"If we knew what it was we were doing, it would not be called research, would it?"
- Albert Einstein
"If we knew what it was we were doing, it would not be called research, would it?"
- Albert Einstein
Emerging Nanoscale Transistors: Negative Capacitance FETs, Gate-All-Around FETs, Tunneling FETs, Compact Device Modeling
Spintronic Memory Devices: Emerging Magnetoresistive RAM (MRAM), Voltage-Controlled Magnetic Anisotropy (VCMA) physics
Low-Dimensional Semiconductors: 2D Transition Metal Dichalcogenides (InSe, MoS2, WS2), Heterostructures & Interface Physics
Optoelectronics & Energy Materials: Perovskite Solar Cells, Transition Metal Oxide Hole Transport Layers (V2O5)
Graduate Research Assistant, TF Research Group
November 2025 – Present
Undergraduate Thesis Collaboration, END Research Group
January 2023 – February 2024
Academic Skills: Electronic Device Physics, VLSI, Materials Characterization Techniques, Density Functional Theory (DFT)
Numerical Simulation: Silvaco ATLAS, Sentaurus TCAD, MATLAB, Quantum Espresso, Lumerical FDTD, SCAPS-1D
Circuit-Layout Design & Simulation: Cadence Virtuoso, PSpice, LTSpice, Proteus, TinkerCAD
Programming & Scripting: Python, C, Arduino, Verilog HDL, Assembly Language 8086, HTML
Data Analysis: OriginPro, Microsoft Excel, WebPlotDigitizer, Pandas, NumPy, Matplotlib
Modeling & Typesetting: LaTeX, Powerpoint, AutoCAD, Illustrator, Draw.io, Sketchup
Analytical Study of Negative Capacitance in Back-Gated InSe FETs
(Revising for submission to IEEE Transactions on Electron Devices)
Research Associate:
Mayukh Mallick, Lecturer of CSE, Southeast University
Supervisors:
Dr. Mainul Hossain, Associate Professor of EEE, University of Dhaka
Mir Md Fahimul Islam, PhD Student, ECE, Purdue University
As the demand for energy-efficient electronics continues to surge, traditional MOSFET technology faces a major limitation—the inability to break through the Boltzmann limit, which restricts power scaling. This is where Negative Capacitance Field-Effect Transistors (NCFETs) offer an innovative solution by employing ferroelectric materials to achieve a sub-60 mV/decade subthreshold swing. Our analytical model, which includes Indium Selenide (InSe)—a two-dimensional semiconductor known for its remarkable carrier mobility and tunable bandgap energy—shows an impressive 96.43% reduction in the subthreshold swing. This advancement enables a higher on-state current of 2.2 × 10⁵ A/µm and an exceptional seven-order on-off current ratio. Such enhancements not only improve transistor efficiency but also open the door for ultra-low-power circuits, ultimately revolutionizing the field of nanoelectronics.
Low-Dimensional InSe-Based GAA-ISFETs for Highly Sensitive pH Sensors
(Manuscript under preparation targeting IEEE Sensors Journal)
Research Associate:
Mayukh Mallick, Lecturer of CSE, Southeast University
Supervisors:
Dr. Mainul Hossain, Associate Professor of EEE, University of Dhaka
Sarah Cynthia Gomes, PhD Student, EECS, UC Berkeley
Imagine a world where pH sensors are not only highly sensitive but also compact and energy-efficient, revolutionizing industries from healthcare to environmental monitoring. Presenting the InSe-based nanowire field-effect transistor (NW-FET), a cutting-edge pH sensor that utilizes the unique properties of indium selenide (InSe) and hafnium oxide (HfO₂) to provide unparalleled performance. This compact sensor outshines conventional silicon-based devices, showcasing an impressive on-off current ratio of 13.56 orders and a maximum current sensitivity of 105 per pH. Discover the future of pH sensing, where nanoscale precision meets practical applications, and see how InSe-NW-FETs establish a new benchmark for sensitivity, compactness, and efficiency.
M. A. Kowshik*, M. Mallick*, F. I. Sakib, and M. Hossain, "An Analytical Approach to Explore Negative Capacitance in InSe Back-Gated-Junctionless Transistors," (Revising to submit in IEEE Transactions on Electron Devices).
M. A. Kowshik*, M. Mallick*, S. C. Gomes, and M. Hossain, ”Low-Dimensional InSe based Field-Effect Transistor for Highly Sensitive pH Sensors,” (Manuscript under preparation).
Y. A. Pritom, M. S. Rahman, H. R. Rahman, M. A. Kowshik, and M. A. R. Ahad. "Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features." (2022). In: Ahad, M.A.R., Inoue, S., Roggen, D., Fujinami, K. (eds) Sensor- and Video-Based Activity and Behavior Computing. Smart Innovation, Systems, and Technologies, vol. 291. Springer, Singapore. (Link)
M. A. Kowshik*, Y. A. Pritom*, M. S. Rahman, A. Akbar, and M. A. R. Ahad. "Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier-and Wavelet-based Features." In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 434-439. 2021. (Link)
(*equal contribution)
VLSI and Verilog Project (Fall 2023): Design and verification of an 8-bit Decoder using Verilog HDL and Cadence, including the Verilog Code, Testbench, Synthesis, and Physical Design (Netlist Generation)
Electrical Design and Drafting Project (Fall 2022): Design a fire detection & alarm system for a ready-made garment factory and a complete electrical wiring design for a multi-story residential building
Modeling of a 9-Bus Power System (Spring 2022): Calculated Voltage, Real Power, Reactive Power, and Line Loss using the Gauss-Seidel method with MATLAB scripting
Chemical Synthesis of Silver (Ag) Nano-Particles (Spring 2024): Synthesized Ag NP from silver nitrate (AgNO3), using trisodium citrate (Na3C6H5O7) as a stabilizing agent and sodium borohydride (NaBH4) as a reducing agent
Personal Project (2021-2022): Developing the railway traffic safety system based on machine learning and IoT (approx 3000$ fully funded by ICT Division and Bangladesh Railway)
Self-Motivated Project (2022): A safety radar system for a car parking area based on a microcontroller was developed using Arduino scripting