Chee Peng Lim is affiliated with Deakin University in Australia, with a research focus spanning the fields of Computer Science and Engineering. Their work also encompasses several subfields including Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.
The scientist's recent research contributions include several papers with a variety of publication venues and years:
Lim has collaborated frequently with several co-authors, including:
Their publication record is distributed across multiple venues, illustrating a broad engagement with various scientific audiences. These venues include:
Lim's contributions to book publications are primarily through Springer Nature, with five titles focusing on artificial intelligence and healthcare among other topics. Some notable book titles include:
Their main research themes focus on applied and theoretical aspects of neural networks and control systems. Key topics in Lim's portfolio include:
Kuldeep Randhawa;Chu Kiong Loo;Manjeevan Seera;Chee Peng Lim
Kamlesh Mistry;Li Zhang;Siew Chin Neoh;Chee Peng Lim
Manjeevan Seera;Chee Peng Lim
Kai Meng Tay;Chee Peng Lim
Shanmugam Lakshmanan;Mani Prakash;Chee Peng Lim;Rajan Rakkiyappan
M. Seera;Chee Peng Lim;D. Ishak;H. Singh
Anas Quteishat;Chee Peng Lim
Thanh Nguyen;Chee Peng Lim;Ngoc Duy Nguyen;Lee Gordon-Brown
Hailun Xie;Li Zhang;Chee Peng Lim;Yonghong Yu
Siew Chin Neoh;Worawut Srisukkham;Li Zhang;Stephen Todryk
Hussein Samma;Chee Peng Lim;Junita Mohamad Saleh
Shin Siang Choong;Li-Pei Wong;Chee Peng Lim
Li Zhang;Kamlesh Mistry;Chee Peng Lim;Siew Chin Neoh
Manjeevan Seera;Chee Peng Lim;Saeid Nahavandi;Chu Kiong Loo
Hailun Xie;Li Zhang;Chee Peng Lim
Li Zhang;Kamlesh Mistry;Siew Chin Neoh;Chee Peng Lim
Unknown
Amin Khatami;Abbas Khosravi;Thanh Nguyen;Chee Peng Lim
Teck Yan Tan;Li Zhang;Chee Peng Lim
Worawut Srisukkham;Li Zhang;Siew Chin Neoh;Stephen Todryk
Bestoun S. Ahmed;Kamal Z. Zamli;Chee Peng Lim
Mohammed Falah Mohammed;Chee Peng Lim
Chee Peng Lim;Robert F. Harrison
Lakhmi C. Jain;Chee Peng Lim
Farhad Pourpanah;Moloud Abdar;Yuxuan Luo;Xinlei Zhou
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science opens doors to many related online degrees and fast-track career options in the USA. For those interested in data, consider a data scientist degree. This option combines computer science fundamentals with statistics and machine learning, preparing graduates for growing opportunities in tech and business sectors.
If your interests lean toward technology infrastructure, you might pursue an electrical engineering degree online admissions program. These online pathways allow working professionals or distant learners to upgrade skills without disrupting their schedule.
Short-term programs are also available. Many seek out 3-month certificate programs that pay well, which can offer quick entry into tech roles without a long-term commitment. This is ideal for career changers or those looking to upskill rapidly.
For advanced learners, pursuing the quickest cheapest masters degree can help you stand out in a competitive job market. These accelerated programs can be completed in as little as 12 to 18 months, balancing cost, speed, and career advancement.
Xi'an Jiaotong University
Nanjing Agricultural University
Tampere University
University of Missouri–Kansas City
Drexel University
University of Glasgow
Cleveland Clinic
University of Guelph
Keele University
AbbVie (United States)
KU Leuven
Roswell Park Comprehensive Cancer Center
Loyola University Chicago
Columbia University
Independent Scientist / Consultant, UK
University of California, Berkeley
