Taufiquar Khan

EDUCATION

Ph.D. Applied Mathematics, University of Southern California (2000)
M.S., Aerospace Engineering, University of Southern California (1999)
M.A., Applied Mathematics, University of Southern California (1999)
A.B., Mathematics and Physics, Occidental College (1994)

PROFESSIONAL EXPERIENCE

Faculty Positions
Professor of Mathematics and Statistics, University of North Carolina at Charlotte, USA (Fall 2020 – Present)
Professor of Mathematical Sciences, Clemson University, South Carolina, USA (2012 – Fall 2020)
Associate Professor of Mathematical Sciences, Clemson University, South Carolina, USA (2006 – 2012)
Assistant Professor of Mathematical Sciences, Clemson University, South Carolina, USA (2000 – 2006)

National and International Research Fellowships

Research Fellow, Statistical and Applied Mathematical Sciences Institute (Sp 2008, F 2010)
Summer Faculty Fellow, Brooks Air Force Laboratory (Su 2006, Su 2007)
Humboldt Research Fellow, Alexander von Humboldt Foundation (2007)
Research Fellow, Institute for Mathematics and its Applications (F 2005)

Academic Leadership and Administrative Roles

Chair, Department of Mathematics and Statistics, University of North Carolina at Charlotte, USA (F 2020 – Present)
Associate Director for Graduate Studies, School of Math and Stat Sciences, Clemson University, USA (F 2017 – Present)
Director of Global Engagement Initiatives, College of Science, Clemson University, USA (Sp 2018 – Present)
Director of Intl Initiatives and Global Engagement, College of Eng. & Science, Clemson University, USA (2017)
Interim Chair, Department of Applied Mathematics and Sciences, Khalifa University (F 2011)

International Leadership and Administrative Roles
Chair, College of Science Faculty Committee on Global Engagement, Clemson University, USA (2017 – Fall 2020)
Chair, College of Engineering and Science Committee on Global Engagement, Clemson University, USA (2015 – 2017)
Co-Chair, American Council on Education Internationalization Task Force, Clemson University, USA (2013 – 2015)
Visiting Associate Professor, Khalifa University, Abu Dhabi, UAE (2011)
Faculty Coordinator, Graduate Exchange Clemson with the University of Bremen, Germany (2008 – Fall 2020)

SELECTED PUBLICATIONS

J. Farmer, C. Oian, B. Bowman, T. Khan, “Empirical loss weight optimization for PINN modeling laser bio-effects on human skin for the 1D heat equation,” Machine Learning with Applications, Volume 16, 2024
B. Bowman, C. Oian, J. Kurz, T. Khan, E. Gil, N. Gamez, “Physics-Informed Neural Networks for the Heat Equation with Source Term under Various Boundary Conditions,” Algorithms. Volume 16(9):428, 2023.
A. Pokkunuru, P. Rooshenas, T. Strauss, A. Abhishek, and T. Khan, “Improved training of physics-informed neural networks using energy-based priors: a study on electrical impedance tomography,” The Eleventh International Conference on Learning Representations, 2023.
T. Strauss and T. Khan, “Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks,” Entropy, Volume 25(3):493, 2023.
A. Abhishek, T. Strauss, and T. Khan, “An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography,” SIAM Journal on Imaging Sciences, pp. 797-821, Volume 15, Number 2, 2022.
T. Talukdar, B. McCoy, S. Timmins, T. Khan, J. Ryckman, “Hyperchromatic structural color for perceptually enhanced sensing by the naked eye,” Proceedings of the National Academy of Sciences, Volume 117, Issue 48, pp. 30107-30117 (2020).
S. Ahmad, T. Strauss, S. Kupis, and T. Khan, ‘’Comparison of Statistical Inversion with Iteratively Regularized Gauss Newton Method for Image Reconstruction in Electrical Impedance Tomography,” Applied Mathematics and Computation, Volume 358, pp 436-448 (2019). M. Rahman, M. Chowdhury, T. Khan, and P. Bhavasr, “Improving the Efficacy of Car-following Models with a New Stochastic Parameter Estimation and Calibration Method,” IEEE Transactions on Intelligent Transportation Systems, Volume PP, Issue 99, pp 1-13 (2015). T. Strauss and T. Khan, “Statistical Inversion in Electrical Impedance Tomography Using Mixed Total Variation and Non-Convex lp Regularization Prior,” Journal of Inverse and Ill-Posed Problems, Volume 23, Issue 5, pp 529-542 (2015).
E. Oware, S, Moysey, and T. Khan, “Physically based regularization of hydrogeophysical inverse problems for improved imaging of process‐driven systems,’’ Water Resources Research, Volume 39, Issue 10, pp 6238-6247 (2013).
A. Pal, J. S. Thorp, T. Khan, and S. Young, “Classification Trees for Complex Synchrophasor Data,” Electric Power Components and Systems. Volume 41, Issue 14, pp 1381-1396 (2013).
B. Jin, T. Khan, and P. Maass, “A reconstruction algorithm for electrical impedance tomography based on sparsity regularization,” International Journal for Numerical Methods in Engineering, Volume 89, Issue 3, pp 337-353 (2012).