Serhii Nikolaichuk | Computer Science | Innovative Research Award

Published on by Best Paper Awards

Mr. Serhii Nikolaichuk | Computer Science | Innovative Research Award 

AI Researcher | The Capital Index | United States

Mr. Serhii Nikolaichuk is an exceptional candidate for the Innovative Research Award, distinguished by his pioneering contributions at the intersection of artificial intelligence, ethics, and cognitive science, with a focus on ensuring digital trust and personal data sovereignty. As the founder of Computational Personality Science and author of the AI Time Capsule project, he has advanced the field through groundbreaking concepts such as personality simulation, federated personalization, and privacy-preserving longitudinal learning, addressing both technical and ethical dimensions of AI development. His research has led to the creation of the “Mind-Soul” architecture, a scalable hybrid foundation-adapter model enabling personalized AI that overcomes the computational and economic limitations of traditional fine-tuning, and the AI Ethical Blackbox, which provides accountability and transparency for AI systems. Nikolaichuk’s work also encompasses innovative approaches to digital legacy and narrative identity, exemplified by the Digital Will framework and SPYNO, a personal counter-surveillance ecosystem, reflecting his commitment to practical societal impact alongside theoretical innovation. With a portfolio of ten publications, including influential preprints and technical reports, he has demonstrated a consistent ability to identify unmet challenges in behavioral and computational sciences and develop elegant, impactful solutions. His research bridges foundational science and applied technology, offering new paradigms for ecologically valid behavioral data collection, verifiable AI content provenance, and the therapeutic application of generative personality avatars. By combining rigorous methodology with visionary thinking, Nikolaichuk exemplifies the essence of innovative research, producing work that is both technically sophisticated and socially transformative, influencing the future of AI ethics, digital identity, and personalized technology. His achievements reflect not only originality and technical mastery but also a forward-looking approach that anticipates societal needs and ethical considerations, making him a highly suitable nominee for recognition by the Innovative Research Award.

Profiles: Google Scholar | ResearchGate

Featured Publications

  1. Sorokin, R., Nikolaichuk, S. (2025, October). The “Mind-Soul” architecture: Scalable personality simulation via a hybrid foundation-adapter model with parameter-efficient fine-tuning.

  2. Sorokin, R., Nikolaichuk, S. (2025, September). Beyond the Turing Test: A framework for the “Personality Test” to evaluate the authenticity of a specific simulated identity.

  3. Sorokin, R., Nikolaichuk, S. (2025, September). Federated longitudinal studies (FLS): A privacy-by-design methodology for ecologically valid behavioral data collection in the wild.

  4. Nikolaichuk, S., Sorokin, R. (2025, August). Federated personalization for scalable personality simulation: A hybrid foundation-adapter architecture with privacy-preserving longitudinal learning.

  5. Sorokin, R., Nikolaichuk, S. (2025, August). From the archeology of memory to the simulation of personality: A new paradigm for digital legacy and narrative identity.

Dhulfiqar Zoltán Alwahab | Computer Science | Best Researcher Award

Published on by Best Paper Awards

Dr. Dhulfiqar Zoltán Alwahab | Computer Science

Best Researcher Award | Obuda University | Hungary

Dr. Dhulfiqar Zoltán Alwahab is an accomplished researcher and academic professional with extensive expertise in cloud computing, Python programming, data science, DevOps, edge systems, and AI-assisted education. Currently serving as an Associate Professor at the John von Neumann Faculty of Informatics, Óbuda University, Budapest, he plays a significant role in curriculum development, supervision of MSc and PhD students, and contribution to international research projects and publications. His academic journey reflects a solid foundation in computer networks and engineering, holding a PhD in Informatics from Eötvös Loránd University, a Master’s degree in Computer Networks and Information from Al-Nahrain University, and a Bachelor’s degree in Computer Engineering from Mustansiriyah University. With progressive teaching experience from Assistant Lecturer to Associate Professor, he has consistently demonstrated academic leadership and research excellence. He is also a certified Cisco instructor with multiple credentials including CCNA, CCNP, DevNet Associate, CyberOps Associate, and Model Driven Programmability, which highlight his commitment to technological advancement and applied research. His professional focus extends to Linux systems, IoT, and modern operating systems, combining academic rigor with practical skill development. Over the years, Dr. Alwahab has made impactful contributions to higher education, international collaborations, and knowledge dissemination through conferences, workshops, and public platforms such as YouTube. His blend of advanced research expertise, international teaching experience, industry certifications, and leadership in innovative educational practices strongly position him as a suitable candidate for the Best Researcher Award. His work not only demonstrates technical depth but also reflects a clear commitment to fostering academic excellence, technological innovation, and future-oriented research in computing and informatics.

Profile: Google Scholar

Featured Publications

Ali, T. E., Ali, F. I., Dakić, P., & Zoltan, A. D. (2025). Trends, prospects, challenges, and security in the healthcare Internet of Things. Computing, 107(1), 28.

Alwahab, D. A., & Laki, S. (2018). A simulation-based survey of active queue management algorithms. Proceedings of the 6th International Conference on Communications and Signal Processing.

Zaghar, D. (2013). Simplified the QoS factor for the ad-hoc network using fuzzy technique. International Journal of Communications, Network and System Sciences.

AlWahab, D. A., Gombos, G., & Laki, S. (2021). On a deep Q-network-based approach for active queue management. Joint European Conference on Networks and Communications & 6G Summit.

Eyvazov, F., Ali, T. E., Ali, F. I., & Zoltan, A. D. (2024). Beyond containers: orchestrating microservices with Minikube, Kubernetes, Docker, and Compose for seamless deployment and scalability. 11th International Conference on Reliability, Infocom Technologies and Optimization.