FY 2020 Publications

Books and Chapters

Thi Hoang Ngan Le, Khoa Luu, C.N Duong, K. G. Quach, T. D. Truong, K. Sadler, and M. Savvides, (2020) “Active Contour Model in Deep Learning Era: A Revise and Review,” in Applications of Hybrid Metaheuristic Algorithms for Image Processing (pp. 231-260). Springer International Publishing, pp. 231-260. http://dx.doi.org/10.1007/978-3-030-40977-7_11

J. Cardoso , H. Van Nguyen, N. Heller, P. H. Abreu, I. Isgum, W. Silva, R. Cruz, J. P. Amorim, V. Patel, B. Roysam, K. Zhou, S. Jiang, Thi Hoang Ngan Le, Khoa Luu, R. Sznitman, V. Cheplygina, D. Mateus, E. Trucco and S. Abbasi, “Interpretable and Annotation-Efficient Learning for Medical Image Computing”, Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, MICCAI, Springer Nature, 2020.

Refereed Publications

A. Panahi, David Andrews, S. Balsalama, A. T. Ishimwe, (2020) “SPAR-2: A SIMD Processor Array for Machine Learning in IoT Devices.” Proceedings of the 3rd International Conference on Data Intelligence and Security (ICDIS) (pp. 141-147). IEEE.

H. Liu, A. Panahi, David Andrews, Alex H. Nelson, (2020). "An FPGA-based Upper-Limb Rehabilitation Device for Gesture Recognition and Motion Evaluation Using Multi-Task Recurrent Neural Networks." Proceedings of the 2020 International Conference on Field Programmable Technology (FPT) (2 page abstract/poster).

H. Liu, A. Panahi, David Andrews, Alex H. Nelson, (2020). "FPGA-Based Gesture Recognition with Capacitive Sensor Array using Recurrent Neural Networks." 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2020, Fayetteville, AR, USA, May 3-6, 2020 (pp. 225). IEEE. https://doi.org/10.1109/FCCM48280.2020.00056 (1 page abstract/poster)

Laura M. Streeter, John Gauch, (2020). "Detecting Gestures Through a Gesture-Based Interface to Teach Introductory Programming Concepts," Human-Computer Interaction. Multimodal and Natural Interaction. HCII 2020.

M. Alqahtani, Susan Gauch, O. Salman, M. Ibrahim, R. Alsaffar, (2020). "Diverse Group Formation based on Multiple Demographic Features" (pp. 169-178). Budapest:.

O. Salman, Susan Gauch, M. Ibrahim, M. Alqahtani, R. Alsaffar, (2020). "Incorporating Diversity in Academic Expert Recommendation," (pp. 102-107). Valencia:.

O. Salman, Susan Gauch, M. Alqahtani, M. Ibrahim, (2020). "The Demographic Gap in Conference Committees," (pp. 46-52). Lisbon:.

M. Ibrahim, Susan Gauch, O. Salman, M. Alqahtani, R. AlSaffar, (2020). "Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding" (pp. 1-6). Lis:.

Z. Turner, K. Labille, Susan Gauch, (2020). "Lexicon-based Sentiment Analysis for Stock Movement Prediction." International Journal of Mechanical and Industrial Engineering, 14(5), 185-191.  Also: International Conference on Computational Finance, Methods and Applications (ICCFMA 2020), New York, NY, June 4-5, 2020.

T. Kamucheka, Z. Gui, Miaoqing Huang, H. O. H. Churchill, M. O. El-Shenawee, (2020). "Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna." Proceedings of 2020 International Applied Computational Electromagnetics Society (ACES) Symposium (pp. 1-2).

M. Hasan Doha, A.F. Rawwagah, J. P. Thompson, A. Fereidouni, K. Watanabe, T. Taniguchi, Miaoqing Huang, M. O. El-Shenawee, H. O. H. Churchill, (2020). "THz Photoconductive Antennas Using Thin Black Phosphorus." Proceedings of 2020 American Physical Society March Meeting (pp. 1-2).

T. Kamucheka, Z. Gui, Miaoqing Huang, H. O. H. Churchill, M. O. El-Shenawee, (July 2020) "Benchmark of Acceleware vs XFdtd for Field Simulations of Microstrip Patch Antenna." 2020 International Applied Computational Electromagnetics Society (ACES) Symposium.

M. Hasan Doha, A. F. Rawwagah, J. P. Thompson, A. Fereidouni, K. Watanabe, T. Taniguchi, Miaoqing Huang, M. O. El-Shenawee, H. O. H. Churchill, (March 2020) "THz Photoconductive Antennas Using Thin Black Phosphorus," 2020 American Physical Society March Meeting.

Thi Hoang Ngan Le, Trung Le, T. Bui, Khoa Luu (2020) "Offset Curves Loss for Imbalanced Problem in Medical Segmentation," ICPR.

Thi Hoang Ngan Le, K. Yamazaki, Q. K. Gia, T. D. Truong, M. Savvides, (2020) "A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection Segmentation", ICPR 2020

T. Bui, M. Nguyen, Thi Hoang Ngan Le, Khoa Luu, (2020) "Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation", MICCAI 2020, pp 728-737, October 2020

D. T. Truong, C. N. Duong, Khoa Luu, Thi Hoang Ngan Le, "Domain Generalization via Universal Non-volume Preserving Approach", Computer and Robot Vision, pp 93-100, 13-15 May 2020

J. B. Holliday, Thi Hoang Ngan Le, (July 2020) "Follow Then Forage Exploration: Improving Asynchronous Advantage Actor Critic", International Conference on Soft Computing, Artificial Intelligence and Applications (SAI 2020), pp. 107-118, Canada

K. McClanahan, Qinghua Li, (2020). "Automatically Locating Mitigation Information for Security Vulnerabilities." IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

D. Darling, A. Li, Qinghua Li, (2020). "Automated Bystander Detection and Anonymization in Mobile Photography." EAI International Conference on Security and Privacy in Communication Networks (SecureComm).

F. Zhang, P. Huff, K. McClanahan, Qinghua Li, (2020). "A Machine Learning-based Approach for Automated Vulnerability Remediation Analysis." IEEE Conference on Communications and Network Security (CNS).

F. Zhang, Qinghua Li, (2020). "Dynamic Risk-Aware Patch Scheduling." IEEE Conference on Communications and Network Security (CNS).

T. Kim, J. Ochoa, T. A. Faika, Jia Di, Qinghua Li, Y. Lee (2020). "An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology." IEEE Journal of Emerging and Selected Topics in Power Electronics (Early Access), DOI: 10.1109/JESTPE.2020.2968490, January 21, 2020.

V. Hu, M. Lorga, W. Bao, A. Li, Qinghua Li, A. Gouglidis, (2020). "General Access Control Guidance for Cloud Systems." NIST Special Publication (SP) 800-210.

D. M. Ford, A. Dendukuri, G. Kalyoncu, Khoa Luu, and Matthew J. Patitz, “Machine learning to identify variables in thermodynamically small systems”, Journal of Computers & Chemical Engineering, Volume 141, Number 4, October 2020 (IF: 4.0)

C. N. Duong, T. Truong, Khoa Luu, K. C. Quach, H. Bui, and K. Roy, “Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition”, The IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Pages 6132-6141, Seattle, June 2020. (Oral) (Ranking #1 in Computer Science, H5-index 299).

T. Truong, C. N. Duong, Khoa Luu, M. Tran, and Thi Hoang Ngan Le, “Domain Generalization via Universal Non-volume Preserving Approach”, The 17th Conference on Computer and Robot Vision (CRV), Pages 93-100, Ottawa, May 2020.

T. D. Bui, M. Nguyen, Thi Hoang Ngan Le, and Khoa Luu, “Flow-Based Deformation Guidance for Unpaired Multi-contrast MRI Image-to-Image Translation Authors”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Pages 728-737, October 2020.

S. Burroughs, K. Roy, B. Gokaraju, and Khoa Luu, “Detection Analysis of DeepFake Technology by Reverse Engineering Approach (DREA) of Feature Matching”, International Conference on Machine Intelligence and Smart Systems (MISS), Springer, India, September 2020.

Thi Hoang Ngan Le, Trung Le, K. Yamazaki, T. D. Bui, Khoa Luu, and M. Savides, “Offset Curves Loss for Imbalanced Problem in Medical Segmentation”, International Conference on Pattern Recognition (ICPR), Italy, 2020.

J. J. Ma, Ukash Nakarmi, Kin CYS, C. M. Sandino, J. Y. Cheng, A. B. Syed, P. Wei, J. M. Pauly, S. S. Vasanawala, (2020). Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. (vol. 2020, pp. 337-340).

Ukash Nakarmi, J. Y. Cheng, E. P. Rios, M. Mardani, J. M. Pauly, L. Ying, S. S. Vasanawala, (2020). "Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging." IEEE International Symposium on Biomedical Imaging, (vol. 2020, pp. 1056-1059).

C. Zhang, T. M. Arefin, Ukash Nakarmi, C. H. Lee, H. Li, D. Liang, J. Zhang, L. Ying, (2020). "Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method." Neuroimage, 210, 116584.

G. N. Shetty, K. Slavakis, A. Bose, Ukash Nakarmi, G. Scutari, L. Ying, (2020). "Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery." IEEE transactions on medical imaging, 39(3), 688-702.

Ukash Nakarmi,"Exploiting Multi-Scale Image Features for Accelerating Magnetic Resonance Imaging," ISMRM Workshop on Data Sampling and Image Reconstruction, ISMRM, Enchantment Resort, Sedona, AZ, United States.

Ukash Nakarmi, "Multi-scale Unrolled Deep Learning Network for Accelerated MRI," ISMRM 27th Annual Meeting and Exhibition, International Society of Magnetic Resonance Imaging, Montreal (Remote), Montreal, Canada.

H. Liu, A. Panahi, David L. Andrews, Alex H. Nelson, (2020). "FPGA-Based Gesture Recognition with Capacitive Sensor Array using Recurrent Neural Networks." 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (pp. 225--225).

A. Alazeb, Brajendra Nath Panda, (2020). "Securing Database Integrity in Intelligent Government Systems That Employ Fog Computing Technology."

M. Alshehri, Brajendra Nath Panda, (2020). "Minimizing Data Breach by a Malicious Fog Node within a Fog Federation."

K. Morovat, Brajendra Nath Panda, (2020) “A Survey of Artificial Intelligence in Cybersecurity”, In Proceedings of the 2020 International Conference on Computational Science and Computational Intelligence, Research Track of the Symposium on Cyber Warfare, Cyber Defense, & Cyber Security (CSCI-ISCW), Las Vegas, December 16-18, 2020.

D. Hader, A. Koch, Matthew J. Patitz, M. Sharp, (2020). "The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Universality in the abstract Tile Assembly Model." In S. Chawla (Ed.), Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, Salt Lake City, UT, USA, January 5-8, 2020 (pp. 2607--2624). SIAM. https://doi.org/10.1137/1.9781611975994.159

J. Hendricks, J. Opseth, Matthew J. Patitz, S. M. Summers, (2020). "Hierarchical growth is necessary and (sometimes) sufficient to self-assemble discrete self-similar fractals." Natural Computing, 19(2), 357--374. https://doi.org/10.1007/s11047-019-09777-z

D. M. Ford, A. Dendukuri, G. Kalyoncu, Khoa Luu, Matthew J. Patitz, (2020). "Machine learning to identify variables in thermodynamically small systems." Computers and Chemical Engineering, 141, 106989. https://doi.org/10.1016/j.compchemeng.2020.106989

J. Durand-Lose, J. Hendricks, Matthew J. Patitz, I. Perkins, M. Sharp, (2020). "Self-assembly of 3-D structures using 2-D folding tiles." Natural Computing, 19(2), 337--355. https://doi.org/10.1007/s11047-019-09751-9

M. A. Kabir, D. Petranovic, Yarui Peng, (2020). "Extraction and Optimization for Heterogeneous 2.5D Chiplet-Package Co-Design." International Conference on Computer-Aided Design (pp. 1-8).

T. Evans, S. Mukherjee, Yarui Peng, H. A. Mantooth, (2020). "Electronic Design Automation (EDA) Tools and Considerations for Electro-Thermo-Mechanical Co-Design of High Voltage Power Modules." IEEE Energy Conversion Congress and Exposition (pp. 5046-5052).

S. Mukherjee, Yarui Peng, H. A. Mantooth, (2020). "General Equation to Determine Design Rules for Mitigating Partial Discharge and Electrical Breakdown in Power Module Layouts." IEEE Workshop on Wide Bandgap Power Devices and Applications in Asia.

M. A. Kabir, Yarui Peng, (2020). "Holistic 2.5D Chiplet Design Flow: A 65nm Shared-Block Microcontroller Case Study." IEEE International System-on-Chip Conference.

I. A. Razi, Q. Le, H. A.  Mantooth, Yarui Peng, (2020). "Physical Design Automation for High-Density 3D Power Module Layout Synthesis and Optimization." IEEE Energy Conversion Congress and Exposition (pp. 1984-1991).

M. A. Kabir, Yarui Peng, (2020). "Chiplet-Package Co-Design For 2.5D Systems Using Standard ASIC CAD Tools." Asia and South Pacific Design Automation Conference (pp. 351-356).

Yarui Peng, Q. Le, I. A. Razi, S. Mukherjee, T. Evans, H. A. Mantooth, (2020). "PowerSynth Progression on Layout Optimization for Reliability and Signal Integrity." IEICE Nonlinear Theory and Its Applications, 11(2), 124-144.

K. Hermanns, Yarui Peng, H. A. Mantooth, (2020). "The Increasing Role of Design Automation in Power Electronics: Gathering What Is Needed." IEEE Power Electronics Magazine, 7(1), 46-50.

Lora M. Streeter, and J. M. Gauch, (2020). "Detecting Gestures Through a Gesture-Based Interface to Teach Introductory Programming Concepts." In Lecture Notes in Computer Science (137–153). https://doi.org/10.1007/978-3-030-49062-1_9

K. M. Feye, H. Lekkala, J. A. Lee-Bartlett, Dale R. Thompson, S. C. Ricke, (2020). "Survey analysis of computer science, food science, and cybersecurity skills and coursework of undergraduate and graduate students interested in food safety." Journal of Food Science Education, 19(4), 240-249. https://onlinelibrary.wiley.com/doi/abs/10.1111/1541-4329.12200

K. M. Feye, A. C. Micchichi, P. M. Rubinelli, C. J. Knueven, Dale R. Thompson, M. H. Kogut, S. C. Ricke, (2020). "The Effect of Acid Sanitizers on the Microbiome of Re-use Water." Frontiers in Sustainable Food Systems, 4, 85. https://www.frontiersin.org/article/10.3389/fsufs.2020.00085

K. M. Feye, Dale R. Thompson, M. J. Rothrock, M. H. Kogut, S. C. Ricke, (2020). "Poultry processing and the application of microbiome mapping." Poultry Science, 99(2), 678 - 688. http://www.sciencedirect.com/science/article/pii/S0032579119580695

W. Du, Xintao Wu, (2020). "AdvPL: Adversarial Personalized Learning." In G. I. Webb, Z. Zhang, V. S. Tseng, G. Williams, M. Vlachos, & L. Cao (Eds.), 7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020 (pp. 90--98). IEEE. https://doi.org/10.1109/DSAA49011.2020.00021

S. Shao, Z. Qiu, X. Yu, W. Yang, G. Jin, T. Xie, Xintao Wu, (2020). "Database-Access Performance Antipatterns in Database-Backed Web Applications." IEEE International Conference on Software Maintenance and Evolution, ICSME 2020, Adelaide, Australia, September 28 - October 2, 2020 (pp. 58--69). IEEE. https://doi.org/10.1109/ICSME46990.2020.00016

Y. Hu, Y. Wu, L. Zhang, Xintao Wu, (2020). "Fair Multiple Decision Making Through Soft Interventions." In H. Larochelle, M. Ranzato, R. Hadsell, M.-F. Balcan, & H.-T. Lin (Eds.), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. https://proceedings.neurips.cc/paper/2020/hash/d0921d442ee91b896ad95059d13df618-Abstract.html

W. Huang, Y. Wu, L. Zhang, Xintao Wu, (2020). "Fairness through Equality of Effort." In A. E. F. Seghrouchni, G. Sukthankar, T.-Y. Liu, & M. van Steen (Eds.), Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020 (pp. 743--751). ACM / IW3C2. https://doi.org/10.1145/3366424.3383558

S. Yuan, P. Zheng, Xintao Wu, H. Tong, (2020). "Few-shot Insider Threat Detection." In M. d'Aquin, S. Dietze, C. Hauff, E. Curry, & Philippe Cudr\'e-Mauroux (Eds.), CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 (pp. 2289--2292). ACM. https://doi.org/10.1145/3340531.3412161

W. Huang, Y. Wu, Xintao Wu, (2020). "Multi-cause Discrimination Analysis Using Potential Outcomes." In R. Thomson, H. Bisgin, C. L. Dancy, A. Hyder, & M. Hussain (Eds.), Social, Cultural, and Behavioral Modeling - 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18-21, 2020, Proceedings (vol.12268, pp. 224--234). Springer. https://doi.org/10.1007/978-3-030-61255-9\_22

W. Wang, Xintao Wu, P. Wang, M. Maybury, A. Lu, (2020). "Towards AI-Assisted Smart Training Platform for Future Manufacturing Workforce." Proceedings from the 2020 AAAI Spring Symposium on AI and Manufacturing.

Justin Zhan, (2020). "Semi-Supervised Learning and Self-Learning for Multi-view Big Data Clustering." IEEE International Conference on Big Data.

Justin Zhan, (2020). "A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images." IEEE International Conference on Big Data Workshop on Data Science in Medicine and Healthcare.

Justin Zhan, (2020). "Effective Mutation and Recombination for Evolving Convolutional Networks" (pp. 1-6). Proceedings of the Third International Conference on Applications of Intelligent Systems (ACM).

Justin Zhan, (2020). "Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks." IEEE Access, 8, 82201 - 82214.

Justin Zhan, (2020). "Towards a Novel Generalized Chinese Remainder Algorithm for Extended Rabin Cryptosystem." IEEE Access, 8, 26433-26444.

Y. Hu, Y. Wu, Lu Zhang, X. Wu, (2020). "Fair Multiple Decision Making through Soft Interventions." Neural Information Processing Systems (NeurIPS) 2020.

W. Huang, Y. Wu, Lu Zhang, X. Wu, (2020). "Fairness through Equality of Effort." The WWW Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web.

Y. Hu, Y. Wu, Lu Zhang, X. Wu, (December 2020) "Fair Multiple Decision Making through Soft Interventions." Neural Information Processing Systems (NeurIPS) 2020.