André Costa
As I am a fan of extremely high performance, I enjoy looking at problems such as lock-free data structures, software transactional memory, memory allocation, memory reclamation, garbage collection, and performance-related operating systems problems. During my Msc’s thesis, I built a lock-free Memcached, reaching up to 6x speedup.
Rafael Gonçalves
I’m an incoming Computer Science PhD student at CMU and Instituto Superior Técnico (IST), co-advised by José Fragoso Santos, Limin Jia and Pedro Adão. I received my BSc (2021) and MSc (2023) in Computer Science and Engineering from IST. My research interests lie primarily in the areas of software security and formal methods.
Ehsan Farzadnia
I am a data engineer with a solid background in anomaly detection, currently focused on neuroimaging. Before starting my PhD, I spent seven years refining machine learning models to enhance system security through immunity measures, leading an AI research team and contributing to several peer-reviewed publications. My interest in neurolife and psychiatric disorders led me to deepened my knowledge in the field. I’d like to develop diagnostic biomarkers and make reliable predictions of mental illnesses leveraging my expertise in anomaly detection. I had the honor of collaborating with VMware and am passionate for open-source development and Git. The ultimate goal of my doctoral work is to enhance mental health care and reduce treatment costs.
Oraib Almegdadi
I am a PhD student in the Computer Science department at NOVA Lisbon in Portugal. My research focuses on AI models for environmental applications, utilizing satellite images and in-situ data. My passion lies in applying cutting-edge AI technology to develop innovative solutions for addressing and solving critical environmental challenges.
Susana Marques
I completed my Integrated Master’s degree in Informatics Engineering at the University of Minho in 2022. Currently, I am enrolled in the Doctoral Program in Informatics at the same university. Through this program, I am expanding my knowledge in the area of distributed systems, specifically in decentralized algorithms that can be applied to federated learning and exploring the benefits of these methods, particularly in terms of their performance and communication costs.
João Afonso Vilalonga
Afonso Vilalonga holds a BSc and an MSc in Computer Science Engineering from the School of Science and Technology at NOVA University of Lisbon, obtained in July 2020 and December 2022, respectively. His main research areas of interest are network security and privacy, privacy-preserving machine learning and communications, cloud and IoT security, and Internet censorship circumvention.
Ziqi Huang
Ziqi Huang is a PhD student in Computer Science and Engineering with a diverse research background spanning image super-resolution, facial recognition, audio signal analysis, and wireless signal processing. Currently, Ziqi’s research focuses on river soundscapes, leveraging advanced computational methods to analyze and classify bioacoustic signals. Through this work, Ziqi aims to contribute not only to the field of biology but also to raise public awareness about the importance of ecological preservation and the rich complexity of aquatic ecosystems.
Sofia Ferraz
I have a bachelor’s and a master’s degree in Biomedical Engineering, and I am currently pursuing a Ph.D. in Biomedical Engineering at the University of Porto. My research focuses on developing AI-driven solutions for cardiac assessment using POCUS, integrating deep learning to improve diagnostic accessibility.
I collaborate with INESC TEC, supervised by Prof. João Pedrosa and Prof. Miguel Coimbra, and work with Prof. Vijayakumar Bhagavatula at Carnegie Mellon University under the CMU Portugal Program, combining engineering and medicine through innovative computational methods.
