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.

Serhii Nikolaichuk | Computer Science | Innovative Research Award

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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.

Ayasha Malik | AI | Best Researcher Award

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Ms. Ayasha Malik | AI | Best Researcher Award

Assistant Professor at GL Bajaj Institute of Management and Research, Greater Noida, India.

A committed educator and researcher, Dr. Ayasha Malik specializes in Machine Learning and Information Security. With her expertise in artificial intelligence applications, she has made significant contributions to both teaching and research. Over the years, she has mentored students, published research in esteemed journals, and collaborated on projects focusing on AI-based cybersecurity solutions.

Her work aims to bridge theoretical advancements with real-world applications, making significant strides in secure AI technologies and human-computer interaction models.

Publication Profile

scopus

scholar

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Educational Details

Dr. Ayasha Malik holds a Ph.D. in Machine Learning from the School of Computer Science and Engineering, Sharda University (2021). She completed her M.Tech. in Information Security (2019) at the Ambedkar Institute of Advanced Communication Technologies and Research, Guru Gobind Singh Indraprastha University (NSIT), securing a CGPA of 8.65. Her B.Tech. in Computer Science & Engineering (2017) was awarded by Raj Kumar Goel Institute of Technology and Management, APJ Abdul Kalam Technical University, Lucknow, with a 71.68% score.

Dr. Malik completed her HSC (2013) in the Science stream from P.C School (CBSE) with 62.20% and her SSC (2011) from P.C Institute (CBSE) with a CGPA of 8.2.

Professional Experience

Dr. Malik has a strong academic background with over four years of teaching and research experience in reputed institutions:

  • GL Bajaj Institute of Management and Research, AKTU – Assistant Professor (Feb 2025–Present)
  • IIMT College of Engineering, AKTU – Assistant Professor (August 2023–Feb 2025)
  • Delhi Technical Campus (DTC), GGSIPU – Assistant Professor (Sept 2022–Aug 2023)
  • Noida Institute of Engineering and Technology (NIET), AKTU – Assistant Professor (Jan 2021–Aug 2022)
  • IEC Group of Institutions (IECGI), AKTU – Assistant Professor (Aug 2019–Nov 2020)
  • INMANTEC Institute, AKTU – Assistant Professor (Jan 2019–July 2019)

Research Interest

Dr. Malik’s research focuses on Machine Learning, Artificial Intelligence, and Information Security, with an emphasis on:

  • Deep learning applications in cybersecurity
  • Speech and image recognition models
  • AI-driven data privacy solutions
  • Human-computer interaction in intelligent systems

She is particularly interested in developing machine learning algorithms for secure computing environments, aiming to integrate AI into cybersecurity frameworks to enhance digital protection.

Author Metrics

Dr. Malik has contributed to several international journal publications and conferences, particularly in speech emotion recognition, AI-based security systems, and machine learning for cybersecurity. Her research has been cited in prominent academic circles, reinforcing her impact in the fields of artificial intelligence and information security.

Top Noted Publication

Conference Paper: Harnessing Data Mining for Improved Hindi Isolated Speech Recognition

Authors: Ayasha Malik, Veena Parihar, Shrikant A. Mapari, Malathy Sathyamoorthy, Shilpa Saini
Publication Type: Conference Paper
Citations: 0
Abstract:
This research explores the application of data mining techniques to enhance Hindi isolated speech recognition. The study leverages machine learning models to improve accuracy and efficiency in recognizing isolated words in the Hindi language. The work focuses on feature extraction, classification, and the impact of data mining methodologies on speech processing. The findings contribute to the development of intelligent speech interfaces for Hindi language users in human-computer interaction systems.

Book Chapter: Harnessing the Power of Artificial Intelligence in Software Engineering for the Design and Optimization of Cyber-Physical Systems

Authors: Shubham Tiwari, Ayasha Malik
Publication Type: Book Chapter
Citations: Not available
Abstract:
This book chapter examines how Artificial Intelligence (AI) is revolutionizing software engineering in the design and optimization of Cyber-Physical Systems (CPS). The chapter highlights AI-driven methodologies, including machine learning, deep learning, and reinforcement learning, to enhance CPS performance and security. It discusses AI-based automation, fault detection, and predictive analytics, offering insights into next-generation smart systems that integrate computational intelligence with physical infrastructure.

Conclusion

Dr. Ayasha Malik is a highly qualified researcher with strong expertise in machine learning, AI security, and human-computer interaction. Her academic background, publications, and teaching contributions make her a strong candidate for the Best Researcher Award.

To further solidify her standing, she can increase citations, enhance industry collaborations, and gain more international research exposure. With these improvements, she could be a leading AI researcher in cybersecurity and intelligent systems.

Omar Soufi | Intelligence Artificial | Best Researcher Award

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Dr. Omar Soufi | Intelligence Artificial | Best Researcher Award

Doctorate at Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

Summary:

Dr. Omar Soufi is an expert in artificial intelligence and data science, with a specialized focus on remote sensing and geographic information systems (GIS). He completed his Ph.D. in Computer Engineering with a concentration in Artificial Intelligence at EMI Rabat in 2023, where his research centered on enhancing satellite image quality using deep learning techniques. With extensive experience in both academia and industry, Dr. Soufi has led numerous projects in AI, data science, and business intelligence. His contributions to the field include developing geospatial platforms for natural disaster risk management and implementing innovative solutions for satellite image processing. Dr. Soufi is currently advancing his research and professional endeavors as a postdoctoral researcher at CRTS Rabat, where he continues to explore the frontiers of AI and remote sensing.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Computer Engineering: Artificial Intelligence (2023)
    • Institution: EMI Rabat
    • Dissertation: Approche par Deep Learning au profit de la télédétection spatiale : Amélioration de la qualité d’images satellites et du procédé du capteur d’étoile.
  • Engineering Degree in Computer Science (2020)
    • Institution: EMI Rabat
    • Option: Ingénierie et Qualité Logicielle.
  • Engineering Degree in Information Systems Engineering (2020)
    • Institution: Polytechnique Grenoble, ENSIMAG
  • Fundamental License in Mechanical Engineering (2014)
    • Institution: ARM Merkèns
  • Diplôme des Études Universitaires (2015)
    • Institution: ARM Merkèns
  • Baccalauréat (2011)
    • Institution: 1ER LMR
    • Option: Sciences de Vie et de Terre

🏢 Professional Experience:

Dr. Omar Soufi is currently a Postdoctoral Researcher in Computer Engineering at CRTS Rabat, a position he has held since February 2024. In this role, he leads projects focused on artificial intelligence and data science, particularly for satellite image processing and spatial data analysis. Since 2022, Dr. Soufi has also been the Head of the Geomatics & Decision-Making Tools Department at CRTS Rabat, where he manages geomatics projects, develops decision-making tools, and oversees the implementation of geospatial platforms.

Previously, from 2020 to 2022, Dr. Soufi served as the Head of the Business Intelligence & Decision-Making Tools Department at CRTS Rabat. In this capacity, he directed business intelligence projects, developed data analytics solutions, and optimized decision-making processes. From 2017 to 2020, he was the Chief of Project at the Decision Support Center, managing decision support projects, implementing big data architectures, and developing e-learning platforms.

Dr. Soufi’s earlier professional experience includes serving as a Project Manager in the IT Department at CRTS Rabat from 2016 to 2017. He led IT projects, developed web applications, and implemented distributed data processing systems. His internships include a PFE internship on the super resolution of satellite images using deep learning (February 2020 – July 2020), an engineering internship on the development of a space station management platform at CRERS Rabat (July 2019 – August 2019), and an internship on the development of an agricultural campaign bulletin diffusion platform at CRTS Rabat (July 2019 – August 2019).

Research Interests

Dr. Omar Soufi’s research interests are centered on artificial intelligence, data science, remote sensing, and geographic information systems (GIS). His work focuses on applying deep learning techniques to improve the quality of satellite images and developing intelligent systems for spatial data analysis and geospatial applications. He is particularly interested in enhancing accessibility to high-resolution satellite imagery and advancing spacecraft attitude control using AI.

Top Noted Publication:

  • Study of Deep Learning-Based Models for Single Image Super-Resolution
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Revue d’Intelligence Artificielle, 2022
    • Link: DOI: 10.18280/ria.360616
  • FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Ingénierie des Systèmes d’Information, 2023
    • Link: DOI: 10.18280/isi.280112
  • Deep Learning Technique for Image Satellite Processing
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Intell Methods Eng Sci, 2023
  • Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach
    • Authors: O. Soufi, F.Z. Belouadha
    • Published in: Journal of Environmental Treatment Techniques, 2023
  • An Intelligent Deep Learning Approach to Spacecraft Attitude Control: The Case of Satellites
    • Authors: O. Soufi, F.Z. Belouadha
    • Status: Under review, 2023