Imran Jamal

Imran Jamal

Researcher
JNU Bigdata Research center


Highest Degree
Ph.D. in Computer Engineering from Jeju National University, South Korea

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Biography

Imran received the B.S. degree (Hons.) in information technology from the University of Malakand, KPK, Pakistan, and the M.S. degree in computer science from Bahria University, Islamabad, Pakistan, in 2018. He is currently pursuing a PhD degree with the Department of Computer Engineering, Jeju National University, South Korea. His work experience includes full-stack software development, IT training, and entrepreneurship. His research interests include the Internet-of-Things applications, machine learning, data science, and blockchain applications.

Area of Interest:

Computer Sciences
100%
Internet of things (IoT)
62%
Big Data
90%
Control and Optimization
75%
Block Chain
55%

Selected Publications

  1. Jamil, F., N. Iqbal, Imran, S. Ahmad and D. Kim, 2021. Peer-to-peer energy trading mechanism based on blockchain and machine learning for sustainable electrical power supply in smart grid. IEEE Access, 10.1109/access.2021.3060457.
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  2. Iqbal, N., Imran, S. Ahmad, R. Ahmad and D.H. Kim 2021. A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring. Sensors 10.3390/s21165430.
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  3. Imran, Z. Ghaffar, M. Waqas and A. Zaman, 2021. Using Machine Learning Algorithms for Housing Price Prediction: The Case of Islamabad Housing Data. Soft Comp. Mach. Intell. J. 10.22995/scmi.2021.1.1.03.
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  4. Imran, Z. Ghaffar, A. Alshahrani, M. Fayaz, A.M. Alghamdi and J. Gwak, 2021. A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges. Electrons., Vol. 10. 10.3390/electronics10080880.
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  5. Imran, I., N. Iqbal, S. Ahmad and D.H. Kim, 2021. Towards mountain fire safety using fire spread predictive analytics and mountain fire containment in iot environment. Sustainability, 10.3390/su13052461.
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  6. Imran, F. Jamil and D. Kim, 2021. An ensemble of prediction and learning mechanism for improving accuracy of anomaly detection in network intrusion environments. Sustainability, Vol. 13. 10.3390/su131810057.
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  7. Imran, , N. Iqbal, S. Ahmad and D.H. Kim, 2021. Health monitoring system for elderly patients using intelligent task mapping mechanism in closed loop healthcare environment. Symmetry, 10.3390/sym13020357.
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  8. Wahid F., M. Fayaz, A. Aljarbouh, M. Mir, M. Aamir and Imran, 2020. Energy consumption optimization and user comfort maximization in smart buildings using a hybrid of the firefly and genetic algorithms. Energies 13: 4363-4363.
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  9. Imran, S. Ahmad and D.H. Kim, 2020. Quantum GIS based descriptive and predictive data analysis for effective planning of waste management. IEEE Access, 8: 46193-46205.
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  10. Imran, , S. Ahmad and D.H. Kim, 2020. A task orchestration approach for efficient mountain fire detection based on microservice and predictive analysis in IoT environment. J. Intell. Fuzzy Syst., 10.3233/jifs-201614.
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  11. Ahmad, S., Imran, F. Jamil, N. Iqbal and D. Kim, 2020. Optimal route recommendation for waste carrier vehicles for efficient waste Collection: a step forward towards sustainable cities. IEEE Access, 8: 77875-77887.
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  12. Ahmad, S., I. Imran, N. Iqbal, F. Jamil and D.H. Kim, 2020. Optimal policy-making for municipal waste management based on predictive model optimization. IEEE Access, 10.1109/access.2020.3042598.
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  13. Imran, S. Ahmad and D. Kim, 2019. Design and implementation of thermal comfort system based on tasks allocation mechanism in smart homes. Sustainability 10.3390/su11205849.
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