Zhiying Mu| Neural Networks | Best Researcher Award

Dr. Zhiying Mu| Neural Networks
|Best Researcher Award

Dr . Zhiying Mu  Northwestern Polytechnical University, China .

Zhiying Mu, a Ph.D. candidate in Cyberspace Security at Northwestern Polytechnical University, is a distinguished young scholar dedicated to AI safety and intelligent system security. With a rigorous academic foundation and cross-disciplinary insight from her mathematics background at the University of Connecticut and the University of Nebraska–Lincoln, she has contributed to multiple national-level research projects, including the “New Generation Artificial Intelligence” initiative. Her publications in top-tier journals like IEEE IoT Journal and Neural Processing Letters demonstrate high academic impact. She leads multiple research and data-driven modeling projects with outstanding results. Her innovative mindset, strong leadership, and publication record make her an exceptional candidate for the Best Researcher Award.


🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award

 

Zhiying Mu, a Ph.D. candidate in Cyberspace Security at Northwestern Polytechnical University, is a distinguished young scholar dedicated to AI safety and intelligent system security. With a rigorous academic foundation and cross-disciplinary insight from her mathematics background at the University of Connecticut and the University of Nebraska–Lincoln, she has contributed to multiple national-level research projects, including the “New Generation Artificial Intelligence” initiative. Her publications in top-tier journals like IEEE IoT Journal and Neural Processing Letters demonstrate high academic impact. She leads multiple research and data-driven modeling projects with outstanding results. Her innovative mindset, strong leadership, and publication record make her an exceptional candidate for the Best Researcher Award.

🎓 Education 

Zhiying Mu earned her Ph.D. in Cyberspace Security (2021–2025) from Northwestern Polytechnical University, under the supervision of Academician He Dequan. Her curriculum includes machine learning, optimization, complex networks, and academic ethics. She actively contributed to major national and industrial research projects related to AI safety and power systems. She previously earned a Master’s degree in Mathematics from the University of Connecticut (2017–2019), and a Bachelor’s degree in Mathematics from the University of Nebraska–Lincoln (2013–2017). Her academic performance has been consistently excellent, with a GPA of 3.8/4.0 during her Ph.D. Her multidisciplinary training bridges cybersecurity and data science, laying a robust foundation for her research excellence and interdisciplinary innovation.

🏢 Work Experience 

Zhiying Mu has led and participated in various high-impact research projects involving AI safety, network attack modeling, and climate risk forecasting. Notable projects include storm damage prediction using regression models, ACI index modeling via time-series analysis, and optimal strategy evaluation in Tic-Tac-Toe using generalized linear models. She has also organized institutional reading programs, promoting interdisciplinary knowledge sharing. Her responsibilities typically involve end-to-end project management: problem formulation, data collection and preprocessing, statistical modeling, visualization, and outcome documentation. She is proficient in R and Python and applies advanced analytics and machine learning techniques. Her blend of theoretical depth and practical implementation reflects a versatile and impactful research profile in both academic and applied contexts.

🏅 Awards and Honors 

Zhiying Mu has received significant recognition for her research and academic contributions. She was the top borrower of the year at her university library, reflecting her deep engagement with academic literature. She has been entrusted with leadership roles in national projects funded under China’s “New Generation Artificial Intelligence” program and major horizontal projects with the State Grid Corporation of China. Her peer-reviewed publications in top SCI-indexed journals such as IEEE IoT Journal, Neurocomputing, and Neural Processing Letters highlight her academic excellence. She has also served as a project lead in multiple interdisciplinary modeling initiatives. Her academic and extracurricular leadership underscores her status as an emerging thought leader in AI security and intelligent systems.

🔬 Research Focus 

Zhiying Mu’s research centers on artificial intelligence security, multi-task learning, risk modeling, and network attack analysis. She investigates adversarial learning techniques, identity-preserving dialogue generation, and neural machine translation enhancement using syntactic features. Her work integrates mathematical modeling, machine learning, and cybersecurity to address challenges in intelligent power systems, social network robustness, and data-driven decision-making. She has explored both black-box and white-box vulnerabilities in AI systems and proposed defense mechanisms with theoretical grounding. Her interdisciplinary focus also includes time-series forecasting for insurance risk and strategic modeling in game theory. She actively contributes to national AI safety platforms and is committed to advancing secure, interpretable, and reliable AI technologies for critical infrastructures.

📊 Publication Top Notes:

Prompt-enhanced Neural Machine Translation with POS Tags

Authors:
Mu, Zhiying; Lin, Shengchuan; Guo, Sensen; Yu, Shanqing; Gao, Dehong

Journal:
Neurocomputing, 2025

Citations:
0 (as of now)

Hulugirgesh Degefu Weldekirstos | Chemistry | Best Researcher Award

Dr. Hulugirgesh Degefu Weldekirstos | Chemistry | Best Researcher Award

Debre Brehan University, Ethiopia

👨‍🎓Profiles

🌱 Early Academic Pursuits

Hulugirgesh Degefu Weldekirstos began her academic journey with an earnest focus on chemistry, earning significant milestones early in her career. A recipient of the Female Scholarship under a collaboration between Addis Ababa University and SIDA in 2011, she demonstrated a passion for advancing her education and contributing to science. Her Taiwan International Graduate Program (TIGP) scholarship in 2014 further underscores her commitment to international academic excellence.

🧪 Professional Endeavors

Currently, Hulugirgesh serves as an Associate Professor at Debre Berhan University, Ethiopia, where she leads research initiatives, mentors students, and advises staff. She is actively involved in academic development, combining her expertise in physical chemistry with her leadership abilities. Before her promotion, Hulugirgesh made significant contributions as an Assistant Professor. Her efforts as a senior lecturer, science club seminar organizer, and editorial board member showcased her multifaceted role in academia. At the Institute of Chemistry, Academia Sinica, Taiwan, she worked as a postdoctoral fellow, mentoring MSc students and contributing to advanced research projects. At Dilla University, Ethiopia, Hulugirgesh taught physical chemistry courses and participated actively as a Department Council Member.

Contributions and Research Focus

Hulugirgesh has dedicated her career to exploring critical aspects of physical chemistry. Her research has been instrumental in advancing the understanding of chemical processes, contributing to scientific publications, and supporting the development of innovative solutions. Her involvement in various roles—ranging from mentoring graduate students to serving on editorial boards—has amplified the impact of her research. She has also been recognized for organizing seminars to foster scientific discussions among peers and students.

🌍 Impact and Influence

Hulugirgesh's research has had a significant influence on the field of physical chemistry, as reflected in her active presence on platforms like ResearchGate and Google Scholar. Her publications have garnered considerable citations, showcasing the relevance and reach of her scientific contributions.

📚 Academic Citations

With a growing body of research work, Hulugirgesh has established a strong academic presence. Her work is widely referenced, indicating her role as a thought leader in her field.

🛠️ Technical Skills

Hulugirgesh possesses advanced skills in experimental and theoretical physical chemistry. Her technical proficiency, combined with her ability to communicate complex scientific concepts, has made her a valuable mentor and researcher.

👩‍🏫 Teaching Experience

As a seasoned educator, Hulugirgesh has taught a range of physical chemistry courses and guided numerous students through their academic journeys. Her role as a mentor and advisor has been pivotal in shaping future scientists.

🌟 Legacy and Future Contributions

Hulugirgesh is committed to continuing her contributions to chemistry and academia. Her vision includes fostering research that addresses real-world challenges and mentoring the next generation of scientists. By building on her impressive legacy, she aims to leave an enduring impact on the global scientific community.

📖Notable Publications

Lignin modified glassy carbon electrode for the electrochemical determination of histamine in human urine and wine samples

Authors: H Degefu, M Amare, M Tessema, S Admassie
Journal: Electrochimica Acta
Year: 2014

Surfactant-assisted synthesis of NiO-ZnO and NiO-CuO nanocomposites for enhanced photocatalytic degradation of methylene blue under UV light irradiation

Authors: HD Weldekirstos, B Habtewold, DM Kabtamu
Journal: Frontiers in Materials
Year: 2022

Structural engineering of organic D–a− π–A dyes incorporated with a dibutyl-fluorene moiety for high-performance dye-sensitized solar cells

Authors: GZ Wubie, MN Lu, MA Desta, HD Weldekirstos, MM Lee, WT Wu, SR Li, ...
Journal: ACS Applied Materials & Interfaces
Year: 2021

Enhanced photocatalytic degradation of methylene blue dye using eco-friendly synthesized rGO@ ZnO nanocomposites

Authors: A Negash, S Mohammed, HD Weldekirstos, AD Ambaye, M Gashu
Journal: Scientific Reports
Year: 2023

Enhanced Photocatalytic Degradation of Methylene Blue Dye Using Fascily synthesized g-C3N4/CoFe2O4 Composite Under Sun Light Irradiation

Authors: HD Weldekirstos, T Mengist, N Belachew, ML Mekonnen
Journal: Results in Chemistry
Year: 2024