people

Philipp Leitner

I am an Associate Professor of Software Engineering at Chalmers, a private research university in Gothenburg, Sweden. I currently manage the Software Engineering 2 unit, with approximately 25 faculty and doctoral students. My current research interests are centered around measuring, predicting, and improving the performance of software systems, especially (but not only) in a cloud computing context.

I also lead the Internet Computing and Emerging Technologies Lab (ICET-lab), a research group focussing on various aspects of Internet and cloud computing. I have published some 150 peer-reviewed publications on performance engineering, (micro-) services, cloud systems, and empirical software engineering, leading to an h-index of 45 as tracked by Google Scholar. I am commonly publishing at and reviewing for top conferences and journals in the field, including ICSE, FSE, TSE, and EMSE.

More detailed information, including a full publication list, can be found on my personal webpage.

Francisco Gomes de Oliveira Neto

I am a Senior Lecturer in Software Engineering at the University of Gothenburg, Sweden. My main research areas are: Automated Software Testing, (AI) Bots to aid Software Engineers, and Scalable and Inclusive Software Engineering Education. Check out my google scholar page and some of my papers in FSE, TSE, JSS, PeerJ, and ICSE-SEET. This blend of areas show my personal interest in both the technical and human aspects of software engineering. I am also a regular reviewer for top journals such as TSE, EMSE, JSS, IST and TOCE.

I also serve as the Equity, Diversity, and Inclusion (EDI) representative for our Computer Science and Engineering department. In this role, I monitor and propose initiatives to foster a more equitable and supportive work environment. I advocate for LGBTQIA+ inclusion and representation in academia and co-organize Girls Code Club, a summer bootcamp to teach programming to high-school girls.

Hamdy Michael Ayas

I am a postdoctoral researcher at Chalmers University of Technology, after defending my dissertation “An Empirical Investigation of Microservices-based Software Architectures from a Socio-Technical Perspective” in May 2024.

I conducted my PhD research under the supervision of Regina Hebig and Philipp Leitner. I studied microservice architectures in practice, with a particular focus on human aspects.

Linda Erlenhov

I am a PhD student and part-time teacher (Timlärare) at Chalmers University of Technology. My primary area of research is software bots, and their contribution to software ecosystems. My PhD supervisors are Philipp Leitner and Francisco Gomes.

Prior to my return to academia, I worked for over a decade in the software industry at various companies in the automotive sector.

Peter Samoaa

I am a PhD student specializing in enhancing regression techniques for trees and graphs. My research focuses on analyzing the behavior of tree-based neural networks in regression tasks. I aim to improve regression performance from both model-centric and data-centric perspectives. This includes enhancing models through advanced algorithms and improving data quality by acquiring labels for graph data using active learning. My primary tool for graph regression analysis is Graph Neural Networks (GNNs). As part of my research, I use software performance prediction as a case study to validate my methods.

I conduct my PhD studies under the supervision of Philipp Leitner and Morteza Haghir Chehreghani.

Ranim Khojah

I am a PhD student at Chalmers University of Technology, conducting research on the use of large language models in software engineering. I conduct my research under the supervision of Philipp Leitner and Francisco Gomes. I hold a bachelor’s degree in Software Engineering and a master’s degree in Language Technology, both from the University of Gothenburg. My current interests include chatbots that can assist with activities during the software development lifecycle, such as code generation, explanation, and completion.

More information can be found on my personal webpage.