[{"id":959,"date":"2022-03-17T12:48:46","date_gmt":"2022-03-17T16:48:46","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=959"},"modified":"2022-03-17T12:48:46","modified_gmt":"2022-03-17T16:48:46","slug":"previous-editions","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/previous-editions\/","title":{"rendered":"Previous Editions"},"content":{"rendered":"<ul>\n<li><a href=\"https:\/\/ornlcda.github.io\/icons2019\/index.html\">ICONS 2019<\/a><\/li>\n<li><a href=\"https:\/\/ornlcda.github.io\/icons2018\/\">ICONS 2018<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>ICONS 2019 ICONS 2018<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-959","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/959","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=959"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/959\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=959"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":954,"date":"2021-03-15T22:57:15","date_gmt":"2021-03-16T02:57:15","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=954"},"modified":"2021-03-15T22:57:15","modified_gmt":"2021-03-16T02:57:15","slug":"students-icons","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/students-icons\/","title":{"rendered":"Students @ ICONS"},"content":{"rendered":"<p>We have student programs at ICONS 2020:<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Virtual Student Poster Competition<\/strong><\/p>\n<p>This is a virtual poster competition! Undergraduate and graduate students are eligible for the competition. This year&#8217;s poster competition will be virtual, with each student submitting a 3-minute video describing their poster. The student can choose to do a typical &#8220;poster&#8221; format, or they can choose to present their work in a more unconventional way in the video! We will have a poster &#8220;networking&#8221; session during the conference dates July 28-30, during which conference attendees can interact in real time with poster presenters.<\/p>\n<p><strong>Submit Your Entry<\/strong>: Submit to participate in the virtual student poster competition <a href=\"https:\/\/forms.gle\/AqJyX1VByaJCEkZX6\">here.<\/a><\/p>\n<p><strong>Submission Deadline<\/strong>: June 26, 2020 AoE<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Virtual Doctoral Consortium<\/strong><\/p>\n<p>For the first time, ICONS 2020 will host a virtual doctoral consortium. PhD students who are currently working on their dissertation research and would like feedback from the ICONS community are eligible to participate. Doctoral consortium participants will provide 8-10 minute videos describing their dissertation work ahead of ICONS 2020. During the virtual meeting, doctoral consortium participants will have the opportunity to interact with conference participants and receive feedback about their research.<\/p>\n<p><strong>Submit Your Entry<\/strong>: Submit to participate in the virtual doctoral consortium <a href=\"https:\/\/forms.gle\/erjuZZ1Ghb4e7tsp9\">here<\/a>.<\/p>\n<p><strong>Submission Deadline<\/strong>: June 26, 2020 AoE<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We have student programs at ICONS 2020: &nbsp; Virtual Student Poster Competition This is a virtual poster competition! Undergraduate and graduate students are eligible for the competition. This year&#8217;s poster competition will be virtual, with each student submitting a 3-minute video describing their poster. The student can choose to do a typical &#8220;poster&#8221; format, or [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-954","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/954","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=954"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/954\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=954"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":951,"date":"2021-03-15T22:56:49","date_gmt":"2021-03-16T02:56:49","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=951"},"modified":"2021-03-15T22:56:49","modified_gmt":"2021-03-16T02:56:49","slug":"sponsors","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/sponsors\/","title":{"rendered":"Sponsors"},"content":{"rendered":"<p>ICONS 2020 is in-cooperation with <a href=\"https:\/\/www.sigda.org\/\">ACM SIGDA<\/a>, the Special Interest Group on Design Automation.<\/p>\n<p>ICONS 2020 proceedings are published through <a href=\"https:\/\/www.acm.org\/publications\/icps-series\">ACM ICPS<\/a>, the International Conference Proceedings Series.<\/p>\n<p>ICONS 2020 is also endorsed by <a href=\"https:\/\/www.jsap.or.jp\/english\">JSAP<\/a>, the Japan Society of Applied Physics.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ICONS 2020 is in-cooperation with ACM SIGDA, the Special Interest Group on Design Automation. ICONS 2020 proceedings are published through ACM ICPS, the International Conference Proceedings Series. ICONS 2020 is also endorsed by JSAP, the Japan Society of Applied Physics. &nbsp; &nbsp; &nbsp;<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-951","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=951"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/951\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":946,"date":"2021-03-15T22:52:11","date_gmt":"2021-03-16T02:52:11","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=946"},"modified":"2021-03-15T22:58:58","modified_gmt":"2021-03-16T02:58:58","slug":"speakers","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/speakers\/","title":{"rendered":"Speakers"},"content":{"rendered":"<p><strong><a href=\"https:\/\/homepages.cwi.nl\/~sbohte\/\">Sander M. Boht\u00e9<\/a><\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-751 size-medium\" src=\"https:\/\/iconsconf.wpenginepowered.com\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte-300x300.jpeg\" alt=\"Sander Bohte Image\" width=\"300\" height=\"300\" srcset=\"https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte-300x300.jpeg 300w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte-150x150.jpeg 150w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte-303x303.jpeg 303w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte-460x460.jpeg 460w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/03\/Bohte.jpeg 512w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><strong><em>Prof. Dr. Sander M. Boht\u00e9<\/em><\/strong> is a senior researcher and PI in the CWI Machine Learning group, and also a part-time full professor of Cognitive Computational Neuroscience at the University of Amsterdam and a part-time full professor of Bio-Inspired Neural Networks at the Rijksuniversiteit Groningen, The Netherlands. He received his PhD in 2003 at CWI on the topic of &#8220;Spiking Neural Networks&#8221;. He was then awarded an NWO TALENT grant, which he spent with Michael Mozer at the University of Colorado in Boulder. In 2004, he rejoined CWI as junior permanent staff to work on distributed spiking neural network models and multi-agent systems. In 2016, he co-founded the CWI Machine Learning group, where his research bridges the field of neuroscience with applications thereof as advanced neural networks. His work has been pioneering in the development of advanced and efficient spiking neural networks, including seminar work on supervised learning with spike-time coded networks. Recent work has also developed biologically plausible deep learning and deep reinforcement learning models for cognition, and spiking neural network versions thereof. For many years, he has been an associate editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and has also been a guest editor for such journals as <em>Natural Computing<\/em>, <em>Neural Processing Letters, <\/em>and <em>Frontiers in Computational Neuroscience<\/em>.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/www.bioeng.t.u-tokyo.ac.jp\/en\/faculty\/21_hirose.html\"><strong>Akira Hirose<\/strong><\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-802 size-medium\" src=\"https:\/\/iconsconf.wpenginepowered.com\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-240x300.jpg\" alt=\"Akira Hirose Image\" width=\"240\" height=\"300\" srcset=\"https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-240x300.jpg 240w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-819x1024.jpg 819w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-768x960.jpg 768w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-242x303.jpg 242w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose-368x460.jpg 368w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/AkiraHirose.jpg 1060w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/><\/p>\n<p>Prof. Akira Hirose is Professor with the Department of Electrical Engineering and Information Systems, The University of Tokyo. He received his Ph.D. degree in electronic engineering from The University of Tokyo in 1991. His current research interests include wireless electronics and neural networks.<\/p>\n<p>He served as Founding President for Asia Pacific Neural Network Society in 2016, President for JNNS from 2013 to 2015, Vice President for IEICE Electronics Society from 2013 to 2015. He was the General Chair of the 2013 Asia-Pacific Conference on Synthetic Aperture Radar, Tsukuba, the 2016 International Conference on Neural Information Processing, Kyoto, and the 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama. Currently he serves as the Chair for Complex-Valued Neural Network Task Force in IEEE Computational Intelligence Society Neural Network Technical Committee. He was the Editor-in-Chief of IEICE Transactions on Electronics from 2011 to 2012, and Associate Editor of journals such as the IEEE TRANSACTIONS ON NEURAL NETWORKS from 2009 to 2011 and the IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER from 2009 to 2012. He is currently Associate Editor of IEICE ELEX (2020-) and IEEE TRANSACTIONS ON NEURAL NETWORKS AND LERNING SYSTEMS (2019-).<\/p>\n<p>He is a Fellow of The IEEE and The Institute of Electronics, Information and Communication Engineers (IEICE), and a member of Japanese Neural Network Society (JNNS) and Asia-Pacific Neural Network Society (APNNS).<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/be.ucsd.edu\/content\/gert-cauwenberghs\"><strong>Gert Cauwenberghs<\/strong><\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-807 size-medium\" src=\"https:\/\/iconsconf.wpenginepowered.com\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs-238x300.jpg\" alt=\"Gert Cauwenberghs Image\" width=\"238\" height=\"300\" srcset=\"https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs-238x300.jpg 238w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs-768x968.jpg 768w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs-240x303.jpg 240w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs-365x460.jpg 365w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Cauwenberghs.jpg 801w\" sizes=\"auto, (max-width: 238px) 100vw, 238px\" \/><\/p>\n<p>Gert Cauwenberghs is Professor of Bioengineering and Co-Director of the Institute for Neural Computation at UC San Diego, La Jolla CA.\u00a0 He received the Ph.D. degree in Electrical Engineering from California Institute of Technology, Pasadena in 1994, and was previously Professor of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, and Visiting Professor of Brain and Cognitive Science at Massachusetts Institute of Technology, Cambridge.\u00a0 He co-founded Cognionics Inc. and chairs its Scientific Advisory Board.\u00a0 His research focuses on micropower biomedical instrumentation, neuron-silicon and brain-machine interfaces, neuromorphic engineering, and adaptive intelligent systems.\u00a0 He received the NSF Career Award in 1997, ONR Young Investigator Award in 1999, and Presidential Early Career Award for Scientists and Engineers in 2000.\u00a0 He was a Francqui Fellow of the Belgian American Educational Foundation, and is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute for Medical and Biological Engineering.\u00a0 He served IEEE in a variety of roles including as Distinguished Lecturer of the IEEE Circuits and Systems Society, as General Chair of the IEEE Biomedical Circuits and Systems Conference (BioCAS 2011, San Diego), as Program Chair of the IEEE Engineering in Medicine and Biology Conference (EMBC 2012, San Diego), and as Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/ece.ucsd.edu\/profile-on-ece-professor-duygu-kuzum\"><strong>Duygu Kuzum<\/strong><\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-810 size-medium\" src=\"https:\/\/iconsconf.wpenginepowered.com\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Kuzum-214x300.png\" alt=\"Dugyu Kuzum Image\" width=\"214\" height=\"300\" srcset=\"https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Kuzum-214x300.png 214w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Kuzum-216x303.png 216w, https:\/\/icons.ornl.gov\/2020\/wp-content\/uploads\/sites\/2\/2020\/06\/Kuzum.png 224w\" sizes=\"auto, (max-width: 214px) 100vw, 214px\" \/><\/p>\n<p>Duygu Kuzum received her Ph.D in Electrical Engineering from Stanford University in 2010. She is currently an Associate Professor in Electrical and Computer Engineering Department at University of California, San Diego. Her research focuses on applying innovations in nanoelectronics to develop new technologies, which will help to better understand circuit-level computation in the brain. She develops nanoelectronic synaptic devices for energy-efficient neuro-inspired computing. She is the author or coauthor of over 50 journal and conference papers. She was a recipient of a number of awards, including Texas Instruments Fellowship and Intel Foundation Fellowship, Penn Neuroscience Pilot Innovative Research Award (2014), Innovators under 35 (TR35) by MIT Technology Review (2014), ONR Young Investigator Award (2016), IEEE Nanotechnology Council Young Investigator Award (2017), NSF Career Award (2018), and NIH NIBIB Trailblazer Award (2018).<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sander M. Boht\u00e9 Prof. Dr. Sander M. Boht\u00e9 is a senior researcher and PI in the CWI Machine Learning group, and also a part-time full professor of Cognitive Computational Neuroscience at the University of Amsterdam and a part-time full professor of Bio-Inspired Neural Networks at the Rijksuniversiteit Groningen, The Netherlands. He received his PhD in [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-946","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=946"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/946\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":943,"date":"2021-03-15T22:51:47","date_gmt":"2021-03-16T02:51:47","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=943"},"modified":"2021-03-15T22:51:47","modified_gmt":"2021-03-16T02:51:47","slug":"schedule","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/schedule\/","title":{"rendered":"Schedule"},"content":{"rendered":"<p><strong>\u00a0ICONS 2020 Virtual Conference Schedule<\/strong><\/p>\n<p>All times are given in Eastern Daylight Time (EDT\/GMT-4).<\/p>\n<p><strong>Tuesday, July 28, 2020<\/strong><\/p>\n<p><strong>9:30 AM-10:00 AM: Welcome<\/strong><\/p>\n<ul>\n<li>Tom Potok (General Chair) and Katie Schuman (Program Chair)<\/li>\n<\/ul>\n<p><strong>10:00 AM-10:30 AM: Paper Discussion Session (Chair: Maryam Parsa)<\/strong><\/p>\n<ul>\n<li>&#8220;Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks,&#8221; Bojian Yin, Federico Corradi and Sander Bohte<\/li>\n<li>&#8220;Spiking Backpropagation for Learning on Neuromorphic Hardware&#8221;, Andrew Sornborger, Alpha Renner, Forrest Sheldon, Anatoly Zlotnik and Louis Tao<\/li>\n<li>&#8220;Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware,&#8221; Angel Yanguas-Gil<\/li>\n<li>&#8220;Long Short-Term Memory Spiking Networks and Their Applications,&#8221; Ali Lotfi Rezaabad and Sriram Vishwanath<\/li>\n<\/ul>\n<p><strong>10:30 AM-11:00 AM: Paper Discussion Session (Chair: Angel Yanguas-Gil)<\/strong><\/p>\n<ul>\n<li>&#8220;Neuromorphic circuits with Neural Modulation Enhancing the Information Content of Neural Signaling,&#8221; Rami Alzahrani and Alice Parker<\/li>\n<li>&#8220;Learning Spiking Neural Network Models of Drosophila Olfaction,&#8221; John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat and Edward Kim<\/li>\n<li>&#8220;Interception from a Dragonfly Neural Network Model,&#8221; Frances Chance<\/li>\n<li>&#8220;Spurious learning in networks with Spike Driven Synaptic Plasticity,&#8221; Adithya Gurunathan and Laxmi Iyer<\/li>\n<\/ul>\n<p><strong>11:00 AM-12:00 PM: Keynote: Sander Bohte (<\/strong><a href=\"https:\/\/youtu.be\/M4O3d8sl1tQ\"><strong>Video Link<\/strong><\/a><strong>)<\/strong><\/p>\n<p><strong>1:00 PM-1:30 PM: Paper Discussion Session (Chair: Brad Aimone)<\/strong><\/p>\n<ul>\n<li>&#8220;Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks,&#8221; Daniel Elbrecht and Catherine Schuman<\/li>\n<li>&#8220;Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware,&#8221; Michael Hampo, David Fan, Tarek Taha, Todd Jenkins, Ashley DeMange, Stefan Westberg and Trevor Bihl<\/li>\n<li>&#8220;Layer-skipping connections facilitate training of layered networks using equilibrium propagation,&#8221; Jimmy Gammell, Sae Woo Nam and Adam McCaughan<\/li>\n<li>&#8220;Continuous Learning in a Single-Incremental-Task\u00a0Scenario with Spike Features,&#8221; Ruthvik Vaila, John Chiasson and Vishal Saxena<\/li>\n<\/ul>\n<p><strong>1:30 PM-2:00 PM: Paper Discussion Session (Chair: Garrett Rose)<\/strong><\/p>\n<ul>\n<li>&#8220;Energy Constraints Improve Liquid State Machine Performance,&#8221; Andrew Fountain and Cory Merkel<\/li>\n<li>&#8220;Batch training for neuromorphic systems with device non-idealities,&#8221; Yutong Gao, Shang Wu and Gina Adam<\/li>\n<li>&#8220;Effective Pruning of Binary Activation Neural Networks,&#8221; William Severa, Ryan Dellana and Craig Vineyard<\/li>\n<li>&#8220;Quantizing Spiking Neural Networks with Integers,&#8221; Clemens Schaefer and Siddharth Joshi<\/li>\n<\/ul>\n<p><strong>2:00 PM-3:00 PM: Keynote: Duygu Kuzum (<\/strong><a href=\"https:\/\/youtu.be\/EyDaa6D_Ofg\"><strong>Video Link<\/strong><\/a><strong>)<\/strong><\/p>\n<p><strong>6:00 PM-8:15 PM: Special Session on Quantum Reservoirs<\/strong><\/p>\n<ul>\n<li>Part 1 Chair: Benjamin Lev\n<ul>\n<li>6:00 PM-6:05 PM: Welcome Address, Dr. Graham Rowlands<\/li>\n<li>6:05 PM-6:25 PM: &#8220;A Reservoir Computing Approach to Quantum State Measurement,&#8221; Prof. Hakan Tureci<\/li>\n<li>6:25 PM-6:45 PM: &#8220;Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting,&#8221; Mr. Samudra Dasgupta<\/li>\n<li>6:45 PM-7:05 PM: &#8220;Quantum Reservoir Computing with a Single Nonlinear Oscillator,&#8221; Dr. Luke Govia<\/li>\n<\/ul>\n<\/li>\n<li>Part 2 Chair: Luke Govia\n<ul>\n<li>7:15 PM-7:35 PM: &#8220;Quantum Machine Learning on Near-Term Quantum Computers,&#8221; Prof. Keisuke Fujii<\/li>\n<li>7:35 PM-7:55 PM: &#8220;Quantum State Preparation with Quantum Reservoir Processing,&#8221; Dr. Tanjung Krisnanda<\/li>\n<li>7:55 PM-8:15 PM: &#8220;Associative Memory with Confocal Cavity QED,&#8221; Prof. Benjamin Lev<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Wednesday, July 29, 2020<\/strong><\/p>\n<p><strong>8:00 AM-9:00 AM: Keynote: Akira Hirose (<\/strong><a href=\"https:\/\/youtu.be\/lKAnfXas6j4\"><strong>Video Link<\/strong><\/a><strong>)<\/strong><\/p>\n<p><strong>9:00 AM-9:30 AM: Paper Discussion Session (Chair: Ed Kim)<\/strong><\/p>\n<ul>\n<li>&#8220;An Astrocyte-Modulated Neuromorphic CPG for Hexapod RobotLocomotion\u00a0on Intel\u2019s\u00a0Loihi,&#8221; Ioannis Polykretis, Guangzhi Tang and Konstantinos Michmizos<\/li>\n<li>&#8220;Recurrent and Spiking Modeling of Sparse Surgical Kinematics,&#8221; Neil Getty, Zixuan Zhao, Fangfang Xia, Stephan Gruessner and Liaohai Chen<\/li>\n<li>&#8220;Memristor Based Neuromorphic Adaptive Resonance Theory for One-shot Online learning and Network Intrusion Detection,&#8221; Shahanur Alam, Chris Yakopcic, Guru Subramanyam and Tarek Taha<\/li>\n<\/ul>\n<p><strong>9:30 AM-10:00 AM: Paper Discussion Session (Chair: Prasanna Balaprakash)<\/strong><\/p>\n<ul>\n<li>&#8220;Implementation of a 12-Million Hodgkin-Huxley Neuron Network on a Single Chip,&#8221; Byungik Ahn<\/li>\n<li>&#8220;Reduction of the weight decay rate of Volatile Memory synapses in an analog hardware Neural Network for accurate and scalable on-chip learning,&#8221; Janak Sharda, Nilabjo Dey, Ankesh Jain and Debanjan Bhowmik<\/li>\n<li>&#8220;Design of a Conventional Transistor based Analog Integrated Circuit for On-chip Learning in a Spiking Neural Network,&#8221; Shikhar Tuli and Debanjan Bhowmik<\/li>\n<li>&#8220;NCPower: Power Modelling for NVM-based Neuromorphic Chip,&#8221; Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh Tuan Do, Paramasivam Vishnu, Wei Zhang and Rick Siow Mong Goh<\/li>\n<\/ul>\n<p><strong>10:30 AM &#8211; 11:30 AM: Doctoral Consortium Networking<\/strong><\/p>\n<ul>\n<li>Mohammad H. Hasan, University of Nebraska &#8211; Lincoln<\/li>\n<li>Alexander Jones, University of Cincinnati<\/li>\n<li>Maryam Parsa, Purdue University<\/li>\n<li>Ioannis Polykretis, Rutgers University<\/li>\n<li>Guangzhi Tang, Rutgers University<\/li>\n<\/ul>\n<p><strong>1:00 PM-1:30 PM: Paper Discussion Session (Chair: Susan Mniszewski)\u00a0<\/strong><\/p>\n<ul>\n<li>&#8220;Spike-based graph centrality measures,&#8221; Kathleen Hamilton, Tiffany Mintz, Prasanna Date and Catherine Schuman<\/li>\n<li>&#8220;Solving a steady-state PDE using spiking networks and neuromorphic hardware,&#8221; J. Darby Smith, William Severa, Aaron Hill, Leah Reeder, Brian Franke, Richard Lehoucq, Ojas Parekh and James Aimone<\/li>\n<li>&#8220;Modeling epidemic spread with spike-based models,&#8221; Kathleen Hamilton, Prasanna Date, Bill Kay and Catherine Schuman<\/li>\n<li>&#8220;Binary Matrix Multiplication with Application to Dynamical Systems On\u00a0Loihi,&#8221; Oleksandr Iaroshenko and Andrew Sornborger<\/li>\n<\/ul>\n<p><strong>1:30 PM-2:00 PM: Paper Discussion Session (Chair: Cory Merkel)<\/strong><\/p>\n<ul>\n<li>&#8220;A Small, Low Cost Event-Driven Architecture for Spiking Neural\u00a0Networks on FPGAs,&#8221; John Mitchell, Catherine Schuman and Thomas Potok<\/li>\n<li>&#8220;Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics,&#8221; Samiran Ganguly and Avik Ghosh<\/li>\n<li>&#8220;Reservoir Computing with Planar Nanomagnet Arrays,&#8221; Alexander Edwards, Peng Zhou, Nathan McDonald, Lisa Loomis, Clare Thiem and Joseph Friedman<\/li>\n<li>&#8220;A 1.52\u00a0pJ\/Spike Reconfigurable Multimodal Integrate-and-Fire Neuron Array Transceiver,&#8221; Rajkumar Kubendran, Weier Wan, Siddharth Joshi, H.-S. Philip Wong and Gert Cauwenberghs<\/li>\n<\/ul>\n<p><strong>2:00 PM-3:00 PM: Keynote: Gert Cauwenberghs (<\/strong><a href=\"https:\/\/youtu.be\/FU7qOpvzfnw\"><strong>Video Link<\/strong><\/a><strong>)<\/strong><\/p>\n<p><strong>Thursday, July 30, 2020<\/strong><\/p>\n<p><strong>9:00 AM-11:40 AM: Special Session on Hardware-Based Reservoirs<\/strong><\/p>\n<ul>\n<li>Part 1 Chair: Dr. Graham Rowlands\n<ul>\n<li>9:00 AM-9:05 AM: Opening Remarks, Dr. Luke Govia<\/li>\n<li>9:05 AM-9:35 AM: &#8220;Introduction to Physical RC,&#8221; Prof. Gouhei Tanaka<\/li>\n<li>9:35 AM-9:55 AM: &#8220;Computing with Optical Reservoirs,&#8221; Prof. I. Fischer<\/li>\n<li>9:55 AM-10:15 AM: &#8220;Spintronic Oscillator Reservoirs,&#8221; Dr. M. Stiles<\/li>\n<li>10:15 AM-10:35 AM: &#8220;RC with Autonomous Boolean Networks on FPGA,&#8221; Prof. Daniel Gauthier<\/li>\n<\/ul>\n<\/li>\n<li>Part 2 Chair: Prof. Daniel Gauthier\n<ul>\n<li>10:40 AM-11:00 AM: &#8220;Combining Sensing and Neuromorphic Computing in MEMS,&#8221; Prof. Julien Sylvestre<\/li>\n<li>11:00 AM-11:20 AM: &#8220;Superconducting Circuit Reservoirs,&#8221; Dr. Graham Rowlands<\/li>\n<li>11:20 AM-11:40 AM: &#8220;Temporal data analysis in memristor-based RC systems,&#8221; Prof. Wei Lu<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>12:30 PM-2:00 PM: Poster Session Networking<\/strong><\/p>\n<ul>\n<li>12:40-12:50 PM: &#8220;Rethinking Neuromorphic Hardware Design &#8211; A Complexity Engineering Approach,&#8221; Natesh Ganesh<\/li>\n<li>12:50-1:00 PM: &#8220;Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks ,&#8221; Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William M. Severa, Craig M. Vineyard<\/li>\n<li>1:00-1:10 PM: &#8220;Reservoir Computing with Planar Nanomagnet Arrays,&#8221; Alexander Edwards, Peng Zhou, Nathan R. McDonald, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman<\/li>\n<li>1:10-1:20 PM: &#8220;Reservoir Computing Augmentation in Micro-Sensors,&#8221; Mohammad H Hasan, Fadi Alsaleem, Ali Al-Ramini, Roozbeh Jafari, Siavash Pourkamali<\/li>\n<li>1:20-1:30 PM: &#8220;Exploring neuromodulation for dynamic learning,&#8221; Anurag Reddy Daram, Dhireesha Kudithipudi<\/li>\n<li>1:30-1:40 PM: &#8220;TENNLAB Framework for Neuromorphic Systems,&#8221; Charles Rizzo, Nick Skuda, Kody Bloodworth, John Carmack, Chaohui Zheng, Parker Mitchell, James Plank, Garrett Rose, and Katie Schuman<\/li>\n<li>1:40-1:50 PM: &#8220;A Simple Compact Memristor Model for Neuromorphic ReRAM Devices,&#8221; Mohamad Moner Al Chawa, Rodrigo Picos and Ronald Tetzlaff<\/li>\n<li>1:50-2:00 PM: &#8220;Learning to approximate functions using niobium doped strontium titanate memristors,&#8221; Thomas Tiotto, Jelmer Borst, Niels Taatgen<\/li>\n<\/ul>\n<p><strong>4:00 PM-6:30 PM: Special Session on Benchmarking and Metrics for Neuromorphic Systems<\/strong><\/p>\n<ul>\n<li>4:00-4:15 PM: Introduction by Organizers: Maryam Parsa, Catherine Schuman, William Severa, and Felix Wang<\/li>\n<li>4:15-5:30 PM: Speakers\n<ul>\n<li>Aaron Hill<\/li>\n<li>Dhireesha Kudithipudi<\/li>\n<li>Arijit Raychaudhury<\/li>\n<li>Kaushik Roy<\/li>\n<li>Greg Cohen<\/li>\n<\/ul>\n<\/li>\n<li>5:30-5:45 PM: Panel Q&amp;A<\/li>\n<li>5:45-5:50 PM: Breakout Discussion Charge<\/li>\n<li>5:50-6:15 PM: Breakout Discussions\n<ul>\n<li>Breakout 1: Non-Spiking Neural Hardware Benchmarking Tasks and Metrics<\/li>\n<li>Breakout 2: Spiking Neuromorphic Benchmarking Tasks and Metrics<\/li>\n<li>Breakout 3: Non-Spiking Neural Hardware Challenge Problems and Metrics<\/li>\n<li>Breakout 4: Spiking Neuromorphic Challenge Problems and Metrics<\/li>\n<\/ul>\n<\/li>\n<li>6:15-6:30 PM: Breakout Reports and Session Conclusion<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0ICONS 2020 Virtual Conference Schedule All times are given in Eastern Daylight Time (EDT\/GMT-4). Tuesday, July 28, 2020 9:30 AM-10:00 AM: Welcome Tom Potok (General Chair) and Katie Schuman (Program Chair) 10:00 AM-10:30 AM: Paper Discussion Session (Chair: Maryam Parsa) &#8220;Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks,&#8221; Bojian Yin, Federico Corradi and [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-943","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/943","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=943"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/943\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=943"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":940,"date":"2021-03-15T22:51:21","date_gmt":"2021-03-16T02:51:21","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=940"},"modified":"2021-03-15T22:58:02","modified_gmt":"2021-03-16T02:58:02","slug":"register","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/register\/","title":{"rendered":"Register"},"content":{"rendered":"<p>ICONS 2020 will be held as a virtual conference. Please use <a href=\"https:\/\/utconferences.eventsair.com\/icons-2020\/registration\/Site\/Register\">this link<\/a> to register for ICONS 2020. The registration deadline is <strong>July 24, 2020<\/strong>.<\/p>\n<p>Registration fees for those who have already registered for ICONS 2020 will be refunded. The revised registration rates are:<\/p>\n<ul>\n<li>General registration: USD 75.00<\/li>\n<li>Student registration: USD 10.00<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>We look forward to virtually meeting you in July 2020&#8230;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ICONS 2020 will be held as a virtual conference. Please use this link to register for ICONS 2020. The registration deadline is July 24, 2020. Registration fees for those who have already registered for ICONS 2020 will be refunded. The revised registration rates are: General registration: USD 75.00 Student registration: USD 10.00 &nbsp; We look [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-940","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/940","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=940"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/940\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":937,"date":"2021-03-15T22:50:32","date_gmt":"2021-03-16T02:50:32","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=937"},"modified":"2021-03-15T22:50:32","modified_gmt":"2021-03-16T02:50:32","slug":"proceedings","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/proceedings\/","title":{"rendered":"Proceedings"},"content":{"rendered":"<p>The ICONS 2020 conference proceedings are available on the <a href=\"https:\/\/dl.acm.org\/doi\/proceedings\/10.1145\/3407197\">ACM Digital Library<\/a>.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ICONS 2020 conference proceedings are available on the ACM Digital Library. &nbsp;<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-937","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=937"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/937\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":934,"date":"2021-03-15T22:50:03","date_gmt":"2021-03-16T02:50:03","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=934"},"modified":"2021-03-15T22:50:03","modified_gmt":"2021-03-16T02:50:03","slug":"presentation-videos","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/presentation-videos\/","title":{"rendered":"Presentation Videos"},"content":{"rendered":"<p><strong>ICONS 2020 Virtual Conference Schedule<\/strong><\/p>\n<p>All times are given in Eastern Daylight Time (EDT\/GMT-4).<\/p>\n<p><strong>Tuesday, July 28, 2020<\/strong><\/p>\n<p><strong>9:30 AM-10:00 AM: Welcome<\/strong><\/p>\n<ul>\n<li>Tom Potok (General Chair) and Katie Schuman (Program Chair)<\/li>\n<\/ul>\n<p><strong>10:00 AM-10:30 AM: Paper Discussion Session (Chair: Maryam Parsa)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439964960\">Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks<\/a>,&#8221; Bojian Yin, Federico Corradi and Sander Bohte<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439965278\">Spiking Backpropagation for Learning on Neuromorphic Hardware<\/a>,&#8221; Andrew Sornborger, Alpha Renner, Forrest Sheldon, Anatoly Zlotnik and Louis Tao<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440753948\">Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware<\/a>,&#8221; Angel Yanguas-Gil<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439963336\">Long Short-Term Memory Spiking Networks and Their Applications<\/a>,&#8221; Ali Lotfi Rezaabad and Sriram Vishwanath<\/li>\n<\/ul>\n<p><strong>10:30 AM-11:00 AM: Paper Discussion Session (Chair: Angel Yanguas-Gil)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439968405\">Neuromorphic circuits with Neural Modulation Enhancing the Information Content of Neural Signaling<\/a>,&#8221; Rami Alzahrani and Alice Parker<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439968874\">Learning Spiking Neural Network Models of Drosophila Olfaction<\/a>,&#8221; John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat and Edward Kim<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439969225\">Interception from a Dragonfly Neural Network Model<\/a>,&#8221; Frances Chance<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439957138\">Spurious learning in networks with Spike Driven Synaptic Plasticity<\/a>,&#8221; Adithya Gurunathan and Laxmi Iyer<\/li>\n<\/ul>\n<p><strong>11:00 AM-12:00 PM: Keynote: Sander Bohte (Live)<\/strong><\/p>\n<p><strong>1:00 PM-1:30 PM: Paper Discussion Session (Chair: Brad Aimone)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440020266\">Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks<\/a>,&#8221; Daniel Elbrecht and Catherine Schuman<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440019815\">Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware<\/a>,&#8221; Michael Hampo, David Fan, Tarek Taha, Todd Jenkins, Ashley DeMange, Stefan Westberg and Trevor Bihl<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439969782\">Layer-skipping connections facilitate training of layered networks using equilibrium propagation<\/a>,&#8221; Jimmy Gammell, Sae Woo Nam and Adam McCaughan<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439971004\">Continuous Learning in a Single-Incremental-Task\u00a0<\/a>Scenario with Spike Features,&#8221; Ruthvik Vaila, John Chiasson and Vishal Saxena<\/li>\n<\/ul>\n<p><strong>1:30 PM-2:00 PM: Paper Discussion Session (Chair: Garrett Rose)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440035533\">Energy Constraints Improve Liquid State Machine Performance<\/a>,&#8221; Andrew Fountain and Cory Merkel<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440038552\">Batch training for neuromorphic systems with device non-idealities<\/a>,&#8221; Yutong Gao, Shang Wu and Gina Adam<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440033511\">Effective Pruning of Binary Activation Neural Networks<\/a>,&#8221; William Severa, Ryan Dellana and Craig Vineyard<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439972070\">Quantizing Spiking Neural Networks with Integers<\/a>,&#8221; Clemens Schaefer and Siddharth Joshi<\/li>\n<\/ul>\n<p><strong>2:00 PM-3:00 PM: Keynote: Duygu Kuzum (Live)<\/strong><\/p>\n<p><strong>6:00 PM-8:15 PM: Special Session on Quantum Reservoirs (All content live)<\/strong><\/p>\n<ul>\n<li>Part 1 Chair: Benjamin Lev\n<ul>\n<li>6:00 PM-6:05 PM: Welcome Address, Dr. Graham Rowlands<\/li>\n<li>6:05 PM-6:25 PM: &#8220;A Reservoir Computing Approach to Quantum State Measurement,&#8221; Prof. Hakan Tureci<\/li>\n<li>6:25 PM-6:45 PM: &#8220;Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting,&#8221; Mr. Samudra Dasgupta<\/li>\n<li>6:45 PM-7:05 PM: &#8220;Quantum Reservoir Computing with a Single Nonlinear Oscillator,&#8221; Dr. Luke Govia<\/li>\n<\/ul>\n<\/li>\n<li>Part 2 Chair: Luke Govia\n<ul>\n<li>7:15 PM-7:35 PM: &#8220;Quantum Machine Learning on Near-Term Quantum Computers,&#8221; Prof. Keisuke Fujii<\/li>\n<li>7:35 PM-7:55 PM: &#8220;Quantum State Preparation with Quantum Reservoir Processing,&#8221; Dr. Tanjung Krisnanda<\/li>\n<li>7:55 PM-8:15 PM: &#8220;Associative Memory with Confocal Cavity QED,&#8221; Prof. Benjamin Lev<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Wednesday, July 29, 2020<\/strong><\/p>\n<p><strong>8:00 AM-9:00 AM: Keynote: Akira Hirose (Live)<\/strong><\/p>\n<p><strong>9:00 AM-9:30 AM: Paper Discussion Session (Chair: Ed Kim)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439982957\">An Astrocyte-Modulated Neuromorphic CPG for Hexapod <\/a>RobotLocomotion\u00a0on Intel\u2019s\u00a0Loihi,&#8221; Ioannis Polykretis, Guangzhi Tang and Konstantinos Michmizos<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439982384\">Recurrent and Spiking Modeling of Sparse Surgical Kinematics<\/a>,&#8221; Neil Getty, Zixuan Zhao, Fangfang Xia, Stephan Gruessner and Liaohai Chen<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439982178\">Memristor Based Neuromorphic Adaptive Resonance Theory for One-shot Online learning and Network Intrusion Detection<\/a>,&#8221; Shahanur Alam, Chris Yakopcic, Guru Subramanyam and Tarek Taha<\/li>\n<\/ul>\n<p><strong>9:30 AM-10:00 AM: Paper Discussion Session (Chair: Prasanna Balaprakash)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/441859255\">Implementation of a 12-Million Hodgkin-Huxley Neuron Network on a Single Chip<\/a>,&#8221; Byungik Ahn<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439984033\">Reduction of the weight decay rate of Volatile Memory synapses in an analog hardware Neural Network for accurate and scalable on-chip learning<\/a>,&#8221; Janak Sharda, Nilabjo Dey, Ankesh Jain and Debanjan Bhowmik<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439984783\">Design of a Conventional Transistor based Analog Integrated Circuit for On-chip Learning in a Spiking Neural Network<\/a>,&#8221; Shikhar Tuli and Debanjan Bhowmik<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439983661\">NCPower<\/a>: Power Modelling for NVM-based Neuromorphic Chip,&#8221; Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh Tuan Do, Paramasivam Vishnu, Wei Zhang and Rick Siow Mong Goh<\/li>\n<\/ul>\n<p><strong>10:30 AM &#8211; 11:30 AM: Doctoral Consortium Networking<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/vimeo.com\/440298221\">Mohammad H. Hasan<\/a>, University of Nebraska &#8211; Lincoln<\/li>\n<li><a href=\"https:\/\/vimeo.com\/440295579\">Alexander Jones<\/a>, University of Cincinnati<\/li>\n<li><a href=\"https:\/\/vimeo.com\/441859677\">Maryam Pars<\/a>a, Purdue University<\/li>\n<li><a href=\"https:\/\/vimeo.com\/440298084\">Ioannis Polykretis<\/a>, Rutgers University<\/li>\n<li><a href=\"https:\/\/vimeo.com\/440296670\">Guangzhi Tang<\/a>, Rutgers University<\/li>\n<\/ul>\n<p><strong>1:00 PM-1:30 PM: Paper Discussion Session \u00a0(Chair: Susan Mniszewski)\u00a0<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440046413\">Spike-based graph centrality measures<\/a>,&#8221; Kathleen Hamilton, Tiffany Mintz, Prasanna Date and Catherine Schuman<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440049991\">Solving a steady-state PDE using spiking networks and neuromorphic hardware<\/a>,&#8221; J. Darby Smith, William Severa, Aaron Hill, Leah Reeder, Brian Franke, Richard Lehoucq, Ojas Parekh and James Aimone<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440049202\">Modeling epidemic spread with spike-based models<\/a>,&#8221; Kathleen Hamilton, Prasanna Date, Bill Kay and Catherine Schuman<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440049440\">Binary Matrix Multiplication with Application to Dynamical Systems On\u00a0<\/a>Loihi,&#8221; Oleksandr Iaroshenko and Andrew Sornborger<\/li>\n<\/ul>\n<p><strong>1:30 PM-2:00 PM: Paper Discussion Session (Chair: Cory Merkel)<\/strong><\/p>\n<ul>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439995733\">A Small, Low Cost Event-Driven Architecture for Spiking Neural<\/a>\u00a0Networks on FPGAs,&#8221; John Mitchell, Catherine Schuman and Thomas Potok<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439997102\">Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics<\/a>,&#8221; Samiran Ganguly and Avik Ghosh<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/440057803\">Reservoir Computing with Planar Nanomagnet Arrays<\/a>,&#8221; Alexander Edwards, Peng Zhou, Nathan McDonald, Lisa Loomis, Clare Thiem and Joseph Friedman<\/li>\n<li>&#8220;<a href=\"https:\/\/vimeo.com\/439994507\">A 1.52\u00a0pJ<\/a>\/Spike Reconfigurable Multimodal Integrate-and-Fire Neuron Array Transceiver,&#8221; Rajkumar Kubendran, Weier Wan, Siddharth Joshi, H.-S. Philip Wong and Gert Cauwenberghs<\/li>\n<\/ul>\n<p><strong>2:00 PM-3:00 PM: Keynote: Gert Cauwenberghs (Live)<\/strong><\/p>\n<p><strong>Thursday, July 30, 2020<\/strong><\/p>\n<p><strong>9:00 AM-11:40 AM: Special Session on Hardware-Based Reservoirs (All content live)<\/strong><\/p>\n<ul>\n<li>Part 1 Chair: Dr. Graham Rowlands\n<ul>\n<li>9:00 AM-9:05 AM: Opening Remarks, Dr. Luke Govia<\/li>\n<li>9:05 AM-9:35 AM: &#8220;Introduction to Physical RC,&#8221; Prof. Gouhei Tanaka<\/li>\n<li>9:35 AM-9:55 AM: &#8220;Computing with Optical Reservoirs,&#8221; Prof. I. Fischer<\/li>\n<li>9:55 AM-10:15 AM: &#8220;Spintronic Oscillator Reservoirs,&#8221; Dr. M. Stiles<\/li>\n<li>10:15 AM-10:35 AM: &#8220;RC with Autonomous Boolean Networks on FPGA,&#8221; Prof. Daniel Gauthier<\/li>\n<\/ul>\n<\/li>\n<li>Part 2 Chair: Prof. Daniel Gauthier\n<ul>\n<li>10:40 AM-11:00 AM: &#8220;Combining Sensing and Neuromorphic Computing in MEMS,&#8221; Prof. Julien Sylvestre<\/li>\n<li>11:00 AM-11:20 AM: &#8220;Superconducting Circuit Reservoirs,&#8221; Dr. Graham Rowlands<\/li>\n<li>11:20 AM-11:40 AM: &#8220;Temporal data analysis in memristor-based RC systems,&#8221; Prof. Wei Lu<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>12:30 PM-2:00 PM: Poster Session Networking<\/strong><\/p>\n<ul>\n<li>12:40-12:50 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440372127\">Rethinking Neuromorphic Hardware Design &#8211; A Complexity Engineering Approach<\/a>,&#8221; Natesh Ganesh<\/li>\n<li>12:50-1:00 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440292749\">Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks<\/a>,&#8221; Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William M. Severa, Craig M. Vineyard<\/li>\n<li>1:00-1:10 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440293462\">Reservoir Computing with Planar Nanomagnet Arrays<\/a>,&#8221; Alexander Edwards, Peng Zhou, Nathan R. McDonald, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman<\/li>\n<li>1:10-1:20 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440293859\">Reservoir Computing Augmentation in Micro-Sensors<\/a>,&#8221; Mohammad H Hasan, Fadi Alsaleem, Ali Al-Ramini, Roozbeh Jafari, Siavash Pourkamali<\/li>\n<li>1:20-1:30 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440631008\">Exploring neuromodulation for dynamic learning<\/a>,&#8221; Anurag Reddy Daram, Dhireesha Kudithipudi<\/li>\n<li>1:30-1:40 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440294520\">TENNLAB Framework for Neuromorphic Systems<\/a>,&#8221; Charles Rizzo, Nick Skuda, Kody Bloodworth, John Carmack, Chaohui Zheng, Parker Mitchell, James Plank, Garrett Rose, and Katie Schuman<\/li>\n<li>1:40-1:50 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440294312\">A Simple Compact Memristor Model for Neuromorphic ReRAM Devices<\/a>,&#8221; Mohamad Moner Al Chawa, Rodrigo Picos and Ronald Tetzlaff<\/li>\n<li>1:50-2:00 PM: &#8220;<a href=\"https:\/\/vimeo.com\/440157812\">Learning to approximate functions using niobium doped strontium titanate memristors<\/a>,&#8221; Thomas Tiotto, Jelmer Borst, Niels Taatgen<\/li>\n<\/ul>\n<p><strong>4:00 PM-6:30 PM: Special Session on Benchmarking and Metrics for Neuromorphic Systems (All content live)<\/strong><\/p>\n<ul>\n<li>4:00-4:15 PM: Introduction by Organizers: Maryam Parsa, Catherine Schuman, William Severa, and Felix Wang<\/li>\n<li>4:15-5:30 PM: Speakers\n<ul>\n<li>Aaron Hill<\/li>\n<li>Dhireesha Kudithipudi<\/li>\n<li>Arijit Raychaudhury<\/li>\n<li>Kaushik Roy<\/li>\n<li>Greg Cohen<\/li>\n<\/ul>\n<\/li>\n<li>5:30-5:45 PM: Panel Q&amp;A<\/li>\n<li>5:45-5:50 PM: Breakout Discussion Charge<\/li>\n<li>5:50-6:15 PM: Breakout Discussions\n<ul>\n<li>Breakout 1: Non-Spiking Neural Hardware Benchmarking Tasks and Metrics<\/li>\n<li>Breakout 2: Spiking Neuromorphic Benchmarking Tasks and Metrics<\/li>\n<li>Breakout 3: Non-Spiking Neural Hardware Challenge Problems and Metrics<\/li>\n<li>Breakout 4: Spiking Neuromorphic Challenge Problems and Metrics<\/li>\n<\/ul>\n<\/li>\n<li>6:15-6:30 PM: Breakout Reports and Session Conclusion<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ICONS 2020 Virtual Conference Schedule All times are given in Eastern Daylight Time (EDT\/GMT-4). Tuesday, July 28, 2020 9:30 AM-10:00 AM: Welcome Tom Potok (General Chair) and Katie Schuman (Program Chair) 10:00 AM-10:30 AM: Paper Discussion Session (Chair: Maryam Parsa) &#8220;Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks,&#8221; Bojian Yin, Federico Corradi and [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-934","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/934","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=934"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/934\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":913,"date":"2021-03-15T22:48:49","date_gmt":"2021-03-16T02:48:49","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=913"},"modified":"2021-03-15T22:59:05","modified_gmt":"2021-03-16T02:59:05","slug":"committees","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/committees\/","title":{"rendered":"Committees"},"content":{"rendered":"<p><strong>Steering Committee<\/strong><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/thomas-e-potok\"><strong>Thomas Potok<\/strong><\/a>, <em>Oak Ridge National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/robert-m-patton\"><strong>Robert Patton<\/strong><\/a>, <em>Oak Ridge National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/processpalooza.ucsd.edu\/program\/todd-hylton.html\"><strong>Todd Hylton<\/strong><\/a>, <em>University of California, San Diego<\/em><\/p>\n<p><a href=\"https:\/\/ece.duke.edu\/faculty\/hai-helen-li\"><strong>Helen Li<\/strong><\/a>, <em>Duke University<\/em><\/p>\n<p><a href=\"https:\/\/ece.duke.edu\/faculty\/yiran-chen\"><strong>Yiran Chen<\/strong><\/a>, <em>Duke University<\/em><\/p>\n<p><a href=\"https:\/\/www.eecs.utk.edu\/people\/faculty\/garose\/\"><strong>Garrett Rose<\/strong><\/a>, <em>University of Tennessee, Knoxville<\/em><\/p>\n<p><a href=\"https:\/\/science.osti.gov\/ascr\/About\/Dr-Robinson-E-Pino\"><strong>Robinson Pino<\/strong><\/a>, <em>U. S. Department of Energy<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Organizing Committee<\/strong><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/thomas-e-potok\"><strong>Thomas Potok<\/strong><\/a>,\u00a0<em>Oak Ridge National Laboratory<\/em> &#8211; Organizing Committee Chair<\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/catherine-d-schuman\"><strong>Catherine Schuman<\/strong><\/a>,\u00a0<em>Oak Ridge National Laboratory<\/em> &#8211; Program Committee Chair<\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/prasanna-date\"><strong>Prasanna Date<\/strong><\/a>, <em>Oak Ridge National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/engineering.purdue.edu\/ECE\/News\/2018\/women-in-ece\/Maryam-Parsa\"><strong>Maryam Parsa<\/strong><\/a>, <em>Purdue University<\/em><\/p>\n<p><a href=\"https:\/\/www.anl.gov\/profile\/angel-yanguasgil\"><strong>Angel Yanguas-Gil<\/strong><\/a>, <em>Argonne National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/www.anl.gov\/profile\/prasanna-balaprakash\"><strong>Prasanna Balaprakash<\/strong><\/a>, <em>Argonne National Laboratory<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Program Committee<\/strong><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/catherine-d-schuman\"><strong>Catherine Schuman<\/strong><\/a>, <em>Oak Ridge National Laboratory <\/em>&#8211; Program Committee Chair<\/p>\n<p><a href=\"https:\/\/neuroscience.sandia.gov\/people\/aimone.html\"><strong>Brad Aimone<\/strong><\/a>, <em>Sandia National Laboratories<\/em><\/p>\n<p><a href=\"https:\/\/www.eecs.utk.edu\/people\/faculty\/aaziz\/\"><strong>Ahmedullah Aziz<\/strong><\/a>, <em>University of Tennessee<\/em><\/p>\n<p><a href=\"https:\/\/www.anl.gov\/profile\/prasanna-balaprakash\"><strong>Prasanna Balaprakash<\/strong><\/a>, <em>Argonne National Laboratory<\/em><\/p>\n<p><a href=\"http:\/\/nimo.asu.edu\/ycao\/\"><strong>Yu Cao<\/strong><\/a>, <em>Arizona State University<\/em><\/p>\n<p><a href=\"https:\/\/www.cs.rpi.edu\/~chrisc\/\"><strong>Christopher Carothers<\/strong><\/a><strong>,\u00a0<\/strong><em>Rensselaer Polytechnic Institute<\/em><\/p>\n<p><a href=\"https:\/\/cfwebprod.sandia.gov\/cfdocs\/CompResearch\/templates\/insert\/profile.cfm?fschanc\"><strong>Frances Chance<\/strong><\/a>, <em>Sandia National Laboratories<\/em><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/prasanna-date\"><strong>Prasanna Date<\/strong><\/a>, <em>Oak Ridge National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/www.ornl.gov\/staff-profile\/kathleen-e-hamilton\"><strong>Kathleen Hamilton<\/strong><\/a>, <em>Oak Ridge National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/www.ecei.tohoku.ac.jp\/ecei_web\/Laboratory\/horio_e_index.html\"><strong>Yoshihiko Horio<\/strong><\/a>, <em>Tohoku University<\/em><\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/scientific-contributions\/13599456_Jun_Igarashi\"><strong>Jun Igarashi<\/strong><\/a><em>, RIKEN<\/em><\/p>\n<p><a href=\"http:\/\/jin.ece.ufl.edu\/\"><strong>Yier Jin<\/strong><\/a>, <em>University of Florida<\/em><\/p>\n<p><a href=\"https:\/\/drexel.edu\/cci\/about\/directory\/K\/kim-edward\/\"><strong>Edward Kim<\/strong><\/a>, <em>Drexel University<\/em><\/p>\n<p><a href=\"https:\/\/www.iis.u-tokyo.ac.jp\/en\/research\/staff\/takashi-kohno\/\"><strong>Takashi Kohno<\/strong><\/a>, <em>The University of Tokyo<\/em><\/p>\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=2-KI0dQAAAAJ&amp;hl=en&amp;oi=ao\"><strong>Christopher Krieger<\/strong><\/a>, <em>University of Maryland<\/em><\/p>\n<p><a href=\"http:\/\/engineering.utsa.edu\/electrical-computer\/team\/dhireesha-kudithipudi\/\"><strong>Dhireesha Kudithipudi<\/strong><\/a>, <em>University of Texas at San Antonio<\/em><\/p>\n<p><strong>Eren Kurshan<\/strong>, <em>Columbia University<\/em><\/p>\n<p><a href=\"https:\/\/www.nasa.gov\/ames\/ocs\/summerseries\/2018\/michael-lowry\"><strong>Michael Lowry<\/strong><\/a>, <em>NASA<\/em><\/p>\n<p><a href=\"https:\/\/www.rit.edu\/directory\/cemeec-cory-merkel\"><strong>Cory Merkel<\/strong><\/a>, <em>Rochester Institute of Technology<\/em><\/p>\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=OSJ3bpgAAAAJ&amp;hl=en&amp;oi=ao\"><strong>Susan Mniszewski<\/strong><\/a>, <em>Los Alamos National Laboratory<\/em><\/p>\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=Tp_fVdEAAAAJ&amp;hl=en\"><strong>Yasuhiko Nakashima<\/strong><\/a>, <em>Nara Institute of Science and Technology<\/em><\/p>\n<p><a href=\"https:\/\/faculty.utah.edu\/u6013914-NEDA_NATEGH\/research\/index.hml\"><strong>Neda Nategh<\/strong><\/a>, <em>University of Utah<\/em><\/p>\n<p><a href=\"https:\/\/viterbi.usc.edu\/directory\/faculty\/Parker\/Alice\"><strong>Alice Parker<\/strong><\/a>, <em>University of Southern California<\/em><\/p>\n<p><a href=\"https:\/\/engineering.purdue.edu\/ECE\/News\/2018\/women-in-ece\/Maryam-Parsa\"><strong>Maryam Parsa<\/strong><\/a>, <em>Purdue University<\/em><\/p>\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=UT9lW6sAAAAJ&amp;hl=en\"><strong>Graham Rowland<\/strong><\/a>, <em>Raytheon<\/em><\/p>\n<p><a href=\"https:\/\/ischuller.ucsd.edu\/\"><strong>Ivan Schuller<\/strong><\/a>, <em>University of California at San Diego<\/em><\/p>\n<p><a href=\"https:\/\/neuroscience.sandia.gov\/people\/Severa.html\"><strong>William Severa<\/strong><\/a><strong>, <\/strong><em>Sandia National Laboratories<\/em><\/p>\n<p><a href=\"https:\/\/www.brain.kyutech.ac.jp\/~tamukoh\/en\/member_e\/tamukoh\/\"><strong>Hakura Tamukoh<\/strong><\/a>, <em>Kyushu Institute of Technology<\/em><\/p>\n<p><a href=\"https:\/\/scholar.google.com\/citations?user=E-NlVS4AAAAJ&amp;hl=en\"><strong>Andreas Wild<\/strong><\/a>, <em>Intel<\/em><\/p>\n<p><a href=\"https:\/\/www.anl.gov\/profile\/angel-yanguasgil\"><strong>Angel Yanguas-Gil<\/strong><\/a>, <em>Argonne National Laboratory<\/em><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Steering Committee Thomas Potok, Oak Ridge National Laboratory Robert Patton, Oak Ridge National Laboratory Todd Hylton, University of California, San Diego Helen Li, Duke University Yiran Chen, Duke University Garrett Rose, University of Tennessee, Knoxville Robinson Pino, U. S. Department of Energy &nbsp; Organizing Committee Thomas Potok,\u00a0Oak Ridge National Laboratory &#8211; Organizing Committee Chair Catherine [&hellip;]<\/p>\n","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-913","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/913","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/comments?post=913"}],"version-history":[{"count":0,"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/pages\/913\/revisions"}],"wp:attachment":[{"href":"https:\/\/icons.ornl.gov\/2020\/wp-json\/wp\/v2\/media?parent=913"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":915,"date":"2021-02-04T14:01:09","date_gmt":"2021-02-04T19:01:09","guid":{"rendered":"https:\/\/iconsconf.wpenginepowered.com\/2020\/?page_id=915"},"modified":"2021-02-04T14:03:21","modified_gmt":"2021-02-04T19:03:21","slug":"subscribe","status":"publish","type":"page","link":"https:\/\/icons.ornl.gov\/2020\/subscribe\/","title":{"rendered":"Subscribe"},"content":{"rendered":"<p>Follow 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