Tariq Hussai | Neuroinformatics | Research Excellence Award

Mr. Tariq Hussai | Neuroinformatics | Research Excellence Award

Mr. Tariq Hussain | Zhejiang Gongshang University | Pakistan

He is a PhD scholar in Big Data and Statistics at Zhejiang Gongshang University, Hangzhou, with a strong academic foundation in information technology, computer networks, and electrical technology earned from leading institutions in China and Pakistan. His educational background spans a PhD in Big Data and Statistics, an MS in Information Technology with specialization in Computer Networks, a BS in Information Technology, a Diploma of Associate Engineering in Electrical Technology, and secondary education in science with core training in biology, chemistry, mathematics, physics, and English. His research interests focus on Internet of Things, artificial intelligence, big data analytics, 3D point cloud processing, and LiDAR point cloud compression and transmission, addressing both theoretical and applied challenges in intelligent sensing and large-scale data systems. He has established a strong publication record with 58 total articles, including 26 in SCIE/SCI journals and 7 in JCR top 10% journals, along with multiple conference papers and manuscripts under review. His scholarly impact is reflected in 1,735 citations across 1,016 citing documents, an h-index of 20, an i10-index of 28, and approximately 50 indexed research documents, demonstrating sustained contributions and influence in data science, intelligent systems, and advanced sensing technologies.

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Featured Publications

Jie Xia | Neuroinformatics | Research Excellence Award

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.

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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.