Augmented reality for maintenance application on a mobile platform. - N. S. Lakshmprabha; Stathis Kasderidis; Panagiotis Mousouliotis; Loukas P. Petrou; Olga Beltramello (VR, 2015)

SqueezeJet: High-Level Synthesis Accelerator Design for Deep Convolutional Neural Networks. - Panagiotis G. Mousouliotis; Loukas P. Petrou (ARC, 2018)

Expanding a robot's life: Low power object recognition via FPGA-based DCNN deployment. - Panagiotis G. Mousouliotis; Konstantinos L. Panayiotou; Emmanouil G. Tsardoulias; Loukas P. Petrou; Andreas L. Symeonidis (MOCAST, 2018)

A Framework of Transfer Learning in Object Detection for Embedded Systems. - Ioannis Athanasiadis; Panagiotis Mousouliotis; Loukas Petrou (CoRR, 2018)

Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications. - Panagiotis G. Mousouliotis; Loukas P. Petrou (ARC, 2019)

SqueezeJet-3: An Accelerator Utilizing FPGA MPSoCs for Edge CNN Applications. - Panagiotis Mousouliotis; Ioannis Papaefstathiou; Loukas Petrou (FCCM, 2020)

CNN-Grinder: From Algorithmic to High-Level Synthesis descriptions of CNNs for Low-end-low-cost FPGA SoCs. - Panagiotis G. Mousouliotis; Loukas P. Petrou (Microprocess. Microsystems, 2020)

High Speed Implementation of the Deformable Shape Tracking Face Alignment Algorithm. - Nikos Petrellis; Stavros Zogas; Panagiotis Christakos; Georgios Keramidas; Panagiotis Mousouliotis; Nikolaos S. Voros; Christos P. Antonopoulos (DSD, 2021)

An Open-source Implementation of LSTM and GRU in the Ptolemy Simulation Framework. - Vasilis Daoulas; Nikolaos Tampouratzis; Panagiotis Mousouliotis; Ioannis Papaefstathiou (DS-RT, 2021)

Software Acceleration of the Deformable Shape Tracking Application: How to eliminate the Eigen Library Overhead. - Nikos Petrellis; Stavros Zogas; Panagiotis Christakos; Panagiotis Mousouliotis; Georgios Keramidas; Nikolaos S. Voros; Christos P. Antonopoulos (ESSE, 2021)

Exploiting Vitis Framework for Accelerating Sobel Algorithm. - Panagiotis Mousouliotis; Stavros Zogas; Panagiotis Christakos; Georgios Keramidas; Nikos Petrellis; Christos P. Antonopoulos; Nikolaos S. Voros (MECO, 2021)

Unified OpenCL Integration Methodology for FPGA Designs. - Topi Leppänen; Panagiotis Mousouliotis; Georgios Keramidas; Joonas Multanen; Pekka Jääskeläinen (NorCAS, 2021)

Challenges Towards Hardware Acceleration of the Deformable Shape Tracking Application. - Nikos Petrellis; Panagiotis Christakos; Stavros Zogas; Panagiotis Mousouliotis; Georgios Keramidas; Nikolaos S. Voros; Christos P. Antonopoulos (VLSI-SoC, 2021)

NITYMED. - Nikos Petrellis; Nikolaos S. Voros; Christos P. Antonopoulos; Georgios Keramidas; Panagiotis Christakos; Panagiotis Mousouliotis (IEEE DataPort, 2022)

On the OpenCL Support for Streaming Fixed-Function Accelerators on Embedded SoC FPGAs. - Panagiotis Mousouliotis; Topi Leppänen; Pekka Jääskeläinen; Nikos Petrellis; Panagiotis Christakos; Georgios Keramidas; Christos P. Antonopoulos; Nikolaos S. Voros (ARC, 2023)

SqueezeJet-3: An HLS-based Accelerator for Edge CNN Applications on SoC FPGAs. - Panagiotis Mousouliotis; Nikolaos Tampouratzis; Ioannis Papaefstathiou (ICAT, 2023)

Efficient OpenCL system integration of non-blocking FPGA accelerators. - Topi Leppänen; Atro Lotvonen; Panagiotis Mousouliotis; Joonas Multanen; Georgios Keramidas; Pekka Jääskeläinen (Microprocess. Microsystems, 2023)

A High Performance and Robust FPGA Implementation of a Driver State Monitoring Application. - Panagiotis Christakos; Nikos Petrellis; Panagiotis Mousouliotis; Georgios Keramidas; Christos P. Antonopoulos; Nikos S. Voros (Sensors, 2023)

A Novel Integrated Simulation Framework for Cyber-Physical Systems Modelling. - Nikolaos Tampouratzis; Panagiotis Mousouliotis; Ioannis Papaefstathiou (IEEE Trans. Parallel Distributed Syst., 2023)

A Parameterizable Convolution Accelerator for Embedded Deep Learning Applications. - Panagiotis Mousouliotis; Georgios Keramidas (ISVLSI, 2025)