Hello! I am
Sujin Jang, a machine learning researcher at the Motorola-Lenovo
Research group in Chicago, IL. My research work broadly involves machine learning, human-computer interaction, computer vision, and robotics. I received my Ph.D. from the School of Mechanical Engineering at Purdue University where I worked with Dr. Karthik Ramani at the C-Design Lab. My research has focused on creating methodologies and principles for effective use of human gesture in HCI. In particular, I have developed methods to analyze and exploit human gesture based on visual analytics integrating machine learning and information visualization; an interactive clustering and collaborative filtering approach for hand pose estimation; biomechanical arm fatigue analysisand a gestural user interface for human-robot interaction. Currently, I am working on developing machine/deep learning algorithms and computer vision techniques for human activity analysis, natural user interaction design (e.g., AR/VR), and intelligent healthcare systems.


Professional Experience

Ph.D., Mechanical Engineering
Purdue University, West Lafayette, IN, USA
Thesis: "
Methods for Analyzing Natural Patterns and Physical Ergonomics of Human Gestures in Mid-Air Interaction"
Advisor: Karthik Ramani

May 2017
M.S., Mechanical Engineering
University of Florida, Gainesville, FL, USA
Thesis: "Structure Estimation of Moving Objects Using Unknown Input Observers"
Advisors: Carl D. Crane III and Warren E. Dixon

August 2012
B.S., Mechanical and Automotive Engineering
Kookmin University, Seoul, South Korea
Undergraduate Research Assistant, Unmanned Vehicle Lab.
August 2010

Programming:C/C++, C#, Python, Java, R, Matlab/SIMULINK, Labview, Latext
IDE, Libraries:Visual Studio, Qt, Android Studio, Unity 3D, OpenGL, OpenCV, VTK, SPSS
Deep Learning
TensorFlow, MatConvNet
CAD:ProE/Creo, Solidworks, CATTIA, Unigraphics

Research Projects

Journal (peer-reviewed)
Sujin Jang, Niklas Elmqvist, Karthik Ramani, MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data, IEEE Transaction on Visualization and Computer Graphics, vol 22. no.1, pp 21-30, Jan 31, 2016 / Presented at IEEE VAST 2015 (22% acc. rate) [pdf][video-30sec][video-full][presentation][doi]
Conference (peer-reviewed)
[C5]Sujin Jang, Wolfgang Stuerzlinger, Satyajit Ambike, Karthik Ramani, Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion, In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pp 3328-3339, Denver, CO, May 6-11, 2017 (25% acc. rate) [pdf][ppt][doi][code]
[C4] Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, and Karthik Ramani, A Collaborative Filtering Approach to Real-Time Hand Pose Estimation, Proceedings of the IEEE International Conference on Computer Vision (ICCV),  Santiago, Chile, 2015 [pdf][supp]
[C3] Sujin Jang, Niklas Elmqvist, Karthik Ramani, GestureAnalyzer: Visual Analytics for Pattern Analysis of Mid-Air Hand Gestures, Proceedings of the ACM Symposium on Spatial User Interaction (SUI), pp. 30-39, October 4-5, Honolulu, HI, USA. 2014 (29% acc. rate) [pdf][video][doi]
[C2] Saikat Gupta, Sujin Jang, Karthik Ramani, PuppetX: A Framework for Gestural Interactions With User Constructed Playthings, Proceedings of the ACM Conference on Advanced Visual Interfaces (AVI), pp.73-80, May 27-30, Como, Italy. 2014 (28% acc. rate) [pdf][video][doi]
[C1] Sujin Jang, Ashwin Dani, Carl Crane, Warren Dixon, Experimental Results for Moving Object Structure Estimation using an Unknown Input Observer Approach, ASME Dynamic Systems and Control Conference, Fort Lauderdale, Florida, USA, October 17–19, 2012 (Best Paper in Session Award) [pdf][doi]

Honors and Awards
  • Estus H. and Vashti L. Magoon Award for Teaching Excellence (2015), College of Engineering, Purdue University, awarded for excellent teaching in "ME444: Computer-Aided Design and Rapid Prototyping"
  • Best Paper in Session Award (2012), ASME Dynamic Systems and Control Conference, awarded for "Experimental Results for Moving Object Structure Estimation using an Unknown Input Observer Approach"
  • Seongkok Academic Scholarship (2004~2005, 2009), Kookmin University
  • 2nd prize in the NXT session of LABVIEW Application Contest (2008), National Instrument Korea, awarded for "Design of motion simulator using a 3-axis platform"
  • 3rd prize in the remote-controlled micro robot competition (2008), International Micro Robot Maze Contest, Nagoya University, Japan
  • Best effort award in the micro robot racer competition (2008), International Micro Robot Maze Contest, Nagoya University, Japan

Scientific Community Service
  • [ACM CHI] Reviewer, ACM Conference on Human Factors in Computing Systems (2016~2018)
  • [ACM UIST] Reviewer, ACM Symposium on User Interface Software and Technology (2018)
  • [ACM DIS] Reviewer, ACM Conference on Designing Interactive Systems (2016~2017)
  • [ACM CSCW] Reviewer, ACM Conference on Computer Supported Collaborative Work (2016)
  • [ACM TEI] Reviewer, ACM Conference on Tangible, Embedded, and Embodied Interaction (2017)
  • [ACM IDC] Reviewer, ACM Conference on Interaction Design and Children (2017)
  • [ACM VRST] Reviewer, ACM Conference on Virtual Reality Software and Technology (2017)
  • [IEEE VR] Reviewer, IEEE Conference on Virtual Reality and 3D User Interfaces (2018)
  • [IEEE 3DUI] Reviewer, IEEE Symposium on 3D User Interfaces (2016)
  • [IEEE TVCG] Reviewer, IEEE Transaction on Visualization and Computer Graphics (2017)
  • [IEEE VAST] Reviewer, IEEE Conference on Visual Analytics Science and Technology (2016~2017)
  • [IEEE InfoVis] Reviewer, IEEE Conference on Information Visualization (2015)
  • [IEEE EuroVis] Reviewer, EG/VGTC Conference on Data Visualization (2016)
  • [IEEE VIS] Student Volunteer (2015)

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