Meihui Li | Information Entropy | Excellence in Research Award

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Dr. Meihui Li | Information Entropy | Excellence in Research Award

Yanshan University | China

Dr. Meihui Li is an interdisciplinary researcher whose work bridges music psychology, music therapy, neurorehabilitation, and human–machine interaction, with a strong emphasis on evidence-based intervention and experimental methods. With 7 published documents, 11 citations, and an h-index of 2, her research spans systematic reviews, psychophysiological experiments, and biomimetic design. She has contributed to high-impact journals including Biomimetics, Frontiers in Psychology, Frontiers in Neurology, and PLOS ONE (SCI/SSCI Q1–Q2), covering topics such as piano music therapy for stroke rehabilitation, prosocial music cognition using ERP, sleep-related music therapy, and psychometric assessment in music populations. Her work also advances wearable and robotic exoskeleton systems for piano practice through multi-domain mapping and top-down process models. Dr. Li is a registered PROSPERO systematic reviewer and completed a doctoral dissertation focused on deliberate-practice-based teaching models in music education, highlighting motivation and performance state optimization.

Citation Metrics (Scopus)

12

9

6

3

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Citations
11

h-index
2

Documents
7

Citations

h-index

Documents


View Scopus Profile

Featured Publications

The Impact of Songs with Prosocial Lyrics on Implicit Cognition and Prosocial Behavior:
An Event-Related Brain Potentials Study
– Frontiers in Psychology (SSCI Q1), 2025 | Second Author

Meta-Narrative Review: The Impact of Music Therapy on Sleep and Future Research Directions
– Frontiers in Neurology (SCI Q2), 2024 | Co–First Author

S. Pourmohammad Azizi – Time series analysis – Best Researcher Award

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Pourmohammad Azizi – Time series analysis – Best Researcher Award

Mr. Pourmohammad Azizi distinguished academic and researcher in the field Time series analysis.

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🌐 Professional Profile

Educations📚📚📚

He is currently a Ph.D. candidate in Artificial Intelligence at the Department of Electrical Engineering and Computer Sciences at National Taiwan Ocean University in Taiwan, where he works on smart telecommunication. He earned his Master’s degree in Mathematics from Allameh Tabataba’i University in Tehran, graduating with a GPA of 17.69 out of 20 in 2018. Prior to that, he completed his Bachelor’s degree in Mathematics and Applications at the University of Mazandaran, achieving a GPA of 16.64 out of 20 in 2015. During his academic journey, he also participated in academic visits, including a visit to Lisbon University ISEG- Lisbon School of Economics and Management in 2017, and Guangzhou University in 2015.

Work Experience

He has accumulated significant work experience as an algorithm designer at a Fin-tech company in 2020 and 2021. Additionally, he has been actively involved in Forex trading since 2018. His teaching experience is extensive, having served as a teaching assistant at Allameh Tabataba’i University from 2016 to 2018, where he assisted in courses such as Calculus 1 and 2, Financial Engineering, Numerical Methods in Financial Mathematics, and Numerical Solutions of Stochastic Differential Equations. During the same period, he also taught MATLAB and PYTHON software at Allameh Tabataba’i University and The Petroleum University of Technology. Earlier, from 2012 to 2015, he was a teaching assistant at the University of Mazandaran, contributing to courses like Calculus 1 and 2, Graph Theory, Operations Research, and Programming. His teamwork experience includes serving as the chair of the Financial Mathematics Student Society at Allameh Tabataba’i University from 2016 to 2017, vice chair of the same society from 2015 to 2016, and chair of the Mathematics Student Society at the University of Mazandaran from 2013 to 2015.

 

Research 

He has also gained valuable research experience as a research assistant at Allameh Tabataba’i University from 2017 to 2018, working with Prof. Abdolsadeh Neisy. Additionally, he has participated in several workshops to further his knowledge and skills, including a workshop on inverse problems and big data in 2019, a workshop on machine learning in 2018, and a workshop on decision making in 2015.

 Awards & Honors

He has received several honors throughout his academic career. In 2022, he was awarded the Excellent Researcher Taiwan Government Scholarship (MOST). In 2017, he was recognized as the best master’s researcher at the Faculty of Mathematics. His academic excellence is further demonstrated by his achievement of earning the 37th rank in the mathematics master’s entrance exam and the 28th rank in the science engineering master’s entrance exam in 2015. Additionally, he earned the 2nd rank in the student competitions on Operations Research Olympiad at Semnan University in 2014.

📝🔬Publications📝🔬

Taqwa Alhadiddi – Transaportation Engineering- Best Researcher Award

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Taqwa Alhadiddi – Transportation Engineering

Asst. prof Dr. Taqwa Alhadiddi  distinguished academic and researcher in the field Transaportation Engineering. Dr.TaqwaI.Alhadidi is the assistant professor of the Intelligent Transportation Systems and Data Analytics in the Department of Civil and Environment Engineering at Al-Ahliyya Amman University(AAU). Prior joining AAU,Dr.Taqwa worked as a Research Assistant in the Center of Sustainable Mobility at Virginia Tech Transportation Institute from 2017 until she received her Ph.D in June 2020. From 2016-2017 Dr.Taqwa was a visiting graduate student at Illinois Institute Technology in Traffic simulation lab.Dr.Taqwa is an active member in different professional committees including ASCE, WTS. She is also an active reviewer in different journals.

🌐 Professional Profiles

Educations: 📚🎓

From August 2017 to June 2020, she pursued her Ph.D. in Civil and Environmental Engineering with a focus on Transportation and Infrastructure Systems, specializing in Traffic Engineering and Modeling at Virginia Tech in Blacksburg, Virginia. Her dissertation, titled “Modeling Transit Vehicle Travel Time Components for Use in Transit Applications,” showcased her dedication to advancing knowledge in the field. During this period, she undertook a range of main courses, including Traffic Characteristics and Flow, Applied Stochastic Processes, Traffic Signal Systems Control and Operations, Urban Computing and Design, and Data Analytics. Additionally, she completed a Graduate Certificate in Urban Computing from Virginia Tech, enhancing her expertise in areas such as Traffic Flow and Characteristics, Data Analytics, and Urban Computing.

Before her Ph.D., she earned her Master of Science degree in Civil and Environmental Engineering with a focus on Transportation Engineering from the University of Jordan in Amman from February 2013 to June 2015. Her thesis, “Unconventional Intersection Designs for Improving Traffic Operation Along Arterial Roads,” demonstrated her commitment to innovative solutions in transportation. During her master’s program, she delved into courses like Advanced Pavement Design, GIS, Transportation Planning, and Traffic Flow Theory.

Her academic journey began from September 2008 to August 2012 when she completed her Bachelor of Science degree in Highway and Bridges Engineering from the Faculty of Engineering Technology. This foundational period equipped her with essential knowledge and skills that laid the groundwork for her subsequent achievements in the field of Civil and Environmental Engineering.

 

ACADEMIC EXPERIENCE AND ADMINISTRATIVE
POSITIONS 

In the academic years of 2015-2016, she served as a full-time lecturer at Al-Ahliyya Amman University, where she played a pivotal role in the Department of Civil and Environmental Engineering. Her responsibilities encompassed teaching various undergraduate courses related to transportation engineering, covering aspects of planning, operation, and design. In addition to her teaching duties, she actively contributed to administrative tasks, including student advising and representing the department at the ABET committee. As a student advisor, she guided students through registration processes, assisted in creating study plans, and provided support during their post-graduation orientation. Her participation in the ABET committee offered her a valuable experience in academic accreditation, allowing her to contribute to the formulation of qualitative and quantitative measures necessary for ABET accreditation or other accreditation types.

Subsequently, from 2016 to 2017, she took on the role of a Graduate Visiting Student at the Illinois Institute of Technology. During this period, she played a key role in preparing the manuscript for the transportation asset management book authored by Zongzhi Li. Simultaneously, she conducted an extensive literature review across various transportation research areas. Additionally, she engaged in modeling Chicago transit trips using STOPS software and worked on modeling transit desert areas in specific Chicago regions, showcasing her multidimensional expertise.

Her academic journey continued from 2017 to 2020, where she served as a Graduate Research Assistant at the Virginia Tech Transportation Institute (VTTI) under Virginia Polytechnic and State University’s Civil and Environmental Engineering department. In this capacity, she contributed to cutting-edge research in transportation, further enhancing her skills and knowledge in the field.

 

Membership

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In her academic and professional journey, she has been an active member of various prestigious organizations, showcasing her commitment to the field of transportation engineering. Since 2017, she has been a member of the Institute of Transportation Engineers (ITE) and the American Society of Civil Engineers (ASCE). Her dedication to promoting diversity and women in the field is evident through her membership in Women In Transportation-Virginia Tech chapter (WTS) since 2019. Moreover, she has been actively involved in the transportation committee at the Jordanian Engineering Association (JEA) since 2015 and has held leadership roles, including participation in the youth civil engineering committee at JEA since 2015. Her contributions extend to her role as a member in the TRB Standing Committee on Traffic Flow Theory (TRB-AHB45) since 2012.

Notably, she has been an active peer reviewer for esteemed journals and committees, including the Journal of Public Transportation, Journal of Transportation Research Interdisciplinary Perspectives, Transportation Research Board’s Transit committee, and Intelligent Transportation Systems committee. Her commitment to the scholarly community reflects in her dedication to reviewing and evaluating research contributions since 2019.

In addition to her involvement in professional organizations, she has made significant contributions to academia. As a lecturer, she served as a guest lecturer with the Rab American Association of Engineers and Architects at the University of Illinois at Urbana-Champaign, delivering fundamental engineering sessions on November 19th, 2021. Furthermore, she has supervised multiple master’s theses, demonstrating her mentorship capabilities and commitment to advancing research in her field.

Her teaching portfolio spans a range of undergraduate and graduate courses, covering transportation engineering, public transportation engineering, pavement design and pavement lab, geometric design and railway, and senior graduation projects. In graduate studies, she has taught courses such as Analytical Techniques in Transportation Engineering and Traffic Simulation and Modeling. Her teaching responsibilities include not only delivering lectures but also overseeing grading, providing course projects, and evaluating overall course performance.

Her academic and professional journey showcases not only her expertise in transportation engineering and research but also her dedication to mentorship and education, contributing significantly to the advancement of her field.

 

Conference or Workshop Item

  • Alhindawi, R &Alhadidi.T (2024). Weather Conditions Using Bayesian Networks: A Scene-Based Approach with CARLA Simulation. Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London, Volume 4.
  • ALHADIDI, T. (2023). A Framework for Implementation Public-Private Partnership in Roads’ Maintenance and Operating Projects in Jordan. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 26, 760-769.
  • ALHADIDI, T., & ELHENAWEY, M. (2023). Modeling Crashes Severity Using Ensemble Techniques. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 26, 357-365.
  • Alhadidi,T and Shbeeb.L “ Predicting Cycle Length at Urban Signalized Roundabout Intersection using Machine Learning Models” presented in the 10th conference on scientific research in Jordan, November, 2021.
  • lhadidi, T and H.Rakha. Estimating Transit Vehicle Travel Time Components in the Vicinity of Bus Stops (2020). Presented in the 100thAnnual Meeting of the Transportation Research Board, Washington, D.C., USA.
  • Alhadidi, T., Elhenawy, M., & Rakha, H. (2019). Stochastic Modeling of Bus Passenger Boarding/Alighting Times. Presented at the 98thAnnual Meeting of the Transportation Research Board, Washington, D.C., USA, January 2019 (No. 19-02703).
  • Lina Shabeeb, Amer Hijazi, and Taqwa Hadidi. Roadway User’s Behavior & Implication of Safety (2014). Presented at Fourth Jordan international conference and exhibition for roads and transport.

 

 📚Top Noted Publication

Xin Li – Random Graph Models

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Dr. Xin Li  – Leading Researcher in Random Graph Models

 

Assist Prof Dr. Xin Li has held the position of Associate Professor in the School of Mechanical and Electrical Engineering at China University of Mining and Technology. Concurrently, since March 2023, he has also taken on the role of Postdoc Researcher at Zhejiang University and China University of Mining and Technology within the School of Mechanical Engineering. This dual academic engagement underscores his commitment to advancing research and contributing to the academic communities at both institutions.

Education📚

📚 Embarking on an academic journey, he pursued his passion for Mechanical Engineering at Qingdao University of Technology, earning a Bachelor of Arts degree from the School of Mechanical Engineering in the period spanning September 2012 to July 2016. Building upon this foundation, he delved deeper into the intricacies of the field at Hunan University, where he successfully completed his Ph.D. in Mechanical Engineering within the College of Mechanical and Vehicle Engineering from September 2016 to July 2022. This educational odyssey reflects his steadfast dedication to scholarly pursuits and the continual pursuit of knowledge. 🎓

 

Professional Profiles:

RESEARCH INTERESTS

Random Graph Models; Intelligent fault diagnosis; Machine learning; Complex systems🌞

EDITORIAL BOARD
Journal of Dynamics, Monitoring and Diagnostics
Frontiers in Mechanical Engineering

AWARDS

🏆 In recognition of his outstanding contributions to academia and research, he has been honored with a series of prestigious grants and awards. Notably, he secured the National Social Science Foundation Youth Project (62206298) for the period 2022-2025, demonstrating his prowess in the field. Further bolstering his research endeavors, he received support from the Fundamental Research Funds for the Central Universities (20230N1048) in 2023-2024. His commitment to advancing scientific knowledge is also evident through grants from the China Postdoctoral Science Foundation and the Postdoctoral Science Foundation of Zhejiang Province for the years 2023-2025. In addition, he has been recognized by the Natural Science Foundation of Jiangsu Province for the period 2023-2026, solidifying his position as a respected researcher. The accolades continue with the acknowledgment of his contributions to the academic community through the China University of Mining and Technology’s “Sailing Plan” for Young Teachers (102523236) in 2023-2024, as well as the Hunan Graduate Research Innovation Project (CX20200406) for the academic year 2021-2022. These accolades underscore his dedication and success in pushing the boundaries of knowledge in his field. 🌟

TEACHING EXPERIENCE

2023 Spring Engineering Measurement Technology
2022 Autumn Equipment health management and intelligent O&M (Graduate)

SELECTED PUBLICATIONS

Li X, Yang Y, Wu Z, et al. High-accuracy gearbox health state recognition based on graph sparse
random vector functional link network[J]. Reliability Engineering & System Safety, 2021:
108187.
Li X, Li S, Wei D, Si L, Yu K, Yan K. Dynamics Simulation-driven Fault Diagnosis of Rolling
Bearings Using Security Transfer Support Matrix Machine. Reliability Engineering & System
Safety. 2023:109882.
Li X, Cheng J, Shao H, et al. A Fusion CWSMM-based Framework for Rotating Machinery
Fault Diagnosis under Strong Interference and Imbalanced Case[J]. IEEE Transactions on
Industrial Informatics, 2021, 18(8): 5180-5189.
Li X, Shao H, Lu S, et al. Highly-efficient fault diagnosis of rotating machinery under timevarying speeds using LSISMM and small infrared thermal images[J]. IEEE Transactions on
Systems, Man and Cybernetics: Systems, 2022, 52(12): 7328-7340.

Symplectic geometry packet decomposition and its applications to gear fault diagnosis

J Cheng, Y Yang, X Li, J Cheng
Mechanical Systems and Signal Processing 174, 109096