Dr. Dhruv Sharma | Deep Learning | Best Researcher Award

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.

Dr. Victor Ekuta | Artificial Intelligence | Best Researcher Award

Dr. Victor Ekuta | Artificial Intelligence | Best Researcher Award

Morehouse School of Medicine | United States

Dr. Victor Ekuta is a neurology resident physician at morehouse school of medicine in atlanta, georgia. He earned his doctor of medicine degree with honors from xavier university school of medicine in oranjestad, aruba. prior to his medical education, dr. ekuta completed a bachelor of arts in biology with a neuroscience track and a philosophy-neuroscience-psychology track, along with a chemistry minor, at washington university in st. louis, missouri, he also attended methacton high school in norristown, pennsylvania, and waterford high school in waterford, connecticut. dr. ekuta has received numerous awards and honors, including scholarships, fellowships, and travel awards from institutions such as the national multiple sclerosis society, Artificial Intelligence alzheimer’s association, mit solve, and harvard innovation labs, as well as recognition from the national institute of neurological disorders and stroke and the american academy of neurology. in addition to his medical training, he has contributed to research in neurology and mental health, including studies on insulin resistance and alzheimer’s biomarkers. his academic output includes 3 documents, 11 citations, and an h-index of 1. Dr. ekuta’s commitment to advancing brain health equity and addressing disparities in neurology continues to shape his career as a physician-scientist-advocate.

Profiles: Scopus | Orcid

Featured Publication

Ekuta, V. (2025). Racing against the algorithm: Leveraging inclusive AI as an antiracist tool for brain health. Clinical and Translational Science.

Mrs. Laura Aschbacher | Artificial Intelligence | Best Researcher Award

Mrs. Laura Aschbacher | Artificial Intelligence | Best Researcher Award

EuroSPI | Austria

Author Profile

SCOPUS

Summary

Laura Aschbacher is an innovation expert and design director with a strong academic background in digital transformation, communication, and information design. she leads strategic initiatives at eurospi, including managing the eurospi academy and conference. her work spans iso 56000-based innovation assessments, eu-funded projects like tims and trireme, and the application of generative ai in the automotive sector. laura’s interdisciplinary approach supports the digital transformation of industries such as automotive, healthcare, and power electronics through creative, strategic, and technical collaboration.

Early academic pursuits

Laura aschbacher began her academic journey with a bachelor’s degree in information design from the university of applied sciences joanneum in graz, austria. she further deepened her expertise by earning a master’s degree in communication, media, sound, and interaction design. committed to leading in the digital age, she pursued an mba in leadership in digital transformation from tu graz. her interdisciplinary education provided a solid foundation for bridging design, Artificial Intelligence, technology, and strategic innovation—key elements even in technical domains like power electronics.

Professional endeavors

Laura has held the position of manager and innovation expert at eurospi gesmbh, where she plays a central role in strategic leadership and digital transformation initiatives. her responsibilities span managing the eurospi academy, shaping certification programs, and directing the annual eurospi conference. additionally, she has been instrumental in shaping the visual and structural identity of eurospi’s services, Artificial Intelligence enabling impactful collaboration across academia and industry sectors including those exploring innovations in power electronics.

Contributions and research focus

Laura’s research and consultancy efforts are centered the iso innovation standards. she conducted innovation assessments for key industry players such as rheinmetall ag, coloplast ag, and eviden/atos. as a researcher in the eu project tims, she contributed to the development of a digital innovation assessment platform and iso-aligned training modules. her involvement in the blueprint automotive projects flamenco and trireme includes designing a mooc for ai-driven strategic intelligence management—an area increasingly connected to smart manufacturing and power electronics systems.

Impact and influence

Through her multidisciplinary skillset, Laura has impacted both industrial practice and academic knowledge transfer. her work within the soqrates group, involving tier 1 automotive suppliers, focuses on integrating generative ai into data-driven analysis methods. by aligning creative and Artificial Intelligence strategic thinking with technical rigor, she supports the sustainable digital transformation of industries ranging from automotive to advanced electronics, setting a precedent for innovation-centric ecosystems.

Academic cites

Laura’s contributions have been reflected in eu research projects, industry case studies, and digital training platforms. her role in the tims and trireme projects suggests she is cited in project reports, conference proceedings, Artificial Intelligence and collaborative academic outputs. while specific citation metrics were not provided, her participation in high-impact initiatives underlines her academic credibility and applied research value.

Legacy and future contributions

Looking ahead, Laura Aschbacher is well-positioned to continue driving innovation at the intersection of design, strategy, and emerging technologies. her experience in generative ai and digital transformation—applied across sectors including power electronics—suggests that she will remain influential in developing smart industry standards, educational platforms, and innovation frameworks. her legacy will likely be marked by her role in advancing holistic, Artificial Intelligence, human-centered approaches to complex technological challenges.

Publication

Title: The Innovation Agent Task Force in the Automotive Skills Alliance (ASA) and Innovation Assessment Best Practices

Conclusion

With a unique blend of academic insight and practical leadership, Laura Aschbacher is contributing significantly to European innovation and education ecosystems. her focus on design-driven innovation, supported by cutting-edge tools like ai and iso-aligned frameworks, positions her as a key influencer in shaping sustainable digital transformation. as emerging technologies like power electronics evolve, her work is set to remain impactful across both industry and academia.