Emerging Diagnostic Glucose Sensing Approaches

Abhishek Kandwal (Senior Member, IEEE) is presently working as an Associate Professor in the School of CHIPS at Xi'an Jiaotong Liverpool University and is Honorary Associate at University of Liverpool, UK. He is Listed in World Top 2% Scientist List of Stanford and Elsevier, 2025. Earlier, he received his Ph.D in Physics (Electromagnetic Waves) in 2014. He has over 14-years of research/teaching experience from some of the world top universities and research organizations. He has authored over 150-international research publications and filed/granted more than 10-national/international Patents. He served as Associate Editor for IEEE Access Journal (2019-22). Presently he is Associate Editor for Journal of King Saud University - Eng. Sci, Springer (2024-continue), special Issue Editor of various journals in Elsevier, Springer, Wiley (2023-continue), Editorial Board Member of Nature: Scientific Reports Journal (2024-continue), Editorial Board Member of Discover Materials and Discover Sensors, Springer (2024-continue) Prof. Zedong Nie is Professor and Doctoral supervisor in the Biomedical and Health Engineering department at Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (SIAT-CAS), China. Dr. Nie has expertise in human body communication and wearable health technology. His research interest includes noninvasive blood glucose monitoring, wearable sensors, communication system and protocol, biometric verification, and AI/machine learning. He's won several Research achievement awards, has applied for more than 60 invention patents and 7 PCT patents with 33 invention patents that have been authorized and more than 70 SCI/Scopus papers have been published. He is the evaluation expert of National Natural Science Foundation of China and Guangdong provincial science and technology department, and the reviewer of several reputed IEEE Journals. He won the honor of innovation and entrepreneurial talent of Shenzhen. He has several national level funding grants for Glucose monitoring and human body communications. Dr. Rohit Jasrotia is currently a Postdoctoral Fellow at the College of Chemistry and Molecular Science, Henan University, Kaifeng, Henan, PR China. He previously served as a Research Fellow and Assistant Professor at the Himalayan Centre of Excellence, Shoolini University, Solan, India. Dr. Jasrotia has published more than 135 research articles in reputed international journals, with over 4,100 citations and an h-index of 39. He has edited several scholarly books indexed in Elsevier databases and has been recognized among the Top 2% Scientists worldwide by Stanford University in collaboration with Elsevier. He has also served as a Special Issue Managing Editor for various journals published by Elsevier and Springer.

• 1. Diabetes, Glucose sensing, Requirements, Challenges and Techniques2. Current Progress in RF sensing for Glucose monitoring3. Electromagnetics wave Sensors: Design, Fabrication, and Development4. Testing methods: Invitro and Invivo5. Physiological Technique: Method, Need and Advantages6. Prediction of prediabetes: Artificial neural networking7. Spatiotemporal ECG and EEG feature analysis8. Bioimpedance based approach9. Convolutional neural networking: Mult segments fusion and Varied weight10. Portable and noninvasive blood glucose monitoring11. Role of Surface waves and Goubau line12. Statistical and spectral analysis of ECG signal13. Deep learning intervention for health care challenges14. Sensing and control: Future and Vision