Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Dr. Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Assistant Researcher at Tianjin University, China

Dr. Zeyang Zhou is a rising scholar in the field of intelligent surgical technologies, currently serving as an Assistant Researcher at the School of Mechanical Engineering, Tianjin University, China. His work bridges advanced engineering with clinical applications, focusing on developing smart surgical navigation systems, mixed reality (MR)/virtual reality (VR)-aided precision surgery, and intelligent medical image processing. With numerous high-quality publications in international journals, Dr. Zhou has made impactful contributions to neurosurgery, brachytherapy, and interventional procedure planning through innovative imaging and modeling techniques.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Mechanical Engineering
    Tianjin University (2023 โ€“ Present)
    With Visiting Research Experience at University of Cambridge, UK

  • M.S. in Mechanical Engineering
    Tianjin University (2017 โ€“ 2019)

  • B.S. in Mechanical Engineering
    Tianjin University (2013 โ€“ 2017)

Professional Experience ๐Ÿ’ผ

  • Assistant Researcher
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present

  • Postdoctoral Research Fellow
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present (Note: The dates overlap; this may indicate a dual appointment or transition)

Research Interests ๐Ÿ”ฌ

  • Surgical navigation systems

  • Mixed reality (MR) and virtual reality (VR) in precision and minimally invasive surgery

  • Medical robotics, especially for minimally invasive procedures

  • Intelligent medical image processing and modeling

  • Machine learning applications in surgical planning and guidance

  • Real-time motion modeling in clinical environments

Selected Contributions and Highlights

  • Developed and validated multiple MR-based surgical navigation systems for glioma resection, intracerebral hemorrhage, and brachytherapy.

  • Proposed novel stereo registration methods and machine learning models for respiratory motion compensation and needle insertion planning.

  • Published in reputable journals such as Medical Physics, Computers in Biology and Medicine, Virtual Reality, and Journal of Digital Imaging.

  • Pioneered VR-based surgical simulation systems and compared different immersive environments (e.g., zSpace vs. Vive).

  • Co-authored more than 11 peer-reviewed international publications from 2021 to 2024, reflecting a strong research trajectory.

Conclusion๐ŸŒŸ

Dr. Zeyang Zhou exemplifies an innovative and interdisciplinary researcher at the forefront of surgical engineering. His work in merging real-time imaging, machine learning, and immersive technologies is reshaping precision medicine and intelligent surgery. With a robust academic foundation, growing international collaborations, and a compelling record of publications, Dr. Zhou is well-positioned for continued academic and translational success. Further recognition through national or international awards would be both merited and strategically valuable to support the expansion of his research impact.

Publications ๐Ÿ“š

  • ๐Ÿง  Brain Tumor Resection Segmentation
    Li Y., Jiang S., Yang Z., Wang L., Liu Z., Zhou Z.
    โžค Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semi-supervised Cross nnSU-Net
    ๐Ÿ“˜ International Journal of Imaging Systems and Technology, 2024


  • ๐Ÿ’‰ Needle Insertion Deflection Modeling
    Jiang S., Gao Y., Yang Z., Li Y., Zhou Z.
    โžค Prediction of Needle Insertion Deflection in Soft Tissue Based on Cutting Force
    ๐Ÿ“˜ Computer Methods in Biomechanics and Biomedical Engineering, 2024
    ๐Ÿ”— DOI: 10.1080/10255842.2024.2386326


  • ๐Ÿซ Respiratory Motion Modeling via Neural Network
    Jiang S., Li B., Yang Z., Li Y., Zhou Z.
    โžค A Back Propagation Neural Network-Based Respiratory Motion Modelling Method
    ๐Ÿ“˜ International Journal of Medical Robotics and Computer Assisted Surgery, 2024, 20(3): e2647


  • ๐Ÿค– High-Dimensional Motion Modeling
    Zhou Z., Jiang S., Yang Z., Zhou N., Ma S., Li Y.
    โžค Machine Learning-Based High-Dimensional Respiratory Motion Modeling
    ๐Ÿ“˜ Expert Systems with Applications, 2024, 242: 122757


  • ๐ŸŽฎ VR Simulation for Needle Insertion
    Zhou Z., Yang Z., Jiang S., Jiang B., Xu B., Zhu T., Ma S.
    โžค Personalized VR Training System for Percutaneous Needle Insertion: zSpace vs. Vive
    ๐Ÿ“˜ Computers in Biology and Medicine, 2022, 146: 105585


  • ๐Ÿง  AR for Glioma Resection
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Augmented Reality Surgical Navigation System with Spatial Drift Compensation
    ๐Ÿ“˜ Medical Physics, 2022, 49(6): 3963โ€“3979


  • ๐Ÿงฉ Mixed Reality in Hemorrhage Surgery
    Zhou Z., Yang Z., Jiang S., Zhuo J., Li Y., Zhu T.
    โžค Validation of MR-based Navigation System for Hypertensive Intracerebral Hemorrhage
    ๐Ÿ“˜ Virtual Reality, 2023, 27(3): 2059โ€“2071


  • ๐Ÿงฌ Multimodal Image Navigation
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S., Li Y.
    โžค Navigation System for Neurosurgery Based on Mixed Reality
    ๐Ÿ“˜ Visual Informatics, 2023, 7(2): 64โ€“71


  • ๐Ÿง  MR Surgical Navigation for Hemorrhage
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Surgical Navigation for Intracerebral Hemorrhage Using Mixed Reality
    ๐Ÿ“˜ Journal of Digital Imaging, 2022, 35(6): 1530โ€“1543


  • ๐ŸŽฏ Brachytherapy Planning with DVH
    Zhou Z., Yang Z., Jiang S., Yu X., Qi E., Li Y., Zhu T.
    โžค DVH-Based Inverse Planning for LDR Pancreatic Brachytherapy
    ๐Ÿ“˜ International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022, 17(3): 609โ€“615


  • ๐Ÿ“ Stereo Registration in Brachytherapy
    Zhou Z., Jiang S., Yang Z., Xu B., Jiang B.
    โžค Mixed Reality Surgical Navigation Using Novel Stereo Registration for Brachytherapy
    ๐Ÿ“˜ Virtual Reality, 2021, 25(4): 975โ€“984


 

 

 

 

Indhumathi G | Biomedical Image Processing | Best Researcher Award

Ms. Indhumathi G | Biomedical Image Processing | Best Researcher Award

Assistant Professor at Rajalakshmi Engineering College, India

Indhumathi G is a dedicated academic and researcher currently serving as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Rajalakshmi Engineering College, Chennai. With a strong background in communication and networking, she is pursuing a Ph.D. in Image Processing at Anna University. Her academic journey and professional career span several reputed institutions, during which she has contributed significantly to teaching, consultancy, and innovative research. She has co-authored numerous research papers, filed patents, and secured funding for industry projects. Her recent work emphasizes the application of deep learning and IoT in healthcare, agriculture, and automation.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Image Processing โ€“ Pursuing, Anna University

  • M.E. in Communication and Networking โ€“ Ganadipathy Tulsiโ€™s Jain Engineering College, 1st Class, CGPA: 7.9/10, Year: 2015

  • B.E. in Electronics and Communication Engineering โ€“ Ranippettai Engineering College, 1st Class, CGPA: 8/10, Year: 2013

  • HSC โ€“ TMKV Govt. Hr. Sec. School, 75%, Year: 2009

  • SSLC โ€“ Auxilium Girls Hr. Sec. School, 80%, Year: 2007
    (No history of arrears)

Professional Experience ๐Ÿ’ผ

  • Assistant Professor, Rajalakshmi Engineering College, Chennai
    Sep 16, 2022 โ€“ Present

  • Assistant Professor, Loyola Institute of Technology, Chennai
    June 26, 2018 โ€“ Sep 17, 2022

  • Assistant Professor, Sree Krishna College of Engineering, Anaicut, Vellore
    June 1, 2015 โ€“ June 23, 2018

Research Interests ๐Ÿ”ฌ

  • Image Processing and Deep Learning

  • Medical Image Analysis (e.g., Alzheimerโ€™s Disease Detection)

  • IoT Applications in Healthcare and Agriculture

  • AI for Accident Prediction and Monitoring Systems

  • Smart Supply Chain and Automation Systems

  • Wireless Sensor Networks and Optimization Algorithms

  • Federated Learning in Smart Cities

Awards and Honors๐Ÿ†โœจ

  • Reviewer Appointment: International Journal of Medical Imaging (IJMI) (2023โ€“2026)

  • Best Faculty Award: Awarded by Technical Forum Research Foundation

Conclusion๐ŸŒŸ

Indhumathi G is a proactive and forward-thinking academic professional with a strong inclination toward research and innovation. Her expertise spans across AI, IoT, and image processing, with tangible contributions to real-world problems through consultancy, funded projects, and patent filings. Her blend of academic excellence, industry collaboration, and innovative thinking positions her as a valuable contributor in the field of Electronics and Communication Engineering.

Publications ๐Ÿ“š

  1. ๐Ÿงฌ A Novel CNN Architecture: Comprehensive Approach to Alzheimerโ€™s disease classification
    ๐Ÿ“ Journal of Medical Imaging (Under Review)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M


  2. ๐Ÿง  Alzheimerโ€™s disease classification using Hybrid loss Psi-Net Segmentation and a New Hybrid Network Model
    ๐Ÿ“˜ Journal of Computational Biology and Chemistry (Impact Factor: 2.6)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M


  3. ๐Ÿง  Comparative Analysis of Machine Learning Algorithms on Prediction of Alzheimer from MRI
    ๐Ÿ“ 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M, Senthil Kumar A, Sairam V A


  4. ๐Ÿง  A Non-invasive method to detect and classify Alzheimer’s disease
    ๐Ÿ“ 3rd Int. Conf. on Deep Sciences for Computing and Communications, SRM IST
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M, Saranya G


  5. ๐ŸŒฑ Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
    ๐Ÿ“ 2nd Int. Conf. on Data Science and Information System (ICDSIS), May 2024
    ๐Ÿ‘จโ€๐Ÿ”ฌ M Balamurugan et al., including G Indhumathi


  6. ๐ŸŸ Intelligent Aquaponics using IoT
    ๐Ÿ“˜ IT in Industry, Vol. 9 No. 2 (2021), Impact Factor: 0.043
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G


  7. ๐Ÿšจ Smart Accident Detection and Helmet Detection โ€“ Emergency Alert System
    ๐Ÿ“ IEEE Int. Conf. ACCAI 2024, St. Joseph College of Engineering
    ๐Ÿ‘ฉโ€๐Ÿ’ป Saranya G, Indhumathi G, et al.


  8. ๐Ÿ” Automated Intracranial Hemorrhage Detection Using Deep Learning
    ๐Ÿ“ ICDSNS, July 2024
    ๐Ÿ‘ฉโ€๐Ÿ’ป Naresh Kumar Kar et al., including Indhumathi G


  9. ๐Ÿš‘ Critical Healthcare Monitoring and secure data sharing using AES Encryption and IoT
    ๐Ÿ“˜ Turkish Journal of Physiotherapy and Rehabilitation, Vol 32(3), Impact Factor: 0.4
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G


  10. ๐Ÿงฏ Laboratory Safety System using IoT
    ๐Ÿ“˜ Psychology and Education, Vol. 57 (2020), Impact Factor: 0.0083
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G