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Aisha B Rahman

Aisha B Rahman

Spring 2025 Grad Conversion,
ENGR School of Electrical, Computing and Energy Engineering Research Tsiropoulou Group
  • arahma85@asu.edu
  • Mail code: 5706
    Campus: Tempe
  • ‌
Biography Research Teaching Public Work
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Student Information
Graduate Student
Computer Engineering (Electrical Engineering)
Ira A Fulton Engineering

Long Bio

Aisha received her bachelor’s and master’s degrees in electrical and electronic engineering from the University of Chittagong, Chittagong, Bangladesh, in 2019 and 2021, respectively. She obtained her second master's degree in Computer Engineering from the University of New Mexico in 2023 and is currently working toward a Ph.D. degree with the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA where she also works as a research assistant. Her research interests include 5G/6G Wireless Networks, Cloud Computing, Federated Learning Systems, and Distributed Energy Resources ecosystem.

Education
  1. Ph.D. Computer Engineering, (2026 Expected), School of Electrical, Energy and Computer Engineering, Arizona State University
  2. Master of Science in Computer Engineering, (2023), Department of Electrical and Computer Engineering, University of New Mexico.
  3. Master of Science in Electrical and Electronics Engineering (2021), Department of Electrical and Electronics Engineering, University of Chittagong.
  4. Bachelor of Science (2019), Department of Electrical and Electronics Engineering, University of Chittagong.
CV
Curriculum Vitae
Google Scholar URL
https://scholar.google.com/citations?user=_pFgZeYAAAAJ&hl=en
ORCID Profile ID
https://orcid.org/0000-0002-1802-484X
Research Interests

Distributed decision-making policies developed through game-theoretic approaches and reinforcement learning for complex heterogeneous networks including:

  1. Cloud Computing Environments
  2. 5G/6G Wireless Networks
  3. Distributed Energy Resources Ecosystem
  4. Distributed AI such as Federated Learning
  5. Information-Centric Networking, etc.
Research Group

Performance and Resource Optimization (PROTON) Laboratory
School of Electrical, Computer and Energy Engineering
Arizona State University

Publications

Journals:

  1. A. B. Rahman, P. Charatsaris, E. E. Tsiropoulou, S. Papavassiliou, "Symbiotic Resource Pricing in the Computing Continuum Era", IEEE Transactions of Mobile Computing. (Under Review)
  2. S. Tsikteris, A. B. Rahman, M. S. Siraj, E. E. Tsiropoulou, "TRUST-ME: Trust-Based Resource Allocation and Server Selection in Multi-Access Edge Computing", Future Internet 2024, 16, 278. https://doi.org/10.3390/fi16080278.
  3. A. Adesokan, A. B. Rahman, E. E. Tsiropoulou, "INFLUTRUST: Trust-Based Influencer Marketing Campaigns in Online Social Networks", Future Internet. 2024; 16(7):222. https://doi.org/10.3390/fi16070222.
  4. M. S. Siraj, A. B. Rahman, M. Diamanti, E. E. Tsiropoulou, S. Papavassiliou, ”Alternative Positioning,
    Navigation, and Timing in Satisfaction Form and Reconfigurable Intelligent Surfaces, in IEEE Systems Journal,
    doi: 10.1109/JSYST.2023.3268989.
  5. A. B. Rahman, M. F. Kader, ”A new energy harvesting scheme for multi-relay cooperative networks”, Digital
    Signal Processing, Volume 133, March 2023. doi: 10.1016/j.dsp.2022.103846
  6. P. Khan et al., Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and
    Recent Advances,” in IEEE Access, vol. 9, pp. 37622-37655, 2021, doi: 10.1109/ACCESS.

Conferences:

  1. A. B. Rahman, O. D. Pantaleon, E. E. Tsiropoulou, "NEMESIS: No-Regret E-health User Experience in Multi-Access Edge Computing Systems", IEEE ICC 2025. (Accepted).
  2. Y. S. Chen, A. B. Rahman, E. E. Tsiropoulou, "Aerial Integrated Access and Backhaul Networks", IEEE ICC 2025.
  3. O. D. Pantaleon, A. B. Rahman, E. E. Tsiropoulou, "TANDEM: Trust-aware Sustainable Data Offloading in Multi-access Edge Computing", IEEE ICC 2025. (Accepted).
  4. M. Diamanti, A. B. Rahman, P. Charatsaris, E. E. Tsiropoulou, S. Papavassiliou, "Resource Allocation as a Market: A Case Study on
    Multi-Server Multi-Model Federated Learning", 20th Wireless On-Demand Network Systems and Services Conference 2025. (To appear)
  5. Y. R. Choe et al., "Goaltender: Cloud-Based Defense and Response Tools for the DER Ecosystem," 2024 Resilience Week (RWS), Austin, TX, USA, 2024, pp. 1-10, doi: 10.1109/RWS62797.2024.10799447.
  6. A. B. Rahman, M. S. Siraj and E. E. Tsiropoulou, "HELIO-NET: Heliostats Empowered with Wireless Integrated Access and Backhaul Technology," 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, ON, Canada, 2024, pp. 358-363, doi: 10.1109/WF-IoT62078.2024.10811204.
  7. M. S. Siraj, A. B. Rahman and E. E. Tsiropoulou, "Energy Efficiency and Latency Optimization in Wireless Concentrated Solar Power Fields," 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, ON, Canada, 2024, pp. 870-875, doi: 10.1109/WF-IoT62078.2024.10811451.
  8. A. B. Rahman, Y. S. Chen, E. E. Tsiropoulou and S. Papavassiliou, "SynergyWave: Bandwidth Splitting and Power Control in Integrated Access and Backhaul Networks," ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA, 2024, pp. 31-36, doi: 10.1109/ICC51166.2024.10622392.
  9. A. B. Rahman, P. Charatsaris, E. E. Tsiropoulou and S. Papavassiliou, "Information-Centric Networking Cache Memory Allocation: A Network Economics Approach," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 1259-1264, doi: 10.1109/GLOBECOM54140.2023.10437315.
  10. A. B. Rahman, J. Patrizi, P. Charatsaris, E. E. Tsiropoulou and S. Papavassiliou, "Bioinspired Dynamic Spectrum Management in 3D Networks," 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 166-170, doi: 10.1109/DCOSS-IoT58021.2023.00038.
  11. A. B. Rahman, P. Charatsaris, M. S. Siraj and E. E. Tsiropoulou, "Symbiotic Content Caching in Next-Generation Information-Centric Networking," 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 414-421, doi: 10.1109/DCOSS-IoT58021.2023.00072.
  12. M. S. Siraj, A. B. Rahman, P. Charatsaris, E. E. Tsiropoulou and S. Papavassiliou, "Positioning, Navigation, and Timing on the Air," 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 661-668, doi: 10.1109/DCOSS-IoT58021.2023.00105.
  13. A. B. Rahman, M. S. Siraj, E. E. Tsiropoulou and S. Papavassiliou, "Mutualistic Compute Continuum: A Network Economics Analysis," 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy, 2023, pp. 1565-1570, doi: 10.1109/ICCWorkshops57953.2023.10283544.
  14. M. S. Siraj, A. B. Rahman, M. Diamanti, E. E. Tsiropoulou, S. Papavassiliou and J. Plusquellic, "Orchestration of Reconfigurable Intelligent Surfaces for Positioning, Navigation, and Timing," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 148-153, doi: 10.1109/MILCOM55135.2022.10017665.
  15. A. B. Rahman, M. S. Siraj, N. Kubiak, E. E. Tsiropoulou and S. Papavassiliou, "Network Economics-based Crowdsourcing in Online Social Networks," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 4655-4660, doi: 10.1109/GLOBECOM48099.2022.10001611. 

Magazines:

  1. E. E. Tsiropoulou, A. B. Rahman and M. S. Siraj, "HELIOCOMM: A Wireless Revolution in Concentrated Solar Power Systems," in IT Professional, vol. 26, no. 3, pp. 73-79, May-June 2024, doi: 10.1109/MITP.2024.3389502.

Technical Reports:

  1. E. E. Tsiropoulou, A. B. Rahman, M. S. Siraj, "HELIOCOMM: Wireless Controls State-of-the-Art Report," National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2024 https://doi.org/10.2172/2310347
Research Activity

Graduate Research Assistant
Performance and Resource Optimization (PROTON Lab), Arizona State University (2025-Present)
Performance and Resource Optimization (PROTON Lab), University of New Mexico (2022-2024)

  • Distributed decision-making policies developed through game-theoretic approaches and reinforcement learning for complex heterogeneous networks including: Cloud Computing Environments, 5G/6G Wireless Networks, Distributed Energy Resources Ecosystem, Distributed AI such as Federated Learning, Information-Centric Networking, etc.
     

Research Project
April 2023 – Present
HELIOCOMM Project: A Resilient Wireless Heliostats Communication System

  • A joint research project by the Department of Energy, National Renewable Energy Laboratory, the Sandia National Laboratories, and Arizona State University.
  • Designed primary components including integrated access and backhaul (IAB) technology, AI-based clustering, entropy-based routing, dynamic spectrum management, and interference mitigation.
  • Simulated the wireless network for a two-year duration based on real-time energy harvested by PV panel and real-time updates of azimuth and elevation angles of the heliostats.

  • Implemented the simulation with parallel processing assisted by the High Performance Computing (HPC) of NREL Computational Science Center and UNM Center for Advanced Research Computing (CARC).

     

Research Project
January 2024 – Present
Goaltender Project: Cloud-Based Defense and Response Tools for the DER Ecosystem

  • A joint research project by the Department of Energy, the Sandia National Laboratories, and Arizona State University.
  • Collected large, labeled dataset of IEEE 2030.5 XML and OCPP 2.0.1 JSON payloads, and parsed and pre-processed the collected dataset to create a training dataset for machine learning-based cyber-attack detection.
  • Extracted informative features from the collected payloads to distinguish between malicious and benign data samples.
  • Explored and evaluated multiple machine learning models for malware detection, considering supervised and un-supervised learning methods
Presentations

 

  • Paper presentation on "SynergyWave: Bandwidth Splitting and Power Control in  Integrated Access and Backhaul Networks" at the 2024 IEEE International Conference on Communications (ICC).
  • Poster presentation on "Information-centric Networking Cache Memory Allocation: A Network Economics Approach" at The LoboBITES Research Poster Presentation 2023, Shared Knowledge Conference, University of New Mexico, Albuquerque, New Mexico, USA.
  • Idea presentation on "The hidden story of online social network graphs" at The LoboBITES 2022, Shared Knowledge Conference, University of New Mexico, Albuquerque, New Mexico, USA.
Honors / Awards
  • IEEE Albuquerque Section Outstanding Graduate Student Award 2024, “For outstanding academic performance in the field of computing and communications”.
  • IEEE Albuquerque Section Service Award 2023, “For contributions in the IEEE Women in Engineering Affinity Group Albuquerque Section“.
  • Cadence Diversity in Technology Scholarship 2022. “For impressive academic achievements, thoughtful recommendations, and drive to shape the future of technology.”
  • Nominated as a finalist for the LoboBITES Competition by the University of New Mexico 2022, Three-minute presentation on a thesis, dissertation, or other substantial research project .
  • APECE Project Competition 2018, University of Chittagong. “First Runner Up, Project Showcasing”
  • EDU Engineering Day 2018, East Delta University. “Second Runner Up, Project Showcasing”
Service
  • Affinity Group Chair
    September 2022 – December 2024
    IEEE Albuquerque Section Women in Engineering Affinity Group
  • Chapter Vice-chair
    December 2023 – December 2024
    IEEE Albuquerque Section Communications Society and Computer Society Joint Chapter
  • Peer Reviewer
    IEEE Internet of Things Journal, IEEE Transactions on Green Communications and Networking, IEEE Access,  IEEE WCNC 2025, IEEE ICC 2024, IEEE CIoT 2024, IEEE SmartGridComm 2023, IEEE IEEE GLOBECOM 2022, SmartGridComm 2022, IEEE ISCC 2022. 
Expertise Areas
Cloud Computing
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