Recent Publications

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

All Publications
 

Journal Articles

 
 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.
  X. Wang, T. Liu, S. Guo, M. A. Thornton, and P. Gui, “A 2.56 Gb/s Serial Wireline Transceiver that Supports an Auxiliary Channel in 65-nm CMOS,” 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.
  Y. Sun, F. Zhang, H. Jiang, K. Nepal, J. Dworak, T. W. Manikas, and R. I. Bahar, “Repurposing FPGAs for Tester Design to Enhance Field-Testing in a 3D Stack,” Journal of Electronic Testing: Theory and Applications (JETTA), (December 2019)..
  K. N. Smith and M. A. Thornton, “Higher Dimension Quantum Entanglement Generators,” ACM Journal on Emerging Technologies in Computing Systems, Vol. 16, No. 1, Article 3, 21 pages, (October 2019).
  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).
 

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

Books, Book Chapters and Encyclopedia Articles

    

D. 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 Advances in the Boolean Domain (pp. 28). Newcastle upon Tyne: Cambridge Scholars Publishing, Bernd Steinbach (Ed.), 2022.
    

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

M. A. Thornton, “Keystroke Dynamics,” Article in the Encyclopedia of Cryptography, Security and Privacy, 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.

Patents

U.S. Patent Application 17/230,251, “Systems and Methods for Controlled Quantum Information Processing Operation with Trans-radix Basis Components,” November 25, 2021, April 15, 2021 (filing date), M. A. Thornton (inventor).
U.S. Patent Application 17/350,824, “Detecting Malicious Software Using Sensors,” (continuation of U.S. Patent 11,042,638) October 7, 2021, June 17, 2021 (filing date), M. A. Thornton, M. A. Taylor, K. N. Smith (inventors).
U.S. Patent Application 17/468,358, “Systems and Methods for Efficient Photonic Heralded Quantum Computing Systems,” September 7, 2021 (filing date), D. L. MacFarlane, M. A. Thornton, W. V. Oxford (inventors).
U.S. Patent 11,080,614, “Systems and Methods for Quantum Coherence Preservation of Qubits,” August 3, 2021, December 5, 2017 (filing date), W. V. Oxford, M. A Thornton, D. L. MacFarlane, T. P. LaFave, Jr. (inventors).
U.S. Provisional Patent 63/211,281, “Computing System Network Anomaly Detection Using Packet Prediction and External Sensors,” June 16, 2021 (filing date), M.A. Thornton, E. C. Larson, T. W. Manikas, M. A. Taylor, A. Sinha, N. Srirama.
  U.S. Provisional Patent 63/180,877, “Systems and Methods for Hybrid Quantum PUF Construction,” April 28, 2021 (filing date), D. L. MacFarlane, M. A. Thornton, W. V. Oxford inventors).
  U.S. Patent Application 17/103,394, “Systems and Methods for Preservation of Qubits,” (continuation of 10,878,333), November 24, 2020 (filing date), claiming priority from: Quantum State Oscillators and Methods for Operation and Construction of Same, U.S. Provisional Patent No. 62/491,815, filed April 28, 2017, M. A. Thornton, D. L. MacFarlane, T. P. LaFave, Jr., W. V. Oxford (inventors).
 

U.S. Patent Application 16/825,449, “Systems and Methods for Multi-Source True Random Number Generators, Including Multi-Source Entropy Extractor Based Quantum Photonic True Random Number Generators,” September 24, 2020, March 20, 2020 (filing date), M. A. Thornton, D. L. MacFarlane, W. V. Oxford, Micah A. Thornton (inventors).
 

U.S. Patent 10,579,936 B2, “Systems and Methods for Preservation of Qubits,” March 3, 2020, April 27, 2018 (filing date), M. A. Thornton, D. L. MacFarlane, T. P. LaFave, Jr., W. V. Oxford (inventors).
  U.S. Patent Application 67/776,238, “Generating Upsampled Signal from Gyroscope Data,” December 6, 2019 (filing date), M. A. Thornton, E. C. Larson, I. Johnson, T. Siems, E. Gabrielsen (inventors).

Conference Proceedings

  

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), 4 pp., May 28, 2022, (to appear).
  

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), May 22-27, 2022, (to appear).
  

A. Sinha and M.A. Thornton, “Quantum Multiple Valued Kernel Circuits,” IEEE International Symposium on Multiple Valued Logic (ISMVL), 8 pp., May 18, 2022, (to appear).
  

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, May 9-11, 2022, (to appear).
  

M. A. Taylor, E. C. Larson, and M. Thornton, “General Process Detection Through Physical Side Channel Characterization,” IEEE International Conference on Systems (SysCon 2022), April 25-28, 2022, (to appear).
  

M. Lee, J. Sylvester, S. Aggarwal, A. Sinha, M. Taylor, N. Srirama, E.C. Larson and M.A. Thornton, “Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems,” International Conference on Information Systems Security and Privacy (ICISSP), 11 pp., February 9, 2022.
  

J. Sylvester, M. Lee, M.A. Thornton, E.C. Larson, S. Aggarwal, M.J. Hornbach, M. Manga, and B. Miller, “Time Series Clustering using Granger Causality to Identify Time Series Applicable to Forecasting Internal Waves in Lake and Marine Environments,” American Geophysical Union (AGU), December 13-17, 2021, (abstract only).
  

C. A. Harper, A. Sinha, M. A. Thornton, and E. C. Larson, “SNR-Boosted Automatic Modulation Classification,” Asilomar Conference on Signals, Systems, and Computers (ASILOMAR), pp. 372-375, October 31-November 3, 2021, doi: 10.1109/IEEECONF53345.2021.9723370.
  

Y. Sun, H. Jiang, L. Ramakrishnan, J. Dworak, K. Nepal, T. Manikas, and R. I. Bahar, “Low Power Shift and Capture through ATPG-Configured Embedded Enable Capture Bits,” 2021 IEEE International Test Conference, October 10-15, 2021, doi: 10.1109/ITC50571.2021.00045.
  

A. Sinha, M. Taylor, N. Srirama, T. Manikas, E. C. Larson, and M. A. Thornton, “Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus,” 2021 IEEE Conference on Control Technology and Applications (CCTA), August 8-11, 2021, doi: 10.1109/CCTA48906.2021.9659110.
  

M. Taylor, E. C. Larson, and M. A. Thornton, “Rapid Ransomware Detection Through Side Channel Exploitation,” 2021 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 47-54, July 26-28, 2021, doi: 10.1109/CSR51186.2021.9527943.
  

E. Tsang, P. Foster, E. Adams, L. Ketterlin-Geller, E.C. Larson, and C. Clark (2021). “A Standard Decomposition Process to Inform the Development of Game-Based Learning Environments Focused on Computational Thinking,” International Conference of Computational Thinking and STEM Education 2021 (CTE-STEM 2021), pp. 47-50, June 2-4, 2021.
  

D. Pompa and M. A. Thornton, “Applying a Variational Eigensolver for Hybrid Quantum-Classical Machine Learning,” 18th International Conference on Quantum Physics and Logic, pp. 7, June 7-11, 2021, (poster presentation).
  

L. Wood and E. C. Larson, “Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks,” 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2800-2804, June 6-11, 2021.
  

R. Oshana, M. A. Thornton, E. C. Larson, and X. Roumegue, “Real-Time Edge Processing Detection of Malicious Attacks Using Machine Learning and Processor Core Events,” 2021 IEEE International Systems Conference (SYSCON), pp. 1-8, April 15-May 15, 2021.
  

S. Scielzo, J. Wilson, and E. C. Larson, “Towards the Development of an Automated, Real-Time, Objective Measure of Situation Awareness for Pilots,” Interservice/Industry Training, Simulation & Education Conference (I/ITSEC), November 29-December 3, 2020, Overall Best Paper Winner, Platinum Paper (winner among all papers at conference).
  

K. N. Smith, M. A. Thornton, and D. M. Miller, “Fast Minimization of Polynomial Decomposition using Fixed-polarity Pascal Transforms,” IEEE International Symposium on Multiple-Valued Logic (ISMVL), pp. 259-264, November 11, 2020.
   K. N. Smith, D. L. MacFarlane and M. A. Thornton, “A Quantum Photonic TRNG Based on Higher-radix Logic,” IEEE International Symposium on Multiple Valued Logic (ISMVL), pp. 164-169, November 10, 2020.
  M. A. Thornton, “Introduction to Quantum Computation Reliability,” IEEE International Test Conference (ITC), online proceedings, November 3-5, 2020 (invited, online, video).
  C. A. Harper, L. Lyons, M. A. Thornton, and E. C. Larson, “Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling,” 2020 54th Asilomar Conference on Signals, Systems, and Computers, pp. 162-165, November 1-4, 2020.
 

K. N. Smith and M. A. Thornton, “Fixed Polarity Pascal Transforms with Computer Algebra Applications,” IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing (PacRim), August 21 - 23, 2019.
  K. N. Smith and M. A. Thornton, “Quantum Logic Synthesis with Formal Verification,” IEEE Midwest Symposium on Circuits and Systems (MWSCAS), pp. 73 – 76, August 4-7, 2019.
  X. Ding and E. C. Larson, “Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning,” 7th ACM Conference on Learning @ Scale, pp. 285-288, August 12-14, 2020, doi: 10.1145/3386527.3406729.
 

J. Medellin and M. A. Thornton, “A Discussion on Blockchain Software Quality Attribute Design and Tradeoffs,” International Conference on Emerging Topics in Computing (iCETiC), August 19-20, 2019, Springer Nature, LNICST Vol. 285, pp. 19-28, pub. date: July 14, 2019 (best paper award).
 

K. N. Smith and M. A. Thornton, “A Quantum Computational Compiler and Design Tool for Technology-Specific Targets,” ACM/IEEE International Symposium on Computer Architecture (ISCA), pp. 579 – 588, June 22-26, 2019.
 

K. N. Smith, M. Soeken, B. Schmitt, G. De Micheli, and M. A. Thornton, “Using ZDDs in the Mapping of Quantum Circuits,” Quantum Physics and Logic Conference (QPL), pp. 1 – 11, June 10-14, 2019, arXiv:1901.02406.
 

T. W. Manikas and M. A. Thornton, “Model Checking for Security Analysis of Cyber-Physical Systems,” International Conference on Data Intelligence and Security (ICDIS), South Padre Island, TX, June 2019. 
  K. N. Smith and M. A. Thornton, “Entanglement in Higher-Radix Quantum Systems,” IEEE Symposium on Multiple Valued Logic (ISMVL), pp. 114-119, May 21-23, 2019, arXiv:1906.00491.
  T. Giallanza, E. Gabrielsen, M. A. Taylor, E. C. Larson, and M. A. Thornton, “Task Value Calculus: Multi-Objective Tradeoff Analysis using Multiple-valued Decision Diagrams,” IEEE International Symposium on Multiple-Valued Logic (ISMVL), pp. 126-131, May 21-23, 2019.
  S. Douglas and E. C. Larson, “Relationships Between Deep Learning and Linear Adaptive Systems,” ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7755-7759, May 2019 (invited paper)..
  M. A. Thornton and D. L. MacFarlane, “Quantum Photonic TRNG with Dual Extractor,” International Conference on Networked Systems/Workshop on Quantum Technology and Optimization Problems (NetSys/QTOP), Springer-Verlag LNCS 11413, pp. 171-182, March 18-21, 2019, presentation video.
  J. Medellin and M. A. Thornton, “Performance Characteristics of Two Blockchain Consensus Algorithms in a VMware Hypervisor,” in proc. International Conference on Grid, Cloud, and Cluster Computing (GCC), July 30, 2018.
 

J. Medellin and M. A. Thornton, “Simulating Resource Consumption in Three Blockchain Consensus Algorithms,” in proc. International Conference on Modeling, Simulation and Visualization Methods (MSV), July 30, 2018.
 

X. Wang, T. Liu, S. Guo, M. A. Thornton, and P. Gui, “A 2.56 Gbps Asynchronous Serial Transceiver with Embedded 80 Mbps Secondary Data Transmission Capability in 65nm CMOS,” IEEE Radio Frequency Integrated Circuits Symposium (RFIC), pp. 360-363, June 10-12, 2018.
 

Micah A. Thornton and M. A. Thornton, “Multiple-Valued Random Digit Extraction,” IEEE International Symposium on Multiple-Valued Logic (ISMVL), pp. 162-167, May 16-18, 2018.
  K. N. Smith, T. P. LaFave Jr., D. L. MacFarlane, and M. A. Thornton, “A Radix-4 Chrestenson Gate for Optical Quantum Computation,” IEEE International Symposium on Multiple-Valued Logic (ISMVL), pp. 260-265, May 16-18, 2018.

Workshops


 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 and M. A. Thornton, “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 6:52AM, 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.
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