Sruthi Katragadda
Master's Researcher
Explainable Artificial Intelligence (XAI), Machine Learning
Networking & Systems
Wireless sensor networks, protocol performance under noise, and the systems work that makes distributed intelligence deployable.
WSN
Protocols
Simulation
Publications
8
Citations
—
Researchers
3
Alumni
0
Open positions
—
01 / WHO WORKS ON THIS
Researchers
Members of the lab whose work sits in this area.
Xavier Alejandro Gonzalez
Master's Researcher
Applied Machine Learning & Signal Processing Wireless Sensor Networks Networking & Systems
Masaba Masud Mina
Master's Researcher
Deep Learning, Medical Informatics, Quantum Machine Learning, Sustainable Agriculture
02 / WHAT CAME OUT OF IT
8 publications
Everything the lab has published in this area, newest first.
2025
2025
JOURNAL
Lightweight and Efficient Protocol Based on ECDH for Securing Smart Grid Communication Infrastructure
A. Peivandizadeh, H. Y. Adarbah, et al.
IEEE Access, vol. 13, pp. 123666–123681
2025
JOURNAL
SITRUS: Simulation and Analysis of Irregular Tessellated Wireless Sensor Networks Using Cooja
D. Maddala, H. Y. Adarbah, A. Noore
IEEE Access, vol. 13, pp. 159422–159438
2024
2024
JOURNAL
Utilizing UAVs in wireless networks: Advantages, challenges, objectives, and solution methods
M. J. Sobouti, A. Mohajerzadeh, H. Y. Adarbah, Z. Rahimi, H. Ahmadi
Vehicles, vol. 6, no. 4, pp. 1769–1800
2024
JOURNAL
Efficient fuzzy-based 3-D flying base station positioning and trajectory for emergency management in 5G and beyond cellular networks
M. J. Sobouti, H. Y. Adarbah, A. Alaghehband, H. Chitsaz, A. Mohajerzadeh, M. Sookhak, S. A. Hosseini Seno, A. Vahedian, F. Afghah
IEEE Systems Journal, vol. 18, no. 2, pp. 814–825
2024
JOURNAL
Cooperative high-rate and low-latency transmission, employing two-tier narrow-band Internet-of-Things and Bluetooth low-energy networks
M. J. Sobouti, H. Y. Adarbah, M. Miraghajanian, A. Mohajerzadeh, M. R. C. Qazani, H. Yanikomeroglu
IEEE Open Journal of the Communications Society, vol. 5, pp. 6135–6149
2023
2023
JOURNAL
Banking on the cloud: Insights into security and smooth operations
H. Y. Adarbah, A. H. Al-Badi
Journal of Business, Communication & Technology, vol. 2, no. 2, pp. 1–14
2023
JOURNAL
Security challenges of selective forwarding attack and design of a secure ECDH-based authentication protocol to improve RPL security
H. Y. Adarbah, M. F. Moghadam, R. L. R. Maata, A. Mohajerzadeh, A. H. Al-Badi
IEEE Access, vol. 11, pp. 11268–11280
2022
2022
JOURNAL
Impact of selective forwarding attacks on the performance of RPL routing protocol in the Internet of Things
H. Y. Adarbah, S. Ahmad
International Journal of Research Publication and Reviews, vol. 3, no. 6, pp. 1479–1487
ELSEWHERE IN THE LAB
Other research areas
AREA 01
Federated & Edge Intelligence
Training and unlearning across distributed clients, with Byzantine robustness and privacy budgets that survive contact with real edge hardware.
Federated learningEdge AIFederated unlearning
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AREA 02
Vehicular Networks & Security
V2X and MANET security: authentication protocols, digital-twin traffic environments, and defences against routing and forwarding attacks.
V2XRPLDigital twin
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AREA 03
AI for Healthcare
Clinical and assistive models built to be checked — ECG arrhythmia detection, breast-ultrasound diagnosis, and multi-sensor elderly-care monitoring.
ECGUltrasoundElderly care
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AREA 04
AI for Education
LLM-based formative feedback and exemplar selection for school mathematics, evaluated for feasibility before deployment.
LLM feedbackMath tutoring
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AREA 05
Wireless Sensor networks
A Wireless Sensor Network (WSN) consists of a spatially distributed collection of dedicated, autonomous devices equipped with sensors to cooperatively monitor physical or environmental conditions. These compact nodes track data—such as temperature, pressure, motion, or acoustics—and leverage radio signals to pass their measurements through the network infrastructure to a central location, known as a base station or sink, where the data is analyzed. Because these networks typically operate in remote or hazardous environments, they rely heavily on low-power, ad-hoc wireless routing protocols and localized battery power to maintain long-term, self-healing communication without human intervention.
AREA 06
Applied Machine Learning & Signal Processing
Signal-level models for sensing and interaction, from sEMG recognition to energy forecasting on constrained devices.
sEMGForecastingSignals
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