▶ Education

Ph.D. in Computer Engineering,  North Carolina State University

M.S. in Electrical Engineering, University of Maryland at College Park

B.S. in Electrical Engineering, Inha University

▶ Research Interests

- Hardware implementation of machine learning algorithms

-Development of unified machine learning accelerator suitable for mobile cloud computing (Basic Science Research Program through NRF (NRF-2014R1A1A2058198))

▶Configurable data streaming unit for machine learning accelerators

- Applications of machine learning algorithms

- Applying machine learning to biometric verification

- Applying machine learning to context awareness

- Applying machine learning to processor architecture

- Applying machine learning to data mining

▶ Publications

[International Journal]

- Chungsoo Lim, Joon-Hyuk Chang, “Efficient implementation technique of an SVM-based speech/Music classifier in SMV”, Multimedia Tools and Applications,  2015.

- Chungsoo Lim, J.-H. Choi, S.W. Nam, and J.-H. Chang, "A new television audience measurement framework using smart devices," Multimedia Tools and Applications, 2014.

- S. Lee, Chungsoo Lim, and J.-H. Chang, “A new a priori SNR estimator based on multiple linear regression technique for speech enhancement,” Digital Signal Processing, 2014.

- Chungsoo Lim, S. Lee, J.-H. Choi, and J.-H. Chang, "Efficient implementation of statistical model-based voice activity detection using Taylor series approximation," IEICE Transactions on Fundamentals, 2014.

- S. lee, J.-H. Chang, S. W. Nam, Chungsoo Lim, S. Rajan, H. Dajani, and V. Groza, "Oscillometric blood pressure estimation based on maximum amplitude algorithm employing Gaussian mixture regreesion", IEEE Transaction on Instrumentation and Measurement, 2013.

- Chungsoo Lim, Sang Won Nam, and Joon-Hyuk Chang, "Fast SVM-based epileptic seizure prediction employing data prefetching", Electronics letters, 2013.

- Chungsoo Lim, Seong-Ro Lee, and Joon-Hyuk Chang, "Efficient implementation of an SVM-based speech/music classifier by enhancing temporal locality in support vector references", IEEE Transaction on Consumer Electronics, 2012. 

- Chungsoo Lim, Joon-Hyuk Chang, "Enhancing SVM-Based speech/Music classification using conditional MAP criterion", IET Signal Processing), 2012.

- Chungsoo Lim, Joon-Hyuk Chang, "Improvement of SVM-Based speech/Music classification using adaptive kernel technique", IEICE Transaction on Information and Systems, 2012.

- Chungsoo Lim, Joon-Hyuk Chang, "Adaptive kernel function of SVM for improving speech/Music classification of 3GPP2 SMV", ETRI Journal, 2011.

[International Conference]

- B.-K. Lee, Chungsoo Lim, J. Park, J.-H. Chang, "Enhanced muting method in packet loss concealment of ITU-T G.722 employing optimized sigmoid function," Proc. Interspeech, pp. 3458-3462, 2013.

- Chungsoo Lim, Seong-Ro Lee, Yeon-Woo Lee, Joon-Hyuk Chang, "New Techniques for Improving the Practicality of an SVM-Based Speech/Music Classifier", Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012.

- Chungsoo Lim, Seong-Ro Lee, Dong-Kook Kim, Joon-Hyuk Chang, "Efficient Digital Sound Processing for Speech/Music Classification Using Support Vector Machine", Proc. of International Conference on Computer and Applications,  2012.

- Chungsoo Lim, Joon-Hyuk Chang, Seong-Ro Lee, "Improving SVM-based Speech/Music Classification on Conditional MAP Criterion", Proc. of International Conference on ICT Convergence, 2011.

- Chungsoo Lim, Greg T. Byrd, “Exploiting Producer Patterns and L2 Cache for Timely Dependence-Based Prefetching”, Proc. of IEEE International Conference on Computer Design, 2008.

▶ Patents

- Chungsoo Lim and Hoonseok Kim, “Apparatus and method for decision tree with fixed-point arithmetics”, KR patent (registration No. 10-1806011)