News, Posts, and Activity History

News/Activity

Jul. 2025:

• Technical Editor: IEEE Network (Impact Factor: 6.3).

Jun. 2025:

• Paper accepted: IEEE Open Journal of the Computer Society [Q1, IF: 8.2], “BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market”.

May 2025:

• Paper accepted: IEEE VTC 2025-Fall, “Generalizable Deep Reinforcement Learning-Based Intelligent Handover in Indoor WiGig Networks”.

• Guest Editorial published: IEEE Internet of Things Journal [Q1, IF: 8.2], “Special Issue on Integration of Generative AI and Internet of Things”.

• Guest Editorial published: IEEE Internet of Things Magazine, “Internet of Things and Edge Computing Meet Green Challenges: Part 1”.

Apr. 2025:

• M.S. Thesis Defense:  My M.S. student “Shijon Das” defended his M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• M.S. Special Project Defense:  My M.S. student “Riley Stratton” defended his M.S. special project successfully at Idaho State University, ID, USA. Congratulations! 🎉

• Paper accepted: IETC 2025, “The Role of Artificial Intelligence in Transforming VLSI Design, Testing, and Manufacturing”.

• Paper accepted: IETC 2025, “Fake Image Detection Utilizing Transfer Learning-Based Vision Transformer”.

Mar. 2025:

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 8.2], “Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency”.

• Paper accepted: IEEE Open Journal of Vehicular Technology [Q1, IF: 5.3], “Semi-Blind Channel Estimation and Achievable Rate Analysis for Uplink RIS-Enhanced Multi-User Networks”.

• Paper accepted: IEEE VTC 2025-Spring, “Empirical Analysis of Statistical Variation in Channel Data of WiGig Networks towards 6G”.

• Paper accepted: ICHORA 2025, “Enhanced Environmental Awareness and Security for Smart Devices using WiFi-Sensing”.

• Paper accepted: ICHORA 2025, “EXAD: A Framework for Designing Explanations in Adaptive User Interfaces”.

Feb. 2025:

• Paper accepted: ICMI 2025, “Improving Early Alzheimer’s Detection with Machine Learning and Feature Engineering on Blood Plasma Proteomics”.

• Paper accepted: ICMI 2025, “GPU vs. CPU: A Comparative Study of Performance, Architecture, and NVIDIA's Innovations in Modern Computing”.

• Paper accepted: ICMI 2025, “A Comprehensive Review on Real-Time Vehicle and Pedestrian Detection Using YOLO”.

Jan. 2025:

• Paper accepted: IEEE Open Journal of the Communications Society [Q1, IF: 6.3], “Tight Approximation of Achievable Rates in RIS-Based Multi-User MIMO Systems under Channel Estimation Constraints”.

• Paper accepted: IEEE ICC 2025, “Towards Decentralized, Secure, and Efficient Adaptive Learning for Robust Healthcare Monitoring”.

• Paper accepted: IEEE ICC 2025, “REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks”.

• Paper accepted: IEEE ICC 2025, “Adaptive Resource Allocation in Emerging High-Mobility Networks Using Hybrid Deep Learning Models”.

• Paper accepted: IEEE SoutheastCon 2025, “Deep Learning-Based Physical Layer Authentication in LiFi Networks Under Multi-User Mobility”.

• Paper accepted: IEEE SoutheastCon 2025, “An Efficient and Zero-Trust Approach for Privacy-Preserving Healthcare Diagnostics”.

• Paper accepted: IEEE SoutheastCon 2025, “Emerging Trends in AI-Powered IoT: Innovations, Key Challenges, and Future Directions”.

• Paper accepted: SaTC 2025, “A Comprehensive Survey of Model Extraction Attacks: Current Trends, Defenses, and Future Directions”.

• Paper accepted: SaTC 2025, “Few-Shot Learning for CPS Anomaly Detection: A Survey on Smart Grid Applications”.

• Paper accepted: SaTC 2025, “Privacy-Preserving Secure Framework for Intelligent Transportation Systems”.

Dec. 2024:

• Paper accepted: IEEE Open Journal of the Communications Society [Q1, IF: 6.3], “Concept Drift Aware Wireless Key Generation in Dynamic LiFi Networks”.

• Paper accepted: Elsevier  Neurocomputing [Q1, IF: 5.5], “Navigating the Artificial Intelligence Revolution in Neuro-Oncology: A Multidisciplinary Viewpoint”.

• Paper accepted: ITNG 2025, “Security and Privacy for LLMs and LMMs Across Key Sectors: A Literature Survey”.

Nov. 2024:

• M.S. Thesis Defense:  My M.S. student “Barrett Durtschi” defended his M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• Most Cited Researchers: Listed among the top ten most cited researchers at Idaho State University. [URL]

• Paper accepted: IEEE Transactions on Geoscience and Remote Sensing [Q1, IF: 7.5], “Using Deep Learning for Rapid Earthquake Parameter Estimation in Single-Station Single-Component Earthquake Early Warning System”.

• Paper accepted: IEEE Open Journal of the Computer Society [Q1, IF: 5.7], “Revolutionizing User Authentication Exploiting Explainable AI and CTGAN-based Keystroke Dynamics”.

• Paper accepted: IEEE Access [Q2, IF: 3.4], “Optimizing Automotive MIMO Radar Detection with Regression Modeling-Based Correlation Test”.

• Paper accepted: IEEE VCC 2024, “Communication-aided Terahertz Sensing: A Novel Indoor People Counting System Via Deep Learning”.

• Paper accepted: IEEE VCC 2024, “Altering 5G Network Parameters using Deep Reinforcement Learning to Optimize QoS and Security”.

Oct. 2024:

• Paper accepted: IEEE Communications Surveys & Tutorials [Q1, IF: 34.4], “Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey”.

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 8.2], “Securing One-Class Federated Learning Classifiers Against Trojan Attacks in Smart Grid”.

• Paper accepted: IEEE Open Journal of the Communications Society [Q1, IF: 6.3], “Three Novel Statistical Tests-Inspired Spectrum Sensing Techniques for Cognitive Radio”.

• Paper accepted: Elsevier Computerized Medical Imaging and Graphics [Q1, IF: 5.4], “MultiNet 2.0: A Lightweight Attention-based Deep Learning Network for Stenosis Measurement in Carotid Ultrasound Scans and Cardiovascular Risk Assessment”.

• Paper accepted: IMR Press Reviews in Cardiovascular Medicine [Q3, IF: 1.9], “An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review”.

• Paper accepted: Egyptian International Journal of Engineering Sciences and Technology, “Architecting and Implementing Microservice-Based Applications”.

• Paper accepted: IEEE IoTaIS 2024, “Adaptive Game Design Using Machine Learning Techniques: A Survey”.

• Paper accepted: IEEE IoTaIS 2024, “AI-Driven Error Correction for KNN-Based RFID Localization”.

Sept. 2024:

• MDPI Healthcare 2022 Best Paper Award: “Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment”.

• Paper accepted: IEEE Open Journal of the Communications Society [Q1, IF: 6.3], “OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage”.

• Paper accepted: Egyptian Informatics Journal [Q1, IF: 5.0], “Machine Learning-Based Detection of DDoS Attacks on IoT Devices in Multi-Energy Systems”.

Aug. 2024:

• Paper accepted: Jordanian Journal of Computers and Information Technology [Q4, IF: 0.9], “Enhancing Diagnostic Accuracy with Ensemble Techniques: Detecting COVID-19 and Pneumonia on Chest X-Ray Images”.

• Paper accepted: AIBThings 2024, “Unraveling Model Inversion Attacks: A Survey of Machine Learning Vulnerabilities”.

• Paper accepted: AIBThings 2024, “A Survey on the Landscape of Machine Learning Solutions for Detecting Phishing Attacks”.

• Paper accepted: AIBThings 2024, “Alzheimer’s Disease Stage Classification using Blood Data”.

• Paper accepted: AIBThings 2024, “Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection”.

• Paper accepted: AIBThings 2024, “Drone Detection Countering Optical Evasion Strategies Using Deep Learning”.

• Paper accepted: AIBThings 2024, “Demand Response in Smart Grids: Challenges, Solutions, and Security Implications”.

• Paper accepted: AIBThings 2024, “Privacy Preservation Techniques in Smart Grids: Balancing Security and Utility in IoT-Driven Environments”.

• Paper accepted: AIBThings 2024, “Automated Phenotyping of Herbaceous Biomass Using U-NET Architecture for µ-CT Images Segmentation”.

• Paper accepted: AIBThings 2024, “A Lightweight AI Model for Anomaly Detection in Wireless Networks”.

• Paper accepted: AIBThings 2024, “Analyzing the Impact of Security Measures on Wi-Fi Quality of Service”.

• Paper accepted: AIBThings 2024, “Enhanced IoT Data Security with Robust AES-CBC Encryption Algorithm”.

Jul. 2024:

• New Position: Started a joint appointment with Idaho National Laboratory (INL).

• M.S. Thesis Defense:  My M.S. student “Antora Dev” defended her M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• M.S. Thesis Defense:  My M.S. student “Shaibal Das” defended his M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• Paper accepted: Springer Artificial Intelligence Review [Q1, IF: 10.7], “Blockchain, Artificial Intelligence, and Healthcare: The Tripod of Future–A Narrative Review”.

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 8.2], “A Lightweight Privacy-Preserving Load Forecasting and Monitoring Scheme Supporting Dynamic Billing for Smart Grids: No KDC Required”.

• Paper accepted: IEEE Open Journal of the Communications Society [Q1, IF: 6.3], “Placement Optimization and Power Management in a Multiuser Wireless Communication System with Reconfigurable Intelligent Surfaces”.

• Paper accepted: Taylor & Francis Applied Artificial Intelligence [Q2, IF: 2.9], “A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection”.

• Paper accepted: IEEE VTC 2024-Fall, “GAN-Assisted Secret Key Generation Against Eavesdropping In Dynamic Indoor LiFi Networks”.

• Paper accepted: IEEE VTC 2024-Fall, “Occupancy-level-aware Indoor Terahertz Channel Prediction: A Robust Deep Learning Approach”.

Jun. 2024:

• Paper accepted: IEEE Transactions on Vehicular Technology [Q1, IF: 6.1], “Communication-Efficient and Privacy-Preserving Federated Learning Via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks”.

• Paper accepted: Frontiers in Artificial Intelligence [Q2, IF: 3.0], “COVLIAS 3.0: Cloud-based Quantized Hybrid UNet3+ Deep Learning for COVID-19 Lesion Detection in Lung Computed Tomography”.

• Paper accepted: MDPI Remote Sensing [Q1, IF: 4.7], “Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning”.

• Paper accepted: Elsevier Ain Shams Engineering Journal [Q1, IF: 6.0], “Enhancing Earthquakes and Quarry Blasts Discrimination Using Machine Learning based on Three Seismic Parameters”.

• Paper accepted: Springer Electrical Engineering [Q3, IF: 1.6], “Deep Learning Approach for Cable Partial Discharge Pattern Identification”.

• Guest Editor: IEEE Internet of Things Magazine (IEEE IoT-M) Special Issue on “Internet of Things and Edge Computing Meet Green Challenges”, 2024. [URL]

May 2024:

• Paper accepted: The Lancet eClinicalMedicine [Q1, IF: 15.1], “Artificial Intelligence for Cardiovascular Disease Risk Assessment in Personalised Framework: A Scoping Review”.

• Paper accepted: IEEE Open Journal of Antennas and Propagation [IF: 4.0], “Beamforming of Transmit Antennas Using Grey Wolf Optimization and L2-norm for Performance Enhancement of Beyond 5G Communications”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Polyhedron Optimization for Power Allocation of Cell-Free based IRS System”.

• Paper accepted: Elsevier Heliyon [Q2, IF: 4.0], “Automated System for Classifying Uni-bicompartmental Knee Osteoarthritis by using Redefined Residual Learning with Convolutional Neural Network”.

• Paper accepted: ITC-Egypt 2024, “New Beamforming Approach Based EGWO for Beyond 5G Communication”.

Apr. 2024:

• M.S. Thesis Defense:  My M.S. student “Thomas Kopcho” defended his M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Advancing Malaria Identification from Microscopic Blood Smears Using Hybrid Deep Learning Frameworks”. 

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G Network”. 

• Paper accepted: Springer International Journal of Cardiovascular Imaging [Q3, IF: 2.1], “Deep learning Approach for Cardiovascular Disease Risk Stratification and Survival Analysis on a Canadian Cohort”.

• Paper accepted: ICET 2024, “Investigations and Characterization of a New FM Active Receiving Antenna for Modern Vehicles Applications”.

• Paper accepted: IEEE ORSS 2024, “Evaluating the Performance of Machine Learning-Based Classification Models for IoT Intrusion Detection”.

• Guest Editor: IEEE Internet of Things Journal (IEEE IoT-J) Special Issue on “Integration of Generative AI and Internet of Things”, [IF: 10.6], 2024. [URL]

• Guest Editor: IEEE Internet of Things Journal (IEEE IoT-J) Special Issue on “UAV Networks for Internet of Things”, [IF: 10.6], 2024. [URL]

Mar. 2024:

• Paper accepted: IMR Press Reviews in Cardiovascular Medicine [Q3, IF: 2.7], “UltraAIGenomics: Artificial Intelligence-based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review”.

• Paper accepted: Scientific Reports [Q2, IF: 4.6], “GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Species Classification of Stationary Patterns from Nucleotides”.

• Paper accepted: SmartNets 2024, “A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges”.

• Paper accepted: SmartNets 2024, “Optimizing Feature Panels for Effective Model Training Toward Early Diagnosis of Alzheimer's Disease”.

• Paper accepted: SmartNets 2024, “Deep Learning-Based Throughput Prediction in 5G Cellular Networks”.

• Paper accepted: SmartNets 2024, “Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach”.

• Paper accepted: SmartNets 2024, “Optimizing VNF Migration in B5G Core Networks: A Machine Learning Approach”.

• Paper accepted: SmartNets 2024, “Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks”.

• Paper accepted: SmartNets 2024, “Short-Term Load Forecasting Using GRU-LGBM Fusion”.

• Paper accepted: SmartNets 2024, “Short-Term Load Forecasting Employing Recurrent Neural Networks”.

• Paper accepted: SmartNets 2024, “Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection”.

Feb. 2024:

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 10.6], “Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems”.

• Paper accepted: IEEE Open Journal of the Communications Society [IF: 7.9], “Joint UAV Trajectory Planning and LEO-Sat Selection in SAGIN”.

• Paper accepted: ICMI 2024, “Optimized Neural Networks for Diabetes Classification Using Pima Indians Diabetes Database”. 

• Paper accepted: ICMI 2024, “Secure and Robust User Authentication Using Transfer Learning and CTGAN-based Keystroke Dynamics”.

• Paper accepted: ICMI 2024, “Data-Driven Model for Improving MEG Epileptic Spike Detection”.

• Paper accepted: ICMI 2024, “Protecting Privacy in IoMT-based Disease Diagnosis Using an Efficient Approach”.

Jan. 2024:

• Paper accepted: IEEE Network [Q1, IF: 9.3], “Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems”.

• Paper accepted: IEEE Open Journal of the Communications Society [IF: 7.9], “RIS-assisted Integrated Sensing and Communication Systems: Joint Reflection and Beamforming Design”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Underwater Target Detection using Deep Learning: Methodologies, Challenges, Applications and Future Evolution”.

• Paper accepted: Frontiers in Bioscience-Landmark [Q3, IF: 3.1], “aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli”.

• Paper accepted: IEEE ICC 2024, “Privacy-preserving, Lightweight, and Decentralized Load Forecasting in Smart Grid AMI Networks”.

• Paper accepted: IEEE ICC 2024, “Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks”.

Dec. 2023:

• Paper accepted: IEEE Communications Surveys & Tutorials [Q1, IF: 35.6], “A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges”.

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 10.6], “Joint Self-Organizing Maps and Knowledge-Distillation-Based Communication-Efficient Federated Learning for Resource-Constrained UAV-IoT Systems”.

Nov. 2023:

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models”.

• Paper accepted: MDPI Journal of Cardiovascular Development and Disease [Q3, IF: 2.4], “Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look”.

• Publicity Co-Cahir: WiMob 2024, Paris, France, Oct. 9–11, 2024.

Oct. 2023:

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Novel Evasion Attacks against Adversarial Training Defense for Smart Grid Federated Learning”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Efficient Compression of Fetal Phonocardiography Bio-Medical Signals for Internet of Healthcare Things”.

• Paper accepted: MDPI Sensors [Q2, IF: 3.9], “Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.6], “DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images”.

• Paper accepted: MDPI Energies [Q3, IF: 3.2], “Efficient One-Class False Data Detector Based on Deep SVDD for Smart Grids”.

• Paper accepted: Journal of Korean Medical Science [Q2, IF: 4.5], “Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review”.

• Paper accepted: IEEE CCNC 2024, “FedSafe-No KDC Needed: Decentralized Federated Learning With Enhanced Security and Efficiency”.

• Paper accepted: IEEE CCNC 2024, “A Distillation-based Attack Against Adversarial Training Defense for Smart Grid Federated Learning”.

• Paper accepted: IEEE CCNC 2024, “Robust Deep Learning-based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift”.

• Paper accepted: IEEE CCNC 2024, “Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach”.

• Paper accepted: IEEE CCNC 2024, “Secured Cluster-Based Electricity Theft Detectors Against Blackbox Evasion Attacks”.

• Paper accepted: IEEE CCNC 2024, “Electricity Theft Detection Approach Using One-Class Classification for AMI”.

• Paper accepted: IEEE VCC 2023, “Optimizing Reconfigurable Intelligent Surface-Assisted Integrated Sensing and Communication Systems”.

• Paper accepted: IEEE VCC 2023, “EMI Performance Analysis in IRS-aided Multi-user Wireless Communication Systems”.

• Guest Editorial published: IET Generation, Transmission & Distribution [Q3, IF: 2.5], “Emerging Applications of IoT and Cybersecurity for Electrical Power Systems”.

Sept. 2023:

• Paper accepted: IEEE Access [Q2, IF: 3.9], “A Spectrum Injection-Based Approach for Malware Prevention in UHF RFID Systems”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Countering Evasion Attacks for Smart Grid Reinforcement Learning-based Detectors”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Clustering and Ensemble Based Approach For Securing Electricity Theft Detectors Against Evasion Attacks”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Securing Images Using High Dimensional Chaotic Maps and DNA Encoding Techniques”.

• Paper accepted: Elsevier Internet of Things and Cyber-Physical Systems, “Managing Natural Disasters: An Analysis of Technological Advancements, Opportunities, and Challenges”.

• Paper accepted: IEEE VTC 2023-Fall, “Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift”.

• Paper accepted: MobiSecServ 2023, “Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks”.

• Paper accepted: IEEE IoTaIS 2023, “Advancements and Challenges in AI Applications for Movement Disorders”.

• Paper accepted: IEEE IoTaIS 2023, “Automated EEG Epileptic Seizure Detection Exploiting Continuous Morlet Wavelet Transform Scalograms and Hybrid Deep Learning Models”.

Aug. 2023:

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends”.

• Paper accepted: Frontiers in Bioscience-Landmark [Q3, IF: 3.1], “A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool”. 

• Paper accepted: IEEE GLOBECOM 2023, “Benchmarking the User-Centric Clustering and Pilot Assignment Problems in Cell-Free Networks”.

• Paper accepted: IEEE GLOBECOM 2023, “A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update”.

• Paper accepted: IEEE GLOBECOM 2023, “Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems”.

• Paper accepted: IEEE GLOBECOM 2023, “Moreau Envelopes-based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence”.

• Paper accepted: IEEE GLOBECOM 2023, “Mammogram Tumor Segmentation With Preserved Local Resolution: An Explainable AI System”.

Jul. 2023:

• Paper accepted: Elsevier Journal of Network and Computer Applications [Q1, IF: 8.7], “Enhanced Multi-Objective Gorilla Troops Optimizer for Real-Time Multi-User Dependent Tasks Offloading in Edge-cloud Computing”.

• Paper accepted: IEEE Transactions on Sustainable Computing [Q2, IF: 3.9], “Optimized Multi-User Dependent Tasks Offloading in Edge-Cloud Computing Using Refined Whale Optimization Algorithm”.

• Paper accepted: IEEE Access [Q2, IF: 3.9], “Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks with Vector Embedding”.

• Paper accepted: Springer Multimedia Tools and Applications [Q2, IF: 3.6], “Artificial Intelligence Bias in Medical System Designs: a Systematic Review”.

• Paper accepted: Springer Rheumatology International [Q2, IF: 4.0], “Artificial Intelligence-based Preventive, Personalized and Precision Medicine for Cardiovascular Disease/Stroke Risk Assessment in Rheumatoid Arthritis Patients: A Narrative Review".

• Paper accepted: ICoICT 2023, “On Improving Malaria Parasite Detection from Microscopic Images: A Comparative Analytics of Hybrid Deep Learning Models”.

• Paper accepted: ICoICT 2023, “Diagnosis of Lung Diseases from Chest X-Ray Images Using Different Fusion Techniques”.

• Paper accepted: ICoICT 2023, “Optimizing MEG-EEG Mapping in Resource-Constrained Non-Intrusive Bio-Magnetic Sensing Systems: A Data-Driven Approach”.

• Paper accepted: ICoICT 2023, “A Survey on Privacy Preservation Methods in Future Vehicular Networks”.

• Paper accepted: ICoICT 2023, “A Review of Privacy-preserving and Efficient Data Collection and Aggregation in Smart Grids”.

• Guest Editorial published: MDPI Energies [Q3, IF: 3.2], “Secure and Efficient Communication in Smart Grids”.

Jun. 2023:

• Paper accepted: International Journal of Intelligent Systems [Q1, IF: 8.993], “Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.992], “Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Multimedia Security Using Encryption: A Survey”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids”.

• Paper accepted: IEEE PIMRC 2023, “Communication-Efficient Federated Learning in Drone-Assisted IoT Networks: Path Planning and Enhanced Knowledge Distillation Techniques”.

• Paper accepted: IEEE PIMRC 2023, “On Enhancing WiGig Communications With A UAV-Mounted RIS System: A Contextual Multi-Armed Bandit Approach”.

• Paper accepted: IEEE PIMRC 2023, “PC-SSL: Peer-Coordinated Sequential Split Learning for Intelligent Traffic Analysis in mmWave 5G Networks”.

May 2023:

• ⭐ Promoted with Tenure: Promoted to the rank of Associate Professor with Tenure at Idaho State University, ID, USA.

• Editor: IEEE Internet of Things Journal (Impact Factor: 10.238).

• Paper accepted:  MDPI Diagnostics [Q2, IF: 3.992], “Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework”.

• Paper accepted:  Cardiovascular Diagnosis and Therapy [Q3, IF: 2.552], "Cardiovascular disease/stroke risk stratification in deep learning framework: a review”.

• Paper accepted:  ICCCI 2023, “Multi-armed Bandit-Aided Near-Optimal Over-The-Air Updates in Multi-Band V2X Systems”.

• Paper accepted:  IMSA 2023, “Best Height of UAV-Aided NOMA Using ML and Optimization Techniques”.

• Paper accepted:  IEEE ORSS 2023, “Spectrum-based Malware Detection for RFID Memory Banks in LF, HF, and UHF Bands”.

Apr. 2023:

• Paper accepted: IEEE MetaCom 2023, “Advanced Learning Schemes for Metaverse Applications in B5G/6G Networks”.

Mar. 2023:

• Paper accepted:  MDPI Diagnostics [Q2, IF: 3.992], “Simultaneous Super-Resolution and Classification of Lung Disease Scans”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Review of the Data-Driven Methods for Electricity Fraud Detection in Smart Metering Systems”. 

• Paper accepted:  CSNT 2023, “A Review of Privacy-Preserving Authentication Schemes for Future Internet of Vehicles”.

Feb. 2023:

• Best paper awarded: Ahmed Ashour (with Dr. Fouda as supervisor) received the Best Paper Award at the 2023 International Conference on Computer Science, Information Technology, and Engineering in Jakarta, Indonesia. Congratulations! 🎉

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Toward Secured IoT-Based Smart Systems Using Machine Learning”.

• Paper accepted: PLOS ONE [Q2, IF: 3.752], “A Hybrid CNN and Ensemble Model for COVID-19 Lung Infection Detection on Chest CT Scans”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Significance of Harmonic Filters by Computation of Short-Time Fourier Transform-Based Time–Frequency Representation of Supply Voltage”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Non-Dominated Sorting-Based Hybrid Optimization Technique for Multi-Objective Hydrothermal Scheduling”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “A Survey on Key Management and Authentication Approaches in Smart Metering Systems”.

• Paper accepted: Springer Neural Computing and Applications [Q2, IF: 5.102], “Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework”.

• Paper accepted:  CSNT 2023, “Security and Privacy Preservation for Future Vehicular Transportation Systems: A Survey”.

• Paper accepted:  ICCoSITE 2023, “AI-Based Approaches for Handover Optimization in 5G New Radio and 6G Wireless Networks”.

• Paper accepted:  ICCoSITE 2023, “AI-Aided Height Optimization for NOMA-UAV Networks”.

Jan. 2023:

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Load Forecasting Techniques and Their Applications in Smart Grids”.

• Paper accepted: IEEE ICC 2023, “Communication-efficient Privacy-Preserving Federated Learning via Knowledge Distillation for Human Activity Recognition Systems”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Optimization-Based Mitigation Techniques of the Temporary Overvoltage in Large Offshore Wind Farm”.

• Paper accepted: MDPI Applied Sciences [Q2, IF: 2.838], “A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “A New Method of Fault Localization for 500 kV Transmission Lines Based on FRFT-SVD and Curve Fitting”.

• Paper accepted:  ICCoSITE 2023, “RF Energy Harvesting Effectiveness in Relay-based D2D Communication”.

Dec. 2022:

• Award - Funded project: ($30K for 1-year), for the project "Effective Load and Generation Forecasts in Power Grids", supported by the ISU-CAES Internal Seed Grants, Center for Advanced Energy Studies (CAES), Idaho Falls, ID, USA. In collaboration with Idaho National Laboratory (INL), Idaho Falls, ID, USA. [News link]

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Energy Harvesting in Underwater Acoustic Wireless Sensor Networks: Design, Taxonomy, Applications, Challenges and Future Directions”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias”.

• Paper accepted: MDPI Drones [Q2, IF: 5.532], “Ergodic Performance Analysis of Double Intelligent Reflecting Surfaces-Aided NOMA–UAV Systems with Hardware Impairment”.

• Paper accepted: MDPI Healthcare [Q2, IF: 3.160], “Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.992], “Early Diagnosis of COVID-19 Images Using Optimal CNN Hyperparameters”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Employing Machine Learning and IoT for Earthquake Early Warning System in Smart Cities”.

Nov. 2022:

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.992], “Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity”.

• Paper accepted: IEEE Open Journal of the Communications Society, “Reliability of Spectrum-Efficient Mixed Satellite-Underwater Systems”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.992], “A Survey on AI Techniques for Thoracic Diseases Diagnosis Using Medical Images”.

• Paper accepted: MDPI Journal of Clinical Medicine [Q2, IF: 4.964], “Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-based Artificial Intelligence: An Investigative Study”.

• Sole Guest Editor: MDPI Applied Sciences [Q2, IF: 2.838] Special Issue on “Digital Image Security and Privacy Protection", accepting submissions.

Oct. 2022:

• Award - Funded project: ($150K for 2 years) through a Laboratory Directed Research & Development (LDRD) project supported by Idaho National Laboratory (INL), Idaho Falls, ID, USA.

• Paper accepted: IEEE Open Journal of the Communications Society, “Outage Analysis of Coordinated NOMA Transmission for LEO Satellite Constellations”.

• Paper accepted: Springer Journal of Ambient Intelligence and Humanized Computing [Q2, IF: 3.662], “Dual Objective Bandit for Best Channel Selection in Hybrid Band Wireless Systems”.

• Paper accepted: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [Q2, IF: 4.715], “Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate”

• Paper accepted: IEEE Access [Q2, IF: 3.476], “LSTM-Autoencoder Deep Learning Technique for PAPR Reduction in Visible Light Communication”. 

• Paper accepted:  IEEE Sensors Journal [Q2, IF: 4.325], “Applying Game Theory to Relay Resource Selection in Hybrid-Band Wireless Systems. 

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Data Privacy Preservation and Security in Smart Metering Systems”.

• Paper accepted:  BMVC 2022, “G2Net: Generic Game-Theoretic Network for Partial-Label Image Classification”.

• Lead Guest Editor: MDPI Cryptography Special Issue on “Applied Cryptography and Machine Learning for Security and Privacy Protection of Critical Infrastructures", accepting submissions.

Sept. 2022:

• Award - Funded project: ($225K for 3 years), for the project "Collaborative Research: NeTS: JUNO3: SWIFT: Softwarization of Intelligence for Efficient 6G Mobile Networks", supported by the National Science Foundation (NSF) – Japan-US Network Opportunity 3 (JUNO3). In collaboration with Tennessee Technological University, TN, USA, and Tohoku University, Sendai, Japan. [Award link][Award announcement][ISU News link][Local News 8 link]

• Paper accepted: MDPI Journal of Cardiovascular Development and Disease [Q2, IF: 4.415], “Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm”. 

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Privacy Protection in Surveillance Videos Using Block Scrambling-Based Encryption and DCNN-Based Face Detection”. 

• Paper accepted:  IEEE IoTaIS 2022, “RF Energy Harvesting Dependency for Power Optimized Two-Way Relaying D2D Communication”.

• Paper accepted:  IEEE IoTaIS 2022, “Machine Learning Benchmarking for Secured IoT Smart Systems”.

• Paper accepted:  IEEE IoTaIS 2022, “Efficient Wireless Network Slicing in 5G Networks: An Asynchronous Federated Learning Approach”.

• Paper accepted:  IEEE IoTaIS 2022, “Online Location-Based Detection of False Data Injection Attacks in Smart Grid Using Deep Learning”.

• Paper accepted:  IEEE IoTaIS 2022, “Toward Asynchronously Weight Updating Federated Learning for AI-On-Edge IoT Systems”.

• Paper accepted:  IEEE IoTaIS 2022, “An End-To-End Explainable AI System for Analyzing Breast Cancer Prediction Models”.

• Paper accepted:  IEEE IoTaIS 2022, “A Two-Step Machine Learning Model for Stage-Specific Disease Survivability Prediction”.

• Sole Guest Editor: MDPI Diagnostics [Q2, IF: 3.992] Special Issue on “AI-Based COVID-19 Detection", accepting submissions.

Aug. 2022:

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.992], “Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans”.

• Paper accepted: MDPI Applied Sciences [Q2, IF: 2.838], “Digital Watermarking System for Copyright Protection and Authentication of Images Using Cryptographic Techniques”. 

• Paper accepted: IEEE Access [Q2, IF: 3.476], “AI-Enabled UAV Communications: Challenges and Future Directions”. 

• Paper accepted: MDPI Cancers [Q1, IF: 6.639], “Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework”. 

• Paper accepted: MDPI Journal of Cardiovascular Development and Disease [Q2, IF: 4.415], “Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report”. 

• Paper accepted: IEEE GLOBECOM 2022, “Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector”.

• Paper accepted: IEEE GLOBECOM 2022, “Characterization of Secret Key Generation in 5G+ Indoor Mobile LiFi Networks”.

• Lead Guest Editor: MDPI Bioengineering [Q2, IF: 5.046] Special Issue on “Artificial Intelligence-Based Diagnostics and Biomedical Analytics", accepting submissions.

Jul. 2022:

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Cost-Effective MAB Approaches for Reconfigurable Intelligent Surface Aided Millimeter Wave Relaying”.

• Paper accepted: MDPI Energies [Q3, IF: 3.252], “Real-Time Locational Detection of Stealthy False Data Injection Attack in Smart Grid: Using Multivariate-Based Multi-Label Classification Approach”.

• Topical Advisory Panel Member: MDPI Cancers [Q1, IF: 6.575].

• Topical Advisory Panel Member: MDPI Drones [Q2, IF: 5.532].

• Topical Advisory Panel Member: MDPI Bioengineering [Q2, IF: 5.046].

• Topical Advisory Panel Member: MDPI Diagnostics [Q2, IF: 3.992].

• Topical Advisory Panel Member: MDPI Sensors [Q2, IF: 3.847].

• Topical Advisory Panel Member: MDPI Healthcare [Q2, IF: 3.160].

• Topical Advisory Panel Member: MDPI Applied Sciences [Q2, IF: 2.838].

• Topical Advisory Panel Member: MDPI Electronics [Q3, IF: 2.690].

• Topical Advisory Panel Member: MDPI Informatics.

• Topical Advisory Panel Member: MDPI Journal of Cybersecurity and Privacy.

Jun. 2022:

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Deep Learning-Based Fault Classification and Location for Underground Power Cable of Nuclear Facilities”.

• Paper accepted: IEEE Access [Q2, IF: 3.476], “Seismic Hazard and Site Suitability Evaluation Based on Multicriteria Decision Analysis”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.706], “Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.706], “COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans”.

• Paper accepted: MDPI Cancers [Q1, IF: 6.639], “Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine”.

• Paper accepted: IEEE Open Journal of the Communications Society, “Optimizing Packet Forwarding Performance in Multiband Relay Networks via Customized Reinforcement Learning".

May 2022:

• Ph.D. Dissertation Defense:  My Ph.D. student “Bushra Mughal” defended her Ph.D. dissertation successfully at Lakehead University, Canada. Congratulations! 🎉

• Student Recognition: My M.S. student, Biraj Shakya, is recognized as the "Outstanding Graduate Student" of the ECE department, Idaho State University, at the 2021-2022 Commencement Reception. Congratulations! 🎉

• Paper accepted: Elsevier ICT Express [Q1, IF: 4.317], “Utilization of Mobile Edge Computing on the Internet of Medical Things: A Survey”.

• Paper accepted: MDPI Electronics [Q3, IF: 2.397], “Cost-Aware Bandits for Efficient Channel Selection in Hybrid Band Networks”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.706], “COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.706], “Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review”.

• Paper accepted: MDPI Diagnostics [Q2, IF: 3.706], “Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/non-COVID-19 Frameworks using Artificial Intelligence Paradigm: A Narrative Review”.

• Two book chapters published: in “Towards a Wireless Connected World: Achievements and New Technologies”, ISBN: 978-3031043215, Springer Nature, Switzerland, 2022.

• Topical Advisory Panel Member: MDPI Energies [Q3, 3.004]

• Guest Editor: MDPI Electronics [Q3, IF: 2.397] Special Issue on “Online Learning Aided Solutions for 6G Wireless Networks", accepting submissions.

• Guest Editor: IET Generation Transmission & Distribution [Q2, IF: 2.995] Special Issue on “Emerging Applications of IoT and Cybersecurity for Electrical Power Systems", accepting submissions.

Apr. 2022:

• Award - Funded project: ($15K for 5-months), for the project "Developing Machine Learning Based Force Field for Predicting Radiation Resistance of High Entropy Alloys", supported by the CAES Collaboration Funds, Center for Advanced Energy Studies (CAES), Idaho Falls, ID, USA. In collaboration with Idaho National Laboratory, Idaho Falls, ID, USA. [News link 1, New link2]

• Paper accepted: IEEE Access [Q2, IF: 3.367], “An Efficient CNN Model to Detect Copy-Move Image Forgery”.

• Guest Editorial published: IEEE Wireless Communications [Q1, IF: 11.979],  “Smart, Optimal, and Explainable Orchestration of Network Slices in 5G and Beyond Networks”.

Mar. 2022:

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 9.471], “Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach”.

• Paper accepted: IEEE Transactions on Vehicular Technology [Q1, IF: 5.978], “Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach”.

Feb. 2022:

• M.S. Thesis Defense:  My M.S. student “Omnia Hashad” defended her M.S. thesis successfully at Benha University, Egypt. Congratulations! 🎉

•  Paper accepted: IEEE SoutheastCon 2022, “Privacy-Preserving Federated-Learning-Based Net-Energy Forecasting”.

Jan. 2022:

• Paper accepted: IEEE Network [Q1, IF: 10.693], “A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing With Forest-fire Detection Use-case”.

• Paper accepted: IEEE Network [Q1, IF: 10.693], “On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities”.

• Paper accepted:  Elsevier ICT Express [Q1, IF: 4.317], “Vehicles Communications Handover in 5G: A Survey”.

• Paper accepted: IEEE Access [Q2, IF: 3.367], “Machine Learning Algorithms for COPD Patients Readmission Prediction: A Data Analytics Approach”

• Paper accepted: IEEE ICC 2022, “A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks”

• Paper accepted: IEEE ICC 2022, “On Improving Automated Detection of Cyber-Bully in Social Networks with Constrained Datasets: A Hierarchical Deep Learning Approach”

• Paper accepted: IEEE ICC 2022, “MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health”

• Paper accepted: IEEE ICC 2022, “Performance of Hybrid Satellite-UAV NOMA Systems”

• Guest Editor: Frontiers in Communications and Networks Research Topic on “Using optimization and soft computing methodologies for security, integrity, enhancing the emerging technologies performance, and disaster management”, accepting submissions.

• Guest Editor: MDPI Electronics [Q2, IF: 2.397] Special Issue on “Advanced Applications of Sensor Network and Wireless Communication”, accepting submissions.

Dec. 2021:

• Award - Funded project: ($30K for 1-year), for the project "Smart Analytics of Biomass Images", supported by the ISU-CAES Internal Seed Grants, Center for Advanced Energy Studies (CAES), Idaho Falls, ID, USA. In collaboration with Idaho National Laboratory (INL), Idaho Falls, ID, USA. [News link 1, News link 2]

• Award - Funded project: ($5K for 1-year), for the project "Smart Reconstruction and Analytics of Biomedical Images", supported by the Internal Small Grant Program (ISGP), Idaho State University, ID, USA. [News link]

• Paper accepted: IEEE Sensors Letters, “Allocation Schemes for Relay Communications: A Multiband Multichannel Approach Using Game Theory”.

• Paper accepted: IEEE Access [Q2, IF: 3.367], “Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics” 

• Paper accepted: Elsevier Computer Networks [Q1, IF: 4.474], “A Lightweight Federated Learning Based Privacy Preserving B5G Pandemic Response Network Using Unmanned Aerial Vehicles: A Proof-of-Concept”.

Nov. 2021:

• M.S. Thesis Defense:  My M.S. student “Biraj Shakya” defended his M.S. thesis successfully at Idaho State University, ID, USA. Congratulations! 🎉

• Paper accepted:  MDPI Sensors [Q1, IF: 3.576], “Blind Watermarking of Color Medical Images using Hadamard Transform and Fractional Order Moments”.

Oct. 2021:

• Paper accepted:  IEEE Access [Q2, IF: 3.367], “LiHEA: Migrating EEG Analytics to Ultra-Edge IoT Devices with Logic-in-Headbands”.

• Paper accepted:  IEEE IoTaIS 2021, “On Energy-Efficient UAV Route Scheduling to Offload Health Data from Under-Served Rural Communities”.

• Paper accepted:  IEEE IoTaIS 2021, “An Explainable AI Model for Interpretable Lung Disease Classification”.

• Paper accepted:  IEEE IoTaIS 2021, “A Systematic Comparison of Traditional and Hybrid AI Models for NHANES Big Data Analytics”.

• Paper accepted:  IEEE IoTaIS 2021, “A Circuit-Embedded Reservoir Computer for Smart Noise Reduction of MCG Signals”.

Sept. 2021:

• Paper accepted: IEEE Transactions on Vehicular Technology [Q1, IF: 5.978], “Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing”.

• Paper accepted: IEEE Systems Journal [Q1, IF: 3.931], “Multidata-Owner Searchable Encryption Scheme Over Medical Cloud Data With Efficient Access Control”.

• Lead Guest Editor: MDPI Energies Special Issue on “Secure and Efficient Communication in Smart Grids”, [Q3, IF: 3.004], accepting submissions.

Aug. 2021:

• Paper accepted: IEEE GLOBECOM 2021, “Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication”.

Jul. 2021:

• Paper accepted: IEEE MeditCom 2021, “Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection”.

Jun. 2021:

• Paper accepted: IEEE Access [Q1, IF: 3.745], “New Color Image Zero-Watermarking Using Orthogonal Multi-Channel Fractional-Order Legendre-Fourier Moments”.

• Four book chapters published: in “Secure Edge Computing: Applications, Techniques and Challenges”, ISBN: 978-1003028635 , CRC Press, USA , 2021.

May 2021:

• Award - Funded project: ($7.5K for 6-month), for the project “Toward Privacy Preserving Machine Learning Prediction”, supported by the 2021 Idaho Cybersecurity Education Initiative (ICEI), Idaho State Board of Education,  ID, USA.

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 9.936], “Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning”.

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 9.936], “Detection of False-Reading Attacks in Smart Grid Net-Metering System”.

• Track Co-chair: IEEE 94th Vehicular Technology Conference: VTC2021-Fall, Green Communications and Networks Track.

Apr. 2021:

• Award - Funded project: ($17.1K for 6-month), for the "2021 CAES Summer Visiting Faculty Program", supported by Idaho National Laboratory, Idaho Falls, ID, USA.

• M.S. Thesis Defense:  My M.S. student “Sally Alaa El-Din Ali” defended her M.S. thesis successfully at Benha University, Egypt. Congratulations! 🎉

• Paper accepted: IEEE Transactions on Green Communications and Networking, “UV-CDS: On-Premises Energy-Efficient Scheduling of Ultraviolet-C Drone-based Sterilization to Combat COVID-19”.

Mar. 2021:

• Editor: IEEE Transactions on Vehicular Technology (Impact Factor: 5.379).

• Paper accepted: IEEE Access [Q1, IF: 3.745], “Robust Color Images Watermarking Using New Fractional-Order Exponent Moments”.

• Paper accepted: ISNCC 2021, “Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning”.

Feb. 2021:

• Award: 2021 CAES Summer Visiting Faculty Program (CSVFP). Hosted by Center for Advanced Energy Studies (CAES), Idaho Falls, ID, USA. In collaboration with Idaho National Laboratory, Idaho Falls, ID, USA.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “A New Image Encryption Algorithm for Grey and Color Medical Images”.

Jan. 2021:

• Guest Editor: IEEE Wireless Communications special issue on “Smart, Optimal, and Explainable Orchestration of Network Slices in 5G and Beyond Networks”.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach”.

• Paper accepted: IEEE ICC 2021, “On COVID-19 Prediction Using Asynchronous Federated Learning-Based Agile Radiograph Screening Booths”.

• Paper accepted: IEEE ICC 2021, “Noise-Removal from Spectrally-Similar Signals Using Reservoir Computing for MCG Monitoring”.

• Paper accepted: IEEE ICC 2021, “Wi-Fi Assisted Two-Hop Relay Probing in WiGig Device to Device Networks”.

Dec. 2020:

• Award - Funded project: ($5K for one-year), for the project "Smart Health Monitoring System Using Reservoir Computing and Spintronic Sensors", supported by the Internal Small Grant Program (ISGP), Idaho State University, ID, USA.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “Resources Allocation in Underlay Device-to-Device Communications Networks: A Reduced-Constraints Approach”.

• Paper accepted:  IEEE IoTaIS 2020, “A Rigorous Analysis of Biomedical Edge Computing: An Arrhythmia Classification Use-Case Leveraging Deep Learning”. 

Nov. 2020:

• Four book chapters accepted: in “Secure Edge Computing: Applications, Techniques and Challenges”, to be Published by CRC Press, 2021.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid”.

Oct. 2020:

• Guest Editorial published: IEEE Internet of Things Magazine (IEEE IoTM), “Smart IoT Solutions for Combating the COVID-19 Pandemic”. 

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 9.936], “An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach”.

Sept. 2020:

• Finalist: CAES Annual Pitch Event (CAPE): Baby Shark Tank virtual pitch competition hosted by Center for Advanced Energy Studies (CAES), Idaho Falls, ID, USA.

• M.S. Thesis Defense:  My M.S. student “Rhana Elshishtawy” defended her M.S. thesis successfully at Benha University, Egypt. Congratulations! 🎉

• Paper accepted: IEEE Internet of Things Journal [Q1, IF: 9.936], “Efficient Privacy-Preserving Electricity Theft Detection with Dynamic Billing and Load Monitoring for AMI Networks”.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning”.

Aug. 2020:

• ⭐ New faculty position: Assistant Professor at the Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Idaho Falls, ID, USA.

• Paper accepted: IEEE Network [Q1, IF: 8.808], “A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks”.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “Smart Parking System With Privacy Preservation and  Reputation Management Using Blockchain”.

• Paper accepted: IEEE Access [Q1, IF: 3.745], “DL-CRC: Deep Learning-based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach”.

Jun. 2020:

• Guest Editor: IEEE Internet of Things Magazine (IEEE IoTM) special issue on “Smart IoT Solutions for Combating COVID-19 Pandemic”.

May 2020:

• Three book chapters published: in “Combating Security Challenges in the Age of Big Data: Powered By State of the Art AI Techniques”, ISBN: 978-3030356415, CRC Press, USA , 2020.

• Paper accepted: AISI 2020, “Performance Analysis of Spectrum Sensing Thresholding Methods for Cognitive Radio Networks”.

Mar. 2020:

• Best poster (CIHR category) awarded: Sadman Sakib (with Dr. Fouda as co-supervisor) received the award at the research week event at Lakehead University, Canada.

• Paper accepted: IWCMC 2020, “Migrating Intelligence From Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case”.

• Paper accepted: ISNCC 2020, “PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks”.

Feb. 2020:

• Paper accepted: IEEE ICC 2020, “AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application”.

Dec. 2019:

• Paper accepted: IEEE ICIoT 2020, “Blockchain-based Authentication for 5G Networks”.

• Paper accepted: ICENCO 2020, “Implementation of Multi-Channel Energy Detection Spectrum Sensing Technique in Cognitive Radio Network Using LabVIEW on USRP-2942R”.

Oct. 2019:

• Paper accepted: JAC-ECC 2020, “Joint Resources Allocation of Device-to-Device Communications Underlaying Cellular Networks”.

Sep. 2019:

• Paper accepted: IEEE CCNC 2020, “Mimic Learning to Generate a Shareable Network Intrusion Detection Model”.

Jul. 2019:

• Associate Editor: IEEE Access (Impact Factor: 3.745).

Apr. 2019:

• ⭐ New position: Postdoctoral Research Associate at the Department of Electrical and Computer Engineering, Tennessee Technological University, Cookeville, TN, USA.