Question 1

Year 2026

Accepted Answer

Blockchain and homomorphic-based data aggregation for load monitoring and billing in smart gridsNaeem, N., Khan, F., Tahir, S., Makhdoom, I., Tariq, M., & Shah, S. A. (2026). Blockchain and homomorphic-based data aggregation for load monitoring and billing in smart grids. International Journal of Information Security, 25(3), 82.​Securing vehicle-to-digital twin communications in the internet of vehiclesSiddiqi, S. J., Alobaidi, A. H., Jan, M. A., & Tariq, M. (2026). Securing vehicle-to-digital twin communications in the internet of vehicles. ACM Transactions on Multimedia Computing, Communications and Applications, 22(1), 1-19.​Explainable artificial intelligence for epileptic neonatal electroencephalography classificationKhan, F. A., Umar, Z., Wahab, M., Mumtaz, A., Riaz, S., & Tariq, M. (2026). Explainable artificial intelligence for epileptic neonatal electroencephalography classification. In Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare (pp. 213-242). Academic Press.Cognitive Edge Intelligence for Cooperative Driving Safety: A Digital Shadow Framework in Industry 5.0Saleh, S., Jolfaei, A., & Tariq, M. (2026). Cognitive edge intelligence for cooperative driving safety: A digital shadow framework in Industry 5.0. IEEE Transactions on Vehicular Technology. (Accepted for publication).Transportation-Computing-Grid Integrated Resource Scheduling Based on Hierarchical Hybrid Quantum Reinforcement LearningZhou, X., et al. (2026). Transportation-computing-grid integrated resource scheduling based on hierarchical hybrid quantum reinforcement learning. IEEE Transactions on Intelligent Transportation Systems. (Accepted for publication).Service Delay Deviation-Aware Vehicle-Road Cooperative Control for Communication-Transportation-Power Integrated Complex SystemLiao, X., et al. (2026). Service delay deviation-aware vehicle-road cooperative control for communication-transportation-power integrated complex system. IEEE Transactions on Vehicular Technology. (Accepted for publication).Stealth in Sight: Model-Free Assessment of LiDAR Vulnerabilities in Autonomous Vehicle SystemsTahir, B., & Tariq, M. (2026). Stealth in sight: Model-free assessment of LiDAR vulnerabilities in autonomous vehicle systems. In Proceedings of the IEEE International Conference on Communications (ICC Workshops) (pp. 1–6). Glasgow, United Kingdom.

Question 2

Year 2025

Accepted Answer

A Federated Blockchain Security for MEC-Enabled IoT Networks in Industrial 5.0Gyamfi, E., Ansere, J. A., Kamal, M., Jan, M. A., Song, H., & Tariq, M. (2025). A federated blockchain security for MEC-enabled IoT networks in industrial 5.0. IEEE Transactions on Network Science and Engineering, 13, 5312-5323.​Generative AI Powered Shadow-Resilient Real-Time Pothole Detection in Autonomous VehiclesSaleh, S., & Tariq, M. (2025). Generative AI powered shadow-resilient real-time pothole detection in autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems.​From classical to intelligent control: Evolving trends in robotic manipulator technologyWaseem, S., Adnan, M., Iqbal, M. S., Amin, A. A., Shah, A., & Tariq, M. (2025). From classical to intelligent control: Evolving trends in robotic manipulator technology. Computers and Electrical Engineering, 127, 110559.​Digital Twins Driven Intelligent Reflecting Surfaces for 6G Enabled Intelligent Transportation SystemsAhmad, S., Alghamdi, S. M., Jan, M. A., & Tariq, M. (2025). Digital twins driven intelligent reflecting surfaces for 6G enabled intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems.​Expert and intelligent systems for assessment and mitigation of cascading failures in smart grids: Research challenges and surveyHayat, F., Adnan, M., Iqbal, M. S., Mohamed, S. E. G., & Tariq, M. (2025). Expert and intelligent systems for assessment and mitigation of cascading failures in smart grids: Research challenges and survey. Results in Engineering, 107148.​Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy systemLiao, H., Zhang, H., Che, W., Li, Z., Zhou, W., Zhou, Z., & Tariq, M. (2025). Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy system. Journal of Energy Storage, 127, 116881.​Spatio-Temporal EV Task Offloading, Energy, and Traffic Management for 6G Communication-Power-Transportation Coupling NetworkPan, C., Li, Z., Ci, H., Liao, H., Zhou, Z., Al-Dulaimi, A., & Tariq, M. (2025). Spatio-temporal EV task offloading, energy, and traffic management for 6G communication-power-transportation coupling network. IEEE Transactions on Intelligent Transportation Systems.​Securing the Future Smart Grid 3.0 through Leveraging the Models of Blockchain, Digital Twin, Edge Computing and Metaverse SynergiesShah, A., Ahmad, A., Adnan, M., Alnumay, W., Tariq, M., & Yuen, C. (2025). Securing the future smart grid 3.0 through leveraging the models of blockchain, digital twin, edge computing and metaverse synergies. Authorea, 2025(0701).​Explainable AI for epileptic seizure detection in Internet of Medical ThingsKhan, F. A., Umar, Z., Jolfaei, A., & Tariq, M. (2025). Explainable AI for epileptic seizure detection in Internet of Medical Things. Digital Communications and Networks, 11(3), 587-593.​Digital twin and TD3-Enabled optimization of xEV energy management in Vehicle-to-Grid NetworksSaba, I., Alobaidi, A. H., Alghamdi, S., & Tariq, M. (2025). Digital twin and TD3-enabled optimization of xEV energy management in vehicle-to-grid networks. IEEE Access.​Fuzzy Learning-based Wireless Resource Scheduling for Distribution Grid: An Information-Energy Flow Integration PerspectiveLiao, H., Ci, H., Zhou, W., Zhou, Z., Wang, X., & Tariq, M. (2025). Fuzzy learning-based wireless resource scheduling for distribution grid: An information-energy flow integration perspective. 2025 International Wireless Communications and Mobile Computing (IWCMC), 1484-1488.​Modeling the future: Mathematical insights for smart grid 3.0Adnan, M., Iqbal, M. S., Siddiqi, S. J., Ahmed, I., Shah, A., Ullah, I., & Tariq, M. (2025). Modeling the future: Mathematical insights for smart grid 3.0. Computers and Electrical Engineering, 123, 110283.​​​​​Securing the vetaverse: Web 3.0 for decentralized digital twin-enhanced vehicle–road safetySiddiqi, S. J., Saleh, S., Jan, M. A., & Tariq, M. (2025). Securing the vetaverse: Web 3.0 for decentralized digital twin-enhanced vehicle–road safety. Future Generation Computer Systems, 164, 107555.​Intelligent Reflective Surfaces Assisted Vehicular Networks: A Computer Vision-Based FrameworkAhmad, S., Naeem, F., & Tariq, M. (2025). Intelligent Reflective Surfaces Assisted Vehicular Networks: A Computer Vision-Based Framework. IEEE Transactions on Intelligent Transportation Systems.​Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy systemLiao, H., Zhang, H., Che, W., Li, Z., Zhou, W., Zhou, Z., & Tariq, M. (2025). Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy system. Journal of Energy Storage, 127, 116881.​Modeling the future: Mathematical insights for smart grid 3.0Adnan, M., Iqbal, M. S., Siddiqi, S. J., Ahmed, I., Shah, A., Ullah, I., & Tariq, M. (2025). Modeling the future: Mathematical insights for smart grid 3.0. Computers and Electrical Engineering, 123, 110283.​Securing the vetaverse: Web 3.0 for decentralized Digital Twin-enhanced vehicle–road safetySiddiqi, S. J., Saleh, S., Jan, M. A., & Tariq, M. (2025). Securing the vetaverse: Web 3.0 for decentralized Digital Twin-enhanced vehicle–road safety. Future Generation Computer Systems, 164, 107555.​Real-Time Pothole Detection With Edge Intelligence and Digital Twin in Internet of VehiclesSaleh, S., Jolfaei, A., & Tariq, M. (2025). Real-Time Pothole Detection With Edge Intelligence and Digital Twin in Internet of Vehicles. IEEE Internet of Things Journal.,vol. 12, no. 5, pp. 4852–4859, 2025.​

Question 3

Year 2024

Accepted Answer

Federated learning for Supply Chain Management 5.0Tahir, B., & Tariq, M. (2024). Federated learning for Supply Chain Management 5.0.​A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniquesIqbal, M. S., Adnan, M., Mohamed, S. E. G., & Tariq, M. (2024). A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques. Results in Engineering, 24, 103560.​Exploring the convergence of Metaverse, Blockchain, Artificial Intelligence, and digital twin for pioneering the digitization in the envision smart grid 3.0Adnan, M., Ahmed, I., Iqbal, S., Fazal, M. R., Siddiqi, S. J., & Tariq, M. (2024). Exploring the convergence of Metaverse, Blockchain, Artificial Intelligence, and digital twin for pioneering the digitization in the envision smart grid 3.0. Computers and Electrical Engineering, 120, 109709.​Deep Learning Aided Intelligent Reflective Surfaces for 6G: A SurveyTariq, M., Ahmad, S., Ahmad Jan, M., & Song, H. (2024). Deep Learning Aided Intelligent Reflective Surfaces for 6G: A Survey. ACM Computing Surveys, 57(3), 1-37.​Transfer Learning-Driven Electricity Theft Detection in Small Sample CasesLiao, W., Zhu, R., Takiddin, A., Tariq, M., Ruan, G., Cui, X., & Yang, Z. (2024). Transfer Learning-Driven Electricity Theft Detection in Small Sample Cases. IEEE Transactions on Instrumentation and Measurement.​Explainable AI for epileptic seizure detection in Internet of Medical ThingsKhan, F. A., Umar, Z., Jolfaei, A., & Tariq, M. (2024). Explainable AI for epileptic seizure detection in Internet of Medical Things. Digital Communications and Networks.​Explainable fuzzy deep learning for prediction of epileptic seizures using EEGKhan, F. A., Umar, Z., Jolfaei, A., & Tariq, M. (2024). Explainable fuzzy deep learning for prediction of epileptic seizures using EEG. IEEE Transactions on Fuzzy Systems.​Dynamic resource allocation in IoT enhanced by digital twins and intelligent reflecting surfacesTariq, M., Ahmad, S., & Poor, H. V. (2024). Dynamic resource allocation in IoT enhanced by digital twins and intelligent reflecting surfaces. IEEE Internet of Things Journal.​Multichain-assisted lightweight security for code mutated false data injection attacks in connected autonomous vehiclesSiddiqi, S. J., Tahir, B., Jan, M. A., & Tariq, M. (2024). Multichain-assisted lightweight security for code mutated false data injection attacks in connected autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems.​Securing Vehicle-to-Digital Twin Communications in the Internet of VehiclesJabeen Siddiqi, S., Alobaidi, A. H., Ahmad Jan, M., & Tariq, M. (2024). Securing Vehicle-to-Digital Twin Communications in the Internet of Vehicles. ACM Transactions on Multimedia Computing, Communications and Applications.​Sample adaptive transfer for electricity theft detection with distribution shiftsLiao, W., Takiddin, A., Tariq, M., Chen, S., Ge, L., & Yang, Z. (2024). Sample adaptive transfer for electricity theft detection with distribution shifts. IEEE Transactions on Power Systems.​Advancing electric vehicle battery analysis with digital twins in intelligent transportation systemsSaba, I., Ullah, M., & Tariq, M. (2024). Advancing electric vehicle battery analysis with digital twins in intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems.​Integration of 6 G Signal Processing, Communication, and Computing Based on Information Timeliness-Aware Digital TwinLiao, H., Lu, J., Shu, Y., Zhou, Z., Tariq, M., & Mumtaz, S. (2024). Integration of 6G signal processing, communication, and computing based on information timeliness-aware digital twin. IEEE Journal of Selected Topics in Signal Processing, 18(1), 98-108.​Smart Grid 3.0: Navigating the Future-Unleashing the Power of Metaverse, Blockchain, and Digital Twins in the Evolution of Smart GridsAdnan, M. (2024). Smart grid 3.0: Navigating the future-unleashing the power of metaverse, blockchain, and digital twins in the evolution of smart grids. Blockchain, and Digital Twins in the Evolution of Smart Grids (January 20, 2024).

Question 4

Year 2023

Accepted Answer

Blockchain-Enabled Secure Distributed Event Logging in the Industrial Internet of ThingsKamal, M., Tariq, M., Jan, M. A., & Song, H. H. (2023). Blockchain-Enabled Secure Distributed Event Logging in the Industrial Internet of Things. IEEE Internet of Things Journal, 11(15), 25464-25470.​​Reconfigurable intelligent surfaces assisted 6G communications for Internet of EverythingAhmad, S., Tariq, M., Jan, M. A., & Song, H. (2023). Reconfigurable intelligent surfaces assisted 6G communications for Internet of Everything. IEEE Internet of Things Journal, 11(18), 29287-29294.​Secure and enhanced online recommendations: A federated intelligence approachTariq, M., Tahir, B., & Zhou, Z. (2023). Secure and enhanced online recommendations: A federated intelligence approach. IEEE Transactions on Consumer Electronics, 70(1), 2500-2507.​Secure teleoperated vehicles in augmented reality of things: A multichain and digital twin approachSiddiqi, S. J., Jan, M. A., Basalamah, A. M., & Tariq, M. (2023). Secure teleoperated vehicles in augmented reality of things: A multichain and digital twin approach. IEEE Transactions on Consumer Electronics, 70(1), 956-965.​Attack-detection and multi-clock source cooperation-based accurate time synchronization for PLC-AIoT in smart parksDu, Z., Zhang, S., Yao, Z., Zhou, Z., & Tariq, M. (2023). Attack-detection and multi-clock source cooperation-based accurate time synchronization for PLC-AIoT in smart parks. Digital Communications and Networks.​Resource allocation for IRS-assisted networks: A deep reinforcement learning approachAhmad, S., Khan, S., Khan, K. S., Naeem, F., & Tariq, M. (2023). Resource allocation for IRS-assisted networks: A deep reinforcement learning approach. IEEE Communications Standards Magazine, 7(3), 48-55.​Ultra-low AoI digital twin-assisted resource allocation for multi-mode power IoT in distribution grid energy managementLiao, H., Zhou, Z., Jia, Z., Shu, Y., Tariq, M., Rodriguez, J., & Frascolla, V. (2023). Ultra-low AoI digital twin-assisted resource allocation for multi-mode power IoT in distribution grid energy management. IEEE Journal on Selected Areas in Communications, 41(10), 3122-3132.​A smart digital twin enabled security framework for vehicle-to-grid cyber-physical systemsAli, M., Kaddoum, G., Li, W. T., Yuen, C., Tariq, M., & Poor, H. V. (2023). A smart digital twin enabled security framework for vehicle-to-grid cyber-physical systems. IEEE Transactions on Information Forensics and Security, 18, 5258-5271.​Threats, Vulnerabilities, and Mitigation in V2G NetworksSaba, I., Bukhari, M., Ullah, M., & Tariq, M. (2023). Threats, Vulnerabilities, and Mitigation in V2G Networks. In Planning and Operation of Electric Vehicles in Smart Grids (pp. 1-30). Cham: Springer Nature Switzerland.​Deep reinforcement learning based state of charge estimation and management of electric vehicle batteriesSaba, I., Tariq, M., Ullah, M., & Poor, H. V. (2023). Deep reinforcement learning based state of charge estimation and management of electric vehicle batteries. IET Smart Grid, 6(4), 422-431.​​Integrated sensing, communication, and computing for self-powered UAV-assisted corona detection in high-voltage substationsShu, Y., Liao, H., Yao, Z., Zhou, Z., Wang, X., & Tariq, M. (2023). Integrated sensing, communication, and computing for self-powered UAV-assisted corona detection in high-voltage substations. IEEE Sensors Journal, 23(18), 20874-20881.​​A robust tracking system for COVID-19 like pandemic using advanced hybrid technologiesNisar, S., Zuhaib, M. A., Ulasyar, A., & Tariq, M. (2023). A robust tracking system for COVID-19 like pandemic using advanced hybrid technologies. Computing, 105(4), 871-885.​​Integration of data driven technologies in smart grids for resilient and sustainable smart cities: A comprehensive reviewAli, M., Naeem, F., Adam, N., Kaddoum, G., Adnan, M., & Tariq, M. (2023). Integration of data driven technologies in smart grids for resilient and sustainable smart cities: A comprehensive review. arXiv preprint arXiv:2301.08814.​​A Novel Experience-Driven and Federated Intelligent Threat-Defense Framework in IoMTTahir, B., Jolfaei, A., & Tariq, M. (2023). A novel experience-driven and federated intelligent threat-defense framework in IoMT. IEEE Journal of Biomedical and Health Informatics.

Question 5

Year 2022

Accepted Answer

Vulnerability assessment and federated intrusion detection of Air Taxi enabled smart citiesTahir, B., & Tariq, M. (2022). Vulnerability assessment and federated intrusion detection of Air Taxi enabled smart cities. Sustainable Energy Technologies and Assessments, 53, 102686.​​Minimizing viral transmission in COVID-19 like pandemics: Technologies, challenges, and opportunitiesNisar, S., Wakeel, A., Tahir, W., & Tariq, M. (2022). Minimizing viral transmission in COVID-19 like pandemics: Technologies, challenges, and opportunities. IEEE Sensors Journal, 23(2), 922-932.​​An adaptive network security system for iot-enabled maritime transportationGyamfi, E., Ansere, J. A., Kamal, M., Tariq, M., & Jurcut, A. (2022). An adaptive network security system for iot-enabled maritime transportation. IEEE transactions on intelligent transportation systems, 24(2), 2538-2547.​​Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive SurveyAli, M., Naeem, F., Tariq, M., & Kaddoum, G. (2022). Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey. IEEE journal of biomedical and health informatics, 27(2), 778-789.​​Asynchronous federated deep reinforcement learning-based URLLC-aware computation offloading in space-assisted vehicular networksPan, C., Wang, Z., Liao, H., Zhou, Z., Wang, X., Tariq, M., & Al-Otaibi, S. (2022). Asynchronous federated deep reinforcement learning-based URLLC-aware computation offloading in space-assisted vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 24(7), 7377-7389.​​Toward experience-driven traffic management and orchestration in digital-twin-enabled 6G networksTariq, M., Naeem, F., & Poor, H. V. (2022). Toward experience-driven traffic management and orchestration in digital-twin-enabled 6G networks. arXiv preprint arXiv:2201.04259.​​Visual information processing and transmission in Wireless Multimedia Sensor Networks: a deep learning based practical approachRehman, Y. A. U., & Tariq, M. (2022). Visual information processing and transmission in Wireless Multimedia Sensor Networks: a deep learning based practical approach. In Internet of Multimedia Things (IoMT) (pp. 47-66). Academic Press.​​Multiple contaminant biosignal quality analysis for electrocardiographyAbbasi, M. U., Rashad, A., Srivastava, G., & Tariq, M. (2022). Multiple contaminant biosignal quality analysis for electrocardiography. Biomedical Signal Processing and Control, 71, 103127.​​Towards AI-enabled traffic management in multipath TCP: A surveySiddiqi, S. J., Naeem, F., Khan, S., Khan, K. S., & Tariq, M. (2022). Towards AI-enabled traffic management in multipath TCP: A survey. Computer Communications, 181, 412-427.

Question 6

Year 2021

Accepted Answer

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution gridsZhou, Z., Jia, Z., Liao, H., Lu, W., Mumtaz, S., Guizani, M., & Tariq, M. (2021). Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids. IEEE Transactions on Industrial Informatics, 18(7), 4933-4943.​Digital twin-empowered network slicing in B5G networks: Experience-driven approachNaeem, F., Kaddoum, G., & Tariq, M. (2021, December). Digital twin-empowered network slicing in B5G networks: Experience-driven approach. In 2021 IEEE Globecom workshops (GC wkshps) (pp. 1-5). IEEE.​Experience-driven attack design and federated-learning-based intrusion detection in industry 4.0Tahir, B., Jolfaei, A., & Tariq, M. (2021). Experience-driven attack design and federated-learning-based intrusion detection in industry 4.0. IEEE Transactions on Industrial Informatics, 18(9), 6398-6405.​Optimized security algorithms for intelligent and autonomous vehicular transportation systemsKamal, M., Tariq, M., Srivastava, G., & Malina, L. (2021). Optimized security algorithms for intelligent and autonomous vehicular transportation systems. IEEE Transactions on Intelligent Transportation Systems, 24(2), 2038-2044.​Improved and secured electromyography in the Internet of health ThingsUsman, M., Kamal, M., & Tariq, M. (2021). Improved and secured electromyography in the Internet of health Things. IEEE journal of biomedical and health informatics, 26(5), 2032-2040.​Integration of blockchain and federated learning for Internet of Things: Recent advances and future challengesAli, M., Karimipour, H., & Tariq, M. (2021). Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges. Computers & Security, 108, 102355.​A digital rights management system based on a scalable blockchainGarba, A., Dwivedi, A. D., Kamal, M., Srivastava, G., Tariq, M., Hasan, M. A., & Chen, Z. (2021). A digital rights management system based on a scalable blockchain. Peer-to-Peer Networking and Applications, 14, 2665-2680.​IEEE access special section editorial: lightweight security and provenance for internet of health thingsTariq, M., Sato, T., Srivastava, G., Marojevic, V., & Goldenbaum, M. (2021). IEEE access special section editorial: lightweight security and provenance for internet of health things. IEEE Access, 9, 67501-67503.​Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical SystemsTariq, M., Ali, M., Naeem, F., & Poor, H. V. (2020). Vulnerability assessment of 6G-enabled smart grid cyber–physical systems. IEEE internet of things journal, 8(7), 5468-5475.

Question 7

Year 2020

Accepted Answer

Group enhancement for matching of multi-view image with overlap fuzzy featureLai, Y., & Tariq, M. (2020). Group enhancement for matching of multi-view image with overlap fuzzy feature. Multimedia Tools and Applications, 79(3), 2069-2084.​Energy efficient resource optimization in cooperative Internet of Things networksAnsere, J. A., Kamal, M., Gyamfi, E., Sam, F., Tariq, M., & Mohammed, A. (2020). Energy efficient resource optimization in cooperative Internet of Things networks. Internet of Things, 12, 100302.​A privacy-preserved and cost-efficient control scheme for coronavirus outbreak using call data record and contact tracingNisar, S., Zuhaib, M. A., Ulasyar, A., & Tariq, M. (2020). A privacy-preserved and cost-efficient control scheme for coronavirus outbreak using call data record and contact tracing. IEEE Consumer Electronics Magazine, 10(2), 104-110.​Cascading overload failure analysis in renewable integrated power gridsAdnan, M., & Tariq, M. (2020). Cascading overload failure analysis in renewable integrated power grids. Reliability Engineering & System Safety, 198, 106887.​A Generative Adversarial Network Enabled Deep Distributional Reinforcement Learning for Transmission Scheduling in Internet of VehiclesNaeem, F., Seifollahi, S., Zhou, Z., & Tariq, M. (2020). A generative adversarial network enabled deep distributional reinforcement learning for transmission scheduling in internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4550-4559.​Instability detection and prevention in smart grids under asymmetric faultsTariq, M., Adnan, M., Srivastava, G., & Poor, H. V. (2020). Instability detection and prevention in smart grids under asymmetric faults. IEEE Transactions on Industry Applications, 56(4), 4510-4520.​A software defined network based fuzzy normalized neural adaptive multipath congestion control for the internet of thingsNaeem, F., Srivastava, G., & Tariq, M. (2020). A software defined network based fuzzy normalized neural adaptive multipath congestion control for the internet of things. IEEE transactions on network science and engineering, 7(4), 2155-2164.​SDN-enabled energy-efficient routing optimization framework for industrial Internet of ThingsNaeem, F., Tariq, M., & Poor, H. V. (2020). SDN-enabled energy-efficient routing optimization framework for industrial Internet of Things. IEEE Transactions on Industrial Informatics, 17(8), 5660-5667.​Load Forecasting through Estimated Parametrized based Fuzzy Inference System in Smart GridsAli, M., Adnan, M., Tariq, M., & Poor, H. V. (2020). Load forecasting through estimated parametrized based fuzzy inference system in smart grids. IEEE Transactions on Fuzzy Systems, 29(1), 156-165.​Blockchain-based lightweight and secured v2v communication in the internet of vehiclesKamal, M., Srivastava, G., & Tariq, M. (2020). Blockchain-based lightweight and secured v2v communication in the internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(7), 3997-4004.

Question 8

Year 2019

Accepted Answer

Detection of epilepsy seizures in neo-natal EEG using LSTM architectureAbbasi, M. U., Rashad, A., Basalamah, A., & Tariq, M. (2019). Detection of epilepsy seizures in neo-natal EEG using LSTM architecture. IEEE access, 7, 179074-179085.​A probabilistic approach for power network stability in smart gridsAdnan, M., Ali, M., & Tariq, M. (2019, December). A probabilistic approach for power network stability in smart grids. In 2019 15th International Conference on Emerging Technologies (ICET) (pp. 8138-8143). IEEE.​Voltage profile enhancement due to large scale renewable integrated system with V2GTahir, B., & Tariq, M. (2019, December). Voltage profile enhancement due to large scale renewable integrated system with V2G. In 2019 15th International Conference on Emerging Technologies (ICET) (pp. 1-6). IEEE.​Preventing Cascading Failure through Fuzzy Co-operative Control Mechanism using V2GAdnan, M., Ali, M., Basalamah, A., & Tariq, M. (2019). Preventing cascading failure through fuzzy co-operative control mechanism using V2G. IEEE Access, 7, 142607-142622.​Optimum control strategies for short term load forecasting in smart gridsAli, M., Adnan, M., & Tariq, M. (2019). Optimum control strategies for short term load forecasting in smart grids. International journal of electrical power & Energy systems, 113, 792-806.​Cognitively inspired feature extraction and speech recognition for automated hearing loss testingNisar, S., Tariq, M., Adeel, A., Gogate, M., & Hussain, A. (2019). Cognitively inspired feature extraction and speech recognition for automated hearing loss testing. Cognitive Computation, 11, 489-502.​Light-weight security and blockchain based provenance for advanced metering infrastructureKamal, M., & Tariq, M. (2019). Light-weight security and blockchain based provenance for advanced metering infrastructure. IEEE Access, 7, 87345-87356.​A novel ANN-based distribution network state estimatorAhmad, F., Tariq, M., & Farooq, A. (2019). A novel ANN-based distribution network state estimator. International Journal of Electrical Power & Energy Systems, 107, 200-212.​Light-weight security for advanced metering infrastructureKamal, M., & Tariq, M. (2019, April). Light-weight security for advanced metering infrastructure. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) (pp. 1-5). IEEE.​Stabilizing super smart grids using v2g: A probabilistic analysisTariq, M., & Adnan, M. (2019, April). Stabilizing super smart grids using v2g: A probabilistic analysis. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) (pp. 1-5). IEEE.

Question 9

Year 2018  ​​​

Accepted Answer

Wind resource assessment using SODAR and meteorological mast–A case study of PakistanKhan, K. S., & Tariq, M. (2018). Wind resource assessment using SODAR and meteorological mast–A case study of Pakistan. Renewable and Sustainable Energy Reviews, 81, 2443-2449.​Light-Weight Security and Data Provenance for Multi-Hop Internet of ThingsKamal, M. (2018). Light-weight security and data provenance for multi-hop Internet of Things. IEEE Access, 6, 34439-34448.​Electricity Theft Detection and Localization in Grid-tied MicrogridsTariq, M., & Poor, H. V. (2016). Electricity theft detection and localization in grid-tied microgrids. IEEE Transactions on Smart Grid, 9(3), 1920-1929.​Trajectory-based reliable content distribution in D2D-based cooperative vehicular networks: A coalition formation approachZhou, Z., Xiong, F., Yu, H., Xu, C., Mumtaz, S., Rodriguez, J., & Tariq, M. (2018, May). Trajectory-based reliable content distribution in D2D-based cooperative vehicular networks: A coalition formation approach. In 2018 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.​Dialect recognition for low resource language using an adaptive filter bankNisar, S., & Tariq, M. (2018). Dialect recognition for low resource language using an adaptive filter bank. International Journal of Wavelets, Multiresolution and Information Processing, 16(04), 1850031.​Load flow balancing and transient stability analysis in renewable integrated power gridsAdnan, M., Tariq, M., Zhou, Z., & Poor, H. V. (2019). Load flow balancing and transient stability analysis in renewable integrated power grids. International Journal of Electrical Power & Energy Systems, 104, 744-771.​

Question 10

Year 2017

Accepted Answer

Pashto spoken digits recognition using spectral and prosodic based feature extractionNisar, S., Shahzad, I., Khan, M. A., & Tariq, M. (2017, February). Pashto spoken digits recognition using spectral and prosodic based feature extraction. In 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) (pp. 74-78). IEEE.

Question 11

Year 2016

Accepted Answer

A Novel Energy Efficient Object Detection and Image Transmission Approach for Wireless Multimedia Sensor NetworksRehman, Y. A. U., Tariq, M., & Sato, T. (2016). A novel energy efficient object detection and image transmission approach for wireless multimedia sensor networks. IEEE sensors journal, 16(15), 5942-5949.​An efficient adaptive window size selection method for improving spectrogram visualizationNisar, S., Khan, O. U., & Tariq, M. (2016). An efficient adaptive window size selection method for improving spectrogram visualization. Computational intelligence and neuroscience, 2016(1), 6172453.​Intelligent feature selection using hybrid based feature selection methodNisar, S., & Tariq, M. (2016, August). Intelligent feature selection using hybrid based feature selection method. In 2016 Sixth International Conference on Innovative Computing Technology (INTECH) (pp. 168-172). IEEE.​Real time electricity theft detection in microgrids through wireless sensor networksTariq, M., & Poor, H. V. (2016, October). Real time electricity theft detection in microgrids through wireless sensor networks. In 2016 IEEE SENSORS (pp. 1-3). IEEE.​Integrating energy efficiency analysis of massive MIMO-based C-RANZhang, D., Tariq, M., Mumtaz, S., Rodriguez, J., & Sato, T. (2016). Integrating energy efficiency analysis of massive MIMO-based C-RAN. EURASIP Journal on Wireless Communications and Networking, 2016, 1-9.

Question 12

Year 2015

Accepted Answer

Improved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor NetworksUr Rehman, Y. A., Tariq, M., & Khan, O. U. (2015). Improved object localization using accurate distance estimation in wireless multimedia sensor networks. PloS one, 10(11), e0141558.​​Smart grid standards: specifications, requirements, and technologiesSato, T., Kammen, D. M., Duan, B., Macuha, M., Zhou, Z., Wu, J., ... & Asfaw, S. A. (2015). Smart grid standards: specifications, requirements, and technologies. John Wiley & Sons.​​Modeling, design and analysis of intelligent traffic control system based on integrated statistical image processing techniquesUrRehman, Y. A., Khan, A., & Tariq, M. (2015, January). Modeling, design and analysis of intelligent traffic control system based on integrated statistical image processing techniques. In 2015 12th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 169-174). IEEE.​​Smart Grid Standards: Specifications, Requirements, and Technologies, First editSato, T., Kammen, D. M., Duan, B., Macuha, M., Zhou, Z., Wu, J., ... & Asfaw, S. A. (2015). Smart grid standards: specifications, requirements, and technologies. John Wiley & Sons​​​​Cross-Domain Fine-Grained Data Usage Control Service for Industrial Wireless Sensor NetworksWu, J., Dong, M., Ota, K., Tariq, M., & Guo, L. (2015). Cross-domain fine-grained data usage control service for industrial wireless sensor networks. IEEE Access, 3, 2939-2949.​​Efficient detection of brain tumor using normalized histogramNisar, S., Khan, M. M., Ibrahim, M., & Tariq, M. (2015). Efficient detection of brain tumor using normalized histogram. Basic Appl. Sci. Res, 5(4), 34-43.​​Security and Safety for Standardized Smart Grid NetworksSato, T., Kammen, D. M., Duan, B., Macuha, M., Zhou, Z., Wu, J., ... & Asfaw, S. A. (2015). Security and Safety for Standardized Smart Grid Networks. Smart Grid Standard, T. Sato, DM Kammen, B. Duan, M. Macuha, Z. Zhou, J. Wu, M. Tariq and SA Asfaw (eds.).

Question 13

Year 2014  ​

Accepted Answer

​Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor NetworksKhan, K. S., & Tariq, M. (2014). Accurate monitoring and fault detection in wind measuring devices through wireless sensor networks. Sensors, 14(11), 22140-22158.​Distributed energy management in smart grid with dominated electricity provider and multiple microgridsBai, J., Zhou, Z., Zhou, S., & Tariq, M. (2014, October). Distributed energy management in smart grid with dominated electricity provider and multiple microgrids. In 2014 International Conference on Power System Technology (pp. 3249-3256). IEEE.​​

Question 14

Year 2013  ​

Accepted Answer

Performance evaluation of WLAN under impulsive electromagnetic interference in substationZhou, Z., Wu, J., Tariq, M., Liu, Z., & Sato, T. (2013, October). Performance evaluation of WLAN under impulsive electromagnetic interference in substation. In 2013 International Conference on ICT Convergence (ICTC) (pp. 171-176). IEEE.

Question 15

Year 2012

Accepted Answer

Smart grid standards for home and building automationTariq, M., Zhou, Z., Wu, J., Macuha, M., & Sato, T. (2012, October). Smart grid standards for home and building automation. In 2012 IEEE International Conference on Power System Technology (POWERCON) (pp. 1-6). IEEE.​An adaptive blind single antenna interference cancellation algorithm for 4G LTE systemsZhou, Z., Jiang, Y., Tariq, M., Li, Y., & Sato, T. (2012, June). An adaptive blind single antenna interference cancellation algorithm for 4G LTE systems. In 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (pp. 1162-1166). IEEE.​Study on energy consumption and reliability issues in multi-hop wireless sensor networks= Maruchihoppu musen sensa nettowaku ni okeru denryoku shohi to shinraisei ni kansuru kenkyuTariq, M. (2012). Study on energy consumption and reliability issues in multi-hop wireless sensor networks= Maruchihoppu musen sensa nettowaku ni okeru denryoku shohi to shinraisei ni kansuru kenkyu (Doctoral dissertation, Waseda University).​Detour Path Angular Information based Sensor Localization with Single Hop RSSI Measurement based Distance Calculation in Wireless Sensor NetworkPaul, A. K., Tariq, M., & Li, Y. (2012). Detour Path Angular Information based Sensor Localization with Single Hop RSSI Measurement based Distance Calculation in Wireless Sensor Network. 電子情報通信学会技術研究報告= IEICE technical report: 信学技報, 111(404), 165-170.

Question 16

Year 2011

Accepted Answer

Power dissipation analysis of IEEE 802.15. 4 distributed multi-hop wireless sensor networksTariq, M., Zhou, Z., Park, Y. J., & Sato, T. (2011). Power dissipation analysis of IEEE 802.15. 4 distributed multi-hop wireless sensor networks. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 94(11), 2279-2286.​​Performance evaluation of the IEEE 802.15. 4 multi-hop communications in error-prone wireless sensor networksTariq, M., Macuha, M., Park, Y. J., & Sato, T. (2011, October). Performance evaluation of the IEEE 802.15. 4 multi-hop communications in error-prone wireless sensor networks. In Proceedings of the 9th ACM international symposium on Mobility management and wireless access (pp. 131-136).​​Range free angle calculation (rfac) based sensor lo-calization in wireless sensor networksPaul, A. K., Muhammad, T., Yanwei, L., & Sato, T. (2011, October). Range free angle calculation (rfac) based sensor lo-calization in wireless sensor networks. In International conference on modeling and simulation technology, tokai university takanawa campus, Tokyo (pp. 5-8).​​A realistic communication model for distributed error-prone wireless sensor networksM Tariq, M Macuha, YJ Park, T SatoIEICE transactions on communications 94 (10), 2805-2816​​Performance evaluation of a blind single antenna interference cancellation algorithm for OFDM systems with insufficient training sequenceZhou, Z., Tariq, M., Jiang, Y., Nguyen, N. H., & Sato, T. (2011, September). Performance evaluation of a blind single antenna interference cancellation algorithm for OFDM systems with insufficient training sequence. In 2011 IEEE Vehicular Technology Conference (VTC Fall) (pp. 1-5). IEEE.​​BS-6-33 Average Connectivity Degree Cluster-based Gossip Algorithm in Wireless Sensor Network (BS-6. Planning, Control and Management on Networks and Services)Yanwei, L., Muhammad, T., Kumar, P. A., & Takuro, S. (2011). BS-6-33 Average Connectivity Degree Cluster-based Gossip Algorithm in Wireless Sensor Network (BS-6. Planning, Control and Management on Networks and Services). 電子情報通信学会ソサイエティ大会講演論文集, 2011(2), S-94.​​BS-6-32 An Energy Efficient Clustering Scheme in Wireless Sensor Networks (BS-6. Planning, Control and Management on Networks and Services)Kumar, P. A., Muhammad, T., Yanwei, L., & Takuro, S. (2011). BS-6-32 An Energy Efficient Clustering Scheme in Wireless Sensor Networks (BS-6. Planning, Control and Management on Networks and Services). 電子情報通信学会ソサイエティ大会講演論文集, 2011(2), S-92.​Multi-hop angle calculation based sensor localization in wireless sensor networks (無線通信システム)Kumar, P. A., Muhammad, T., Yanwei, L., & Takuro, S. A. T. O. (2011). Multi-hop angle calculation based sensor localization in wireless sensor networks (無線通信システム). 電子情報通信学会技術研究報告. RCS, 無線通信システム, 111(180), 153-158.​Data collection method for mobile sensor networks based on the theory of thermal fieldsMacuha, M., Tariq, M., & Sato, T. (2011). Data collection method for mobile sensor networks based on the theory of thermal fields. Sensors, 11(7), 7188-7203.​BS-4-2 TOA Estimation Based UWB Position Location Algorithm (BS-4. Network Design, Management and Control for Future Networked Systems)Lkhagvaa, O., Muhammad, T., Martin, M., & Takuro, S. A. T. O. (2011). BS-4-2 TOA Estimation Based UWB Position Location Algorithm (BS-4. Network Design, Management and Control for Future Networked Systems). 電子情報通信学会総合大会講演論文集, 2011(2), S-11.​An Energy Efficient Clustering Scheme in Wireless Sensor NetworksAK Paul, M Tariq, Y Li, T Sato​Link Quality Assessment through Physical Channel Quality Estimators in Multi-hop Wireless Sensor NetworksTARIQ, M., MACUHA, M., PAUL, A. K., LI, Y., & SATO, T. (2011). Link Quality Assessment through Physical Channel Quality Estimators in Multi-hop Wireless Sensor Networks.​​Multi-hop angle calculation based sensor localization in wireless sensor networksPaul, A. K., Tariq, M., & Li, Y. (2011). Multi-hop angle calculation based sensor localization in wireless sensor networks. 電子情報通信学会技術研究報告= IEICE technical report: 信学技報, 111(180), 153-158.​Mobile Information Network and Personal Communications-Power Dissipation Analysis of IEEE 802.15. 4 Distributed Multi-Hop Wireless Sensor NetworksTariq, M., Zhou, Z., Park, Y. J., & Sato, T. (2011). Mobile Information Network and Personal Communications-Power Dissipation Analysis of IEEE 802.15. 4 Distributed Multi-Hop Wireless Sensor Networks. IEICE Transactions on Fundamentals ElectronicsCommunications and Computer Scienc, 94(11), 2279.​Average connectivity degree cluster-based gossip algorithm in wireless sensor networkLi, Y., Tariq, M., & Paul, A. K. (2011). Average connectivity degree cluster-based gossip algorithm in wireless sensor network. 電子情報通信学会技術研究報告= IEICE technical report: 信学技報, 111(180), 147-152.

Question 17

Year 2010

Accepted Answer

​Error probability bounds of JMLSE based single antenna interference cancellation algorithms for MQAM-OFDM systemsZhou, Z., Tariq, M., & Sato, T. (2010, September). Error probability bounds of JMLSE based single antenna interference cancellation algorithms for MQAM-OFDM systems. In 2010 IEEE 72nd Vehicular Technology Conference-Fall (pp. 1-5). IEEE.​​Diffusion based self-deployment algorithm for mobile sensor networksMartin, M. A. C. U. H. A., Muhammad, T. A. R. I. Q., & Takuro, S. A. T. O. (2010). BS-7-21 Energy Adaptive Proactive Routing Scheme for Wireless Sensor Networks (BS-7. Network Planning, Control and Management). 電子情報通信学会ソサイエティ大会講演論文集, 2010(2), S-85.​​An energy estimation model for mobile sensor networksTariq, M., Macuha, M., Park, Y. J., & Sato, T. (2010, July). An energy estimation model for mobile sensor networks. In 2010 Fourth International Conference on Sensor Technologies and Applications (pp. 507-512). IEEE.​​

Question 18

Year 2009

Accepted Answer

​Energy efficient and reliable routing scheme for wireless sensor networksTariq, M., Kim, Y. P., Kim, J. H., Park, Y. J., & Jung, E. H. (2009, February). Energy efficient and reliable routing scheme for wireless sensor networks. In 2009 International Conference on Communication Software and Networks (pp. 181-185). IEEE.

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Lab Director Dr. Muhammad Tariq Professor, School of Engineering, NUCES-FAST, Islamabad, Pakistan

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​Technical Expertise and Application Domains

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🔹 Ms. Sana Saleh

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🔹 Dr. Irum Saba

🔹 Dr. Sohail Ahmad

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Shabih Ul Hasnain

Asma Sheryar khan

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Ayma Noor

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