papers

Publications (32)

eess.SP2020

Towards Designing Systems with Large Number of Antennas for Range Extension in Ground-to-Air Communications

Haneya Naeem Qureshi, Ali Imran

Providing broadband connectivity to airborne systems using ground based cellular networks is a promising solution as it offers several advantages over satellite-based solutions. Ho…

cs.NI2020

A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters

Joel Shodamola, Usama Masood, Marvin Manalastas +1

Current LTE network is faced with a plethora of Configuration and Optimization Parameters (COPs), both hard and soft, that are adjusted manually to manage the network and provide b…

physics.app-ph2022

Charge Crowding in Graphene-Silicon Diodes

Muhammad Abid Anwar, Munir Ali, Dong Pu +12

The performance of nanoscale electronic devices based on a two-three dimensional (2D-3D) interface is significantly affected by the electrical contacts that interconnect these mate…

cs.NI2024

From Simulators to Digital Twins for Enabling Emerging Cellular Networks: A Tutorial and Survey

Marvin Manalastas, Muhammad Umar Bin Farooq, Syed Muhammad Asad Zaidi +3

Simulators are indispensable parts of the research and development necessary to advance countless industries, including cellular networks. With simulators, the evaluation, analysis…

cs.SD2024

An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19

Tabish Saeed, Aneeqa Ijaz, Ismail Sadiq +3

Cough-based diagnosis for Respiratory Diseases (RDs) using Artificial Intelligence (AI) has attracted considerable attention, yet many existing studies overlook confounding variabl…

cs.DC2025

OptiNIC: A Resilient and Tail-Optimal RDMA NIC for Distributed ML Workloads

Ertza Warraich, Ali Imran, Annus Zulfiqar +3

As distributed machine learning (ML) workloads scale to thousands of GPUs connected by high-speed interconnects, tail latency in collective communication has become a major bottlen…