NextGen AI Research Lab

43 of 43 publications

Research Output

Conference2026

Modular LLM Framework for Personalized Educational Content Generation with Retrieval-Augmented Grounding and Multimodal Outputs

Presents a modular LLM framework for personalized educational content generation using retrieval-augmented grounding and multimodal outputs. In Proceedings of the AAAI-26 Artificial Intelligence for Education Workshop (AI4EDU), Springer LNCS. In press.

Authors: Jayaraman Srinivas, R. Phan, G. Campos, N. Chaudhary, R. Chataut

Paper
Journal2026

Large Language Models in Qualitative Analysis: Comparing Traditional and Researcher-Interpreted Approaches

Compares traditional and researcher-interpreted uses of large language models for qualitative analysis in International Journal of Qualitative Methods.

Authors: R. Misra, R. Dahal, B. Kirk, R. Khan, G. Dogan, R. Chataut, P. Gyawali

DOI
Conference2026

Designing Trustworthy Agentic RAG Systems through Modality-Separated Interaction and Error-Aware Memory

Explores trustworthy agentic RAG system design through modality-separated interaction and error-aware memory for the TRUST-CUA Workshop at ACM IUI 2026.

Authors: A. Sirandass, J. Rangu, Y. Usman, R. Chataut

Paper
Journal2025

AI, ML, and LLM Integration in 5G/6G Networks: A Comprehensive Survey of Architectures, Challenges, and Future Directions

Surveys AI, ML, and LLM integration across 5G and 6G network architectures, challenges, and future research directions in IEEE Access.

Authors: Y. Usman, H. Oladipupo, A. D. During, R. Akl, R. Chataut

DOI
Journal2025

Green Cybersecurity: Leveraging AI, ML, and LLMs to Optimize Energy, Threat Detection, and Sustainability Frameworks

Examines how AI, ML, and LLMs can support energy-efficient cybersecurity, threat detection, and sustainability frameworks in IEEE Access.

Authors: Y. Usman, C. J. Ihejirika, S. N. Offor, R. Akl, R. Chataut

DOI
Conference2025

Project Pulse: Enhancing Peer Evaluation and Team Accountability in Senior Design Projects

Introduces Project Pulse as a peer evaluation and team accountability approach for senior design project courses.

Authors: B. Wei, R. Chataut, L. Deng

DOI
Journal2025

AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs

Presents AutoTA, an intent-based virtual teaching assistant built with open source LLMs for student support in IEEE Access.

Authors: R. Dahal, G. Murray, R. Chataut, M. Hefeida, A. K. Srivastava, P. K. Gyawali

DOI
Conference2025

Deep Reinforcement Learning for Adaptive Beamforming in 6G Massive MIMO Systems Using DeepMIMO

Applies deep reinforcement learning to adaptive beamforming in 6G massive MIMO systems using DeepMIMO.

Authors: Y. Usman, C. A. Muriuki-Mureithi, D. Vitashkevich, R. Akl, R. Chataut

DOI
Conference2025

PhishProof: AI-Driven Phishing Detection with Optimized Feature Selection for Scalable Security

Presents an AI-driven phishing detection system with optimized feature selection for scalable security. Won Best Presentation Award.

Authors: Y. Usman, B. Girardi, R. Akl, P. K. Gyawali, R. Chataut

DOI
Conference2025

AI-Enhanced Deep Neural Network Architecture for Accurate Channel Estimation in 6G Networks

Develops an AI-enhanced deep neural network architecture for accurate channel estimation in 6G networks.

Authors: Y. Usman, D. Vitashkevich, C. A. Muriuki-Mureithi, R. Akl, R. Chataut

DOI
Conference2024

Spam No More: A Cross-Model Analysis of Machine Learning Techniques and Large Language Model Efficacies

Compares machine learning and large language model approaches for spam detection across models and evaluation settings.

Authors: R. Chataut, A. Upadhyay, Y. Usman, M. Nankya, P. K. Gyawali

DOI
Journal2024

Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques

Reviews AI and machine learning techniques for improving security and privacy in e-health systems in IEEE Access.

Authors: M. Nankya, A. Mugisa, Y. Usman, A. Upadhyay, R. Chataut

DOI
Conference2024

Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models

Introduces a phishing detection dataset and evaluates machine learning and LLM-based detection approaches. Won Best Presentation Award.

Authors: R. Chataut, Y. Usman, C. M. A. Rahman, S. Gyawali, P. K. Gyawali

DOI
Conference2024

The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems

Analyzes how large language models can be misused for cyber attacks on vehicle systems. Won Best Presentation Award.

Authors: Y. Usman, P. K. Gyawali, S. Gyawali, R. Chataut

DOI
Conference2024

Unveiling Cyber Threats: A Comprehensive Analysis of Connecticut Data Breaches

Provides a comprehensive analysis of Connecticut data breaches and their implications for cyber threat awareness.

Authors: R. Chataut, Y. Usman, F. Scholl

DOI
Journal2024

An Adaptive User Scheduling Algorithm for 6G Massive MIMO Systems

Presents an adaptive user scheduling algorithm for 6G massive MIMO systems. Invited Journal paper.

Authors: R. Chataut, R. Akl

DOI
Conference2024

Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection

Studies the effectiveness of large language models for phishing detection and AI-assisted cyber safety.

Authors: R. Chataut, P. K. Gyawali, Y. Usman

DOI
Journal2024

6G Networks and the AI Revolution: Exploring Technologies, Applications, and Emerging Challenges

Reviews 6G network technologies, AI-enabled applications, and emerging research challenges in Sensors.

Authors: R. Chataut, M. Nankya, R. Akl

DOI
Journal2023

Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies

Reviews industrial control system components, cyber threats, and machine learning-driven defense strategies. Invited Journal paper.

Authors: M. Nankya, R. Chataut, R. Akl

DOI
Journal2023

Privacy in Computer Ethics: Navigating the Digital Age

Discusses privacy in computer ethics and the challenges of protecting users in the digital age.

Authors: M. Zostant, R. Chataut

DOI
Journal2023

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Reviews IoT applications and future prospects across healthcare, agriculture, smart homes, smart cities, and Industry 4.0.

Authors: R. Chataut, A. Phoummalayvane, R. Akl

DOI
Conference2023

An Adaptive User Scheduling Algorithm for 6G Massive MIMO Systems

Presents an adaptive user scheduling algorithm for 6G massive MIMO systems. Won Best Paper Award.

Authors: R. Chataut, R. Akl, U. K. Dey

DOI
Conference2022

Performance Improvement in Cellular V2X (CV2X) by Using Massive MIMO Jacobi Detector

Improves cellular V2X performance using a massive MIMO Jacobi detector for vehicular communication.

Authors: U. K. Dey, R. Akl, R. Chataut

DOI
Conference2022

Massive MIMO Uplink Signal Detector for 5G and Beyond Networks

Develops a massive MIMO uplink signal detector for 5G and beyond wireless networks.

Authors: R. Chataut, R. Akl, U. K. Dey

DOI
Conference2022

Throughput Improvement in Vehicular Communication by Using Low Density Parity Check (LDPC) Code

Uses LDPC coding to improve throughput in vehicular communication systems.

Authors: U. K. Dey, R. Akl, R. Chataut

DOI
Conference2022

Performance Improvement in Cellular V2X (CV2X) by Using Low Density Parity Check (LDPC) Code

Applies LDPC coding to improve cellular V2X performance in vehicular communication.

Authors: U. K. Dey, R. Akl, R. Chataut

DOI
Conference2022

Adaptive Millimeter-Wave Channel Estimation and Tracking

Presents adaptive millimeter-wave channel estimation and tracking methods for advanced communication systems.

Authors: M. Robaei, R. Akl, R. Chataut, U. K. Dey

DOI
Conference2021

An Efficient and Fast-Convergent Detector for 5G and Beyond Massive MIMO Systems

Introduces an efficient fast-convergent detector for 5G and beyond massive MIMO systems.

Authors: R. Chataut, R. Akl, U. K. Dey

DOI
Journal2021

SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and Beyond Massive MIMO Networks

Presents SSOR preconditioned Gauss-Seidel detection and hardware architecture for massive MIMO networks in Electronics.

Authors: R. Chataut, R. Akl, U. K. Dey, M. Robaei

DOI
Conference2021

Selective MIMO in Vehicular Communication for Reliable Safety Services and High Speed Non-Safety Services

Studies selective MIMO techniques for reliable safety services and high-speed non-safety services in vehicular communication.

Authors: U. K. Dey, R. Akl, R. Chataut, M. Robaei

DOI
Journal2020

Massive MIMO Systems for 5G and Beyond Networks: Overview, Recent Trends, Challenges, and Future Research Direction

Provides a comprehensive overview of massive MIMO systems for 5G and beyond networks in Sensors.

Authors: R. Chataut, R. Akl

DOI
Chapter2020

Massive MIMO Systems for 5G

Encyclopedia entry summarizing massive MIMO systems and their role in 5G wireless networks.

Authors: R. Chataut, R. Akl

Conference2020

Efficient and Low-Complexity Iterative Detectors for 5G Massive MIMO Systems

Presents efficient low-complexity iterative detectors for 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Conference2020

An Efficient and Fair Scheduling for Downlink 5G Massive MIMO Systems

Develops an efficient and fair scheduling method for downlink 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Conference2020

Accelerated and Preconditioned Refinement of Gauss-Seidel Method for Uplink Signal Detection in 5G Massive MIMO Systems

Improves Gauss-Seidel-based uplink signal detection for 5G massive MIMO systems through acceleration and preconditioning.

Authors: R. Chataut, R. Akl, M. Robaei

DOI
Conference2020

High Throughput Vehicular Communication Using Spatial Multiplexing MIMO

Uses spatial multiplexing MIMO to support high-throughput vehicular communication.

Authors: U. K. Dey, R. Akl, R. Chataut

DOI
Conference2020

Modified PHY Layer for High Performance V2X Communication Using 5G NR

Proposes a modified PHY layer for high-performance V2X communication using 5G NR.

Authors: U. K. Dey, R. Akl, R. Chataut, M. Robaei

DOI
Conference2019

Channel Gain Based User Scheduling for 5G Massive MIMO Systems

Presents channel-gain-based user scheduling for 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Conference2019

Least Square Regressor Selection Based Detection for Uplink 5G Massive MIMO Systems

Applies least square regressor selection for uplink detection in 5G massive MIMO systems.

Authors: R. Chataut, R. Akl, U. K. Dey

DOI
Conference2018

Huber Fitting Based ADMM Detection for Uplink 5G Massive MIMO Systems

Uses Huber fitting and ADMM for uplink detection in 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Conference2018

Efficient and Low Complex Uplink Detection for 5G Massive MIMO Systems

Presents efficient low-complexity uplink detection for 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Conference2018

Optimal Pilot Reuse Factor Based on User Environment in 5G Massive MIMO

Studies optimal pilot reuse factor selection based on user environment in 5G massive MIMO systems.

Authors: R. Chataut, R. Akl

DOI
Chapter2025

Introduction to Deepfake Technology and Its Early Foundations

Book chapter introducing deepfake technology and its early foundations in Deepfakes and Their Impact on Business.

Authors: R. Chataut, A. Upadhyay

DOI