Taufiquar Khan
Taufiquar Khan[edit]
Introduction[edit]
Taufiquar Khan is a mathematician whose research has centered on applied mathematics. Khan is a Professor of Mathematics at the University of North Carolina at Charlotte and Chair of the department of Mathematics and Statistics at UNC-C.
Biography[edit]
A native of Bangladesh, Khan moved to the United States in his mid-teens to study mathematics. He attended high school in the Los Angeles, California area beginning in the 10th grade. Khan subsequently earned his Bachelor's degree in Mathematics and Physics from Occidental College in Los Angeles. He pursued study, training, and research at the University of Southern California, Los Angeles, receiving Master's degrees in Applied Mathematics and Aerospace Engineering and his Ph.D. degree in Applied Mathematics. Khan conducted research while working as a professor of mathematics at Clemson University in South Carolina from 2000 to 2020 and has continued his work at the University of North Carolina at Charlotte since 2020. As principal and co-principal, Khan has contributed research across disciplinary lines in biomedical imaging, optical tomography, power grid networks, and control systems with specific focus on using modeling, simulation, and inverse approaches. In furthering his connections with the global community of mathematicians, Khan has coordinated a graduate exchange program with the University of Bremen, Germany.[1] In addition, Khan served for a year as Interim Chair, Applied Mathematics and Science, Khalifa University, Abu Dhabi, UAE. He was a member of the organizing committee for the conference on “Inverse Problems: Modeling and Simulation,” Antalya, Turkey from 2010 through 2014.[2] He presently serves on the editorial boards of the International Journal of Applied Nonlinear Science,[3] the International Journal of Tomography and Statistics,[4] and the International Journal of Applied Mathematical Analysis and Applications.[5]
Research[edit]
Khan's research concentrations have emphasized mathematical modeling, simulation, and analysis of complex systems. A specialty interest focuses on problems that are interdisciplinary and use mathematical inquiry to address societal needs, often applying the inverse approach to formulating problems mathematically. As Principal or Co-Principal Investigator Khan has conducted research sponsored by grants. Notable projects have been inverse parameter estimation for approximation and control with applications to biomedical imaging and interdisciplinary research on power systems. Projects have been funded by the Humboldt Foundation (Germany)[6], the Burroughs Wellcome Fund[7], and the U.S. National Science Foundation.[8]
Grants (Recent)[edit]
- Co-Principal Investigator, National Science Foundation,[8] NRT – DESE, 2016 – 2021
- Principal Investigator, Burroughs Wellcome Fund,[7] Math in Medicine, 2018 – 2019
- Co-Principal Investigator, U.S. Department of Education,[9] GAANN, 2015 – 2018
Positions[edit]
University of North Carolina at Charlotte, Charlotte, NC, 2020 – Present[edit]
The University of North Carolina at Charlotte is the largest institution of higher education in the growing Charlotte region, a banking and business hub. Serving 24,000 undergraduates, with an enrollment representing 45 U.S. states and 103 countries, UNC-C is the second largest of the 9 universities in the UNC system. UNC-C is a research-intensive institution with an R2 status. The Department of Mathematics and Statistics[10] employs 60 full time faculty and staff.
Positions Held[edit]
Department of Mathematics and Statistics
Department Chair, (2020 – Present)
Professor, Mathematics (2020 – Present)
Courses Taught[edit]
Graduate courses Khan teaches include subjects in applied mathematics: complex analysis, partial differential equations, estimation and control, calculus of variation and optimal control, creative inquiry on integral transforms, creative inquiry on radiology and mammography, estimation and control of infinite dimensional systems, and methods of applied mathematics.
Clemson University, Clemson, SC, 2000 – 2020[edit]
Clemson University[11] is a public institution and with 24,000 undergraduate students. Clemson holds the R1 rating as a research intensive doctoral university. The School of Mathematical and Statistical Sciences has more than 50 regular faculty, 25 lecturers, 7 staff, 200 undergraduate students, and 120 graduate students of which 35 are completing Ph.D. degrees.
Positions Held[edit]
School of Mathematical and Statistical Sciences[edit]
Associate Director for Graduate Studies (2017 – 2020)
Professor of Mathematical Sciences (2012 – 2020)
Associate Professor of Mathematical Sciences (2006 – 2012)
Assistant Professor of Mathematical Sciences (2000 – 2006)
College of Science[edit]
Director of Global Engagement Initiatives, 2018 – 2020
Publications[edit]
Taufiquar Khan has published chapters in 2 applied mathematics books[12][13], 25-plus articles in refereed journals, 12-plus conference prceedings, and has delivered 40-plus invited presentations at conferences, seminars, and workshops.
Book Chapters[edit]
- Khan, T. (2021) Computational Algorithms for ill-posed Inverse Problems. In: Siddiqi A.H., Singh R. C., and Gowda G. (eds) Computational Science and its Applications. New York: CRC-Press
- Khan T. (2020) Inverse Problems Involving PDEs with Applications to Imaging. In: Manchanda P., Lozi R., Siddiqi A. (eds) Mathematical Modelling, Optimization, Analytic and Numerical Solutions. Industrial and Applied Mathematics. Springer, Singapore. doi:10.1007/978-981-15-0928-5_9
Articles[edit]
Selected listing: Complete listing of articles at https://scholar.google.com/citations?user=L0Jt0PoAAAAJ&hl=en
- Changes in the frequency of tropical cyclones over the North Indian Ocean OP Singh, TMA Khan, MS Rahman. Meteorology and Atmospheric physics 75 (1), 11-20 Cited by 204 2000
- A reconstruction algorithm for electrical impedance tomography based on sparsity regularization B Jin, T Khan, P MaassInternational. Journal for Numerical Methods in Engineering 89 (3), 337-353 Cited by 129 2012
- Absorption and scattering images of heterogeneous scattering media can be simultaneously reconstructed by use of dc dataY Xu, X Gu, T Khan, H Jiang. Applied optics 41 (25), 5427-5437 Cited by 75 2002
- A new diffusion approximation to the radiative transfer equation for scattering media with spatially varying refractive indices. T Khan, H Jiang. Journal of Optics A: Pure and Applied Optics 5 (2), Cited by 137 68 2003
- Function spaces and optimal currents in impedance tomography. B Jin, T Khan, P Maass, M Pidcock. Walter de Gruyter GmbH & Co. KG 19 (1), 25-48 Cited by 48 2011
- Comparison of PN or spherical harmonics approximation for scattering media with spatially varying and spatially constant refractive indices. T Khan, A Thomas. Optics communications 255 (1-3), 130-166 Cited by 39 2005
- Cardamom powder supplementation prevents obesity, improves glucose intolerance, inflammation and oxidative stress in liver of high carbohydrate high fat diet induced obese rats. MM Rahman, MN Alam, A Ulla, FA Sumi, N Subhan, T Khan, B Sikder. Lipids in health and disease 16 (1), 1-12 Cited by 36 2017
- Convergence and application of a modified iteratively regularized Gauss–Newton algorithm. A Smirnova, RA Renaut, T Khan. Inverse problems 23 (4), 1547 Cited by 29 2007
- Physically based regularization of hydrogeophysical inverse problems for improved imaging of process-driven systems. EK Oware, SMJ Moysey, T Khan. Water Resources Research 49 (10), 6238-6247 Cited by 27 2013
- Classification trees for complex synchrophasor dat. A Pal, JS Thorp, T Khan, SS Young. Electric Power Components and Systems 41 (14), 1381-1396 Cited by 26 2013
- 1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss–Newton algorithm, T Khan, A Smirnov. Applied mathematics and computation 161 (1), 149-170 Cited by 26 2005
- Inverse problem in refractive index based optical tomography. T Khan, A Thomas. Inverse problems 22 (4), 1121 Cited by 23 2006
- Inverse problem in optical tomography and its numerical investigation by iteratively regularized methods. AB Bakushinsky, T Khan, A Smirnova. Walter de Gruyter 13 (6), 537-551 Cited by 22 2005
- Improving the efficacy of car-following models with a new stochastic parameter estimation and calibration method. M Rahman, M Chowdhury, T Khan, P Bhavsar. IEEE Transactions on Intelligent Transportation Systems 16 (5), 2687-2699 Cited by 20 2015
- A low-cost CPW-fed multiband frequency reconfigurable antenna for wireless applications. T Khan, MU Rahman, A Akram, Y Amin, H TenhunenElectronics 8 (8), 900 Cited by 17 2019
References[edit]
- ↑ University of Bremen, Germany. https://www.uni-bremen.de
- ↑ Annual Conference "Inverse Problems: Modeling and Simulation. http://www.ipms-conference.org and https://www.tandfonline.com/toc/gipe20/22/1
- ↑ International Journal of Applied Nonlinear Science. https://www.inderscience.com/jhome.php?jcode=ijans
- ↑ International Journal of Tomography and Statistics. https://www.scimagojr.com/journalsearch.php?q=17700156502&tip=sid&clean=0 and http://www.ceser.in/ceserp/index.php/ijts
- ↑ International Journal of applied Mathematical Analysis and Applications. http://www.aascit.org/journal/ijmaa
- ↑ Humboldt Foundation, Bonn-Bad Godesberg, Germany. https://www.humboldt-foundation.de/en/
- ↑ 7.0 7.1 Burroughs Wellcome Fund, Research Triangle Park, North Carolina. https://bwfund.org
- ↑ 8.0 8.1 U.S. National Science Foundation, Alexandria, VA. https://www.nsf.gov
- ↑ U. S. Department of Education. www2.ed.gov/programs/gaann/index.html
- ↑ Department of Mathematics and Statics, University of North Carolina at Charlotte. https://math.uncc.edu
- ↑ Clemson University. https://www.clemson.edu
- ↑ Khan, T. (2021) Computational Algorithms for ill-posed Inverse Problems. In: Siddiqi A.H., Singh R. C., and Gowda G. (eds) Computational Science and its Applications. New York: CRC-Press
- ↑ Khan T. (2020) Inverse Problems Involving PDEs with Applications to Imaging. In: Manchanda P., Lozi R., Siddiqi A. (eds) Mathematical Modelling, Optimization, Analytic and Numerical Solutions. Industrial and Applied Mathematics. Springer, Singapore. doi:10.1007/978-981-15-0928-5_9
Contact Information[edit]
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Taufiquar Khan, Ph.D., Professor and Chair
Department of Mathematics and Statistics
University of North Carolina at Charlotte
9201 University City Blvd, Fretwell 360E
Charlotte, NC 28223, U.S.A.
External Links[edit]
- Email: taufiquar.khan
uncc.edu - UNCC Math Department Website: https://math.uncc.edu
- LinkedIn: https://linkedin.com/in/taufiquarkhan
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