Young Joon Kim - roboconsulting@gmail.com



Open source project leader and the founder of HelloApps.com
  1. HelloApps.com targets for enhancing creativity and skills of IT by using easy simulation environment.
  2. SPL script project aims at helping novices or beginners to start programming with easy and fun by simplifying complicated coding pattern into simple script.
  3. A novice user with little to no coding experience can start creativeIT, embedded, mobile and robotics programming right away without any preliminary preparation.
  4. All programs of project were developed with C# and all source codes are available on this page.
  5. SPL can be utilized for the creativeIT, embedded, mobile, game, and robotics programming as well as general PC programming.
  6. Full of easy-to-follow tutorial slides were prepared for the robotics, stereoscopic, science, creativity, artificial intelligence, Lego NXT, VPL, and SPL courses.


Career
  1. HelloApps.com / Chief Architect - Current
  2. Microsoft Robotics Group / Regional Robotics Evangelist
  3. Microsoft Korea Consulting Service / Architect Consultant
  4. eBay Korea / Lead of Web Development Team


Education
  1. B.S. in Science Education, 1993, Chungbuk National University, Korea
    1. Major: Physics Education
  2. M.S. in Computer Science, 1995, Chungbuk National University, Korea
    1. Major: AI (Artificial Intelligence)






Research and Papers
  1. Seong-Whan Lee and Young Joon Kim, “Direct Extraction of Topographic Features from Gray Scale Character Images,” IEEE Trans. On Pattern Analysis and Machine Intelligence, 1994, pp.724-729.
  2. Seong-Whan Lee and Young Joon Kim, “Multilayer Cluster Neural Network for Off-line Recognition of Totally Unconstrained Handwritten Numerals,” Neural Networks, 1994.
  3. Seong-Whan Lee and Young Joon Kim, “Direct Extraction of Topographic Features from Gray Scale Character Images,” Proc. 3rd Annual Symposium on Document Analysis and Information Retrival, Las Vegas, USA, April 1994, pp.253-261.
  4. Young Joon Kim, Seong-Whan Lee, and Myung-Won Kim, “Multilayer Cluster Neural Network for Totally Unconstrained Handwritten Numeral Recognition,” Proc. Int. Conf. on Neural Information Processing, Seoul, Korea, 1994, pp. 1483-1488.
  5. Seong-Whan Lee and Young Joon Kim, “Unconstrained Handwritten Numeral Recognition Using Multilayer Cluster Neural Network Combined with Genetic Algorithm,” Proc. 12th Int. Conf. on Pattern Recognition, Vol. II, Israel, October 1994, pp. 507-509.
  6. Seong-Whan Lee, Young Joon Kim, and Myung-Won Kim, “Off-line Recognition of Unconstrained Handwritten Numerals and Its Parallel Hardware Implementation,” Proc. 4th Int. Workshop on Frontiers in Handwriting Recognition, Taipai, Taiwan, 1994, pp.115-124.
  7. Young Joon Kim and Seong-Whan Lee, “Totally Unconstrained Handwritten Numeral Recognition with Wavelet Transform and Multilayer Cluster Neural Network,” Third International Conference on Document Analysis and Recognition, Montreal, Canada, 1995.
  8. Seong-Whan Lee and Young Joon Kim, “A New Type of Recurrent Neural Network for Handwritten Character Recognition,” Third International Conference on Document Analysis and Recognition, Montreal, Canada, 1995.
  9. Seong-Whan Lee and Young Joon Kim, “Parallel Hardware Implementation of Handwritten Character Recognition System on Wavefront Array Processor Architecture,” Third International Conference on Document Analysis and Recognition, Montreal, Canada, 1995.
  10. Seong-Whan Lee and Young Joon Kim, “A Efficient Method of Topographic Feature Extraction from Gray Scale Character Images,” Korea Information Science Society, Vol. 21, No. 7, 1994, pp. 1367-1375.
  11. Young Joon Kim and Seong-Whan Lee, “Unconstrained Handwritten Numeral Recognition Using Multilayer Cluster Neural Network Combined with Genetic Algorithm,” Korea Information Science Society, Vol. 21, No. 8, 1994, pp. 1468-1479.
  12. Seong-Whan Lee and Young Joon Kim, “A Efficient Method of Topographic Feature Extraction from Gray Scale Character Images,” Proc. Conf. on Korea Information Science Society, Vol. 20, No. 1, Iree, Korea, 1993, pp. 171-174.
  13. Young Joon Kim and Seong-Whan Lee, “Unconstrained Handwritten Numeral Recognition Using Multilayer Cluster Neural Network Combined with Genetic Algorithm,” Proc. Conf. on Korea Information Science Society, Vol. 20, No. 2, Seoul, Korea, 1993, pp. 1267-1270.
  14. Young Joon Kim and Seong-Whan Lee, “Unconstrained Handwritten Numeral Recognition Using Multilayer Cluster Neural Network Combined with Genetic Algorithm,” Proc. 6th Workshop for Image Processing and Interpretation, Vol. 5, KyungJoo, Korea, 1994, pp. 186-193.


MSRDS Adoptions




Project Career