Marc Moreno Lopez Ph.D. Email & Phone Number

Denver, CO, US

Denver, Colorado, United States

Denver, Colorado, United States

• Advised students with the Balsells Fellowship on all aspects of the administrative side of the program.
• Acted as intermediary between the university and the students, solving issues and making thecommunication process smoother.
• Recruited new students and selected the best candidates for the program.

Colorado Springs, Colorado Area

• Worked as a teacher assistant and grader for:
• CS1090: Introduction to MATLAB
• CS1150: Principles of Computer Science
• CS2300: Computational Linear Algebra
• CS5860: Machine LearningStarted by grading homework and tests. Was given more responsibilities in the classroom, including hosting office hours and designing course material. Designed course material, projects and.

Colorado Springs, Colorado Area

• Applied and developed Deep Learning and Machine Learning architectures for brain tumor segmentation, MRI segmentation and MRI denoising.
• Developed a co-learning Deep Learning architecture for denoising and segmenting MRI simultaneously.
• Adapted a new Convolutional Neural Network (CNN) technique to brain tumor segmentations, presenting an accuracy of over 75%.
• Developed data augmentation algorithms to compensate for the lack of publicly available medical data using Computer Vision algorithms.
• Collaborated with undergraduate students in teams of 2-3 people during summer projects to explore newareas of medical imaging.
• Worked on Natural Language Processing and published a survey paper on Deep Learning techniquesapplied to NLP.

Barcelona Area, Spain

• Created and designed an eCatalog using HTML5, CSS and SQL databases.
• Collaborated with each department head to get the most accurate product information for the website.
• Designed the user interface and constructed the product

Barcelona, Catalonia, Spain

• Created an algorithm to summarize soccer games by detecting highlights through the game using audio and video processing.
• Was designated Project Leader for a team of 10 people, where I had to find the right position for each teammate in accordance to their strengths and preferences.
• Designed project timeline and made sure that each part of the team was accommodated and well-informed about deadlines.
• Developed goalpost detection technique using image processing tools.
• Assembled all parts of the project using weighted machine learning algorithms.
• Concluded the project with honors and was brought to TV representatives for future collaborations.

Doctor Of Philosophy - Phd, Computer Science, 4.0

• Balsells Graduate Fellowship recipient • UCCS Biofrontiers Grant recipient • PhD Dissertation: Evaluating the Interference of Noise when.

Master’S Degree, Computer Science, 4.0

Activities and Societies: Teacher Assistant, Grader• Balsells Graduate Fellowship recipient • MSCS Outstanding Student Award • Master.

Bachelor’S Degree, Electrical, Electronics And Communications Engineering, 7.0

Activities and Societies: AVED association