AI/ML for Autonomic Computing @ QMUL

Team Members

  • Dr. Sukhpal Singh Gill (Group Lead)
  • Mr. Muhammed Golec
  • Muhammad Hassaan Anwar
  • Saeid Ghafouri
  • Yyi Kai Teoh

Affiliate Members

  • Prof. Steve Uhlig, Queen Mary University of London
  • Dr. Joseph Doyle, Queen Mary University of London

External Collaborators

  • Prof. Rajkumar Buyya, University of Melbourne
  • Prof. Omer Rana, Cardiff University
  • Prof. Rizos Sakellariou, University of Manchester
  • Prof. Vlado Stankovski, University of Ljubljana
  • Dr. Rami Bahsoon, University of Birmingham
  • Dr. Peter Garraghan, Lancaster University
  • Mr. Manmeet Singh, University of Texas at Austin
  • Mr. Shreshth Tuli, Imperial College London
  • Mr. Shikhar Tuli, Princeton University

Research Themes

  • Cloud/Fog/Edge/Serverless Computing
  • Automatic Resource Management
  • Healthcare (COVID-19, heart disease etc.)
  • Climate Change
  • Smart Transportation
  • Internet of Things (IoT)
  • Prediction of Drug Addiction
  • Teaching Techniques

Publications

  1. Muhammed Golec, Rdvan Ozturac, Zahra Pooranian, Rajkumar Buyya and Sukhpal Singh Gill, iFaaSBus: A Security and Privacy based Lightweight Framework for Serverless Computing using IoT and Machine Learning, IEEE Transactions on Industrial Informatics, 2021.
  2. Muhammad Hassaan Anwar, Saeid Ghafouri, Sukhpal Singh Gill & Joseph Doyle, Recommender System for Optimal Distributed Deep Learning in Cloud Datacenters. Wireless Pers Commun (2021).
  3. Yyi Kai Teoh, Sukhpal Singh Gill and Ajith Kumar Parlikad, IoT and Fog Computing based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 using Machine Learning. IEEE Internet of Things Journal, 2021. DOI: 10.1109/JIOT.2021.3050441
  4. Arwinder Dhillon , Ashima Singh , Harpreet Vohra , Caroline Ellis , Blesson Varghese & Sukhpal Singh Gill (2020): IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing, Enterprise Information Systems (Taylor and Francis)
  5. Shreshth Tuli, Sukhpal Singh Gill, Giuliano Casale and Nicholas R. Jennings, iThermoFog: IoT-Fog based Automatic Thermal Profile Creation for Cloud Data Centers using Artificial Intelligence Techniques, Internet Technology Letters, 2020, https://doi.org/10.1002/itl2.198
  6. Shreshth Tuli, Shikhar Tuli, Rakesh Tuli and Sukhpal Singh Gill, “Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing” Internet of Things: Engineering Cyber Physical Human Systems, Elsevier, Vol. 11, 100222, 2020
  7. Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Felix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer Rana, Schahram Dustdar, and Rajkumar Buyya,ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments, Journal of Systems and Software (JSS), Volume 165, Pages: 1-20, ISSN: 0164-1212, Elsevier Press, Amsterdam, The Netherlands, 2020
  8. Kashish Bansal, Kashish Mittal, Gautam Ahuja, Ashima Singh and Sukhpal Singh Gill, DeepBus: Machine Learning based Real Time Pothole Detection System for Smart Transportation using IoT, Internet Technology Letters, Vol. 3, no. 3, Wiley, 2020.
  9. Shreshth Tuli, Nipam Basumatary, Sukhpal Singh Gill, Mohsen Kahani, Rajesh Chand Arya, Gurpreet Singh Wander, and Rajkumar Buyya, HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments, Future Generation Computer Systems (FGCS), Volume 104, Pages: 187-200, ISSN: 0167-739X, Elsevier Press, Amsterdam, The Netherlands, March 2020. 
  10. Manmeet Singh, Bipin Kumar, Dev Niyogi, Suryachandra Rao, Sukhpal Singh Gill, Rajib Chattopadhyay, Ravi S Nanjundiah, Deep learning for improved global precipitation in numerical weather prediction systems, arXiv:2106.12045, 2021

GitHub

YouTube Videos

DataSet

Google Earth Engine Apps: Climate

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