Yuan Ze University

Innovative Technology Lab (InnoTechLab)

Po-Chiang Lin
https://pclin.github.io/

Research Field

Smart Computing (Information)

Introduction

Prof. Po-Chiang Lin received the B.S. degree in communication engineering from National Chiao Tung University, Hsinchu, Taiwan, R.O.C. in 1996, and the M.S. and Ph.D. degrees in communication engineering from National Taiwan University, Taipei, Taiwan, R.O.C. in 2005 and 2010, respectively. From 1998 to 2002, he was a system engineer with KG Telecom and SYSTEX Corporation. He is an assistant professor in the Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.. His research interests include Artificial Intelligence / Machine Learning / Deep Learning, Robotics, Computer Vision, Wireless and Mobile Communication Networks, and Maker and STEM Education.  From 2018 to 2022, he served as the deputy director of the Science Education Research Center of Yuan Ze University.  He served as Wireless Communications and Networking (WCN) Technical Committee (TC) Vice-Chair of the Asia-Pacific Signal and Information Processing Association (APSIPA) from December 2019 to December 2021, and served as WCN TC Chair of APSIPA from January 2022 to December 2023.

Contact information of Prof. Po-Chiang Lin:

  • Department of Electrical Engineering, Program B, Yuan Ze University
  • Rm. 70927, No. 135, Yuandong Rd., Zhongli Dist., Taoyuan City, Taiwan 320315, R.O.C.
  • Tel: +886-3-463-8800 Ext. 7333
  • Email: pclin@saturn.yzu.edu.tw

The Innovative Technology Lab (InnoTechLab) is with the Department of Electrical Engineering at Yuan Ze University (YZU).  In our lab, we investigate challenging problems and innovative technologies about Robotics, Computer Vision, Wireless and Mobile Communication Networks, and Maker and STEM Education.  In addition to novel ideas, we also focus on practical solutions and hands-on ability to transform ideas into reality.  In recent years, numerous students have been trained to engage in the research and development, and to participate in relevant competitions.  There has been a continuous accumulation of research efforts and achievements.  Our research and study group are led by Prof. Po-Chiang Lin.

Contact information of InnoTechLab:

  • Department of Electrical Engineering, Program B, Yuan Ze University
  • Rm. 70829, No. 135, Yuandong Rd., Zhongli Dist., Taoyuan City, Taiwan 320315, R.O.C.
  • Tel: +886-3-463-8800 Ext. 7011, 829


Research Topics
  • Artificial Intelligence / Machine Learning / Deep Learning
  • Robotics
  • Computer Vision
  • Wireless and Mobile Communication Networks
  • Maker and STEM Education

Honor
  • 2022 YZU Counseling and Services Outstanding Award
  • 2021 YZU Innovation in Teaching Excellent Award
  • 2021 YZU Teaching Outstanding Award
  • Best Conference Paper Award: Po-Chiang Lin, "SANPO Robot: Make Your Own Biped Humanoid Robot with Low Entry Barrier," 5th IEEE Eurasian Conference on Educational Innovation 2022 (IEEE ECEI 2022), Keelung, Taiwan, 10-12 February, 2022.
  • 2019 Taoyuan ROS Summer School - Robot Competition: Champion
  • 2018 YZU Counseling and Services Outstanding Award
  • 2016 YZU Teaching Outstanding Award
  • MOE Mobile Broadband Cutting Edge Technology Teaching Alliance: Mobile Broadband Networks and Applications: Best Outcome Video Award of Small Cell Innovative Applications and Services Course Module
  • 3rd place in the CIEE Youth Paper Award, 2005
  • IICM Master Thesis Award, 2005

Educational Background

Ph.D., Graduate Institute of Communication Engineering, National Taiwan University


2 Vacancies

Job Description

We are seeking enthusiastic researchers with an interest in robotics. You will be involved in our team's research in the field of robotics, including wheeled robots, bipedal humanoid robots, collaborative robotic arms, spatial perception using 2D/3D optical radar and depth cameras, integration of robots with large language models, and the development of systems related to generative artificial intelligence.

Job responsibilities include:

  1. Conducting paper surveys, reading, and participating in discussions.
  2. Designing or improving innovative hardware/software compared to existing methods.
  3. Conducting hands-on experiments to generate simulation/numerical results.
  4. Writing technical reports.

Robotics is a highly attractive field, with increasing contributions to and impact on the human world. Robot arms perform tasks such as handling, welding, and polishing in factories. Service robots operate in environments like restaurants and hotels by delivering meals, transporting luggage, and providing information. In the field of autonomous driving, robots are also making significant strides. However, to make robots more user-friendly, seamlessly integrate them into daily life and work, and further popularize them in various domains, numerous challenges still need to be overcome.

The interdisciplinary nature of robotics, involving fields such as electrical engineering, electronics, information technology, mechanics, mathematics, physics, linguistics, psychology, and more, adds to the challenges and allure of technological development in the field of robotics.

Many tasks that are straightforward for humans are remarkably challenging for robots and computers, such as everyday activities like picking up objects, folding clothes, cooking, cleaning, and even more complex capabilities like spatial perception, natural language understanding, and task generation and adjustment. Achieving these desired abilities in robots requires dedicated research, practical implementation, and continuous improvement.

In recent years, thanks to the explosive growth of deep learning technology, artificial intelligence has once again demonstrated exceptional potential for overcoming the aforementioned challenges. Advances in generative artificial intelligence and large language model technologies have the potential to revolutionize the way robots interact with humans, understand, and interpret their environments, and execute complex tasks. We continue our research in robotics-related technologies, engaging in both software and hardware implementations with the goal of making robots more beneficial to the human world!

Preferred Intern Education Level

Applicants of all levels, including seniors, bachelor's, or master's degree holders, are encouraged to apply for this position. We particularly welcome individuals interested in pursuing further studies or employment in Taiwan.

Skill sets or Qualities

Minimum Requirements:

  • Currently enrolled in or graduated from a program in Electrical Engineering, Computer Science, or a related field.
  • Proficiency in English, with strong skills in reading, writing, and oral communication.

Preferred Skill Sets:

  • Proficiency in Python and/or C++ programming.
  • Familiarity with Artificial Intelligence, Machine Learning, and Deep Learning concepts.
  • Experience with Deep Learning Frameworks such as TensorFlow or PyTorch.
  • Knowledge in Computer Vision.
  • Familiarity with Generative AI and Large Language Models.
  • Understanding of the Robot Operating System (ROS).