Pooyan Jamshidi

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 112

Top Venues

CoRR

IEEE Softw.

SEAMS@ICSE

Future Gener. Comput. Syst.

Publications

Md. Abir Hossen, Sonam Kharade, Jason M. O'Kane, Bradley R. Schmerl, David Garlan, Pooyan Jamshidi
CURE: Simulation-Augmented Auto-Tuning in Robotics. CoRR (2024)
Claire Le Goues, Sebastian Elbaum, David Anthony, Z. Berkay Celik, Mauricio Castillo-Effen, Nikolaus Correll, Pooyan Jamshidi, Morgan Quigley, Trenton Tabor, Qi Zhu
Software Engineering for Robotics: Future Research Directions; Report from the 2023 Workshop on Software Engineering for Robotics. CoRR (2024)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint). AAAI (2024)
Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. EuroMLSys@EuroSys (2024)
Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. CoRR (2024)
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. CoRR (2023)
Md. Abir Hossen, Sonam Kharade, Bradley R. Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots. IEEE Robotics Autom. Lett. 8 (7) (2023)
Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi
Independent Modular Networks. CoRR (2023)
Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. CoRR (2023)
Ali Mokhtari, Saeid Ghafouri, Pooyan Jamshidi, Mohsen Amini Salehi
HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems. CoRR (2023)
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. SoCC (2023)
Vittorio Cortellessa, J. Andres Diaz-Pace, Daniele Di Pompeo, Sebastian Frank, Pooyan Jamshidi, Michele Tucci, André van Hoorn
Introducing Interactions in Multi-Objective Optimization of Software Architectures. CoRR (2023)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks. J. Artif. Intell. Res. 77 (2023)
Md. Abir Hossen, Sonam Kharade, Bradley R. Schmerl, Javier Cámara, Jason M. O'Kane, Ellen C. Czaplinski, Katherine A. Dzurilla, David Garlan, Pooyan Jamshidi
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots. CoRR (2023)
Fatemeh Ghofrani, Mehdi Yaghouti, Pooyan Jamshidi
On the Role of Contrastive Representation Learning in Adversarial Robustness: An Empirical Study. CoRR (2023)
Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mühlhäuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems. EuroMLSys@EuroSys (2023)
Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mühlhäuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems. CoRR (2023)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys (2022)
Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer
Change Point Detection for MongoDB Time Series Performance Regression. ICPE (Companion) (2022)
Mohammadamin Abedi, Yanni Iouannou, Pooyan Jamshidi, Hadi Hemmati
Improving the Performance of DNN-based Software Services using Automated Layer Caching. CoRR (2022)
Ali Mokhtari, Md. Abir Hossen, Pooyan Jamshidi, Mohsen Amini Salehi
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems. CLOUD (2022)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. CoRR (2022)
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. ICPE (Companion) (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47 (4) (2022)
Ali Mokhtari, Pooyan Jamshidi, Mohsen Amini Salehi
FELARE: Fair Scheduling of Machine Learning Applications on Heterogeneous Edge Systems. CoRR (2022)
Rahul Goel, Modar Sulaiman, Kimia Noorbakhsh, Mahdi Sharifi, Rajesh Sharma, Pooyan Jamshidi, Kallol Roy
Pre-Trained Language Transformers are Universal Image Classifiers. CoRR (2022)
Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR (2022)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR (2022)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. ICSE (2022)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS Conference (2021)
Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid
Accelerating Recursive Partition-Based Causal Structure Learning. CoRR (2021)
Kimia Noorbakhsh, Modar Sulaiman, Mahdi Sharifi, Kallol Roy, Pooyan Jamshidi
Pretrained Language Models are Symbolic Mathematics Solvers too! CoRR (2021)
Ahmad Banijamali, Pasi Kuvaja, Markku Oivo, Pooyan Jamshidi
Kuksa*: Self-Adaptive Microservices in Automotive Systems. CoRR (2021)
Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi
Scalable Causal Transfer Learning. CoRR (2021)
Nabor Chagas Mendonça, Pooyan Jamshidi, David Garlan, Claus Pahl
Developing Self-Adaptive Microservice Systems: Challenges and Directions. IEEE Softw. 38 (2) (2021)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. CoRR (2021)
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. 47 (12) (2021)
Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid
Accelerating Recursive Partition-Based Causal Structure Learning. AAMAS (2021)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. ICSE (2021)
Ying Meng, Jianhai Su, Jason M. O'Kane, Pooyan Jamshidi
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. CoRR (2020)
Catia Trubiani, Aldeida Aleti, Sarah Goodwin, Pooyan Jamshidi, André van Hoorn, Samuel Gratzl
VisArch: Visualisation of Performance-based Architectural Refactorings. ECSA (2020)
Mahdi Fahmideh, Mohsen Sharifi, Pooyan Jamshidi
Enhancing the OPEN Process Framework with Service-Oriented Method Fragments. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. 69 (2020)
Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study. CoRR (2020)
Antonio Brogi, Antonio Bucchiarone, Rafael Capilla, Pooyan Jamshidi, Maurizio Leotta, Zoltán Ádám Mann, Marina Mongiello, Francesco Nocera
Ensemble-Based Software Engineering for Modern Computing Platforms. ACM SIGSOFT Softw. Eng. Notes 45 (1) (2020)
Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR (2020)
Mahdi Fahmideh, Fereidoon Shams, Pooyan Jamshidi
Toward a Methodological Knowledge for Service-Oriented Development Based on OPEN Meta Model. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR (2020)
Ahmad Banijamali, Pasi Kuvaja, Markku Oivo, Pooyan Jamshidi
: Self-adaptive Microservices in Automotive Systems. PROFES (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI (2020)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks. CoRR (2020)
Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner
ConfigCrusher: towards white-box performance analysis for configurable systems. Autom. Softw. Eng. 27 (3) (2020)
Mahdi Fahmideh, Mohsen Sharifi, Pooyan Jamshidi, Fereidoon Shams, Hassan Haghighi
Process Patterns for Service Oriented Development. CoRR (2020)
Mahdi Fahmideh, Pooyan Jamshidi, Fereidoon Shams
A Procedure for Extracting Software Development Process Patterns. CoRR (2020)
Claus Pahl, Pooyan Jamshidi, Olaf Zimmermann
Microservices and Containers. SE (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR (2020)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR (2019)
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
Model-Based Adaptation for Robotics Software. IEEE Softw. 36 (2) (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR (2019)
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. CoRR (2019)
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM (2019)
Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi
Transfer Learning for Performance Modeling of Deep Neural Network Systems. OpML (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots. SEAMS@ICSE (2019)
Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian
Avoiding Social Disappointment in Elections. AAMAS (2019)
Ahmad Banijamali, Pooyan Jamshidi, Pasi Kuvaja, Markku Oivo
Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain. PROFES (2019)
Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner
ConfigCrusher: White-Box Performance Analysis for Configurable Systems. CoRR (2019)
Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR (2019)
Ahmad Banijamali, Pooyan Jamshidi, Pasi Kuvaja, Markku Oivo
Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain. CoRR (2019)
Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. CoRR (2019)
Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker
How is Performance Addressed in DevOps? ICPE (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
Understanding similarities and differences in software development practices across domains. ICGSE (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME (2019)
Catia Trubiani, Pooyan Jamshidi, Jürgen Cito, Weiyi Shang, Zhen Ming Jiang, Markus Borg
Performance Issues? Hey DevOps, Mind the Uncertainty. IEEE Softw. 36 (2) (2019)
Nabor C. Mendonça, Pooyan Jamshidi, David Garlan, Claus Pahl
Developing Self-Adaptive Microservice Systems: Challenges and Directions. CoRR (2019)
Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi
Transfer Learning for Performance Modeling of Deep Neural Network Systems. CoRR (2019)
Claus Pahl, Antonio Brogi, Jacopo Soldani, Pooyan Jamshidi
Cloud Container Technologies: A State-of-the-Art Review. IEEE Trans. Cloud Comput. 7 (3) (2019)
Marcello M. Bersani, Francesco Marconi, Damian A. Tamburri, Andrea Nodari, Pooyan Jamshidi
Verifying big data topologies by-design : a semi-automated approach. J. Big Data 6 (2019)
Armin Balalaie, Abbas Heydarnoori, Pooyan Jamshidi, Damian A. Tamburri, Theo Lynn
Microservices migration patterns. Softw. Pract. Exp. 48 (11) (2018)
Allan Mori, Gustavo Vale, Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Elder Cirilo, Pooyan Jamshidi, Christian Kästner
Evaluating domain-specific metric thresholds: an empirical study. TechDebt@ICSE (2018)
Aldeida Aleti, Catia Trubiani, André van Hoorn, Pooyan Jamshidi
An efficient method for uncertainty propagation in robust software performance estimation. J. Syst. Softw. 138 (2018)
Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi
Transfer Learning with Bellwethers to find Good Configurations. CoRR (2018)
Pooyan Jamshidi, Claus Pahl, Nabor C. Mendonça, James Lewis, Stefan Tilkov
Microservices: The Journey So Far and Challenges Ahead. IEEE Softw. 35 (3) (2018)
Cor-Paul Bezemer, Simon Eismann, Vincenzo Ferme, Johannes Grohmann, Robert Heinrich, Pooyan Jamshidi, Weiyi Shang, André van Hoorn, Mónica Villavicencio, Jürgen Walter, Felix Willnecker
How is Performance Addressed in DevOps? A Survey on Industrial Practices. CoRR (2018)
Frank Fowley, Claus Pahl, Pooyan Jamshidi, Daren Fang, Xiaodong Liu
A Classification and Comparison Framework for Cloud Service Brokerage Architectures. IEEE Trans. Cloud Comput. 6 (2) (2018)
Claus Pahl, Pooyan Jamshidi, Olaf Zimmermann
Architectural Principles for Cloud Software. ACM Trans. Internet Techn. 18 (2) (2018)
Aldeida Aleti, Catia Trubiani, André van Hoorn, Pooyan Jamshidi
An Efficient Method for Uncertainty Propagation in Robust Software Performance Estimation. CoRR (2018)
Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund
Learning to sample: exploiting similarities across environments to learn performance models for configurable systems. ESEC/SIGSOFT FSE (2018)
Hamid Arabnejad, Claus Pahl, Pooyan Jamshidi, Giovani Estrada
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling. CCGrid (2017)
André van Hoorn, Pooyan Jamshidi, Philipp Leitner, Ingo Weber
Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World. CoRR (2017)
Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolás D'Ippolito, Ilias Gerostathopoulos, Andreas Berndt Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel
Control Strategies for Self-Adaptive Software Systems. ACM Trans. Auton. Adapt. Syst. 11 (4) (2017)
Claus Pahl, Pooyan Jamshidi, Danny Weyns
Cloud architecture continuity: Change models and change rules for sustainable cloud software architectures. J. Softw. Evol. Process. 29 (2) (2017)
Hamid Arabnejad, Claus Pahl, Pooyan Jamshidi, Giovani Estrada
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling. CoRR (2017)
Carlos M. Aderaldo, Nabor C. Mendonça, Claus Pahl, Pooyan Jamshidi
Benchmark Requirements for Microservices Architecture Research. ECASE@ICSE (2017)
Pooyan Jamshidi, Claus Pahl, Nabor C. Mendonça
Pattern-based multi-cloud architecture migration. Softw. Pract. Exp. 47 (9) (2017)
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis. CoRR (2017)
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal
Transfer learning for performance modeling of configurable systems: an exploratory analysis. ASE (2017)
Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar
Transfer Learning for Improving Model Predictions in Highly Configurable Software. SEAMS@ICSE (2017)
Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar
Transfer Learning for Improving Model Predictions in Highly Configurable Software. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pooyan Jamshidi