FY 2017 Publications

Books and Chapters

Matthew J. Patitz, M. Stannett, Unconventional Computation and Natural Computation : 16th International Conference, UCNC 2017, Fayetteville, AR, USA, June 5-9, 2017, Proceedings. Cham: Springer International Publishing, 2017.

Dale R. Thompson, C. E. Rainwater, Jia Di, and S. C. Ricke, Chapter 20: Student Cross-Training Opportunities for Combining Food, Transportation, and Critical Infrastructure Cybersecurity into an Academic Food Systems Education Program, Food and Feed Safety Systems and Analysis, Academic Press, pp. 375-391

Refereed Articles

T. Hansmeier, M. Platzner, M. J. H. Pantho, and David Andrews, “An Accelerator for Resolution Proof Checking based on FPGA and Hybrid Memory Cube Technology,” Journal of Signal Processing Systems, vol. 91, no. 11–12, pp. 1259–1272, Jan. 2019, doi: 10.1007/s11265-018-1435-y.

R. Becker, Z. Aklah, and David Andrews, “Investigating A Multilayer Perceptron on the HMC,” HMC Workshop at 27th International Conference on Field Programmable Logic and Applications, Ghent Belgium, September 4-8, 2017.

Y. Bai, R. Demara, Jia Di, and M. Lin, “Clockless Spintronic Logic: A Robust and Ultra-Low Power Computing Paradigm,” accepted by IEEE Transactions on Computers

S. Roy, R. Murphree, A. Abbasi, A. Rahman, S. Ahmed, J. Gattis, A. M. Francis, J. Holmes, H. A. Mantooth, and Jia Di, “A SiC CMOS Digitally Controlled PWM Generator for High-Temperature Applications,” IEEE Transactions on Industrial Electronics, Vol. 64, Issue 10, pp. 8364-8372, October 2017

Jia Di, B. Bell, W. Bouillon, J. Brady, T. Le, C. Lo, L. Men, S. Nelson, F. Sabado, and A. Suchanek, “Recent Advances in Low Power Asynchronous Circuit Design,” Journal of Low Power Electronics, Vol. 13, NO. 3, pp. 280-297, September 2017

A. Rahman, L. Caley, S. Roy, N. Kuhns, H. A. Mantooth, Jia Di, A. M. Francis, and J. Holmes, “High Temperature Data Converters in Silicon Carbide CMOS,” IEEE Transactions on Electron Devices, Vol. 64, Issue 4, pp. 1426-1432, February 2017

Z. Guo, Jia Di, M. Tehranipoor, and D. Forte, “Obfuscation-Based Protection Framework against Printed Circuit Boards Unauthorized Operation and Reverse Engineering,” ACM Transactions on Design Automation of Electronic Systems, Vol. 22, Issue 3, Article 54, April 2017

T. Le and Jia Di, “Golden Reference Matching for Gate-Level Netlist Functionality Identification,” 60th IEEE Midwest Symposium on Circuits and Systems (MWSCAS), August 2017.

H. A. Pierson, and Michael S. Gashler, “Deep Learning in Robotics: A Review of Recent Research.” Advanced Robotics 31, no. 16, 821-835. Taylor & Francis. 2017.

L. B. Godfrey, and Michael S. Gashler, "Neural Decomposition of Time-Series Data for Effective Generalization." Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017.

J. Cambria, H. Pierson, R. Turner, L. Yang, J. Berta, and Michael S. Gashler, (2018) “Tinkering Belles and Rocking Robots: Demystifying robotics club and STEM aspirations.”  Accepted by the 2018 annual meeting of the American Psychological Association, San Francisco, CA.

J. R. Smith and Michael S. Gashler. "An Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging." 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Dec. 2017, Cancun, Mexico.

T. Bowman, Y. Wu, John Gauch, L. K. Campbell, M. El-Shenawee, “Terahertz Imaging of Three-Dimensional Dehydrated Breast Cancer Tumors,” Journal of Infrared, Millimeter, and Terahertz Waves, 2017.

S. Alfarhood, Susan Gauch, K. Labille, “Employing Link Differentiation in Linked Data Semantic Distance.” International Conference on Knowledge Engineering and Semantic Web (KESW 2017) Szezecin, Poland, November 8-10, 2017, 175-191.

S. Alfarhood, Susan Gauch, K. Labille, “Creating Domain-Specific Lexicons via Text Mining.” 6th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2017) Halifax, Nova Scotia, Canada, August 14, 2017.

S. Alfarhood, Susan Gauch, K. Labille, “PLDSD: Propagated Linked Data Semantic Distance.” 26th IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE) – Web2Touch Track: Semantic Technologies in Smart Information Sharing and Web Collaboration, Poznan, Poland, June 21-23, 2017, 278-283.

Miaoqing Huang, C. Lai, X. Shi, Z. Hao, H. You, “Study of Parallel Programming Models on Computer Clusters with Intel MIC Coprocessors,” International Journal of High Performance Computing Applications, vol. 31, no. 4, pp. 303-315, July 2017.

C. Lai, X. Shi, Miaoqing Huang, “Efficient Utilization of Multi-core Processors and Many-Core Co-processors on Supercomputer Beacon for Scalable Geo-computation and Geo-simulation over Big Earth Data,” Big Earth Data, DOI: 10.1080/20964471.2018.1434265.

H. Ding, Miaoqing Huang, “PolyPC: Polymorphic Parallel Computing Framework on Embedded Reconfigurable System,” Proceedings of 27th International Conference on Field-Programmable Logic and Applications (FPL), pp. 1-8, September 2017.

W. Bao, Qinghua Li, "Hiding Critical Targets in Smart Grid Networks," IEEE International Conference on Computing, Networking and Communications (ICNC) - Communications and Information Security Symposium, 2018.

F. Zhang, Qinghua Li, "Deep Learning-Based Data Forgery Detection in Automatic Generation Control," IEEE Conference on Communications and Network Security (CNS): International Workshop on Cyber-Physical Systems Security (CPS-Sec), 2017.

A. Li, Qinghua Li, V.C. Hu, "Access Control for Distributed Processing Systems: Use Cases and General Considerations," Proceedings of IEEE International Conference on Collaboration and Internet Computing (CIC), 2017.

F. Zhang, M. Mahler, Qinghua Li, "Flooding Attacks against Secure Time-Critical Communications in the Power Grid," Proceedings of IEEE International Conference on Smart Grid Communications (SmartGridComm) - Cyber Security and Privacy Symposium, 2017. 

W. Du, Qinghua Li, "Secure and Efficient Outsourcing of Large-Scale Nonlinear Programming," IEEE Conference on Communications and Network Security (CNS), 2017.

J. Fan, Qinghua Li, G. Cao. "Privacy Disclosure Through Smart Meters: Reactive Power Based Attack and Defense," IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2017.

A.R.S. Nugroho, Qinghua Li, "Inferring Mobile Apps from Resource Usage Patterns," IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (Mobile Cloud), 2017. 

Q. Yaseen, Y. Jararweh, Brajendra N. Panda, Q. Althebyan, “An Insider Threat Aware Access Control for Cloud Relational Databases”, Cluster Computing - The Journal of Networks, Software Tools and Applications (Springer Journal); Vol. 20, No. 3, September 2017.

K. Morovat, Brajendra N. Panda, “Verifying Integrity of Big Data in Cloud Databases”, Proceedings of the 2017 International Symposium on Cloud Computing and Data Centers (CSCI-ISCC), as a part of 4th Annual Conference on Computational Science & Computational Intelligence; Las Vegas, NV, December 14-16, 2017

L. Kari, S. Kopecki, P. Meunier, Matthew J. Patitz, S. Seki, “Binary Pattern Tile Set Synthesis Is NP-Hard.” Algorithmica 78(1): 1-46 (2017)

J. Hendricks, Matthew J. Patitz, T.A. Rogers, “The Simulation Powers and Limitations of Higher Temperature Hierarchical Self-Assembly Systems.” Fundam. Inform. 155(1-2): 131-162 (2017)

J. Hendricks, Matthew J. Patitz, T.A. Rogers, “Reflections on tiles (in self-assembly).” Natural Computing 16(2): 295-316 (2017)

T. Fochtman, J. Hendricks, Matthew J. Patitz, H. Han, J. Kim, “Coarse-Grained Molecular Dynamic Simulation of DNA-Linked Nanoparticle Building Blocks on a GPU,” 17th IEEE International Conference on Nanotechnology, July 25-28, 2017, Pittsburgh, PA, USA.

C. Rao, T. Wamg, Yarui Peng, J. Cheng, Y. Liu, S.K. Lim, X. Lu, "Residual Stress and Pop-Out Simulation for TSVs and Contacts in Via-Middle Processing", IEEE Transactions on Semiconductor Manufacturing, vol. 30, no. 2, pp. 143-154, May 2017.

Yarui Peng, T. Song, D. Petranovic, S.K. Lim, "Parasitic Extraction for Heterogeneous Face-to-face Bonded 3-D ICs", IEEE Transactions on Components and Packaging and Manufacturing Technology, vol. 7, no. 6, pp. 912–924, Jun 2017.

M. Jung, T. Song, Yarui Peng, S.K. Lim, "Design Methodologies for Low-power 3-D ICs with Advanced Tier Partitioning", IEEE Transactions on Very Large Scale Integration Systems, vol. 25, no. 7, pp. 2109-2117, Jul 2017.

Yarui Peng, D. Petranovic, K. Samadi, P. Kamal, Y. Du, S.K. Lim, "Inter-die Coupling Extraction and Physical Design Optimization for Face-to-face 3D ICs", IEEE Transactions on Nanotechnology, 2017.

Yarui Peng, D. Petranovic, S.K. Lim, "Chip/Package Co-Analysis and Inductance Extraction for Fan-Out Wafer-Level-Packaging", Conference on Electrical Performance of Electronic Packaging and Systems, 2017.

Q. Le, T. Evans, S. Mukherjee, Yarui Peng, T. Vrotsos, H.A. Manooth, "Response Surface Modeling for Parasitic Extraction for Multi-Objective Optimization of Multi-Chip Power Modules (MCPMs)." IEEE Workshop on Wide Bandgap Power Devices and Applications, 2017.

Yarui Peng, D. Petranovic, S.K. Lim, "Die-to-Package Coupling Extraction for Fan-Out Wafer-Level-Packaging", IEEE Electrical Design of Advanced Packaging and Systems Symposium, 2017.

S. Lankford, Dale R. Thompson, S.C. Ricke, “Simulating foodborne pathogens in poultry production and processing to defend against intentional contamination,” Journal of the Arkansas Academy of Science, vol. 71, 2017.

Dale R. Thompson, B. Hill, D. Shannon, H. Lekkala, W. Lo, “Preliminary results of TACT integration and confidence levels on seven big ideas of CS,” poster at ACM Technical Symposium on Computing Science Education (SIGCSE), Baltimore, MD, Feb. 24, 2018.

A. Ordorica, Dale R. Thompson, “Operating system fingerprinting using IPv6 packets and machine learning techniques.” Proc. National Cyber Summit, Huntsville, AL, Jun. 6-8, 2017, pp. 29-33.

N. Phan, Xintao Wu, D. Dou, "Preserving Differential Privacy in Convolutional Deep Belief Networks".  Machine Learning, 106(9-10): 1681-1704, 2017.  

L. Zhang, Xintao Wu, "Anti-discrimination Learning: A Causal Modeling-based Framework.” International Journal of Data Science and Analytics, 4(1):1-16, 2017.

L. Wu, Xintao Wu, A. Lu, Y. Li, "On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure.” IEEE Transactions on Knowledge Discovery and Data Engineering, 29(7):1480-1493, 2017.

N. Phan, Xintao Wu, H. Hu, D. Dou, "Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.” Proceedings of the IEEE International Conference on Data Mining (ICDM), New Orleans, LA, USA, Nov 18-21, 2017.

L. Zhang, Q. Pan, Xintao Wu, "Modeling SNP and Quantitative Trait Association from GWAS Catalog Using CLG Bayesian Network". Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, Nov 13-16, 2017.

Q. Pan, L. Zhang, Xintao Wu, "STP: An SNP-Trait Inference Platform". Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, Nov 13-16, 2017.

S. Suan, Xintao Wu, A. Lu, J. Li. "Spectrum-based Deep Neural Networks for Fraud Detection". Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), Singapore, Nov 6-10, 2017.

Y. Li, Xintao Wu, A.Lu. "On Spectral Analysis of Directed Signed Graphs". Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Tokyo, Japan, Oct 19-21, 2017.

S. Yuan, P. Zheng, Xintao Wu, Y. Xiang, "Wikipedia Vandal Early Detection: from User Behavior to User Embedding". Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Skopje, Macedonia, Sept 18-22, 2017.

L. Zhang, Y. Wu, Xintao Wu. "A Causal Framework for Discovering and Removing Direct and Indirect Discrimination". Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017.

 L. Zhang, Y. Wu, Xintao Wu. "Achieving Non-Discrimination in Data Release". Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Nov Scotia, Canada, August 13-17, 2017.

D. Xu, S. Yuan, Xintao Wu. "Differential Privacy Preserving Causal Graph Discovery". Proceedings of the 1st IEEE Symposium on Privacy-Aware Computing (PAC), Washington DC, USA, August 1-3, 2017.

S. Katla, D. Xu, Y. Wu, Q. Pan, Xintao Wu. "DPWeka: Achieving Differential Privacy in WEKA". Proceedings of the 1st IEEE Symposium on Privacy-Aware Computing (PAC), Washington DC, USA, August 1-3, 2017.

S. Yuan, Xintao Wu, Y. Xiang. "SNE: Signed Network Embedding". Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Jeju, South Korea, May 23-26, 2017.

Unrefereed Publications and Proceedings

Invited Lectures

Other Creative Endeavors