Lee Khai is a litigator more than 25 years of experience. He now mainly acts as counsel, both for trials and appeals, in various areas of law. He also appears as counsel in arbitration proceedings and land appeal matters. He is presently the managing partner of our firm.

Associate Professor Ts. Dr. Mohamad... Universiti Utara Malaysia, College of Business, School of Technology Management & Logistics. Less for more: The structural effects of lean manufacturing...

2019年7月16日 · Advisor to Penang Art District, Chairman of the Penang State Art Gallery and a full-time lawyer, Lee Khai is also one of the largest private art collector in Penang. He is well known in the Penang arts scene as an avid supporter of Malaysian art.

2,132 Followers, 2,179 Following, 1,122 Posts - Lee Khai Loon (@leekhailoon509) on Instagram: "Penang State Assemblyman for Machang Bubuk, Penang"

Ts. Dr. Lee Khai Loon is an Associate Professor and Deputy Director of the Center for Strategic Academic Collaboration in the Academic and International Affairs Department, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). Besides, he was the former Deputy Dean of Academic & Student Affairs in the Faculty of Industrial Management (FIM), UMPSA.

Professor Lee Khai Ern is currently the Head of the Research Centre for Sustainability Science and Governance (SGK) at the Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia (UKM). His expertise lies in the field of Green Technology and Sustainability Management (ESG).

Art collecting sounds intimidating and daunting to many. We gathered some insights from art collectors Lee Khai and Suleyman Azhari… Penang Art District brought a group of art …

Profesor Ts. Dr. Lee Khai Ern merupakan Ketua Pusat Penyelidikan Sains dan Governans (SGK), Institut Alam Sekitar dan Pembangunan (LESTARI), Universiti Kebangsaan Malaysia (UKM). Beliau mempunyai kepakaran dalam Teknologi Hijau (Green Technology) dan Pengurusan Kelestarian (Sustainability Management).

LEE KHAI CHIEN . Efficient Frequency-Dependent Coefficients of Explicit Improved Two-Derivative Runge-Kutta Type Methods for Solving Third-Order IVPs.