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Welcome to STAIR LAB

Smart Technologies and Applied Intelligence Research Lab

About Us

Smart Technologies and Applied Intelligence Research (STAIR) Lab is a research-oriented lab committed to shaping the future through innovation in intelligent, secure, and sustainable systems. Based at National University of Computer and Emerging Sciences (NUCES), Islamabad, the lab stands at the intersection of academia, technology, and societal impact. Our core belief is rooted in the idea that emerging technologies can meaningfully transform industries and improve lives when developed ethically and applied responsibly. With a guiding motto of “Adaptive Intelligence for a Dynamic World,” STAIR Lab aspires to create intelligent systems that can adapt, learn, and respond to real-world complexities.

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The work conducted at STAIR Lab revolves around developing transformative solutions using Artificial Intelligence (AI), Internet of Things (IoT), Digital Twin (DT) technologies, Cybersecurity, and Smart Systems. We aim to integrate these technologies into real-world applications while ensuring that the systems are explainable, trustworthy, and scalable. The lab is committed to addressing major global challenges across sectors like healthcare, transportation, smart infrastructure, and secure communications. Our research focus extends to human-centered AI design, secure edge intelligence, and the application of DT models in infrastructure and energy systems. What sets STAIR Lab apart is its emphasis on interdisciplinary collaboration and the fusion of theoretical research with applied innovation. Students, researchers, and collaborators work together in a shared environment that encourages creativity, critical thinking, and ethical decision-making.

 

Our goal is to create smart and practical solutions that can improve everyday life and help solve real-world problems. We focus on meaningful research, teamwork, and innovation to make a positive impact on society and the future.

Lab Director

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

At the heart of STAIR Lab’s vision and progress is the leadership of Dr. Muhammad Tariq, the Lab Director. Under his guidance, the lab has grown into a hub of interdisciplinary research and innovation. His global academic and research exposure, including collaborations in the United States, Japan, South Korea, and Pakistan, enriches the lab’s direction, fostering a culture of excellence and international relevance. His strategic insight has been instrumental in shaping STAIR Lab’s initiatives, empowering young researchers, and driving impactful solutions in the fields of intelligent systems and emerging technologies.

With more than 85 peer-reviewed publications in top-tier venues, Dr. Tariq’s work is widely recognized within the global research community. His contributions have earned him a place among the world’s top 2% of scientists, according to independent global rankings by Stanford University and Elsevier. His research spans critical areas such as Artificial Intelligence (AI), privacy-preserving models for edge and Internet of Things (IoT) systems, secure communication frameworks, federated learning, and Digital Twin (DT) technologies for smart infrastructure. These domains form the backbone of STAIR Lab’s ongoing research and development projects.


Under Dr. Tariq’s leadership, the lab has secured and participated in numerous prestigious international and national research initiatives, including collaborations funded by the North Atlantic Treaty Organization (NATO), the National Science Foundation (NSF), the Ministry of Science and Technology of China, and the South Asian Association for Regional Cooperation (SAARC) Development Fund. These projects focus on cutting-edge topics such as secure integrated sensing and communications, AI-powered speech recognition, and smart connectivity for next-generation wireless systems.


Dr. Tariq’s commitment to mentorship, academic excellence, and ethical innovation has transformed STAIR Lab into a thriving research environment. He leads by example, empowering students and researchers to pursue impactful, interdisciplinary work that balances academic rigor with real-world relevance. Under his guidance, STAIR Lab continues to evolve as a hub for next-generation innovation, pushing boundaries and contributing to the advancement of intelligent systems in an ever-changing digital world.

 

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​Technical Expertise and Application Domains

Technical Expertise

  • Artificial Intelligence (AI)

  • Internet of Things (IoT)

  • Generative AI (GAI) and Explainable AI (XAI)

  • Digital Twin (DT) 

  • Cyber-Physical Systems (CPS)

  • Blockchain & Distributed Ledger Technologies

  • Federated Learning & Privacy-Preserving AI

  • Web X.0 and Immersive Interfaces

  • Edge and Fog Computing

  • Embedded Systems and Real-Time Simulation

  • Secure Communication Protocols

Application Domains

  • Climate & Environmental Sustainability

  • Intelligent Transportation Systems (ITS)

  • Smart Grids and Electric Power Systems

  • Electric Vehicles & Mobility

  • Precision Agriculture and Food Security

  • Disaster Resilience & Emergency Systems

  • Urban Infrastructure & Smart Cities

  • Smart Healthcare Systems

  • Vehicle-to-Grid (V2G) Networks

  • Industrial Automation and Control

  • Intrusion Detection &Cybersecurity

  • Sensor Analytics & Real-Time Monitoring

Our Team Leads

🔹 Dr. Bushra Tahir

Cluster Lead – Federated Learning & Security
Research Associate, NUCES-FAST, Islamabad

Dr. Bushra specializes in privacy-preserving AI, with a focus on federated learning and decentralized model security. Her research addresses secure data collaboration, privacy assurance, and cybersecurity in distributed edge-based environments.

🔹 Ms. Sana Saleh

Cluster Lead – Computer Vision, Generative AI & IoT

Lecturer, NUCES-FAST, Islamabad

Ms. Sana leads interdisciplinary research at the intersection of computer vision, generative AI, and IoT. She develops efficient and lightweight DL models tailored for smart, resource-constrained embedded systems.

🔹 Dr. Irum Saba

Cluster Lead – Electric Vehicles & Reinforcement Learning
Assistant Professor, NUCES-FAST, Islamabad

Dr. Irum’s work focuses on intelligent control strategies for electric vehicles using reinforcement learning, with an emphasis on adaptive optimization, sustainability, and energy-efficient mobility solutions.

🔹 Dr. Sohail Ahmad

Cluster Lead – Communication Systems & Reflecting Surfaces
Research Associate, NUCES-FAST, Islamabad

Dr. Sohail researches advanced wireless communication technologies, including 5G/6G and intelligent reflecting surfaces, emphasizing spectral efficiency, reliability, and enhanced physical-layer design.

Team

"Innovative. Collaborative. Driven."

  • Current Doctoral Researchers

Our current doctoral researchers exemplify dedication, innovation, and resilience in every aspect of their research. They consistently push the boundaries of knowledge, tackling complex real-world problems with deep insight and strong technical expertise. Their passion for discovery and commitment to academic excellence continues to elevate the research standards of our institution.

  • Graduate Researchers

Our graduate researchers bring fresh perspectives and strong analytical skills to the lab. With solid foundations in core engineering disciplines and a passion for innovation, they actively contribute to research projects in Artificial Intelligence (AI), Internet of Things (IoT), and intelligent systems. Their dedication, intellectual curiosity, and evolving technical expertise make them integral to the lab’s collaborative and forward-thinking research environment.

  • Undergraduate Researchers

Our Bachelor's students embody the spirit of innovation and curiosity. With a deep curiosity about emerging technologies and a willingness to take on challenging problems, they contribute through prototyping, experimentation, and active project participation. Their enthusiasm and fresh perspective fuel the lab’s innovation culture and often lead to breakthrough ideas.

  • Former PhD Scholars

STAIR Lab’s PhD graduates have demonstrated excellence in advanced research across domains such as AI, energy systems, communication networks, and cybersecurity. Many hold academic positions in leading universities in Pakistan and abroad, while others contribute to industry-driven innovation. With a strong record of high-impact publications and funded collaborative projects, they embody the lab’s commitment to interdisciplinary excellence, practical relevance, and leadership in emerging technologies.

Lab News & Announcements

STAIR Lab is proud to share recent milestones that reflect our commitment to cutting-edge research, innovation, and global collaboration. 

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  • NATO Research Grant Secured

In June 2025, STAIR Lab was awarded a prestigious research grant under the NATO Science for Peace and Security (SPS) Programme. The project, titled “Secure Integrated Sensing and Communications (Secure ISAC),” will run through June 2028. Under the leadership of Dr. Muhammad Tariq as the Partner country Project Director (PPD), the project will focus on developing secure and intelligent sensing and communication systems for autonomous and cyber-physical platforms.

  •  Upcoming Book: Web X.0 – Intelligent, Decentralized, and Immersive Systems

A new book titled "Web X.0: Intelligent, Decentralized, and Immersive Systems" is currently under development and will be published by the Institution of Engineering and Technology (IET) in June 2026. This edited volume traces the evolution of the internet from Web 1.0 to Web X.0, exploring emerging technologies such as blockchain, quantum computing, AI, immersive interfaces, and decentralized systems. 

  • Recent Publications – 2025

 

May 2025 | Round-Trip Information Timeliness Based Energy Storage Control for Cyber-Physical Integrated Multi-Energy System | Journal: Journal of Energy Storage.

April 2025 | Modeling the Future: Mathematical Insights for Smart Grid 3.0| Journal: Computers and Electrical Engineering.

March 2025 | Securing the Vetaverse: Web 3.0 for Decentralized Digital Twin-Enhanced Vehicle–Road Safety | Journal: Future Generation Computer Systems.

March 2025 | Real-Time Pothole Detection With Edge Intelligence and Digital Twin in Internet of Vehicles |
Journal: IEEE Internet of Things Journal.

February 2025 | Intelligent Reflective Surfaces Assisted Vehicular Networks: A Computer Vision-Based Framework | Journal: IEEE Transactions on Intelligent Transportation Systems

Research & Publications

YEAR 2025

Intelligent Reflective Surfaces Assisted Vehicular Networks: A Computer Vision-Based Framework

Ahmad, 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 system

Liao, 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 3.0

Adnan, 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 safety

Siddiqi, 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 Vehicles

Saleh, 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.​

YEAR 2024

 

Federated learning for Supply Chain Management 5.0

Tahir, 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 techniques

Iqbal, 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 3.0

Adnan, 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 Survey

Tariq, 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 Cases

Liao, 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 Things

Khan, 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 EEG

Khan, 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 surfaces

Tariq, 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 vehicles

Siddiqi, 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 Vehicles

Jabeen 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 shifts

Liao, 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 systems

Saba, 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 Twin

Liao, 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 Grids

Adnan, 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).

YEAR 2023

Blockchain-Enabled Secure Distributed Event Logging in the Industrial Internet of Things

Kamal, 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 Everything

Ahmad, 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 approach

Tariq, 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 approach

Siddiqi, 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 parks

Du, 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 approach

Ahmad, 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 management

Liao, 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 systems

Ali, 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 Networks

Saba, 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 batteries

Saba, 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 substations

Shu, 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 technologies

Nisar, 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 review

Ali, 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 IoMT

Tahir, 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.
 

YEAR 2022

Vulnerability assessment and federated intrusion detection of Air Taxi enabled smart cities

Tahir, 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 opportunities

Nisar, 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 transportation

Gyamfi, 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 Survey

Ali, 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 networks

Pan, 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 networks

Tariq, 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 approach

Rehman, 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 electrocardiography

Abbasi, 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 survey

Siddiqi, 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.

YEAR 2021

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Zhou, 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 approach

Naeem, 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 4.0

Tahir, 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 systems

Kamal, 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 Things

Usman, 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 challenges

Ali, 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 blockchain

Garba, 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 things

Tariq, 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 Systems

Tariq, 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.

YEAR 2020
 

Group enhancement for matching of multi-view image with overlap fuzzy feature

Lai, 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 networks

Ansere, 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 tracing

Nisar, 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 grids

Adnan, 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 Vehicles

Naeem, 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 faults

Tariq, 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 things

Naeem, 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 Things

Naeem, 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 Grids

Ali, 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 vehicles

Kamal, 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.

YEAR 2019

Detection of epilepsy seizures in neo-natal EEG using LSTM architecture

Abbasi, 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 grids

Adnan, 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 V2G

Tahir, 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 V2G

Adnan, 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 grids

Ali, 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 testing

Nisar, 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 infrastructure

Kamal, 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 estimator

Ahmad, 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 infrastructure

Kamal, 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 analysis

Tariq, 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.

YEAR 2018

Wind resource assessment using SODAR and meteorological mast–A case study of Pakistan

Khan, 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 Things

Kamal, 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 Microgrids

Tariq, 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 approach

Zhou, 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 bank

Nisar, 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 grids

Adnan, 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.

YEAR 2017

Pashto spoken digits recognition using spectral and prosodic based feature extraction

Nisar, 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.

YEAR 2016

A Novel Energy Efficient Object Detection and Image Transmission Approach for Wireless Multimedia Sensor Networks

Rehman, 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 visualization

Nisar, 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 method

Nisar, 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 networks

Tariq, 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-RAN

Zhang, 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.

YEAR 2015

Improved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor Networks

Ur 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 technologies

Sato, 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 techniques

UrRehman, 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 edit

Sato, 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 Networks

Wu, 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 histogram

Nisar, 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 Networks

Sato, 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.).

YEAR 2014

Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks

Khan, 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 microgrids

Bai, 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.

YEAR 2013

Performance evaluation of WLAN under impulsive electromagnetic interference in substation

Zhou, 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.

YEAR 2012

Smart grid standards for home and building automation

Tariq, 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 systems

Zhou, 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 kenkyu

Tariq, 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 Network

Paul, 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.

YEAR 2011

Power dissipation analysis of IEEE 802.15. 4 distributed multi-hop wireless sensor networks

Tariq, 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 networks

Tariq, 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 networks

Paul, 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 networks

M Tariq, M Macuha, YJ Park, T Sato

IEICE transactions on communications 94 (10), 2805-2816

Performance evaluation of a blind single antenna interference cancellation algorithm for OFDM systems with insufficient training sequence

Zhou, 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 fields

Macuha, 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 Networks

AK Paul, M Tariq, Y Li, T Sato

Link Quality Assessment through Physical Channel Quality Estimators in Multi-hop Wireless Sensor Networks

TARIQ, 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 networks

Paul, 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 Networks

Tariq, 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 network

Li, 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.

YEAR 2010

Error probability bounds of JMLSE based single antenna interference cancellation algorithms for MQAM-OFDM systems

Zhou, 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 networks

Martin, 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 networks

Tariq, 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.

YEAR 2009

Energy efficient and reliable routing scheme for wireless sensor networks

Tariq, 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.

Research Grants & Funded Projects

Ongoing Project:

  • Secure Integrated Sensing and Communications (Secure ISAC)

       Funded by the NATO Science for Peace and Security (SPS) Programme | Duration: July 2025 – June 2028 | Role: Partner country                   Project Director (PPD) | Funding Amount: EUR 350,000

Selected Completed Projects:

  • 5G and Beidou Integration

       Funded by the Ministry of Science and Technology (MoST), China, via North China Electric Power University (NCEPU) | Duration: 1 year |       Role: Principal Investigator | Funding Amount: USD 100,000

  • SAARC GIS/AI-Based Disaster Resilience Platform 

      Funded by the South Asian Association for Regional Cooperation (SAARC) Energy Center (SEC) Development Fund | Duration: 1 year |          Role: Principal Investigator | Funding Amount: USD 43,800

  • AI-Based Speech Recognition
    Funded by the National Radio Telecommunication Corporation (NRTC) | Duration: 2 years | Role: Principal Investigator  | Funding Amount: PKR 2,000,000

  • Intelligent Wireless Systems

      Supported through Princeton University’s MURI/NSF Visiting Fellowship | Duration: 1 year | Role: Visting Fellow

Partnerships & Collaborations

  • National Radio Telecommunication Corporation (NRTC)

  • Princeton University’s, USA

  • North China Electric Power University (NCEPU), China

  • Ministry of Science and Technology, Pakistan

  • Rapidev Private Limited, Pakistan

  • SAARC Energy Center

Lined Up Books

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