Omer Khan

Omer Khan

University of Connecticut

H-index: 23

North America-United States

About Omer Khan

Omer Khan, With an exceptional h-index of 23 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Computer Architecture, Parallelism, Security, Privacy, Resiliency.

His recent articles reflect a diverse array of research interests and contributions to the field:

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration

Mergepath-spmm: Parallel sparse matrix-matrix algorithm for graph neural network acceleration

Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency

Hardware Root-of-Trust implementations in Trusted Execution Environments

Accel-gcn: High-performance gpu accelerator design for graph convolution networks

ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes

Characterization of timing-based software side-channel attacks and mitigations on network-on-chip hardware

Omer Khan Information

University

Position

Associate Professor

Citations(all)

1944

Citations(since 2020)

734

Cited By

1520

hIndex(all)

23

hIndex(since 2020)

15

i10Index(all)

54

i10Index(since 2020)

19

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Omer Khan Skills & Research Interests

Computer Architecture

Parallelism

Security

Privacy

Resiliency

Top articles of Omer Khan

Title

Journal

Author(s)

Publication Date

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

Hongwu Peng

Xi Xie

Kaustubh Shivdikar

Md Amit Hasan

Jiahui Zhao

...

2024/4/27

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration

Deniz Gurevin

Mohsin Shan

Shaoyi Huang

MD Amit Hasan

Caiwen Ding

...

2024/3/2

Mergepath-spmm: Parallel sparse matrix-matrix algorithm for graph neural network acceleration

Mohsin Shan

Deniz Gurevin

Jared Nye

Caiwen Ding

Omer Khan

2023/4/23

Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency

IEEE Computer Architecture Letters

Deniz Gurevin

Caiwen Ding

Omer Khan

2023/12/7

Hardware Root-of-Trust implementations in Trusted Execution Environments

Cryptology ePrint Archive, Paper 2023/251

Usman Ali

Hamza Omar

Chujiao Ma

Vaibhav Garg

Omar Khan

2023

Accel-gcn: High-performance gpu accelerator design for graph convolution networks

Xi Xie*

Hongwu Peng*

Amit Hasan

Shaoyi Huang

Jiahui Zhao

...

2023/10/28

ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes

ACM Transactions on Architecture and Code Optimization

Sheikh Abdul Rasheed Sahni

Hamza Omar

Usman Ali

Omar Khan

2023

Characterization of timing-based software side-channel attacks and mitigations on network-on-chip hardware

ACM Journal on Emerging Technologies in Computing Systems

Usman Ali

Sheikh Abdul Rasheed Sahni

Omer Khan

2023/6/21

Secure Remote Attestation with Strong Key Insulation Guarantees

IEEE Transactions on Computers

Deniz Gurevin

Chenglu Jin

Phuong Ha Nguyen

Omer Khan

Marten van Dijk

2023/6/29

Maxk-gnn: Towards theoretical speed limits for accelerating graph neural networks training

Hongwu Peng

Xi Xie

Kaustubh Shivdikar

MD Amit Hasan

Jiahui Zhao

...

2024/4

SSE: Security service engines to accelerate enclave performance in secure multicore processors

IEEE Computer Architecture Letters

Jared Nye

Omer Khan

2022/9/27

CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM

Yixuan Luo*

Payman Behnam*

Kiran Thorat

Zhuo Liu

Hongwu Peng

...

2022/10/23

Protecting On-Chip Data Access Against Timing-Based Side-Channel Attacks on Multicores

Usman Ali

Abdul Rasheed Sahni

Omer Khan

2022

MultiCon: An Efficient Timing-based Side Channel Attack on Shared Memory Multicores

Usman Ali

Omer Khan

2022

Characterization of mitigation schemes against timing-based side-channel attacks on PCIe hardware

Usman Ali

Salman Khaliq

Omer Khan

2022

Towards Real-Time Temporal Graph Learning

Deniz Gurevin

Mohsin Shan

Tong Geng

Weiwen Jiang

Caiwen Ding

...

2022/9/11

HD-CPS: Hardware-assisted Drift-aware Concurrent Priority Scheduler for Shared Memory Multicores

Mohsin Shan

Omer Khan

2022/4/2

Towards sparsification of graph neural networks

Hongwu Peng

Deniz Gurevin

Shaoyi Huang

Tong Geng

Weiwen Jiang

...

2022/9/11

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond

Weiwen Jiang Zhirui Hu

Jinyang Li

Zhenyu Pan

Shanglin Zhou

Lei Yang

...

2022

A performance predictor for implementation selection of parallelized static and temporal graph algorithms

Concurrency and Computation: Practice and Experience

Akif Rehman

Masab Ahmad

Omer Khan

2022/1/25

See List of Professors in Omer Khan University(University of Connecticut)

Co-Authors

H-index: 107
Srinivas Devadas

Srinivas Devadas

Massachusetts Institute of Technology

H-index: 55
Sandip Kundu

Sandip Kundu

University of Massachusetts Amherst

H-index: 36
Christopher W. Fletcher

Christopher W. Fletcher

University of Illinois at Urbana-Champaign

H-index: 36
Ling Ren

Ling Ren

University of Illinois at Urbana-Champaign

H-index: 26
Caiwen Ding

Caiwen Ding

University of Connecticut

H-index: 18
Pengju Ren

Pengju Ren

Xi'an Jiaotong University

academic-engine