Dr. Amirhessam Tahmassebi
Affiliated Faculty
SPIE Involvement:
Author
Area of Expertise:
Data Mining , Machine Learning , Deep Learning , Medical Imaging , Genetic Programming , Scientific Computing
Profile Summary

I am an Affiliated Courtesy Faculty in the Department of Scientific Computing at Florida State University starting October 2018. I am leading Dr. Anke Meyer-Baese's Research Group. I am also the Founder and Co-Author of SlickML. SlickML is an Open-Source Machine Learning Library written in Python.

I've received my PhD in Computational Science from the Department of Scientific Computing at Florida State University. My PhD focus was on data mining and machine learning. I have so far published 50+ scientific papers in prestigious journals and conferences and 2 book chapters.

In addition to this, I am also interested in applying various algorithms such as Dynamical Graph Theory, Optimization, Genetic Programming, and Deep Learning in [Big] Data Mining projects which are related to different fields of science. All the details would be found in my Website.

With 10+ years of extensive hands-on and research experiences in the field of Data Science, Scientific Computing, Data Mining, Machine Learning, Predictive Modeling, Statistical Analysis and Data Visualization.

Proficient with Python, PySpark, SQL, Git, GitHub, SAS, R, C/C++, Fortran, Keras, TensorFlow, Parallel Programming (OpenMP, MPI, CUDA, & OpenACC), Machine Learning, and Deep Learning Algorithms.

Solid Mathematics and Statistics education background due to the 6+ years studying in the field of Physics with superior professionalism, strong attention to details, and exceptional abilities of managing time, tackling challenges and delivering beyond expectations.

Self-motivated, creative and collaborative with excellent written, verbal and interpersonal communication skills.

Links:
>> My Website: https://www.amirhessam.com
>> My Data Science Blog: https://amirhessam88.github.io
>> My GitHub: https://github.com/amirhessam88
>> My Machine Learning Library: https://github.com/slickml/slick-ml
>> My Google Scholar: https://schola
Publications (24)

Proceedings Article | 4 April 2022 Presentation + Paper
Proceedings Volume 12036, 1203615 (2022) https://doi.org/10.1117/12.2613255
KEYWORDS: Brain, Signal processing, Linear filtering, Dementia, Control systems, Filtering (signal processing), Bandpass filters, Alzheimer's disease, Fourier transforms, Electronic filtering

Proceedings Article | 12 April 2021 Presentation + Paper
Proceedings Volume 11731, 1173104 (2021) https://doi.org/10.1117/12.2588293
KEYWORDS: Data processing, Brain, Artificial intelligence, Neuroimaging, Image processing, Brain imaging, Diagnostics, Neurology, Medicine, Machine learning

Proceedings Article | 12 April 2021 Presentation + Paper
Proceedings Volume 11735, 117350N (2021) https://doi.org/10.1117/12.2588294
KEYWORDS: Pathogens, Transform theory

Proceedings Article | 15 February 2021 Presentation + Paper
Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andres Ortiz, Anke Meyer-Baese
Proceedings Volume 11600, 116000A (2021) https://doi.org/10.1117/12.2582200
KEYWORDS: Diffusion, Dementia, Brain, Alzheimer's disease

Proceedings Article | 21 May 2020 Paper
Proceedings Volume 11396, 1139605 (2020) https://doi.org/10.1117/12.2557813
KEYWORDS: Brain, Artificial intelligence, Medical imaging, Radiology, Machine learning, Tumors, Data processing, Cancer, Feature extraction, Data modeling

Showing 5 of 24 publications
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