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• Ph D in Electrical Engineering/Computer Science, University of Colorado at Boulder (2020)

• Fairness-aware Configuration of Machine Learning Libraries ICSE (in press), Saeid Tizpaz Niari, Ashish Kumar, Gang Tab, Ashutosh Trevidi.
• QFuzz: Quantitative Fuzzing for Side Channels ISSTA (2021), Yannic Noller, Saeid Tizpaz-Niari.
• Quantitative Estimation of Side-Channel Leaks with Neural Networks STTT (2021), Saeid Tizpaz Niari.
• Data-Driven Debugging for Functional Side Channels NDSS (2020), Saeid Tizpaz Niari, Pavol Cerny, Ashutosh Trivedi.
• Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries ISSTA (2020), Saeid Tizpaz Niari, \vCern\'y, Pavol, Ashutosh Trivedi.
• Efficient detection and quantification of timing leaks with neural networks RV (2019), Saeid Tizpaz Niari, Pavol Cerny, Sriram Sankaranarayanan, Ashutosh Trivedi.
• Quantitative mitigation of timing side channels CAV (2019), Saeid Tizpaz Niari, Pavol Cerny, Ashutosh Trivedi.
• Differential performance debugging with discriminant regression trees AAAI 32 1 (2018), Saeid Tizpaz Niari, Pavol Cerny, Bor-Yuh E. Chang, Ashutosh Trivedi.

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