Curriculum vitae: Erhan Oztop

CURRICULUM VITAEERHAN OZTOP, Ph.D.
ATR, Cognitive Mechanisms Laboratories
2-2-2 Hikaridai, Seika-cho, Soraku-gun
Kyoto 619-0288, Japan
Phone: +81-774-95-2404 Fax: +81-774-95-1236
erhan@atr.jp
RESEARCH INTERESTS
Investigating how humans and other biological systems process information and solve
problems from a computational viewpoint.
Developing paradigms and techniques for science and engineering based on the principles
obtained by the study of biological systems.
EDUCATION
2002

PhD, Computer Science, University of Southern California, Los Angles, CAThesis: Modeling the Mirror: Grasp Learning and Action Recognition
Advisor: Prof. Michael A. Arbib

1996

MS, Computer Engineering, Middle East Technical University, Ankara, Turkey
Thesis: A New Content Addressable Memory Utilizing High Order Neurons
Advisor: Prof. Marifi Guler

1993

BS, Mathematics, Middle East Technical University, Ankara, Turkey

1993

BS, Computer Engineering, Middle East Technical University, Ankara, Turkey

PROFESSIONAL EXPERIENCE
April 2011 – PresentResearcher, National Institute of Information and Communications Technology(NICT), Advanced ICT Research Institute, Brain ICT Laboratory
December 2009 – PresentVice Department Head, Communication and Cognitive Cybernetics Department,
Advanced Telecommunications Research Institute International (ATR),
Computational Neuroscience Laboratories (Cognitive Mechanisms Laboratories asof April 2010)
Visiting Associate Professor, Osaka University, School of Engineering Science
April 2009 – November 2009
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Curriculum vitae: Erhan Oztop

Vice Department Head, Communication and Cognitive Cybernetics Department,
Advanced Telecommunications Research Institute International (ATR),
Computational Neuroscience Laboratories
April 2008 – March 2009
Vice Department Head, Humanoid Robotics and Computational Neuroscience
Department, Advanced Telecommunications Research Institute International(ATR), Computational Neuroscience LaboratoriesGroup Leader, Humanoid Brain Science Group in ICORP Computational Brain
Project, Japan Science and Technology Agency (JST)

April 2004 – March 2008
Researcher, Japan Science and Technology Agency (JST), ICORP ComputationalBrain Project
June 2002 - March 2004
Researcher, Advanced Telecommunications Research Institute International,
Computational Neuroscience Laboratories, Department of Cognitive Neuroscience
1997 - 2002
Research Assistant, University of Southern California, Brain Project
Teaching Assistant, University of Southern California, Computer Science
Department
1993 – 1996
Research Assistant, Middle East Technical University, Department of Computer
Engineering
PUBLICATIONSInternational Journal Publications
1. Babic J, Hale JG, Oztop E (in press) Human sensorimotor learning for humanoid
robot skill synthesis. Adaptive Behavior
2. Ugur E, Oztop E, Sahin E (2011) Goal emulation and planning in perceptual space
using learned affordances. Robotics and Autonomous Systems 59, 580-595
3. Oztop E (2009) Sign representation of Boolean functions using a small number ofmonomials. Neural Networks 22: 938-948
4. Chaminade T, Oztop E, Gordon C, Kawato M (2008) From self-observation toimitation: visuomotor association on a robotic hand. Brain Research Bulletin 75(6):775-784
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5. Oztop E (2006) An upper bound on the minimum number of monomials required toseparate dichotomies of {-1,1}n . Neural Computation 18: 3119-3138
6. Oztop E, Kawato M, Arbib M (2006) Mirror neurons and imitation: A computationallyguided review. Neural Networks 19: 254-271
7. Oztop E, Imamizu H, Cheng G, Kawato M (2006) A computational model of anterior
intraparietal (AIP) neurons. Neurocomputing 69: 1354-1361
8. Oztop E, Franklin DW, Chaminade T, Cheng G (2005) Human-humanoidinteraction: Is a humanoid robot perceived as a human? International Journal ofHumanoid Robotics 2:(4) 537-559
9. Oztop E, Wolpert D, Kawato M (2005) Mental state inference using visual control
parameters. Cognitive Brain Research 22: 129-151
10. Oztop E, Bradley NS, Arbib MA (2004) Infant grasp learning: a computationalmodel, Exp Brain Res. 158:480-503
11. Oztop E., Arbib MA (2002) Schema design and implementation of the grasp-related
mirror neuron system. Biological Cybernetics 87: (2) 116-140
12. Arbib MA, Billard A, Iacoboni M, Oztop E (2000) Synthetic brain imaging: Grasping,mirror neurons and imitation. Neural Networks 13: (8-9) 975-997
13. Oztop E, Mulayim AY, Atalay V, Yarman-Vural F. (1999) Repulsive attractive
network for baseline extraction on document images. Signal Processing 75 (1) 1-10
Manuscripts Submitted or in Preparation
14. Gurbuz S, Oztop E, Inoue N (under review) Head pose estimation using 3D frontal
face data reconstructed from stereo images. Transactions on Pattern Analysis andMachine Intelligence
15. Moore B, Oztop E (under review) Robotic grasping and manipulation throughhuman visuomotor learning. Robotics and Autonomous Systems
16. Babic J, Oztop E, Kawato M (in preparation) Human balance control: a comparison
with control of reaching and pointing movements
Online and Domestic Journal Publications
17. Oztop E (2007) Models of mirror system. Scholarpedia (online encyclopedia),2(10):3276
18. Oztop E, Kawato M (2005) Conceptual and Computational Models of Mirror
Neurons. The Brain & Neural Networks (Journal of Japanese Neural NetworkSociety) 12: 61-73
19. Arbib MA, Oztop E, Zukow-Goldring P (2005) Language and the Mirror System: A
Perception/Action Based Approach to Communicative Development. Cogniţie,Creier, Comportament / Cognition, Brain, Behavior vol. IX(3) 239-272

Invited Book Chapters
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Curriculum vitae: Erhan Oztop

1. Oztop E, Kawato M (2009) Models For The Control of Grasping In: Nowak D,Hermsdoerfer J(eds) Sensorimotor Control of Grasping: Physiology andPathophysiology. Cambridge University Press
2. Oztop E (2009) Mirror Neurons: Extraordinary or Ordinary? In: Minett JW, Wang W(eds) Language, Evolution, and the Brain. City University of Hong Kong Press
3. Oztop E, Arbib M, Bradley N (2006) The Development of Grasping and the Mirror
System. In: Arbib M (ed) Action to Language via the Mirror Neuron System.
Cambridge University Press
4. Crowley M, Marmol S, Oztop E. (2002) Crowley-Arbib Saccade Model. Chapter in
The Neural Simulation Language, MIT Press, MA 2002
Theses5. Oztop E (2002) Modeling the Mirror: Grasp Learning and Action Recognition. Ph.D.
thesis, University of Southern California
6. Oztop E (1996) A New Content Addressable Memory Utilizing High Order Neurons.
Master thesis, Middle East Technical University, Turkey

Peer Reviewed Conference Papers1. Kober K, Oztop E, Peters J (2010.06) Reinforcement Learning to adjust Robot
Movements to New Situations, Robotics: Science and Systems, Proc., Zaragoza,Spain
2. Steffen J, Oztop E, Ritter H (2010.10) Structured Unsupervised Kernel Regression
for Closed-loop Motion Control, IEEE International Conference on Robotics andAutomation, Proc., Taipei, Taiwan
3. Moore B, Oztop E (2010.8) Redundancy parameterization for flexible motion
control, ASME IDETC 2010, Montreal, Canada
4. Ugur E, Sahin E, Oztop E (2009.11) Affordance learning from range data for multistep planning. International Conference on Epigenetic Robotics: Modeling
Cognitive Development in Robotic Systems, Proc., Venice, Italy
5. Hajdinjak B, Babic J, Oztop E (2009.9) Improving Balance Regulation In Visuomotor Control For Humanoid Robots. IEEE International Symposium on Computerand Information Science, Guzelyurt, Proc., Northern Cyprus
6. Ugur E, Sahin E, Oztop E (2009.9) Predicting Future Object States Using Learned
Affordances. IEEE International Symposium on Computer and Information Science,Guzelyurt, Proc., Northern Cyprus
7. Oztop E, Lin LH, Kawato M, Cheng G (2007.4) Extensive Human Training forRobot Skill Synthesis: Validation on a Robotic Hand. IEEE International Conferenceon Robotics and Automation, Proc., Roma, Italy
8. Oztop E, Lin LH, Kawato M, Cheng G (2006.12) Dexterous Skills Transfer byExtending Human Body Schema to a Robotic Hand. IEEE-RAS/RSJ InternationalConference on Humanoid Robots, Proc., Genova, Italy
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Curriculum vitae: Erhan Oztop

9. Gumpp T, Azad P, Welke K, Oztop E, Dillmann R, Cheng G (2006.12)
Unconstrained Real-time Markerless Hand Tracking for Humanoid Interaction.
IEEE-RAS/RSJ International Conference on Humanoid Robots, Proc., Genova,Italy10. Welke K, Oztop E, Ude A, Dillmann R, Cheng G (2006.12) Learning feature
representations for an object recognition system. IEEE-RAS/RSJ International
Conference on Humanoid Robots, Proc., Genova, Italy
11. Oztop E, Chaminade T, Cheng G, Kawato M (2005.12) Imitation Bootstrapping:Experiments on a Robotic Hand IEEE-RAS/RSJ International Conference on
Humanoid Robots, Proc., Tsukuba, Japan
12. Oztop E, Imamizu H, Cheng G, Kawato M (2005.7) A Computaional Model ofAnterior Intraparietal (AIP) Neurons 14th Annual Computational Neuroscience
Meeting, Madison, Wisconsin, USA
13. Chaminade T, Franklin D, Oztop E, Cheng G (2005. 7) Motor interference between
Humans and Humanoid Robots: Effect of Biological and Artificial Motion. 4th IEEE
International Conference on Development and Learning. INTEX Osaka, Japan
14. Oztop E, Franklin D, Chaminade T (2004.11) Human-Humanoid Interaction: Is ahumanoid robot perceived as human? IEEE-RAS/RSJ International Conference on
Humanoid Robots, Proc., Santa Monica, California, USA
15. Oztop E, Wolpert D, Kawato M (2003) Mirror neurons: key for mental simulation?
Proceedings of Computational Neuroscience Meeting, Alicante, Spain

Other Articles and Poster Presentations (selected)
1. Oztop E, Cheng G, Imamizu H, Kawato M (2008.7) Mirror Neurons: Do we reallyknow their function? The 31st Annual Meeting of the Japan Neuroscience Society,Tokyo.
2. Fujimoto I, Shimada Y, Kimura M, Kamitani Y, Erhan Oztop, Alexander Harner,Murase K (2007.4) Real-time f-MRI system for non-invasive BMI (in Japanese),Japanese Society of Radiological Technology 63th Science Meeting
3. Kimura M, Imamizu H, Shimada Y, Oztop E, Harner A, Kamitani Y (2007.2) Online
fMRI decoding ~ Reading Janken gesture from brain activity ~, Japanese ElectronicTelecommunication Society, 2nd Brain Interface Meeting
4. Kimura M, Imamizu H, Shimada Y, Nakamura T, Oztop E, Kamitani Y (2006.1)
Real time fMRI Decoding, Mechanisms of Brain and Mind, 6th Winter Workshop
5. Oztop E, Imamizu H, Cheng G, Kawato M (2005.1) Emergent Grasp Affordance
Encoding via Grasp Learning. Mechanisms of Brain and Mind, 5th WinterWorkshop
6. Oztop E, Arbib MA (2001) Mirror neuron system for grasping: a model for themonkey, In Society for Neuroscience 31st. Annual Meeting Abstracts (27) 58.6

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Invited Talks at International Workshops and Conferences
1. Oztop E (2010.9) Human sensorimotor learning for robot skill synthesis (KeynoteSpeech), IEEE International Symposium in Robot and Human InteractiveCommunication (RO-MAN 2010), Viareggio, Italy
2. Oztop E (2010.5) Can we learn from biology about object representation forgrasping and manipulation? Workshop on Representations for object grasping andmanipulation, IEEE International Conference on Robotics and Automation,Anchorage, Alaska, USA
3. Oztop E (2009.9) Human Visuomotor Learning for Robot Skill Synthesis. First IEEE
Workshop on Computer Vision for Humanoid Robots in Real Environments, IEEEInternational Conference on Computer Vision, Kyoto, Japan
4. Oztop E, Hale J, Babic J, Kawato M (2009.5) Connecting humans and robots for
efficient robot skill generation. Workshop on Approaches to Sensorimotor Learningon Humanoid Robots, International Conference on Intelligent Robots and Systems,Kobe, Japan
5. Oztop E, Hale J, Babic J, Kawato M (2008.9) Robots as complex tools for humans
to control: Human visuo-motor learning for robot skill synthesis. Workshop onGrasp and Task Learning by Imitation, International Conference on Intelligent
Robots and Systems, Nice, France
6. Oztop E, Babic J, Hale J, Cheng G, Kawato M (2007.11) From Biologically Realistic
Imitation to Robot Teaching via Human Motor Learning. 14th International
Conference on Neural Information Processing, Kitakyushu, Japan
7. Oztop E (2007.4) Modeling Mirror Neurons. International Seminar on Language,Evolution, and the Brain, International Institute for Advanced Studies, Kyoto, Japan
8. Oztop E. (2004.9) Modeling the Mirror Neurons. In: the Workshop on Robotic
Imitation, International Conference on Intelligent Robots and Systems, Sendai,Japan
Patents
US Patent 2006-026330 (pending) An algorithm that solves any binary classification
problem in {-1,1}n with an upper bound guarantee on the minimum number ofmonomials

PROFESSIONAL SERVICE
Reviewer for the Journals(Computationally oriented Journals)
Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics
Biological Cybernetics
PLoS Computational Biology
Connection Science
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Curriculum vitae: Erhan Oztop

Artificial Life
(Neuroscience oriented Journals)
Experimental Brain Research
Cerebral Cortex
European Journal of Neuroscience
Philosophical Psychology
Brain Research(Robotics Journals)
International Journal of Robotics Research
Advanced Robotics
Robotics and Autonomous Systems
Autonomous Robots
IEEE Transactions on Robotics
Other Reviewing Activities
IEEE/RSJ International Conference on Intelligent Robots and Systems
IEEE International Conference on Robotics and Automation
IEEE/RAS International Conference on Humanoid Robots
The Scientific Committee of the Association Française contre les Myopathies
Memberships
International Neural Network Society
Japan Neuroscience SocietyIEEE

Rev.May, 20117