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 in 2013 and 2007, respectively, and B.E. degree in Electronics and Communications from National Institute of Technology, Srinagar, Kashmir in 2000. 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 from 2003-2005, and at Wipro from 2000-2003. 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: 1128 IRB
nayeem at cs dot umd dot edu

Teaching

I won the best teaching award for 2018-2019

Courses

Current Research Projects

  • Improving Building Damage Classification with Generative Adversarial Networks

    In this project we are studying the use of a Generative Adversarial Network (GAN) to generate target depth images from a public LiDAR dataset. This depth information would be used to augment the intensity dataset from a disaster area whose building depth is not available. This is used to train a Convolution Neural Network (CNN) for damage classification.

  • Vigilant: Three-Point High Risk Driver Detection Using Convolutional Neural Networks

    We examine the extent to which distracted driving can be measured from facial expressions, body activity, and eye movement. Through the use of several cameras, machine learning algorithms will take real-time data and detect whether a user is distracted: reaching out to the back, talking to the passengers, fiddling with the radio, texting, talking on the phone, fidgeting with hair or makeup, yawning, and / or feeling drowsy. In order to develop these algorithms, we need your help in obtaining this data.

  • Chicken Behavior Analysis

    This is a collaborative project between the Departments of Computer Science and Agriculture at University of Maryland, College Park. The goal of this research is to understand the behavior of chickens using Computer Vision algorithms. The different behaviors we are currently tracking include: sitting, standing, feeding, pecking, accessing water and dust bowl, and social pecking. Such behavior analysis would enable us to understand the well being of the chickens. Understanding the behavior of chickens would help identify any medical or other conditions of the chicken in a similar or relatively similar setting. There are many challenges in this work.The immediate and the most important one is the similarity of the chickens which makes tracking them a challenging problem.



Publications

    2021

  • Mohammad Nayeem Teli. “TeliNet: Classifying CT images for COVID-19 diagnosis”, accepted to appear 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.

  • 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.