Publications

XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
MM Hasan, MM Rahaman, A Pachkovskiy, I Ahmed, J Dawson, S Das
IAPR Workshop on Machine Vision for Industrial Inspection at ICPR 2026

Multimodal Transformer Based Generic Mixture Density Network for Scattering Timescale Estimation of Fast Radio Bursts
B Kharel, E Fonseca, S Das, M Ng, P Scholz, MW Simmons, L Kahinga,  A Khan
arXiv:2606.03596 2026

Towards efficient real-time video motion transfer via generative time series modeling
T Haque, MAB Syed, B Jeong, X Bai, S Mohan, S Paul, I Ahmed, S Das
Multimedia Tools and Applications 2026

An unsupervised approach towards promptable defect segmentation in laser powder bed fusion by Segment Anything
I Zarin Era, I Ahmed, Z Liu, S Das
npj Advanced Manufacturing 2025

Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer
T Haque, S Das
53rd Asilomar Conference on Signals, Systems, and Computers 2025

In-situ melt pool characterization via thermal imaging for defect detection in Directed Energy Deposition using Vision Transformers
IZ Era, F Zhou, AS Raihan, I Ahmed, A Abul-Haj, J Craig, S Das, Z Liu
Journal of Manufacturing Processes 2025

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach
D Campa, M Saeedi, I Colbert, S Das
IEEE Conference on Games 2025

Model-Based and Model-Free point prediction algorithms for locally stationary random fields
S Das, Y Zhang, DN Politis
Applied Sciences 2023

Kernel distance measures for time series, random fields and other structured data
S Das, HN Mhaskar, A Cloninger
Frontiers in Applied Mathematics and Statistics 2021

Predictive inference for locally stationary time series with an application to climate data
S Das, DN Politis
Journal of the American Statistical Association 2021

Nonlinear prediction via Hermite transformation
T McElroy, S Das
Statistical Theory and Related Fields 2021

Nonparametric estimation of the conditional distribution at regression boundary points
S Das, DN Politis
The American Statistician 2020

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness
MM Rahaman, E Chang, T Haque, S Das
arXiv:2507.09687 2025

Learning low-precision structured subnetworks using joint layerwise channel pruning and uniform quantization
X Zhang, I Colbert, S Das
Applied Sciences 2022

An energy-efficient edge computing paradigm for convolution-based image upsampling
I Colbert, K Kreutz-Delgado, S Das
IEEE Access 2021

PT-MMD: A novel statistical framework for the evaluation of generative systems
A Potapov, I Colbert, K Kreutz-Delgado, A Cloninger, S Das
53rd Asilomar Conference on Signals, Systems, and Computers 2019

AX-DBN: An approximate computing framework for the design of low-power discriminative deep belief networks
I Colbert, K Kreutz-Delgado, S Das
International Joint Conference on Neural Networks (IJCNN) 2019 

A design methodology for efficient implementation of deconvolutional neural networks on an FPGA
X Zhang, O Neopane, S Das, K Kreutz-Delgado,
arXiv:1705.02583 2017

A nonparametric framework for quantifying generative inference on neuromorphic systems
O Neopane, S Das, E Arias-Castro, K Kreutz-Delgado
IEEE International Symposium on Circuits and Systems (ISCAS) 2016

Mapping generative models onto a network of digital spiking neurons
BU Pedroni, S Das, JV Arthur, PA Merolla, BL Jackson, DS Modha, K Kreutz-Delgado, G Cauwenberghs
IEEE transactions on biomedical circuits and systems 2016

Gibbs sampling with low-power spiking digital neurons
S Das, BU Pedroni, P Merolla, J Arthur, AS Cassidy, BL Jackson,  DS Modha, G Cauwenberghs, K Kreutz-Delgado
IEEE International Symposium on Circuits and Systems (ISCAS) 2015

Event-driven contrastive divergence for spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 7, 272

System-conditioned reparameterization of the SCAN functional for accurate bandgaps: from analytical constraints to machine learning
V Dovale-Farelo, P Tavadze, MAL Marques, S Das, K Choudhary, A Bautista-Hernández, A Romero
npj Computational Materials 2026

GIF: Generative Inspiration for Face Recognition at Scale
S Ebrahimi, S Rahimi, A Dabouei, S Das, JM Dawson, NM Nasrabadi
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) 2025

geodl: An R package for geospatial deep learning semantic segmentation using torch and terra
AE Maxwell, S Farhadpour, S Das
PLoS One 2024

A cluster-based human resources analytics for predicting employee turnover using optimized Artificial Neural Networks and data augmentation
MR Shafie, H Khosravi, S Farhadpour, S Das, I Ahmed
Decision Analytics Journal 2024

Dictionaries in machine learning
K Kreutz-Delgado, B Rao, I Fedorov, S Das
Signal Processing and Machine Learning Theory 2023

System and method for facilitating data transfer using a shared non-deterministic bus
S Das, P Crary, A Raykhman
US Patent 8,848,731

System and method for improving throughput of data transfers using a shared non-deterministic bus
S Das, P Crary, A Raykhman
US Patent 8,566,491

Clock divider system and method with incremental adjustment steps while controlling tolerance in clock duty cycle
S Das, H Zhu, KR Bowles, ML Severson
US Patent 8,433,944

Method and apparatus for controlling the programming and erasing of flash memory
P Wang, S Das
US Patent 6,421,757

Method and apparatus for pre-conditioning flash memory devices
S Krishnamurthy, S Das, M Le, F Van Gieson, S Bhattacharya, U Sharma
US Patent 6,233,178