Learning to Communicate with Autoencoders: Rethinking Wireless Systems with Deep Learning. - Manuel Eugenio Morocho Cayamcela; Judith Nkechinyere Njoku; Jeonghun Park; Wansu Lim (ICAIIC, 2020)

BLER performance evaluation of an enhanced channel autoencoder. - Judith Nkechinyere Njoku; Manuel Eugenio Morocho Cayamcela; Wansu Lim (Comput. Commun., 2021)

CGDNet: Efficient Hybrid Deep Learning Model for Robust Automatic Modulation Recognition. - Judith Nkechinyere Njoku; Manuel Eugenio Morocho Cayamcela; Wansu Lim (IEEE Netw. Lett., 2021)

The Role of 5G Wireless Communication System in the Metaverse. - Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Dong-Seong Kim 002 (APCC, 2022)

State-of-the-Art Object Detectors for Vehicle, Pedestrian, and Traffic Sign Detection for Smart Parking Systems. - Judith Nkechinyere Njoku; Goodness Oluchi Anyanwu; Igboanusi Ikechi Saviour; Cosmas Ifeanyi Nwakanma; Jae-Min Lee; Dong-Seong Kim 002 (ICTC, 2022)

"Creativia" Metaverse Platform for Exhibition Experience. - Cosmas Ifeanyi Nwakanma; Judith Nkechinyere Njoku; Jae-Young Jo; Chang-Hwan Lim; Dong-Seong Kim 002 (ICTC, 2022)

Predicting target data rates for dynamic spectrum allocation using Gaussian process regression. - Judith Nkechinyere Njoku; Manuel Eugenio Morocho Cayamcela; Angela Caliwag; Pei Xiao 001; Wansu Lim (ICT Express, 2022)

MetaHate: Text-based Hate Speech Detection for Metaverse Applications using Deep Learning. - Judith Nkechinyere Njoku; Anthony Uchenna Eneh; Cosmas Ifeanyi Nwakanma; Jae-Min Lee; Dong-Seong Kim 002 (ICTC, 2023)

Building a Metaverse for Transportation Systems: A Brief Review and Demonstration. - Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Dong Seong Kim 002 (ICUFN, 2023)

EL-Alert: An Explainable Lightweight AST Model for Military Situational Awareness and Surveillance. - Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Jae-Min Lee; Dong-Seong Kim 002 (ICTC, 2024)

A Review of Intrusion Detection Techniques in MQTT-Enabled IoT Networks. - Miracle Udurume; Judith Nkechinyere Njoku; Vladimir V. Shakhov; Insoo Koo (ICTC, 2024)

Explainable Data-Driven Digital Twins for Predicting Battery States in Electric Vehicles. - Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Dong-Seong Kim 002 (IEEE Access, 2024)

Metaverse in advanced manufacturing: Background, applications, limitations, open issues & future directions. - Gabriel Chukwunonso Amaizu; Judith Nkechinyere Njoku; Jae-Min Lee; Dong-Seong Kim 002 (ICT Express, 2024)

Explainable AI for Interpretable and Model-Agnostic Energy Consumption Prediction. - Cosmas Ifeanyi Nwakanma; Love Allen Chijioke Ahakonye; Judith Nkechinyere Njoku; Prashnna K. Gyawali; Anurag K. Srivastava 001 (IAS, 2025)

Trustworthy Battery Management: A Digital Twin Approach Leveraging XAI and Blockchain. - Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Jae-Min Lee; Dong-Seong Kim 002 (ICAIIC, 2025)

Leveraging Digital Twin Technology for Battery Management: A Case Study Review. - Judith Nkechinyere Njoku; Ebuka Chinaechetam Nkoro; Robin Matthew Medina; Cosmas Ifeanyi Nwakanma; Jae-Min Lee; Dong-Seong Kim 002 (IEEE Access, 2025)

MetaWatch: Trends, Challenges, and Future of Network Intrusion Detection in the Metaverse. - Ebuka Chinaechetam Nkoro; Judith Nkechinyere Njoku; Cosmas Ifeanyi Nwakanma; Jae Min Lee; Dong-Seong Kim 002 (IEEE Internet Things J., 2025)