Early Academic Pursuits
Dr. Meng Wang embarked on his academic journey at Xidian University, earning a Bachelor of Science in Communication Engineering in 2004. He later pursued a Master of Engineering in Software Engineering from Xi’an Jiaotong University under the guidance of Prof. Xiaojun Wu in 2012. His passion for artificial intelligence and data science led him to complete his PhD in Computer Science at Xidian University in 2018, where he was mentored by Prof. Jiangtao Cui and Prof. Hui Li.
Professional Endeavors
Dr. Wang has had a progressive academic career at Xi’an Polytechnic University. He joined as an Assistant Professor in 2019 and quickly advanced to Associate Professor in 2023. His leadership capabilities were recognized, and he was appointed Deputy Dean of the School of Computer Science in 2024. Additionally, since 2020, he has been actively supervising Master’s students, guiding them in cutting-edge research areas.
Contributions and Research Focus
Dr. Wang’s research spans artificial intelligence, deep learning, time series analysis, and spatio-temporal big data. His work focuses on optimizing data mining and management techniques to enhance computational efficiency in large-scale systems. His contributions to intelligent scheduling, power load forecasting, and competitive location selection have led to significant advancements in AI-driven decision-making processes.
Impact and Influence
His research excellence has been acknowledged with numerous prestigious awards. Notably, he received the “Sa Shixuan” Best Paper Award at the 40th CCF National Database Conference in 2023, the Rising Star Award by ACM China in 2020, and the Best Paper Award Runner-Up at IEEE MDM 2019. He also earned the Natural Science Award of Shaanxi Province (Second Prize) in 2020 for his impactful contributions to AI-driven data analysis.
Academic Cites
Dr. Wang has an extensive publication record in top-tier journals and conferences, including IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Intelligent Systems and Technology (TIST), and Bioinformatics. His research has been widely cited, underscoring the influence of his work in AI, data science, and computational intelligence. His recent contributions include innovative methods for electricity theft detection, time series forecasting, and multi-view graph neural networks for biomedical applications.
Technical Skills and Expertise
With a strong technical foundation, Dr. Wang specializes in AI model development, deep learning frameworks, spatio-temporal data processing, and intelligent scheduling algorithms. His expertise also extends to data-driven optimization techniques, predictive analytics, and big data management, making his research highly applicable to real-world AI challenges.
Teaching and Mentorship
Dr. Wang is committed to academic excellence, having received multiple teaching awards, including the “Light of Textile” Higher Education and Teaching Achievement Award (First Prize) in 2023. He also won the Excellence Award at the Shaanxi Undergraduate Colleges’ Classroom Teaching Innovation Competition in 2022. His ability to integrate research with education has made a profound impact on his students and the broader academic community.
Legacy and Future Contributions
As a leading AI researcher, Dr. Wang continues to push the boundaries of artificial intelligence, big data, and predictive analytics. His ongoing research in power load forecasting, tariff prediction, and intelligent scheduling is poised to revolutionize energy and data management industries. Through his leadership at Xi’an Polytechnic University, he aims to cultivate the next generation of AI experts, driving technological advancements for a smarter and more data-driven future.