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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Electrical & Electronic Engineering




Dr. Samee Azad



Designation: Assistant Professor

Email: samazad.eee@aust.edu

Office Extension:

Room No:



Research Interests

  • Phase transitional materials
  • Integrated Circuits

Educational Background

  • Ph.D, (Electrical Engineering), Clemson University, Clemson, South Carolina, USA
  • Master of Science (MSc), (Electrical Engineering), Clemson University, Clemsom, South Carolina, USA
  • Bachelor of Science (BSc), (Electrical and Electronic Engineering), Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

Honors and Achievements

Publications

Book Chapter
Journal Article
  1. VO2 thin film enabled free space modulation of infrared light using pulsed electric field, ACS Photonics, 2024, American Chemical Society. URL
  2. Self-polarized P(VDF-TrFE)/Carbon black composite piezoelectric thin film, Polymers, 2023. URL
  3. Indium Tin Oxide (ITO) based Ohmic Contacts on Bulk n-GaN Substrate, ECS Journal of Solid State Science and Technology, 2022. URL
  4. Synthesis and characterization of VO2 thin films on piezoelectric substrates, Thin Solid Films, 2022, Elsevier. URL
  5. Infrared Transmission Characteristics of Phase Transitioning VO2 on Various Substrates, Micromachines, 2022. URL
  6. Voltage triggered near-infrared light modulation using VO2 thin film, Optics Express, 2021, Optica. URL
Conference Proceedings
  1. Effect of strain on properties of metal doped VO2 based thermal sensors on muscovite substrate, MDPI 9th International Electronic Conference on Sensors and Applications, 2022. URL
  2. Investigation of VO2 Thin Film Grown on III-Nitride Epitaxial Layer, 2020 IEEE 20th International Conference on Nanotechnology (IEEE-NANO virtual conference), 2020. URL
  3. An automated method for brain tumor segmentation using cancerous hemisphere identification, IEEE Region 10 Humanitarian Technology Conference (R10HTC), 2017.
  4. An automatic scheme for brain tumor region detection from 3D MRI data based on enhanced intensity variation, IEEE Region 10 Conference (TENCON), 2017. URL
  5. Detection of sleep apnea using sub-frame based temporal variation of energy in beta band in EEG, IEEE International WIECON-ECE, 2016. URL
  6. An efficient scheme for detecting region of interest encompassing the brain tumor from 3D MRI data based on voxel statistics, IEEE International WIECON-ECE, 2016. URL
Others