World's Best Scientists 2026 revealed!
Michael S. Hsiao

Michael S. Hsiao

D-Index & Metrics

Computer Science

D-Index
37
Citations
6325
World Ranking
10688
National Ranking
4468

Electronics and Electrical Engineering

D-Index
37
Citations
6056
World Ranking
5109
National Ranking
1774

Overview

Michael S. Hsiao is affiliated with Virginia Tech in the United States and conducts research at the intersection of computer science and engineering. Their work spans multiple domains, notably focusing on artificial intelligence, civil and structural engineering, computer vision, hardware architecture, and computational theory.

The scientist's research topics reflect a diverse interest in both theoretical and applied areas. Key topics of their work include:

  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • AI-based Problem Solving and Planning
  • Geotechnical Engineering and Soil Stabilization
  • Geotechnical Engineering and Soil Mechanics
  • Geotechnical Engineering and Underground Structures
  • VLSI and Analog Circuit Testing

Hsiao has contributed to various publication venues, demonstrating a multi-disciplinary approach. Frequent venues for their publications are:

  • International Journal of Japanese Sociology
  • Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • TUGraz OPEN Library (Graz University of Technology)
  • arXiv (Cornell University)

The researcher has collaborated with several coauthors on multiple projects, highlighting interdisciplinary and international partnerships. Frequent co-authors include:

  • Yoshimichi Satō
  • Akihide Inaba
  • Soko Aoki
  • Tomohiko Asano
  • Jihey Bae

Among their recent published works are:

  • "Statistical evaluation of pre-bored PC pile behavior under axial compression" (2025), published in Georisk Assessment and Management of Risk for Engineered Systems and Geohazards
  • "ISSUE INFORMATION" (2020), published in International Journal of Japanese Sociology
  • "Issue Information" (2021), published in International Journal of Japanese Sociology
  • "Using Global Structural Relationships of Signals to Accelerate SAT-based Combinational Equivalence Checking" (2020), published in TUGraz OPEN Library (Graz University of Technology)
  • "A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences" (2025), published in arXiv (Cornell University)

Michael S. Hsiao's body of work bridges computer science disciplines such as artificial intelligence and hardware testing with engineering fields related to geotechnical and structural analysis. This combination places their research at a cross-disciplinary frontier addressing both computational and practical engineering challenges.

Best Publications

  • Hardware Trojan Attacks: Threat Analysis and Countermeasures

    Swarup Bhunia;Michael S. Hsiao;Mainak Banga;Seetharam Narasimhan

  • A region based approach for the identification of hardware Trojans

    M. Banga;M.S. Hsiao

  • A Novel Sustained Vector Technique for the Detection of Hardware Trojans

    Mainak Banga;Michael S. Hsiao

  • Denial-of-service attacks on battery-powered mobile computers

    T. Martin;M. Hsiao;Dong Ha;J. Krishnaswami

  • Sequential circuit test generation using dynamic state traversal

    Michael S. Hsiao;Elizabeth M. Rudnick;Janak H. Patel

  • Cognitive Radio and Networking Research at Virginia Tech

    A.B. MacKenzie;J.H. Reed;P. Athanas;C.W. Bostian

  • Protection Against Hardware Trojan Attacks: Towards a Comprehensive Solution

    Swarup Bhunia;Miron Abramovici;Dakshi Agrawal;Paul Bradley

  • Trusted RTL: Trojan detection methodology in pre-silicon designs

    Mainak Banga;Michael S. Hsiao

  • Towards an intrusion detection system for battery exhaustion attacks on mobile computing devices

    D.C. Nash;T.L. Martin;D.S. Ha;M.S. Hsiao

  • Compiler-directed dynamic voltage/frequency scheduling for energy reduction in microprocessors

    Chung-Hsing Hsu;Ulrich Kremer;Michael Hsiao

  • Guided test generation for isolation and detection of embedded trojans in ics

    Mainak Banga;Maheshwar Chandrasekar;Lei Fang;Michael S. Hsiao

  • Compiler-Directed Dynamic Frequency and Voltage Scheduling

    Chung-Hsing Hsu;Ulrich Kremer;Michael Hsiao

  • Interlocking obfuscation for anti-tamper hardware

    Avinash R. Desai;Michael S. Hsiao;Chao Wang;Leyla Nazhandali

  • VITAMIN: Voltage inversion technique to ascertain malicious insertions in ICs

    Mainak Banga;Michael S. Hsiao

  • Fast static compaction algorithms for sequential circuit test vectors

    M.S. Hsiao;E.M. Rudnick;J.H. Patel

  • ALAPTF: a new transition fault model and the ATPG algorithm

    P. Gupta;M.S. Hsiao

  • Efficient sequential atpg for functional rtl circuits

    Liang Zhang;I. Ghosh;M. Hsiao

  • Testing, verification, and diagnosis in the presence of unknowns

    A. Jain;V. Boppana;R. Mukherjee;J. Jain

  • Automatic test generation using genetically-engineered distinguishing sequences

    M.S. Hsiao;E.M. Rudnick;J.H. Patel

  • K2: an estimator for peak sustainable power of VLSI circuits

    Michael S. Hsiao;Elizabeth M. Rudnick;Janak H. Patel

  • Using Non-trivial Logic Implications for Trace Buffer-Based Silicon Debug

    Sandesh Prabhakar;Michael Hsiao

Frequent Co-Authors

Janak H. Patel
Janak H. Patel University of Illinois at Urbana-Champaign
Edward A. Fox
Edward A. Fox Virginia Tech
Jung-Min Park
Jung-Min Park Virginia Tech
Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Dong Sam Ha
Dong Sam Ha Virginia Tech
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
Jeffrey H. Reed
Jeffrey H. Reed Virginia Tech
Luiz A. DaSilva
Luiz A. DaSilva Virginia Tech
Allen B. MacKenzie
Allen B. MacKenzie Tennessee Technological University
Swarup Bhunia
Swarup Bhunia University of Florida

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