Deep Learning With MATLAB


Juice House’s iCode “Blend” is Bringing an Industrial Leader in Mathematical Computation to Present AI Applications on Medical Imaging Data

Juice House’s iCode “Blend” — a professional program that connects students with industry experts — is inviting MathWorks to the UToledo campus on October 24, 2023, for a free seminar on AI and Deep Learning models. As the creators of data analysis and simulation softwares MATLAB and Simulink, MathWorks will be presenting on the applications of using MATLAB in the rapidly expanding field of AI. This event aims to provide an opportunity for UToledo students to gain exposure to current AI applications in the industry and network with industrial experts. The event is open to all students, faculty and campus community.

Attendees will observe the entire process of utilizing deep learning models, from data exploration to implementation, through applications of using MATLAB on data from MRI images. The seminar will also cover new tools and fundamental approaches for developing AI applications and advanced predictive models. 

Interested in attending? Seats are limited, so reserve your spot today. A free lunch will be provided. Please register using the link below:



Deep Learning With MATLAB

Tuesday, October 24, 2023, 11 – 1 PM, Carlson Library main floor (Rm CL1005)

Lunch to follow


1. Create Deep Learning models from scratch for 3D data.

2. Explore pre-trained models and use Transfer Learning.

3. Learn how to deploy codes to Embedded Targets.


Hoda Sharifi is an Education Application Engineer at MathWorks. She has been with MathWorks since 2020 and responsible for supporting academics’ research and teaching with MATLAB and Simulink. Prior to joining MathWorks, she worked at multiple health care institutions focusing on image processing for Biomedical Applications. Hoda holds a Ph.D. in Medical Physics and a M.Sc. in Biomedical Engineering.

Ahmed Mekky is an Education Customer Success Engineer at MathWorks. He has a B.Sc. in Mechanical Engineering, and an M.Sc. & a Ph.D. in Aerospace Engineering. Both his M.Sc. and Ph.D. were focused on the theory and application of Dynamic Systems and Control. His research involved the use of MATLAB and Simulink to acquire sensor measurement, identify plant models, design control systems, analyze system performance, perform high-fidelity simulations, and deploy designed algorithms on hardware. Prior to joining MathWorks, he was a tenure-track assistant professor at the ME department of Kettering University where he taught courses and performed research in the areas of Measurements and Dynamic Systems and Control.


11:00 AM  Welcoming Remarks
11:15 AM  Seminar Presentation
12:15 PM  Q&A with Closing Remarks
12:30 PM  Lunch & Networking