Zanyar Zohourianshahzadi, Ph.D.
*******@*****.***
PROFILE
U.S. Permanent Resident, Ph.D. Computer Science and Artificial Intelligence, Multi-Modal Learning, Vision-Language, Computer-Vision, NLP, Transformers Specialist, Deep Leaning and Beyond If you are looking for someone highlymotivatedandautonomousandhighlyskilledatindustryandacademia with hands-on experience with software engineering, deep learning, AI and ML you have found the right person. I have a broad range of skills and experience, including working in the industry and academia with the main focus on AI and Deep Leaning, specifically, multi-modal learning, such as image captioning or other vision-language tasks such as visual question answering. EXPERIENCE
Postdoc - Senior Professional Research Assistant - UCCS Aug 2022 - Present, CO, USA Graduate Teaching Assistant - UCCS Jan 2017 - May 2022, CO, USA Software Engineer C++ - Deltous LLC Jan 2010 - Jan 2015, Tehran, Iran Software Developer C - Hafez Co. Jan 2008 - Jan 2010, Tehran, Iran Network Administrator - Hafez Co. Jan 2006 - Jan 2008, Tehran, Iran English Language Tutor - Kish Language Institute Jan 2004 - Jan 2006, Tehran, Iran EDUCATION
University of Colorado at Colorado Springs
Ph.D. Computer Science & Artificial Intelligence
Dissertation Title: Improving Neural Attention for Image Captioning. Defense Date: July 7th, 2022
Degree achieved in August 2022
Colorado Technical University - Colorado Springs
Master of Science - Information Technology
Degree achieved in September 2016
AzadUniversity of Tehran – South Branch
Bachelor of Science - Computer Science & Information Systems Degree achieved in May 2012
SUMMARY OF SKILLS
General: Computer Vision, Natural Language Processing, Data Science, Reinforcement Learning, Vision- Language, Visual Question Answering, Image Captioning, Data Structures, Algorithms Design & Analysis, Object Oriented Programming.
Languages & Databases: Python, C++, C, Assembly, Java, Javascript, HTML, CSS, MS Office, Objective C++, Objective C, UML, MySQL, SQL, SQL Server, Pandas.
Tools & Frameworks: LATEX, Pytorch, Keras, Tensorflow, Torch, Pythia, Detectron, Tensor2Tensor, Fairseq, NumPy, Pandas, Docker, AWS, Azure, Oracle VM, VMware Fusion, Linux, Unix, Windows. PUBLICATIONS
Neural Attention for Image Captioning: Review of Outstanding Methods Published at Springer Nature Ar- tificial Intelligence Review Journal. doi:10.1007/s10462-021-10092-2 ZoDIAC: Zoneout Dropout Injection Attention Calculation: Improvement of self-attention in Transformer. Preprint version available at: https://arxiv.org/abs/2206.14263. Neural Twins Talk Presented at IEEE HCCAI 2020 and published in the conference proceedings at IEEE Xplore. doi:10.1109/HCCAI49649.2020.00009
Neural Twins Talk & Alternative Calculations Published at World Scientific Journal, International Journal of Semantic Computing. doi:10.1142/S1793351X21500045 AWARDS and Other Achievements
Graduate Research Fellowship Award
Member of Graduate Research Academy at UCCS. Received Research Fund and Travel Awards for Future Publications.
Reviewer for Springer Nature Journals
Have reviewed papers related to computer vision and image captioning. Best Paper in IEEE HCCAI 2020
Neural Twins Talk paper was selected as the best paper presented in IEEEHCCAI2020.