Search
Close this search box.

Latifah Almaghrabi

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

Manuel Reis Carneiro received his M.Sc. degree in electrical and computer engineering with a specialization in automation from the University of Coimbra, Portugal, in 2019. He is currently a dual degree PhD student in the University of Coimbra and the Carnegie Mellon University. His research interests include stretchable and printed electronics, bioelectronic systems and human machine interfaces, with a special focus on medical applications

Pedro Valdeira

PhD candidate in Electrical and Computer Engineering with a background in Aerospace Engineering. Research interests: machine learning and optimization, with a particular emphasis on distributed optimization for federated learning.

Vikram Gupta

Vikram Gupta

From 2008 to 2014, Vikram went to Carnegie Mellon University and University or Porto under the CMU-Portugal program to pursue PhD in Computer Engineering. As a part of his PhD, Vikram’s research won the best paper award at Sensys 09 among several highly cited publications. After finishing the doctoral studies, he came back to India to found Awiros, a technology startup based in Delhi that is building the world’s first Video Intelligence Operating System.

Vinay Uday Prabhu

Vinay Uday Prabhu

Vinay Prabhu is currently the Chief Scientist at UnifyID Inc, where he leads efforts towards architecting and deploying the state-of-the-art passive mobile biometrics solution by bringing together machine learning algorithms and smart-sensor data to model the human behind the device.