Jie Xia | Neuroinformatics | Research Excellence Award

Published on by Neuroscientists

Ms. Jie Xia | Neuroinformatics | Research Excellence Award

Ms. Jie Xia | Zhejiang university | China

Jie Xia is a researcher in electronic science and technology whose work focuses on brain imaging, biomedical signal processing, and micro–nano sensing systems. She is pursuing advanced training at Zhejiang University, where her studies integrate artificial intelligence–guided learning with next-generation sensing and detection technologies. Her academic background in automation and electronic engineering provides a strong foundation in circuits, digital logic, and signal analysis. Xia’s research experience includes serving as an algorithm engineer at the Institute of Optoelectronics at Westlake University, where she contributed to the development of a non-invasive photoelectric multimodal brain imaging system. In this role, she designed and optimized algorithms for near-infrared functional brain imaging and developed computational methods to quantify changes in oxygenated and deoxygenated hemoglobin, supporting real-time monitoring of cerebral activity. Her research contributions span neuroimaging technology, optical sensing, and computational modeling, with growing impact in the field. She has produced multiple scholarly outputs, reflected in 67 citations, 65 documents, an h-index of 5, and an i10-index of 3, demonstrating consistent influence and early-career productivity. Xia continues to develop interdisciplinary methods that bridge engineering and neuroscience, aiming to advance non-invasive brain monitoring technologies and their translational applications.

Profile: Google Scholar

Featured Publications

Zhang, F., Zhang, L., Xia, J., Zhao, W., Dong, S., Ye, Z., Pan, G., Luo, J., & Zhang, S. (2023). Multimodal electrocorticogram active electrode array based on zinc oxide‐thin film transistors. Advanced Science, 10(2), 2204467.

Zhou, P., Bai, C., Xia, J., & Chen, S. (2020). CMRDF: A real-time food alerting system based on multimodal data. IEEE Internet of Things Journal, 9(9), 6335–6349.

Li, B., Li, M., Xia, J., Jin, H., Dong, S., & Luo, J. (2024). Hybrid integrated wearable patch for brain EEG-fNIRS monitoring. Sensors, 24(15), 4847.

Wang, S., Yang, L., Jiang, H., Xia, J., Li, W., Zhang, Z., Zhang, S., Jin, H., Luo, J., … (2023). Multifunctional evaluation technology for diagnosing malfunctions of regional pelvic floor muscles based on stretchable electrode array probe. Diagnostics, 13(6), 1158.

Zhou, P., Bai, C., & Xia, J. (2019). ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task. CLEF (Working Notes), 11.

Xia, J., Zhang, F., Zhang, L., Cao, Z., Dong, S., Zhang, S., Luo, J., & Zhou, G. (2024). Magnetically compatible brain electrode arrays based on single-walled carbon nanotubes for long-term implantation. Nanomaterials, 14(3), 240.

Zhou, P., Xia, J., Peng, X., Zhao, W., Ye, Z., Li, Z., Yang, S., Pan, J., Chen, Y., … (2025). Neural-driven image editing. NeurIPS 2025.

Pan, J., Xia, J., Zhang, F., Zhang, L., Zhang, S., Pan, G., & Dong, S. (2023). 7T magnetic compatible multimodality electrophysiological signal recording system. Electronics, 12(17), 3648.

Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award

Published on by Neuroscientists

Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award 

Dr.A. Jayanthila Devi | Adichunchinagiri university | India

Dr. A. Jayanthiladevi is a distinguished academic and researcher in Computer Science and Engineering, currently serving as a Professor at the Department of Computer Science and Engineering, BGSIT, Adichunchanagiri University, Karnataka, India. She has completed two Post-Doctoral Research Fellowships, one at the Center of Artificial Intelligence, Amity University Dubai, and another at Srinivas University under the mentorship of leading experts in artificial intelligence and enterprise systems. She holds a Ph.D. in Computer Applications from Anna University, where her doctoral work proposed an efficient spectrum utilization and retransmission rerouting mechanism in Mobile IP. Her academic background further includes advanced qualifications in intellectual property law and computer applications. Dr. Jayanthiladevi has extensive professional experience as Professor, Assistant Professor, Director of Post-Doctoral Fellowship Programmes, and collaborator for industry–academia research initiatives across various reputed institutions. Her research contributions span artificial intelligence, wireless networks, spectrum mobility, and cybersecurity. She has authored numerous publications with a citation count of 639 and 569 across platforms, an h-index of 13 and 12, and an i10-index of 15 and 14, reflecting her strong scholarly impact. With strong research leadership and collaborative expertise, she continues to contribute significantly to high-quality publications, patents, and international research advancements.

Profile: Google Scholar

Featured Publications

Priya, S. S., Sivaram, M., Yuvaraj, D., & Jayanthiladevi, A. (2020). Machine learning based DDoS detection. In 2020 International Conference on Emerging Smart Computing and Informatics.

Balamurugan, E., Flaih, L. R., Yuvaraj, D., Sangeetha, K., & Jayanthiladevi, A. (2019). Use case of artificial intelligence in machine learning manufacturing 4.0. In 2019 International Conference on Computational Intelligence and Knowledge.

Nagarajan, G., Minu, R. I., & Jayanthila Devi, A. (2020). Optimal nonparametric Bayesian model-based multimodal BoVW creation using multilayer pLSA. Circuits, Systems, and Signal Processing, 39(2), 1123–1132.

Nagarajan, G., Minu, R. I., & Jayanthiladevi, A. (2019). Brain computer interface for smart hardware device. International Journal of RF Technologies, 10(3–4), 131–139.

Jayanthiladevi, A., Raj, A. G., Narmadha, R., Chandran, S., Shaju, S., & Prasad, K. K. (2020). AI in video analysis, production and streaming delivery. Journal of Physics: Conference Series, 1712(1), 012014.

Sakthivel, K., Jayanthiladevi, A., & Kavitha, C. (2016). Automatic detection of lung cancer nodules by employing intelligent fuzzy c-means and support vector machine. Biomedical Research–India, 27, S123–S127.

Ranjeeth, S., Latchoumi, T. P., Sivaram, M., Jayanthiladevi, A., & Kumar, T. S. (2019). Predicting student performance with ANNQ3H: A case study in secondary education. In 2019 International Conference on Computational Intelligence and Knowledge.

Minu, R., Nagarajan, G., Suresh, A., & Devi, J. A. (2016). Cognitive computational semantic for high resolution image interpretation using artificial neural network. Biomedical Research–India, 27, S306–S309.

Mishra, P., Jimmy, L., Ogunmola, G. A., Phu, T. V., Jayanthiladevi, A., et al. (2020). Hydroponics cultivation using real time IoT measurement system. Journal of Physics: Conference Series, 1712(1), 012040.

Latchoumi, T. P., Vasanth, A. V., Bhavya, B., Viswanadapalli, A., & Jayanthiladevi, A. (2020). QoS parameters for comparison and performance evaluation of reactive protocols. In 2020 International Conference on Computational Intelligence for Smart Power.

Arunkarthikeyan, K., Balamurugan, K., Nithya, M., & Jayanthiladevi, A. (2019). Study on deep cryogenic treated-tempered WC–CO insert in turning of AISI 1040 steel. In 2019 International Conference on Computational Intelligence and Knowledge.