Publications

• Books Edited
1. Security Opportunities in Nano Devices and Emerging Technologies, M. Tehranipoor, D. Forte, G.S. Rose, and S. Bhunia, Eds., CRC Press, 2017. (Link)
• Book Chapters
4. Md Sakib Hasan, Mst Shamim Ara Shawkat, Sherif Amer, Syed Kamrul Islam, Nicole McFarlane, and Garrett S. Rose, Modeling Emerging Semiconductor Devices for Circuit Simulation, in Modeling and Simulation in Engineering, K. Volkov, Ed., IntechOpen, May 2019. (PDF) (DOI Link)
5. Garrett S. Rose, Introduction: Overview of VLSI, Nanoelectronics & Hardware Security, in Security Opportunities in Nano Devices and Emerging Technologies, M. Tehranipoor, D. Forte, G.S. Rose, and S. Bhunia, Eds., CRC Press, 2017. (Link)
6. Cory Merkel, Mesbah Uddin, and Garrett S. Rose, A Chaotic Logic-based Physical Unclonable Computing System, in Security Opportunities in Nano Devices and Emerging Technologies, M. Tehranipoor, D. Forte, G.S. Rose, and S. Bhunia, Eds., CRC Press, 2017. (Link)
7. Md Badruddoja Majumder, Mesbah Uddin, and Garrett S. Rose, Security from Sneak Paths in Crossbar Memory Architectures, in Security Opportunities in Nano Devices and Emerging Technologies, M. Tehranipoor, D. Forte, G.S. Rose, and S. Bhunia, Eds., CRC Press, 2017. (Link)
• Journals
25. Aysha S. Shanta, Md Badruddoja Majumder, Md Sakib Hasan, and Garrett S. Rose, Physically Unclonable and Reconfigurable Computing System (PURCS) for Hardware Security Applications, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. (Published Online: June 2020) (DOI Link)
26. Sagarvarma Sayyaparaju, Md Musabbir Adnan, Sherif Amer, and Garrett S. Rose, Device-Aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning, ACM Journal of Emerging Technologies in Computing Systems, vol. 16, no. 3, article 28, May 2020. (DOI Link)
27. Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, and Nathaniel C. Cady, Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications ACM Journal of Emerging Technologies in Computing Systems, vol. 16, no. 2, article 23, April 2020. (DOI Link)
28. Md Sakib Hasan, Md Badruddoja Majumder, Aysha S. Shanta, Mesbah Uddin, and Garrett S. Rose, A Chaos-based Complex Micro-Instruction Set for Mitigating Instruction Reverse Engineering, Journal of Hardware and Systems Security, no. 2509-3436, November 2019. (DOI Link)
29. Aaron R. Young, Mark E. Dean, James S. Plank, and Garrett S. Rose, A Review of Spiking Neuromorphic Hardware Communication Systems, IEEE Access, vol. 7, pp. 135606-135620, September 2019. (DOI Link)
30. Joseph S. Najem, Md Sakib Hasan, R. Stanley Williams, Ryan J. Weiss, Garrett S. Rose, Graham J. Taylor, Stephen A. Sarles, and C. Patrick Collier, Dynamical nonlinear memory capacitance in biomimetic membranes, Nature Communications, vol. 10, no. 1, July 2019. (DOI Link)
31. Joseph S. Najem, Graham J. Taylor, Nick Armendarez, Ryan J. Weiss, Md Sakib Hasan, Garrett S. Rose, Catherine D. Schuman, Alex Belianov, Stephen A. Sarles, and C. Patrick Collier, Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes, Journal of Visual Experiments (JoVE), no. 145, March 2019. (DOI Link)
32. Md Badruddoja Majumder, Md Sakib Hasan, Mesbah Uddin, and Garrett S. Rose, A Secure Integrity Checking System for Nanoelectronic Resistive RAM, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 27, no. 2, pp. 416-429, February 2019. (Published Online: October 2018) (PDF) (DOI Link)
33. Sherif Amer, Md Sakib Hasan, Md Musabbir Adnan, and Garrett S. Rose, SPICE Modeling of Insulator Metal Transition: Model of the Critical Temperature, IEEE Journal of the Electron Devices Society, vol. 7, pp. 18-25, 2019. (Published Online: October 2018) (DOI Link)
34. James S. Plank, Catherine D. Schuman, Grant Bruer, Mark E. Dean, and Garrett S. Rose, The TENNLab Exploratory Neuromorphic Computing Framework, IEEE Letters of the Computer Society, vol. 1, no. 2, pp. 17-20, July-December 2018. (DOI Link)
35. M. S. Hasan, S. Shamsir, M. S. A. Shawkat, F. Garcia, S. K. Islam and G. S. Rose, Macromodel of G4FET Enabling Fast and Reliable SPICE Simulation for Innovative Circuit Applications, International Journal of High Speed Electronics and Systems, vol. 27, 2018. (DOI Link)
36. Daniel Brown, Ava Hedayatipour, Md. Badruddoja Majumder, Garrett S. Rose, Nicole McFarlane, and Donatello Materassi, A Practical Realization of a Return Map Immune Lorenz Based Chaotic Stream Cipher in Circuitry, IET Computers & Digital Techniques, vol. 12, no. 6, November 2018. (published online September 6, 2018) (DOI Link)
37. Mesbah Uddin, Md Badruddoja Majumder, and Garrett S. Rose, Nanoelectronic Security Designs for Resource-Constrained Internet of Things Devices: Finding Security Solutions with Nanoelectronic Hardwares, IEEE Consumer Electronics Magazine, vol. 7, no. 6, pp. 15-22, November 2018. ((PDF) DOI Link)
38. Thomas E. Potok, Catherine Schuman, Steven Young, Robert Patton, Federico Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, and Gangotree Chakma, A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers, ACM Journal of Emerging Technologies in Computing Systems, vol. 14, no. 2, July 2018. (DOI Link)
39. Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Thomas E. Potok, Catherine Schuman, Steven Young, Robert Patton, Garrett S. Rose, and Gangotree Chakma, Adiabatic Quantum Computation Applied to Deep Learning Networks, Entropy, vol. 20, no. 5, May 2018. (DOI Link)
40. Joseph S. Najem, Graham J. Taylor, Ryan J. Weiss, Md Sakib Hasan, Garrett S. Rose, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, and Stephen A. Sarles, Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics, ACS Nano, vol. 12, no. 5, pp. 4702-4711, March 2018. (DOI Link)
41. Gangotree Chakma, Md Musabbir Adnan, Austin R. Wyer, Ryan Weiss, Cathering D. Schuman, and Garrett S. Rose, Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 8, no. 1, March 2018. (Published Online: November 2017) (PDF) (DOI Link)
42. Sherif Amer, Md Sakib Hasan, and Garrett S. Rose, Analysis and Modeling of Electroforming in Transition Metal Oxide-Based Memristors and Its Impact on Crossbar Array Density, IEEE Electron Device Letters, vol. 39, no. 1, pp. 19-22, January 2018. (Published Online: November 2018) (DOI Link)
43. Mesbah Uddin, Md Badruddoja Majumder, Karsten Beckmann, Harika Manem, Zahiruddin Alamgir, Nathaniel C. Cady, and Garrett S. Rose, Design Considerations for Memristive Crossbar Physical Unclonable Functions, ACM Journal of Emerging Technologies in Computing Systems (JETC), vol. 14, no. 1, March 2018. (PDF) (DOI Link)
44. Mesbah Uddin, Md Badruddoja Majumder, and Garrett S. Rose, Robustness Analysis of a Memristive Crossbar PUF Against Modeling Attacks, IEEE Transactions on Nanotechnology, vol. 16, no. 3, pp. 396-405, May 2017. (PDF) (DOI Link)
45. Jeyavijayan Rajendran, Ramesh Karri, James B. Wendt, Miodrag Potkonjak, Nathan McDonald, Garrett S. Rose, and Bryant Wysocki, Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications, Proceedings of the IEEE, vol. 103, no.5, pp. 829-849, May 2015. (PDF) (DOI Link)
46. Jeyavijayan Rajendran, Ramesh Karri, and Garrett S. Rose, Improving Tolerance to Variations in Memristor-Based Applications Using Parallel Memristors, IEEE Transactions on Computers, vol. 64, no. 3, pp. 733-746, March 2015. (DOI Link)
47. Jeyavijayan Rajendran, Huan Zhang, Chi Zhang, Garrett S. Rose, Youngok Pino, Ozgur Sinanoglu, and Ramesh Karri, Fault Analysis-Based Logic Encryption, IEEE Transactions on Computers, vol. 64, no. 2, pp. 410-424, February 2015. (DOI Link)
48. Ganesh Khedkar, Dhireesha Kudithipudi, and Garrett S. Rose, Power Profile Obfuscation Using Nanoscale Memristive Devices to Counter DPA Attacks, IEEE Transactions on Nanotechnology, vol. 14, no. 1, pp. 26-35, January 2015. (DOI Link)
49. Miao Hu, Hai Li, Yiran Chen, Qing Wu, Garrett S. Rose, and Richard W. Linderman, Memristor Crossbar-Based Neuromorphic Computing System: A Case Study, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp. 1864-1878, October 2014. (DOI Link)
• Conferences
60. Catherine Schuman, J. Parker Mitchell, Maryam Parsa, James Plank, Samuel Brown, Garrett Rose, Robert Patton, and Thomas Potok, Automated Design of Neuromorphic Networks for Scientific Applications at the Edge, to appear in Proceedings of The International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, July 2020.
61. Jonathan Ambrose, Adam Foshie, Mark Dean, James Plank, Garrett Rose, John Mitchell, Catherine Schuman, and Grant Bruer, GRANT: Ground-Roaming Autonomous Neuromorphic Targeter, to appear in Proceedings of The International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, July 2020.
62. Aaron Young, Adam Foshie, Mark Dean, James Plank, Garrett Rose, John Mitchell, and Catherine Schuman, Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks, to appear in Proceedings of The International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, July 2020.
63. Sagarvarma Sayyaparaju, Mst Shamim A. Shawkat, Md Musabbir Adnan, and Garrett S. Rose, Circuit Techniques for Efficient Implementation of Memristor Based Reservoir Computing, to appear in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, October 2020.
64. Samuel D. Brown, Gangotree Chakma, Md Sakib Hasan, and Garrett S. Rose, Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance, in Proceedings of IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genova, Italy, November 2019.
65. Md Musabbir Adnan, Sherif Amer, Sagarvarma Sayyaparaju, Md Sakib Hasan, and Garrett S. Rose, A Scan Register Based Access Scheme for Multilevel Non-Volatile Memristor Memory, in Proceedings of IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genova, Italy, November 2019.
66. Sherif Amer, Md Sakib Hasan, Md Musabbir Adnan, and Garrett S. Rose, Design Considerations for Insulator Metal Transition based Artificial Neurons, in Proceedings of Midwest Symposium on Circuits and Systems (MWSCAS), Dallas, TX, August 2019. (Best Paper Nominee)
67. Aysha S. Shanta, Md Sakib Hasan, Md Badruddoja Majumder, and Garrett S. Rose, Design of a Lightweight Reconfigurable PRNG Using Three Transistor Chaotic Map, in Proceedings of Midwest Symposium on Circuits and Systems (MWSCAS), Dallas, TX, August 2019. (PDF)
68. Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett Rose, Joseph Van Nostrand, Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks, in Proceedings of International Conference on Neuromorphic Systems (ICONS), Knoxville, TN, July 2019. (DOI Link)
69. Mesbah Uddin, Md Sakib Hasan, and Garrett S. Rose, On the Theoretical Analysis of Memristor based True Random Number Generator, Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Washington DC, May 2019. (PDF) (Best Paper Nominee)
70. Md Badruddoja Majumder, Md Sakib Hasan, Aysha Shanta, Mesbah Uddin, and Garrett S. Rose, Design for eliminating operation specific power signatures from digital logic, Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Washington DC, May 2019. (PDF) (Third Place, Best Paper Contest)
71. M. S. Hasan, M. B. Majumder, A. Shanta, M. Uddin and G. S. Rose, Evaluation, Optimization, and Enhancement of Chaos Based Reconfigurable Logic Design, accepted for Proceedings of the IEEE SoutheastCon 2019, Huntsville, AL, Apr 2019. (PDF)
72. M. S. Hasan, S. Amer, Syed K. Islam, and G. S. Rose, Multivariate Cubic Spline: A Versatile DC Modeling Technique Suitable for Different Deep Submicron Transistors, accepted for Proceedings of the IEEE SoutheastCon 2019, Huntsville, AL, Apr 2019. (PDF)
73. Sherif Amer and Garrett Rose, A Multi-Driver Write Scheme for Reliable and Energy Efficient 1S1R ReRAM Crossbar Arrays, accepted for Proceedings of the International Symposium on Quality Electronic Design (ISQED), March 2019. (PDF)
74. Mesbah Uddin, Aysha S. Shanta, Md Badruddoja Majumder, Md Sakib Hasan, and Garrett S. Rose, Memristor Crossbar PUF based Lightweight Hardware Security for IoT, Proceedings of the IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, January 2019. (PDF) (DOI Link)
75. Md Sakib Hasan, Catherine D. Schuman, Joseph S. Najem, Ryan Weiss, Nicholas D. Skuda, Alex Belianov, C. Patrick Collier, Stephen A. Sarles, and Garrett S. Rose, Biomimetic, Soft-Material Synapse for Neuromorphic Computing: from Device to Network, Proceedings of the IEEE Dallas Circuits and Systems Conference (DCAS), Dallas, TX, November 2018. (PDF) (DOI Link)
76. Md Sakib Hasan, Ifana Mahbub, Syed K. Islam, and Garrett S. Rose, A MOS-JFET Macromodel of SOI Four-Gate Transistors (G4FET) to Aid Innovative Circuit Design, Proceedings of the IEEE Dallas Circuits and Systems Conference (DCAS), Dallas, TX, November 2018. (PDF) (DOI Link)
77. Md Sakib Hasan, Joseph S. Najem, Ryan Weiss, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, and Garrett S. Rose, Response of a Memristive Biomembrane and Demonstration of Potential Use in Online Learning, Proceedings of the IEEE Nanotechnology Materials and Devices Conference (NMDC), Portland, OR, October 2018. (PDF) (DOI Link)
78. Ryan Weiss, Joseph S. Najem, Md Sakib Hasan, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles and Garrett S. Rose, A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems, Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS), Cleveland, OH, October 2018. (PDF) (DOI Link)
79. Mesbah Uddin and Garrett S. Rose, A Practical Sense Amplifier Design for Memristive Crossbar Circuits (PUF), Proceedings of the IEEE System-on-Chip Conference (SOCC), Washington, DC, September 2018. (PDF) (DOI Link)
80. Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, and Sung Kyu Lim, A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems, Proceedings of the IEEE System-on-Chip Conference (SOCC), Washington, DC, September 2018. (PDF) (DOI Link)
81. Aysha S. Shanta, Md Badruddoja Majumder, Md Sakib Hasan, Mesbah Uddin, and Garrett S. Rose, Design of a Reconfigurable Chaos Gate with Enhanced Functionality Space in 65nm CMOS, Proceedings of Midwest Symposium on Circuits and Systems (MWSCAS), Windsor, Canada, August 2018. (PDF) (DOI Link)
82. John J.M. Reynolds, James S. Plank, Catherine D. Schuman, Grant R. Bruer, Adam W. Disney, Mark E. Dean, and Garrett S. Rose, A Comparison of Neuromorphic Classification Tasks, Proceedings of the International Conference on Neuromorphic Systems (ICONS), Knoxville, TN, July 2018. (DOI Link)
83. J. Parker Mitchell, Mark E. Dean, Grant R. Bruer, James S. Plank, and Garrett S. Rose, DANNA 2: Dynamic Adaptive Neural Network Arrays, Proceedings of the International Conference on Neuromorphic Systems (ICONS), Knoxville, TN, July 2018. (DOI Link)
84. Sagarvarma Sayyaparaju, Ryan Weiss, and G.S. Rose, A Mixed-Mode Neuron with On-chip Tunability for Generic Use in Memristive Neuromorphic Systems, Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Hong Kong, China, July 2018. (PDF) (DOI Link)
85. Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, and Catherine D. Schuman, Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018. (DOI Link)
86. Md Musabbir Adnan, Sherif Amer, and Garrett S. Rose, A Novel Scan-In Scheme for CMOS/ReRAM Programmable Logic Circuits, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, May, 2018. (PDF) (DOI Link)
87. Nicholas D. Skuda, Catherine Schuman, Gangotree Chakma, James S. Plank, and Garrett S. Rose, High-Level Simulation for Spiking Neuromorphic Computing Systems, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, May, 2018. (PDF) (DOI Link)
88. Gangotree Chakma, Nicholas D. Skuda, Catherine D. Schuman, James S. Plank, Mark E. Dean, and Garrett S. Rose, Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices, Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Chicago, IL, May 2018. (PDF) (DOI Link)
89. Md Badruddoja Majumder, Md Sakib Hasan, Mesbah Uddin, and Garrett S. Rose, Chaos Computing for Mitigating Power Analysis Attacks, Proceedings of IEEE International Symposium on Hardware Oriented Security and Trust (HOST), Washington, DC, May 2018.
90. Sagarvarma Sayyaparaju, Sherif Amer, and Garrett S. Rose, A Bi-Memristor Synapse with Spike-Timing-Dependent Plasticity for On-Chip Learning in Memristive Neuromorphic Systems, Proceedings of the International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, March 2018. (PDF) (DOI Link)
91. Nathaniel Cady, Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Ryan Weiss, Sagarvarma Sayyaparaju, Mussabir Adnan, John Murray, Mark Dean, James Plank, Garrett Rose, and Joseph Van Nostrand, Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture, Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech), Miami, FL, March 2018. (PDF)
92. Catherine D. Schuman, Raphael Pooser, Tiffany Mintz, Md Musabbir Adnan, Garrett S. Rose, Bon Woong Ku, and Sung Kyu Lim, Simulating and Estimating the Behavior of a Neuromorphic Co-Processor, Proceedings of the International Workshop on Post-Moores Era Supercomputing (PMES), Denver, CO, November 2017. (DOI Link)
93. James S. Plank, Garrett S. Rose, Mark E. Dean, Catherine D. Schuman, and Nathaniel C. Cady, A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications, Proceedings of the IEEE International Conference on Rebooting Computing (ICRC), Washington, DC, November 2017. (DOI Link)
94. J. Parker Mitchell, Grant Bruer, Mark E. Dean, James S. Plank, Garrett S. Rose, and Catherine D. Schuman, NeoN: Neuromorphic Control for Autonomous Robotic Navigation, Proceedings of the IEEE International Symposium on Robotics and Intelligent Sensors, Ottawa, ON, Canada, October 2017. (DOI Link)
95. Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, and Nouamane Laanait, A Programming Framework for Neuromorphic Systems with Emerging Technologies, Proceedings of the ACM International Conference on Nanoscale Computing and Communication (NanoCom), Washington, DC, September 2017. (DOI Link)
96. Ryan Weiss, Gangotree Chakma, and Garrett S. Rose, A Synchronized Axon Hillock Neuron for Memristive Neuromorphic Systems, Proceedings of the IEEE Midwest Symposium on Circuits and Systems (MWSCAS), Boston, MA, August 2017. (DOI Link) (Third Place, Student Paper Contest)
97. Sherif Amer, Garrett S. Rose, Karsten Beckmann, and Natheniel C. Cady, Design Techniques for In-Field Memristor Forming Circuits, Proceedings of the IEEE Midwest Symposium on Circuits and Systems (MWSCAS), Boston, MA, August 2017. (PDF) (DOI Link)
98. Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss, and Garrett S. Rose, A Mixed-Signal Approach to Memristive Neuromorphic System Design, Proceedings of the IEEE Midwest Symposium on Circuits and Systems (MWSCAS), Boston, MA, August 2017. (PDF) (DOI Link)
99. Austin Wyer, Md Musabbir Adnan, Bon Woong Ku, Sung Kyu Lim, Catherine D. Schuman, Raphael C. Pooser, and Garrett S. Rose, Evaluating Online-Learning in Memristive Neuromorphic Circuits, Proceedings of the Neuromorphic Computing Symposium, Knoxville, TN, July 2017. (DOI Link)
100. Catherine D. Schuman, Thomas E. Potok, Steven Young, Robert Patton, Gabriel Perdue, Gangotree Chakma, Austin Wyer, and Garrett S. Rose, Neuromorphic Computing for Temporal Scientific Data Classification, Proceedings of the Neuromorphic Computing Symposium, Knoxville, TN, July 2017. (DOI Link)
101. Garrett S. Rose, Md. Badruddoja Majumder, and Mesbah Uddin, Exploiting Memristive Crossbar Memories as Dual-Use Security Primitives in IoT Devices, Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Bochum, Germany, July 2017. (PDF) (DOI Link)
102. Sherif Amer, Sagarvarma Sayyaparaju, Garrett S. Rose, Karsten Beckmann, and Nathaniel C. Cady, A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, May 2017. (PDF) (DOI Link)
103. Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer, and Garrett S. Rose, Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems, Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Banff, Alberta, Canada, May 2017. (PDF) (DOI Link)
104. Wilkie Olin-Ammentorp, Karsten Beckmann, Joseph E. Van Nostrand, Garrett S. Rose, Mark E. Dean, James S. Plank, Gangotree Chakma, and Nathaniel C. Cady, Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications, Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech), Reno, NV, March 2017. (PDF)
105. James S. Plank, Garrett S. Rose, Mark E. Dean, and Catherine D. Schuman, A CAD System for Exploring Neuromorphic Computing with Emerging Technologies, Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech), Reno, NV, March 2017. (PDF)
106. Md. Badruddoja Majumder, Mesbah Uddin, Garrett S. Rose, and Jeyavijayan Rajendran, Sneak Path Enabled Authentication for Memristive Crossbar Memories, Proceedings of the IEEE Asian Hardware-Oriented Security and Trust Symposium (AsianHOST), Jiaoxi, Taiwan, Dec. 2016. (PDF) (DOI Link)
107. Thomas Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett Rose, and Gangotree Chakma, A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers, Proceedings of the Workshop on Machine Learning in HPC Environments (MLHPC), Salt Lake City, UT, November 2016. (DOI Link)
108. Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean, James S. Plank, and Garrett S. Rose, Neuromorphic Computing: A Post-Moore’s Law Complementary Architecture, International Workshop on Post-Moore's Era Supercomputing (PMES), Salt Lake City, UT, November 2016. (PDF)
109. Gangotree Chakma, Mark E. Dean, Garrett S. Rose, Karsten Beckmann, Harika Manem, and Nathaniel C. Cady, A Hafnium-Oxide Memristive Dynamic Adaptive Neural Network Array, International Workshop on Post-Moore's Era Supercomputing (PMES), Salt Lake City, UT, November 2016. (PDF)
110. Mesbah Uddin, Md. Badruddoja Majumder, Garrett S. Rose, Karsten Beckmann, Harika Manem, Zahiruddin Alamgir, and Nathaniel C. Cady, Techniques for Improved Reliability in Memristive Crossbar PUF Circuits, Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pittsburgh, PA, July 2016. (PDF) (DOI Link)
111. Garrett S. Rose, Mesbah Uddin, and Md. Badruddoja Majumder, A Designer's Rationale for Nanoelectronic Hardware Security Primitives, Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pittsburgh, PA, July 2016. (PDF) (DOI Link)
112. Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, and Catherine D. Schuman, An Application Development Platform for Neuromorphic Computing, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, July 2016. (DOI Link)
113. Garrett S. Rose, Security Meets Nanoelectronics for Internet of Things Applications, Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), Boston, MA, May 2016. (DOI Link)
114. Christopher Daffron, Jason Chan, Adam Disney, Luke Bechtel, Ryan Wagner, Mark E. Dean, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, and Catherine D. Schuman, Extensions and Enhancements for the DANNA Neuromorphic Architecture, Proceedings of IEEE SoutheastCon, Norfolk, VA, March 2016. (DOI Link)
115. Nathaniel C. Cady, Karsten Beckmann, Harika Manem, Mark E. Dean, Garrett S. Rose, and Joseph E. Van Nostrand, Towards Memristive Dynamic Adaptive Neural Network Arrays, Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech), Orlando, FL, March 2016.
116. James Bohl, Lok-Kwong Yan, and Garrett S. Rose, A Two-Dimensional Chaotic Logic Gate for Improved Computer Security, Proceedings of the Midwest Symposium on Circuits and Systems (MWSCAS), Fort Collins, CO, August 2015. (DOI Link)
117. Garrett S. Rose and Chauncey A. Meade, Performance Analysis of a Memristive Crossbar PUF Design, Proceedings of the Design Automation Conference (DAC), San Francisco, CA, June 2015. (DOI Link)
118. Dhireesha Kudithipudi, Cory Merkel, Yu Kee Ooi, Quitaba Saleh, and Garrett S. Rose, On Designing Circuit Primitives for Cortical Processors with Memristive Hardware, Proceedings of the International IEEE System-on-Chip Conference (SOCC), Las Vegas, NV, September 2014. (DOI Link)
119. Garrett S. Rose, A Chaos-based Arithmetic Logic Unit and Implications for Obfuscation, Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Tampa, FL, July 2014. (DOI Link)
• Theses and Dissertations
4. Sherif Amer, Device Modeling and Circuit Design for Neuromorphic Memory Structures, PhD Dissertation, The University of Tennessee, Knoxville, 2019. (TRACE Link)
5. Gangotree Chakma, Design of a CMOS-Memristive Mixed-Signal Neuromorphic System with Energy and Area Efficiency in System Level Applications, PhD Dissertation, The University of Tennessee, Knoxville, 2019. (TRACE Link)
6. Ryan J. Weiss, Analog Axon Hillock Neuron Design for Memristive Neuromorphic Systems, Master's Thesis, The University of Tennessee, Knoxville, 2017. (TRACE Link)
7. Austin R. Wyer, The Synthesis of Memristive Neuromorphic Circuits, Master's Thesis, The University of Tennessee, Knoxville, 2017. (TRACE Link)