activity
20172021
most citedSEMOUR: A Scripted Emotional Speech Repository for Urdu

11 citations · 18 across the 6 of their papers we have counts for

collaborators

12 papers

cs.SD202111 cited

SEMOUR: A Scripted Emotional Speech Repository for Urdu

Nimra Zaheer, Obaid Ullah Ahmad, Ammar Ahmed +2

Designing reliable Speech Emotion Recognition systems is a complex task that inevitably requires sufficient data for training purposes. Such extensive datasets are currently availa…

eess.SY2021

Edge Augmentation with Controllability Constraints in Directed Laplacian Networks

Waseem Abbas, Mudassir Shabbir, Yasin Yazıcıoglu +1

In this paper, we study the maximum edge augmentation problem in directed Laplacian networks to improve their robustness while preserving lower bounds on their strong structural co…

cs.CC2020

A Simpler NP-Hardness Proof for Familial Graph Compression

Ammar Ahmed, Zohair Raza Hassan, Mudassir Shabbir

This document presents a simpler proof showcasing the NP-hardness of Familial Graph Compression.

eess.SY2020

Interplay Between Resilience and Accuracy in Resilient Vector Consensus in Multi-Agent Networks

Waseem Abbas, Mudassir Shabbir, Jiani Li +1

In this paper, we study the relationship between resilience and accuracy in the resilient distributed multi-dimensional consensus problem. We consider a network of agents, each of…

eess.SY2020

Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing

Yasin Yazicioglu, Mudassir Shabbir, Waseem Abbas +1

We study the strong structural controllability (SSC) of diffusively coupled networks, where the external control inputs are injected to only some nodes, namely the leaders. For suc…

eess.SY2020

Improving Network Robustness through Edge Augmentation While Preserving Strong Structural Controllability

Waseem Abbas, Mudassir Shabbir, Hassan Jaleel +1

In this paper, we consider a network of agents with Laplacian dynamics, and study the problem of improving network robustness by adding a maximum number of edges within the network…