Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

China University of Mining and Technology | China

Mr. Xu Chenglong, born in Weifang, Shandong, is currently pursuing his master’s degree in information and communication engineering at the China university of mining and technology, with an expected graduation. His research interests focus on computer vision, particularly human behaviour recognition, human pose estimation, and video understanding. He has developed strong foundations in artificial intelligence, machine learning, computer science and technology, digital image processing, graph theory, matrix theory, and probability theory. During his postgraduate studies, he has contributed to forty-four sci papers, including one published at a top-tier ccf a-level ai conference and several under review in cas q1 and q2 journals. He demonstrates excellent english proficiency, independent scientific research ability, and programming skills, especially in python. Previously, he completed his undergraduate studies in communication engineering at the shandong university of science and technology, where he earned multiple scholarships and competition honours. His scholarly impact includes 10 documents, 2 documents, and an h-index of 1.

Profile: Scopus

Dr. Dhruv Sharma | Deep Learning | Best Researcher Award

Amity University | India

Dr. Dhruv Sharma is an assistant professor at the Amity Centre for artificial intelligence, Amity university, noida, uttar pradesh, india. He earned his Ph.d. in electronics and communication engineering from Delhi technological university (dtu), specializing in machine learning, computer vision, and multimodal ai. his academic and research journey reflects a deep commitment to advancing artificial intelligence through innovative methodologies in signal processing, natural language processing, and deep-learning architectures. With a total of 7 publications in reputed sci and scopus-indexed journals, dr. sharma has made impactful contributions to the fields of intelligent perception and vision-language fusion. his research on multimodal radiology report generation, conducted in collaboration with the rajiv gandhi cancer institute and research centre, exemplifies his interdisciplinary approach to real-world problem-solving, Deep Learning . his scholarly influence is evidenced by 109 citations, an h-index of 6, and an i10-index of 3, demonstrating consistent research quality and impact. He has also published one patent and actively serves as a reviewer for leading ieee, elsevier, and springer journals. Dr. Sharma has been honored with the commendable research award and the premier research award from dtu, recognizing his excellence in artificial intelligence research and innovation.

Profiles: Orcid | Google Scholar

Featured Publications

Sharma, D., Dhiman, C., & Kumar, D. (2025, October). UnMA-CapSumT: Unified and multi-head attention-driven caption summarization transformer. Journal of Visual Communication and Image Representation.

Sharma, D., Dhiman, C., & Kumar, D. (2024, July). FDT−Dr2T: A unified Dense Radiology Report Generation Transformer framework for X-ray images. Machine Vision and Applications.

Sharma, D., Dhiman, C., & Kumar, D. (2024, May 30). Control with style: Style embedding-based variational autoencoder for controlled stylized caption generation framework. IEEE Transactions on Cognitive and Developmental Systems.

Rautela, K., Sharma, D., Kumar, V., & Kumar, D. (2024, January). Obscenity detection transformer for detecting inappropriate contents from videos. Multimedia Tools and Applications.

Sharma, D., Dhiman, C., & Kumar, D. (2024, January). XGL-T transformer model for intelligent image captioning. Multimedia Tools and Applications.

Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

Featured Publication