Welcome to the AToMM — Advanced Techniques & Mixed-Methods Laboratory at KCGI.
We develop data-science solutions that integrate advanced analytics, machine learning, and statistical modeling with qualitative inquiry to tackle complex, real-world problems. By combining quantitative and qualitative evidence, we generate deeper insights and actionable tools. Our interdisciplinary team collaborates across domains.
Professor, President of KCGI
Research fields: database, data warehouse, data mining, business intelligence (Bi)
Research interests:
Email: terashita@kcg.ac.jp
Homepage: https://www.kcg.edu/en/faculty/professor/y-terashita
Associate professor, KCGI
Research fields: data science, data analytics
Research interests: data engineering, data mining, data visualization
Email: t_dinh@kcg.ac.jp, it08duytai@gmail.com
Master student, KCGI
Research fields: biotechnology, data science, business analysis, product analysis, UX Research Research interests: data-driven decision making, human-centered research, product strategy, biostatistics
Email: daud55495@gmail.com
Master student, KCGI
Research fields: data science, machine learning, data analytics
Research interests: big data, neural networks, data engineering
Email: roohulamin935@gmail.com
Master student, KCGI
Research fields: data science, data analytics, data visualization, machine learning, NLP, image processing
Research interests: NLP, deep learning, data clustering, machine learning
Email: partho.21partho@gmail.com
Master student, KCGI
Research fields: lulc mapping, remote sensing & gis, time-series analysis, geospatial machine learning
Research interests: categorical time-series clustering, spatiotemporal pattern detection, earth observation data analysis, urban growth & environmental monitoring
Email: afaqkanfa@gmail.com
Master student, KCGI
Research fields: lulc mapping, xAI, remote sensing & geobia, deep learning image segmentation, interpretable machine learning
Research interests: object-based lulc segmentation, xAI, interpretable rule mining, high-resolution geospatial analysis, trustworthy gis-ai, transparent and auditable lulc systems
Email: farhajkalsi@gmail.com
Homepage: www.linkedin.com/in/farhaj-habib
Master student, KCGI
Research fields: data science, artificial intelligence, economics, econometrics, analytics, fintech
Research interests: artificial intelligence, machine learning, predictive analytics, econometrics, trade analytics, risk modeling, blockchain ai solutions, sentiment analysis, data analytic
Master student, KCGI
Research fields: tourism data analytics, machine learning applications
Research interests: tourism demand forecasting, hybrid prediction models, cultural tourism insights, sustainable tourism development
Email: hkgtskariyawasam@gmail.com
Master student, KCGI
Research fields: data science, pattern mining, machine learning applications, predictive analytics
Research interests: High-utility sequential pattern mining, interactive frameworks for pattern discovery, algorithm optimization for large datasets, predictive modeling and data-driven decision systems, applications of pattern mining in agriculture, tourism, and education
Master student, KCGI
Research fields: data mining, data analysis and visualization
Research interests: data mining, data science
Email: yelungarsenal1@gmail.com
Master student, KCGI
Research fields: data science, data analytics
Research interests: data science, data analytics, data visualization, machine learning
Email: thosaka0510@gmail.com
Master student, KCGI
Research fields: data science and machine learning, embedded systems, IoT, automation, and control systems
Research interests: sentiment analysis, predictive maintenance using sensor data, smart automation and robotics, real-time data processing on microcontrollers, deep learning on edge devices, signal processing and sensor fusion, computer vision for automated systems
Master student, KCGI
Research fields: data science, data analytics, business analytics
Research interests: sentiment analysis, quantitative finance, consumer behavior, prediction-based reasoning.
Email: jahidhasan0704@gmail.com
Master student, KCGI
Research fields: Business analysis, UX research, product analysis, product design
Research interests: data-driven decision making, user experience design, product strategy, human-centered research
Email: suraj123bhatt321@gmail.com
Former master student, KCGI
Research fields: data science, AI, finance, economics, and accounting
Research interests: sentiment analysis, NLP, quantitative finance, anomaly detection, prediction-based reasoning, data mining
Email: shehan4101@gmail.com
Former master student, KCGI
Research fields: data science, data analytics, data visualization
Research interests: data science, AI, data visualization, sentiment analysis, data analytics
Email: panchama.amani97@gmail.com
Former master student, KCGI
Research fields: food science, human nutrition, dietetics, data mining, data analysis
Research interests: noncommunicable diseases, public health, epidemiology, biostatistics
Email: madushawijesinghe434@gmail.com
Homepage: https://www.linkedin.com/in/madusha-wijesinghe-03159554/
Former master student, KCGI
Research fields: data science, data analytics, environment
Research interests: data science and analytics, energy science and engineering
Email: maplewonghauchi@gmail.com
Former master student, KCGI
Research fields: data science, data analytics, business analytics, marketing
Research interests: data clustering, customer segmentation, consumer behaviour.
Email: khans7980@gmail.com
Homepage: http://www.linkedin.com/in/rameesh-khan-
Former master student, KCGI
Research fields: data science, data analytics
Research interests: artificial intelligence, machine learning
Email: joshilalit9654@gmail.com
Former master student, KCGI
Research fields: database, data analytics
Research interests:
Email: knsanjaya@gmail.com
Former master student, KCGI
Research fields: data science, data analytics, IoT, computer science
Research interests: data science and analytics, big data, cloud computing and cloud native, AI, IoT, software development and testing
Email: cm19981025@gmail.com
Former master student, KCGI
Research fields: data science, data analytics, data visualization, machine learning
Research interests: databases, big data, data mining, machine learning
Email: sanjaysedai@gmail.com
Homepage: https://www.linkedin.com/in/sanjay-sedai-83b91697/
Former master student, KCGI
Research fields: data science, machine learning, artificial intelligence
Research interests: predictive modeling, natural language processing, deep learning applications in various domains
Email: hannouda.amal@gmail.com
Former master student, KCGI
Research fields: machine learning and data mining, recommendation systems, data visualization, and visual analytics
Research interests: social network analysis,privacy-preserving data mining, causal inference, and counterfactual analysis
Email: gyjoshua123@gmail.com
Journals:
[4] Tai Dinh, Dat Tran, Zdena Dobesova, Huynh Van Hong, Daniil Lisik, Rameesh Khan. “An Efficient Fusion-based Deep Learning Framework for Land Use and Land Cover Image Clustering”. Engineering Applications of Artificial Intelligence, 161, 112061.
[3] Tai Dinh, Wong Hauchi, Daniil Lisik, Michal Koren, Dat Tran, S.Yu Philip, Joaquín Torres-Sospedra. “Data clustering: a fundamental method in data science and management. Data Science and Management”, 2025.
[2] Daniil Lisik, Rani Basna, Tai Dinh, Christian Hennig, Syed Ahmar Shah, Göran Wennergren, Emma Goksör, Bright I. Nwaru, “Artificial intelligence in pediatric allergy research.” European Journal of Pediatrics, volume 184, no. 1, pages 1-20, 2025 [Paper]
[1] Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh, “Categorical data clustering: 25 years beyond K-modes.” Expert Systems with Applications, page 126608, 2025 [Paper, Github]
Conferences:
[3] Daud Santoso, Tai Dinh, Shehan Liyanaarachchi, and Wuyi Yue. “A Mixed-Methods Framework for Analyzing Travel Reviews with LLMs and MAXQDA: A Case Study in Osaka”, The 14th International Conference on Model and Data Engineering (MEDI 2025), 3-4 November 2025, Cairo, Egypt (Springer, to appear).
[2] Shehan Liyanaarachchi, Tai Dinh, Wuyi Yue, Trung Vo, Le-Minh Nguyen. “Sentiment Analysis of Travel Reviews in Kyoto Using LLMs”, The 21st International Conference on Advanced Data Mining and Applications, 22-24, October, 2025, Kyoto, Japan, pages 244–256, Springer, 2025.
[1] Rameesh Khan, Zdena Dobesova, Yu Yang, Tai Dinh. “Enhanced Feature-based Clustering for Urban Land Use Pattern Detection”, The 16th International Conference on Knowledge and Systems Engineering 2024, 5–7 November 2024, Kuala Lumpur, Malaysia, pages 78-83, IEEE.