Recent Publications

Listed below are recent publications (publications from 2018 to now). For a comprehensive list, visit our "All Publications” page.

 

Journal Articles

   D.L. MacFarlane and M.A. Thornton, “Higher-radix Quantum Photonic Informatics in Quantum Photonic Circuits,” Journal of Multiple-Valued Logic and Soft Computing (to appear).
   C. Hong, W. Chen, X. Wen, T.W. Manikas, P. Gui, and M.A. Thornton, “Controller Area Network (CAN) Bus Transceiver with Authentication Support and Enhanced Rail Converters,” Chips, 2024.
   M. A. Taylor, A. Sinha, E. C. Larson and M. A. Thornton, “General Process Detection Through Side Channel Characterization,” Journal of Cyber Security Technology, 2024.
   C. A. Harper, M. A. Thornton, and E. C. Larson, “Automatic Modulation Classification with Deep Neural Networks,” Electronics, 2023.
   H. Shahoei, I. G. Achu, E. J. Stewart, U. Tariq, W. V. Oxford, M. A. Thornton, and D. L. MacFarlane, “Silicon Photonics 2×2 Trench Coupler Design and Foundry Fabrication,” Applied Optics, 2022.
  H. Tian, X. Jiang, F. Trozzi, S. Xiao, E. C. Larson, and P. Tao, “Explore Protein Conformational Space With Variational Autoencoder,” Journal on Frontiers in Molecular Biosciences, section Biological Modeling and Simulation (Frontiers), (November 2021), doi.org/10.3389/fmolb.2021.781635.
  Y. Wang, J. Dai, T. Morgan, M. Elsaid, A. Garbens, X. Qu, R. Steinberg, J. Gahan, and E. C. Larson, “Evaluating Robotic-Assisted Surgery Training Videos with Multi-task Convolutional Neural Networks,” Journal of Robotic Surgery (JORS), (2021), doi: 10.1007/s11701-021-01316-2.
  M. Makos, N. Verma, E. C. Larson, and E. Kraka, “Generative Adversarial Networks for Transition State Geometry Prediction,” The Journal of Chemical Physics, 155, 024116 (2021), doi.org/10.1063/5.0055094.
  R. Srinivas, N. Verma, E. Kraka, and E. C. Larson, “Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering,” Journal of Chemical Information and Modeling, Vol. 61, Issue 5, pp. 2159-2174, (May 2021), doi: 10.1021/acs.jcim.0c01355.
  N. Verma, X. Qu, F. Trozzi, M. Elsaied, N. Karki, P. Tao, B. Zoltowski, E. C. Larson, and E. Kraka, “SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction,” International Journal of Molecular Sciences, Vol. 22, Issue 3, Article 1392, (2021), doi: 10.3390/ijms22031392..
  J. Wilson, S. Nair, S. Scielzo, and E. C. Larson, “Objective Measures of Cognitive Load Using Deep Multi-Modal Learning: A Use-Case in Aviation,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 5, Issue 1, Article 40, 35 pages, (March 2021), doi: 10.1145/3448111.
  S. Alhelaly, J. Dworak, K. Nepal, T. Manikas, P. Gui and A. L. Crouch, "3D Ring Oscillator Based Test Structures to Detect a Trojan Die in a 3D Die Stack in the Presence of Process Variations," in IEEE Transactions on Emerging Topics in Computing, Vol. 9, Vo. 2, pp. 774-786, (April-June 2021), doi: 10.1109/TETC.2020.2984162.
  X. Ding and E. C. Larson, “Incorporating Uncertainties in Student Response Modeling by Loss Function Regularization,” Journal of Neurocomputing, Vol. 409, pp. 74-82, (October 2020).
  J. Wilson, S. Nair, S. Scielzo, and E. C. Larson, “Automatic Gaze Classification for Aviators: Using Multi-task Convolutional Networks as a Proxy for Flight Instructor Observation,” International Journal of Aviation, Aeronautics, and Aerospace, Vol. 7, Issue 3, Article 7, (2020).
  X. Ding, Z. Raziei, E. C. Larson, E. Olinick, P. Krueger, and M. Hahsler, “Swapped Face Detection using Deep Learning and Subjective Assessment,” EURASIP Journal on Information Security, (May 2020), doi:10.1186/s13635-020-00109-8.
  ,” IEEE Transactions on VLSI, Vol. 28, Issue 1, pp. 12–22, (January 2020), (ieeexplore pre-print access, August 12, 2019), doi:10.1109/TVLSI.2019.2931478.A 2.56 Gb/s Serial Wireline Transceiver that Supports an Auxiliary Channel in 65-nm CMOSX. Wang, T. Liu, M. A. Thornton, and P. Gui, “
  ,” Journal of Electronic Testing: Theory and Applications (JETTA), (December 2019)..Repurposing FPGAs for Tester Design to Enhance Field-Testing in a 3D StackY. Sun, F. Zhang, H. Jiang, K. Nepal, J. Dworak, T. W. Manikas, and R. I. Bahar, “
  ,” ACM Journal on Emerging Technologies in Computing Systems, Vol. 16, No. 1, Article 3, 21 pages, (October 2019).Higher Dimension Quantum Entanglement GeneratorsK. N. Smith and M. A. Thornton, “
  J. M. Medellin and M. A. Thornton, “Consideration of Quality Attribute Tradeoffs of the Blockchain Pattern in the Software Development Process,” Annals of Emerging Technologies in Computing, Vol. 3, No. 4, pp. 15–27, (October 2019).
 

,” Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 3, No. 2, pp. 45-1 - 45-22, (June 2019).Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural NetworksT. Giallanza, T. Siems, E. Sharp, E. Gabrielsen, I. Johnson, M. A. Thornton, and E. C. Larson, “
  ,” Journal of Applied Logics, Vol. 5, Issue 9, pp. 1781-1798, (December 2018). Higher-Radix Chrestenson Gates for Photonic Quantum ComputationK. N. Smith, T. P. LaFave Jr., D. L. MacFarlane, and M. A. Thornton, “
  ,” IEEE Journal of Biomedical and Health Informatics, Vol. 23, No. 6, pp. 2603-2610, (November 2018).Measuring Oxygen Saturation using Convolutional Neural Networks on SmartphonesX. Ding, D. Nassehi, and E. C. Larson, “

Books, Book Chapters and Encyclopedia Articles

   

(pp. 28). Newcastle upon Tyne: Cambridge Scholars Publishing, Bernd Steinbach (Ed.), 2022.Advances in the Boolean DomainD. K. Houngninou, M. A. Thornton and D. M. Miller, “On Computing the Reed-Muller Spectrum/Algebraic Normal Form for Cryptography and Switching Theory,” Chapter 1 in

   

(pp. 28). Newcastle upon Tyne: Cambridge Scholars Publishing, Bernd Steinbach (Ed.), 2022.Advances in the Boolean DomainM. A. Thornton, D. K. Houngninou and D. M. Miller, “Extracting the Reed-Muller Spectrum/Algebraic Normal Form from a Circuit Specification,” Chapter 2 in

   

, 3rd Edition, S. Jajodia, P. Samarati, and M. Yung, Editors, Springer, Berlin, Heidelberg, May 2021, (first online February 7, 2021), doi: 10.1007/978-3-642-27739-9_783-2.Encyclopedia of Cryptography, Security and PrivacyM. A. Thornton, “Keystroke Dynamics,” Article in the

Conferences

 

W. Chen, C. Hong, X. Wen, P. Gui, and M. A. Thornton, “Controller Area Network (CAN) Bus Transceiver with Enhanced Rail Converter,” IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2024.
 

S. Gibbs, V. Tanner, E. Larson, S. Scielzo, A. Abraham, “Towards a Real-Time Model of Trust in Human-Machine Team Paradigms,” NTSA Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), 2024.
 

J. M. Henderson, E. R. Henderson, C. A. Harper, H. Shahoei, W. V. Oxford, E. C. Larson, D. L. MacFarlane, and M. A. Thornton, “A Photonic Physically Unclonable Function’s Resilience to Multiple-Valued Machine Learning Attacks,” IEEE Symposium on Multiple-Valued Logic (ISMVL), 2024.
 

E. R. Henderson, J. M. Henderson, W. V. Oxford, and M. A. Thornton, “Automated Quantum Circuit Generation for Computing Inverse Hash Functions,” SPIE Proceedings 13208, DCS24 SPIE Quantum Information Science, Sensing, and Computation XVI, 2024.
 

D. L. MacFarlane, A. Helmy, H. Shahoei, T. LaFave, M. A. Thornton, E. Stewart, and W. V. Oxford, “Towards a Photonic Integrated Circuit Realization of Polarization-Encoded Qubits,” SPIE Proceedings Volume 13208, DCS24 SPIE Quantum Information Science, Sensing, and Computation XVI, 2024.
 

E. R. Henderson, J. M. Henderson, H. Shahoei, W. V. Oxford, E. C. Larson, D. L. MacFarlane, and M. A. Thornton, “Designing a Photonic Physically Unclonable Function having Resilience to Machine Learning Attacks,” SPIE Proceedings Volume 13208, DCS24 SPIE Quantum Information Science, Sensing, and Computation XVI, 2024.
 

C. A. Harper, M. A. Thornton, and E. C. Larson, “Learnable Statistical Moments Pooling for Automatic Modulation Classification,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
 

M. Lee, C. A. Harper, W. Flinchbaugh, E. C. Larson, and M. A. Thornton, “Impacts of Synthetically Generated Data on Trackformer-based Multi-object Tracking,” IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2023.
 

J. Sylvester, M. Lee, D. C. Ellis, M. A. Thornton, and E. C. Larson, “Using Time Series Clustering to Inform Multimodal CNN Architectures,” IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2023.
 

M. A. Thornton, W. V. Oxford, J. Gable, J. Sylvester, M. Lee, E. C. Larson, and M. A. Thornton, “Assessing Random Bit Generator Quality with Granger Causality Extensions,” International Cryptographic Modules Conference (ICMC), 2023.
 

D. L. MacFarlane, H. Shahoei, I. G. Achu, E. Stewart, W. V. Oxford, and M. A. Thornton, “Multiple-Valued Logic Physically Unclonable Function in Photonic Integrated Circuits,” IEEE Symposium on Multiple-Valued Logic (ISMVL), 2023.
 

S. Gibbs, M. A. Thornton, and D. L. Young, “City Scale Autonomy Learning,” SPIE 12525, Geospatial Informatics XIII, 2023.
 

A. Sinha, E. R. Henderson, J. M. Henderson, E. C. Larson, and M. A. Thornton, “A Programmable True Random Number Generator using Commercial Quantum Computers,” SPIE 12517, Quantum Information Science, Sensing, and Computation XV, 2023.
 

J. M. Henderson, E. R. Henderson, A. Sinha, M. A. Thornton, and D. M. Miller, “Automated Quantum Oracle Synthesis with a Minimal Number of Qubits,” SPIE 12517, Quantum Information Science, Sensing, and Computation XV, 2023.
 

S. Gibbs, M. A. Thornton, and D. L. Young, “Adding RF Situational Awareness to Robotic Simulation Systems,” SPIE 12540, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure, 2023.
 

C. Peters and M. A. Thornton, “Cooperative UAS Geolocation of Emitters with Multi-Sensor-bounded Timing and Localization Error,” IEEE Aerospace Conference (AERO), 2023.
 

Z. Wolf, E. C. Larson, and M. A. Thornton, “Data Leakage in Isolated Virtualized Enterprise Computing Systems,” International Conference on Information Systems Security and Privacy (ICISSP), 2023.
 

A. Sinha, E. R. Henderson, J. M. Henderson, and M. A. Thornton, “Automated Quantum Memory Compilation with Improved Dynamic Range,” International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), International Workshop on Quantum Computing software (QSC22), 2022.
 

G. Sammit, Z. Wu, Y. Wang, Z. Wu, A. Kamata, J. Nese, and E. C. Larson, “Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-vectors,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), 2022.
 

N. Crothers, Y. Sinha, S. Scielzo, and E. C. Larson, “Real-Time Situation Awareness Assessment for Pilots via Machine Learning: Constructing an Automated Classification System,” Modeling & Simulation (MODSIM) World, 2022.
 

D. L. Young, M. Bigham, M. Bradbury, E. C. Larson, and M. A. Thornton, “SMU-DDI Cyber Autonomy Range,” IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2022.
 

R. Oshana, M. Caraman, N. Srirama, and M. A. Thornton, “An Embedded Malware Detection System using a Support Vector Machine,” International Conference on Embedded Systems, Cyber-physical Systems and Applications (ESCS) in the World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE), proceedings published in Springer Nature-Transactions on Computational Science and Computational Intelligence, 2022.
 

R. Oshana, M. Caraman, and M. A. Thornton, “A Side Channel Attack Detection System using Processor Core Events and a Support Vector Machine,” IEEE Mediterranean Conference on Embedded Computing (MECO), 2022.
 

X. Wen, T. Fu, J. Liu, R. Hua, M. A. Thornton, and P. Gui. “Controller Area Network (CAN) Bus Transceiver with Authentication Support,” IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
 

A. Sinha and M. A. Thornton, “Quantum Multiple Valued Kernel Circuits,” IEEE International Symposium on Multiple-Valued Logic (ISMVL), 2022.
 

M. A. Taylor, E. C. Larson, and M. A. Thornton, “General Process Detection Through Physical Side Channel Characterization,” IEEE Systems Conference (SYSCON), 2022.

Workshop

  D. K. Houngninou, D. M. Miller, and M. A. Thornton, “ANF Computation of Cryptographic Switching Functions using a Netlist Representation,” Reed-Muller Workshop (RM 2021), Proceedings of the Workshop on Applications of the Reed-Muller Expansion in Circuit Design (RMW), pp. 1-11, May 10, 2021 (unpublished workshop proceedings, abstract provided only).
  K. N. Smith, J. Henderson, and M. A. Thornton, “Rotation Primitives in Quantum Compilation,” International Workshop on Quantum Compilation (IWQC, in conjunction with IEEE/ACM ICCAD), November 7, 2019 (refereed abstract with presentation).
  M. A. Thornton and K. N. Smith, “Fixed Polarity Pascal Transforms with Computer Algebra Applications,” Reed-Muller Workshop (RM 2019), Proceedings of the Workshop on Applications of the Reed-Muller Expansion in Circuit Design (RMW), pp. 34-45, May 24, 2019 (unpublished workshop proceedings, abstract provided only).
  Y. Sun, H. Jiang, L. Ramakrishnan, M. Segal, J. Dworak, K. Nepal, T. W. Manikas, and R. I. Bahar, “Scan Segment Disable for Capture Power Reduction for Low-Power Decompressed Patterns,” 2019 IEEE North Atlantic Test Workshop (NATW), Essex, VT, USA, May 2019. 
  K. N. Smith, M. A. Thornton, D. L. MacFarlane, T. P. LaFave, Jr., and W. V. Oxford, “Automated Mapping Methods for the IBM Transmon Devices,” International Workshop on Post-Binary ULSI Systems (ULSI-WS), pp. 12-17, May 15, 2018.
 

E. Gabrielsen and M. A. Thornton, “Minimizing Ancilla and Garbage Qubits in Reversible Functions,” Southwest Quantum Information and Technology Annual SQuInT Workshop (SQuInT), February 22-24, 2018.
  K. N. Smith, M. A. Thornton, D. L. MacFarlane, T. P. LaFave, Jr., and W. V. Oxford, “Single Qubit Quantum Ring Structures and Applications,” Southwest Quantum Information and Technology Annual SQuInT Workshop (SQuInT), February 22-24, 2018 (refereed abstract).

Articles, Interviews, Opinion Pieces and Media

  Raytheon Technologies, Inc. Press Release, Raytheon Intelligence and Space Partners with Virginia Tech and Southern Methodist University on Artificial Intelligence and Machine Learning Research, February 23, 2021, also SMU press release, numerous web-based venues including: executivbiz.com, newsbreak.com, The Southwest Virginia Sun, The Dallas Express.
  CBS DFW channel 11 (web edition), SMU Lands $1M For Research Aimed At Cybersecurity, Quantum Computing Breakthroughs, December 8, 2020, from SMU press release. Also, numerous other online articles resulted including those posted at enterpriseai.news, insidequantumtechnology.com, newsbreak.com, sciencex.com, quantumzeitgeist.com, techtransfercentral.com, dallasinnovates.com, insidehpc.com, newlocker.com, December 2020 SMU Lyle Insider magazine, and others.
 

Houston Chronicle (print edition), Hypersonic A&M, Opinion Editor, October 30, 2020, interviewed and quoted regarding quantum computing research in the U.S. and at SMU, hpcwire.com and others.
 

Software Developed by SMU Stops Ransomware Attacks, Communications of the ACM (online edition), May 15, 2020.
  Communications of the ACM (CACM), Tech News (online edition), Software Developed by SMU Stops Ransomware Attacks, online version of the CACM magazine by ACM, May 15, 2020.
 

KRLD interview of M. A. Thornton, Deason Institute’s sensor-based ransomware detection research, aired at 6:52 a.m., https://app.radio.com/htntJ0D0t6, May 14, 2020.
  The Daily Sentinel (Nacodoches, TX daily newspaper), SMU develops anti-ransomware program, authored by AP, staff writer Josh Edwards, and SMU office of public relations, quotes from M. A. Taylor and M. A. Thornton, May 13, 2020.
  Numerous on-line magazines ran articles about the Deason Institute research results in ransomware detection. Including EurekaAlert! Science New-AAAS, newsbreak.com, Cyber Daily Report, CywareSocial, helpnetsecurity, DigitPol, phys.org-Security News, redes-zone (in Spanish), sciencebusiness.tech, sciencebusinesstechnews, scienmag.com-Technology, TechXplore, and others, May 13-18, 2020.
  KRLD radio, live segment interview with M. A. Thornton, Cybersecurity concerns related to COVID19 pandemic, April 2, 2020
 

Dallas Morning News (print edition), The sound of things to come, Jordan Wilkerson, describes research about keyboard/smartphone snooping privacy, September 23, 2019, features E.C. Larson and M. A. Thornton.
 

BBC radio, BBC World Service and two local UK BBC radio stations, interviewed by Oliver Conway and included in a radio piece about keyboard/smartphone snooping privacy, (audio recording at 11:33), additional similar stories on Dallas KRLD and KLIF radio stations, interview of M. A. Thornton.
 

Now hackers can use smartphones to secretly listen to what you're typing on your laptop keyboard, Forbes, August 20, 2019, (authored by Jeb Su, Forbes correspondent with interview of M. A. Thornton).
 

Communications of the ACM (CACM), Tech News (online edition), SMU Researchers Find a New Way to Snoop with Smartphones. Should You Be Worried?, features E.C. Larson and M. A. Thornton, August 19, 2019.
 

SMU researchers find a new way to snoop with smartphones. But should you be worried?, Dallas Morning News (online edition), August 13, 2019, (authored by Jordan Wilkerson, science reporter, also picked up by the Chicago Tribune, similar articles were written based on an SMU press release and appeared in several other newspapers, TV news, magazines, and online publications such as Yahoo! News), features E.C. Larson and M. A. Thornton.
  ABC 10 TV News story, Sacramento, CA, Hackers could hear your password when you type, (several other TV news channels ran this story including 12 News Phoenix, AZ; WTHR Pittsburgh, PA; WFMY Greensboro, NC; CBS19 Tyler, TX; WCNC, Charlotte, NC; WFAA, Dallas, TX; 9News, Sydney, Australia; many others, features E.C. Larson and M. A. Thornton.
  “This Could Change Everything: Bills Would Boost Research Into Radically New Way of Computing,” Dallas Morning News, Editorial, August 7, 2018, (authored by editorial board member Michael Lindenberger, including M. A. Thornton's research efforts in quantum computing at SMU).

Abstracts

  M. A. Thornton, “Embedded Systems Cyber Security at the Physical Layer,” Information Systems and Computing Technology Networks (ISaCTN), (internal-only) Raytheon Technologies Conference, May 10, 2021.
  Y. Sun, H. Jiang, L. Ramakrishnan, M. Segal, J. Dworak, T. W. Manikas, K. Nepal, and R. I. Bahar, “Test Architecture for Fine Grained Capture Power Reduction”, 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genova, Italy, November 2019
 

T. W. Manikas and M. A. Thornton, “Model Checking for Security Analysis of Cyber-Physical Systems,” International Conference on Data Intelligence and Security (ICDIS), June 28-30, 2019.
  K. N. Smith and M. A. Thornton, “An Open-Source General Compiler for Quantum Computers,” Free and Open Source Developers European Meeting (FOSDEM), February 3.
  M. A. Thornton, W. V. Oxford, D. L. MacFarlane, and T. P. LaFave, Jr., “Single Qubit Quantum Ring Oscillator and Applications for Storage and True Random Number Generation,” Quantum Simulation & Computation Conference (QSC), February 12-16, 2018.