A Customized Processing-in-Memory Architecture for Biological Sequence Alignment. - Nasrin Akbari; Mehdi Modarressi; Masoud Daneshtalab; Mohammad Loni (ASAP, 2018)

ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems. - Mohammad Loni; Masoud Daneshtalab; Mikael Sjödin (DSD, 2018)

Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems. - Mohammad Loni; Amin Majd; Abdolah Loni; Masoud Daneshtalab; Mikael Sjödin; Elena Troubitsyna (MCSoC, 2018)

Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan. - Adnan Ghaderi; Masoud Daneshtalab; Mohammad Ashjaei; Mohammad Loni; Saad Mubeen; Mikael Sjödin (CPS Summer School, PhD Workshop, 2019)

TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. - Najmeh Nazari; Mohammad Loni; Mostafa E. Salehi; Masoud Daneshtalab; Mikael Sjödin (DSD, 2019)

Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments. - Maghsood Salimi; Amin Majd; Mohammad Loni; Tiberiu Seceleanu; Cristina Seceleanu; Marjan Sirjani; Masoud Daneshtalab; Elena Troubitsyna (ECBS, 2019)

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. - Mohammad Loni; Ali Zoljodi; Sima Sinaei; Masoud Daneshtalab; Mikael Sjödin (ICANN (1), 2019)

SoFA: A Spark-oriented Fog Architecture. - Neda Maleki; Mohammad Loni; Masoud Daneshtalab; Mauro Conti; Hossein Fotouhi (IECON, 2019)

A Cloud Based Super-Optimization Method to Parallelize the Sequential Code's Nested Loops. - Amin Majd; Mohammad Loni; Golnaz Sahebi; Masoud Daneshtalab; Elena Troubitsyna (MCSoC, 2019)

DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. - Mohammad Loni; Ali Zoljodi; Daniel Maier 002; Amin Majd; Masoud Daneshtalab; Mikael Sjödin; Ben H. H. Juurlink; Reza Akbari (CEC, 2020)

A review on deep learning methods for ECG arrhythmia classification. - Zahra Ebrahimi; Mohammad Loni; Masoud Daneshtalab; Arash Gharehbaghi (Expert Syst. Appl. X, 2020)

DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. - Mohammad Loni; Sima Sinaei; Ali Zoljodi; Masoud Daneshtalab; Mikael Sjödin (Microprocess. Microsystems, 2020)

Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System. - Najda Vidimlic; Alexandra Levin; Mohammad Loni; Masoud Daneshtalab (VISIGRAPP (5: VISAPP), 2021)

TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. - Mohammad Loni; Hamid Mousavi; Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin (DATE, 2022)

3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. - Ali Zoljodi; Mohammad Loni; Sadegh Abadijou; Mina Alibeigi; Masoud Daneshtalab (ICANN (1), 2022)

PR-DARTS: Pruning-Based Differentiable Architecture Search. - Hamid Mousavi; Mohammad Loni; Mina Alibeigi; Masoud Daneshtalab (CoRR, 2022)

FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. - Mohammad Loni; Ali Zoljodi; Amin Majd; Byung Hoon Ahn; Masoud Daneshtalab; Mikael Sjödin; Hadi Esmaeilzadeh (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices. - Mohammad Loni (2022)

Learning Activation Functions for Sparse Neural Networks. - Mohammad Loni; Aditya Mohan; Mehdi Asadi; Marius Lindauer (AutoML, 2023)

Learning Activation Functions for Adversarial Attack Resilience in CNNs. - Maghsood Salimi; Mohammad Loni; Marjan Sirjani (ICAISC (1), 2023)

SARAF: Searching for Adversarial Robust Activation Functions. - Maghsood Salimi; Mohammad Loni; Marjan Sirjani; Antonio Cicchetti; Sara Abbaspour Asadollah (ICMVA, 2023)

Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. - Mehdi Asadi; Fatemeh Poursalim; Mohammad Loni; Masoud Daneshtalab; Mikael Sjödin; Arash Gharehbaghi (CoRR, 2023)

Auto-SpMV: Automated Optimizing SpMV Kernels on GPU. - Mina Ashoury; Mohammad Loni; Farshad Khunjush; Masoud Daneshtalab (CoRR, 2023)

ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments. - Maghsood Salimi; Mohammad Loni; Sara Afshar; Marjan Sirjani; Antonio Cicchetti (CoRR, 2023)

DASS: Differentiable Architecture Search for Sparse Neural Networks. - Hamid Mousavi; Mohammad Loni; Mina Alibeigi; Masoud Daneshtalab (ACM Trans. Embed. Comput. Syst., 2023)

ConstScene: A Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environment. - Maghsood Salimi; Mohammad Loni; Sara Afshar; Antonio Cicchetti; Marjan Sirjani (ICPRAI (2), 2024)

Language Supervised Human Action Recognition with Salient Fusion: Construction Worker Action Recognition as a Use Case. - Mohammad Mahdavian; Mohammad Loni; Mo Chen (CoRR, 2024)

A review on generative AI models for synthetic medical text, time series, and longitudinal data. - Mohammad Loni; Fatemeh Poursalim; Mehdi Asadi; Arash Gharehbaghi (npj Digit. Medicine, 2025)

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG. - Muhammed Rizwan; Lars Carlsson; Mohammad Loni (CoRR, 2025)