Research Assistant, ECE @UW-Madison
mshahid2@wisc.edu

CV

Muhammad Osama Shahid

I got my PhD student in Electrical and Computer Engineering at University of Wisconsin-Madison. I worked at UWConnect lab under the supervision of Prof. Bhuvana Krishnaswamy. My research lies in the areas of edge computing, wireless networks, wireless sensing, distributed systems, and cyber-physical systems. My research focuses on developing next-generation communication systems that enable smart and seamless connectivity for ultra-low power devices. Toward this, I have built intelligent, low-power wireless systems that transition from inflexible hardware-based frameworks to software-based solutions, enabling co-existence of different wireless technologies. In my dissertation, I have leveraged cloud and AI/ML-based frameworks to design high-throughput, scalable, and low-power wireless networks, enabling large-scale connectivity for low-power devices. I interned at Samsung Research America and Qualcomm Technologies during the summers of 2021, 22 and 23 where I worked on the next generation of Wi-Fi to build low power contactless sensing systems that utilize ubiquitous communication signals for opportunistic environmental sensing.

My research works have been published at premier conferences including Sigcomm, NSDI, CoNEXT, Sensys and Nature Communications Engineering.

Education

  • PhD Candidate Electrical and Computer Engineering 2019 – Present, University of Wisconsin-Madison
  • Masters in Electrical and Computer Engineering 2019 – 2022, University of Wisconsin-Madison
  • B.S. Electrical Engineering 2019, Lahore University of Management and Sciences (LUMS)

Awards and Achievements

  • Selected for NSF – Networking Technology and Systems Early-Career Investigators (NeTS-ECI) Workshop
  • Recipient of ECE Wisconsin Distinguished Graduate Fellowship-Schneider (WDGF)
  • Recipient of USENIX NSDI travel grant for 2023 and 2024
  • Recipient of LUMS Merit Scholarship Award, LUMS
  • Recipient of Dean’s Honors List Award, LUMS

Publications

Concurrent Interference Cancellation: Decoding multi-packet collisions in LoRa

ACM Sigcomm ’21

Muhammad Osama Shahid, Millan Philipose, Krishna Chintalapudi, Suman Banerjee, and Bhuvana Krishnaswamy


Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression

USENIX NSDI ’24

Muhammad Osama Shahid, Daniel Koch, Bhuvana Krishnaswamy, Krishna Chintalapudi, Jayaram Raghuram, Suman Banerjee


OpenLoRa: Validating LoRa implementations through an extensible and open-sourced framework

USENIX NSDI’23

Manan Mishra, Daniel Koch, Muhammad Osama Shahid, Bhuvana Krishnaswamy, Krishna Chintalapudi, and Suman Banerjee


BYOG : Multi-Channel, real-time LoRaWAN Gateway testbed using general-purpose Software Defined Radio

ACM CoNEXT ’24

Muhammad Osama Shahid, Bhuvana Krishnaswamy


Metamaterial-based passive analog processor for wireless vibration sensing

Nature Communications Engineering ’24

Zhang, Dajun, Akhil Polamarasetty, Muhammad Osama Shahid, Bhuvana Krishnaswamy, and Chu Ma


Spreading Factor Detection for Low-Cost Adaptive Data Rate in LoRaWAN Gateways

In the proceedings of EnSys, co-located with SenSys ’22

Daniel Jay Koch, Muhammad Osama Shahid, and Bhuvana Krishnaswamy