Brief Biography
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Sungho Jo received the B.S. degree in school of mechanical & aerospace engineering from the Seoul National University, Seoul, Korea, in 1999, the S.M. in mechanical engineering, and Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 1999 and 2006 respectively. While pursuing the Ph.D., he was associated with the computer science and artificial intelligence laboratory (CSAIL), laboratory for information decision and systems (LIDS), and Harvard-MIT HST NeuroEngineering Collaborative. Before joining the faculty at KAIST, he worked as a postdoctoral researcher at MIT media laboratory. Since December in 2007, he has been with the division of computer science, department of electrical engineering and computer science at KAIST. His research interests include intelligent robots, human-robot interaction, computational intelligence, computational neuroengineering, biomimetic system design, bio-inspired learning and control, etc.
ASSISTANT PROFESSOR
Jo, Sungho 조 성호
Division of Computer Science,
Department of Electrical Engineering and Computer Science,
Korea Advanced Institute of Science and Technology,
373-1, Guseong-dong, Yuseong-gu,
Daejeon, Korea, 305-701
Email: shjo 'at' cs.kaist.ac.kr
Office: E3-1, 2433
Tel: +82-42-869-3540
Fax: +82-42-869-3510
Education
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- Ph.D., MIT 2006
- S.M., MIT 2001
- B.S., SNU 1999
Research Interests
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- Intelligent system design, Human-robot interaction
- Computational intelligence
- Bioinspired intelligent system, Neurobotics
- Computational neuroengineering/biomechanics, Neural principles of learning and control
Lectures
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- CS774 Topics in Artificial Intelligence: Probabilistic Models, Spring 2008
- ED100 Intoduction to Design and Communication, Project Advisor, Spring 2008
Publications
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- Sungho Jo, Steve Massaquoi (2007), A model of cerebello-spinomuscular interaction in the sagittal control of human walking, Biological Cybernetics, 96(3):279-307.
- Sungho Jo, Steve Massaquoi (2004), A model of cerebellum-stabilized and scheduled hybrid long-loop control of upright balance, Biological Cybernetics 91(3):188-202.
- Sungho Jo, Jijun Yin, Zhi-Hong Mao (2005), Random neural networks with state-dependent firing neurons, IEEE Trans on Neural Networks, 16(4): 980-983.
- Sungho Jo (2005), A robust approach to the PDF estimate, Neurocomputing, 67C: 288-296.
- Sungho Jo (2007), A neurobiological model of the recovery strategies from perturbed walking, BioSystems, 90(3): 750-768.
- Sungho Jo (2008), Hypothetical neural control of human biped locomotion with voluntary modulation, Medical & Biological Engineering & Computing.
- Sungho Jo, Andreas Hofmann (2007), Biped walking from neurological and biomechanical principles, In: Biological Cybernetics Research Trends (ed.: T.O. Williams), Nova Science Publishers, inc.
- Sungho Jo, Zhi-Hong Mao (2007), Basal ganglionic learning applied to control of an underactuated system, In: Neurocomputing Research Developments (ed: H.A. Svensson), Nova Science Publishers, inc.
- Sungho Jo (2008), Adaptive biomimetic control of robot arm motions, Neurocomputing.
Notices
last updated by S. Jo on January 2008.
