Mohammad Nayeem Teli



Senior Member, IEEE

Senior Lecturer, Department of Computer Science , University of Maryland, College Park.

Bio

I received Ph.D. and M.S. degrees in Computer Science in the fields of Computer Vision and Machine Learning from Colorado State University , and B.E. degree in Electronics and Communications from National Institute of Technology, Srinagar, Kashmir. From July 2015 - 2017, I was an Assistant Professor of Computer and Information Science at Harrisburg University, Harrisburg, PA and from 2014 - July, 2015, I was an Assistant Professor of Computer Science & Engineering at the National Institute of Technology, Srinagar. I have also worked as a Software Engineer at Hewlett-Packard, and Wipro. My research interests center on improving and design of systems employing the use of Computer Vision, Machine Learning, and Data Science algorithms.



Contact
The Brendan Iribe Center of Computer Science & Engineering
University of Maryland
8125 Paint Branch Dr
College Park, MD 20742

Office: IRB 2224
nayeem at cs dot umd dot edu

Teaching

I won the best teaching award for 2018-2019

Courses
  • Spring 2024
    • Introduction to Computer Vision - (CMSC 426).
    • Introduction to Data Science - (CMSC 320).
  • Fall 2023
    • Introduction to Machine Learning - (CMSC 422).
    • Discrete Structures - (CMSC 250).
  • Summer 2023
    • Introduction to Machine Learning - (CMSC 422).
    • Introduction to Data Science - (CMSC 320).
  • Spring 2023
    • Introduction to Machine Learning - (CMSC 422).
    • Introduction to Data Science - (CMSC 320).
  • Fall 2022
    • Introduction to Machine Learning - (CMSC 422).
    • Discrete Structures - (CMSC 250).
  • Spring 2022
    • Computer Vision - (CMSC 426).
    • Discrete Structures - (CMSC 250).
  • Fall 2021
    • Algorithms - (CMSC 351).
    • Introduction to Data Science - (CMSC 320).
    • Introduction to Programming Concepts for Engineers - (ENEE 140).
  • Spring 2021
    • Algorithms - (CMSC 351).
    • Computer Vision - (CMSC 426).
  • Fall 2020
    • Introduction to Data Science - (CMSC 320).
    • Algorithms - (CMSC 351).
  • Spring 2020
    • Computing Systems for Machine Learning - (MSML 605).
    • Computer Vision - (CMSC 426).
    • Algorithms - (CMSC 351).
  • Fall 2019
    • Computer Vision - (CMSC 426).
    • Algorithms - (CMSC 351).
  • Summer 2019
    • Introduction to Data Science - (CMSC 320).
  • Spring 2019
    • Discrete Structures - (CMSC 250).
    • Algorithms - (CMSC 351).
    • Computer Vision - (CMSC 426).
  • Fall 2018
    • Object Oriented Programming I - (CMSC 131).
    • Algorithms - (CMSC 351).

Current Research Projects

  • GANs for multi-modal image-to-image translation

    Most existing image-to-image translation models assume that all the domain have either multiple modalities or only one modality. However, many domains have a many-to-one relationship between two domains. We are working on a new asymmetric framework to improve existing deep generative models on many-to-one image-to-image translation.

  • Navigating Robotic Interactions

    Robot navigation in a static environment is a solved problem, however, very often the surroundings are dynamic and the robots would need to interact with a changing environment. We are currently working on such a system in a busy building to help a robot not only navigate its way but interact with its environment along the parth.

Publications

    2024

  • Sagar Saxena and Mohammad Nayeem Teli. "Improving Deep Generative Models on Many-To-One Image-to-Image Translation", arXiv:2402.12531, February 2024.


  • 2022

  • Kevin Hyekang Joo, Shiyuan Duan, Shawna L. Weimer and Mohammad Nayeem Teli. “Birds’ Eye View:Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being”, ArXiv:2205.00069, April 2022.

  • Sagar Saxena and Mohammad Nayeem Teli. “Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey”, ArXiv:2112.12625, Jan. 2022.

  • 2021

  • Mohammad Nayeem Teli. “TeliNet: Classifying CT images for COVID-19 diagnosis”, in AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D), International Conference on Computer Vision (ICCV) 2021, Montreal, Canada, October 11- 17, 2021. (Virtual)

  • Mohammad Nayeem Teli, and Seungwon Oh. “Resilience of Autonomous Vehicle Object Category Detection to Universal Perturbations”, in the IEEE International IOT, Electronics, and Mechatronics (IEMTRONICS ’21) Conference, 21st - 24th April, 2021, Toronto, Canada. (In virtual mode). Best Oral Presentation Award.

  • 2019

  • Mohammad Nayeem Teli, Bruce A. Draper, and J. Ross Beveridge. "Face Detection in Repeated Settings", arXiv:1903.08649, March 2019.

  • 2014

  • Luis Diego Briceno, Howard J. Siegel, Anthony A. Maciejewski, Ye Hong, Brad Lock, Charles Panaccione, Fadi Wedyan, Mohammad Nayeem Teli, and Chen Zhang. ”Resource Allocation in a Client/Server System for Massive Multi-Player Online Games”, IEEE Transactions on Computers, Vol. 63, No. 12, pp. 3127–3142, Dec. 2014.

  • 2013

  • J. Ross Beveridge, P. Jonathon Phillips, David Bolme, Bruce A. Draper, Geof H. Givens, Yui Man Lui, Mohammad Nayeem Teli, Hao Zhang, Todd Scruggs, Su Cheng, Kevin Bowyer and Pat Flynn. “The Challenge of Face Recognition from Digital Point-and-Shoot Cameras”, in The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013), Portland, Oregon, USA. Best Poster Award.

  • P. Jonathon Phillips, J. Ross Beveridge, David Bolme, Bruce A. Draper, Geof H. Givens, Yui Man Lui, Su Cheng, Mohammad Nayeem Teli, Hao Zhang. “On the Existence of Face Quality Measures”, The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013), Portland, Oregon, USA.

  • 2011

  • Mohammad Nayeem Teli, J. Ross Beveridge, P. Jonathon Phillips, Geof H. Givens, David S. Bolme and Bruce A. Draper. “Biometric Zoos: Theory and Experimental Evidence”, The IEEE International Joint Conference on Biometrics (IJCB 2011), Washington D.C., USA.

  • Jon Parris, Michael Wilber, Brian Heflin, Ham Rara, Ahmed El-barkouky, Aly Farag, Javier Movellan, Anony- mous, Modesto Castrilon-Santana, Javier Lorenzo-Navarro, Mohammad Nayeem Teli, Sabastien Marcel, Cosmin Atanasoaei and Terry Boult,. “Face and Eye Detection on Hard Datasets”, The IEEE International Joint Conference on Biometrics (IJCB 2011), Washington D.C., USA.

  • J. Ross Beveridge, P. Jonathon Phillips, Geof H. Givens, Bruce A. Draper, Mohammad Nayeem Teli and David S. Bolme. “When High-Quality Face Images Match Poorly”, The 9th IEEE Conference on Automatic Face and Gesture Recognition (FG 2011), March 21-23, 2011 in Santa Barbara, CA, USA.

  • 2009

  • Mohammad Nayeem Teli and Ross Beveridge.“Pose Manifold Curvature is Typically Less Near Frontal Face Views”, The IEEE Third International Conference on Biometrics: Theory, Applications and Systems (BTAS ’09), September 28-30, 2009 in Washington DC, USA.

  • Mohammad Nayeem Teli and Charles Anderson.“Nonlinear Dimensionality Reduction of Electroencephalo- gram (EEG) for Brain Computer Interfaces”, the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’09), September 2-6, 2009 in Minneapolis, Mn, USA.

  • Luis Diego Briceno, Howard J. Siegel, Anthony A. Maciejewski, Ye Hong, Brad Lock, Mohammad Nayeem Teli, Fadi Wedyan, Charles Panaccione, and Chen Zhang.“Robust Resource Allocation in a Massive Multiplayer Online Gaming Environment”,Fourth International Conference on the Foundations of Digital Games (FDG 2009), April 26-30, 2009, in Port Canaveral, FL, USA.

  • 2008

  • Luis Diego Briceno, Howard J. Siegel, Anthony A. Maciejewski, Ye Hong, Brad Lock, Mohammad Nayeem Teli, Fadi Wedyan, Charles Panaccione, and Chen Zhang.“Resource Allocation in a Client/Server Hybrid Network for Virtual World Environments”,17th Heterogeneous Computing Workshop (HCW 2008), in the CD- ROM proceedings of the 22nd International Parallel and Distributed Processing Symposium (IPDPS 2008), April 14-18, 2008 in Miami, FL, USA.

  • 2007

  • Mohammad Nayeem Teli. “Dimensionality Reduction Using Neural Networks”, Proceedings of the Artificial Neural Networks In Engineering (ANNIE 07) Conference, Nov. 11-14 2007 in St. Louis, MO, USA.