Skip to main content

Research Repository

Advanced Search

All Outputs (28)

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks (2025)
Presentation / Conference Contribution
Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency o... Read More about COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks.

Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum (2024)
Presentation / Conference Contribution
Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (2024, December). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa

The increasing demand for machine learning (ML) technologies has led to a significant rise in energy consumption and environmental impact, particularly within the context of distributed computing environments like the Edge-Fog-Cloud Continuum. This p... Read More about Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum.

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (2024)
Presentation / Conference Contribution
Khanam, Z., Achari, V., Boukhennoufa, I., Jindal, A., & Singh, A. K. (2024, January). A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control. Presented at Workshop on Next Generation Real-Time Embedded Systems (NG-RES), Munich, Germany

Traffic congestion is one of the growing urban problem with associated problems like fuel wastage, loss of lives, and slow productivity. The existing traffic system uses programming logic control (PLC) with round-robin scheduling algorithm. Recent wo... Read More about A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control.

A Simulation-based Decision Support System for Urban Traffic Management (2023)
Presentation / Conference Contribution
Calvio, A., Jindal, A., Bujari, A., Aujla, G. S., & Foschini, L. (2023, November). A Simulation-based Decision Support System for Urban Traffic Management. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

One common challenge faced by smart cities is traffic congestion, caused also unintentionally by city planners, which significantly impacts urban life and the environment. To address these issues, various strategies and approaches are explored, inclu... Read More about A Simulation-based Decision Support System for Urban Traffic Management.

Intrusion Detection in Critical SD-IoT Ecosystem (2023)
Presentation / Conference Contribution
Algamdi, H., Aujla, G. S., Jindal, A., & Trehan, A. (2023, May). Intrusion Detection in Critical SD-IoT Ecosystem. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

The Internet of Things (IoT) connects physical objects with intelligent decision-making support to exchange information and enable various critical applications. The IoT enables billions of devices to connect to the Internet, thereby collecting and e... Read More about Intrusion Detection in Critical SD-IoT Ecosystem.

I2UTS: An IoT based Intelligent Urban Traffic System (2021)
Presentation / Conference Contribution
Suresh Achari, V. P., Khanam, Z., Singh, A. K., Jindal, A., Prakash, A., & Kumar, N. (2021, December). I2UTS: An IoT based Intelligent Urban Traffic System. Presented at 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)

Data-driven Energy Theft Detection in Modern Power Grids (2021)
Presentation / Conference Contribution
Althobaiti, A., Jindal, A., & Marnerides, A. K. (2021, December). Data-driven Energy Theft Detection in Modern Power Grids. Presented at Proceedings of the Twelfth ACM International Conference on Future Energy Systems

Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration (2020)
Presentation / Conference Contribution
Rotsos, C., Marnerides, A. K., Magzoub, A., Jindal, A., McCherry, P., Bor, M., Vidler, J., & Hutchison, D. (2020, December). Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration. Presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment (2020)
Presentation / Conference Contribution
Kumar, N., Dhand, T., Jindal, A., Aujla, G. S., Cao, H., & Yang, L. (2020, December). An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment. Presented at 2020 IEEE 21st International Symposium on 'A World of Wireless, Mobile and Multimedia Networks' (WoWMoM)

SCADA-agnostic Power Modelling for Distributed Renewable Energy Sources (2020)
Presentation / Conference Contribution
Althobaiti, A., Jindal, A., & Marnerides, A. K. (2020, December). SCADA-agnostic Power Modelling for Distributed Renewable Energy Sources. Presented at 2020 IEEE 21st International Symposium on 'A World of Wireless, Mobile and Multimedia Networks' (WoWMoM)

Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios (2020)
Presentation / Conference Contribution
Singh, M., Aujla, G. S., Bali, R. S., Vashisht, S., Singh, A., & Jindal, A. (2020, September). Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. Presented at Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, London, United Kingdom

COVID-19 made the world stop, with people trapped inside their homes and governments trying to restrict the public movement. However, to accomplish this, one big problem that emerged and outscored everything else was catering to the day to day necess... Read More about Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios.

Tackling Energy Theft in Smart Grids through Data-driven Analysis (2020)
Presentation / Conference Contribution
Jindal, A., Schaeffer-Filho, A., Marnerides, A. K., Smith, P., Mauthe, A., & Granville, L. (2020, December). Tackling Energy Theft in Smart Grids through Data-driven Analysis. Presented at 2020 International Conference on Computing, Networking and Communications (ICNC)

DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem (2019)
Presentation / Conference Contribution
Aujla, G. S., Jindal, A., Chaudhary, R., Kumar, N., Vashist, S., Sharma, N., & Obaidat, M. S. (2019, December). DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem. Presented at ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China

Identifying Security Challenges in Renewable Energy Systems (2019)
Presentation / Conference Contribution
Jindal, A., Marnerides, A. K., Scott, A., & Hutchison, D. (2019, December). Identifying Security Challenges in Renewable Energy Systems. Presented at Proceedings of the Tenth ACM International Conference on Future Energy Systems

DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR (2018)
Presentation / Conference Contribution
Jindal, A., Aujla, G. S., Kumar, N., Prodan, R., & Obaidat, M. S. (2018, December). DRUMS: Demand Response Management in a Smart City Using Deep Learning and SVR. Presented at 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates