Fardin Noori – Topological Networks – Graph Analytics Pioneer Award

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Mr. Fardin Noori distinguished academic and researcher in the field  Topological Networks.  He has accumulated valuable teaching experiences, primarily within the realm of Electrical Engineering in the Oil, Gas, and Energy Industries. From August 2020 to February 2023, he played a pivotal role in instructing newly graduated trainees through an intensive course at Tarh O Palayesh Engineering Company in Tehran, Iran. In this capacity, he imparted essential knowledge and practical skills relevant to the industry, contributing to the professional development of aspiring engineers. Additionally, in February 2020, he facilitated a course focused on Solar Cells and Modules Production at the same institution. Through these teaching engagements, he has demonstrated his commitment to knowledge dissemination and nurturing the next generation of industry professionals.

🌐 Professional Profiles

Educations📚📚📚

He pursued his education with a focus on Electrical Engineering, specializing in Power Systems. This journey commenced with his Bachelor of Science degree at the Electrical Engineering Department of Shahid Rajaee University in Tehran, Iran, where he achieved a commendable GPA of 15.82/20 over the duration of four years, from September 2010 to September 2014. Building upon this foundation, he furthered his academic pursuits by attaining a Master of Science degree in Electrical Engineering – Power Systems from Shahid Beheshti University, also located in Tehran, Iran. During this advanced program, spanning from September 2015 to February 2018, he demonstrated his commitment to excellence with a GPA of 14.63/20. His dedication to his field was evident even during his earlier academic years, as reflected in his impressive GPA of 19.27/20 during his High School and Pre-University Diploma studies from September 2006 to September 2010, with a focus on Mathematics and Physics. Throughout his educational journey, he exhibited a strong aptitude for his chosen field, laying a solid foundation for his future endeavors in Electrical Engineering.

Research Interest

His research interests encompass a diverse array of topics within the realm of Electrical Engineering. With a keen focus on advancing the field, he is particularly drawn to exploring the intricacies of Microgrid and Smart Grid technologies, recognizing their potential to revolutionize energy distribution systems. Delving into the complexities of the Electricity Market, he seeks to unravel the dynamics shaping its evolution and impact on energy accessibility and affordability. His commitment to sustainability is evident in his pursuit of understanding Renewable Energy Integration strategies, aiming to optimize their utilization and minimize reliance on traditional energy sources. Additionally, he is intrigued by the challenges posed by Uncertainty Modeling, endeavoring to develop robust frameworks to address unpredictabilities in energy systems. Furthermore, his interests extend to Energy Management Systems, where he explores innovative approaches to enhance efficiency and reliability in energy consumption. Finally, he is captivated by the possibilities presented by Energy Storage Systems, recognizing their pivotal role in facilitating the transition towards a more resilient and sustainable energy landscape. Through his research pursuits, he aspires to contribute meaningfully to the advancement of these critical areas within Electrical Engineering.

🏆🏆HONORS AND AWARDS🏆🏆

He has consistently demonstrated exceptional academic prowess and performance, earning recognition at various levels of education. Notably, in 2015, he achieved an outstanding rank of 187th in the National-Wide University Entrance Exam for Master’s Degree in Electrical Engineering, showcasing his aptitude and dedication to his field of study. His academic excellence was further underscored in 2010 when he distinguished himself within the top 2 percent nationwide in the Mathematics and Physics University Entrance Exam for Bachelor’s Degree. This remarkable achievement, surpassing over 320,000 participants, reflects his exemplary command of the subject matter and his ability to excel in competitive academic environments. Moreover, throughout his high school and pre-university years from 2006 to 2010, he consistently ranked among the top students, earning recognition for his academic achievements and dedication to learning. His consistent track record of academic excellence speaks volumes about his commitment to intellectual growth and his innate talent in the field of mathematics and physics.

WORK EXPERIENCE 

He brings a wealth of practical experience to his professional portfolio, having held various roles within the engineering domain. Commencing his career journey as a Power System Engineering Intern at Sheikh Baha’i High Voltage Substation in Tehran, Iran, he laid the groundwork for his future endeavors. His career trajectory led him to assume roles of increasing responsibility and expertise at Tarh O Palayesh Engineering Company in Tehran, Iran. Here, he demonstrated his leadership abilities as a Project Manager, overseeing the Asalouyeh Operational Base Solar Power Plant Project from December 2021 to June 2023. Prior to this, he served as a Project Section Leader of Overhead Transmission Line Discipline, managing tasks related to integrated environment studies and engineering design for the Sohrab Oil Field Development Project.

His tenure also saw him contribute as a Renewable Engineer, conducting feasibility studies for renewable energy utilization in the Andisheh New Town Project. Additionally, he held the position of Deputy Head of Electrical Discipline, showcasing his strategic acumen and organizational skills. His role as an Electrical Engineer and Designer involved spearheading critical projects such as the South Pars Gas Company Refineries Safety Systems Upgrading Project and the Kish Gas Field Development Project. Throughout his career, he has exhibited a strong commitment to excellence, innovation, and sustainability, contributing significantly to the advancement of the engineering industry in Iran.

 

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Changwei Wu – Network Properties- Best Researcher Award

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Changwei  Wu – Network Properties

Prof.  Changwei W.Wu distinguished academic and researcher in the field Network Properties.  Changwei W. Wu, a Professor at the Graduate Institute of Mind, Brain, and Consciousness at Taipei Medical University – Shuang-Ho campus in New Taipei, Taiwan, is also affiliated with the Research Center of Sleep Medicine at Taipei Medical University Hospital. He specializes in Mindfulness-based Interventions (MBI) and conducts research on simultaneous EEG-fMRI for sleep neuroimaging. Additionally, he is proficient in medical image and signal processing.

 

🌐 Professional Profiles

Educations📚📚📚

He  holds a Ph.D. in Electrical Engineering from National Taiwan University, Taipei, Taiwan, awarded in January 2009. His doctoral dissertation, titled “Biophysical Investigations and Developments of Novel Functional MRI Techniques,” was supervised by Jyh-Horng Chen, Ph.D., and Ho-Ling Liu, Ph.D. During his doctoral studies, he also served as a Predoctoral Visiting Fellow at the Neuroimaging Branch of the National Institute on Drug Abuse, National Institutes of Health (NIDA/NIH), in Baltimore, MD, from March 2006 to April 2008, under the supervision of Dr. Yihong Yang. Dr. Wu obtained his B.Eng. in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 2001.

 

Academic Positions:

Dr. Changwei W. Wu has held various academic positions, demonstrating a strong commitment to research and teaching in the field of neuroscience and related disciplines:

  • Professor, Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan (Feb 2021 – Present)
  • Associate Professor, Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan (Aug 2019 – Jan 2021)
  • Associate Professor, Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan (Aug 2016 – Jul 2019)
  • Adjunct Associate Professor, Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan (Sep 2016 – Jul 2019)
  • Adjunct Associate Professor, Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan (Aug 2015 – Jul 2016)
  • Associate Professor, Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan (Aug 2015 – Jul 2016)
  • Adjunct Assistant Professor, Brain and Consciousness Research Center, Taipei Medical University, Taipei, Taiwan (Sep 2014 – Jul 2016)
  • Assistant Professor, Graduate Institute of Biomedical Engineering, National Central University, Taoyuan, Taiwan (Aug 2011 – Jul 2015)
  • Postdoc Research Fellow, Neuroimaging Branch, National Institute on Drug Abuse, National Institutes of Health (NIDA/NIH), Baltimore, MD, where he conducted research on spectral analyses of functional connectivity in cocaine users using simultaneous EEG/fMRI recordings.

Honors & Awards

Dr. Changwei W. Wu has garnered several esteemed awards and accolades in recognition of his outstanding contributions to teaching, research, and academic excellence. Notably, he received the Outstanding Teaching Award from the Center of General Education at Taipei Medical University, Taipei, Taiwan, in 2023. In 2020, he was honored with the JMBE Annual Excellent Paper Award by the Taiwanese Society of Biomedical Engineering, as well as the College Student Research Creativity Award from the Ministry of Science and Technology (MOST), Taiwan. Additionally, he was recognized with the Outstanding Teaching Award from the College of Humanities and Social Science at Taipei Medical University, Taipei, Taiwan, and received the Award of Research Program Projects Grant from Taipei Medical University, Taipei, Taiwan, all in the same year. These accolades underscore Dr. Wu’s dedication to advancing education, fostering innovative research, and contributing significantly to his field.

Publication
1. Yi-Chia Kung, Chia-Wei Li, Ai-Ling Hsu*, Chi-Yun Liu, Changwei W. Wu*, WeiChou Chang, Ching-Po Lin*. Neurovascular Coupling in Resting State and EyeOpen-Eye-Close Task: Spectral Correspondence between Concurrent EEG and fMRI. Neuroimage (In press).
2. Hong-Yi Wu, Chih-Mao Huang, Ai-Ling Hsu, Chiao-Nan Chen, Changwei W. Wu*,
Jyh-Horng Chen*. Functional Neuroplasticity of Facilitation and Interference
Effects on Inhibitory Control Following 3-month Physical Exercise in Aging.
Scientific Reports (In press).
3. Timothy J. Lane, Tsan-Hon Liou, Yi-Chia Kung, Philip Tseng*, Changwei W. Wu*.
Functional Blindsight and Its Diagnosis. Frontiers in Neurology 2024; 15:
1207115. doi: 10.3389/fneur.2024.1207115
4. Zhitong John Wang, Hsin-Chien Lee, Chun-Hsiang Chuang, Fan-Chi Hsiao, ShwuHua Lee, Ai-Ling Hsu*, Changwei W. Wu*. Traces of EEG-fMRI Coupling Reveals
Neurovascular Dynamics on Sleep Inertia. Scientific Reports 2024; 14: 1537.
doi: 10.1038/s41598-024-51694-4
5. Yi-Tien Li, Duen-Pang Kuo, Philip Tseng, Yung-Chieh Chen, Sho-Jen Cheng,
Changwei W. Wu, Li-Chun Hsieh, Yung-Hsiao Chiang, Hsiao-Wen Chung,
Yvonne W. Lui, Cheng-Yu Chen*. Thalamocortical Coherence Predicts Persistent
Postconcussive Symptoms. Progress in Neurobiology. 2023; 226: 102464. doi:
10.1016/j.pneurobio.2023.102464
6. Ai-Ling Hsu, Ming-Kang Li, Yi-Chia Kung, John Wang, Hsin-Chien Lee, Chia-Wei
Li, Chi-Wen Huang* and Changwei W. Wu*. Temporal Consistency of
Neurovascular Components on Awakening: Preliminary Evidence from
electroencephalography, cerebrovascular reactivity, and functional magnetic
resonance imaging. Frontiers in Psychiatry 2023; 14: 1058721. doi:
10.3389/fpsyt.2023.1058721
7. Shiao-Fei Guu, Yi-Ping Chao, Feng-Ying Huang, Yu-Ting Jeng, Hei-Yin Hydra Ng,
Chia-Fen Hsu, Chun-Hsiang Chuang, Chih-Mao Huang*, Changwei W. Wu*.
Interoceptive Awareness: MBSR Training Alters Information Processing of
Salience Network. Frontiers in Behavioral Neuroscience 2023; 17:1008086.
doi: 10.3389/fnbeh.2023.1008086
8. Shaoyu Yen, Hong-Yi Wu, Yuhling Wang, Chih-Mao Huang, Changwei W. Wu,
Jyh-Horng Chen, and Lun-De Liao*. Revisiting the Effects of Exercise on Cerebral
Neurovascular Functions in Rats using Multimodal Assessment Techniques.
iScience 2023; 26(4): 106354. doi: 10.1016/j.isci.2023.106354
9. Hei-Yin Hydra Ng; Changwei W. Wu; Feng-Ying Huang; Chih-Mao Huang; ChiaFen Hsu; Yi-Ping Chao*; Tzyy-Ping Jung; Chun-Hsiang Chuang*. Enhanced
Electroencephalography Effective Connectivity in Frontal Low-Gamma Band
Correlates of Emotional Regulation after Mindfulness Training. Journal of
Neuroscience Research 2023; 101(6): 901-915. doi: 10.1002/jnr.25168
10. Deng-Fa Yang, Wen-Ching Huang, Changwei W. Wu, Yu-Chen S. H. Yang, YuTang Tung*. Acute sleep deprivation exacerbates systemic inflammation and
psychiatry disorders through gut microbiota dysbiosis and disruption of circadian
rhythms. Microbiological Research 2023; 268: 127292. doi:
10.1016/j.micres.2022.127292
11. Mengxia Gao, Nichol M.L. Wong, Chemin Lin, Chih-Mao Huang, Ho-Ling Liu,
Cheng-Hong Toh, Changwei Wu, Yun-Fang Tsai, Shwu-Hua Lee*, Tatia M.C.
Lee*. Multimodal Brain Connectome-based Prediction of Suicide Risk in People
with Late-life Depression. Nature Mental Health 2023; 1: 100–113. doi:
10.1038/s44220-022-00007-7
12. Pei-Ying Sarah Chan, Wen-Pin Chang, Chia-Hsiung Cheng, Liu Chia-Yih, Ai-Ling
Hsu*, Andreas von Leupoldt, Changwei Wu*. The Impact of Emotional Context
on Neural Substrates of Respiratory Sensory Gating. Frontiers in Neuroscience
2022; 16:1004271. doi: 10.3389/fnins.2022.1004271
13. Yi-Chia Kung, Chia-Wei Li, Fan-Chi Hsiao, Pei-Jung Tsai, Shuo Chen, Ming-Kang
Li, Hsin-Chien Lee, Chun-Yen Chang, Changwei W. Wu*, Ching-Po Lin*. Crossscale Dynamicity of Entropy and Connectivity in the Sleeping Brain. Brain
Connectivity 2022; 12(9): 835-845. doi: 10.1089/brain.2021.0174
14. Hsuan-Chu Shih, Mu-En Kuo, Changwei W. Wu, Yi-Ping Chao, Hsu-Wen Huang,
Chih-Mao Huang*. The Neurobiological Basis of Love: A Meta-Analysis of Human
Functional Neuroimaging Studies of Maternal and Passionate Love. Brain
Sciences 2022; 12(7): 830. doi: 10.3390/brainsci12070830
15. Hang Wu, Zengxin Qi, Xuehai Wu, Jun Zhang, Changwei Wu, Zirui Huang, Di
Zang, Stuart Fogel, Sean Tanabe, Anthony G. Hudetz, Georg Northoff, Ying Mao*,