Dr. Dhruv Sharma | Deep Learning | Best Researcher Award

Published on by Robotics and Automation

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.

Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

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Assoc. Prof. Dr. Gokhan Guven | Robotics | Best Researcher Award

Mugla Sitki Kocman University | Turkey

Dr. Gokhan Guven is a Ph.D. Candidate in the department of curriculum and instruction at Mugla Sitki Kocman University, turkey, specializing in science education under the supervision of dr. yusuf sulun. he earned his bachelor’s degree in elementary science education from pamukkale university and completed his master’s in science education at mugla sitki kocman university, where his thesis focused on preservice elementary teachers’ reflection journal writing and epistemological beliefs in science and technology laboratory applications. Currently pursuing his doctoral studies in science education, dr. guven’s research interests include energy education, science teacher education, and science laboratory applications. throughout his academic career, he has served as a teaching assistant in various laboratory-based courses, including general biology, general physics, Robotics and general chemistry, contributing significantly to hands-on science instruction and pedagogy. his scholarly contributions have garnered 179 citations across 12 documents, with an h-index of 7, reflecting the impact and recognition of his research within the scientific and educational community. fluent in both english and turkish, Dr. guven continues to advance his research and academic pursuits, focusing on enhancing the quality and effectiveness of science education at both theoretical and practical levels.

Profiles: Scopus | Orcid

Featured Publications

Güven, G., Orhan Özen, S., & Şarlakkaya, K. (2025). Virtual reality applications integrated into the 5E learning model in environmental topics in science education. Research in Science & Technological Education. Advance online publication.

Kozcu Cakir, N., & Guven, G. (2025). Enhancing engineering design, scientific creativity, and decision-making skills in prospective science teachers through engineering design-based robotics coding applications. Research in Science & Technological Education. Advance online publication.

Güven, G., & ÖzüneL, Y. (2023). Arduino destekli robotik kodlama etkinlikleri ile ilkokul 2. sınıf doğal afetler konusunun öğretimi. Ege Bilimsel Araştırmalar Dergisi.

Güven, G., & Göçen Kabaran, G. (2023). Yenilenebilir enerji eğitimine yönelik bir öğretim tasarımı geliştirme ve değerlendirme. Eğitim Teknolojisi Kuram ve Uygulama.

Guven, G., Kozcu Cakir, N., Sulun, Y., Cetin, G., & Guven, E. (2022). Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching. Journal of Research on Technology in Education, 54(1), 1–20.