Uzma Amir is an Instructor in the Department of Computer Science & Information Technology at the University of the District of Columbia, where she specializes in programming, web development, and scientific computing. Her research focuses on molecular spintronics and magnetic tunnel junction devices, utilizing Monte Carlo simulations to explore equilibrium properties, and she has contributed to NSF-funded projects and peer-reviewed publications in computational physics and nanotechnology.
Experience
Education
Doctor of Philosophy in Computer Science, University of the District of Columbia [in progress] Master of Science in Computer Science, University of the District of Columbia Master of Science in Physics, University of Dhaka, Bangladesh Bachelor of Science in Physics, University of Dhaka, Bangladesh
Roles
Instructor, Department of Computer Science and Information Technology, UDC, 2019-Present Coordinator, Amazon Next, UDC, 2022 Adjunct Faculty, Department of Mechanical Engineering, UDC, 2019-21 Visiting Instructor, , Department of Computer Science and Information Technology, UDC, 2017-19 Adjunct Faculty, Department of Biology, Chemistry, and Physics, UDC, 2014-18
Courses Taught
Intro Programming: Python (Lecture and Lab) Intro Web Page Development and HTML (Lecture and Lab) Scientific Programming Computing Foundation Computer Science I (C++ Language, Lecture & Lab) Computer Science II (C++ Language, Lecture & Lab) Programming for Engineering College Phy I and II (Lecture and Lab) Computers Application & Microsoft Office 2014 (Lecture & Lab)
Expertise
Programming Languages: HTML, CSS, SQL server, C/C++, Java Comprehensive SQL Server 2014/2012 DBA & TSQL Programming Cisco CCNA1, CCNA2 and CCNA3 Instructor training ITC Cyberops Associate Teacher Training Class
Research Focus / Works in Progress
Magnetic tunnel junction based molecular spintronics device (MTJMSD) using Monte Carlo Simulation (MSC)
Leadership
Student Poster Judge, Consortium for Computing Sciences in Colleges (CCSC) Eastern, 2021
Impact
Selected Publications
Tyagi, P., Riso, C., Amir, U., Rojas-Dotti, C., & Martínez-Lillo, J. (2020). Exploring room-temperature transport of single-molecule magnet-based molecular spintronics devices using the magnetic tunnel junction as a device platform. RSC Advances, 10(22), 13006-13015. https://doi.org/10.1039/c9ra09003g
Dillard, J., Amir, U., Tyagi, P., & Lamberti, V. (2020). Structural stability of magnetic tunnel junction based molecular spintronics devices (MTJMSD). In Proceedings of the ASME International Mechanical Engineering Congress and Exposition.https://doi.org/10.1115/IMECE2020-24134
Waqar, Z., Dahal, B. R., Mutunga, E., Savadkoohi, M., Amir, U., Suh, P., & Tyagi, P. (2021). The hysteresis LOOP studies of magnetic tunnel junction-based molecular spintronics devices (MTJMSD) employing Monte Carlo simulations. In Proceedings of the 2021 IEEE 21st International Conference on Nanotechnology. https://par.nsf.gov/servlets/purl/10332049
Dahal, B., Savadkoohi, M., Grizzle, A., Amir, U., Suh, P., D’Angelo, C., & Tyagi, P. (2021). Monte Carlo simulations exploring the impact of anisotropy on the equilibrium properties of magnetic tunnel junction-based molecular spintronics device. Bulletin of the American Physical Society.
Recognitions
Recipient, Violet M. Yates Scholarship, Intensive American Language Center, Washington State University, 2011
