Kanad Basu
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Assistant Professor ContactOffice: ECSN 4.922 |
Education
Ph.D.: Computer Engineering, University of Florida, 2012.
M.S.: Computer Engineering, University of Florida, 2012.
B.E.: Electronics and Telecommunication Engineering, Jadavpur University, India, 2007.
Experience
Assistant Professor, Department of ECE, UT Dallas, August 2019 – present.
Assistant Research Professor, Department of ECE, New York University, September 2017 – July 2019.
Senior R&D Engineer, Synopsys Inc., September 2013-August 2017.
Staff R&D Engineer, IBM Inc., August 2012-August 2013.
News
09/22: Paper titled “Time Series-based Detection and Impact Analysis of Firmware Attacks in Microgrids” has been accepted for publication at Elsevier Energy Reports
08/22: Paper titled “Design and Analysis of a Scalable and Efficient Quantum Circuit for LWE Matrix Arithmetic” has been accepted for publication at ICCD 2022
08/22: Paper titled “Logic Locking of Integrated Circuits Enabled by Nanoscale MoS2 Based Memtransistors” has been accepted for publication at ACS Applied Nano Materials
08/22: Paper titled “A Security Analysis of Circuit Clock Obfuscation” has been accepted for publication at MDPI Cryptography Journal
07/22: Paper titled “A Novel Low-power Compression Scheme for Systolic Array-based Deep Learning Accelerators” has been accepted for publication at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
07/22: Paper titled “SeqL+: Secure Scan-Obfuscation with Theoretical and Empirical Validation” has been accepted for publication at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
07/22: Paper titled “Detecting Functional Safety Violation in Online AI Accelerators” has been accepted for publication at IEEE International Symposium on On-Line Testing and Robust System Design
07/22: Team TIES won the third prize at HACK@DAC 2022
06/22: Paper titled “Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs” has been accepted for publication at International Test Conference
06/22: Paper titled “RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators” has been accepted for publication at International Test Conference
06/22: Paper titled “Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators” has been accepted for publication at IEEE Design and Test Journal
0522: Paper titled “Design and Logic Synthesis of a Scalable, Efficient Quantum Number Theoretic Transform” has been accepted for publication at ACMIEEE International Symposium on Low Power Electronics and Design
05/22: Paper titled “SEVNOC: Security Validation of System-on-Chip Designs with NoC Fabrics” has been accepted for publication at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
05/22: Paper titled “A Novel Unsupervised Learning Framework for Early Anomaly Detection of AMS Circuits in Automotive SoCs” has been accepted for publication at TECHCON 2022
05/22: Paper titled “Fault Resilience of DNN Accelerators for Compressed Sensor Inputs” has been accepted for publication at ISVLSI 2022
05/22: Paper titled “Survey on Quantum Noise-Aware Machine Learning” has been accepted for publication at Dallas CAS 2022
04/22: Dr. Basu is serving as a Technical Program Committee Member for ICCD 2022 and DFTS 2022
04/22: Paper titled “Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators” has been accepted for publication at VTS 2022
04/22: Paper titled “A Semi-formal Information Flow Validation for Analyzing Secret Asset Propagation in COTS IC Integrated Systems” has been accepted for publication at GLSVLSI 2022
03/22: Paper titled “Explainable Machine Learning Approach Quantified the Long-term (1981-2015) Impact of Climate and Soil Properties on Yields of Major Agricultural Crops across CONUS” has been accepted for publication at Frontiers in Sustainable Food Systems Journal
03/22: Congrats Ayush for securing an internship at Intel Labs
03/22: Congrats Shamik for securing an internship at Intel Labs
03/22: Dr. Basu has been invited as a speaker at TII
03/22: Dr. Basu is participating in Sustainability in Security, Security for Sustainability Workshop co-located with DATE 2022
02/22: Dr. Basu is serving as a Technical Program Committee Member for PAINE 2022
02/22: Dr. Basu is serving as a Technical Program Committee Member for ISVLSI 2022
02/22: Dr. Basu is serving as a Technical Program Committee Member for International Conference on Networking, Architecture, and Storage (NAS 2022)
01/22: Paper titled “Explainable Machine Learning for Intrusion Detection via Hardware Performance Counters” has been accepted for publication at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
01/22: Dr. Basu will serve as Associate Editor for IEEE Design and Test (D&T)
11/21: Paper titled “Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling” has been accepted for publication at AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)
11/21: Paper titled “A machine learning approach to thickness prediction from in situ spectroscopic ellipsometry data for atomic layer deposition processes” has been accepted for publication at AVS Journal of Vacuum Science and Technology A.
10/21: Congrats Dr. Abraham Kuruvila for passing your PhD defense! Abraham is the first graduate of TIES lab.
10/21: For the third year in a row, Team UTD has reached the finals of NYU CSAW Logic Locking Competition.
10/21: Dr. Basu will serve as Design Track co-Chair for AI/ML systems in DAC 2022, Publication Chair for VTS 2022 and Technical Program Committee Member for VLSID 2022