FY 2019 Publications
Books and Chapters
Jia Di and S.C. Smith, Eds., Asynchronous Circuit Applications, IET Press, Page: 368, ISBN-13: 978-1-78561-817-8, 2019
K. Labille, Susan Gauch, and S. Alfarhood, “Text Mining for Word Sentiment Detection,” In Knowledge Discovery, Knowledge Engineering and Knowledge Management, ed. Ana Fred et al, Springer, 2019. DOI: 10.1007/978-3-319-99701-8_7, 149-170.
Thi Hoang Ngan Le , K. Luu, C.N. Duong, K.G. Quach, T.D. Truong, K. Sadler and M. Savvides, “Active Contour Model in Deep Learning Era: A Revise and Review, book chapter, Springer 2020
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. 2019;91(11):1259-1272. doi:10.1007/s11265-018-1435-y
A. Panahi, K. Stokke and David Andrews, “A Library of FSM-based Floating-Point Arithmetic Functions on FPGAs”, Proceedings of the 2019 International Conference on Reconfigurable Computing and FPGAs (ReConFig), Dec 9-11, 2019, pp.1-7
T. Kim, J. Ochoa, T. Faika, H. A. Mantooth, Jia Di, Qinghua Li, and Y. Lee, “An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology,” accepted for publication in IEEE Journal of Emerging and Selected Topics in Power Electronics, December 2019
J. Zhu, G. Sun, X. Zhang, C. Zhang, W. Zhang, Y. Liang, T. Wang, Y. Chen, and Jia Di, “Fork Path: Batching ORAM Requests to Remove Redundant Memory Accesses,” accepted for publication in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, October 2019
H. Albunashee, C. Farnell, A. Suchanek, K. Haulmark, R. McCann, Jia Di, and A. Mantooth, “A Testbed for DER Cyber Security Research,” accepted for publication in IEEE Journal of Emerging and Selected Topics in Power Electronics, October 2019
R. Murphree, S. Roy, S. Ahmed, M. Barlow, A. M. Francis, J. Holmes, H. A. Mantooth, and Jia Di, “A SiC CMOS Linear Voltage Regulator for High-Temperature Applications,” IEEE Transactions on Power Electronics, Vol. 35, Issue 1, pp. 913-923, January 2020
B. Sparkman, S. C. Smith, and Jia Di, “Built-in Self-Test for multi-Threshold NULL Convention Logic Asynchronous Circuits,” accepted for publication by the 38th IEEE VLSI Test Symposium (VTS’20)
B. McGeehan, F. Smith, T. Le, H. Nauman, and Jia Di, “Hardware IP Classification through Weighted Characteristics,” IEEE High Performance Extreme Computing Conference, November 2019.
E. Deng, S. Wei, Jia Di, W. Kang, W. Zhao, “Non-Volatile NULL Convention Logic Pipeline Using Magnetic Tunnel Junctions,” 25th IEEE International Symposium on Asynchronous Circuits and Systems, Special Session (not a full paper), May 2019.
J. Moquin, S. Kim, N. Blair, C. Farnell, Jia Di, and H. A. Mantooth, “Enhanced Uptime and Firmware Cybersecurity for Grid Connected Power Electronics,” IEEE PELS CyberPELS Workshop, April 2019.
W. Khalil, K. Haulmark, M. Howard, and Jia Di, “Enhancing Voltage Scalability of Asynchronous Circuits through Logic Transformation,” IEEE SoutheastCon, 2019.
N. Azawi, John Gauch, “Motion Compensated Restoration of Colonoscopy Images”, 9th Int. Conf. on Computer Science, Engineering and Applications (CCSEA 2019), Toronto, Canada, July 2019.
C. Roullet, D. Fredrick, John Gauch, and R. Vennarucci, “An automated technique to recognize and extract images from scanned archaeological documents,” 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), Sydney, Australia, Sept. 2019.
S. Alfarhood, Susan Gauch, and K. Labille, “Semantic Distance Spreading Across Entities in Linked Open Data,” Information, Vol. 10, No. 1, 2019, DOI:10.3390/info10010015.
G. Chen, Z. Xu, J. Zhang, G. Wang, H. Jiang, Miaoqing Huang, "Generic attribute revocation systems for attribute-based encryption in cloud storage," Frontiers of Information Technology & Electronic Engineering, 20(6):773-786, 2019.
G. Zeng, Miaoqing Huang, "Design and Demonstration of a SIMD System Based on the Bit-serial PE Array in FPGA," in Proceedings of 2019 IEEE 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2019), pp. 1801-1804, October 2019.
D.S.N. Al-Absi, H. Shi, X. Yu, and Miaoqing Huang, "Machine Learning Approach Combining the Universal Language Model Fine-tuning with SVM for Twitter Sentiment Analysis," to be presented at 9th International Conference on Software and Computer Applications (ICSCA 2020), pp. 1-6, February 2020.
T. Kamucheka, Z. Gui, Miaoqing Huang, H. Churchill, M. El-Shenawee, “Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna,” to be presented at 2020 International Applied Computational Electromagnetics Society (ACES) Symposium, pp. 1-2, March 2020. (Abstract)
M. Hasan Doha, Ahmad F. Rawwagah, Josh P. Thompson, Arash Fereidouni, Kenji Watanabe, Takashi Taniguchi, Miaoqing Huang, Magda O. El-Shenawee, and Hugh O. H. Churchill, “THz Photoconductive Antennas Using Thin Black Phosphorus,” to be presented at 2020 American Physical Society March Meeting, pp. 1-2, March 2020. (Abstract)
J.B. Holliday, Thi Hoang Ngan Le, “Follow Then Forage Exploration: Improving Asynchronous Advantage Actor Critic”, International Conference on Soft Computing, Artificial Intelligence and Applications (SAI 2020), Canada, July 2020.
S. Yuan, P. Zheng, X. Wu, and Qinghua Li, "Insider Threat Detection via Hierarchical Neural Temporal Point Processes," IEEE International Conference on Big Data (BigData), 2019.
D. Wu, P. Zhou, Qinghua Li, R. Li, and J. Xu, "Privacy-Preserving MECEnabled Contextual Online Learning via SDN for Service Selection in IoT," in the IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS), 2019.
D. Darling, A. Li, and Qinghua Li, "Feature-Based Model for Automated Identification of Subjects and Bystanders in Photos," in the IEEE International Workshop on the Security, Privacy, and Digital Forensics of Mobile Systems and Networks (MobiSec), 2019.
C. N. Duong, K. G. Quach, Khoa Luu, T. H. N. Le and M. Savvides, “Learning from Longitudinal Face Demonstration – Where Tractable Deep Modeling Meets Inverse Reinforcement Learning“, International Journal of Computer Vision (IJCV), Pages 1 – 15, Feb. 2019. (IF: 11.541)
D. M. Ford, A. Dendukuri, G. Kalyoncu, Khoa Luu, and M. J. Patitz, “Machine learning to identify variables in thermodynamically small systems,” Foundations of Process Analytics and Machine Learning (FOPAM) Conference, Raleigh, North Carolina, Aug 2019.
A. Dendukuri, B. Keeling, A. Fereidouni, J. Burbridge, Khoa Luu, and H. Churchill, “Defining variational quantum circuits via quantum time evolution,” Quantum Techniques in Machine Learning (QTML), KAIST, Djaeon, South Korea, Oct 2019.
C. N. Duong, Khoa Luu, K. G. Quach, N. Nguyen, E. Patterson, T. D. Bui, Thi Hoang Ngan Le, “Automatic Face Aging in Videos via Deep Reinforcement Learning”, The IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019.
C. N. Duong, K. G. Quach, Thi Hoang Ngan Le, N. Nguyen, and Khoa Luu, “MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices”, The IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Florida, 2019.
Alexander Nelson, et al. “Replication of Smart-City, Internet of Things Assets in a Municipal Deployment” in IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6715-6724, Aug. 2019. doi: 10.1109/JIOT.2019.2911010.
H. Liu, E. Sanchez, J. Parkerson, Alexander Nelson, “Gesture Classification with Low-Cost Capacitive Sensor Array for Upper Extremity Rehabilitation”, in IEEE Sensors Conference 2019. Montreal, QC, Canada, 2019, pp. 1-4. doi: 10.1109/SENSORS43011.2019.8956862.
H. Liu, E. Sanchez, J. Parkerson, A. Nelson “Poster Abstract: Unobtrusive Sleep Monitoring with Low-Cost Pressure Sensor Array”, in 2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Washington, DC, USA, pp. 17-18. doi: 10.1145/3278576.3278584.
A. Alazeb and Brajendra Panda, “Maintaining Data Integrity in Fog Computing Based Critical Infrastructure Systems”, In Proceedings of the 2019 International Conference on Computational Science and Computational Intelligence, in Research Track / Symposium on Cyber Warfare, Cyber Defense, and Cyber Security (CSCI-ISCW), Las Vegas, Nevada, USA, December 5-7, 2019, 2019.
S. Almakdi and Brajendra Panda, “A Secure Model to Execute Queries over Encrypted Databases in the Cloud”, In Proceedings of the SmartCloud 2019: IEEE International Conference on Smart Cloud, Tokyo, Japan, December 10-12, 2019.
K. Morovat and Brajendra Panda, “Data Integrity in Policy-Based Attribute Access Control in Social Network Cloud”, In Proceedings of the 6th Annual Conference on Computational Science & Computational Intelligence (CSCI'19), Las Vegas, Nevada, December 05-07, 2019.
S. Almakdi and Brajendra Panda, “Designing a Bit-Based Model to Accelerate Query Processing over Encrypted Databases in Cloud”, In Proceedings of the 9th EAI International Conference on Cloud Computing (CloudComp 2019), Sydney, Australia, December 4-5, 2019.
M. Alshehri and Brajendra Panda, “A Blockchain-Encryption-Based Approach to Protect Fog Federations from Rogue Nodes”, In Proceedings of the 3rd Cyber Security in Networking Conference (CSNet 2019), Quito, Ecuador, October 23 - 25, 2019.
V. F. Tello and Brajendra Panda, “A Proposal for a Reduced Client Workload Model for Querying Encrypted Databases in Cloud”, In the Proceedings of the CLEI 2019 (XLV Conferencia Latinoamericana de Informática), Panama City, Panama, September 30 – October 4, 2019.
M. Alshehri and Brajendra Panda, “An Encryption based Approach to Protect Fog Federations from Rogue Nodes”, In the Proceedings of the 12th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2019), Atlanta, USA, Jul 14-17, 2019.
A. Alazeb and Brajendra Panda, “Ensuring Data Integrity in Fog Computing Based Healthcare Systems”, In the Proceedings of the 12th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2019), Atlanta, USA, Jul 14-17, 2019.
S. Almakdi and Brajendra Panda, “Secure and Efficient Query Processing Technique for Encrypted Databases in Cloud”, In Proceedings of the 2nd International Conference on Data Intelligence and Security (ICDIS 2019), South Padre Island, Texas, June 28-30, 2019.
H. Liu, E. Sanchez, James Parkerson, Alexander Nelson, “Unobtrusive Sleep Monitoring with Low-Cost Pressure Sensor Array,” IEEE/ACM CHASE 2019 Washington, DC, September 25-27, 2019 -
H. Liu, E. Sanchez, James Parkerson, Alexander Nelson, “Gesture Classification with Low-Cost Capacitive Sensor Matrix for Upper Extremity Rehabilitation,” IEEE Sensors Conference - Montreal, Canada, October 27-30, 2019. #1830
H. Liu, E. Sanchez, James Parkerson, Alexander Nelson “GASPads: Exploring the Potential of Capacitor Sensor Arrays to Improve Accessibility in Video Games,” CHI 2020 - ACM CHI Conference on Human Factors in Computing Systems -
J. Durand-Lose, J. Hendricks, Matthew J. Patitz, I. Perkins, and M. Sharp, “Self-assembly of 3-D structures using 2-D folding tiles”, Natural Computing, 2019, DOI: 10.1007/s11047-019-09751-9.
D. Hader and Matthew J. Patitz, “Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly”, Proceedings of the 18th International Conference on Unconventional Computation and Natural Computation (UCNC 2019), June 3-7, 2019, Tokyo, Japan, pp. 191-204.
J. C. Alumbaugh, J. J. Daymude, E. D. Demaine, Matthew J. Patitz, and A. W. Richa, “Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly”, Proceedings of the 25th International Conference on DNA Computing and Molecular Programming (DNA 25), August 5-9, 2019, University of Washington, Seattle, WA, pp. 140-158.
D. Ford, A. Dendukuri, G. Kalyoncu, Khoa Luu and Matthew Patitz, “Machine Learning to Identify Variables in Thermodynamically Small Systems”, Proceedings of Foundations of Process Analytics and Machine learning (FOPAM 2019), August 6-9, 2019, Raleigh, NC.
D. Hader, A. Koch, Matthew J. Patitz, and M. Sharp, “The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Universality in the abstract Tile Assembly Model”, . Proceedings of the ACM-SIAM Symposium on Discrete Algorithms 2020 (SODA '20), January 5-8, 2020, Salt Lake City, UT, pp. 2607-2624.
T. Evans, Q. Le, S. Mukherjee, I. Al Razi, T. Vrotsos, Yarui Peng, and A. Mantooth, "Powersynth: A Power Module Layout Generation Tool", IEEE Transactions on Power Electronics, vol. 34, no. 6, pp. 5063–5078, Jun 2019.
Q. Le, T. Evans, Yarui Peng, and H. A. Mantooth, "PEEC Method and Hierarchical Approach Towards 3D Multichip Power Module (MCPM) Layout Optimization", in Proc. IEEE International Workshop on Integrated Power Packaging, pp. 1– 6, Apr 2019.
I. Al Razi, Q. Le, H. A. Mantooth, and Yarui Peng, "Hierarchical Layout Synthesis and Design Automation for 2.5D Heterogeneous Multi-Chip Power Modules", in Proc. IEEE Energy Conversion Congress and Exposition, pp. 2257-2263, Sep 2019.
T. Evans, Q. Le, B. Narayanasamy, Yarui Peng, F. Luo, and H. A. Mantooth, "Development of EDA Techniques for Power Module EMI Modeling and Layout Optimization ", in Proc. IMAPS International Symposium on Microelectronics, pp. 193-198, Oct 2019.
B. M. Nafis, A. Iradukunda, I. Al Razi, D. R. Huitink, and Yarui Peng, "System-level Thermal Management and Reliability of Automotive Electronics: Goals and Opportunities in the Next Generation of Electric and Hybrid Electric Vehicles", in Proc. ASME International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, pp. 1-8, Oct 2019.
K. Hermanns, Yarui Peng, and H. A. Mantooth, "The Increasing Role of Design Automation in Power Electronics", (accepted) IEEE Power Electronics Magazine, 2020.
Yarui Peng, Q. Le, I. Al Razi, S. Mukherjee, T. Evans, and H. A. Mantooth, "PowerSynth Progression on Layout Optimization for Reliability and Signal Integrity", (accepted)IEICE Nonlinear Theory and Its Applications, 2020.
Md Arafat Kabir, and Yarui Peng, "Chiplet-Package Co-Design For 2.5D Systems Using Standard ASIC CAD Tools", (accepted) in Proc. Asia and South Pacific Design Automation Conference, 2020.
Lora Streeter “Detecting Gestures through a Gesture-Based Interface to Teach Introductory Programming Concepts”
Y. F. Mohammed and Dale R. Thompson, “Visualization of DNS tunneling attacks using parallel coordinates technique”, in Proc. International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS), Atlanta, GA, USA, July 11, 2019, Lecture Notes in Computer Science, G. Wang, J. Feng, M. Z., A. Bhuiyan and R. Lu, Eds., vol. 1161. Cham, Switzerland: Springer, 2019, pp. 89-101.
Lu Zhang, Q. Pan, Y. Wang, Xintao Wu, and X. Shi. "Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics". IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2):475489, 2019.
Lu Zhang, Y. Wu and Xintao Wu. "Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms". IEEE Transactions on Knowledge Discovery and Data Engineering, 31(11):2035-2050, Nov 2019. DOI 10.1109/TKDE.2018.2872988.
Y. Wu, Lu Zhang, Xintao Wu, and H. Tong. "PC-Fairness: A Unified Framework for Measuring Causality-based Fairness". Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 8-14, 2019.
S. Yuan, P. Zheng, Xintao Wu and Q. Li. "Insider Threat Detection via Hierarchical Neural Temporal Point Processes". Proceedings of 2019 IEEE International Conference on Big Data (BigData), Los Angeles, CA, USA, December 9-12, 2019.
D. Xu, Y. Wu, S. Yuan, Lu Zhang and Xintao Wu. "Achieving Causal Fairness through Generative Adversarial Networks". Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019.
Y. Wu, Lu Zhang and Xintao Wu. "Counterfactual Fairness: Unidentification, Bound and Algorithm". Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019. (acceptance ratio 850/4752)
N. H. Phan, M. Vu, Y. Liu, R. Jin, Xintao Wu, D. Dou and M. Thai. "Heterogeneous Gaussain Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness". Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019.
D. Xu, S. Yuan, Lu Zhang and Xintao Wu. "FairGAN+: Achieving Fair Data Generation and Fair Classification through Generative Adversarial Networks". Proceedings of the KDD 2019 Workshop on Explainable AI for Fairness, Accountability & Transparency (XAI), Anchorage, Alaska, August 4-8, 2019.
Y. Feng, J. Li, L. Jiao and Xintao Wu. "BotFlowMon: Learning-Based, Context-Agnostic Identification of Social Bot Traffic Flows". Proceedings of the 7th IEEE Conference on Communications and Network Security (CNS), Washington DC, June 10-12, 2019.
D. Xu, S. Yuan and Xintao Wu. "Achieving Differential Privacy and Fairness in Logistic Regression". Proceedings of the WWW Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web, San Francisco, California, May 14, 2019.
Y. Wu, Lu Zhang and Xintao Wu. "On Convexity and Bounds of Fairnessaware Classification". Proceedings of the WEB Conference (formerly WWW), San Francisco, California, May 13-17, 2019. (short paper, acceptance ratio 72/361)
Y. Li, A. Lu, Xintao Wu and S. Yuan. "Dynamic Anomaly Detection using Vector Autoregressive Model". Proceedings of the of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Macau, China, April 14-17, 2019.
P. Zheng, S. Yuan and Xintao Wu. "SAFE: A Neural Survival Analysis Model for Fraud Early Detection". Proceedings of the of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27- Feb 1, 2019.
P. Zheng, S. Yuan, Xintao Wu, J. Li and A. Lu. "One-Class Adversarial Nets for Fraud Detection". Proceedings of the of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27- Feb 1, 2019.
M. Schwob, Justin Zhan, and A. Dempsey, "Modeling Cell Communication with TimeDependent Signaling Hypergraphs," IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, doi: 10.1109/TCBB.2019.2937033.
S. Chobe, Justin Zhan, "Advancing community detection using Keyword Attribute Search," Journal of Big Data, 6-83, 2019.
C. Chiu, and Justin Zhan, An Evolutionary Approach to Compact DAG Neural Network Optimization, IEEE Access, Volume 7, pp. 178331-178341, 2019.
Justin Zhan, P. Shiue, S. Huang, and B. Lowe, "Towards a Novel Generalized Chinese Remainder Algorithm for Rabin Cryptosystem and Quantum Computing," IEEE Access, 2019.
Z. Fang, and Justin Zhan, "Deep Physical Informed Neural Networks For Metamaterial Design," IEEE Access, 2019.
Z. Fang. and Justin Zhan, "A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time Independent Problems," IEEE Access, 2019 (accepted).
E. Aguilar, J. Dancel, D. Mamaud, D. Pirosch, F. Tavacoli, F. Zhan, R. Pearce, M. Novack, H. Keehu, B. Lowe, Justin Zhan, L. Gewali, and P. Oh, "Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction," 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 2019.
E. Hunt, R. Janamsetty, C. Kinares, C. Koh, A. Sanchez, F. Zhan, M. Ozdemir, S. Waseem, O. Yolcu, B. Dahal, Justin Zhan, L. Gewali, P. Oh, "Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection," 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 2019.
B. Dahal, and Justin Zhan, "Effective Mutation and Recombination for Evolving Convolutional Networks," the 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, 2019.
T. Zhan, S. Deniz, Adrian, Ng, P. Gonzalez, I. Whaley, D. Garcia, S. Vinh, J. Eddy, F. Zhan, V. Choi, Justin Zhan, "Using Convolutional Neural Networks to Analyze X-Ray Radiographs for Multi-Label Classifications of Thoracic Diseases," IEEE 10th Annual Computing and Communication Workshop and Conference, Las Vegas, USA, 2019.
D. Hua, J. Gao, R. Mayo, A. Smedley, P. Puranik, Justin Zhan, "Segregating Hazardous Waste Using Deep Neural Networks in Real-Time Video," IEEE 10th Annual Computing and Communication Workshop and Conference, Las Vegas, USA, 2019.
H. Salmon, Justin Zhan, "Similarity Metric for Millions of Unlabeled Face Images," IEEE 10th Annual Computing and Communication Workshop and Conference, Las Vegas, USA, 2019.