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.

 

 

 

 

 

 

 

 

 

 

Sajal Halder – Network Science – Best Researcher Award

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Sajal Halder – Network Science

Dr. Sajal Halder distinguished academic and researcher in the field Network science. He is currently working as a Research Fellow at Charles Sturt University, Australia. He has completed PhD in Computer Science at RMIT University and he has been appointed as an Assistant Professor (on study leave) at Jagannath University, Bangladesh since August 2017. His research interests are Personalized Itinerary Recommendation Systems, Machine Learning, Data Mining, Periodic Behavior Mining in Large-Scale Graph, Trajectory Behavior Analysis and Real Life Big Data Analysis.

Eduvation

He completed his academic journey with a stellar record, culminating in a Doctor of Philosophy (PhD) from the School of Computing Technologies at the Royal Melbourne Institute of Technology (RMIT) University in Melbourne, Victoria, Australia, with graduation in December 2022. His research focus during his doctoral studies was on the development of itinerary recommendation systems using deep learning methodologies. Under the guidance of A/Prof Jeffrey Chan and Prof. Xiuzhen Zhang, he contributed to the advancement of knowledge in this domain.

Prior to his doctoral pursuits, He earned a Master of Engineering in Computer Engineering from Kyung Hee University in South Korea, graduating with distinction in August 2013. His academic excellence is underscored by an impressive Cumulative Grade Point Average (CGPA) of 4.23/4.30 (95.25%). His master’s thesis, conducted under the supervision of Prof. Young-Koo Lee, delved into the exploration of supergraph-based periodic behaviors mining in dynamic social networks.

Commencing his academic journey,  he achieved a Bachelor of Science in Computer Science and Engineering from the University of Dhaka, Bangladesh, with graduation in November 2010. Displaying academic prowess, he secured a CGPA of 3.60/4.00, securing the 5th position out of 59 students. His final undergraduate project, conducted under the guidance of Supervisor Ashis Kumar Biswas, focused on the classification of multiple protein sequences through the analysis of irredundant patterns.

In summary, his educational background reflects a trajectory marked by academic excellence and a commitment to cutting-edge research in the fields of computer science and engineering.

Professional Profiles:

EXPERIENCE

• We developed a metadata-based malicious and benign package detection model for the NPM repository.
• We introduced two sets of features, easy to manipulate (ETM) and difficult to manipulate (DTM),
where manipulating DTM depends on long-term planning and monotonic properties. Then, we verify
our feature selection effectiveness based on four well known machine learning and one deep learning
techniques.
• We also analyse algorithms’ performance using metadata manipulation and recommend better metadata adversarial attack-resistant algorithms.
• Experiment analysis shows that our proposed model reduces 97.56% False Positive and 80.35 % False
Negative number.
• Achievement 1: Sajal Halder et al. ”Malicious Package Detection using Metadata Information”, In
submission (A* Conference).
• Achievement 2: Sajal Halder et al. ”Install Time Malicious Package Detection on NPM Repository”,
In process.
Skills: Feature Engineering, Data Scraping, Open Source Software, Machine Learning Model, Deep Learning,
Python, Report/Article Writing, Data Visualization and Teamw

PhD Researcher, RMIT University Melbourne, Australia.

i. Project Title: Capacity aware Fair POI Recommendation using Users Satisfaction.
Innovation: Design a novel fair POI recommendation model considering POI capacity and users preferences.
Language and Tools: Python, Actor-critic network, GCN, Tensorflow, Neural Network, Graph Allocation and Optimization
Duration: July 2021 to date.
ii. Project Title: Deep reinforcement learning of dynamic POI generation and optimization for itinerary
recommendation
Innovation: Propose and implement deep actor-critic network based itinerary recommendation model
named DRLIR.
Language and Tools: Python, AWS, Actor-critic network, GCN, Tensorflow, Neural Network
Duration: January 2021 to June 2021.
iii. Project Title: POI Recommendation with Queuing Time and User Interest Awareness
Innovation: Improve users interest based multi-tasking based transformer architecture models (TLR U
and TLR-M UI) for best POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: March 2020 to December 2020.
iv. Project Title: Transformer-based Multi-tasking for Queuing Time Aware Next POI Recommendation
Innovation: Design and implement multi-tasking based transformer architecture models (TLR and
TLR-M) for better POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: August 2019 to February 2020.
v. Project Title: Efficient Itinerary Recommendation via Personalized POI Selection and Pruning
Innovation: Develop efficient personalized itinerary recommendation model (EffiTourRec).
Language and Tools: R-studio, Lucid Chart, Overleaf, MatLab.
Duration: August 2018 to July 2019.

Research/Project Member
i Research Group: VLSI Research Group, Department o f Computer Science and Engineering, University of Dhaka, Bangladesh
Supervisor: Professor Dr. Hafiz Md. Hasan Babu
Duration: July 2016 to June 2018.
ii Project Name: Establishment of Basic Campus Network in Jagannath University
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: January 2017 to July 2018.
iii Project Name: Establishment of Basic Campus Network on Bangabandhu Sheikh Mujibur Rahman
Science & Technology University,
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: June 2015 to July 2016

Journal/ Conference Reviewers

• Engineering Applications of Artificial Intelligence (Q1 Ranked Journal, IF: 7.8)
• Information Process and Management (Q1 Ranked Journal, IF: 7.47)
• Applied Soft Computing (Q1 Ranked Journal, IF: 8.7)
• Scientific Reports (Q1 Ranked Journal, IF: 4.6)
• IEEE Transactions on Computational Social Systems (Q1 Ranked Journal, IF: 4.74)
• Transactions on Knowledge Discovery from Data (Q1 Ranked Journal, IF: 4.2)
• IEEE Access (Q1 Ranked Journal, IF 3.367)
• Expert System with Applications, (Q1 Ranked Journal, IF 6.954)
• World Wide Web (Q1 Ranked Journal, IF: 3.00)
• Knowledge and Information Systems (Q1 Ranked Journal, IF: 2.82)
• Neural Processing Letters (IF: 3.1)

SELECTED PUBLICATIONS

1. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang.A Survey on Personalized Itinerary
Recommendation: From Optimisation to Deep Learning. In Applied Soft Computing Journal, 111200,
2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

2. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. In Applied Soft
Computing Journal, pages 110720, 2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

3. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. POI Recommendation with Queuing
Time and User Interest Awareness. In Data Mining and Knowledge Discovery, 2022, Q1 Ranked
Journal, (Impact Factor – 5.406). Publisher: Springer.

4. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Efficient Itinerary Recommendation
via Personalised POI Selection and Pruning. In Knowledge and Information Systems, Volume 64, Pages
963–993, 2022. Q1 Ranked Journal, (Impact Factor – 2.53), Publisher: Springer.

5. Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Transformer-based Multi-task
Learning for Queuing Time Aware Next POI Recommendation. In the 25th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD-2021), A Ranked Conference.

6. Sajal Halder, Md. Samiullah and Young-Koo Lee. Supergraph based Periodic Patterns Mining in
Dynamic Social Networks. Expert Systems with Applications-An International Journal. volume 72,
pages 430-442, 2017, Q1 Ranked Journal, (Impact Factor – 6.954). Publisher: Elsevier.
7. MS Rahman, Sajal Halder, MA Uddin, UK Acharjee, An efficient hybrid system for anomaly detection in social networks. In Cybersecurity, Q1 ranked Journal, (Impact Factor – 6.27), 2021, Volume 4,
Pages 1-11, Publisher: Springer.

8. Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, YoungKoo Lee, Sungyoung Lee. Smart CDSS: Integration of Social Media Interaction Engine (SMIE) in
Healthcare for Chronic Disease Patients. Multimedia Tools and Applications, pages 1-21, 2013, Q1
Ranked Journal, (Impact Factor – 2.757), Publisher: Springer.

9. Yongkoo Han, Kisung Park, Donghai Guan, Sajal Halder, and Young-Koo Lee. Topological Similarity
based Feature Selection for Graph Classification. In the Computer Journal, bxt123, 2013, Q2 Ranked
Journal, (Impact Factor – 0.755), Publisher: Oxford University Press.

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)