Avesta Sasan

Avesta Sasan

George Mason University

H-index: 28

North America-United States

About Avesta Sasan

Avesta Sasan, With an exceptional h-index of 28 and a recent h-index of 27 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Deep Learning Hardware, Hardware Security, Applied Machine Learning, Electronic Design Automation, Computer Architecture.

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

Effective Malware Detection for Embedded Computing Systems with Limited Exposure

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach

Hardware trojan detection using machine learning: A tutorial

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion

Gotcha! i know what you are doing on the fpga cloud: Fingerprinting co-located cloud fpga accelerators via measuring communication links

A survey on fhe acceleration

SMOOT: Saliency Guided Mask Optimized Online Training

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization

Avesta Sasan Information

University

Position

Associate Professor at

Citations(all)

2993

Citations(since 2020)

2447

Cited By

1375

hIndex(all)

28

hIndex(since 2020)

27

i10Index(all)

84

i10Index(since 2020)

66

Email

University Profile Page

George Mason University

Google Scholar

View Google Scholar Profile

Avesta Sasan Skills & Research Interests

Deep Learning Hardware

Hardware Security

Applied Machine Learning

Electronic Design Automation

Computer Architecture

Top articles of Avesta Sasan

Title

Journal

Author(s)

Publication Date

Effective Malware Detection for Embedded Computing Systems with Limited Exposure

arXiv preprint arXiv:2404.02344

Sreenitha Kasarapu

Sanket Shukla

Rakibul Hassan

Avesta Sasan

Houman Homayoun

...

2024/4/2

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach

IEEE Transactions on Circuits and Systems I: Regular Papers

Kevin Immanuel Gubbi

Banafsheh Saber Latibari

Muhtasim Alam Chowdhury

Afrooz Jalilzadeh

Erfan Yazdandoost Hamedani

...

2024/2/22

Hardware trojan detection using machine learning: A tutorial

Kevin Immanuel Gubbi

Banafsheh Saber Latibari

Anirudh Srikanth

Tyler Sheaves

Sayed Arash Beheshti-Shirazi

...

2023/4/19

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion

arXiv preprint arXiv:2312.13530

Yu-Zheng Lin

Muntasir Mamun

Muhtasim Alam Chowdhury

Shuyu Cai

Mingyu Zhu

...

2023/12/21

Gotcha! i know what you are doing on the fpga cloud: Fingerprinting co-located cloud fpga accelerators via measuring communication links

Chongzhou Fang

Ning Miao

Han Wang

Jiacheng Zhou

Tyler Sheaves

...

2023/11/15

A survey on fhe acceleration

Banafsheh Saber Latibari

Kevin Immanuel Gubbi

Houman Homayoun

Avesta Sasan

2023/4/14

SMOOT: Saliency Guided Mask Optimized Online Training

arXiv preprint arXiv:2310.00772

Ali Karkehabadi

Avesta Sasan

2023/10/1

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization

IEEE Access

Sayed Aresh Beheshti-Shirazi

Najmeh Nazari

Kevin Immanuel Gubbi

Banafsheh Saber Latibari

Setareh Rafatirad

...

2023/8/11

Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators

Kevin Immanuel Gubbi

Inderpreet Kaur

Abdallah Hashem

Sai Manoj PD

Houman Homayoun

...

2023/8/6

Neuromorphic-enabled security for iot

Soheil Salehi

Tyler Sheaves

Kevin Immanuel Gubbi

Sayed Arash Beheshti

Sai Manoj PD

...

2022/6/19

Adaptive-Gravity: A Defense Against Adversarial Samples

Ali Mirzaeian

Zhi Tian

Sai Manoj PD

Banafsheh S Latibari

Ioannis Savidis

...

2022/4/6

Sequential and Combinational Satisfiability Attacks

Encyclopedia of Cryptography, Security and Privacy

Avesta Sasan

Kimia Zamiri Azar

Hadi Mardani Kamali

S Jajodia

P Samarati

...

2022/1/7

Cad-fsl: Code-aware data generation based few-shot learning for efficient malware detection

Sreenitha Kasarapu

Sanket Shukla

Rakibul Hassan

Avesta Sasan

Houman Homayoun

...

2022/6/6

Silicon validation of LUT-based logic-locked IP cores

Gaurav Kolhe

Tyler Sheaves

Kevin Immanuel Gubbi

Tejas Kadale

Setareh Rafatirad

...

2022/7/10

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis

Tanmoy Chowdhury

Ashkan Vakil

Banafsheh Latibari

Seyed Beheshti

Ali Mirzaeian

...

2022/3

LOCK&ROLL: Deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking

Gaurav Kolhe

Tyler Sheaves

Kevin Immanuel Gubbi

Soheil Salehi

Setareh Rafatirad

...

2022/7/10

Survey of machine learning for electronic design automation

Kevin Immanuel Gubbi

Sayed Aresh Beheshti-Shirazi

Tyler Sheaves

Soheil Salehi

Sai Manoj PD

...

2022/6/6

Breaking the Design and Security Trade-off of Look-up-table–based Obfuscation

ACM Transactions on Design Automation of Electronic Systems (TODAES)

Gaurav Kolhe

Tyler David Sheaves

Hamid Mahmoodi

Setareh Rafatirad

Avesta Sasan

...

2022/6/27

Analysis of the Security Vulnerabilities of 2.5-D and 3-D Integrated Circuits

Vaibhav Venugopal Rao

Avesta Sasan

Ioannis Savidis

2022/4/6

Learning assisted side channel delay test for detection of recycled ics

Ashkan Vakil

Farzad Niknia

Ali Mirzaeian

Avesta Sasan

Naghmeh Karimi

2021/1/18

See List of Professors in Avesta Sasan University(George Mason University)