Dr. Victor Ekuta | Artificial Intelligence | Best Researcher Award

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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.

Assoc. Prof. Dr. Yujin Liu | Computer Vision and AI | Best Researcher Award

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Assoc. Prof. Dr. Yujin Liu | Computer Vision and AI | Best Researcher Award

Xidian University | China

Author Profiles

SCOPUS

GOOGLE SCHOLAR

Summary

Liu Yujin, is an associate professor and researcher specializing in novel photodetectors and intelligent imaging methods. with academic training from Wuyi university and Jinan university, and professional roles at Xidian university, he has established a strong foundation in optical engineering.

Early academic pursuits

Liu Yujin’s academic journey began at Wuyi university, where he earned a bachelor’s degree in electronic information engineering. building on this foundation, he pursued a master’s degree in condensed matter physics at jinan university, under the guidance of professor zhao chuanxi. his dedication to research Computer Vision and AI and innovation led him to continue at jinan university for his ph.d. in optical engineering, supervised by professor mai wenjie, which he successfully completed.

Professional endeavors

After completing his doctorate, Liu joined the guangzhou research institute of Xidian university as a lecturer. He advanced his career by taking up a postdoctoral fellowship at the school of electronic science and Computer Vision and AI technology, xidian university. his dual roles highlight his growing influence as both a researcher and educator in the field of optical and electronic sciences.

Contributions and research focus

Liu’s research interests lie in novel photodetectors and intelligent imaging methods, areas that bridge optical engineering, materials science, and advanced electronics. his work focuses on developing next-generation photodetection Computer Vision and AI technologies and exploring intelligent imaging approaches with applications in sensing, communication, and machine vision. through his academic efforts, he aims to contribute to innovations that improve detection sensitivity, imaging precision, and device performance.

Impact and influence

As an associate professor and early-career researcher, Liu has already established a promising trajectory in optical engineering and imaging sciences. his contributions to the study of photodetectors and intelligent imaging are poised to Computer Vision and AI influence both theoretical development and practical applications in modern technology, particularly in fields such as smart sensors, biomedical imaging, and artificial intelligence-assisted optical systems.

Academic cites

Liu’s academic output reflects his growing engagement with the Computer Vision and AI scientific community. his publications and postdoctoral research contribute to a body of knowledge that strengthens collaboration across photonics, electronics, and materials science.

Legacy and future contributions

Looking ahead, Liu Yujin is expected to expand his influence in the development of novel photodetectors and intelligent imaging methods. his ongoing postdoctoral research at Xidian university positions him to play a Computer Vision and AI vital role in advancing optical technologies. as he continues his career, his legacy will be defined by fostering innovative solutions that connect fundamental research with real-world applications.

Publications

Title: Atomic‐Layer Deposition‐Assisted Double‐Side Interfacial Engineering for High‐Performance Flexible and Stable CsPbBr3 Perovskite Photodetectors
Authors: G. Cen, Y. Liu, C. Zhao, G. Wang, Y. Fu, G. Yan, Y. Yuan, C. Su, Z. Zhao, W. Mai
Journal: Small
Publication Year: 2019

Title: Visualized UV Photodetectors Based on Prussian Blue/TiO2 for Smart Irradiation Monitoring Application
Authors: M. Qiu, P. Sun, Y. Liu, Q. Huang, C. Zhao, Z. Li, W. Mai
Journal: Advanced Materials Technologies
Publication Year: 2018

Title: Perovskite-based color camera inspired by human visual cells
Authors: Y. Liu, Z. Ji, G. Cen, H. Sun, H. Wang, C. Zhao, Z.L. Wang, W. Mai
Journal: Light: Science & Applications
Publication Year: 2023

Title: Reducing current fluctuation of Cs3Bi2Br9 perovskite photodetectors for diffuse reflection imaging with wide dynamic range
Authors: Z. Ji, Y. Liu, W. Li, C. Zhao, W. Mai
Journal: Science Bulletin
Publication Year: 2020

Title: All-inorganic lead-free NiOx/Cs3Bi2Br9 perovskite heterojunction photodetectors for ultraviolet multispectral imaging
Authors: Y. Liu, Y. Gao, J. Zhi, R. Huang, W. Li, X. Huang, G. Yan, Z. Ji, W. Mai
Journal: Nano Research
Publication Year: 2022

Conclusion

Through his academic excellence, innovative research, and growing professional responsibilities, Liu is emerging as a significant contributor to optical sciences and advanced imaging technologies. His future work promises to strengthen the integration of photonics and intelligent systems for next-generation applications.

Mrs. Laura Aschbacher | Artificial Intelligence | Best Researcher Award

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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.

Mr. Abubakar Adamu – Computer Science and Artificial Intelligence – Best Paper Award

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Mr. Abubakar Adamu - Computer Science and Artificial Intelligence - Best Paper Award

Federal University of Technology Minna Nigeria and University of Malaya - Malaysia

Author Profile

ORCID

Summary

Adamu Abubakar is an emerging researcher and academic with a strong foundation in computer science, artificial intelligence, and telecommunications. his educational background, which includes a master's degree with distinction and an ongoing phd, reflects his dedication to academic excellence and technical mastery. professionally, he has blended academic teaching with significant industry experience at leading telecom firms, giving him a well-rounded perspective on both theoretical and practical aspects of technology.

His research interests focus on the integration of artificial intelligence into telecommunication systems, with a growing emphasis on the role of power electronics in optimizing network infrastructure and improving service delivery. his involvement in global research networks like vodan demonstrates his commitment to using technology for societal benefit.

Early academic pursuits

Adamu Abubakar began his academic journey with a bachelor’s degree in computer science from usman danfodio university sokoto, nigeria, where he laid a solid foundation in computing principles and information technology. his pursuit of excellence continued with a master of technology (m.tech) in computer science at the federal university of technology minna, where he graduated with distinction. Computer Science and Artificial Intelligence his master's thesis focused on developing an enhanced self-service software model tailored for the nigerian telecommunication sector, integrating concepts applicable in power electronics systems through efficient data processing and control mechanisms.

Currently, he is enrolled in a phd program in computer science and artificial intelligence at the federal university of technology minna. additionally, he has undertaken a phd mobility attachment program at the university of malaya, malaysia, further expanding his exposure to global research practices. he also holds a postgraduate diploma in education from the national teachers institute, reflecting his dedication to academic mentorship and teaching excellence.

Professional endeavors

Adamu Abubakar's professional career is marked by significant teaching, research, and managerial responsibilities. he presently serves as a lecturer i at ibrahim badamasi babangida university, lapai, where he teaches courses such as data communication, networking, artificial intelligence, and computer architecture. he actively supervises final-year projects, providing guidance that connects theoretical concepts with practical applications, including emerging technologies such as power electronics in telecommunication systems.

Prior to his academic role, he accumulated valuable industry experience at leading telecommunication firms in nigeria, including mtn nigeria limited and zain nigeria limited. Computer Science and Artificial Intelligence his positions in customer service and distribution management honed his leadership, technical, and organizational skills, critical in both corporate operations and academic settings.

Contributions and research focus

Adamu Abubakar’s research interests lie primarily in artificial intelligence and telecommunication technologies. his academic and industry experiences have positioned him to explore intelligent systems design, network optimization, Computer Science and Artificial Intelligence and data-driven solutions to enhance telecom services. he also emphasizes the potential applications of power electronics in smart grid communication systems and energy-efficient telecommunication infrastructure.

As a data steward in the virus outbreak data network (vodan) africa & asia covid-19 volunteer network, he contributed to data management and system analysis, reinforcing his commitment to impactful scientific research.

Impact and influence

Adamu Abubakar’s dual expertise in academia and the telecommunications industry allows him to bridge the gap between theoretical knowledge and practical solutions. his teaching impacts undergraduate and postgraduate students, inspiring the next generation of nigerian computer scientists. Computer Science and Artificial Intelligence his involvement in technological research related to artificial intelligence and power electronics has the potential to shape more efficient telecom and computing infrastructures in africa and beyond.

Academic cites

Adamu Abubakar’s master's thesis on enhanced self-service models for nigerian telecom networks remains a relevant citation for researchers developing customer-oriented software systems in developing regions. ongoing collaborations through his phd programs and attachments are expected to yield publications contributing to fields like machine learning, Computer Science and Artificial Intelligence network optimization, and the integration of power systems and power electronics in information technology.

Legacy and future contributions highlight

With a vision focused on blending artificial intelligence with telecommunication advancements, adamu abubakar aims to make long-lasting contributions to nigeria’s digital infrastructure. he is committed to further exploring the synergy between ai-driven network systems and power electronics, ensuring sustainable, energy-efficient, and intelligent telecom solutions. Computer Science and Artificial Intelligence his legacy will likely include not only scholarly publications but also the cultivation of students and professionals well-versed in next-generation technologies.

Notable Publications

  1. Title: Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    Authors: Adamu Abubakar; Opeyemi Aderiike Abisoye; Isiaq Oludare Alabi; Adepoju Solomon; Ishaq Oyebisi Oyefolahan
    Journal: Discover Mechanical Engineering

  1. Title: Exploring the Integration of a Patient Generated Health Data in a FAIR Digital Health System in Low-Resourced Settings: A User-Centered Approach
    Authors: Abdullahi Abubakar Kawu; Rens Kievit; Adamu Abubakar; Mirjam Van Reisen; Dympna O'Sullivan; Lucy Hederman
    Conference: ACM International Conference (Proceedings)

Conclusion

Adamu Abubakar's career trajectory showcases a harmonious balance of teaching, research, and industrial practice. his expertise positions him to make impactful contributions to the fields of ai-driven telecommunication systems and power electronics applications in emerging markets. looking ahead, he is set to influence the development of energy-efficient, intelligent technologies that will shape nigeria's digital future and inspire the next generation of tech innovators.