MinSuk Koo received the . degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea,in 2007, the . degree in electrical engineering from Seoul National University, Seoul, Korea, in 2009, and is currently working toward the . degree in electrical and computer engineering at Purdue University, West Lafayette, IN, USA. From 2009 to 2012, he was with RadioPulse Inc., Seoul, Korea as a senior engineer where he had been involved with the development of ZigBee transceiver and SoC products. His research interests include interface circuits and possible applications of emerging devices.
The mission of the undergraduate program in Computer Science is to develop students' breadth of knowledge across the subject areas of computer science, including their ability to apply the defining processes of computer science theory, abstraction, design, and implementation to solve problems in the discipline. Students take a set of core courses. After learning the essential programming techniques and the mathematical foundations of computer science, students take courses in areas such as programming techniques, automata and complexity theory, systems programming, computer architecture, analysis of algorithms, artificial intelligence, and applications. The program prepares students for careers in government, law, the corporate sector, and for graduate study.
Thesisconcepts provides guidence & support in developing Digital Signal Processing(DSP) IEEE projects for MTech, ME & PhD. Thesisconcepts has considerable expertise in design, development and implementation of complex digital signal processing systems, from individual low-level functional blocks such as filters and FFTs(Fast Fourier transform),DCT(Discrete cosine transform),DWT(Discrete wavelet transform) to full fill the signal processing and analysing it various non-stationary features.
Working with the customer, we can develop custom or semi-custom system or block-level specifications, suggest algorithms, perform feasibility simulations, and then implement the chosen solution using the necessary combination of hardware or software processing resources. Typically, we would use tools such as Matlab to prove the system operation, and ModelSim to verify the hardware implementation.