Amlan Ganguly

Professor
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Journal Paper

Ganguly, A., et al. "Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips." ACM Transactions on Embedded Computing Systems 18. 5 (2019): 0-20. Print. *

Ganguly, A., et al. "Securing a Wireless Network-on-Chip Against Jamming-Based Denial-of-Service and Eavesdropping Attacks." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27. 12 (2019): 2781-2791. Print. *

Ganguly, A., et al. "Intra- and Inter-Chip Transmission of Millimeter-Wave Interconnects in NoC-Based Multi-Chip Systems." IEEE Access 7. (2019): 112200-112215. Print. *

Ganguly, Amlan, et al. "Energy Efficient Chip-to-Chip Wireless Interconnection for Heterogeneous Architectures." ACM Trans. Des. Autom. Electron. Syst. 24. 5 (2019): 0-27. Print. *

Ganguly, Amlan, et al. "Evaluation of Wireless Network-on-Chip Architectures with Microchannel-Based Cooling in 3D Multicore Chips." Elsevier Journal on Sustainable Computing: Informatics and Systems 21. (2019): 165-178. Print. *

Published Conference Proceedings

Ganguly, A., et al. "Multimodal Localization for Autonomous Agents." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. Andrew Woods, Curtin University (Australia) and Radka Tezaur, Intel Corporation (US). San Francisco, CA: n.p., 2019. Web. «

Ganguly, A., et al. "Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching." Proceedings of the In Proceedings of the 2019 Institute of Industrial and Systems Engineers Conference. Ed. Young-Jun Son, University of Arizona. Orlando, FL: n.p., 2019. Web. «

Li, Maojia Patrick, et al. "Task Selection by Autonomous Mobile Robots in a Warehouse Using Deep Reinforcement Learning." Proceedings of the 2019 Winter Simulation Conference. Ed. Young-Jun Son, University of Arizona. National Harbor, MD: n.p., 2019. Web. «

Vashist, A., et al. "Securing a Wireless Network-on-Chip against Jamming based Denial-of-Service Attacks." Proceedings of the Proceedings of IEEE Symposium on VLSI (ISVLSI). Ed. Wujie Wen, Florida International University, USA, Yiran Chen, Duke University, USA, and Saraju P. Mohanty, University of North Texas, USA. Miami, Florida: n.p., 2019. Web. «

Pudukotai, S. M. D, et al. "Unified Testing and Security Framework for Wireless Network-on-Chip Enabled Multi-Core Chips." Proceedings of the Proceedings of International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS). Ed. Sudeep Pasricha, Colorado State University. New York City, NY: n.p., 2019. Web. «

Mamun, S. A., et al. "Network-aware Server Consolidation for Wireless Data Centers." Proceedings of the 10th IEEE International Conference on the Network of the Future (NoF’19). Ed. Filip Idzikowski, Poznań University of Technology, Poland. Rome, Italy: n.p., 2019. Print. «

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Andres Kwasinski

Professor
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Journal Paper

Kwon, Youngsung, Alexis Kwasinski, and Andres Kwasinski. "Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables." Energies 12. 8 (2019): 1529, 2019. Print. *

Book Chapter

Kwasinski, Andres, Wenbo Wang, and Fatemeh Shah Mohammadi. "Reinforcement Learning for Resource Allocation in Cognitive Radio Networks." Machine Learning for Future Wireless Communications. Ed. Fa-Long Luo. New York, NY: Wiley, 2019. 27-44. Print.

Published Conference Proceedings

Hartpence, Bruce and Andres Kwasinski. "Considering the Blackbox: An Investigation of Optimization Techniques with Completely Balanced Datasets of Packet Traffic." Proceedings of the 2nd Workshop on Big Data for CyberSecurity (BigCyber-2019) in IEEE BigData 2019 conference. Ed. N/A. Los Angeles, CA: n.p., Print. *

Li, Maojia Patrick, et al. "Task Selection by Autonomous Mobile Robots in a Warehouse Using Deep Reinforcement Learning." Proceedings of the Winter Simulation Conference. Ed. IEEE. National Harbor, MD: n.p., Print. *

Mamun, Sayed Ashraf, et al. "Network-Aware Server Consolidation for Wireless Data Centers." Proceedings of the 10th International Conference on Networks of the Future (NoF). Ed. IEEE. Rome, Italy: n.p., Print. *

hartpence, Bruce and Andres Kwasinski. "Fast Internet Packet and Flow Classification Based on Artificial Neural Networks." Proceedings of the IEEE SoutheastCon. Ed. IEEE. Huntsville, AL: n.p., Print. *

Chitnavis, Snehal and Andres Kwasinski. "Cross Layer Routing in Cognitive Radio Networks using Deep Reinforcement Learning." Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC). Ed. IEEE. Marrakesh, Morocco: n.p., Print. *

Relyea, Robert, et al. "Multimodal Localization for Autonomous Agents." Proceedings of the Electronic Imaging. Ed. Society for Imaging Sciences and Technology. Burlingame, CA: n.p., Print. *

Provisional Patent

Kwasinski, Andres and Fatemeh Shah Mohammadi. "Radio Spectrum Sharing Leveraging Link Adaptation in Primary Network." U.S. Provisional Patent Application 16452706. 26 Dec. 2019.

Ganguly, Amlan, et al. "Direct Server-to-Server Wireless Data Center Network and Method thereof." U.S. Provisional Patent Application 16388007. 24 Oct. 2019.

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Alexander Loui

Professor of Practice
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Full Patent

Loui, Alexander and Lei Fan. "Graph-based Framework for Video Object Segmentation and Extraction in Feature Space." U.S. Patent 10,192,117. 29 Jan. 2019.

Loui, Alexander and Chi Zhang. "System and Method for Coarse-to-fine Video Object Segmentation and Re-composition." U.S. Patent 10,229,340. 12 Mar. 2019.

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Cory Merkel

Assistant Professor
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Published Conference Proceedings

Jones, Alex, et al. "A Segmented Attractor Network for Neuromorphic Associative Learning." Proceedings of the International Conference on Neuromorphic Systems. Ed. N/A. Knoxville, Tennessee: n.p., Web. *

Merkel, Cory and Animesh Nikam. "A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing." Proceedings of the International Conference on Neuromorphic Systems. Ed. N/A. Knoxville, Tennessee: n.p., Web. *

Langroudi, Hamed, et al. "Exploiting Randomness in Deep Learning Algorithms." Proceedings of the International Joint Conference on Neural Networks. Ed. N/A. Budapest, Hungary: n.p., Web. *

Merkel, Cory. "Current-Mode Memristor Crossbars for Neuromorphic Computing." Proceedings of the Neuro Inspired Computational Elements. Ed. N/A. Albany, New York: n.p., Web. *

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Raymond Ptucha

Associate Professor
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Published Conference Proceedings

Li, Maojia, et al. "Task Selection by Autonomous Mobile Robots in a Warehouse Using Deep Reinforcement Learning." Proceedings of the 2019 Winter Simulation Conference. Ed. IEEE. National Harbor, MD: n.p., Web. «

Seng, S., et al. "Towards Robust Open-World Detection of Deepfakes." Proceedings of the 26th ACM Conference on Computer and Communications Security. Ed. ACM. London, England: ACM, Web. «

Saraf, M., et al. "Multimodal Anticipated verses Actual Perceptual Reactions." Proceedings of the ACM International Conference on Multimodal Interaction. Ed. ACM. Suzhou, Jiangsu, China: n.p., 2019. Web. «

Gopalakrishnan, S., et al. "Reference Vector Space for Multi-Modal Embeddings,." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Conference. Ed. IEEE. Washington DC, District of Columbia: n.p., 2019. Web. «

Dominguez, M., et al. "Evolution of Graph Classifiers." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, New York: n.p., 2019. Web. «

Thai, B., et al. "Synthetic Data Augmentation for Improving Low-resource ASR." Proceedings of the Western NY Image & Signal Processing Workshop. Ed. IEEE. Rochester, New York: n.p., Web. «

Peri, D., S. Sah, and R. Ptucha. "Show, Translate, and Tell." Proceedings of the International Conference on Image Processing. Ed. IEEE. Taipei, Taiwan: n.p., Web. «

Longman, R. and R. Ptucha. "Embedded CycleGAN for Shape-agnostic Image-to-Image Translation." Proceedings of the International Conference on Image Processing. Ed. IEEE. Taipei, Taiwan: n.p., Web. «

Yuan, T., et al. "Large Scale Sign Language Interpretation." Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition. Ed. IEEE. Lille, France: n.p., Web. «

Hannon, D., et al. "A Human Factors Engineering Education Perspective on Data Science, Machine Learning and Automation." Proceedings of the Human Factors & Ergonomics Society. Ed. ACM. Seattle, WA: n.p., Web. «

Sankaran, P., et al. "Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching." Proceedings of the Simulation Analysis of a Highway DNN for Autonomous Forklift Dispatching. Ed. IISE. Orlando, Fl: n.p., Web. «

Ptucha, R., et al. "Object Recognition, Identification and Classification for Intelligent Surveillance and Reconnaissance Platforms." Proceedings of the SPIE Defense & Commercial Sensing. Ed. SPIE. Baltimore, MD: n.p., Web. «

Jimerson, R., et al. "Speech Technology for Supporting Community-based Endangered Language Documentation." Proceedings of the 6th International Workshop on Language Documentation and Conservation (ICLDC). Ed. IEEE. Honolulu, Hawaii: n.p., Web. «

Relyea, R., et al. "Multimodal Localization for Autonomous Agents." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. SPIE. San Francisco, CA: n.p., Web. «

Carmichael, Z., et al. "Autonomous Navigation Using Localization Priors, Sensor Fusion, and Terrain Classification." Proceedings of the Proceedings of Electronic Imaging: Image Processing Algorithms and Systems. Ed. SPIE. San Francisco, CA: n.p., Web. «

Invited Keynote/Presentation

Ptucha, R. "Graph Convolutional Neural Networks and the Machine Intelligence Laboratory." Department of Computer Science and Engineering Seminar. University at Buffalo. Buffalo, NY. 16 Aug. 2019. Guest Lecture. ∆

Ptucha, R. "What is and How Will Machine Learning Change our Lives." Keynote at the 2019 Engineering Symposium. Rochester Engineering Society. Rochestere, NY. 23 Apr. 2019. Keynote Speech. ∆

Ptucha, R. "Introduction to Deep Learning for Facial and Gesture Analysis." Tutorial at Automatic Face and Gesture Recognition Conference. IEEE. Lille, France. 20 May 2019. Lecture. ∆

Ptucha, R. "Fundamentals of Deep Learning." Tutorial at Electronic Imaging. SPIE. San Francisco, CA. 15 Jan. 2019. Lecture. ∆

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Andreas Savakis

Professor
Computer Engineering
Kate Gleason College of Engineering

2019 Submissions

Journal Paper

Savakis, A., et al. "Change Detection in Satellite Imagery with Region Proposal Networks." Defense Systems Information Analysis Center (DSIAC) Journal. (2019): 22-28. Print. *

Minnehan, B. and A. Savakis. "Deep Domain Adaptation with Manifold Aligned Label Transfer." Machine Vision and Applications 30. (2019): 473–485. Web. *

Minnehan, B. and A. Savakis. "Grassmann Manifold Optimization for Fast-Norm Principal Component Analysis." Signal Processing Letters. (2019): 242-246. Print. *

Artacho, B. and A. Savakis. "Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation." Sensors. (2019): 5361-5378. Web. *

Published Conference Proceedings

Rahman, F., B. Vasu, and A. Savakis. "Resilience and Self Healing of Deep Convolutional Object Detectors." Proceedings of the International Conf. on Image Processing (ICIP). Ed. IEEE. Athens, Greece: IEEE, 2018. Web. *

Minnehan, B. and A. Taufique. "Fully Convolutional Adaptive Tracker with Real Time Performance." Proceedings of the Defense and Commercial Sensing, Geospatial Informatics Conference. Ed. SPIE. Baltimore, MD: SPIE, 2019. Web. *

Taufique, A. M. N. and A. Savakis. "Automatic Quantification of Facial Asymmetry Using Facial Landmarks." Proceedings of the IEEE Western New York Signal and Image Processing Workshop. Ed. IEEE. Rochester, NY: IEEE, 2019. Web. *

Minnehan, B. and A. Savakis. "Cascaded Projection: End-To-End Network Compression and Acceleration." Proceedings of the Computer Vision and Pattern Recognition (CVPR). Ed. IEEE. Long Beach, CA: IEEE, 2019. Web. «

Peer Reviewed/Juried Poster Presentation or Conference Paper

Vasu, B. and A. Savakis. "Visualizing the Resilience of Deep Convolutional Network Interpretations." Proceedings of the Computer Vision and Pattern Recognition (CVPR). Ed. IEEE. Long Beach, CA: IEEE`. *

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