I got my BSc in Electronics Engineering and my MSc in Electrical and Computer Engineering, both at IST, this last one focused on micro and nano-electronics design. The objective for my Ph.D. under the CMU Portugal Program is to develop and improve power harvesting and data transmission techniques for integrated circuits applied to bioengineering.
In my Ph.D. program, I’m developing an energy consumption model for virtualized 5G base stations. This model aims to enable real-time adjustments to base station configurations, to minimize their energy consumption without compromising performance.
I’m a 4th year PhD student in ECE in the CMU-Portugal program between CMU and IST (Lisbon, Portugal), where I’m advised by Justine Sherry at CMU and João Luís Sobrinho at IST. My research interests are in the applications of theoretical computer science to computer networking, namely to problems of traffic engineering and network design.
Latifah graduated from Georgia Tech in 2018 with a Bachelor of Science in Electrical Engineering. She received a Master of Science in Electrical Engineering from KAUST in 2020. In the Photonics Laboratory at KAUST, she studied the electrical characteristics of lower-dimensional materials, including GaN-based nanowires. Currently, she is a dual ECE Ph.D. student at CMU and the University of Aveiro. Latifah is co-advised by Prof. LeDuc from CMU and Dr. Paula Marques and Prof. Pedro Fonseca from the University of Aveiro. Her research focuses on studying and modeling ECM-based neural scaffolds for spinal cord injuries. For her thesis, she is investigating sustainable powering solutions for implanted medical devices.
Manuel Reis Carneiro earned his dual-degree PhD candidate at Carnegie Mellon University and the University of Coimbra, researching soft, sustainable, and printed electronics for healthcare and wearables applications. He has over 15 scientific publications and has received innovation awards from multiple entities, including IBM, Fraunhofer, and Huawei.
I am a PhD candidate in Electrical and Computer Engineering, pursuing a double degree at Carnegie Mellon University (CMU) and Instituto Superior Técnico (IST). I am advised by Yuejie Chi (CMU) and João Xavier (IST), and co-advised by Cláudia Soares (NOVA). Prior to that, I received an MSc in Aerospace Engineering from IST in 2019. My research interests focus on provable optimization methods for efficient distributed machine learning systems. During my PhD, I have been working on efficient vertical federated learning.
