Mr. Yu Lu | Data Collection Awards | Best Researcher Award

Mr. Yu Lu | Data Collection Awards | Best Researcher Award 

Mr. Yu Lu, Beijing Forestry University, China

Yu Lu is currently pursuing a Master’s degree in Electronic Information at the School of Information Science and Technology, Beijing Forestry University, P.R. China. His research interests span a variety of topics, including the application of wireless rechargeable sensor networks, ad hoc and sensor networks, as well as algorithm design and analysis. Yu’s work focuses on improving the efficiency and functionality of these networks, with a particular emphasis on optimizing energy management and data collection processes. His academic journey is marked by a keen interest in advancing the technologies that underpin modern communication systems and wireless networks.

Professional Profile:

SCOPUS

Suitability for the Best Researcher Award: Yu Lu

Yu Lu is currently pursuing a Master’s degree in Electronic Information at the School of Information Science and Technology, Beijing Forestry University, China. His research focuses on wireless rechargeable sensor networks, ad hoc and sensor networks, and the design and analysis of algorithms, all of which are highly relevant to contemporary advancements in the field of information science and technology.

Education:

  • Master’s Degree in Electronic Information
    • Institution: School of Information Science and Technology, Beijing Forestry University, P.R. China
    • Current Status: Pursuing his Master’s degree, with a focus on electronic information and related technologies. His research interests span wireless rechargeable sensor networks, ad hoc and sensor networks, and algorithm design and analysis.

Work Experience:

  • Yu Lu is currently a graduate student at the School of Information Science and Technology at Beijing Forestry University. While specific work experience details are not provided, his involvement in cutting-edge research on wireless rechargeable sensor networks, optimization algorithms for data collection in sensor networks, and applications in UAV and MUV technologies suggests a strong focus on both academic research and potential collaborations with industry or research institutes. His work aligns with advancements in sensor network optimization, UAV technology, and algorithm design.

Publication top Notes:

Spatiotemporal Optimization for Charging Scheduling in Wireless Rechargeable Sensor Networks

Optimization Algorithms for UAV-and-MUV Cooperative Data Collection in Wireless Sensor Networks

Construction and application of a tree knowledge graph

Mr. CHENGYONG JIANG | Machine Learning Award | Best Researcher Award

Mr. CHENGYONG JIANG | Machine Learning Award | Best Researcher Award 

Mr. CHENGYONG JIANG, Fudan university, China

Chengyong Jiang is a promising neurobiology Ph.D. candidate at Fudan University, China, with an outstanding academic record and significant research experience. He earned his Master’s degree in Biotechnology from Minzu University of China, graduating in the top 5% of his class, and is currently pursuing his doctoral studies at Fudan University, where he is ranked in the top 10% of his cohort. Jiang’s research focuses on the regulation of sleep and eye movement by cholinergic neurons in the oculomotor nerve nucleus. Jiang has demonstrated a strong commitment to academic and practical excellence through various roles, including as a teaching assistant at Beijing Foreign Studies University and a high school biology tutor at Hangzhou Zhipeng Network Technology Co., Ltd. His involvement in innovative projects, such as studying the therapeutic effects of Polygonum multiflorum on stress-induced depression and leading a social practice team analyzing undergraduate education in biology, highlights his leadership and research capabilities.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Chengyong Jiang has demonstrated a strong academic background and research capability in neurobiology and biotechnology. His work, including his master’s research on stress-induced depression and his ongoing doctoral research on sleep and eye movement regulation, reflects a deep understanding of complex biological processes. His publications in reputable journals like Frontiers in Neuroscience and Advanced Science underscore his ability to conduct impactful and high-quality research.

Education

Fudan University, Shanghai, China
Neurobiology Doctor
September 2020 – June 2026
Top 10%

Minzu University of China, Beijing, China
Master of Biotechnology
September 2015 – June 2019
Top 5%

Work Experience

Institutes of Brain Science, Fudan University
Researcher
September 2020 – Present

  • Conducting research on “Regulation of sleep and eye movement by cholinergic neurons in the nucleus of the oculomotor nerve.”

Hangzhou Zhipeng Network Technology Co., Ltd., Hangzhou, China
High School Biology Tutor (Part-time)
September 2017

  • Provided online tutoring in biology to middle and high school students.

Beijing Foreign Studies University, Beijing, China
Teaching Assistant
July 2017 – September 2017

  • Participated in and organized the “E PLUS Beiwai Yijia Study Tour” summer camp, served as homeroom teacher, and assisted in English teaching activities.

Publication top Notes:

MLS-Net: An Automatic Sleep Stage Classifier Utilizing Multimodal Physiological Signals in Mice

Exosomes Derived from M2 Microglial Cells Modulated by 1070-nm Light Improve Cognition in an Alzheimer’s Disease Mouse Model.

Tracking Eye Movements During Sleep in Mice.

2,3,5,4′-Tetrahydroxystilbene-2-O-beta-D-glucoside Reverses Stress-Induced Depression via Inflammatory and Oxidative Stress Pathways.