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 Profile 

Scopus

Educational Background 🎓

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

  • M.S. in Mechanical Engineering
    Tianjin University (2017 – 2019)

  • B.S. in Mechanical Engineering
    Tianjin University (2013 – 2017)

Professional Experience 💼

  • Assistant Researcher
    School of Mechanical Engineering, Tianjin University
    July 2023 – Present

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

Research Interests 🔬

  • 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.

Conclusion🌟

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 📚

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


  • 💉 Needle Insertion Deflection Modeling
    Jiang S., Gao Y., Yang Z., Li Y., Zhou Z.
    Prediction of Needle Insertion Deflection in Soft Tissue Based on Cutting Force
    📘 Computer Methods in Biomechanics and Biomedical Engineering, 2024
    🔗 DOI: 10.1080/10255842.2024.2386326


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


  • 🤖 High-Dimensional Motion Modeling
    Zhou Z., Jiang S., Yang Z., Zhou N., Ma S., Li Y.
    Machine Learning-Based High-Dimensional Respiratory Motion Modeling
    📘 Expert Systems with Applications, 2024, 242: 122757


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


  • 🧠 AR for Glioma Resection
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    Augmented Reality Surgical Navigation System with Spatial Drift Compensation
    📘 Medical Physics, 2022, 49(6): 3963–3979


  • 🧩 Mixed Reality in Hemorrhage Surgery
    Zhou Z., Yang Z., Jiang S., Zhuo J., Li Y., Zhu T.
    Validation of MR-based Navigation System for Hypertensive Intracerebral Hemorrhage
    📘 Virtual Reality, 2023, 27(3): 2059–2071


  • 🧬 Multimodal Image Navigation
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S., Li Y.
    Navigation System for Neurosurgery Based on Mixed Reality
    📘 Visual Informatics, 2023, 7(2): 64–71


  • 🧠 MR Surgical Navigation for Hemorrhage
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    Surgical Navigation for Intracerebral Hemorrhage Using Mixed Reality
    📘 Journal of Digital Imaging, 2022, 35(6): 1530–1543


  • 🎯 Brachytherapy Planning with DVH
    Zhou Z., Yang Z., Jiang S., Yu X., Qi E., Li Y., Zhu T.
    DVH-Based Inverse Planning for LDR Pancreatic Brachytherapy
    📘 International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022, 17(3): 609–615


  • 📐 Stereo Registration in Brachytherapy
    Zhou Z., Jiang S., Yang Z., Xu B., Jiang B.
    Mixed Reality Surgical Navigation Using Novel Stereo Registration for Brachytherapy
    📘 Virtual Reality, 2021, 25(4): 975–984


 

 

 

 

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 Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Image ProcessingPursuing, Anna University

  • M.E. in Communication and Networking – Ganadipathy Tulsi’s Jain Engineering College, 1st Class, CGPA: 7.9/10, Year: 2015

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

  • HSC – TMKV Govt. Hr. Sec. School, 75%, Year: 2009

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

Professional Experience 💼

  • Assistant Professor, Rajalakshmi Engineering College, Chennai
    Sep 16, 2022 – Present

  • Assistant Professor, Loyola Institute of Technology, Chennai
    June 26, 2018 – Sep 17, 2022

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

Research Interests 🔬

  • Image Processing and Deep Learning

  • Medical Image Analysis (e.g., Alzheimer’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 Honors🏆✨

  • Reviewer Appointment: International Journal of Medical Imaging (IJMI) (2023–2026)

  • Best Faculty Award: Awarded by Technical Forum Research Foundation

Conclusion🌟

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 📚

  1. 🧬 A Novel CNN Architecture: Comprehensive Approach to Alzheimer’s disease classification
    📝 Journal of Medical Imaging (Under Review)
    👩‍💻 Indhumathi G, Palanivelan M


  2. 🧠 Alzheimer’s disease classification using Hybrid loss Psi-Net Segmentation and a New Hybrid Network Model
    📘 Journal of Computational Biology and Chemistry (Impact Factor: 2.6)
    👩‍💻 Indhumathi G, Palanivelan M


  3. 🧠 Comparative Analysis of Machine Learning Algorithms on Prediction of Alzheimer from MRI
    📍 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
    👩‍💻 Indhumathi G, Palanivelan M, Senthil Kumar A, Sairam V A


  4. 🧠 A Non-invasive method to detect and classify Alzheimer’s disease
    📍 3rd Int. Conf. on Deep Sciences for Computing and Communications, SRM IST
    👩‍💻 Indhumathi G, Palanivelan M, Saranya G


  5. 🌱 Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
    📍 2nd Int. Conf. on Data Science and Information System (ICDSIS), May 2024
    👨‍🔬 M Balamurugan et al., including G Indhumathi


  6. 🐟 Intelligent Aquaponics using IoT
    📘 IT in Industry, Vol. 9 No. 2 (2021), Impact Factor: 0.043
    👩‍💻 Indhumathi G


  7. 🚨 Smart Accident Detection and Helmet Detection – Emergency Alert System
    📍 IEEE Int. Conf. ACCAI 2024, St. Joseph College of Engineering
    👩‍💻 Saranya G, Indhumathi G, et al.


  8. 🔍 Automated Intracranial Hemorrhage Detection Using Deep Learning
    📍 ICDSNS, July 2024
    👩‍💻 Naresh Kumar Kar et al., including Indhumathi G


  9. 🚑 Critical Healthcare Monitoring and secure data sharing using AES Encryption and IoT
    📘 Turkish Journal of Physiotherapy and Rehabilitation, Vol 32(3), Impact Factor: 0.4
    👩‍💻 Indhumathi G


  10. 🧯 Laboratory Safety System using IoT
    📘 Psychology and Education, Vol. 57 (2020), Impact Factor: 0.0083
    👩‍💻 Indhumathi G