Profiles

Administrative Staff

Biography

Marta obtained her M.S. in Arts in Pedagogical Univesity of Cracow in Poland in 2006. In years 2004 - 2005 she studied in Aalto University of Art and Design in Helsinki, Finland. Later on, Marta, obtained further qualification in Audiovisual Communication in Vocational Adults Education Center, Espoo in Finland. Prior to joining KAUST she worked as a freelance graphic designer for University of Helsinki, for Metropolia University of Applied Sciences in Helsinki, Finland, and for private customers in Finland and Poland. I am an active art painter and I held many art exhibitions (solo and group) in Poland, Finland and KSA.

Marta joined KAUST in August 2014 and worked as a graphic designer in the Presidents Office, at KAUST Marketing and Communication Office, and since September 2017 for CEMSE Division. 

Expertise and Interests

Detail-oriented and results-driven Graphic Designer producing high-quality graphics, illustrations and layouts for websites, social media, and print. I've been working with scientific disciplines, efficiently expressing complex data and ideas through deliverables like scientific posters and presentations, infographics, animations, and other visual aids that can make scientific concepts more engaging and accessible to non-experts.

Video Producer with a solid working knowledge in supporting vertical content teams, assembling and editing footage, maintaining fluid storylines, and selecting the desired camera angles. Skilled in performing color grading, trimming, integrating transitions, and incorporating voiceover and audio elements.  

Education
Master of Fine Arts (MFA)
Art and Design, Pedagogical University of Krakow, Poland, 2006

Former Members

Biography

I hold a Bachelor’s degree in Mechatronic Engineering from Universidad Autónoma de Bucaramanga, a Master’s in Artificial Intelligence and Robotics from the International University of Applied Sciences in Germany, and am pursuing an M.Eng. in AI at the University of Cincinnati. My early career combined machine learning engineering and software development, leading projects in computer vision, NLP, and robotics. I have contributed to AI solutions in retail, UAV systems, and edge devices, and authored professional courses on neural networks and computer vision.

Expertise and Interests

My research interests include computer vision, deep learning, and AI for robotics. I focus on developing perception and reasoning systems for real-world applications, such as retail analytics, UAV navigation, and edge computing. I am also interested in reinforcement learning and multimodal AI systems that combine visual, thermal, and language data.

Education
Master of Engineering (M.Eng.)
Artificial Intelligence, University of Cincinnati, United States, 2025
Master of Science (M.S.)
Artificial Intelligence and Robotics, International University of Applied Sciences, Germany, 2023
Bachelor of Science (B.S.)
Mechatronic Engineering, Universidad Autónoma de Bucaramanga, Colombia, 2020
Biography

Andrea Rocha is a research specialist in statistics at KAUST, working with the Stochastic Processes and Mathematical Statistics group. Before joining KAUST, she was an associate professor in the Department of Scientific Computing at the Federal University of Paraíba (UFPB), Brazil, where she also held various academic and coordination roles over nearly 15 years.

Her academic background includes a Ph.D. in Computational Mathematics, an M.Sc. in Statistics, and a B.Sc. in Statistics, all from the Federal University of Pernambuco (UFPE). Her doctoral and master’s work was supervised by Professor Andrei Toom.

Andrea’s research bridges theory and application in computational statistics, with a focus on probabilistic modeling, regression analysis, and stochastic processes. She has authored several publications in international journals and co-authored academic books on probability and random processes.

Expertise and Interests

Andrea’s research lies at the intersection of computational mathematics, statistical inference, and applied probability. Her main areas of interest include:

  • Statistical modeling of complex data using Bayesian methods
  • Machine learning techniques for regression and classification
  • Probabilistic simulation and stochastic processes
  • Diagnostic and influence analysis in regression models
  • Dispersion models and beta regression

She has contributed to the theory and application of statistical methods through both individual research and collaborations.