Syed Rafay Hasan

Syed Rafay Hasan

Tennessee Tech University

H-index: 18

North America-United States

About Syed Rafay Hasan

Syed Rafay Hasan, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Tennessee Tech University, specializes in the field of Hardware security, Deep learning, Internet of Things, Edge Intelligence.

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

Stain: Stealthy avenues of attacks on horizontally collaborated convolutional neural network inference and their mitigation

DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans

Mitigation of Rowhammer Attack on DDR4 Memory: A Novel Multi-Table Frequent Element Algorithm Based Approach

Integrating Gstreamer with Xilinx's ZCU 104 Edge Platform for Real-Time Intelligent Image Enhancement

Fm-modcomp: Feature map modification and hardware–software co-comparison for secure hardware accelerator-based cnn inference

Enhancing the Security of Collaborative Deep Neural Networks: An Examination of the Effect of Low Pass Filters

2l-3w: 2-level 3-way hardware–software co-verification for the mapping of convolutional neural network (cnn) onto fpga boards

Hardening hardware accelerartor based CNN inference phase against adversarial noises

Syed Rafay Hasan Information

University

Position

Associate Professor

Citations(all)

970

Citations(since 2020)

701

Cited By

507

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

Tennessee Tech University

Google Scholar

View Google Scholar Profile

Syed Rafay Hasan Skills & Research Interests

Hardware security

Deep learning

Internet of Things

Edge Intelligence

Top articles of Syed Rafay Hasan

Title

Journal

Author(s)

Publication Date

Stain: Stealthy avenues of attacks on horizontally collaborated convolutional neural network inference and their mitigation

IEEE Access

Adewale A Adeyemo

Jonathan J Sanderson

Tolulope A Odetola

Faiq Khalid

Syed Rafay Hasan

2023/1/31

DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans

Enahoro Oriero

Faiq Khalid

Hasan Syed

2023/10/29

Mitigation of Rowhammer Attack on DDR4 Memory: A Novel Multi-Table Frequent Element Algorithm Based Approach

Samuel Sylvester

Jonathan Sandersan

Syed Rafay Hasan

2023/8/6

Integrating Gstreamer with Xilinx's ZCU 104 Edge Platform for Real-Time Intelligent Image Enhancement

Jonathan Sanderson

Syed Rafay Hasan

Besma Abidi

Mongi Abidi

2023/8/6

Fm-modcomp: Feature map modification and hardware–software co-comparison for secure hardware accelerator-based cnn inference

Microprocessors and Microsystems

Tolulope A Odetola

Adewale Adeyemo

Faiq Khalid

Syed Rafay Hasan

2023/7/1

Enhancing the Security of Collaborative Deep Neural Networks: An Examination of the Effect of Low Pass Filters

Adewale A Adeyemo

Syed Rafay Hasan

2023/6/5

2l-3w: 2-level 3-way hardware–software co-verification for the mapping of convolutional neural network (cnn) onto fpga boards

SN Computer Science

Tolulope A Odetola

Katie M Groves

Yousufuddin Mohammed

Faiq Khalid

Syed Rafay Hasan

2022/1

Hardening hardware accelerartor based CNN inference phase against adversarial noises

Tolulope A Odetola

Adewale Adeyemo

Syed Rafay Hasan

2022/6/27

Labani: Layer-based noise injection attack on convolutional neural networks

Tolulope A Odetola

Faiq Khalid

Syed Rafay Hasan

2022/6/6

Techniques for Realizing Secure, Resilient and Differentiated 5G Operations

Akram Hakiri

Aniruddha S Gokhale

Yogesh Barve

Valerio Formicola

Shashank Shekhar

...

2022/10/17

Framework to benchmark cnns (fabcnn) for processing real-time hd video streams on fpgas

Travis Sandefur

Syed Rafay Hasan

2022/5/27

Edge Intelligence in Mobile Nodes: Opportunistic Pipeline via 5G D2D for On-site Sensing

Terry N Guo

Hawzhin Mohammed

Syed R Hasan

2022/9/26

Towards enabling dynamic convolution neural network inference for edge intelligence

Adewale Adeyemo

Travis Sandefur

Tolulope A Odetola

Syed Rafay Hasan

2022/5/27

Formal Verification of Fault Isolation and Restoration Algorithms in Smart Grid

Sohaiba Iqbal

Osman Hasan

Syed Rafay Hasan

2022/8/28

A primer on hardware trojans including platform specific attacks and machine learning for detection

Gabriella V Cataloni

Paul S Sawyer

Syed Rafay Hasan

2022/3/26

Compressed Sparse Kernel: Optimization of Pruning for Customized CNNs on FPGAs

Jacob Nelson

Syed Rafay Hasan

2022/8/7

Sowaf: Shuffling of weights and feature maps: A novel hardware intrinsic attack (hia) on convolutional neural network (cnn)

Tolulope A Odetola

Syed Rafay Hasan

2021/5/22

InTrust-IoT: Intelligent Ecosystem based on Power Profiling of Trusted device (s) in IoT for Hardware Trojan Detection

Hawzhin Mohammed

Faiq Khalid

Paul Sawyer

Gabriella Cataloni

Syed Rafay Hasan

2021/10/18

Feshi: Feature map-based stealthy hardware intrinsic attack

IEEE Access

Tolulope A Odetola

Faiq Khalid

Hawzhin Mohammed

Travis C Sandefur

Syed Rafay Hasan

2021/8/16

WORDA: A Winograd Offline-Runtime Decomposition Algorithm for Faster CNN Inference

Jacob Nelson

Tolulope Odetola

Syed Rafay Hasan

2021/8/9

See List of Professors in Syed Rafay Hasan University(Tennessee Tech University)

Co-Authors

H-index: 50
M. Omair Ahmad

M. Omair Ahmad

Concordia University

H-index: 36
Yvon Savaria

Yvon Savaria

École Polytechnique de Montréal

H-index: 24
Claude Thibeault

Claude Thibeault

École de Technologie Supérieure

H-index: 21
Otmane AIT MOHAMED

Otmane AIT MOHAMED

Concordia University

H-index: 8
Zaid Al-bayati

Zaid Al-bayati

McGill University

H-index: 5
Bill Pontikakis

Bill Pontikakis

École Polytechnique de Montréal

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