Welcome to the Intelligent Sensor Networks Laboratory (ISNL), where we advance cutting-edge technologies at the intersection of artificial intelligence, advanced sensing, and smart systems. Our research focuses on developing innovative solutions for energy-efficient navigation, healthcare monitoring, and intelligent environments.
We specialize in AI-driven algorithms and contactless sensing to enhance security, well-being, and sustainability. From smart healthcare systems for elderly care and intelligent localization and navigation to smart building optimization and next-generation sensor networks, our lab is committed to shaping the future of intelligent sensing applications.
Join us as we push the boundaries of AI and sensor intelligence to create smarter, safer, and more connected environments.
Call for Research Interns
2026
TOPICS:
Smart Factory: Vertical AI
AI and Evolutionary Driven Energy Efficient and Secure Navigation
Contactless Stress Detection
Occupancy Monitoring in Smart Buildings
Stress detection with mmWave and Computer Vision
Quantum technology for smart monitoring
WMGPT: Towards 24/7 Online Prime Counseling with ChatGPT
We are actively seeking PhD and Master’s students to join the ISNL laboratory. The program typically lasts 2–4 years, offering opportunities to work on cutting-edge research in intelligent sensing and AI-driven systems.
Tentative research directions include:
AI-Driven and Evolutionary Algorithms for Smart Navigation
Acoustic Underwater Wireless Sensor Networks
LLMs for Pervasive Smart Healthcare
Contactless Vital Signs Detection
Our lab focuses on theoretical research. We expect candidates to have strong mathematical background and solid logical thinking skills, with a knowledge in EE, CS, Math, or Physics. Candidates should demonstrate strong academic performance, typically with GPA within top 10%, or with rich experience in academic competitions or projects, or with sound publication track record (for graduate students). You will closely work with the supervisor for your research. You will have opportunities to work on joint projects collaborated with other groups to build up cross-area research skills (AI, image/video processing, acoustic signal processing, etc.). Attending international conference and visiting oversea research institutes are also encouraged.
If interested, please send in your (i) CV, (ii) transcripts, and (iii) one sample report (English version preferred) to andrescn@chosun.ac.kr.
The lab also looks for Postdoc in sparse signal processing, machine learning, artificial neural network, millimeter wave communications, underwater communications, or candidates with strong background in optimization theory, estimation theory, or reinforcement learning. Postdocs in our lab are expected to focus on research with some minor duties to help write proposals and co-mentor students.
If interested, please send in your complete CV, 1-2 pieces of your representative work, and a short paragraph on your tentative research direction (email: andrescn@chosun.ac.kr).
We welcome bachelor’s students, visiting students, and research assistants to join our lab.
Bachelor’s Students
Undergraduate students are encouraged to apply, especially those with a GPA in the top 10%. Students are expected to develop computer simulations for experimental validation, analyze technical documents, and design experiments. Strong programming skills are essential, with proficiency in Matlab and Python, as well as experience in conducting rigorous experiments. Good English writing skills are also required. The primary goal should be engaging in scientific research and publishing quality conference papers. A strong academic record in core courses is expected.
Research Assistants (RAs)
Research assistants should hold a bachelor’s degree in Electrical Engineering (EE) or Computer Science (CS) and have plans for further advanced studies. A minimum commitment of four months is required. RAs can either contribute to ongoing lab projects or propose research topics of mutual interest in discussion with the supervisor. The lab provides support for necessary resources, publication funding, and documentation assistance.
If interested, please send in your complete CV and transcripts to andrescn@chosun.ac.kr.
There are additional government funds available. Please check Funds Page.