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• [12/2021] [Media] Dr. Xun Jiao was interviewed by Digital Engineering Magazine, talking about our work on using AI/ML for circuit/hardware simulation.
• [12/2021] [Students] Ph.D. student Dongning Ma receives Best 2-Minute Research Video Award at the DAC 2021 Young Fellow Program.
• [11/2021] [Paper] One paper on neural network verification/testing is accepted to IEEE Transactions on Neural Networks and Learning Systems!
• [11/2021] [Paper] Two papers on security and robustness of hyperdimensional computing are accepted to DATE 2022!
• [10/2021] [Talk] Dr. Xun Jiao is invited to deliver a talk at SEElab@UC San Diego.
• [10/2021] [Student] Ph.D. student Dongning Ma, Ruixuan Wang and Sizhe Zhang are accepted to the DAC 2021 Young Fellow Program!
• [10/2021] [Paper] Invited paper on “Scalable IoT Systems” to appear in ACM ESWEEK 2021!
• [10/2021] [Service] Dr. Xun Jiao is invited to serve as a track co-chair for DAC 2022.
• [09/2021] [Service] Dr. Xun Jiao is invited to serve on NSF panel.
• [09/2021] [Talk] Dr. Xun Jiao is invited to deliver a talk at ECE department in Temple University.
• [06/2021] [Service] Dr. Jiao serves as the lead guest editor of the special issue “Brain-Inspired Hyperdimensional Computing: Algorithms, Models, and Architectures” on Frontiers in Neuroscience - Neuromorphic Engineering. Please consider to submit!
• [06/2021] [Paper] Invited paper on “Robust Hyperdimensional Computing” to appear in IEEE ASAP 2021!
• [05/2021] [Paper] Two papers on hyperdimensional computing are accepted to ISVLSI 2021!
• [04/2021] [Paper] Paper on dynamic delay modeling of circuits is accepted to IEEE TCAD!
• [03/2021] [Paper] Our paper on AI-based anomaly detection is accepted by Brief Industry Paper Track (BIP) of IEEE RTAS.
• [03/2021] [Grant] Our project on Safe Brain-inspired AI is funded by Villanova University Grant program.
• [02/2021] [Grant] Our project on Deep Learning Hardware Accelerator is funded by Small Research Grant Pilot Program of Villanova University.
• [02/2021] [Service] Dr. Xun Jiao is invited to join the Editorial Board of Frontiers in Neuroscience.
• [02/2021] [Paper] Paper about fuzz testing on hyperdimensional computing is accepted to DAC 2021!
• [12/2020] [Service] Xun Jiao will serve on the TPC and track co-chair of DAC 2021.
• [11/2020] [Student] Sizhe Zhang will join DETAIL as a new PhD student. Welcome, Sizhe!
• [11/2020] [Grant] Our project is funded by L3 Harris. Thank you, L3 Harris!
• [11/2020] [Paper] Paper on Approximate Computing is accepted to DATE 2021! (24% acceptance rate)
• [10/2020] [Student] Ruixuan (Richard) Wang will join DETAIL as a new PhD student. Welcome, Richard!
• [08/2020] [Grant] Collaborative project on smart, secure, and scalable IoT system is funded by National Science Foundation!
• [08/2020] [Award] Our EMSOFT paper on firmware cybersecurity vulnerability is nominated for best paper award!
• [08/2020] [Award] Our paper at Euromicro DSD 2020 receives the Outstanding Paper Award!
• [08/2020] [Paper] One paper is accepted to ICCAD!
• [07/2020] [Paper] Two papers are accepted to EMSOFT 2020.
• [06/2020] [Paper] Paper on approximate computation bypass in neural network and image processing applications is accepted to Euromicro DSD 2020!
• [06/2020] [Student] Ph.D. student Dongning Ma is accepted to the DAC 2020 A. Richard Newton Young Student Fellow Program!
• [04/2020] [Talk] Dr. Xun Jiao is invited to present and brief in the U.S. Congressional House Energy and Commerce Committee regarding project on COVID-19.
• [04/2020] [Award] Our paper is selected as a best paper of SELSE 2020.
• [03/2020] [Paper] Paper on the resilience of deep neural networks is accepted to IEEE Design & Test!
• [03/2020] [Paper] Paper on approximate computing for low-power voltage-scaled circuits is accepted to IEEE TCAD!
• [02/2020] [Student] Ph.D. student Dongning Ma receives NSF support to attend the Student Activities Program at VTS’20!
• [02/2020] [Paper] Paper on energy-efficient deep learning on GPU accepted to GLSVLSI 2020!
• [02/2020] [Paper] Paper on circuit variability-induced error modeling accepted to DAC 2020!
• [02/2020] [Paper] Paper on industrial control system (ICS) security vulnerability accepted to DAC 2020!
• [01/2020] [Paper] Paper on voltage scaling-induced error modeling accepted to SELSE 2020!
• [01/2020] [Service] Xun Jiao is appointed as an Associate Editor of ACM SIGDA Newsletter.
• [12/2019] [Paper] Paper on software vulnerability detection is accepted in IEEE Transactions on Software Engineering (TSE)!
• [12/2019] [Paper] Paper on fuzz testing is accepted in IEEE Transactions on Dependable and Secure Computing (TDSC)!
• [12/2019] [Service] Xun Jiao will serve on the TPC of GLSVLSI 2020.
• [11/2019] [Paper] Paper on WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications is accepted to IEEE Embedded Systems Letters!
• [11/2019] [Service] Xun Jiao will serve on the TPC of DAC 2020.
• [11/2019] [Service] Xun Jiao will co-organize DACPS workshop, co-located with DAC 2020.
• [11/2019] [Service] Xun Jiao will serve on the TPC of the ACM Workshop on Automotive and Aerial Vehicle Security (AutoSec), in conjunction with ACM CODASPY 2020.
• [09/2019] [Student] Ph.D. student Dongning Ma’s work on approximate computing is accepted to the ACM Student Research Competition and he will compete for prizes at ESWEEK’19 with a Travel Grant support!
• [07/2019] [Award] Paper on Polar: Function Code Aware Fuzz Testing of ICS Protocol is accepted to EMSOFT 2019 as a Best Paper Candidate!
• [07/2019] [Paper] Paper on DeVos: A Learning-based Delay Model of Voltage-Scaled Circuits is accepted to CODES+ISSS 2019!
• [06/2019] [Award] Paper on Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design is accepted to CPSCOM and received Best Paper Award!
• [06/2019] [Paper] Paper on Industry Practice of Coverage-guided Enterprise Linux Kernel Fuzzing is accepted to ESEC/FSE 2019.
• [06/2019] [Student] Raymond Ogunjimi (Hoffman Trailblazer Summer Research Fellowship) joins DETAIL to conduct research on approximate computing this summer. Welcome, Ray!
• [06/2019] [Talk] Xun Jiao delivered an invited talk at DACPS workshop at Design Automation Conference (DAC) 2019.
• [06/2019] [Paper] Paper on Detecting and Bypassing Trivial Computations in Convolutional Neural Networks is accepted to NANOARCH 2019.
• [05/2019] [Paper] Paper on Energy Efficient GPU Applications Through Computation Skip is accepted to ICESS 2019.
• [05/2019] [Paper] Paper on Emsemble Fuzzing with Seed Synchronization among Diverse Fuzzers is accepted to USENIX Security 2019.
• [04/2019] [Student] Xingjian Wang’s application for Villanova Undergraduate Research Fellowship (VURF) Program has been selected for Summer 2019!
• [02/2019] [Student] Shenda Huang receives First Year Student Research Match Program from Villanova University to work on low precision deep neural networks.
• [02/2019] [Grant] Xun Jiao receives University Summer Grant (USG) from Villanova University to work on efficient deep learning accelerator.
• [02/2019] [Service] Xun Jiao has served as the guest editor on the Special Issue on Dependable Cyber Physical Systems in Journal of Systems Architecture. Please consider to submit!
• [01/2019] [Grant] Received the Donation of (1) Titan V GPU from NVIDIA Corporation for Deep Learning Hardware Research!
• [01/2019] [Student] Dongning Ma will be with DETAIL as a new Ph.D. student starting from 01/2019, welcome!
• [12/2018] [Service] Xun Jiao has been appointed as Associate Editor of IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD)!
• [12/2018] [Service] Xun Jiao served on TPC in LCTES 2019. Please consider to submit!
• [11/2018] [Service] Xun Jiao served on TPC in International Conference on Omni-layer Intelligent Systems. Please consider submit!
• [10/2018] [Service] Xun Jiao has co-organized a special session on dependable cyber-physical system in IEEE International Conference on Cyber Physical and Social Computing (CPSCOM-2019). Please consider submit!
• [08/2018] [Student] Xun Jiao has joined ECE department of Villanova University as tenure-track assistant professor this fall. I am looking for self-motivated Ph.D. students to join, working on energy-efficient machine learning accelerator.

Dependable, Efficient, and Intelligent Computing Lab (DETAIL)

Department of Electrical and Computer Engineering, Villanova University

800 E. Lancaster Ave., Villanova, 19085

Email: xun.jiao@villanova.edu