Ph.D. student at Northeastern University
I build wearable and wireless systems that help devices understand the world around them.
I am a Ph.D. student in Computer Engineering at Northeastern University, working in the Spatial Intelligence Research Group (SINRG) with Prof. Mallesham Dasari. My research is at the intersection of wearable computing and wireless sensing, with a broad interest in spatial intelligence: building systems that help everyday devices understand and interact with the physical world around them.
I enjoy working across the full stack, from hardware and embedded systems to wireless networking, signal processing, and machine learning. I am especially drawn to problems where careful systems design can make intelligent sensing practical on small, low-power devices, and to applications that have real impact on people.
Before my Ph.D., I earned a B.S. in Electrical & Computer Engineering from Norwich University (minors in Mathematics and Computer Science), where I was named Student Engineer of the Year and served as President of Eta Kappa Nu.
I am always open to new research collaborations. If our interests overlap, feel free to reach out at khalaf.m@northeastern.edu.
An archived update, retained here as part of my research timeline.
Sensing the world with smaller, smarter devices.
Measuring and modeling how XR and AI glasses use the network, including traffic patterns, energy cost, and latency across BLE, Wi-Fi, and 5G, to inform system and protocol design.
Sensing modalities that fit a wearable's power envelope, including capacitive eye tracking that replaces always-on cameras for continuous, privacy-preserving spatial inference.
Delivering spatially rich media (3D scenes, immersive content) under real network conditions using edge computation and adaptive algorithms.
Wearable systems, sensing, and applied machine learning.
Updated October 2026.
Broad research topics only. Manuscript titles, authors, venues, and materials are withheld during review.
Places I’ve shared and discussed my work.
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From the hardware to the network.
In the Spatial Intelligence Research Group, I work across embedded systems, wireless networking, signal processing, and machine learning.
My wearable research examines traffic patterns, energy use, and latency in XR and AI glasses.
Occasional short writeups on things I am building and measuring.
Python, Go, C/C++, MATLAB, Verilog/VHDL, R, Bash
PyTorch, TensorFlow, Transformers, scikit-learn, NumPy
Wi-Fi, BLE, 5G, RF/Antenna, Wireshark, TCP/IP
ESP32, MSP430, Arduino, Raspberry Pi, SPI/I2C/UART
AWS, Azure, Terraform, Docker, Kubernetes, Ansible
PostgreSQL, MySQL, REST APIs, Linux administration