Hi! Welcome to my website! :)
As a Stanford Energy Fellow, I focus on developing emerging memory and logic technologies using oxide semiconductors and low dimensional materials for energy-efficient AI under the mentorship of Prof. H.-S. Philip Wong and Prof. Alberto Salleo.
I obtained my Ph.D. in Electrical and Computer Engineering from Georgia Tech, advised by Prof. Eric M. Vogel. My doctoral research focused on adaptive oxide-based brain-inspired analog and in-memory computing devices. By exploring optimizations at the material, device, and system levels in collaboration with IBM, I worked toward enhancing the performance and efficiency of these devices.
My overarching work bridges nanomaterials, fundamental device physics, chip fabrication, and practical system implementations to develop technologies aimed at reducing energy consumption in AI hardware.
PhD in Electrical and Computer Engineering, 2024
Georgia Institute of Technology
MS in Electrical and Computer Engineering, 2022
Georgia Institute of Technology
Materials Engineering, 2019
Purdue University
BSc in Materials Engineering, 2017
Bangladesh University of Engineering and Technology
Apr 2025 - I have received the Sigma Xi Best Ph.D. Thesis Award at Georgia Tech.
Jan 2025 - I have been selected for Forbes 30 under 30 North America 2025.
Sep 2024 - Our paper on high-bandwidth complementary oxide gain cell memory have been accepted to IEDM 2024.
Mar 2024 - I have started at Stanford University as an Energy Postdoctoral Fellow.
Feb 2024 - Our paper on MAX phase memristor has been accepted to Advanced Functional Materials.
Jan 2024 - Our paper on transfer learning on analog hardware has been accepted to Frontiers in Electronics.
Dec 2023 - I gave 3 talks at MRS Fall 2023, where I received the MRS Graduate Student Award and the APL Machine Learning Outstanding Oral Presentation Award.
Nov 2023 - I gave a talk at Electrical Engineering, Stanford University.
Oct 2023 - Our paper on compact modeling of adaptive oxide resistive memories has been accepted to Applied Physics Letters.
Aug 2023 - I have been selected for EECS Rising Stars 2023.
Jul 2023 - I gave a presentation at IBM TJ Watson Research Center.
May 2023 - I have started an internship at IBM TJ Watson Research Center.
Apr 2023 - I gave a talk at Stanford University.
Apr 2023 - I have received the Colonel Oscar P. Cleaver Award for best PhD Proposal in GT ECE.
Georgia Tech ECE Featured Graduate, Spring 2024: GT ECE Feature; FB, GT ECE; LinkedIn, GT ECE; IG, GT ECE; Twitter, GT ECE
Stanford Energy Postdoctoral Fellowship 2024: Stanford Feature; Georgia Tech Feature; IG, GT ECE; LinkedIn, GT ECE
MRS Graduate Student Award 2023: GT ECE Feature; Georgia Tech MSE Feature; MRS Feature, Twitter, GT MSE; FB, GT MSE; IG, GT MSE; LinkedIn, GT ECE; LinkedIn, GT MSE
APL Machine Learning Outstanding Oral Presentation Award, MRS 2023: GT ECE Feature; Twitter, GT ECE; LinkedIn, GT ECE
Outstanding Graduate Student Award, Georgia Tech ECE 2023: GT ECE Feature; LinkedIn, GT ECE
EECS Rising Stars 2023: EECS Rising Stars Feature
Cadence Scholarship 2023: Acceswire News Feature; Cadence Design Systems Feature; Georgia Tech Feature; X, GT ECE; FB, GT ECE
IBM PhD Fellowship Award 2022-2024: IBM Official Feature; GT ECE Feature
“The scientific equations we seek are the poetry of nature.” –Prof. Chen Ning Yang
“Success is not final, failure is not fatal: it is the courage to continue that counts.” –Winston S. Churchill