Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award

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Mr. Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award 

Lecturer, University of South Africa, South Africa

Kgaogelo Edwin Ramatsetse is a dedicated lecturer and food science researcher at the University of South Africa (UNISA), specializing in food safety and functional meat product innovation. With a passion for advancing nutritional science, he explores the use of indigenous African crops like Bambara groundnut and Moringa oleifera to enhance meat quality and public health outcomes. His interdisciplinary approach integrates food microbiology, product development, and preservation technologies. Recognized as the Best Graduand in Food Science and Technology at the University of Venda, Ramatsetse continues to mentor students, collaborate with research teams, and publish impactful scientific articles that contribute to both academic advancement and industry transformation.

Professional Profile

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🎓 Education

Ramatsetse holds a Master of Science (MSc) in Food Science and Technology from the University of Venda. His academic training focused on bioprocessing, nutritional analysis, quality assurance, and food preservation. This solid foundation has guided his professional path as an educator and researcher.

đź’Ľ Experience

Ramatsetse’s career journey spans academia, government research, and the private sector. He served as a Research and Innovation Intern at the University of Venda, a Laboratory Assistant, and later interned at the Agricultural Research Council. He also gained industry exposure at Cavalier Foods. Currently, as a lecturer at UNISA, he leads research initiatives, mentors undergraduate and postgraduate students, and contributes to academic development through publications and conferences.

🔬 Research Interests

His primary research interests include food safety, meat science, nutritional enhancement through functional ingredients, and the valorization of underutilized crops. He is particularly interested in the microbiological safety of meat products and how plant-based fortification can improve shelf life, sensory attributes, and health benefits. Ramatsetse is also developing a PhD proposal focusing on meat safety, microbial hazards, and regulatory frameworks.

đź“šPublications Top Notes

“Effects of Adding Moringa oleifera Leaves Powder on the Nutritional Properties, Lipid Oxidation and Microbial Growth in Ground Beef during Cold Storage”
Authors: Mashau ME, Ramatsetse KE, Ramashia SE
Journal: Applied Sciences, Vol. 11(7), Article 2944 (2021)
Citations: 44
Summary: This experimental study demonstrated that incorporating Moringa oleifera powder into ground beef significantly improved its antioxidant stability, delayed lipid oxidation, and inhibited microbial growth during refrigeration. The findings support the use of natural plant additives for extending the shelf life and enhancing the nutritional profile of meat products.

“A Review on Health Benefits, Antimicrobial and Antioxidant Properties of Bambara Groundnut (Vigna subterranea)”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: International Journal of Food Properties, Vol. 26(1), pp. 91–107 (2023)
Citations: 39
Summary: This comprehensive review compiled existing research on the health-promoting properties of Bambara groundnut, highlighting its high protein content, bioactive compounds, and potential as a sustainable functional ingredient. The paper emphasized its antioxidant and antimicrobial capabilities, encouraging its use in food systems, especially meat formulations.

“Impact of Industrial Revolutions on Food Machinery – An Overview”
Authors: Jideani AIO, Mutshinyani AP, Maluleke NP, Mafukata ZP, Sithole MV, et al. (incl. Ramatsetse KE)
Journal: Journal of Food Research, Vol. 9(5), pp. 42–52 (2020)
Citations: 27
Summary: This article reviewed the evolution of food processing machinery across industrial revolutions, discussing advancements in automation, digitalization, and intelligent systems. Ramatsetse’s contribution helped assess how modern machinery can improve food safety, quality, and efficiency in production.

“The Incorporation of Moringa oleifera Leaves Powder in Mutton Patties: Influence on Nutritional Value, Technological Quality, and Sensory Acceptability”
Authors: Khomola GT, Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Open Agriculture, Vol. 6(1), pp. 738–748 (2021)
Citations: 10
Summary: This study assessed the effects of adding Moringa leaf powder to mutton patties. It showed improvements in protein and fiber content, while enhancing water-holding capacity and maintaining consumer acceptability. The research validates the role of Moringa in creating healthier, functional meat products.

“Effect of Partial Mutton Meat Substitution with Bambara Groundnut (Vigna subterranea (L.) Verdc.) Flour on Physicochemical Properties, Lipid Oxidation, and Sensory Attributes”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Food Science & Nutrition, Vol. 12(6), pp. 4019–4037 (2024)
Citations: 6
Summary: This recent article explored replacing mutton with Bambara groundnut flour in patties. The results showed improved moisture retention and antioxidant capacity, while reducing saturated fat content. It also maintained favorable taste and texture, supporting plant-based meat innovation.

🏅 Conclusion

Kgaogelo Edwin Ramatsetse is a promising researcher whose academic achievements and published work are already contributing to food safety, public health, and sustainable innovation in meat science. His research addresses timely challenges in nutrition and food preservation, using African resources to find global solutions. With a total of 8 journal publications, a citation index of 4, and several high-impact articles, he continues to expand his influence in both academic and applied food science. His commitment to student mentorship, multidisciplinary collaboration, and research dissemination makes him a strong candidate for the Best Researcher Award.

Satish Kabade | Computer Science and Artificial Intelligence | Best Industrial Research Award

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Mr Satish Kabade | Computer Science and Artificial Intelligence | Best Industrial Research Award

Product Technical Expert, Communication Experts, United States

Satish Kabade is a seasoned IT Consultant and Solutions Architect with over 17 years of experience in software development, enterprise architecture, and cloud computing. He is renowned for his expertise in Microsoft .NET and Azure technologies, leading cross-functional teams to deliver scalable, high-performing solutions. Satish has been instrumental in integrating AI and Machine Learning into pension management systems, enhancing automation, risk analysis, and predictive analytics. His work includes developing AI-driven fraud detection algorithms, personalized retirement benefit recommendations, and AI-based chatbots for member inquiries. He holds certifications as an Azure Solution Architect, TOGAF 9 Certified Architect, and Certified Scrum Master. Satish is also a mentor, conducting workshops on design patterns, best coding practices, cloud migration strategies, and AI/ML implementation.

Profile

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Education 

Satish Kabade’s educational background reflects a strong foundation in technology and cloud computing. He completed a Post Graduate Program in Cloud Computing from Great Learning in 2021, equipping him with advanced knowledge in cloud technologies. Prior to this, he earned a Post Graduate Diploma in Computer Applications from CDAC, Pune, in 2006, which provided him with a comprehensive understanding of software development and computer science principles. His academic journey began with a Bachelor of Engineering in Mechanical Engineering from Shivaji University, Solapur, in 2004, showcasing his analytical and problem-solving skills. This diverse educational background has enabled Satish to bridge the gap between traditional engineering and modern IT solutions, making significant contributions to the integration of AI and cloud technologies in various domains, particularly in pension management systems.

Experience 

With over 17 years in the IT industry, Satish Kabade has amassed extensive experience in software development, enterprise architecture, and cloud computing. He has designed and developed full-stack solutions using .NET Core, C#, ASP.NET, and AWS cloud technologies, ensuring seamless integration between front-end and back-end components. Satish has leveraged AWS Cloud services such as EC2, S3, Lambda, and RDS to deploy, scale, and manage cloud-based applications, ensuring high availability and fault tolerance. His expertise extends to integrating AI and Machine Learning solutions into pension management systems, enhancing automation, risk analysis, and predictive analytics. Notably, he has developed AI/ML-based predictive analytics for retirement planning and investment forecasting, improving decision-making for pension fund administrators and members. Additionally, Satish has implemented AI-driven fraud detection algorithms for pension disbursements and payroll processing, minimizing risks and ensuring regulatory compliance.

Research Focus

Satish Kabade’s research focus centers on the integration of Artificial Intelligence (AI) and Machine Learning (ML) into pension management systems to enhance automation, risk analysis, and predictive analytics. He has developed AI/ML-based predictive analytics for retirement planning and investment forecasting, enabling improved decision-making for pension fund administrators and members. His work includes implementing AI-driven fraud detection algorithms for pension disbursements and payroll processing, minimizing risks and ensuring regulatory compliance. Satish has also designed and implemented Machine Learning models for personalized retirement benefit recommendations, leveraging historical contribution data and economic trends. Additionally, he has developed AI-based chatbots and virtual assistants for member inquiries, streamlining benefits administration and customer support. His research aims to improve the efficiency, security, and personalization of pension systems, contributing to the broader field of AI applications in financial services.

Publication Top Notes

  1. “AI-Driven Financial Management: Optimizing Investment Portfolios through Machine Learning”

    • Authors: T.V. Ambuli, S. Venkatesan, K. Sampath, Kabirdoss Devi, S. Kumaran

    • Published: August 2024

    • Conference: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT)

    • Summary: This paper explores the application of AI and ML in optimizing investment portfolios, focusing on enhancing financial management strategies through advanced computational techniques.

  2. “A Machine Learning Model for Algorithmic Optimization of Superannuation Schemes”

    • Authors: Winfred Katile Mukunzi, Brian Wesley Muganda, Bernard Shibwabo

    • Published: October 2024

    • Summary: The study develops a machine learning-based recommendation model for optimal asset portfolio selection and allocation in superannuation schemes, addressing challenges in financial market uncertainties.

  3. AI-Driven Fraud Detection in Investment and Retirement Accounts
    Author: Ajay Benadict Antony Raju
    Published in: ESP International Journal of Advancements in Computational Technology, Volume 2, Issue 1, 2024

    Summary:
    This paper discusses the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in detecting fraudulent activities within investment and retirement accounts. It highlights the limitations of traditional fraud detection methods and emphasizes the advantages of AI and ML in analyzing large datasets to identify patterns indicative of fraudulent behavior. The study underscores the importance of integrating AI-driven approaches to enhance the security and integrity of financial systems.ESP Journals

  4.  Enhancing AI-Based Financial Fraud Detection with Blockchain
    Authors: Prof. Kumar Lui, Prof. Kusal Fisher, Prof. Shyam Raj
    Published in: International Journal of Holistic Management Perspectives, Volume 4, Issue 4, 2023

    Summary:
    This article explores the integration of Blockchain technology with AI-based financial fraud detection systems. It examines how blockchain’s decentralized and immutable nature can complement AI models to provide more robust and transparent fraud detection mechanisms. The paper discusses various use cases and the potential benefits of combining these technologies to combat financial fraud effectively.

Conclusion

Satish Kabade is a highly capable technologist and applied researcher, especially in AI/ML integration within legacy government and pension systems. His work shows clear innovation, enterprise-scale application, and practical relevance, which are key strengths for industrial research recognition. However, for a Best Industrial Research Award, the lack of formal research dissemination (papers, presentations, patents) may be a limiting factor unless the award heavily favors applied over academic research.