Houman Homayoun

Houman Homayoun

University of California, Davis

H-index: 37

North America-United States

About Houman Homayoun

Houman Homayoun, With an exceptional h-index of 37 and a recent h-index of 28 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Applied Machine Learning, Hardware Security and Trust, Computer Architecture, Cybersecurity, mHealth.

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

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

Effective Malware Detection for Embedded Computing Systems with Limited Exposure

Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey

Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection

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

Heteroscore: Evaluating and mitigating cloud security threats brought by heterogeneity

Hardware trojan detection using machine learning: A tutorial

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

Houman Homayoun Information

University

Position

___

Citations(all)

5724

Citations(since 2020)

3687

Cited By

3374

hIndex(all)

37

hIndex(since 2020)

28

i10Index(all)

171

i10Index(since 2020)

103

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Houman Homayoun Skills & Research Interests

Applied Machine Learning

Hardware Security and Trust

Computer Architecture

Cybersecurity

mHealth

Top articles of Houman Homayoun

Title

Journal

Author(s)

Publication Date

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

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

Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey

Hossein Sayadi

Zhangying He

Hosein Mohammadi Makrani

Houman Homayoun

2024/4

Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection

Journal of Hardware and Systems Security

Zhangying He

Houman Homayoun

Hossein Sayadi

2024/3/15

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

Heteroscore: Evaluating and mitigating cloud security threats brought by heterogeneity

The Network and Distributed System Security Symposium (NDSS)

Chongzhou Fang

Najmeh Nazari

Behnam Omidi

Han Wang

Aditya Puri

...

2023/1

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

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

Leveraging Firmware Reverse Engineering for Stealthy Sensor Attacks via Binary Modification

Sutej Kulkarni

Ryan Tsang

Houman Homayoun

Soheil Salehi

2023/11/6

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

Federated learning with heterogeneous models for on-device malware detection in IoT networks

Sanket Shukla

Setareh Rafatirad

Houman Homayoun

Sai Manoj Pudukottai Dinakarrao

2023/4/17

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

Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification

Jialin Liu

Houman Homayoun

Chongzhou Fang

Ning Miao

Han Wang

2023/10/28

Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care

Elahe Hosseini

Ruijie Fang

Ruoyu Zhang

Setareh Rafatirad

Houman Homayoun

2023/12/5

A survey on fhe acceleration

Banafsheh Saber Latibari

Kevin Immanuel Gubbi

Houman Homayoun

Avesta Sasan

2023/4/14

Don’t Cross Me! Cross-layer System Security

Najmeh Nazari

Chongzhou Fang

Sai Manoj PD

Houman Homayoun

2023/7/9

Large language models for code analysis: Do llms really do their job?

arXiv preprint arXiv:2310.12357

Chongzhou Fang

Ning Miao

Shaurya Srivastav

Jialin Liu

Ruoyu Zhang

...

2023/10/18

Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing

Ruijie Fang

Ruoyu Zhang

Elahe Hosseini

Chongzhou Fang

Setareh Rafatirad

...

2023/12/5

Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification

arXiv preprint arXiv:2304.01990

Jialin Liu

Ning Miao

Chongzhou Fang

Houman Homayoun

Han Wang

2023/4/4

Short: Real-Time Bladder Monitoring by Bio-impedance Analysis to Aid Urinary Incontinence

Ruoyu Zhang

Ruijie Fang

Zhichao Zhang

Elahe Hosseini

Mahdi Orooji

...

2023/6/21

See List of Professors in Houman Homayoun University(University of California, Davis)