Mohammad Aazam, Ph.D.

About

Mohammad Aazam (S’11, M’15, SM’16) is currently working as an assistant teaching professor at Carnegie Mellon University. Previously, he was an associate professor at the University of Nottingham, Malaysia. Previously, he was a senior research scientist at Carnegie Mellon University in Qatar. He has previously worked with Carleton University, Canada and Ryerson University, Canada as a postdoc fellow. He completed his Ph.D. Computer Engineering from Kyung Hee University, Korea, in 2015. In addition to that, he has completed a course on Data Science with R from Harvard University, USA in 2017, and a course on Internet of Things (IoT) from King’s College London, UK, in 2016. He has more than 100 publications, including 3 patents. He is also a founding member of IEEE SIG Intelligent Internet Edge (IIE). For additional details: www.aazamcs.com.

Employment

• Carnegie Mellon University Assistant Teaching Professor
  2022 - Present
• University of Nottingham Associate Professor
  2020 - 2022
• Carnegie Mellon University Senior Research Scientist
  2018 - 2020
• Toronto Metropolitan University Postdoctoral Fellow (Part-Time)
  2017 - 2020
• Carnegie Mellon University - Qatar Campus Postdoctoral Research Associate
  2017 - 2018
• Carleton University Postdoc
  2015 - 2017

Education

• Kyung Hee University PhD
  2012 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (83)

• Novel Data Fusion Scheme for Enhanced User Experiences in Terahertz-Enabled IoNT
  Amjad Ali, Mohammad Aazam, Maryam Mohamed Al Dabel +4 more
  IEEE Consumer Electronics Magazine 2025 DOI: 10.1109/MCE.2024.3457033
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• Cloud of Things (CoT): Cloud-Fog-IoT Task Offloading for Sustainable Internet of Things
  IEEE Transactions on Sustainable Computing 2022 DOI: 10.1109/TSUSC.2020.3028615
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• Task offloading in edge computing for machine learning-based smart healthcare
  Computer Networks 2021 DOI: 10.1016/j.comnet.2021.108019
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• SemKoRe: Improving Machine Maintenance in Industrial IoT with Semantic Knowledge Graphs
  Hicham Hossayni, Imran Khan, Mohammad Aazam

  +2 more

  • Amin Taleghani-Isfahani
  • Noël Crespi
  Applied Sciences 2020 DOI: 10.3390/app10186325
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• Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
  IEEE Access 2020 DOI: 10.1109/ACCESS.2020.2975310
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• Guest Editorial Special Issue on Emerging Trends and Challenges in Fog Computing for IoT
  IEEE Internet of Things Journal 2020 DOI: 10.1109/JIOT.2020.2982520
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• Health Fog for Smart Healthcare
  IEEE Consumer Electronics Magazine 2020 DOI: 10.1109/MCE.2019.2953749
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• IEEE Access Special Section Editorial: Sustainable Infrastructures, Protocols, and Research Challenges for FOG Computing
  IEEE Access 2020 DOI: 10.1109/ACCESS.2020.3000845
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• Fog Computing for 5G Tactile Industrial Internet of Things: QoE-Aware Resource Allocation Model
  IEEE Transactions on Industrial Informatics 2019 DOI: 10.1109/TII.2019.2902574
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• Mapping QoE with Resource Estimation in IoT
  IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings 2019 DOI: 10.1109/WF-IoT.2019.8767254
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• OHealth: Opportunistic Healthcare in Public Transit through Fog and Edge Computing
  Proceedings - 4th IEEE International Conference on Smart Cloud, SmartCloud 2019 and 3rd International Symposium on Reinforcement Learning, ISRL 2019 2019 DOI: 10.1109/SmartCloud.2019.00020
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• SMC: Smart media compression for edge storage offloading
  2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019, co-located with USENIX ATC 2019 2019
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• Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
  IEEE Transactions on Industrial Informatics 2018 DOI: 10.1109/TII.2018.2855198
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• Cloud resource allocation based on historical records: An analysis of different resource estimation functions
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018 DOI: 10.1007/978-3-319-94472-2_9
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• Delay tolerant computing: The untapped potential
  Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM 2018 DOI: 10.1145/3264844.3264848
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• EdgeStore: Leveraging edge devices for mobile storage offloading
  Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom 2018 DOI: 10.1109/CloudCom2018.2018.00025
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• Fog Computing Architecture, Evaluation, and Future Research Directions
  IEEE Communications Magazine 2018 DOI: 10.1109/MCOM.2018.1700707
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• Fog assisted driver behavior monitoring for intelligent transportation system
  IEEE Vehicular Technology Conference 2018 DOI: 10.1109/VTCFall.2017.8288317
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• Fog-supported internet of things (IoTs) architecture for remote patient monitoring systems using wireless body area sensor networks
  Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE … 2018 DOI: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00092
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• Leveraging Neighboring Cooperative Devices for Mobile Storage Offloading
  2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 2018 DOI: 10.1109/PERCOMW.2018.8480224
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