Mansoureh Aghabeig

• Implemented services & support for all data scientist issues, reducing computational cost & improving accuracy in most of the neurodegenerative research projects more than 50% against prior methods • Trained staff scientists to apply image analysis, data processing & statistics models to process the large set of microscopic images • Collaborated with the biology team, designing a clustering model for multi-variate image analysis data with 85% accuracy rate

• Facilitated in scientific research of sources of brain's cognitive activity, conducting a tensor decomposition of multi-domain brains' signals model, attaining a reliable representation of the underlying source of brain activity • Teamed up with psychology & neuroscience scientists, proposing a model for analysis a multi-domain EEG time-frequency data of infants & visualizing the results, leading to better diagnostic and therapeutic methods

• Influenced in combinatorial optimization metaheuristic research, proposed a scalarizing function-based multi-objective optimization model, enhancing the performance algorithm of traveling salesman problem & set covering problem • Designed the heterogeneous multi-objective optimization benchmarks, achieving a better calculation for the algorithm's performance in vehicle routing problem

M.Sc. in Computing Science • Specialization: Intelligent systems