Profiles

José Maria earned his Bachelor of Engineering in Electronic Engineering, with a minor in Telecommunications, from Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru, in 2018. During his undergraduate studies, he was awarded a partially funded scholarship in 2013. In 2018, he received funding for a research project through the VII Annual Research Incentive Competition at UPC, which led to the publication of a paper and a presentation at the XXII Symposium on Image, Signal Processing, and Artificial Vision (STSIVA) in 2019.

José Maria began his career with internships at IBM Peru, first as a Computer Specialist and later as a Software Developer. His interest in the Internet of Things (IoT) grew, leading him to become a speaker at various universities, where he taught IoT and Machine Learning. He focused on using single-board computers to connect multiple devices and leverage environmental data. José Maria has worked on several research projects at UPC, including a notable Digital Image Processing project aimed at developing a reliable method for diagnosing health issues in coffee plants using machine learning in Python, providing early diagnosis tools for cultivators.

José Maria is proficient in Python, Java, and machine learning technologies. His research interests lie in leveraging machine learning to enhance communication methods, with a focus on coding and modulation, Smart Grid technologies, and satellite networks. He is passionate about the Internet of Things (IoT) and has shared his knowledge as a speaker at various universities, teaching IoT and Machine Learning. His sessions emphasize the use of single-board computers for data-driven device connectivity, showcasing practical applications of these technologies.

Karim is a graduate from Bauman Moscow State Technical University. He received a specialist degree in a field of electrical engineering (2014 – 2020), with a focus on radars and wireless communications. He worked at part-time job as embedded systems and DSP engineer for 2.5 years. After that he had internship in summer of 2019 at Huawei Russian Research Institute (RRI) and after graduating from university, he worked at Huawei RRI for 1 year. During his job he improved receiver’s sensitivity applying some convex and non-convex optimization approaches and provide some dimensionality reduction approaches for system identification.

Nowadays Karim works in topics related to Joint Sensing And Communication (JSAC), quantum computing and communications over unlicensed spectrum.

Adaptive algorithms in wireless communications, Radar signal processing and machine learning. Quantum computing.

Khalil obtained a bachelor of science degree in electromechanical engineering (with honor) in 2013 and a master of science in robotics in 2014 from the National Engineering School of Sfax (ENIS), Tunisia.

Khalil's Ph.D. research work is about "Miniaturized Drug Delivery Systems for Biomedical Applications" and his research interests include Drug Delivery Systems, Micropumps, Biomedical Devices, Bioengineering, and MEMS.

Research Interests

Motasem is interested in computer vision, machine learning, and continual learning.

Dr. Nasir Alfaraj is a KAUST Ibn Rushd Fellow at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada. He received his Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, in 2019. Prior to his doctoral studies, he earned his B.Sc. (2013) from Western Michigan University, Kalamazoo, MI, USA, and his M.Sc. (2015) from KAUST. Dr. Alfaraj is currently a Research Associate with the Helmy Group, and his research interests encompass the growth, fabrication, and characterization of CMOS-compatible semiconductor nanostructures and devices for nanophotonic applications, utilizing hybrid metallic architectures. He is an IEEE Senior Member.

Nasir's research investigated the design and clean-environment fabrication of solid-state and optoelectronic devices, including field-effect transistors and light-emitting diodes. His research expertise spans the areas of flexible electronics; optoelectronic device growth, fabrication, and characterization; and free-space optical communication. His research interests included Growth, fabrication, and characterization of group-III-nitride-based nanostructures for next-generation devices, Semiconductor physics and Quantum mechanics.