Fan Zhang | Computational Biophotonics Methods | Best Researcher Award

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Assoc. Prof. Dr. Fan Zhang | Computational Biophotonics Methods | Best Researcher Award 

Assoc. Prof. Dr. Fan Zhang ,Shanghai University of Engineering Science, China

Assoc. Prof. Dr. Fan Zhang is a distinguished academic and robotics researcher at the Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering Science. With over 15 years of experience in academia, his work focuses on the analysis, design, and optimization of parallel robotic mechanisms, contributing to both theoretical foundations and practical applications in intelligent automation systems.

Profile

Scopus

🎓 Early Academic Pursuits

Dr. Zhang embarked on his academic journey at the College of Mechanical Engineering, DongHua University, where he undertook a Combined Master and Doctoral Degree (2003–2008) in Robotics. His doctoral research, titled “Performance Analysis and Type Synthesis of Parallel Mechanisms”, explored critical aspects such as mobility analysis, Jacobian matrix computation, and motion-free parallel mechanism design—laying a robust theoretical groundwork in robotic kinematics and dynamics.

🧑‍🏫 Professional Endeavors

Dr. Zhang began his professional career as a Lecturer in Robotics (2009–2011) at the Shanghai University of Engineering Science, and was later promoted to Associate Professor in 2011, where he has continued to serve. His position at the Laboratory of Intelligent Control and Robotics allows him to contribute to cutting-edge developments in intelligent control systems, robotic mechanism synthesis, and automation technologies.

🔬 Contributions and Research Focus

Dr. Zhang’s core expertise lies in the limited-DOF parallel mechanism design, particularly focused on Jacobian matrix analysis, performance evaluation, and type synthesis methodologies. His research bridges mechanical engineering and robotics control, aiming to create more precise, efficient, and adaptable robotic systems. His work is critical in industrial automation, biomechanics, and intelligent manufacturing.

🌐 Impact and Influence

Though primarily based in China, Dr. Zhang’s research holds international relevance in the field of robotics kinematics. His studies on instantaneous motion-free mechanisms are particularly noteworthy for their potential to enhance robotic precision in constrained environments. As a mentor and researcher, he has influenced numerous students and early-career scholars in robotics and intelligent systems.

📚 Academic Citations and Research Output

While a detailed list of publications and citation metrics is not provided, Dr. Zhang’s long tenure and doctoral-level research suggest a substantial body of academic work. Increasing visibility through indexed journal publications, international conferences, and citations could further affirm his scholarly impact.

🛠️ Research Skills and Technical Expertise

Dr. Zhang demonstrates advanced skills in:

  • Mechanism design and analysis

  • Kinematic modeling

  • Jacobian computation and optimization

  • Robotic motion planning

  • Intelligent control systems

His technical proficiency enables him to contribute to multidisciplinary projects across engineering and automation.

👨‍🏫 Teaching Experience

With more than 15 years of teaching, Dr. Zhang has educated countless undergraduate and postgraduate students in robotics, mechanical design, and intelligent control. His pedagogical approach combines theoretical rigor with practical application, equipping students with both analytical and design-oriented skills.

🏆 Awards and Honors

While no specific awards are listed, Dr. Zhang’s long-term academic appointments and his promotion to Associate Professor reflect recognition of his academic excellence and research contributions. Inclusion in internal or national honors (e.g., Best Educator, Outstanding Researcher) would be fitting based on his profile.

🔮 Legacy and Future Contributions

Assoc. Prof. Dr. Fan Zhang is building a legacy in robotics mechanism design and intelligent control research. Looking forward, expanding into interdisciplinary domains such as AI-assisted robotics, biomechanical applications, and wearable robotics systems could further elevate his academic impact. His commitment to innovation, education, and engineering excellence positions him as a valuable leader in future robotics advancements.

Top Publications

Analysis of the Rigid Foldability of Origami Patterns Based on Spatial Positions of Creases

  • Authors: Wang, F., Zhang, F., Cui, G.

  • Journal: ASME Journal of Mechanisms and Robotics

  • Year: 2024

Kinematics and Force Transmission Analysis of a Decoupled Remote Center of Motion Mechanism Based on Intersecting Planes

  • Authors: Wu, K., Zhang, F., Cui, G., et al.

  • Journal: Journal of Mechanisms and Robotics

  • Year: 2020

Generalized Mobility and Decoupling Conditions of Closed-Loop Mechanism

  • Authors: Zhang, F., Cui, G., Zhang, D.

  • Journal: Advances in Mechanism and Machine Science (Springer, Cham)

  • Year: 2019

 Type Synthesis of N-Parallelogram-Based Surgical Arm with Remote Actuated Configuration

  • Authors: Zhang, F., Xue, Z., Hang, L., et al.

  • Journal: Mechanism and Machine Science

    • Intelligent control systems

  • Year: 2017

Design and Analysis of a Totally Decoupled 3-DOF Spherical Parallel Manipulator

  • Authors: Zhang, D., Zhang, F.

  • Journal: Robotica

  • Year: 2011

Feng Tian | Cancer Biophotonics Studies | Best Researcher Award

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Prof. Dr. Feng Tian | Cancer Biophotonics Studies | Best Researcher Award

Prof. Dr. Feng Tian, Hebei University of Engineering, China 

Dr. Feng Tian, Ph.D., is a distinguished Professor of Bioinformatics and Medical Data Science at the School of Medicine, Hebei University of Engineering. With over two decades of academic and research excellence, Dr. Tian has established himself as a pioneer in integrating artificial intelligence, bioinformatics, and public health data science. His interdisciplinary expertise drives cutting-edge solutions across clinical diagnostics, multi-omics research, and emergency medical services.

Profile 

Scopus

🎓 Early Academic Pursuits

Dr. Tian earned both his Bachelor’s degree in Biology and his Ph.D. in Bioinformatics from the prestigious Tsinghua University in Beijing, one of China’s top academic institutions. During this period (2000–2009), he demonstrated exceptional promise in computational biology and systems genomics. His doctoral research laid the groundwork for his later contributions to regulatory network analysis and transcription factor dynamics.

👨‍🏫 Professional Endeavors

Dr. Tian has held the position of Professor at Hebei University of Engineering since 2021. His international outlook is marked by his tenure as a Visiting Scholar at the National Center for Data Mining, University of Illinois at Chicago (UIC), where he collaborated with globally recognized experts in biomedical informatics. He has also played a crucial role in establishing the Hebei Key Laboratory of Medical Data Science, fostering innovation at the intersection of AI and health sciences.

🔬 Contributions and Research Focus

Dr. Tian’s primary research interests include:

  • Artificial Intelligence in Health Big Data: Developing intelligent systems for disease prediction, emergency triage, and resource allocation.

  • Multi-Omics Data Integration: Focused on molecular subtyping and MRD detection in Acute Lymphoblastic Leukemia (ALL) using transcriptomic and epigenomic data.

  • Bioinformatics Platforms: Architecting data analysis systems such as miRAS and FlyNet, enabling high-throughput genomic data processing.

  • Public Health Policy Research: Evaluating healthcare accessibility and the impact of localized health interventions like the Handan “Health Cabins” model.

🌍 Impact and Influence

Dr. Tian has co-authored high-impact publications in Nature Communications, Haematologica, Advanced Science, and Bioinformatics, reflecting his global academic stature. His work has significantly advanced our understanding of ALL pathogenesis, and informed AI-based clinical workflows in China. As Principal Investigator on several multi-disciplinary projects, he has bridged the gap between academic research and real-world healthcare applications.

📊 Academic Citations

Dr. Tian’s publications have garnered substantial academic citations, particularly in areas involving gene regulatory networks, deep learning for medical text, and multi-omics disease characterization. His 2024 and 2025 papers on glucocorticoid response in leukemia and tumorigenic profiling of adrenal incidentalomas are already becoming cornerstone references in the field.

🧠 Research Skills

Dr. Tian is highly proficient in:

  • AI and Deep Learning for medical NLP and classification tasks.

  • Multi-omics Data Analysis, including single-cell transcriptomics and epigenetic landscape mapping.

  • Spatial Data Modeling for evaluating healthcare accessibility using probabilistic algorithms.

  • Cross-species genomic comparison and graph-based regulatory modeling.

These technical proficiencies underscore his rare ability to combine computational rigor with biomedical relevance.

🎓 Teaching Experience

Although his profile focuses largely on research, as a university professor, Dr. Tian contributes to the training of graduate students, supervising research projects, and likely guiding Ph.D. candidates in bioinformatics and medical data science. Expanding documentation of his mentorship impact would further highlight his academic leadership.

🏆 Awards and Honors

Dr. Tian has been the recipient of numerous national and provincial awards, including:

  • 🥇 First Prize, Hebei Provincial Science and Technology Progress Award (2024)

  • 🥈 Second Prize, Invention and Entrepreneurship Achievement Award, China Association of Inventions (2024)

  • 🥇 First Prize, Hebei Medical Science and Technology Award (2021)

  • 🥉 Third Prize, Outstanding Achievement Award in Social Sciences (2024)

These accolades validate the real-world impact and innovation of his work, both technically and socially.

🧾 Patents and Software Copyrights

Dr. Tian has secured 22 patents and software copyrights, including:

  • A patented Prehospital Emergency Information Processing Device (2021)

  • A method for AI-driven Emergency Text Classification using ChatGLM (2024)

  • A patented Site Selection Model for Emergency Medical Stations (2025)

These innovative tools have applications in emergency response, healthcare infrastructure planning, and medical informatics.

🌟 Legacy and Future Contributions

Dr. Tian is building a legacy of translational research and technological innovation. His future contributions are likely to further:

  • Shape AI-powered healthcare delivery models in China and abroad.

  • Deepen the understanding of cancer genomics through multi-omics research.

  • Influence healthcare policy through data-driven evaluations of public health programs.

As a leader in medical AI and public health informatics, he is poised to play a key role in addressing global healthcare challenges through data science and precision medicine.

Top Publications

miRAS: a data processing system for miRNA expression profiling study

  • Authors: Tian F, Zhang H, Zhang X, Song C, Xia Y, Wu Y, Liu X

  • Journal: BMC Bioinformatics

  • Year: 2007

  • Citation: BMC Bioinformatics. 2007 Aug 4;8(1):285.

A new single nucleotide polymorphism genotyping method based on gap ligase chain reaction and a microsphere detection assay

  • Authors: Tian F, Wu Y, Zhou Y, Liu X, Visvikis-Siest S, Xia Y

  • Journal: Clinical Chemistry and Laboratory Medicine (Clin Chem Lab Med)

  • Year: 2008

  • Citation: Clin Chem Lab Med. 2008;46(4):486-9.

A graph model based study on regulatory impacts of transcription factors of Drosophila melanogaster and comparison across species

  • Authors: Tian F, Chen J, Bao S, Shi L, Liu X, Grossman RL

  • Journal: Biochemical and Biophysical Research Communications (Biochem Biophys Res Commun)

  • Year: 2009

  • Citation: Biochem Biophys Res Commun. 2009 Sep 4;386(4):559-62.

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

  • Authors: Tian F*, Shah PK*, Liu X, Negre N, Chen J, Karpenko O, White KP, Grossman RL
    (*Shared first authorship indicated)

  • Journal: Bioinformatics

  • Year: 2009

  • Citation: Bioinformatics. 2009 Nov 15;25(22):3001-4.

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

  • Authors: Zhang X, Zhang H, Sheng L, Tian F*
    (*Tian F listed as senior/last author)

  • Journal: IEEE Access

  • Year: 2022

  • Citation: IEEE Access, vol. 10, pp. 64638-64649, 2022.

  • DOI: 10.1109/ACCESS.2022.3179685

Sidra Naz | Cancer Biophotonics Studies | Best Researcher Award

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Dr. Sidra Naz | Cancer Biophotonics Studies | Best Researcher Award

Research Fellow at University of Texas MD Anderson Cancer Center, United States

Dr. Sidra Naz is a dedicated physician-scientist known for her groundbreaking research in the fields of clinical medicine, public health, and epidemiology. With a strong background in medical education and research, she has contributed significantly to advancing medical knowledge through her extensive publications and collaborative projects. Dr. Naz is passionate about improving healthcare outcomes, particularly in oncology, cardiology, and neurology. Her commitment to medical research and patient care has earned her numerous accolades and recognition in the scientific community.

Profile

Google Scholar

Education 🎓

Dr. Naz completed her M.B.B.S. at Faisalabad Medical University, Pakistan, in 2017, laying the foundation for her medical expertise. She further pursued a Master of Public Health in Epidemiology at Ohio University, USA, where she honed her skills in public health research. Her continuous pursuit of knowledge has led her to collaborate with renowned institutions, enriching her understanding of complex medical conditions and their global impact.

Experience 🌟

Dr. Naz has amassed a wealth of experience through her roles at prestigious medical institutions. She currently serves as a Clinical Research Associate and Research Coordinator at the University of Texas MD Anderson Cancer Center, where she focuses on oncology research. Previously, she held a postdoctoral research fellowship at Beth Israel Deaconess Medical Center/Harvard Medical School, contributing to neurology and hematology-oncology research. Her extensive clinical training includes externships and observerships at esteemed hospitals such as Columbia University Irving Medical Center, Duke University, and the University of Cincinnati Medical Center.

Research Interest 🔬

Dr. Naz’s research interests encompass a broad spectrum of medical fields, including oncology, cardiology, gastroenterology, and neurology. She has made significant contributions to the study of racial disparities in clinical outcomes, stroke interventions, cardiovascular diseases, and immune-related adverse events in cancer therapy. Her work in systematic reviews and meta-analyses has provided valuable insights into improving patient care and treatment strategies.

Awards & Honors 🏆

Dr. Naz’s dedication to research excellence has been recognized through numerous prestigious awards, including:

  • Paul Dudley White International Scholar Award (AHA, 2022) – Recognizing her impactful research in advancing clinical outcomes.
  • Cureus Medical Journal Laureate Award (2022) – Honoring her contributions to scientific knowledge and clinical education.
  • Expertscape Award for Excellence (2021) – Ranking her among the top 1% of global medical experts.
  • Distinguished Medical House Officer Award (2019) – Acknowledging her leadership in community health services.
  • BIDMC/Harvard Medical School Poster Presentation Award (2022) – Recognizing her innovation in medical research.

Publications 📚

Dr. Naz has authored numerous peer-reviewed journal articles and abstracts in high-impact medical journals. Some of her key publications include:

“COVID-19 Infection and Myocarditis: A State-of-the-Art Systematic Review”

Year: 2021
Citations: 50

“Psychological Stress as a Risk Factor for Cardiovascular Disease: A Case-Control Study”

Year: 2020
Citations: 47

“Meningitis as an Initial Presentation of COVID-19: A Case Report”

Year: 2020
Citations: 43

“Cerebral Venous Sinus Thrombosis Following COVID-19 Vaccination: A Systematic Review”

Year: 2022
Citations: 39

“einfection of COVID-19 in Pakistan: A First Case Report”

Year: 2020
Citations: 31

“Causes of Acute Peritonitis and Its Complication”

Year: 2021
Citations: 28

“Hypovitaminosis D and Cardiovascular Outcomes: A Systematic Review and Meta-Analysis”

Year: 2022
Citations: 27

“Association Between Hypertension and Hearing Loss”

Year: 2021
Citations: 25

“Comparison of Lipid Profile in Patients With and Without Subclinical Hypothyroidism”

Year: 2021
Citations: 25

“Frequency of Subclinical Hypothyroidism in Women With Polycystic Ovary Syndrome”

Year: 2021
Citations: 19

“SGLT2 Inhibitors Among Patients With Heart Failure With Preserved Ejection Fraction: A Meta-Analysis of Randomized Controlled Trials”

Year: 2023
Citations: 18

“COVID-19-Induced Mesenteric Thrombosis”

Year: 2021
Citations: 17

Conclusion 🎉

Dr. Sidra Naz is an exceptional candidate for the Best Researcher Award, given her strong research background, high-impact publications, and international recognition. While she could further strengthen her profile by securing independent research grants and leading more first-author studies, her diverse contributions to medical science and global health make her a highly competitive nominee.