Liwei Deng- Autonomous Driving- Best Researcher Award

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Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).（WOS:001139763600001）
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–（WOS:001098686900001）
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–（WOS:0011269599000 24）
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.（WOS:001050358900001）
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.（WOS:001025791800001）
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.（WOS:000816995100001）
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.（WOS:00177860300006）
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.（WOS:001008469300001）
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029（WOS:000986658100 001）
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.（WOS:000932261100001）
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.（WOS:001006917800001）
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.（WOS:000961765200002）
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.（WOS:000990481800001）
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.（WOS:000980836000018）
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.（WOS:000934806000001）
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.（WOS:000822102200001）
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.（WOS:000792418600001）
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.（WOS:000662668300001）

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI：20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI：20204009254996).

Mehmet Fatih YUCE – Networks Science Award – Best Researcher Award

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Mehmet Fatih YUCE – Networks Science Award – Best Researcher Award

Mr. Mehmet Faith YUCE distinguished academic and researcher in the field Network science, V2X Misbehavior Detection. During his tenure as a Consultant (Senior Software Engineer) at PIWorks, Inc., he provided valuable consultation for ongoing projects, assisted in the development of new projects, and offered technical guidance to the management team. Notably, he contributed to the development of RachRootSequencer, a utility designed to provide “RACH Root Sequences” to LTE (4G) networks, incorporating elements of Genetic Algorithms to enhance its functionality. Through his diverse experiences and contributions, he has established himself as a skilled and versatile software engineer adept at tackling complex challenges across various projects and domains.

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey with great dedication and passion. Starting with a Bachelor of Science in Software Engineering from Dokuz Eylul University, he laid a strong foundation in the field. Building upon this, he further honed his skills and knowledge through a Master of Science in Computer Software Engineering at Istanbul Aydın University. His commitment to academic excellence led him to pursue a Doctor of Philosophy (PhD) at Istanbul Üniversitesi’s Institute of Science and Technology. Throughout his education, he demonstrated a keen interest in software engineering and computer science, preparing himself for a promising career in academia or industry.

Work experience

He has accumulated extensive experience and expertise in software engineering over the span of more than seventeen years. Currently serving as the SW Team Lead at ULAK HABERLEŞME A.Ş. since May 2022, he specializes in SDN(NG), rust, wireguard, and the Linux kernel. His commitment to open-source development is evident through his continuous contributions, showcased on GitHub and GitLab.

Prior to his current role, he held various positions, including Software Architect at NETAŞ, where he worked extensively on business intelligence, Java, Python, C/C++, Docker, Vagrant, Kubernetes, Machine Learning, Deep Learning, 4G/5G, C#, and Software Defined Networks (SDN). Before that, as a Senior Software Development Engineer at LOGO Cyber Security and Network Technologies, he focused on Java, Python, FreeBSD, Hotspot, Firewall, UTM, TDD, Test Driven Development, TCP/IP, Internet Protocol Suite, and Maven.

His career also includes roles such as Sr. Software Engineer at Intertech Bilgi İşlem ve Pazarlama Tic. A.Ş., where he specialized in Spring, Spring Boot, Camel, React, microservices, optimization, Git, and Gradle. Additionally, he served as a Sr. Software Engineer at Organon Analytics, contributing to projects involving Predictive Analytics, Hadoop, SPARK, ETL, Scala, Java, .NET, REST, Apache Kafka, and Design Patterns.

Earlier in his career, he worked as a Sr. Software Engineer at LA Software Group, where he developed RouteArt, a new framework for vehicle routing problems using Heuristic Bubble Algorithm. He also contributed his skills to LOGO Business Solutions as a Sr. Software Engineer, focusing on FreeBSD, Network Security, Selenium, Vaadin, GWT, AspectJ, and Java. Through these diverse roles, he has demonstrated his proficiency across a wide range of technologies and domains, establishing himself as a seasoned professional in the field of software engineering.

He possesses a wealth of experience in software engineering, demonstrated through his involvement in various projects across different domains. One notable project involves subscriber-based reconciliation, where he developed a system to identify and reconcile discrepancies between nodes, generating approximately 40 reports. Additionally, he implemented a service-based reconciliation system, producing around 14 reports highlighting discrepancies in subscribers’ services provided by the operator.

Furthermore, he contributed to the development of NATter, a project aimed at sniffing the mobile network operator’s firewall for “NAT”ting logs and storing them for a specified period. This project was based on a Workflow ETL system, utilizing HBase as the backend for data storage and employing MapReduce, written in Java, for data manipulation. He also played a key role in developing the web interface using GWT to present the results of NATter.

In addition to these projects, he participated in the creation of the GGSN Redirection Site, a web platform allowing mobile operator customers to refill their balance. This site, built using Tomcat, JSP, and MySQL, was designed to accommodate more than 10 million hits while maintaining minimal resource usage. Another noteworthy contribution includes the development of QuickPay, a web portal facilitating payments via credit card, debit card, or vouchers. QuickPay was developed using Tomcat, GWT, and MySQL, showcasing his proficiency in Java-based technologies and web development frameworks.

 

 

📝🔬Publications📝🔬

Ali Vaezi- Network Science Awards- Best Researcher Award

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Ali Vaezi- Network Science Award – Best Researcher Award

Mr. Ali Vaezi distinguished academic and researcher in the field  Network Science. He is an experienced data analyst at Parva Co. in Tehran, Iran, where he has been driving operational excellence and optimizing supply chains for automotive parts suppliers since October 2019. His responsibilities include utilizing data analysis, implementing process improvements, and fostering cross-functional collaboration. Notably, he has developed data models and dashboards to deliver valuable insights to leadership, leading to a 10% reduction in inventory management costs.

In addition to his professional role, he has served as a teaching assistant at Science & Research University from 2020 to 2023, supporting courses such as Computer Programming, Operational Research 2, Quality and Productivity Management, Decision-Making Analysis, and Systems Analysis. In this capacity, he provided individual tutoring to over 250 students and assisted professors with exam preparation, grading, and facilitating review sessions.

Furthermore, he is an active volunteer member of the Iran Project Management Association since April 2023. In this role, he contributes to the advancement of project management practices through professional development, training, research, and knowledge sharing. He actively participates in association programs aimed at promoting certification, events, and seminars within the field.

🌐 Professional Profiles

Educations📚📚📚

He pursued his Bachelor of Science in Industrial Engineering at Islamic Azad University, Science & Research Branch in Tehran, Iran, from September 2019 to July 2023. During his undergraduate studies, he demonstrated strong academic performance, maintaining a GPA ranging from 3.69/4 to 3.75/4 in his last two years. His coursework included a variety of essential subjects such as Operational Research (1,2), Computer Programming, Probability Theory and its Application, Engineering Statistics, Production Planning, and Principles of Simulation.

Prior to his university education, he completed his Pre-University Diploma in Mathematics and Physics at Allameh Tabatabaei High School in Tehran, Iran, from September 2018 to May 2019. He achieved an outstanding GPA of 18.91/20 during this period, laying a solid foundation for his academic journey in industrial engineering.

Research interests

His research interests encompass a diverse range of topics within the realm of data analytics, machine learning, statistical modeling, operations research, and data science integration. He is particularly drawn to scalable technologies and real-time processing in data analytics, seeking innovative solutions to handle large volumes of data efficiently. Within machine learning, his focus lies in classification, regression, clustering, and deep learning techniques, aiming to uncover patterns and insights from complex datasets.

In statistical modeling for optimization, he is intrigued by predictive modeling, time series analysis, and Bayesian methods, utilizing statistical techniques to enhance decision-making processes. Additionally, he explores the integration of operations research and data science, leveraging mixed-integer linear programming (MILP), metaheuristics, and addressing optimization challenges in real-world applications.

Moreover, he is passionate about interactive data visualization, emphasizing the creation of engaging visuals for effective data communication and decision support. Through his research pursuits, he endeavors to contribute to advancements in these interdisciplinary fields, bridging theory with practical applications to address contemporary challenges.

Honors and Awards:

Received top marks (grade point average above 17) for six semesters during bachelor’s degree at Azad
University
– Recognized as an exceptional student (Elite Student status) based on high academic performance –
ranked in the top 5% of the program
– Secured first place in the idea competition held at Science & Research University, competing against
20 teams.

📝🔬Publications📝🔬

Shareef Mahdi- Network Science Award – Best Researcher Award

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Shareef Mahdi- Network Science Award – Best Researcher Award

Dr. Shareef Mahdi distinguished academic and researcher in the field Network Science. He is a highly motivated and dedicated doctor currently in his first year of general surgery specialty training (ST3) in the West Midlands. His clinical interests encompass oesophagogastric surgery, along with emergency general surgery, major trauma, and global/humanitarian surgery. Academically, his goal is to complete a PhD/DPhil with a focus on oesophageal or gastric cancer during the early phase of being a registrar (ST3-5), then rejoin training in the clinical academic route as an Academic Clinical Lecturer (ACL) with the aim of achieving Senior Lectureship as a Consultant. He is also keen on medical education, leadership, and management. His long-term aspiration is to undergo training in all aspects of elective oesophagogastric surgery and emergency general and major trauma surgery, and to become a substantive consultant surgeon in the NHS, while maintaining a global perspective and engaging in humanitarian surgery abroad.

🌐 Professional Profiles

Educations📚📚📚

He completed his education at Barts and The London School of Medicine and Dentistry, achieving a Master of Science with Distinction in Trauma Sciences (Military and Humanitarian) from 2020 to 2022. Prior to that, he earned a First-Class Honours iBSc in Prehospital Medicine from 2017 to 2018 and completed his MBBS in Medicine with a Final Year Merit from 2013 to 2019. In terms of postgraduate exams and courses, he successfully completed the Advanced Trauma Life Support (ATLS) Provider Course in November 2021, passed the MRCS Part B Exam in September 2021, and attended the East of England Foundation School Train The Trainer (TTT) Course in December 2020. He also passed the MRCS Part A Exam in September 2020 and completed the Basic Surgical Skills (BSS) Course in March 2020.

 

Research, Clinical Audit and Quality Improvement Experience

Research at the Royal Liverpool University Hospital (RLUH) – 2021 to 2023
• Research as part of the upper GI cancer group including basic science project looking into the utility of PDL1 checkpoint inhibition in the adjuvant setting
for patients with resected junctional adenocarcinoma and a pyloric drainage network meta-analysis (February 2022 to present)
• Quality Improvement Project looking into management of Gallstone Disease at RLUH (February 2022 to present)
• Audit of pre-operative anaemia assessment and management in upper gastrointestinal cancer surgery (May to August 2022)
• Retrospective cohort study looking into outcomes of robotic colorectal cancer surgery patients at RLUH (October 2021 to September 2022)
Research at the Centre for Trauma Sciences, Barts and The London School of Medicine and Dentistry – 2021 to 2022
• Prevalence of chronic pain after severe lower limb injury (SLLI): a systematic review and meta-analysis in partial fulfilment of MSc Dissertation (October
2021 to September 2022)
Research at the Lister Hospital – 2019 to 2021
• Retrospective cohort study highlighting changes in practice in the management of appendicitis due to COVID-19 – work submitted for publication in the
Annals of the Royal College of Surgeons (England).
• Retrospective cohort study examining documentation practice of hernia repairs over a decade – work presented at the Association of Surgeons in Training
(ASiT), March 2016 and Association of Surgeons of Great Britain and Ireland (ASGBI), July-August 2020 conferences. Accepted for publications in the Annals
of the Royal College of Surgeons (England).
Research at the Institute of Prehospital Care, London’s Air Ambulance – 2017 to 2018
• Systematic Literature Review titled ‘The Definition and Categorisation of Preventable Prehospital Trauma Deaths: Recommendation for Uniform Reporting’
in partial fulfilment of iBSc Dissertation (January 2018 to June 2018)
Research at the Royal London Hospital – 2015 to 2019
• SNAP-2: Epidemiology of Critical Care provision after surgery (EpiCCS) – July 2018 – Data collection for a multi-centre collaborative study looking at provision
of specialist care after major surgery. Contributed to data collection.
• Surgical education piece of work, in the form of a survey assessing the use of Snapchat as a means of streaming surgical procedures for training – work
presented nationally at the Global Surgical Frontiers conference at The Royal College of Surgeons, England, March 2017
• Closed loop audit on peripheral line care and patient safety on surgical wards in a large tertiary centre – work presented internationally at European Society
for Trauma and Emergency Surgery (ESTES) conference, May 2017
• Closed loop audit assessing the association between patient recall of consultant and nurse names and the presence of those names on boards near the
patients’ beds, in relation to the ‘#hellomynameis campaign – work presented nationally at ASiT conference, March 2016

Leadership, Management and Teaching Experience

  1. In his leadership, management, and teaching roles, he has demonstrated a strong commitment to fostering growth and development in various settings. Currently serving as the Junior Trainees Lead at Roux Group since February 2023, he actively encourages junior trainees to pursue careers in upper gastrointestinal or hepatopancreatobiliary surgery. He is also involved in organizing national conferences and training events. His tenure as the Staff and Associate Specialists Council (SASC) Representative at the Mersey Junior Doctor Committee (MJDC) from September 2021 to September 2022 involved advocating for colleagues at local, regional, and national levels. As a Foundation Representative for the Surgical Trainees in East of England Research (STEER) Collaborative from October 2020 to July 2021, he played a key role in organizing research activities and facilitating data collection. Additionally, his experience as Course Lead for the Surgical Skills SSC from December 2016 to July 2021 highlights his ability to design and implement educational programs effectively. He has also contributed significantly to community initiatives, such as his role as Expansion Officer at StreetDoctors Ltd from May 2018 to November 2018, where he conducted research on youth violence trends and helped expand the organization’s reach. Furthermore, his leadership roles within Barts and The London Surgical Society demonstrate his proficiency in organizing events and implementing mentorship schemes for aspiring surgeons. As a Team Leader and Project Manager at Medify Ltd from June 2015 to August 2016, he led a project aimed at providing fairer access to medical school through data collection and application support initiatives. Through these experiences, he has honed skills in leadership, communication, organization, and project management, which will undoubtedly contribute to his future endeavors in surgery and academia.

Awards and Achievements

• The Gordon Cassie Postgraduate Fund (2020)
• Royal College of Surgeons of Edinburgh (RCSEd) Africa Elective Bursary (2019)
• Institute of Medical Ethics (IME) Prize for ‘Best Poster Presentation’ at ASiT Conference (2016)
• Rod Flower Vacation Research Scholarship (2014)
• Ian Hart Vacation Research Scholarship (2013)

 

📝🔬Publications📝🔬

• Mahdi, S., Stoner, R.S., Wyatt, J., De’Ath, H., Perkins, Z. 2024. Prevalence of chronic pain after severe lower limb injury (SLLI): a
systematic review and meta-analysis. Injury.
• CholeCovid Collaborative. Mahdi, S. (collaborator), et al. 2022. Global overview of the management of acute cholecystitis during the
COVID-19 pandemic (CHOLECOVID study). Brit J Surg Open. 6 (3)
• STARSurg Collaborative. Mahdi, S. (collaborator), et al. 2022. Impact of postoperative acute kidney injury in patients undergoing
major gastrointestinal surgery on 1-year survival and renal outcomes: a national multicentre cohort study. Brit J Surg Open. 5(6)
• Farquharson, B., Sivarajah, V., Mahdi, S., Bergman, H., Jeyarajah, S. 2021. Where is the nerve? Review of operation note
documentation practice for inguinal hernia repair. Ann Roy Coll Surg.
• Sivarajah, V., Farquharson, B., Mahdi, S., Cathcart, P., Jeyarajah, S. 2020. Chronic groin pain following open inguinal hernia repair –
Has consenting practice improved? Ann Roy Coll Surg.
• GlobalSurg Collaborative. Mahdi, S. (collaborator), et al. 2019. Global variation in anastomosis and end colostomy formation
following left-sided colorectal resection. Brit J Surg Open. 3(3): 403-414
• GlobalSurg Collaborative. Mahdi, S. (collaborator), et al. 2019. Pooled analysis of WHO Surgical Safety Checklist use and mortality
after emergency laparotomy. Brit J Surg. 106(2): e103-e112

. Prevalence of chronic pain after severe lower limb injury (SLLI): a systematic review and meta-analysis

Syarifuddin – Network Science – Best Researcher Award

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Mr.  Syarifuddin distinguished academic and researcher in the field Network science.He has been actively engaged in research and academic roles at Hasanuddin University, Indonesia. Since 2022, he has served as a Junior Researcher at the Laboratory of Materials and Energy Physics, where he contributes to various research projects. Additionally, he has been part of the Publication Management Center since 2022, where he collaborates with teams to oversee publication-related activities. Prior to these roles, from 2020 to 2022, he gained experience as a Research Assistant at the Laboratory of Materials and Energy Physics, further solidifying his expertise in the field.

🌐 Professional Profiles

Educations📚📚📚

Since 2018, he has been pursuing his undergraduate studies at Hasanuddin University, focusing on Materials Physics within the Faculty of Mathematics and Natural Sciences. Currently, he is a graduate student at the same university, specializing in Biocomposite Nanomaterials under the Faculty of Mathematics and Natural Sciences, a path he embarked on in 2023.

He was the recipient of the Bidikmisi scholarship, an Indonesian government education assistance program, from 2018 to 2021 while studying at Hasanuddin University. This scholarship provided him with financial support to pursue his undergraduate studies, highlighting his academic achievements and dedication to his education

WORK EXPERIENCE 🧬🔗

He possesses a diverse range of scientific expertise spanning various areas. His scientific interests revolve around Nonlinear Material Structure and Dynamics, encompassing bifurcation analysis, nonlinear waves, and nanomaterial dynamics in biocomposites. Additionally, he excels in Synthesis and Characterization, adept in synthesis methods and material characterization techniques. Furthermore, he demonstrates proficiency in exploring Technology Applications such as environmentally friendly materials, nanomaterial-based drug delivery platforms, and nanoscale electronic devices. His skills extend to Research Trend Analysis and research network mapping, facilitating visualization of research networks and trends. With language proficiency in both Indonesian (native) and English (intermediate), he effectively communicates his findings. In terms of technical expertise, he is well-versed in PC Operation System with Microsoft Windows, programming languages including MatLab and Rstudio, and various office suites/publishing tools like Microsoft Office and LaTeX. Moreover, he exhibits proficiency in graphics software such as Tableau, Citespace, VosViewer, CorelDraw, Origin Pro, ImageJ, and HighScore.

 

 

 

 

 

 

 

 

 

 

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*,

Damon Centola – Networks- Best Researcher Award

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Prof. Damon Centola a distinguished academic and researcher in the field of Collective Intelligence .His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

Eduvation

He earned his educational credentials in the field of sociology, culminating in a Ph.D. from Cornell University in 2006. Prior to this, he completed his Master’s in Sociology at Cornell University in 2004, showcasing a commitment to advancing his expertise in the subject. His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

 

Professional Profiles:

Appointments
He holds a distinguished series of appointments, currently serving as the Elihu Katz Professor of Communication, Sociology, and Engineering at the University of Pennsylvania since 2021. Prior to this role, he held the position of Professor of Communication at the Annenberg School for Communication, concurrently serving as Professor of Engineering (secondary) in the School of Engineering and Applied Sciences, and Professor of Sociology (secondary) in the School of Arts and Sciences at the University of Pennsylvania from 2019 to 2021.
In 2019, he assumed the role of Senior Fellow at the Penn LDI Center for Health Incentives and Behavioral Economics, and became a faculty member at both the Penn Population Studies Center and the Penn Master of Behavioral and Decision Sciences Program. Since 2013, he has been a faculty member at the Penn Warren Center for Network and Data Sciences, concurrently directing the Network Dynamics Group. His academic journey includes serving as an Associate Professor at the Annenberg School for Communication and the School of Engineering and Applied Sciences at the University of Pennsylvania from 2013 to 2019. Prior to joining the University of Pennsylvania, he was an Assistant Professor at the MIT Sloan School of Management from 2008 to 2013. Notably, in 2006-08, he held the prestigious position of Robert Wood Johnson Scholar in Health Policy at Harvard University, and in 2001-02, he was a Visiting Scholar at The Brookings Institution.

Research

Social Change, Diffusion of Innovations and Ideas, Simple and Complex Contagions, Structural
Inequality, Medical Bias, Collective Intelligence, Social Epidemiology, Collective Action and
Social Movements, Sustainability and Climate Change, Cultural Evolution and Norms, Social
Networks, Centrality and Influence, Online Experimental Methods, Computational Social Science

Awards and Fellowships

He has amassed a plethora of accolades and honors throughout his illustrious career. In 2019, he earned the prestigious Harrison White Outstanding Book Award from the American Sociological Association and was honored with the Top Paper Award in Health Communication by the International Communication Association. His notable contributions were further underscored by the receipt of the Best Paper Award at the 2018 International Conference on Computational Social Science and the James Coleman Award for Outstanding Article from the American Sociological Association in 2017. The year 2016 brought the distinction of being named a Wharton Mack Institute Fellow. Over the academic year 2014-15, he held fellowships at both the Center for Advanced Study in the Behavioral Sciences at Stanford University and the Lenore Annenberg and Wallis Annenberg Endowment for Communication.

A significant highlight in 2014 was the award of U.S. Patent #8713143, recognizing his innovative method of creating social networks to facilitate behavior change. His impact also extends into the scientific realm, demonstrated by his participation in the Kavli Frontiers of Science program by the National Academy of Sciences in 2012. Early in his career, he was honored with the Leo Goodman Early Career Award in Sociological Methodology in 2011 and received the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2011, 2009, and 2006.

In 2010, he was recognized with the MIT Faculty Prize for Research in Computers and Communications. Additional accolades include the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2009 and 2006. His academic journey features prestigious fellowships, including the Columbia University Exchange Scholar Fellowship in 2004, NSF EITM Summer Fellowship in 2004, Cornell University Russell Sage Fellowship in 2002, NSF IGERT Fellowship in Non-linear Dynamics and Chaos in 2002, and the Santa Fe Institute Summer Fellowship in 2000.

Books
Centola, Damon. (expected 2024) Structural Intelligence. Cambridge, MA: MIT Press.
Centola, Damon. 2021. Change: How to Make Big Things Happen. New York: Little, Brown & Co.
• Translations into Chinese, Romanian, Korean, Russian, Dutch, Thai, Japanese, Italian, Turkish,
Portuguese (Brazil)
• Selected Reviews & Coverage: Nature, New York Journal of Books, The New York Times, NPR
Hidden Brain, Radio Times, Inside Higher Ed, Annual Reviews, The Current, Ottawa Writers Festival,
ABC Australia, Times of India
Centola, Damon. 2018. How Behavior Spreads: The Science of Complex Contagions. Princeton, NJ:
Princeton University Press.
• 2019 Harrison White Outstanding Book Award, American Sociological Association
• Translations into Chinese, Arabic, Polish
• Selected Reviews & Coverage: Science, The Journal of Mathematical Sociology, Information,
Communication & Society, New Scientist, MIT Sloan Management Review, Strategy + Business, The
American Interest, American Journal of Sociology, Contemporary Sociology
Selected Conference and Working Group Presentations
Complex Centrality and Predicting Influence,” ASA Regular Session, August 2023.
“Social tipping points for unprecedented change,” EU Learn, Knowledge Talks on Tipping Points,
threats and opportunities, June 2022.
“Reduction of race and gender bias in recommendations for clinical treatment using a clinician peer
network based intervention in experimental setting,” Annual ICA Conference, May 2022.
“Influencers and Misinformation,” DARPA Studying Long-Tailed Influencer-Enabled Crowd
Extremism, October 2021
Publication

Shahid Alam – Network science

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Dr. Shahid Alam – Leading Researcher in Network Science

Education📚

🎓 He pursued his academic journey in the field of Applied Physics, culminating in a Ph.D. from the GIK Institute of Engineering Sciences and Technology (GIKI), Pakistan, spanning from August 2018 to July 2021. Prior to that, he earned his Master’s degree in Applied Physics at GIKI, completing the program from January 2016 to April 2018. His educational foundation in Physics was laid during his undergraduate years, where he obtained a Bachelor of Science (Hons) in Physics from Hazara University, Mansehra, Pakistan, from September 2011 to August 2015. These years of dedicated study and research have equipped him with a strong academic background and a passion for the applied sciences. 📚🔬

 

Professional Profiles:

RESEARCH EXPERIENCE

🎓 He embarked on a fascinating research journey as a Ph.D. researcher from August 2018 to July 2021 at the Nanotechnology Research Laboratory, GIK Institute in Pakistan. Delving into the captivating realm of nanotechnology, his focus centered on unraveling the synergistic potential inherent in the combination of metal phosphates and sulfides. This exploration was driven by the aspiration to unearth novel applications in the realm of supercapattery devices, propelling the boundaries of energy storage technology.

🔬 During his tenure as an MS research student from July 2016 to April 2018 at GIK Institute, he dedicated himself to investigating innovative approaches in the field. His research endeavor revolved around the fabrication of inverted perovskite solar cells, where Cadmium Sulphide played a pivotal role as the electron transport layer. This pursuit was not merely an academic endeavor; rather, it was a passionate quest to contribute to the advancements in solar energy technology, seeking sustainable solutions for a brighter and cleaner future. 🌞

CAREER HISTORY

🎓 He has a diverse and enriching career history that spans various roles in academia and research. Since September 2021, he’s been serving as an Assistant Professor in the Department of Physics at Abbottabad University of Science and Technology in Havelian. In addition to his teaching responsibilities, he’s taken on the role of Departmental Controller of Examination since April 2022, overseeing internal examinations within the Department of Physics.

His journey in academia began as a Graduate Assistant at the GIK Institute of Engineering Sciences and Technology, Pakistan, where he was involved from January 2016 to January 2018. This early experience laid the foundation for his subsequent roles and allowed him to contribute meaningfully to the academic and research community. 🌐🔬

PUBLICATIONS
  1. Advancements in asymmetric supercapacitors: Material selection, mechanisms, and breakthroughs with metallic oxides, sulfides, and phosphates – Journal of Energy Storage, 2023, 72, 108208
  2. Binary composites of strontium oxide/polyaniline for high performance supercapattery devices
    MZ Iqbal, S Alam, AM Afzal, MJ Iqbal, K Yaqoob, MA Kamran, MRA Karim, …
    Solid State Ionics 347, 115276
  3. Green synthesis of nickel‐manganese/polyaniline‐based ternary composites for high‐performance supercapattery devices
    S Alam, MZ Iqbal, J Khan
    International Journal of Energy Research 45 (7), 11109-11122
  4. Binary composites of nickel-manganese phosphates for supercapattery devices
    M Alzaid, MZ Iqbal, S Alam, N Almoisheer, AM Afzal, S Aftab
    Journal of Energy Storage 33, 102020
  5. Recent advancement in the performance of solar cells by incorporating transition metal dichalcogenides as counter electrode and photoabsorber
    MZ Iqbal, S Alam, MM Faisal, S Khan
    International Journal of Energy Research 43 (8), 3058-3079
  6. Binary composites of sonochemically synthesized cobalt phosphates/polyaniline for supercapattery devices
    F Alam, MZ Iqbal, S Alam, N Alhassan
    Journal of Energy Storage 42, 103150
  7. Magnetron sputtered tungsten di-sulfide: An efficient battery grade electrode for supercapattery devices
    S Alam, MZ Iqbal, N Amjad, R Ali, M Alzaid
    Journal of Energy Storage 46, 103861
  8. Exalted redox frameworks of Cu-MOF/polyaniline/RGO based composite electrodes by integrating silver nanoparticles as a catalytic agent for superior energy featured supercapatteries
    M Roman, SSA Gillani, S Farid, M Shakil, R Ahmad, MZ Iqbal, MM Faisal, …
    Electrochimica Acta 400, 139489
  9. Enhanced electrochemical performance of battery‐grade cobalt phosphate via magnetron sputtered copper interfacial layer for potential supercapattery applications
    MZ Iqbal, J Khan, S Alam, R Ali, MJ Iqbal, AM Afzal, S Aftab
    International Journal of Energy Research

 

 

Chun Cao | Network Science

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  Dr.  Chun Cao – Network Science

Academician/Research Scholar

Congratulations,Dr.  Chun Cao – Network Science , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Wishing you continued success and many more milestones in your illustrious research journey. Your impact on the field is truly commendable and serves as a beacon of inspiration for aspiring researchers.

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

    • Doctor degree of medicine in West China Clinical Medical School of Sichuan univeresity.
    • Major; Hematology (Stem cell transplantation)
    • Bechelor and Master degree of Medicine in West china Clinical Medical School of sichuan University.

Awards:

1.The second prize for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

2.The best teaching plan award for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

publication;

1. Cao C, Wang T, Luo Y, Zhang Y, Dai YY, Shen Y. Comprehensive analysis of cuproptosis-associated LncRNAs predictive value and related CeRNA network in acute myeloid leukemia. Heliyon. 2023;9(12):e22532. Published 2023 Nov 25. doi:10.1016/j.heliyon.2023.e22532
2. Cao C, Zhang L, Sorensen MD, et al. D-2-hydroxyglutarate regulates human brain vascular endothelial cell proliferation and barrier function [published correction appears in J Neuropathol Exp Neurol. 2023 Nov 07;:]. J Neuropathol Exp Neurol.
2023;82(11):921-933. doi:10.1093/jnen/nlad0723. Cao C, Li X, Liu T, Zhang L, Shen K, Zhu H. Human organic cation transporter 1 protein levels of granulocytes can optimize imatinib therapy in patients with chronic myeloid leukemia. Acta Haematol. 2015;133(2):199-204. doi:10.1159/0003654374. Cao C, Liu T, Zhu H, Wang L, Kai S, Xiang B. Bortezomib-contained chemotherapy and thalidomide combined with CHOP (Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone) play promising roles in plasmablastic lymphoma: a case report and literature review. Clin Lymphoma Myeloma Leuk. 2014;14(5):e145-e150. doi:10.1016/j.clml.2014.03.002
5. Cao C, Liu S, Lou SF, Liu T. The +252A/G polymorphism in the Lymphotoxin-α gene and the risk of non-Hodgkin lymphoma: a meta-analysis. Eur Rev Med Pharmacol Sci. 2014;18(4):544-552.
6.Cao C, Liu T, Lou S, Liu W, Shen K, Xiang B. Unusual presentation of duodenal plasmablastic lymphoma in an immunocompetent patient: A case report and literature review. Oncol Lett. 2014;8(6):2539-2542. doi:10.3892/ol.2014.26047.Sun Y, Wei C, Cao C, et al. New Strategy of Acute Graft-vs-Host Disease: Investigation of a Reduced Dose of Antithymocyte Globulin in Haploidentical Hematopoietic Stem Cell Transplantation. Transplant Proc. 2019;51(3):890-895. doi:10.1016/
j.transproceed.2018.10.028

Fan Xu | Network Science

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 Prof Dr.  Fan Xu | Network Science

Academician/Research Scholar

Congratulations, Prof Dr.  Fan Xu | Network Science , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Wishing you continued success and many more milestones in your illustrious research journey. Your impact on the field is truly commendable and serves as a beacon of inspiration for aspiring researchers.

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

  • Bachelor’s Degree (B.S):
    • Major: Pharmacology
    • Institution: Chengdu Medical College
    • Duration: 2003-2007
  • Master’s Degree (M.D):
    • Major: Biochemistry and Molecular Biology
    • Institution: Chongqing Medical University
    • Duration: 2009-2012
  • Doctoral Degree (Ph.D):
    • Major: System Biology
    • Institution: Chongqing Medical University
    • Duration: 2012-2015
  • Visiting Scholar:
    • Institution: Peking University Medical School (Beijing, China)
    • Duration: 2019-2020
    • Certificate Number: 2020059

Teaching Certification:

  • Teaching Certification (China):
    • Certificate Number: 20195100171005018
    • Qualified as a senior faculty member at higher education institutions.

Honors and Certificates:

  • Certificates from Sichuan Province:
    1. Certificate of Overseas Study (川留​​F397 号)
    2. Certificate of High-level Overseas Talents (川留​​F311 号)
  • Other Honors:
    1. Various awards and recognitions for scientific research, teaching, and innovation from Chengdu Medical College.
    2. Outstanding contributions and awards from external organizations and employers.

Research Interests:

  1. Behavioral Genetics and Cognitive Sciences
  2. Systems Biology and Integration of Omics Data
  3. Advanced Analysis of Medical Imaging

Author Information:

  • ResearcherID: HLW-1600-2023

Published Papers (Selected): Note: List includes some papers from 2022 and 2023.

  1. Correlation analysis between EEG data and facial expressions and sleep behaviors (2023)
  2. Accuracy of Raman spectroscopy in the diagnosis of Alzheimer’s disease (2023)
  3. Serum uric acid to serum creatinine ratio predicts neurological deterioration in branch atheromatous disease (2023)
  4. Endothelial function and arterial stiffness indexes in subjects with carotid plaque (2023)
  5. Landmarks in pancreatic cancer studies (2022)
  6. Vigilant Attention, Cerebral Blood Flow, and Grey Matter Volume Change after Acute Sleep Deprivation (2022)
  7. Depression symptoms and quality of life in empty-nest elderly (2022)
  8. Carotid plaque components and other carotid artery features associated with the risk of stroke (2022)
  9. Facial muscle movements in patients with Parkinson’s disease undergoing phonation tests (2022)
  10. A systematic review and meta-analysis comparing the ability of diagnostic of the third heart sound and left ventricular ejection fraction in heart failure (2022)