Expertini Research Research

Browse Research Papers

286+ open-access research outputs.

✕ Clear
🔍 adarsh krishnamurthy 📂 Computer Science
Showing 286 results for "adarsh krishnamurthy" in Computer Science
Computer Science Preprint PDF DOI

Do E-Scooter Speed Governance Policies Reduce Harsh Acceleration and Deceleration? Evidence from 19.5 Million Trips Around a Regulatory Ban

Seongjin Choi, Sunbin Yoo, Sugie Lee · 2026

Do e-scooter speed governance policies yield behavioral safety gains beyond the mechanical cap they impose? A firmware ceiling mechanically prevents speeding, but whether the same riders also generate…

Read Paper →
Computer Science Preprint PDF DOI

Prime-Field PINI: Machine-Checked Composition Theorems for Post-Quantum NTT Masking

Ray Iskander, Khaled Kirah · 2026

This is Paper 6 of a series of formally-verified analyses of masked NTT hardware for post-quantum cryptography; Paper 1 [1] established structural dependency analysis of the QANARY platform, and Paper…

Read Paper →
Computer Science Preprint PDF DOI

Machine-Checked Cardinality Bounds for Masked Barrett Reduction: A 1-Bit Side-Channel Leakage Barrier in Post-Quantum Cryptographic Hardware

Ray Iskander, Khaled Kirah · 2026

Barrett reduction is the nonlinear core of every practical NTT-based post-quantum cryptography implementation. Existing composition frameworks (ISW, t-SNI, PINI, DOM) address Boolean masking over GF(2…

Read Paper →
Computer Science Preprint PDF DOI

Entrywise Low-Rank Approximation and Matrix $p \rightarrow q$ Norms via Global Correlation Rounding

Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins · 2026

Given a matrix $A$, the goal of the entrywise low-rank approximation problem is to find $\operatorname{argmin} \|A-B\|_p$ over all rank-$k$ matrices $B$, where $\| \cdot \|_p$ is the entrywise $\ell_p…

Read Paper →
Computer Science Preprint PDF DOI

Fresh Masking Makes NTT Pipelines Composable: Machine-Checked Proofs for Arithmetic Masking in PQC Hardware

Ray Iskander, Khaled Kirah · 2026

Post-quantum cryptographic (PQC) accelerators for ML-KEM (FIPS 203) and ML-DSA (FIPS 204) rely on pipelined Number Theoretic Transform (NTT) stages over $\mathbb{Z}_q$. Our prior work established stru…

Read Paper →
Computer Science Preprint PDF DOI

From Finite Enumeration to Universal Proof: Ring-Theoretic Foundations for PQC Hardware Masking Verification

Ray Iskander, Khaled Kirah · 2026

Formal verification of masking in post-quantum cryptographic (PQC) hardware relies on SMT solvers over finite domains. Our prior work established structural dependency analysis at scale [1] and quanti…

Read Paper →
Computer Science Preprint PDF DOI

End-to-End Performance of Video Streaming With MPEG-DASH Over Satellite 5G IAB Networks

Muhammad Adeel Zahid, Ekram Hossain, Peng Hu · 2026

We present an end-to-end performance evaluation of MPEG-DASH video streaming over a Low-Earth Orbit (LEO) satellite-based 5G Integrated Access and Backhaul (IAB) network. Our objective is to investiga…

Read Paper →
Computer Science Preprint PDF DOI

Structural Dependency Analysis for Masked NTT Hardware: Scalable Pre-Silicon Verification of Post-Quantum Cryptographic Accelerators

Ray Iskander, Khaled Kirah · 2026

Post-quantum cryptographic (PQC) accelerators implementing ML-KEM (FIPS 203) and ML-DSA (FIPS 204) require side-channel resistance evidence for FIPS 140-3 certification. However, exact masking-verific…

Read Paper →
Computer Science Preprint PDF DOI

Toward a Uniform Algorithm and Uniform Reduction for Constraint Problems

Libor Barto, Maximilian Hadek, Dmitriy Zhuk · 2026

We develop a unified framework to characterize the power of higher-level algorithms for the constraint satisfaction problem (CSP), such as $k$-consistency, the Sherali-Adams LP hierarchy, and the affi…

Read Paper →
Computer Science Preprint PDF DOI

Partial Number Theoretic Transform Masking in Post-Quantum Cryptography (PQC) Hardware: A Security Margin Analysis

Ray Iskander, Khaled Kirah · 2026

Adams Bridge, a hardware accelerator for ML-DSA and ML-KEM designed for the Caliptra root of trust, masks 1 of its Inverse Number Theoretic Transform (INTT) layers and relies on shuffling for the rema…

Read Paper →
Computer Science Preprint PDF DOI

A Strong Linear Programming Relaxation for Weighted Tree Augmentation

Vincent Cohen-Addad, Marina Drygala, Nathan Klein, Ola Svensson · 2026

The Weighted Tree Augmentation Problem (WTAP) is a fundamental network design problem where the goal is to find a minimum-cost set of additional edges (links) to make an input tree 2-edge-connected. W…

Read Paper →
Computer Science Preprint PDF DOI

Needle in a Haystack: Tracking UAVs from Massive Noise in Real-World 5G-A Base Station Data

Chengzhen Meng, Chenming He, Yidong Jiang, Xiaoran Fan, Dequan Wang, Lingyu Wang, Jianmin Ji, Yanyong Zhang · 2026

The potential usage of UAVs in daily life has made monitoring them essential. However, existing systems for monitoring UAVs typically rely on cameras, LiDARs, or radars, whose limited sensing range or…

Read Paper →
Computer Science Preprint PDF DOI

Joint Detection and Identification for Scalable Control of Nanorobot Swarms under Harsh Communication Constraints

Wafa Labidi, Holger Boche, Christian Deppe, Marc Geitz · 2026

The coordination of large populations of highly constrained devices, such as micro- and nanoscale agents in biomedical applications, poses fundamental challenges to classical communication paradigms. …

Read Paper →
Computer Science Preprint PDF DOI

PerturbationDrive: A Framework for Perturbation-Based Testing of ADAS

Hannes Leonhard, Stefano Carlo Lambertenghi, Andrea Stocco · 2026

Advanced driver assistance systems (ADAS) often rely on deep neural networks to interpret driving images and support vehicle control. Although reliable under nominal conditions, these systems remain v…

Read Paper →
Computer Science Preprint PDF DOI

DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression

Bingzhou Li, Tao Huang · 2026

Omnimodal large language models (OmniLLMs) jointly process audio and visual streams, but the resulting long multimodal token sequences make inference prohibitively expensive. Existing compression meth…

Read Paper →
Computer Science Preprint PDF DOI

MIRO: Multi-radar Identity and Ranging for Occupational Safety

Tirthankar Halder, Argha Sen, Swadhin Pradhan, Rijurekha Sen, Sandip Chakraborty · 2026

Occupational exposure to airborne particulate matter (PM) poses a severe health risk in open industrial workspaces such as stonecutting yards. Conventional monitoring solutions such as wearable PM sen…

Read Paper →
Computer Science Preprint PDF DOI

ADAS-TO: A Large-Scale Multimodal Naturalistic Dataset and Empirical Characterization of Human Takeovers during ADAS Engagement

Yuhang Wang, Yiyao Xu, Jingran Sun, Hao Zhou · 2026

Takeovers remain a key safety vulnerability in production ADAS, yet existing public resources rarely provide takeover-centered, real-world data. We present ADAS-TO, the first large-scale naturalistic …

Read Paper →
Computer Science Preprint PDF DOI

Analysis of Proactive Uncoordinated Techniques to Mitigate Interference in FMCW Automotive Radars

Alessandro Bazzi, Francesco Miccoli, Fabrizio Cuccoli, Luca Facheris, Vincent Martinez · 2026

Modern vehicles increasingly rely on advanced driver-assistance systems (ADAS), with radars playing a key role due to their cost-effectiveness and reliable performance. However, the growing number of …

Read Paper →
Computer Science Preprint PDF DOI

A simple Path-based LP Relaxation for Directed Steiner Tree

Kanstantsin Pashkovich, Marta Pozzi, Laura Sanita · 2026

We study the Directed Steiner Tree (DST) problem in layered graphs through a simple path-based linear programming relaxation. This relaxation achieves an integrality gap of O(l log k), where k is the …

Read Paper →
Computer Science Preprint PDF DOI

DARS: Dysarthria-Aware Rhythm-Style Synthesis for ASR Enhancement

Minghui Wu, Xueling Liu, Jiahuan Fan, Haitao Tang, Yanyong Zhang, Yue Zhang · 2026

Dysarthric speech exhibits abnormal prosody and significant speaker variability, presenting persistent challenges for automatic speech recognition (ASR). While text-to-speech (TTS)-based data augmenta…

Read Paper →
Page 1 of 15 Next →