Unmanned Floating Waste Collecting Robot. - Abir Akib; Faiza Tasnim; Disha Biswas; Maeesha Binte Hashem; Kristi Rahman; Arnab Bhattacharjee; Shaikh Anowarul Fattah (TENCON, 2019)

Solving Boolean Satisfiability with Stochastic Nanomagnets. - Maeesha Binte Hashem; Nastaran Darabi; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (ICECS 2022, 2022)

Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. - Shamma Nasrin; Maeesha Binte Hashem; Nastaran Darabi; Benjamin Parpillon; Farah Fahim; Wilfred Gomes; Amit Ranjan Trivedi (AICAS, 2023)

Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. - Nastaran Darabi; Maeesha Binte Hashem; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (ISQED, 2023)

Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. - Davide Giacomini; Maeesha Binte Hashem; Jeremiah Suarez; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 2023)

Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. - Davide Giacomini; Maeesha Binte Hashem; Jeremiah Suarez; Amit Ranjan Trivedi (VLSID, 2024)

ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. - Nastaran Darabi; Maeesha Binte Hashem; Hongyi Pan; Ahmet Enis Çetin; Wilfred Gomes; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. - Dinithi Jayasuriya; Nastaran Darabi; Maeesha Binte Hashem; Amit Ranjan Trivedi (ISCAS, 2025)

TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. - Maeesha Binte Hashem; Benjamin Parpillon; Divake Kumar; Dinithi Jayasuriya; Amit Ranjan Trivedi (VLSID, 2025)