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.

Citation Metrics (Scopus)

2000
1500
1000
500
0

Citations
1125

Documents
50

h-index
16

Citations

Documents

h-index


View Scopus Profile
View Orcid Profile

Featured Publications

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

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.