Academic Website

About Me

I am Thacha Lawanna, a lecturer at the International College of Digital Innovation (ICDI), Chiang Mai University, Thailand. My research focuses on digital innovation, artificial intelligence, Case-Based Reasoning (CBR), FinTech, machine learning, data science, cybersecurity, and digital transformation. I am particularly interested in developing intelligent and adaptive frameworks that apply emerging technologies to solve complex real-world problems. My work explores Generative AI, Large Language Models, intelligent agents, big data, blockchain, and intelligent process automation. As an educator and researcher, I aim to connect theoretical knowledge with practical applications and contribute to innovative, sustainable, and human-centered digital solutions for society.

My work focuses on applying technology and innovative methods to solve real-world problems in business, education, and society.

Research Areas

Artificial Intelligence & Machine Learning

Specialized in Case-Based Reasoning (CBR) systems, Explainable AI (XAI), and integrating CBR with autonomous multi-agent coordination or Large Language Models (LLMs).

Educational Technology

Actively researches AI-driven instructional design, learning analytics, and generative AI-powered reflective learning dashboards to enhance higher education performance.

Practical Applications

My engineering frameworks extend into dynamic digital environments, including fraud detection, adaptive digital marketing decision-making, and IoT-driven agricultural remote sensing.

Some of My Publications

Thacha Lawanna, "Multimodal ChatGPT-Driven Learning Companion for Code Reasoning and Concept Mastery in Computing Education", International Journal of Modern Education and Computer Science(IJMECS), Vol.18, No.2, pp. 54-81, 2026. DOI:10.5815/ijmecs.2026.02.04

Lawanna, T. (2026). Case-Based Reasoning for Sustainable Energy Innovation: An Adaptive Framework for Reducing Environmental Impact. Journal of Intelligent Decision Making and Information Science, 3(10s), 2697-2728.

Lawanna, T. (2026). Enhancing the Evaluation Framework for Capstone Projects in Information Technology Undergraduate Programs. International Journal of Modern Education and Computer Science, 18(4), 141.

See my publication

Courses

888313 Design Thinking

This course develops students’ knowledge and practical skills in design thinking for digital transformation. Students learn user empathy, problem definition, ideation, prototyping, testing, iterative design, agile project management, implementation, continuous improvement, and performance measurement. The course emphasizes applying design thinking to solve business problems and create innovative digital solutions.

888352 Technology Improvement for New Entrepreneurs

This course develops knowledge and practical skills in technology entrepreneurship for new ventures. Students learn to identify technological opportunities, apply lean startup methods, build effective teams and business models, develop and prototype products, enter international markets, and implement scaling strategies. Emphasis is placed on innovation, adaptability, and sustainable business growth.

888153 Digital Transformation in Management Science

This course develops knowledge of digital transformation in management science. Students examine emerging technologies, digital business processes, organizational adaptation, and future management practices. The course emphasizes analyzing digital impacts, integrating new technologies into management applications, redesigning business processes, and developing effective digital transformation strategies for organizations operating in dynamic digital environments.

888154 Digital Applications for Future Organizations

This course develops students’ understanding of digital applications for future organizations. Students explore modern organizational characteristics, essential workplace applications, effective use of digital tools, and emerging technologies. The course emphasizes selecting and applying appropriate digital solutions to enhance organizational performance, collaboration, productivity, adaptability, and readiness for future digital environments.

888155 Innovation in the Age of AI

This course develops students’ understanding of AI-driven innovation in the digital age. Students explore core AI technologies, real-world applications, strategic decision-making, and industry transformation. The course emphasizes innovative uses of AI, practical case studies, ethical challenges, responsible AI practices, and emerging trends shaping the future of organizations, industries, and society.

Research Methodology

How to use AI to write academic papers

Assoc. Prof. Dr. Thacha Lawanna

ICDI-CMU