Sara’s research interests encompass Digital Forensics, Deep Learning, Digital Image Processing, and Machine Learning. She focuses on developing innovative solutions for image recognition and forgery detection, contributing significantly to the fields of computer vision and machine learning. Her work aims to enhance the accuracy and efficiency of image processing systems. 🧠🔍