For more up-to-date information, please visit my personal homepage www.commsp.ee.ic.ac.uk/~cling/
Cong Ling is currently a Senior Lecturer (equivalent to Associate Professor) in the Electrical and Electronic Engineering Department at Imperial College London. He is a member of the Academic Centre of Excellence in Cyber Security Research at Imperial College and an affiliated member of the Institute of Security Science and Technology of Imperial College.
He received the Bachelor and Master degrees from Nanjing Institute of Communications Engineering, China in 1995 and 1997 respectively, and the Ph.D. degree from Nanyang Technological University, Singapore in 2005. Before joining Imperial College, he had been on the faculties of Nanjing Institute of Communications Engineering and King's College. He visited Hong Kong University of Science and Technology as a Hong Kong Telecom Institute of Information Technology (HKTIIT) Fellow in 2009.
Dr. Ling is an Associate Editor (in multiterminal communications and lattice coding) of IEEE Transactions on Communications. He has also served as an Associate Editor of IEEE Transactions on Vehicular Technology and on the program committees of several international conferences including IEEE Information Theory Workshop, Globecom, and ICC. He is a member of IEEE.
Ling C, Belfiore J-C, 2019, Achieving AWGN Channel Capacity With Lattice Gaussian Coding (vol 60, pg 5918, 2014), Ieee Transactions on Information Theory, Vol:65, ISSN:0018-9448, Pages:5281-5281
Li C, Gan L, Ling C, 2019, Coprime sensing via Chinese remaindering over quadratic fields-part II: generalizations and applications, Ieee Transactions on Signal Processing, Vol:67, ISSN:1053-587X, Pages:2911-2922
Wang Z, Ling C, 2019, Lattice gaussian sampling by Markov Chain Monte Carlo: bounded distance decoding and trapdoor sampling, Ieee Transactions on Information Theory, Vol:65, ISSN:0018-9448, Pages:3630-3645
Li C, Gan L, Ling C, 2019, Coprime sensing via Chinese remaindering over quadratic fields-part I: array designs, Ieee Transactions on Signal Processing, Vol:67, ISSN:1053-587X, Pages:2898-2910
et al., 2019, Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes, IEEE International Symposium on Information Theory (ISIT), IEEE, Pages:221-225