Eduard Babulak

@nsf.gov

Professor
National Science Foundation



                                                                 

https://researchid.co/eduardbabulak

Professor Eduard Babulak is accomplished international scholar, researcher, consultant, educator, professional engineer and polyglot, with more than thirty years of experience. He served as Editor, reviewer, Conference Chair, has successfully published. He served as Chair of the IEEE Vancouver Ethics, Professional and Conference Committee. He was Invited Plenary & Keynote Speaker in Tokyo (2023), Oxford (2020 & 2023), University of Cambridge (2005 & 2010), MIT (2005 & 2010), Yokohama National University & University of Electro Communications in Tokyo (2009 – 2010), Kyushu Institute of Technology (2016), Japan, Shanghai Jiao Tong University (2013), Sungkyunkwan University in Korea (2012 – 2014), University of Surrey, Purdue University, Penn State, Graz University of Technology, Austria, Czech Technical University, and other prestigious academic institutions worldwide. His academic and engineering work was recognized internationally by the Engineering Council in UK, EU, USA & Canada.

EDUCATION

Doctor-Habil. (Docent - D.Sc.) University of Pardubice (Czech Republic), 2008
Ph.D., Staffordshire University (United Kingdom), 2003
M.Sc., University of East London, (United Kingdom), 1991
High National Certificate, Brighton College of Technology (United Kingdom), 1990
M.Sc., Technical University of Kosice (Slovakia), 1982
High National Diploma, Electro-technical College (Slovakia), 1976

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Artificial Intelligence, Computer Networks and Communications

FUTURE PROJECTS

New Special Issue: Advancing Sustainable Energy Through Quantum Material Innovation

“Advancing Sustainable Energy Through Quantum Material Innovation” focuses on leveraging quantum materials to enhance sustainable energy solutions. Quantum computing and artificial intelligence are emerging as powerful tools for optimizing renewable energy systems, improving energy storage, and designing new materials. For instance, quantum simulations can model atomic structures to identify compounds with high energy storage potential, crucial for renewable energy storage. Additionally, quantum materials like perovskite quantum dots are showing promise in developing more efficient solar cells and LEDs. These innovations aim to address the intermittency of renewable energy sources and improve overall energy efficiency, contributing to a sustainable future.


Applications Invited
www.mdpi.com/journal/applsci/special_issues/GYMH6O3MJB

Call for Chapters: Quantum Enhancements to the AI Industry

The book will bring to light the state-of-the-art in the field of Quantum Computing and AI and the future research directions in Quantum driven AI. The book will promote creation of multi-disciplinary research teams to advance the innovation and development of the Next Generation of Quantum Enhancements in the AI Industry. The book will make significant impact on research community, and the AI industry and business practitioners in the nation and worldwide.


Applications Invited
https://www.igi-global.com/publish/call-for-papers/call-details/9720

Special Issue: Advances in Computer Security and Applied Cybersecurity

Given the current advances in the field of Fast Internet, Smart Computation and AI, proper Cyber Security Mechanisms are essential in securing Cyber Critical Infrastructures, Big Data Centers, Businesses, Industries and Governments worldwide. This Special Issue will present up-to-date cutting-edge research in the field of Cyber Security Mechanisms and Services, AI and Ultra Smart Computational Devices as tools to create a safe and secure cyberspace. The papers published in the Special Issue will be peer reviewed and indexed in the Scopus and Web of Science Databases. The Special Issue will promote the creation of global, multidisciplinary research consortiums to help us work together.


Applications Invited
www.mdpi.com/journal/applsci/special_issues/WWZ8RAJU18
55

Scopus Publications

Scopus Publications


  • Preface


  • Introduction


  • Conclusion


  • Smart IoT-Based Framework for Real-Time Food Adulteration Detection Towards Healthy Living
    Eduard Babulak, S. N. Kumar, Neenu Rose Antony, Nikki John Kannampilly, Alan Biju, Albert Joji, Arunima Dilimone, and Dejlo Shaju
    IGI Global Scientific Publishing
    Food adulteration is an ongoing and dynamically increasing challenge to public health, economic authenticity, and food system confidence around the world. This survey provides an overview of recent developments in the detection of food adulteration, with special emphasis on the utilization of Internet of Things (IoT) technologies and machine learning strategies for real-time inspection and analysis. The research classifies adulterants, impacted food products, and related health effects, as well as examines traditional and novel detection methods such as spectroscopy, chromatography, and sensor-based systems critically. Focus is given to IoT-based frameworks that employ an assortment of physical and chemical sensors for decentralized and autonomous adulteration identification. In addition, the chapter compares current implementations, limitations in sensor calibration, data accuracy, standardization, and the lack of region-specific datasets for machine learning model training. Through an outline of the present technological state and an enumeration of research priorities, including the interoperability, regulatory support, and data privacy, this research is targeted at future developments toward scalable, cost-efficient, and smart food safety solutions. The survey highlights the revolutionary role of smart technologies in restructuring food quality assurance and safeguarding consumer health in developed and developing settings.

  • Preface



  • AI-Driven Automation in Agile Software Development Teams Enhancing Efficiency and Collaboration
    Sanjay Kumar Polampally, Geeta Sandeep Nadella, Sharat Ragunayakula, Vinaya Jyothi Kumar, Swamy Kankala, and Eduard Babulak
    IGI Global Scientific Publishing
    This research discovers the incorporation of AI-driven and automated processes into the Agile workflows to enhance efficiency with collaboration and project success rates. The experimental results indicate that AI-driven automation reduces the sprint planning time from over 10 to under 5 hours, increases backlog prioritization efficiency from 65% to 85%, and enhances project success rates from 75% to 90%. In these challenges, AI model interpretability and data dependency remain critical concerns. This research emphasizes the significance of refining AI-driven recommendations to align with Agile team dynamics while these biases in training data. Future research should focus on expanding the AI applications in all Agile frameworks and mixing them with AI DevOps and CI/CD pipelines to streamline software expansion processes further. The results confirm that AI-driven mechanization is crucial in enhancing agile project management and assisting teams in emphasizing origination and accelerating software delivery.

  • Human-Centric AI Tools Into Agile Methodologies for Optimized Software Development
    Eduard Babulak, Ashok Kumar, Dhivya Guru, Karthik Kudithipudi, Surendar Maddini, Hari Gonaygunta, and Sandeep Nadella
    IGI Global Scientific Publishing
    This study explores integrating human-centric AI tools, particularly NLP-based AI, into Agile methodologies to enhance software development efficiency. Agile methodologies emphasize adaptability, collaboration, and iterative progress, yet challenges, vague user stories, and stakeholder misalignment persist. The results indicate that AI-assisted teams achieved a 40% reduction in ambiguous user stories, a 15% improvement in delivery speed, and an increase in stakeholder satisfaction from 5.32 to 7.77 compared to traditional teams. In this case, AI-enabled teams demonstrated improved sprint planning, backlog prioritization, and requirement clarity. Future research should focus on expanding AI applications within Agile workflows, such as seamless tool integration, and conducting longitudinal studies to assess AI's long-term impact. The research demonstrates how AI addresses communication gaps in the development cycles to maximize their effectiveness and make Agile software engineering more collaborative and efficient.


  • Preface


  • Conceptual awareness for human navigation in A.I.
    Piet Kommers and Eduard Babulak
    IGI Global
    Throughout human history, many significant advancements have emerged thanks to the efforts of great scholars such as Pythagoras, Da Vinci, Newton, Leibniz, Edison, Bell, and numerous others who laid the groundwork for scholarly communities and universities. Human intelligence has been a vital pillar of cultural evolution, technological innovation, and academic education. Classical scholars educated their apprentices individually, utilizing simple tools that eventually evolved into the pencil and paper we know today. Many scholars and educators today agree that the current generation of learners may lack either the ability or motivation to learn without smart devices. However, the process of learning and enhancing natural intelligence remains fundamentally similar to how it occurred many centuries ago. The principles of natural intelligence have inspired numerous scholars and researchers to develop tools for machine intelligence. Significant early advancements in computing included the first machines capable of performing simple calculations, such as adding 1 + 1 to equal 2. This chapter emphasizes the author's academic contributions. It offers a unified overview of the book's main insights and explains how the application of AI is revolutionizing modern educational practices and learning processes for today's Cyber Nomad generation of learners. The authors outline the epistemic layers that determine the legitimacy of AI in educational contexts. Given the geopolitical tensions and misinformation, this chapter emphasizes significant existential perspectives from renowned thinkers on AI while exploring the landscape for the coming decade. Central to the discussed landmarks are shifts in hermeneutics and belief systems that have shaped global acceptance of AI's semantic extrapolations, as illustrated by examples from OpenAI such as ChatGPT and ChatSonic. As recently proposed at the World Economic Forum and the U.S. Pentagon, users' awareness of the impact of metacognitive backgrounds is central to further AI evolution. From an architectural perspective, this is an opportune moment to advocate for nonsingular reflections. Predictions suggest that anthropomorphic imagination is a fleeting phenomenon likely to be overshadowed by metacognitive representations such as 'conceptual thinking' for aspiring professionals in industrial design and educational and vocational training policy considerations (Nijhof & Kommers, 1984).



  • Introduction


  • Conclusion



  • Preface


  • A New Approach to Improving Natural Language Processing Capabilities Using Generative AI: A Systematic Review and Future Perspectives
    Dharmender Trilok Salian, Gasan Elkhodari, Rabih Neouchi, Steven Brown, Eduard Babulak, and Raed Sbeit
    IGI Global Scientific Publishing
    Generative AI and Natural Language Processing (NLP), two closely related fields of artificial intelligence, have seen remarkable advancements in recent years. Despite their common goal, they differ in their approaches and applications to understanding and generating human language. With the application of generative artificial intelligence, it is possible to comprehend and generate text-like human communication in natural language processing. Improved models of language transformers for text generation, translation, and summarization continuously expand AI's linguistic potential. In this paper, generative AI and traditional NLP models are evaluated and compared across multiple use cases. This study benchmarks Generative AI and traditional NLP models across four key tasks—topic modeling, sentiment analysis, named entity recognition, and text generation—using Python and Google Vertex AI. .

  • Smart Agriculture for Sustainable Practices: The Role of AI, IoT, and Machine Learning
    S. N. Kumar, Sherin Zafar, Arun S, Sameena Naaz, M. M. Sufyan Beg, and Eduard Babulak
    Chapman and Hall/CRC

  • Preface



  • Preface



  • Artificial Intelligence in Telemedicine: Artificial Intelligence in Telemedicine Processing of Biosignals and Medical Images
    S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, and Farheen Siddiqui
    CRC Press

RECENT SCHOLAR PUBLICATIONS

    Publications











    GRANT DETAILS

    Awarded the Cyber Security Grant in the USA and South Korea

    RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

    My research interests are in Applied AI, Cyber Security, Smart Cyberspace, ICT and e-Services, and MIS. I published nineteen (19) books:-fifteen (15) published and one (1) in press , plus three (3) new books in progress, seven (7) Edited Books (Special Issues) plus one (1) in progress, sixteen (16) Book Chapters plus three (3) in progress, thirty nine (39) peer reviewed journal papers, plus 3 in progress, one (1) AI Blog Article, one (1) Research Topic, and one (2) Special Issues. I’ve presented one hundred and fifty-nine (159) Conference Papers, including Plenary, Keynote, TP, and over 100 invited Colloquial Talks worldwide.

    CONSULTANCY

    Panelist: US National Science Foundation
    Expert: European Commission

    Industry, Institute, or Organisation Collaboration

    Chartered Engineer
    Professional Engineer
    Chartered Information Technology Professional

    INDUSTRY EXPERIENCE

    Senior IT Expert -

    STARTUP

    Head of Community Edorer -

    SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

    Mentor: