Pooyan Jamshidi

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Claus PahlFree University of Bozen-Bolzano, Faculty of Computer ScienceVerified email at unibz.it
Aakash AhmadLancaster University LeipzigVerified email at lancaster.ac.uk
Fereidoon Shams AlieeProfessor, Faculty of Computer Science & Engineering, Shahid Beheshti UniversityVerified email at sbu.ac.ir
Christian KästnerCarnegie Mellon University, School of Computer ScienceVerified email at cs.cmu.edu
Nabor MendoncaTitular Professor, Universidade de FortalezaVerified email at unifor.br
Armin BalalaieMeta PlatformsVerified email at fb.com
Abbas HeydarnooriBowling Green State UniversityVerified email at bgsu.edu
Norbert SiegmundProfessor of Computer Science, Leipzig UniversityVerified email at informatik.uni-leipzig.de
Miguel VelezGoogleVerified email at alumni.cmu.edu
Mohammad Ali JavidianAssistant Professor, Appalachian State UniversityVerified email at appstate.edu
Md Shahriar IqbalUniversity of South CarolinaVerified email at email.sc.edu
David GarlanProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
André van HoornUniversity of Hamburg, GermanyVerified email at uni-hamburg.de
Bradley SchmerlPrinciple Systems Scientist, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Dr. Amir Molzam ShariflooVerified email at paluno.uni-due.de
Javier CámaraAssociate Professor of Computer Science, University of MálagaVerified email at uma.es
Sedigheh KhoshnevisPhD,Shahid Beheshti University, IAU Shahr-e-Qods Branch, ORCID:0000-0001-5201-6731Verified email at sbu.ac.ir
Damian A. TamburriAssociate Prof., TU/e - JADS, Politecnico di MilanoVerified email at acm.org
Alireza KhoshkbarforoushhaPhD, Australian National University (ANU)Verified email at amazon.com
Ilias GerostathopoulosAssistant Professor at VU AmsterdamVerified email at vu.nl

Pooyan Jamshidi

Assistant Professor of Computer Science and Engineering, University of South Carolina, Google

Verified email at cse.sc.edu - Homepage

Machine Learning Systems Causality Computer Systems Adversarial Machine Learning Autonomous Systems


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Introducing Interactions in Multi-Objective Optimization of Software Architectures V Cortellessa, JA Diaz-Pace, D Di Pompeo, S Frank, P Jamshidi, M Tucci, ... arXiv preprint arXiv:2308.15084, 2023		2023
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency S Ghafouri, K Razavi, M Salmani, A Sanaee, T Lorido-Botran, L Wang, ... arXiv preprint arXiv:2308.12871, 2023		2023
Rethinking Robust Contrastive Learning from the Adversarial Perspective F Ghofrani, M Yaghouti, P Jamshidi The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023		2023
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks MS Iqbal, J Su, L Kotthoff, P Jamshidi Journal of Artificial Intelligence Research 77, 645-682, 2023		2023
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems MS Iqbal, Z Zhong, I Ahmad, B Ray, P Jamshidi arXiv preprint arXiv:2306.07888, 2023		2023
Independent Modular Networks H Damirchi, F Agostinelli, P Jamshidi arXiv preprint arXiv:2306.01316, 2023		2023
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems M Shahriar Iqbal, Z Zhong, I Ahmad, B Ray, P Jamshidi arXiv e-prints, arXiv: 2306.07888, 2023		2023
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots MA Hossen, S Kharade, B Schmerl, J Cámara, JM O'Kane, EC Czaplinski, ... IEEE Robotics and Automation Letters, 2023	1	2023
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems M Salmani, S Ghafouri, A Sanaee, K Razavi, M Mühlhäuser, J Doyle, ... Proceedings of the 3rd Workshop on Machine Learning and Systems, 78-86, 2023	3	2023
On the Role of Contrastive Representation Learning in Adversarial Robustness: An Empirical Study F Ghofrani, M Yaghouti, P Jamshidi arXiv preprint arXiv:2302.02502, 2023		2023
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots M Abir Hossen, S Kharade, B Schmerl, J Cámara, JM O'Kane, ... arXiv e-prints, arXiv: 2301.07690, 2023		2023
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation D Weyns, I Gerostathopoulos, B Buhnova, N Cardozo, E Cioroaica, ... ACM SIGSOFT Software Engineering Notes 47 (4), 18-24, 2022	5	2022
Improving the Performance of DNN-based Software Services using Automated Layer Caching M Abedi, Y Iouannou, P Jamshidi, H Hemmati arXiv preprint arXiv:2209.08625, 2022		2022
SPEC Research-Introducing the Predictive Data Analytics Working Group: Poster Paper A Bauer, M Leznik, MS Iqbal, D Seybold, I Trubin, B Erb, J Domaschka, ... Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022		2022
Change Point Detection for MongoDB Time Series Performance Regression M Leznik, MS Iqbal, I Trubin, A Lochner, P Jamshidi, A Bauer Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022	4	2022
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems A Mokhtari, MA Hossen, P Jamshidi, MA Salehi 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 459-468, 2022	6*	2022
Getting the Best Bang For Your Buck: Choosing What to Evaluate for Faster Bayesian Optimization S Iqbal, J Su, L Kotthoff, P Jamshidi 1st International Conference on Automated Machine Learning, 2022		2022
On debugging the performance of configurable software systems: Developer needs and tailored tool support M Velez, P Jamshidi, N Siegmund, S Apel, C Kästner Proceedings of the 44th International Conference on Software Engineering …, 2022	13	2022
Unicorn: reasoning about configurable system performance through the lens of causality MS Iqbal, R Krishna, MA Javidian, B Ray, P Jamshidi Proceedings of the Seventeenth European Conference on Computer Systems, 199-217, 2022	18	2022
AI for Addressing Unknown Unknowns in Outer Solar System Missions EC Czaplinski, J Cámara, K Dzurilla, MA Hossen, B Schmerl, J Su, ... 53rd Lunar and Planetary Science Conference 2678, 2734, 2022		2022

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