Alexios Kaponis | Computer Science | Excellence in Research

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Mr. Alexios Kaponis | Computer Science | Excellence in Research

PhD Candidate,Ionian University , Greece

Alexios Kaponis is a promising researcher with a robust portfolio of work in AI and digital marketing, focused on both technical innovation and ethical implications. His research output, coupled with hands-on project experience and a solid educational foundation, positions him as a dedicated and impactful researcher. He continues to develop expertise that addresses both theoretical and applied challenges in computer science.

Professional Profile

🎓 Educational Background

Alexios Kaponis was born in Patras on August 6, 1987. He earned his diploma in Cultural Management from the Department of Management of Cultural Environment and New Technologies at the University of Ioannina in 2009. Later, he obtained a master’s degree in Technologies and Management from the Department of Information and Communication Systems Engineering at the University of the Aegean in 2017. Currently, Alexios is pursuing a doctoral degree in Computer Science at the University of the Ionian Islands. His PhD research focuses on “Data analysis in digital marketing using machine learning and artificial intelligence techniques, business analysis, practices, and ethical dimensions in e-commerce.”

🧑‍🏫 Professional Experience

Alexios currently works as an Intelligent Software Solutions expert at the National Research Centre for Physical Sciences (NCRS) “Demokritos.” Since April 2024, he has been involved in the WP2 Data Inspection and Generation and WP5 Trustworthy Efficiency & Performance Assessment Framework projects, focusing on advanced machine learning and AI tools to improve risk prediction and fraud detection. His responsibilities include proposing new intelligence tool developments, conducting data analysis, and leveraging big data and cloud-based technologies.

🔬 Research Focus

Alexios’s research primarily centers on the application of machine learning and AI techniques in digital marketing, with a strong emphasis on ethical and legal dimensions in e-commerce. He investigates the use of natural language processing and large-scale data mining for business intelligence and enhanced customer engagement. His ongoing doctoral work explores innovative data analysis methodologies to support decision-making in marketing strategies. Furthermore, he contributes to projects aiming to improve AI reliability and trustworthiness in practical applications, such as fraud detection and chatbot development.

🛠️ Skills and Expertise

Alexios possesses strong expertise in big data, data analytics, artificial intelligence, data management, and cloud computing technologies. He has hands-on experience with machine learning, natural language processing, semantic web technologies, and digital marketing analytics. Additionally, Alexios is proficient in web development tools such as Joomla and WordPress and skilled in Google Analytics. He is fluent in Greek and highly proficient in English, complemented by a computer diploma certified by the University of Ioannina.

🏅 Awards & Honours

Alexios was distinguished by the General Secretariat for Lifelong Learning for his successful completion of a 25-hour seminar dedicated to training teachers in vocational adult education. His active participation as an examiner in national qualification certification examinations highlights his commitment to professional excellence in IT education. He has also presented and published multiple papers at prestigious international conferences, reflecting recognition of his research contributions in artificial intelligence, digital marketing, and assistive technologies.

Publication Top Notes

  1. Assist of AI in a Smart Learning Environment

    • Authors: K.C. Sofianos, Michalis Stefanidakis, Alexios Kaponis, Linas Bukauskas

    • Year: 2024

    • Citation count: 1

  2. Data Analysis in Digital Marketing using Machine Learning and Artificial Intelligence Techniques, Ethical and Legal Dimensions, State of the Art

    • Author: Alexios Kaponis, M. Maragoudakis

    • Year: 2022

    • Citation count: (Not provided, please add if known)

  3. Case Study Analysis of Medical and Pharmaceutical Chatbots in Digital Marketing and Proposal to Create a Reliable Chatbot with Summary Extraction Based on Users’ Keywords

    • Authors: Alexios S. Kaponis, Alexios A. Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

  4. Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification

    • Authors: Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

Conclusion

Given his achievements and ongoing contributions, Alexios Kaponis is a fitting candidate for the Excellence in Research Award. Recognizing his work would not only honor his past accomplishments but also encourage further advancements in AI-driven research that balances innovation with ethical responsibility. With continued focus on increasing research impact and leadership, Alexios is well poised for future excellence in his field.

Ms Jayasree Varadarajan | Artificial Intelligence | Best Researcher Award

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Ms Jayasree Varadarajan | Artificial Intelligence | Best Researcher Award

AI Technical Analyst Lead at Manchester Metropolitan University,United Kingdom

Jayasree Varadarajan’s journey in Artificial Intelligence (AI) is a story of relentless pursuit of knowledge, groundbreaking contributions, and inspiring leadership. From her early academic foundations to becoming a beacon of innovation and expertise in AI, her accomplishments reflect her dedication and profound impact on the field.

Profile

orcid

scopus

google scholar

🎓 Early Academic Pursuits

Jayasree’s academic journey began in India, where she earned a Bachelor’s degree in Electronics & Communication Engineering from Periyar Maniammai University in 2012. Demonstrating exceptional aptitude, she pursued a Master’s in VLSI Design from Kings College of Engineering, graduating in 2014 as an academic topper.

Eager to explore the nexus of satellite technology and AI, she earned an MSc in Satellite Data Science from the University of Leicester, UK, in 2022. Her academic foundation provided her with a deep understanding of complex systems, preparing her to address real-world challenges in AI and beyond.

đź’Ľ Professional Endeavors

Jayasree’s professional trajectory showcases her versatility in various roles and industries:

  • AI Technical Analyst Lead (2023 – Present): At the Center for Digital Innovation, MMU, UK, funded by UKRI-Innovate UK, Jayasree has been instrumental in leading the design and development of AI-driven healthcare and IT solutions. Her work bridges the gap between academic research and practical applications while ensuring ethical AI practices.
  • AI Technical R&D Analyst (2023): In this role at GM AI Foundry, she accelerated SME businesses by integrating AI into their operations, emphasizing ethical standards and innovative problem-solving.
  • Machine Learning Research Assistant (2022): At Space Park Leicester, she contributed to a SPRINT project that utilized aerial LiDAR data and machine learning algorithms to estimate carbon sequestration potential.
  • AI Data Scientist (2016–2021): Jayasree led projects such as the “E-Doctor Alexa System,” which addressed healthcare challenges through predictive modeling. Her work demonstrated a profound ability to develop business solutions using AI and machine learning.

🔬 Contributions and Research Focus

Jayasree’s research has centered on applying AI and ML technologies to solve critical problems in healthcare, environment, and business. Her publications in journals like MDPI and Heliyon delve into the applications of AI for societal benefit.

As a resource person for Faculty Development Programs, Jayasree has conducted numerous webinars and seminars, empowering students and academics with advanced AI tools. She has also shared her expertise on global platforms such as:

  • AI Summit London (2023)
  • AI Summit Singapore (2024)

🏆 Accolades and Recognition

Jayasree’s exemplary work has earned her several accolades:

  • Finalist in the Promising Professional Category (IIW Awards 2024): This recognition underscores her growing influence and contributions to AI.
  • Academic Excellence: She consistently ranked as a topper during her undergraduate and postgraduate studies.
  • UK Global Talent Visa: Endorsed as an exceptional talent in AI by UKRI, Jayasree’s recognition in 2024 highlights her leadership in the field.

She has also earned certificates of appreciation from academic institutions for her role as a resource person and technical expert.

🌍 Impact and Influence

Jayasree’s expertise in programming (Python, R), cloud technologies (Microsoft Azure), and AI domains like NLP, Generative AI, and Prompt Engineering has influenced diverse industries. Her ability to deliver custom AI tools, mentor professionals, and provide actionable solutions showcases her as a transformative leader in AI.

Her role as a mentor and thought leader inspires a generation of budding AI enthusiasts and professionals. By demystifying AI concepts and advocating for ethical AI use, she fosters responsible innovation and sustainable development.

🌟 Legacy and Future Contributions

Looking ahead, Jayasree aims to:

  • Expand her research on healthcare applications of AI, focusing on predictive analytics and AI-driven health solutions.
  • Continue empowering students and professionals through education and mentorship.
  • Advocate for responsible AI practices on global platforms to ensure its positive impact on society.

Her journey from academic brilliance to professional excellence positions her as a trailblazer in AI. Jayasree Varadarajan’s story is not just about achievements; it is about the meaningful impact of technology when guided by passion, ethics, and a vision for a better future.

Publication Top Notes

Artificial Intelligence

  • Md Abu Sufian, Jayasree Varadarajan (2024). “Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health.” Heliyon, 10(7).
  • Md Abu Sufian, W Hamzi, B Hamzi, ASMS Sagar, M Rahman, Jayasree Varadarajan, et al. (2024). “Innovative machine learning strategies for early detection and prevention of pregnancy loss: the Vitamin D connection and gestational health.” Diagnostics, 14(9), 920.
  • Md Abu Sufian, W Hamzi, S Zaman, L Alsadder, B Hamzi, Jayasree Varadarajan, et al. (2024). “Enhancing Clinical Validation for Early Cardiovascular Disease Prediction through Simulation, AI, and Web Technology.” Diagnostics, 14(12), 1308.
  • Md Abu Sufian, Jayasree Varadarajan, M Hanumanthu, L Katneni, A Jamil, V Lal, et al. (2024). “Optimizing E-Sports Revenue: A Novel Data Driven Approach to Predicting Merchandise Sales Through Data Analytics and Machine Learning.” Science and Information Conference, 522-567.
  • Md Abu Sufian, Md Ashraful Islam, Jayasree Varadarajan (2023). “AI Models for Early Detection and Mortality Prediction in Cardiovascular Diseases.” TechRxiv.
  • Jayasree Varadarajan, Md Abu Sufian (2023). “Neuro App: AI-driven 4D brain image processing on standalone platforms.” Journal of Computer Engineering & Information Technology, 12.
  • Jayasree Varadarajan, Jeyaseelan (2014). “Design of Ultrasound Biomicroscopy in Open Platform Using FPGA.” Second International Conference On Science, Engineering and Management, 2.