Advancing Energy‑Autonomous IoT Systems ‑ Sukanya Jewsakul new Post Doc at STC
Sukanya Jewsakul joins STC at Mid Sweden University to develop self-sustaining IoT systems, using energy harvesting to reduce costs, extend lifetimes, and support environmental sustainability.
What is your background?
My name is Sukanya Jewsakul. I graduated with a PhD degree in Electrical and Electronic Engineering from The University of Hong Kong, Hong Kong. I obtained a Master’s degree and a Bachelor’s degree (with Second Class Honour), both in Computer Science, from Kasetsart University, Thailand. During my PhD studies, my research focus was mainly on investigating embedded machine learning-based techniques to enable energy-neutral operation in energy-harvesting LoRa networks. I am passionate about embedded wireless sensor networks, energy harvesting, and embedded machine learning. I have been working in various areas of wireless sensor networks for over a decade now.
How come you chose Mid Sweden University and Sweden for your Post Doc?
Known for its environmentally-sustainable technologies and innovative research, Sweden is my first choice when it comes to job hunting. Before my graduation, I was searching for a postdoctoral position to broaden and strengthen my research experience in the fields of energy harvesting and embedded wireless systems. I found a job opportunity at Mid Sweden University that exactly matched my research interests. So, I applied for it. Actually, this was the first and the only postdoctoral position I applied for at that time.
What does your research focus on?
My research focuses on enabling energy autonomy in embedded wireless sensor systems. Particularly, I am designing and developing algorithms to circumvent the impacts of temporary power failures on the availability and reliability of embedded wireless sensors powered by energy harvesting. To deal with the spatio-temporal heterogeneity of energy-harvesting rates among embedded wireless sensors, embedded machine learning techniques are employed to enable predictive energy allocation and management.
How can your research contribute to society and the industry?
My research paves the way for self-sustained Internet-of-Things systems. Being powered by energy harvesting, embedded wireless sensors are energy independent and require less maintenance throughout their prolonged lifetimes. Apart from eliminating the cost of frequent battery replacement, the use of more sustainable energy storage in energy-harvesting systems is also beneficial to physical environments in general.