Research collaborations between Red Hatters and key Red Hat industry and university partners often produce peer-reviewed publications that bring open source contributions along with them.
These research artifacts illustrate the value that open industry-academia collaborations hold not just for participants, but for technological advancement across the field of computer engineering. This is a sampling of recent papers and conference presentations; to see more visit the publications page of the Red Hat Research website.
“Analysis of smart imaging runtime,” Thomas Athey (Massachusetts Institute of Technology), Shashata Sawmya (MIT), Yaron Meirovitch (Harvard University), Richard Schalek (Harvard), Pavel Potocek (Thermo Fisher Scientific, Saarland University), Ishaan Chandok (TFS, Harvard), Maurice Peemen (TFS), Jeff Lichtman (Harvard), Aravinthan Samuel (Harvard), Nir Shavit (MIT, Red Hat) In (2025) Applied Microscopy, 55(1), art. no. 10.
“AnnotationGym: a generic framework for automatic source code annotation,” Hafsah Shahzad (BU), Ahmed Sanaullah (Red Hat), Sanjay Arora (Red Hat), Ulrich Drepper (Red Hat), Martin Herbordt (BU). In (2025) IEEE Access 13, pp. 155321-339.
“Automating the detection of code vulnerabilities by analyzing GitHub issues,” Daniele Cipollone (Delft University of Technology), Changjie Wang (KTH Royal Institute of Technology, Sweden) Mariano Scazzariello (RISE AB), Simone Ferlin (Red Hat), Maliheh Izadi (DUT), Dejan Kostic (KTH, RISE AB), Marco Chiesa (KTH). In (2025) Proceedings of the 2025 IEEE ACM International Workshop on Large Language Models for Code Llm4code, pp. 41-48.
“Best-effort power model serving for energy quantification of cloud instances,” Sunyanan Choochotkaew (IBM Research), Tatsuhiro Chiba (IBM Research), Marcelo Amaral (IBM Research), Rina Nakazawa (IBM Research), Scott Trent (IBM Research), Eun Kyung Lee (IBM Research), Umamaheswari Devi (IBM Research), Tamar Eilam (IBM Research), and Huamin Chen (Red Hat). In (2024) 32nd International Conference on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS).
“Bridging clusters: a comparative look at multicluster networking performance in Kubernetes,” Sai Sindhur Malleni (Red Hat), Raúl Sevilla (Red Hat), José Castillo Lema (Red Hat), André Bauer (Illinois Institute of Technology). In (2025) Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, pp. 113-23.
“Efficient manipulation of control flow models in evolving software,” Tomáš Fiedor (Brno University of Technology, Red Hat), Jiří Pavela (BUT, Red Hat), Adam Rogalewicz (BUT), Tomáš Vojnar (BUT, Masaryk University). In (2025) Lecture Notes in Computer Science 15172 LNCS, pp. 412-28.
“Fixing invalid CVE-CWE mappings in threat databases,” Şevval Şimşek (BU), Howell Xia (BU), Jonah Gluck (BU), David Sastre Medina (Red Hat), David Starobinski (BU). In (2025) IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 950-60.
“Generic multicast,” José Augusto Bolina (Red Hat), Pierre Sutra (Télécom SudParis, INRIA, France), Douglas Antunes Rocha (Federal University of Uberlandia, Brazil), Lasaro Camargos (FUU). In (2024) ACM International Conference Proceeding Series, pp. 81-90.
“A graph-based algorithm for optimizing GCC compiler flag settings,” Reza Sajjadinasab (Boston University), Sanjay Arora (Red Hat), Ulrich Drepper (Red Hat), Ahmed Sanaullah (Red Hat), Martin Herbordt (BU). In (2024) IEEE High Performance Extreme Computing Conference (HPEC).
“GREEN.DAT.AI: a data spaces architecture for enhancing green AI services,” Ioannis Chrysakis (Ghent University, Belgium) , Evangelos Agorogiannis (Netcompany-Intrasoft, Luxembourg), Nikoleta Tsampanaki (Netcompany-Intrasoft), Michalis Vourtzoumis (Netcompany-Intrasoft), Eva Chondrodima (University of Piraeus, Greece), Yannis Theodoridis (Piraeus), Domen Mongus (University of Maribor, Slovenia), Ben Capper (Red Hat), Martin Wagner (Eviden), Aris Sotiropoulos (AEGIS IT Research), et al. In (2025) Design, Automation & Test in Europe Conference (DATE).
“A neural network based GCC cost model for faster compiler tuning,” Hafsah Shahzad (BU), Ahmed Sanaullah (Red Hat), Sanjay Arora (Red Hat), Ulrich Drepper (Red Hat), Martin Herbordt (BU). In (2024) IEEE High Performance Extreme Computing Conference (HPEC).
“Performance comparison of service mesh frameworks: the MTLS test case,“ Anat Bremler Barr (Tel Aviv University), Ofek Lavi (TAU), Yaniv Naor (Reichman University), Sanjeev Rampal (Red Hat), Jonathan Tavori (TAU). In (2025) Proceedings of IEEE IFIP Network Operations and Management Symposium (NOMS).
“PraxiPaaS: a decomposable machine learning system for efficient container package discovery,” Zongshun Zhang (BU), Rohan Kumar (BU), Jason Li (BU), Lisa Korver (BU), Anthony Byrne (Red Hat), Gianluca Stringhini (BU), Ibrahim Matta (BU), Ayse Coskun (BU). In (2024) Proceedings of the 2024 IEEE International Conference on Cloud Engineering (IC2E), pp. 178-88.
“Scalable and distributed processing of 3D astronomical data cubes for galaxy evolution studies using the AC3 framework,” Mario Chamorro-Cazorla (Universidad Complutense de Madrid, Spain), Christina Catalán-Torrecilla (UCM), Ray Carroll (Red Hat), Ben Capper (Red Hat), Ryan Jenkins (Red Hat). In (2025) 11th IEEE Conference on Network Functions Virtualization and Software-Defined Networking (NFV-SDN’25), forthcoming.
“Timerlat: real-time Linux scheduling latency measurements, tracing, and analysis,” Daniel Bristot de Oliveira (Red Hat), Daniel Casini (Scuola Superiore Sant’Anna, Italy), Juri Lelli (Red Hat), Tommaso Cucinotta (SSSA). In (2025) IEEE Transactions on Computers 74:8, pp. 2608-20.
“Understanding similarities and differences between software composition analysis tools,” Pranet Sharma (BU), Zhenpeng Shi (BU), Şevval Şimşek (BU), David Starobinski (BU), David Sastre Medina (Red Hat) In (2025) IEEE Security and Privacy 23:1, pp. 53-63.
“VeBPF many-core architecture for network functions in FPGA-based SmartNICs and IoT,” Zai Tahir (BU), Ahmed Sanaullah (Red Hat), Sahal Bandara (BU),Ulrich Drepper (Red Hat), Martin Herbordt (BU). In (2024) IEEE High Performance Extreme Computing Conference (HPEC).
“Wasserstein distances, neuronal entanglement, and sparsity,” Shashata Sawmya (MIT), Linghao Kong (MIT), Ilia Markov (IST Austria), Dan Alistarh (IST Austria, Neural Magic/Red Hat), Nir Shavit (MIT, Neural Magic/Red Hat) In (2025) 13th International Conference on Learning Representations (ICLR), pp. 26244-274.
Open dissemination of research results increases transparency, promotes replicability, and acclerates innovation. Share with us by reaching out to academic@redhat.com.