Design of Cryptographic Core for Protecting Low Cost IoT Devices. - Dennis Agyemanh Nana Gookyi; Kwangki Ryoo (MUE/FutureTech, 2018)

Selecting a Synthesizable RISC-V Processor Core for Low-cost Hardware Devices. - Dennis Agyemanh Nana Gookyi; Kwangki Ryoo (J. Inf. Process. Syst., 2019)

NIST Lightweight Cryptography Standardization Process: Classification of Second Round Candidates, Open Challenges, and Recommendations. - Dennis Agyemanh Nana Gookyi; Guard Kanda; Kwangki Ryoo (J. Inf. Process. Syst., 2021)

Exploring GEMM Operations on Different Configurations of the Gemmini Accelerator. - Dennis Agyemanh Nana Gookyi; Eunchong Lee; Kyungho Kim; Sung-Joon Jang; Sang-Seol Lee (ISOCC, 2022)

A Lightweight System-On-Chip Based Cryptographic Core for Low-Cost Devices. - Dennis Agyemanh Nana Gookyi; Kwangki Ryoo (Sensors, 2022)

The Efficiency of Convolution on Gemmini Deep Learning Hardware Accelerator. - Dennis Agyemanh Nana Gookyi; Michael Wilson; Roger Kwao Ahiadormey; Derek Kwaku Pobi Asiedu; Paul Danquah; Raymond Gyaang (AFRICON, 2023)

Deep Learning Accelerators' Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study. - Dennis Agyemanh Nana Gookyi; Eunchong Lee; Kyungho Kim; Sung-Joon Jang; Sang-Seol Lee (Sensors, 2023)

Edge Impulse vs TensorFlow: A Comparative Analysis of TinyML Platforms for Maize Leaf Disease Identification. - Ewura Abena Essanoah Arthur; Fortunatus Aabangbio Wulnye; Dennis Agyemanh Nana Gookyi; Kwame Opuni-Boachie Obour Agyekum; Paul Danquah; Raymond Gyaang (ICTAS, 2024)

TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification. - Fortunatus Aabangbio Wulnye; Ewura Abena Essanoah Arthur; Dennis Agyemanh Nana Gookyi; Derek Kwaku Pobi Asiedu; Michael Wilson; Justice Owusu Agyemang (ICTAS, 2024)

Precision Agriculture Deep Neural Network Driven Multi-hop Plant Image Noisy Data Transmission and Plant Disease Detection. - Derek Kwaku Pobi Asiedu; Kwadwo Boateng Ofori-Amanfo; Kwabena Ebo Bennin; Mustapha Benjillali; Kyoung-Jae Lee; Dennis Agyemanh Nana Gookyi; Samir Saoudi (ISIVC, 2024)

Deep neural network-driven precision agriculture multi-path multi-hop noisy plant image data transmission and plant disease detection. - Derek Kwaku Pobi Asiedu; Kwabena Ebo Bennin; Dennis Agyemanh Nana Gookyi; Mustapha Benjillali; Samir Saoudi (Ann. des Télécommunications, 2025)

Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection. - Akwasi Asare; Dennis Agyemanh Nana Gookyi; Derrick Boateng; Fortunatus Aabangbio Wulnye (CoRR, 2025)