Outstanding Paper Award and Two Posters at Asilomar Conference 2025

I had the pleasure of presenting two posters at the 2025 59th Asilomar Conference on Signals, Systems, and Computers (Oct 26-29), and I’m delighted to share that one of them received the Outstanding Paper Award (top 10 papers) at the conference!

The award-winning work, Low-Complexity Detection of Signals Under Unknown Bandwidth Constraints, tackles signal detection when the frequency, bandwidth, and time of a transmission are all unknown, a setting where traditional frequency-domain energy detection falls apart. Using a GLRT metric together with a dyadic interval binary search, we reach near-optimal detection at about 0.1% of the computation of exhaustive maximum likelihood, staying consistent and robust across SNRs and bandwidths and beating a U-Net baseline without any training cost. That makes it a practical fit for real-time spectrum sensing in cognitive radio, adversarial communications, radar, and upper mid-band coexistence. You can find the poster Here and the code in our Github Repo.

The second poster, Reconfigurable vs. Specialized Architectures for Wireless Baseband Processing: A Spatial Array Perspective, asks how much flexibility a baseband accelerator can afford. We compare a reconfigurable spatial array against specialized HLS kernels in a 32nm node across FIR, matrix-matrix and matrix-vector multiplication, outer products, and vector magnitude squared. Individually the HLS kernels are more power and area efficient, but once you account for the aggregate of all the kernels a single spatial array wins on both, and it dominates on latency and throughput for compute-intensive workloads like matrix multiplication. You can find the poster Here.

Huge thanks to my advisor Prof. Sundeep Rangan for his guidance, and to my collaborators Ishaan Shivhare, Andrew Hennessee, and Prof. Brandon Reagen on the spatial array work. You can see both posters on the presentation page.