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

Google Scholar

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

“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.
“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.
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
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.

SAM MICHAEL ESPINOZA VIDAURRE | Artificial intelligence | Best Researcher Award

Posted on 21/10/202421/10/2024 by Popular EngineerLeave a Comment

Dr SAM MICHAEL ESPINOZA VIDAURRE | Artificial intelligence | Best Researcher Award

Doctor, Graduate School of the Private University of Tacna, Peru

Sam Michael Espinoza Vidaurre is a distinguished Doctor in Administration and a Master in Business Administration. He currently serves as a Renacyt research professor at the Universidad Privada de Tacna, where he teaches in doctoral and master’s programs. His professional background encompasses business administration and international business, complemented by his role as a trainer. He is also the coordinator of the University Social Responsibility Unit and has expertise in quality assurance audits, holding certifications in ISO standards. With a commitment to academic excellence, he advises undergraduate and postgraduate theses, fostering research and innovation.

Profile

Orcid

Strengths for the Award

Extensive Academic Background: Dr. Espinoza Vidaurre holds dual doctoral degrees and a master’s degree, showcasing his deep commitment to academic excellence in administration.
Diverse Teaching Experience: He has taught across various programs, including doctoral and master’s levels, at multiple universities. His role as a mentor for thesis research further demonstrates his dedication to student development.
Research Contributions: His published work covers critical topics such as knowledge management, project management in the mining sector, and the effects of COVID-19 on educational quality. This breadth of research highlights his versatility and relevance in current academic discussions.
Leadership in Research and Quality Assurance: As the coordinator of the Unit of Social Responsibility and with experience in quality assurance audits, he plays a significant role in promoting ethical and quality standards in academic research.
Recognition and Certifications: His certifications in ISO standards and his involvement in numerous conferences as a speaker indicate his expertise and recognition in the field.
Multilingual Proficiency: Proficiency in English and Portuguese enhances his ability to collaborate internationally and disseminate research findings widely.

Areas for Improvement

Broader Collaboration: While he has a strong foundation in local research, expanding collaborative projects with international researchers could enhance the impact of his work.
Increased Publication Output: While he has a solid number of publications, focusing on publishing in high-impact journals could further elevate his academic profile.
Engagement with Emerging Technologies: As digital transformation continues to shape the business landscape, incorporating more research on digital tools and methodologies could strengthen his contributions to modern administration.

Education

Sam holds a Doctorate in Administration and a Master’s in Business Administration from the Escuela de Postgrado de la Universidad Privada de Tacna. He earned his Bachelor’s degree in Administration and International Business from Universidad Alas Peruanas, alongside a Bachelor’s in Tourism and Hospitality from Universidad San Martin de Porres. His academic journey reflects a strong foundation in management and international business principles, preparing him for his current role in higher education. He continually seeks to enhance his expertise through various courses and seminars, focusing on quality management and research methodologies, which are critical for his teaching and research endeavors.

Experience

Sam has extensive teaching experience at the Universidad Privada de Tacna, where he is involved in various programs across multiple faculties, including Business Administration and International Business. His roles include teaching in the School of Postgraduate Studies and advising theses at both undergraduate and postgraduate levels. He has also provided external consultancy for businesses like Arica Inmobiliaria & Constructora and Comercial Consorcio Nikoc EIRL. His previous involvement with Universidad Alas Peruanas further enriched his expertise in education and administration. Additionally, he has contributed to various training programs and has participated in numerous seminars and international conferences, emphasizing his dedication to continuous professional development.

Research Focus

Sam’s research interests encompass knowledge management, organizational culture, technological capital, and scientific production. He actively investigates the impact of educational technologies on learning, particularly in English language acquisition, and explores the critical success factors in project management within Peru’s mining sector. His recent work has focused on the implications of artificial intelligence for academic integrity and quality in higher education. As a coordinator of the University Social Responsibility Unit, he integrates social considerations into his research, aiming to contribute to sustainable development in academia. His commitment to research is evidenced by his involvement in multiple publications, reflecting a multidisciplinary approach to addressing contemporary challenges in administration and education.

Publication Top Notes

📖 Perceptions of Artificial Intelligence and Its Impact on Academic Integrity among University Students in Peru and Chile: An Approach to Sustainable Education
📖 Chapter 2: Perceptions of Artificial Intelligence in Peruvian university students in 2024
📖 Efficacy of the Flipped Classroom Model on Students at Jorge Basadre Grohmann National University of Tacna in English Learning
📖 Use of Educational Videos in Higher Education to Improve the Teaching-Learning Process: Systematic Analysis
📖 Innovation and Digital Transformation in the Company
📖 Safety, occupational health and work performance of staff in a public project during the COVID-19 period
📖 Critical Success Factors in Project Management in the Mining Sector of Peru, 2022
📖 COVID-19 and Its Effects on the Management of the Basic Quality Conditions in Universities of Peru, 2022
📖 Understanding Factors That Influence Pest Risk in Olive Production

Conclusion

Dr. Sam Michael Espinoza Vidaurre exemplifies the qualities of a strong candidate for the Best Researcher Award through his extensive academic credentials, impactful research, and commitment to quality education. His leadership roles and diverse teaching experiences further underscore his potential to influence the field of administration significantly. Addressing the areas for improvement could enhance his already impressive profile, making him an even more formidable force in academia.

Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Posted on 25/05/202428/05/2024 by Popular EngineerLeave a Comment

Prof Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Prof Zdzislaw Kowalczuk , Gdansk University of Technology , Poland

Zdzisław Kowalczuk, Senior Member of IEEE, has been a Full Professor in automatic control and robotics at Gdańsk University of Technology since 1978. He has held visiting positions at University of Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University. His research interests include robotics, control theory, AI, and system diagnostics. Kowalczuk has authored 30 books, over 120 journal papers, and 350+ conference publications, with over 3,300 Google Scholar citations and an H-index of 21. He is President of the Polish Consultants Society and founder of PWNT publishing house, receiving numerous awards, including the SEP Medal in 2014. 🎓📚🏅

Publication profile

Google scholar

Academic Background 🎓

Zdzisław Kowalczuk (Senior Member, IEEE) has been with the Faculty of Electronics, Telecomm., and Informatics at Gdańsk University of Technology since 1978. He is a Full Professor in automatic control and robotics and the Chair of the Dept. of Robotics and Decision Systems. He has held visiting appointments at universities including Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University.

Scientific Contributions

His main scientific interests include robotics, control theory, system modeling, diagnostics, artificial intelligence, and control engineering. Kowalczuk has authored/co-authored about 30 books, over 120 journal papers, and over 350 conference publications. His Google Scholar citation index exceeds 3,300, with an H-index of 21.

Research Focus

Zdzisław Kowalczuk’s research focuses on several key areas within engineering and computer science. His primary interests include fault diagnosis and detection, particularly for automotive engines, and the development of intelligent systems for autonomous decision-making. He also explores system modeling and control theory, including the application of artificial intelligence and neural networks. Kowalczuk’s work extends to robotics, adaptive systems, and signal processing, with a notable focus on practical applications like leak detection in pipelines and thermal management in buildings. His contributions span theoretical foundations to real-world implementations, demonstrating a versatile and impactful research portfolio. 🚗🤖📊🔧

Publication Top Notes

Fault diagnicial intelligence, applications – J Korbicz, JM Koscielny, Z Kowalczuk, W Cholewa, Springer Science & Business Media, 2012, cited by 1064 📚osis: models, artif

Diagnostyka procesów: modele: metody sztucznej inteligencji: zastosowania – J Korbicz, JM Kościelny, Z Kowalczuk, W Cholewa, Wydawnictwa Naukowo-Techniczne, 2002, cited by 345 📘

Model based diagnosis for automotive engines-algorithm development and testing on a production vehicle – J Gerler, M Costin, X Fang, Z Kowalczuk, M Kunwer, R Monajemy, IEEE Transactions on Control Systems Technology, 1995, cited by 148 🚗

Thermal Barrier as a technique of indirect heating and cooling for residential buildings – M Krzaczek, Z Kowalczuk, Energy and Buildings, 2011, cited by 107 🏠

Model-based on-board fault detection and diagnosis for automotive engines – JJ Gertler, M Costin, X Fang, R Hira, Z Kowalczuk, Q Luo, Control Engineering Practice, 1993, cited by 100 🚗

Autonomous driver based on an intelligent system of decision-making – M Czubenko, Z Kowalczuk, A Ordys, Cognitive computation, 2015, cited by 98 🚘

Discrete approximation of continuous-time systems: a survey – Z Kowalczuk, IEE Proceedings G (Circuits, Devices and Systems), 1993, cited by 84 📈

Computational approaches to modeling artificial emotion–an overview of the proposed solutions – Z Kowalczuk, M Czubenko, Frontiers in Robotics and AI, 2016, cited by 75 🤖

Continuous-time approaches to identification of continuous-time systems – Z Kowalczuk, J Kozłowski, Automatica, 2000, cited by 49 ⏱️

Intelligent decision-making system for autonomous robots – Z Kowalczuk, M Czubenko, Uniwersytet Zielonogórski, 2011, cited by 38 🤖

Detecting and locating leaks in transmission pipelines – Z Kowalczuk, K Gunawickrama, Fault Diagnosis: Models, Artificial Intelligence, Applications, 2004, cited by 36 🛠️📈