Maeesha Binte Hashem

13 papers C 2Misc 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. ISCAS Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi
2025	Misc	`conf`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. VLSID Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi
2024	J	`jnl`	ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2024	J	`jnl`	Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision. CoRR Dinithi Jayasuriya, Nastaran Darabi, Maeesha Binte Hashem, Amit Ranjan Trivedi
2024	J	`jnl`	TimeFloats: Train-in-Memory with Time-Domain Floating-Point Scalar Products. CoRR Maeesha Binte Hashem, Benjamin Parpillon, Divake Kumar, Dinithi Jayasuriya, Amit Ranjan Trivedi
2024	Misc	`conf`	Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. VLSID Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Amit Ranjan Trivedi
2023	J	`jnl`	ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2023	—	`conf`	Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
2023	—	`conf`	Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2023	J	`jnl`	Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2023	J	`jnl`	Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning. CoRR Davide Giacomini, Maeesha Binte Hashem, Jeremiah Suarez, Swarup Bhunia, Amit Ranjan Trivedi
2022	—	`conf`	Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
2019	C	`conf`	Unmanned Floating Waste Collecting Robot. TENCON Abir Ahsan Akib, Faiza Tasnim, Disha Biswas, Maeesha Binte Hashem, Kristi Rahman, Arnab Bhattacharjee, Shaikh Anowarul Fattah