M. Usman Rafique

Senior R&D Engineer

M. Usman Rafique is a senior R&D engineer on Kitware’s Computer Vision Team located in Clifton Park, New York. He conducts cutting-edge research related to ground-level and satellite images and everything in between. He develops computer vision and machine learning solutions to address problems related to image synthesis, scene understanding, and semantic segmentation.

Prior to joining Kitware, Usman was a graduate research and teaching assistant at the University of Kentucky. His research focused on weakly-supervised multi-image synthesis in various settings, ranging from overhead images to ground-level outdoor images. He developed deep learning-based image synthesis models for the tasks of style transfer, novel view synthesis, and image fusion. Usman also served as a research assistant at the Hong Kong Polytechnic University. There, he researched solutions for a smart, reconfigurable battery system and worked on recurrent neural networks for robot control.

From 2010 – 2015, Usman was a lecturer at Air University Pakistan, where he taught courses on robotics and embedded systems. During his time there, he supervised two projects in which a team designed and fabricated a one-person electric car. These cars participated in international energy efficiency competitions, Shell Eco-marathon, in Malaysia (2011) and in the Philippines.

Usman also worked as a research and development engineer at SUPARCO, the national space agency of Pakistan. He was responsible for working on a variety of sensors in the attitude and orbit control system lab.

Usman received his Ph.D. in electrical engineering from the University of Kentucky in 2021. He received both his master’s and bachelor’s degrees in mechatronics engineering from the National University of Sciences and Technology (NUST) in Pakistan in 2010 and 2007, respectively.

 

Education

Ph.D. in electrical engineering from the University of Kentucky, 2021

M.S. in mechatronics engineering from the National University of Sciences and Technology in Pakistan, 2010

B.E. in mechatronics engineering from the National University of Sciences and Technology in Pakistan, 2007

 

Awards

Recognized as an outstanding reviewer by Conference on Computer Vision and Pattern Recognition (CVPR), 2021

President’s Gold Medal presented by the National University of Sciences and Technology in Pakistan, 2010

Get to Know Usman

What made you want to become a Kitwarean? The amazing team of researchers and challenging research projects at Kitware are the main reasons I decided to join the team.

What do you love most about what you do? I like challenging problems and I enjoy deeply thinking about solutions. I like to think about algorithms and coding. I am excited about the potential to create solutions made possible by modern machine learning tools and the massive amount of data that is available.

Share something interesting about yourself that is not on your resume. I speak three languages: English, Urdu, and Punjabi. When not working, I like playing soccer, jogging, and long walks.

Professional Associations & Service

  • Reviewer, Winter Conference on Applications of Computer Vision (WACV), 2021
  • Member, Association for Computing Machinery (ACM), 2020 – present
  • Member, Institute of Electrical and Electronics Engineers (IEEE), 2019 – present
  • Reviewer, IEEE Transactions on Multimedia, 2017 – present
  • Reviewer, IEEE Transactions on Image Processing, 2017 – present

 

Publications

  1. S. Workman, M. Rafique, H. Blanton, C. Greenwell, and N. Jacobs, "Single Image Cloud Detection via Multi-Image Fusion," in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020. [URL]
  2. M. Rafique and S. Cheung, "Tracking Attacks on Virtual Reality Systems," IEEE Consumer Electronics Magazine, vol. 9, no. 2, pp. 41-46, Mar. 2020. [URL]
  3. M. Alam, M. Rafique, and M. Khan, "Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization," arXiv:2008.10000 [cs], Aug. 2020. [URL]
  4. X. Xing, G. Liang, H. Blanton, M. Rafique, C. Wang, A. Lin, and N. Jacobs, "Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification," in Computer Vision – ECCV 2020 Workshops. Springer International Publishing, 2020, pp. 355-364. [URL]
  5. M. Rafique, H. Blanton, N. Snavely, and N. Jacobs, "Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis," in The British Machine Vision Conference (BMVC), 2020. [URL]
  6. S. Muhammad, M. Rafique, S. Li, Z. Shao, Q. Wang, and X. Liu, "Reconfigurable Battery Systems: A Survey on Hardware Architecture and Research Challenges," ACM Transactions on Design Automation of Electronic Systems, vol. 24, no. 2, pp. 1-27, Mar. 2019. [URL]
  7. M. Rafique, H. Blanton, and N. Jacobs, "Weakly Supervised Fusion of Multiple Overhead Images," in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. [URL]
  8. M. Rafique and N. Jacobs, "Weakly Supervised Building Segmentation from Aerial Images," in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019. [URL]
  9. M. Rafique, A. Mohammed, S. Li, A. Khan, and S. Kadry, "Integrating Open-Source Tools for Embedded Software Teaching: A Case Study," Advances in Engineering Education, pp. 27, 2019. [URL]
  10. N. Jacobs, A. Kraft, M. Rafique, and R. Sharma, "A weakly supervised approach for estimating spatial density functions from high-resolution satellite imagery," in Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018. [URL]
  11. S. Li, H. Wang, and M. Rafique, "A Novel Recurrent Neural Network for Manipulator Control With Improved Noise Tolerance," IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1908-1918, May 2018. [URL]
  12. S. Li, J. He, Y. Li, and M. Rafique, "Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective," IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 2, pp. 415-426, Feb. 2017. [URL]
  13. S. Muhammad, M. Rafique, S. Li, Z. Shao, Q. Wang, and N. Guan, "A Robust Algorithm for State-of-Charge Estimation With Gain Optimization," IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 2983-2994, Dec. 2017. [URL]
  14. P. Su, J. Shen, and M. Rafique, "RGB-D Camera Network Calibration and Streaming for 3D Telepresence in Large Environment," in 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017. [URL]
  15. S. Steinhorst, Z. Shao, S. Chakraborty, M. Kauer, S. Li, M. Lukasiewycz, S. Narayanaswamy, M. Rafique, and Q. Wang, "Distributed reconfigurable Battery System Management Architectures," in 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 2016. [URL]
  16. M. Alam, M. Rafique, Z. Kauser, and M. Saleem, "Swarm intelligence based multi-objective path planning in environments cluttered with danger sources," in 2016 17th International Conference on Mechatronics - Mechatronika (ME), 2016. [URL]
  17. M. Alam and M. Rafique, "Mobile robot path planning in environments cluttered with non-convex obstacles using particle swarm optimization," in 2015 International Conference on Control, Automation and Robotics, 2015. [URL]
  18. M. Rafique and K. Faraz, "Guidance based autonomous parking assistant," in 2010 The 2nd International Conference on Industrial Mechatronics and Automation, 2010. [URL]
  19. M. Usman Rafique and K. Faraz, "Modified Trajectory Shaping Guidance for autonomous parallel parking," in 2010 IEEE Conference on Robotics, Automation and Mechatronics, 2010. [URL]

Bibliography generated 2021-08-26-15:00:05 (4700)