Invited Speakers

 

Assoc. Prof. Esteve Hassan
Acadia University, Canada

Dr. Esteve Hassan is an Associate Professor in the Jodrey School of Computer Science at Acadia University, where he leads innovative research and instruction in the fields of the Internet of Things (IoT), cyber‑physical systems, and machine learning. He earned his Ph.D. in Electronic and Computer Engineering from the University of Limerick, following an M.Eng. and B.Sc./M.Sc. in the same discipline.
Dr. Hassan’s research focuses on designing low-power, energy‑harvesting sensor modules, FPGA-optimized digital prototyping, and predictive analytics for IoT and Industry 4.0 applications. His scholarly work has resulted in multiple peer-reviewed publications, including recent contributions to anomaly detection in SELinux security policies. He is also a valued member of the NSERC Scholarships and Fellowships Review Committee for Computing Sciences, reflecting his national standing.
At Acadia, Dr. Hassan teaches courses in embedded systems, data analytics, and machine learning, and supervises undergraduate and graduate students on applied research projects leveraging wireless sensor networks and smart automation. His collaborative efforts span academia and industry, enhancing real-world impact through technology-driven solutions.

 

 

Assoc. Prof. Papis Wongchaisuwat
Kasetsart University, Thailand

Dr. Papis Wongchaisuwat is an Associate Professor in the Department of Industrial Engineering at Kasetsart University, Thailand. She received her Ph.D. from Northwestern University, USA. Her research focuses on data analytics, machine learning, and deep learning, with an emphasis on developing interpretable and practical artificial intelligence solutions for complex real-world challenges. Her interdisciplinary research spans three major application domains: medical and healthcare, food and agriculture, and water resources management. Across these fields, she develops data-driven methods for prediction, classification, optimization, and decision support to improve operational efficiency and facilitate informed decision-making. In addition to her academic research, Dr. Wongchaisuwat actively conducts consulting projects with organizations across diverse industries, including manufacturing, electric utilities, and financial institutions. She has published her work in international journals and actively collaborates with academic, government, and industry partners to translate research into practical impact.