Rodion Sorokin | Computer Science | Best Researcher Award

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Mr. Rodion Sorokin | Computer Science | Best Researcher Award 

Chief AI Architect | AI Time Capsule | United States

Mr. Rodion Sorokin demonstrates strong suitability for a Best Researcher Award through his exceptional contributions as an inventor, technical architect, and pioneering developer at the convergence of artificial intelligence, cryptography, ethics, and high-performance systems. His work emphasizes transforming ambitious conceptual frameworks into operational, secure, and scalable technological solutions that shape the next generation of responsible and reliable AI. As the co-founder and technical lead of an independent research lab, Mr. Sorokin plays a central role in designing foundational systems that address global challenges related to AI transparency, trust, accountability, and digital autonomy. His leadership in the AI Time Capsule project reflects deep technical insight and innovation, where he engineered the entire architecture incorporating federated longitudinal data protocols, hybrid foundation-adapter model design, and behavioral prompting mechanisms that enable advanced personality simulation, laying the groundwork for the emerging discipline of Computational Personality Science. His development of the AI Ethical Blackbox further demonstrates his capability to solve critical issues in AI governance and legal admissibility by creating the first cryptographically sealed blockchain-based audit system for neural networks, enabling transparent and accountable AI decision trails. Beyond these inventions, Mr. Sorokin’s contributions extend to digital trust and sovereignty systems, including the Entropy Protocol to combat AI-driven disinformation and SPYNO, a personal counter-surveillance ecosystem, underscoring his commitment to human-centered and security-focused digital infrastructure. His multidisciplinary vision, deep engineering expertise, and capacity to convert complex societal challenges into rigorous technological innovation reflect the qualities of a future-focused research leader. Mr. Sorokin’s work represents a rare blend of scientific rigor, ethical foresight, and system-level innovation, marking him as a transformative contributor to AI safety, digital trust, and next-generation cognitive technologies, and affirming his strong merit for recognition as a Best Researcher Award candidate.

Profiles: Google Scholar | ORCID | ResearchGate

Featured Publications

Sorokin, R. (2024). Teaming up with AI: Augmenting the service design process. Touchpoint, 15(1).

Nikolaichuk, S., & Sorokin, R. (2025). The digital will: A blockchain-based governance framework for post-mortem sovereignty of a digital personality. SSRN Working Paper.

Nikolaichuk, S., & Sorokin, R. (2025). A simulated dialogue: The therapeutic potential and ethical considerations of generative personality avatars in grief counseling. SSRN Working Paper.

Nikolaichuk, S., & Sorokin, R. (2025). Federated personalization for scalable personality simulation. SSRN Working Paper.

Sorokin, R., & Nikolaichuk, S. (2025). The mind-soul architecture: Scalable personality simulation via a hybrid foundation-adapter model with parameter-efficient fine-tuning. Research Manuscript.

 

Mr. Rodion Sorokin’s work pioneers the integration of artificial intelligence, cryptography, and ethical computing to create secure, scalable, and transparent digital systems. His innovations in personality simulation, AI accountability, and digital trust advance scientific understanding, empower ethical AI deployment, and shape technology solutions with global societal and industrial impact.

M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award | 10112

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Mr. M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award

Research Associate | ChangeMaker Nexus Ltd | Bangladesh

Mr. M.M. Abdullah Al Mamun Sony is an accomplished researcher and academic specializing in sociology, disaster management, gender studies, and social-environmental research. He is currently pursuing a Ph.D. at the University of Debrecen, Hungary, at the Géza Marton Doctoral School of Legal Studies with an outstanding grade of 4.98/5.00, reflecting his strong academic capabilities and commitment to research excellence. Sony holds a Master of Social Science in Sociology from Khulna University, Bangladesh, where he specialized in disaster management, gender policy, and sociological research methods, and a Bachelor of Social Science (Honours) in Sociology, also from Khulna University, demonstrating a solid academic foundation. His professional experience spans several significant roles, including Locally-led Action Research Consultant for the Bangladesh Preparedness Partnership, DOSZ Ambassador of Bangladesh fostering scientific collaboration with Hungary, and research associate and consultant for multiple social science and disaster management projects funded by Khulna University Research Cell, UGC Bangladesh, and international agencies. His research interests encompass social-environmental risk assessment, disaster coping mechanisms, gender-based studies, education quality, and labor market inclusion. Sony has developed strong research skills in quantitative and qualitative methods, including SPSS, NVivo, Atlas.ti, EndNote, and advanced data collection, analysis, and reporting techniques. He has an impressive publication record in Q1 and SSCI-indexed journals such as Social Sciences & Humanities Open, Sustainability, and the International Journal of Disaster Risk Reduction, with 22 citations, 7 documents, and an H-index of 3. Sony has received multiple awards and honors, including the Stipendium Hungaricum PhD Fellowship, Bangladesh Sweden Trust Fund travel grant, Best Leadership Award, Best Youth Icon Award, and recognition for outstanding presentations at international conferences. With his academic excellence, extensive research experience, international collaborations, leadership roles, and community engagement, Mr. M.M. Abdullah Al Mamun Sony demonstrates exceptional potential to contribute significantly to global social science research, making him a highly deserving candidate for recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Yu, X., Amin, M. B., Olga, P., Rahaman, M. A., & Sony, M. M. A. A. M. (2024). Gender-based emergency response and crisis management knowledge assessment: A cross-sectional study on Chinese tertiary student. International Journal of Disaster Risk Reduction, 112, 104800. [Citations: 18]

  2. Mollah, M. A., Rana, M., Amin, M. B., Sony, M. M. A. A. M., Rahaman, M. A., & Fenyves, V. (2024). Examining the role of AI-augmented HRM for sustainable performance: Key determinants for digital culture and organizational strategy. Sustainability, 16(24), 10843. [Citations: 15]

  3. Roy, T., Chandra, D., Sony, M. M. A. A. M., & Rahman, M. S. (2021). Impact of salinity intrusion on health of coastal people: Reflections from Dacope upazila of Khulna district, Bangladesh. Khulna University Studies, 17(1 & 2), 57-66. [Citations: 14]

  4. Roy, T., Nasreen, M., Hasan, M. K., & Sony, M. M. A. A. M. (2023). Community priorities in disaster risk reduction interventions: A critical perspective from Bangladesh. In Coastal disaster risk management in Bangladesh (pp. 335-355). [Citations: 8]

  5. Hasan, M. K., & Sony, M. M. A. A. M. (2023). Covid-19, social change, and society 5.0. In The Palgrave Handbook of Global Social Change (pp. 1-19). [Citations: 8]

Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

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Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

Graduate Student | Washington University of Science & Technology | United States

MD Shadman Soumik is a dedicated IT Support and Data Security professional and researcher with extensive expertise in cybersecurity, data analytics, cloud computing, and enterprise IT systems, combining practical experience with innovative research contributions. He earned his Master of Science in Information Technology from Washington University of Science and Technology, Virginia (2025) and a Bachelor of Science in Electrical and Electronic Engineering from North South University, Bangladesh (2017), establishing a strong academic foundation for both technical and analytical proficiency. Over his career, he has worked with organizations including Reliable Home Care Services Corp, Frontier Semiconductor Bangladesh Ltd, and Poran Agro Products Ltd, where he provided comprehensive IT support, implemented cybersecurity protocols, conducted security audits, managed secure data integration, and optimized IT operations to ensure operational efficiency and data protection. His research interests encompass artificial intelligence applications in cybersecurity, network intrusion detection, secure and usable system design, early disease diagnosis using healthcare data, and AI-based financial market prediction. Soumik’s research skills include machine learning, neural networks, cybersecurity operations, database management, cloud computing, data analysis, technical writing, and project management, allowing him to bridge applied IT work and academic research effectively. He has contributed to high-impact publications in journals and conferences such as IEEE ICDSIS, International Journal of Computer Applications (IJCA), International Journal of Scientific Research and Applications (IJSRA), and International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), and he actively participates in professional organizations including the International Society for Data Science and Analytics (USA) and the Institute of Engineers, Bangladesh. His achievements have been recognized through research awards and professional honors that highlight his contributions to cybersecurity, IT management, and applied analytics. In conclusion, MD Shadman Soumik exemplifies a researcher and professional whose combined expertise, leadership, publications, and dedication to innovation make him highly deserving of recognition, with significant potential to advance IT security, artificial intelligence applications, and data analytics on a global scale.

Profile: LinkedIn

Featured Publications

  1. Soumik, M. S., Mahmud, M. R., Sami, S. I., & Tanim, M. K. B. S. (2025). Designing secure and usable systems: The intersection of human-computer interaction, cybersecurity, and machine learning. International Journal of Computer Applications (IJCA).

  2. Tarafdar, R., Soumik, M. S., & Venkateswaranaidu, K. (2025). Applying artificial intelligence for enhanced precision in early disease diagnosis from healthcare dataset analytics. IEEE International Conference on Data Science and Information Systems (ICDSIS).

  3. Soumik, M. S. (2024). A comparative analysis of network intrusion detection (NID) using artificial intelligence techniques for increased network security. International Journal of Scientific Research and Applications (IJSRA).

  4. Tanim, M. K. B. S., Parash, M. H., Soumik, M. S., & Shakib, M. (2024). Enhanced network anomaly detection using convolutional neural networks in cybersecurity operations. International Journal of Computer Applications (IJCA).

  5. Soumik, M. S. (2024). Prediction of the financial stock market: A comprehensive analysis of artificial intelligence. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 4(2).

Best Paper Award

Published on by Best Paper Awards

Introduction of Best Paper Award

Introduction:

Welcome to the pinnacle of excellence in scholarly achievement! The 'Best Paper Award' stands as a beacon, recognizing and celebrating outstanding contributions in the realm of academic research. This prestigious accolade honors the brightest minds who push the boundaries of knowledge, setting new standards for innovation and impact.

Award Overview:

The 'Best Paper Award' is a distinguished recognition that encapsulates the essence of groundbreaking research across various disciplines. This award acknowledges exceptional papers that demonstrate unparalleled originality, methodological rigor, and a significant contribution to their respective fields.

Eligibility:
  • Open to researchers across all age groups.
  • Qualifications include a minimum of a master's degree.
  • Publications eligible for submission must be peer-reviewed.
  • Recurrent submissions from previous awardees are welcome.
Evaluation Criteria:

An esteemed panel of experts will assess submissions based on:

  • Innovation and novelty of research.
  • Methodological soundness.
  • Contribution to the field's advancement.
  • Clarity and coherence of presentation.
Submission Guidelines:
  • Submissions must adhere to specified formatting guidelines.
  • Include a comprehensive biography highlighting relevant expertise.
  • Attach an abstract summarizing the paper's key findings.
  • Supporting files, such as graphs or data sets, should accompany the submission.
Recognition:

The recipient of the 'Best Paper Award' will be acknowledged through:

  • Publication of the winning paper.
  • Invitation to present findings at a prestigious conference.
  • A certificate of achievement.
Community Impact:

Winners are encouraged to engage with the academic community, fostering collaboration and knowledge-sharing to amplify the impact of their research.

Biography:

Applicants should provide a brief biography, emphasizing their academic journey, notable achievements, and current research focus.

Abstract and Supporting Files:

A concise yet comprehensive abstract and accompanying supporting files are integral components of the submission, offering a snapshot of the research's significance.

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