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

Michael S. Hsiao

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
6056
World Ranking
5109
National Ranking
1775

Computer Science

D-Index
37
Citations
6325
World Ranking
10686
National Ranking
4468

Michael S. Hsiao publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Michael S. Hsiao sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 234 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Michael S. Hsiao D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Michael S. Hsiao sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related fields and online degree programs. Many students interested in technological problem-solving branch out to specialized disciplines such as engineering, physics, and data science.

For those passionate about sustainability and environmental impact, consider enrolling in an environmental engineering degree. This pathway equips you with skills to tackle global environmental challenges using computational tools and engineering principles.

Mechanical engineering remains a top choice for those drawn to designing and building innovative systems. Pursuing an online degree for mechanical engineering provides the flexibility to study foundational engineering concepts, alongside computational applications, from anywhere in the world.

If you’re curious about the fundamental laws of nature, an online physics bachelor's degree might be the right fit. This degree program frequently overlaps with computer science, especially in areas such as computational modeling and simulations.

Additionally, a data science degree is an excellent route for students aiming to extract valuable insights from large datasets—a critical skill set in today’s digital landscape.

Best Scientists Citing Michael S. Hsiao

Trending Scientists

Recently Published Articles