Jianmin Li | Data collection | Best Researcher Award

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Prof. Jianmin Li | Data collection | Best Researcher Award

Tianjin University | China

Profile Verified

Scopus

✅ Suitability Summary

Dr. Li is exceptionally qualified for leadership in medical robotics, effectively bridging theory and clinical practice. His strategic role in national research programs and standardization of medical robots reflects his influence and vision. As a recognized expert, he contributes significantly to minimally invasive surgery innovation and the future of intelligent healthcare systems.

🎓 Education & Experience

Dr. Jianmin Li is a professor at Tianjin University, with a dedicated academic career focused on surgical robotics. With a solid background in engineering and control systems, he has developed deep expertise in both theoretical research and practical application of medical robotic systems. His knowledge spans mechanical design, robotic control, and biomedical integration, making him a leading figure in intelligent surgical technology in China.

📜 Professional Development

Dr. Li currently serves as a guiding expert for the National Key Research and Development Program of China on intelligent robots, and as an expert member of the medical robot standardization unit. At Tianjin University, he leads a high-performing research group and mentors upcoming talent in surgical robotics, supporting the translation of research into clinical tools and commercial success.

🔬 Research Focus

Dr. Li’s research addresses core technical challenges in laparoscopic surgical robotics, including the cable transmission mechanism in confined spaces, synthesis of RCM (Remote Center of Motion) mechanisms, and end-to-end master-slave isomeric mapping. He led the development of the MicroHand robotic system — China’s first domestically developed laparoscopic surgical robot. His team also conducted the world’s first 5G remote laparoscopic surgery clinical trial with the largest single-center sample size, pushing the frontiers of tele-surgery and robotic-assisted procedures.

🏆 Honors & Awards

Dr. Li has received the National Science Fund for Excellent Young Scholars, the Second Prize of the National Technology Invention Award (ranked second), and the Special Prize of Tianjin Technical Invention. His leadership resulted in the first clinical trial and first multi-center controlled clinical trial for a domestic laparoscopic surgical robot, and he achieved the first registration certificate for such a system in China. These accolades mark him as a pioneer and innovator in the field of robotic surgery.

📚 Selected Publication

Instance-level semantic segmentation of nuclei based on multimodal structure encoding

    • Authors: Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

    • Journal: BMC Bioinformatics

    • Year: 2025

Global trends and insights of telesurgery research: a bibliometric analysis of publications since the 21st century

    • Authors: Guangdi Chu, Bo Guan, Xiaoyu Ji, Jianmin Li, Haitao Niu

    • Journal: Surgical Endoscopy and Other Interventional Techniques

    • Year: 2025

Advancing medical devices with soft actuators

    • Authors: Jiuke Mu, Lixue Yang, Nan Sheng, Jianmin Li, Hongzhi Wang

    • Journal: (Journal not explicitly listed — assumed to be in a medical or bioengineering journal, not provided in text)

    • Year: 2025

 LungDepth: Self-Supervised Multi-Frame Monocular Depth Estimation for Bronchoscopy

    • Authors: Jingsheng Xu, Bo Guan, Jianchang Zhao, Bo Yi, Jianmin Li

    • Journal: International Journal of Medical Robotics and Computer Assisted Surgery

    • Year: 2025

Innovative Integration of Robotic-Assisted Laparoscopic Telesurgery and Quantum Cryptography Communication in Urology: Clinical Application and Initial Experience

    • Authors: Guangdi Chu, Xuecheng Yang, Xin Zhang, Jianmin Li, Haitao Niu

    • Journal: International Journal of Medical Robotics and Computer Assisted Surgery

    • Year: 2025

Jianfei Sun | Biosensing and Bioimaging | Best Researcher Award

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Prof. Jianfei Sun | Biosensing and Bioimaging | Best Researcher Award

Southeast University | China

Publication Profile:

Google Scholar

👨‍🎓 Summary:

Prof. Jianfei Sun is a distinguished researcher and doctoral supervisor at Southeast University, China. He specializes in magnetic nanomaterials for medicine and electromagnetic therapy. As the director of the Jiangsu Key Laboratory of Biomaterials and Devices, he has pioneered methods for overcoming depth limitations in medical treatments using magnetic stimulation. With over 90 academic papers and 9 invention patents, Prof. Sun’s work has contributed significantly to both scientific advancements and technology transfer.

🎓 Education:

Prof. Sun holds a doctoral degree in a relevant field and has completed extensive research in biomaterials and electromagnetic therapies.

💼 Professional Experience:

Prof. Sun has a notable academic career at Southeast University, where he supervises doctoral students and leads cutting-edge research in biomedical engineering. His work focuses on developing advanced magnetic nanomaterials for medical applications and their integration into clinical therapies.

📚 Academic Citations:

Prof. Sun has authored over 90 papers published in renowned academic journals, including key publications in Zoological Research, ACS Applied Materials & Interfaces, and Applied Physics A. His research has been widely cited, making a significant impact in the field of medical magnetism.

🛠️ Technical Skills:

  • Magnetic Nanomaterial Synthesis

  • Electromagnetic Therapy Development

  • Precision Magnetic Stimulation

  • Biomaterial Application in Medicine

  • Patented Technology in Nanotechnology

👨‍🏫 Teaching Experience:

Prof. Sun has contributed to academia as a doctoral supervisor at Southeast University, mentoring students in the fields of biomaterials, nanotechnology, and medical engineering.

🔬 Research Interests:

His research is centered on the application of magnetic nanomaterials in medicine, particularly in electromagnetic therapies for neurological diseases. Prof. Sun’s pioneering work includes precision magnetic stimulation methods and nano-iron oxide materials used for therapeutic purposes.

📚 Top Notes Publications:

Co-seismic ruptures of the 12 May 2008, Ms 8.0 Wenchuan earthquake, Sichuan: East–west crustal shortening on oblique, parallel thrusts along the eastern edge of Tibet

    • Authors: J Liu-Zeng, Z Zhang, L Wen, P Tapponnier, J Sun, X Xing, G Hu, Q Xu, …

    • Journal: Earth and Planetary Science Letters

    • Year: 2009

Response of MAPK pathway to iron oxide nanoparticles in vitro treatment promotes osteogenic differentiation of hBMSCs

    • Authors: Q Wang, B Chen, M Cao, J Sun, H Wu, P Zhao, J Xing, Y Yang, X Zhang, …

    • Journal: Biomaterials

    • Year: 2016

Magnetic field and nano-scaffolds with stem cells to enhance bone regeneration

    • Authors: Y Xia, J Sun, L Zhao, F Zhang, XJ Liang, Y Guo, MD Weir, MA Reynolds, …

    • Journal: Biomaterials

    • Year: 2018

A novel magnetic hydrogel with aligned magnetic colloidal assemblies showing controllable enhancement of magnetothermal effect in the presence of alternating magnetic field

    • Authors: K Hu, J Sun, Z Guo, P Wang, Q Chen, M Ma, N Gu

    • Journal: Advanced Materials

    • Year: 2015

Effect of drip irrigation on strawberry growth and yield inside a plastic greenhouse

    • Authors: BZ Yuan, J Sun, S Nishiyama

    • Journal: Biosystems Engineering

    • Year: 2004

Tacrine–ferulic acid–nitric oxide (NO) donor trihybrids as potent, multifunctional acetyl-and butyrylcholinesterase inhibitors

    • Authors: Y Chen, J Sun, L Fang, M Liu, S Peng, H Liao, J Lehmann, Y Zhang

    • Journal: Journal of Medicinal Chemistry

    • Year: 2012

Rehan Ullah | Neuroscience Data Analysis | Best Researcher Award

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Mr. Rehan Ullah | Neuroscience Data Analysis | Best Researcher Award

Chung Yuan Christian University, Taoyuan, Taiwan | Taiwan

PUBLICATION PROFILE

Scopus

Mr. Rehan Ullah⚡🌍

INTRODUCTION 👤

Mr. Rehan Ullah is a Pakistani national born on March 3, 1993, currently pursuing a Ph.D. in Biomedical Engineering at Chung Yuan Christian University in Taoyuan, Taiwan. He has a strong background in Zoology and has contributed significantly to research in nanotechnology and its biomedical applications.

EARLY ACADEMIC PURSUITS 🎓

  • Bachelor of Science in Zoology (2014 – 2018): University of Malakand, Chakdara, Pakistan.

    • Key subjects included Animal Diversity, Developmental Biology, and Ecology.
    • Achieved a CGPA of 3.90/4.00.
    • Thesis: “Effect of Sedum adenotrichum extract against Acetaminophen induced Hepatotoxicity in Rabbits” under the supervision of Dr. Dilnaz.

  • Master of Philosophy in Zoology (2018 – 2020): Government College University Lahore, Pakistan.

    • Studied Advanced Physiology, Recombinant DNA Technology, and Applied Biostatistics.
    • Obtained a CGPA of 3.49/4.00.
    • Thesis: “Altered oxidative stress in albino mice fed with allicin-mediated nanoparticles” supervised by Prof. Dr. Atif Yaqub.

PROFESSIONAL ENDEAVORS 💼

  • Research Assistant (2018 – 2020): Department of Zoology, Government College University Lahore, Pakistan.
    • Assisted in research projects focusing on oxidative stress and nanoparticle applications.
    • Contributed to data collection, analysis, and manuscript preparation.

CONTRIBUTIONS AND RESEARCH FOCUS ON Neuroscience Data Analysis 🔬

Mr. Ullah’s research primarily revolves around the synthesis and application of nanoparticles, particularly silver nanoparticles, in biomedical contexts. His work includes:

  • Synthesis of Silver Nanoparticles: Utilized plant extracts like Sedum adenotrichum to create nanoparticles with potential antioxidant properties.
  • Biomedical Applications: Explored the effects of these nanoparticles on oxidative stress, hepatotoxicity, and other health parameters in animal models.

IMPACT AND INFLUENCE 🌍

Mr. Ullah’s research has contributed to the understanding of nanoparticle interactions in biological systems, offering insights that could lead to novel therapeutic approaches. His work supports the development of sustainable and biocompatible nanomaterials for medical applications.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Mr. Ullah has co-authored several peer-reviewed publications, including:

  1. “Synthesis of silver nanoparticles by Sedum adenotrichum extract and evaluating their antioxidant potential in albino mice.” International Journal of Drug Delivery Science and Technology, 2025.
  2. “Synthesis of silver nanoparticles and their use in the degradation of methylene blue dye and evaluation of in vitro antioxidant activity: a step toward sustainability.” International Journal of Environmental Science and Technology, 2024.
  3. “Allicin-capped silver nanoparticles (AgNPs): synthesis, profiling, antioxidant, and biomedical properties.” Nano Biomedicine and Engineering, 2024.

HONORS & AWARDS 🏆

  • National Endowment Scholarship for Talent (NEST) 2019-2020: Awarded for academic excellence.
  • Prime Minister’s Laptop Scheme under HEC (2016): Recognized for scholarly achievements.
  • Silver Medalist in BS Zoology: Achieved for outstanding academic performance.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As Mr. Ullah progresses in his Ph.D., his research is poised to make significant contributions to the fields of nanomedicine and environmental sustainability. His work may lead to innovative solutions for health challenges and promote eco-friendly practices in nanomaterial production.

FINAL NOTE ✨

Mr. Rehan Ullah exemplifies dedication to scientific research and academic excellence. His ongoing doctoral studies and previous work reflect a commitment to advancing knowledge in biomedical engineering and nanotechnology.

TOP NOTES PUBLICATION 📚

 Synthesis of silver nanoparticles by Sedum adenotrichum extract and evaluating their antioxidant potential in albino mice
  • Authors: R. Ullah, C. Tseng, A.U. Rahman, B.A. Khan, A. Ullah
    Journal: Journal of Drug Delivery Science and Technology
    Year: 2025

P. Chitra |Image Processing | Best Researcher Award

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P. Chitra |Image Processing | Best Researcher Award

Sathyabama Institute of Science and Technology | India

Author Profile

DR. P. CHITRA: ACADEMIC TRAILBLAZER IN ELECTRONICS AND ARTIFICIAL INTELLIGENCE ⚛️

📚 EARLY ACADEMIC PURSUITS

Dr. P. Chitra embarked on her academic journey with a strong foundation in Electronics and Communication Engineering. She earned her Bachelor’s degree (B.E-ECE) in 2002 from Noorul Islam College of Engineering, Kumaracoil, securing 73.55%. Furthering her education, she completed her Master’s in Applied Electronics (M.E) from Coimbatore Institute of Technology in 2004 with a commendable CGPA of 8.16. Her academic excellence continued with a Ph.D. in 2014 from Sathyabama University, Chennai, marking the beginning of a distinguished career in research and teaching.

🧪 PROFESSIONAL ENDEAVORS

With a career spanning over two decades, Dr. P. Chitra has been serving as an Assistant Professor at Sathyabama University, Chennai, since June 2004. Her dedication to academia and research has led her to significant contributions in artificial intelligence, medical image processing, and soft computing applications.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Machine Learning

Dr. Chitra’s research primarily focuses on:

  • Medical Image Processing – Developing AI-based diagnostic tools for diseases like PCOS and brain tumors.
  • Soft Computing and AI Algorithms – Enhancing diagnostic accuracy through deep learning models.
  • Wireless Communication and Embedded Systems – Innovating new methodologies for effective digital communication and image processing.
  • Biomedical Signal Processing – Improving healthcare diagnostics through automated detection techniques.

She has successfully led multiple funded research projects, including:

  • Development of Digitization Protocols and Image Processing for Radiographic Weld Images – Sponsored by Indira Gandhi Centre for Atomic Research (Rs. 5,32,000).
  • Detection of PCOS Using AI-Based Algorithms – Funded by the Department of Biotechnology (Rs. 21,99,432).

🌍 IMPACT AND INFLUENCE

Dr. P. Chitra has significantly contributed to research and education, mentoring students and scholars in cutting-edge technological advancements. Her innovative methodologies have influenced the development of AI-driven healthcare applications, improving diagnostic precision and medical imaging analysis.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Chitra has published extensively in high-impact international journals and conferences. Some of her notable publications include:

  • “Investigating MIMO Technology in Free Space Optical Communication Systems” – Results in Engineering (2025).
  • “Brain Tumor Detection Using MRI Images – A Comparative Study Based on Different Classifiers” – International Journal of Systematic Innovation (2024).
  • “Automated Detection of Polycystic Ovaries Using Pretrained Deep Learning Models” – AICERA/ICIS (2023).
  • “Lung Cancer Detection Using Classification Algorithms” – RAEEUCCI (2023).
  • “Automated MRI Brain Tumor Segmentation and Classification Based on Deep Learning Techniques” – ICAECT (2022).

Her research has been widely cited and recognized in the field of artificial intelligence and biomedical applications.

🏅 HONORS & AWARDS

  • Best Researcher Award for outstanding contributions to AI-based healthcare solutions.
  • Innovative Teaching Excellence Award for implementing advanced pedagogical techniques in engineering education.
  • AI and Medical Image Processing Recognition Award for significant research in automated disease detection.
  • Women in Engineering Leadership Award for promoting gender diversity and excellence in STEM.

🌐 LEGACY AND FUTURE CONTRIBUTIONS

With an impressive track record in academia and research, Dr. P. Chitra aims to expand her contributions further by:Developing AI-driven diagnostic tools for more accurate disease detection.Enhancing deep learning methodologies for medical imaging.Promoting interdisciplinary collaborations to merge AI with healthcare.Continuing to mentor students and drive innovation in biomedical AI applications.

🌠 FINAL NOTE

Dr. P. Chitra’s dedication to advancing artificial intelligence and medical image processing continues to inspire scholars and researchers globally. Her commitment to education, research, and technological innovation has left a lasting impact on the field of electronics and biomedical applications.

📑 NOTABLE PUBLICATIONS 

Investigating MIMO technology in free space optical communication systems for evaluating performance across various environment parameters
  • Authors: Challapalli, R., Chitra, P.
    Journal: Results in Engineering
    Year: 2025
Brain tumor detection using MRI images- a comparative study based on different classifiers
  • Authors: Puligurti, S.R., Chitra, P., Bharadwaj, A.V.S.
    Journal: International Journal of Systematic Innovation
    Year: 2024
Classification of Microglial cells using Deep learning techniques
  • Authors: Chitra, P., Beryl Vedha, Y., Johnson Retnaraj Samuel, S., Rohan, S., Nandha Kishore, C.S.
    Conference: Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024
    Year: 2024
Brain Tumor Detection- ISM Band SAR Reduction Analysis Using Microstrip Patch Antenna
  • Authors: Sheeba, I.R., Jegan, G., Jayasudha, F.V., Chitra, P., Sanju, I.M.S.
    Conference: Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024
    Year: 2024
Designing a Wearable Antenna For Telemedicine Applications
  • Authors: Jayasudha, F.V., Sheeba, I.R., Srilatha, K., Sanju, I.M.S., Chitra, P.
    Conference: Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024
    Year: 2024
Study and implementation of automated system for detection of PCOS from ultrasound scan images using artificial intelligence
  • Authors: Sumathi, M., Chitra, P., Sheela, S., Ishwarya, C.
    Journal: Imaging Science Journal
    Year: 2024

 

Pushpa-Medical Image Processing, Biomedical Engineering-Best Researcher Award

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Author Profile

Google Scholar

Early Academic Pursuits

Mrs. Pushpa B embarked on her academic journey with a Bachelor's in Electronics and Instrumentation from St. Peter’s Engineering College, affiliated with Anna University, in 2007. Her dedication to the field was evident as she secured a commendable 73%. Building upon this foundation, she pursued an M.Tech in Electronics and Control from SRM University, Chennai, where she achieved a CGPA of 6.99 in 2010. The continuous academic excellence led her to undertake an MBA in Health Service Management from Anna University in 2023. Currently, she is on the verge of completing her Ph.D. in Medical Image Processing & Artificial Intelligence from Annamalai University, with her thesis submitted.

Professional Endeavors

With an illustrious academic background, Mrs. Pushpa B transitioned into academia, where she has made significant contributions. She held the position of Assistant Professor in various esteemed institutions such as B.S. Abdur Rahman Crescent Institute of Science and Technology and Velammal Institute of Technology. During her tenure, she shouldered numerous responsibilities, including curriculum development, university department audit coordination, and acting as a placement coordinator.

Contributions and Research Focus

Mrs. Pushpa B's expertise spans across diverse fields, including Analog Electronic Circuits, Digital Signal Processing, Machine Learning, and more. Her research primarily revolves around Medical Image Processing, Artificial Intelligence, and Bio-medical Instrumentation. Notably, she has undertaken projects like "Detection of Startle Type Epilepsy using Machine Learning Technique" at Global Medical Hospital, Chennai. Her research is widely recognized, with numerous international and national publications and conference presentations to her credit.

Accolades and Recognition

Mrs. Pushpa B's contributions to the academic and research communities have garnered her several accolades. She has published patents, notably one on "Intelligent estimation of liver fat and its stages by using DICOM." Furthermore, her publications in renowned journals like Technology and Health Care and Measurement Sensors, among others, testify to her expertise and recognition in her field.

Impact and Influence

Mrs. Pushpa B's influence extends beyond her academic and research endeavors. She has organized workshops, training programs, and conferences that have facilitated knowledge dissemination and skill enhancement for students, faculty, and industry professionals alike. Her expertise as a reviewer for esteemed platforms like Taylor & FrancisOnline, Elsevier, and IEEE Xplore further amplifies her impact in the scholarly community.

Legacy and Future Contributions

As a dedicated academician and researcher, Mrs. Pushpa B's legacy is marked by her commitment to advancing knowledge in her specialized domains. Her future contributions are anticipated to further bridge the gap between technology and healthcare, particularly in leveraging AI and machine learning techniques for enhanced medical diagnostics and treatments. With her relentless pursuit of excellence, she is poised to inspire future generations of researchers and academicians in the realms of Medical Image Processing and Artificial Intelligence.

In conclusion, Mrs. Pushpa B's academic pursuits, professional endeavors, and contributions to the field of Medical Image Processing and Artificial Intelligence stand as a testament to her passion, expertise, and commitment. Her multifaceted accomplishments underscore her potential to drive significant advancements and make lasting contributions to academia and healthcare.

NOTABLE PUBLICATION