I am Amir, who loves analysing big data and building smart products in the fields of Machine Learning, Computer Vision, Natural Language Processing (NLP), Graph, Data Science, and Robotics. I have collaborated as a researcher, computer vision, and NLP engineer with 5+ years of experience in academic and research environments. I have a great passion for high-tech solutions to address real-world problems with my background in NLP, Deep Learning, and Machine Learning. In recent years, I have focused on the field of natural language processing, knowledge graphs, and computer vision as an intermediate field because I believe that sooner or later, AI will inevitably impact all aspects of our lives, particularly how people communicate and share knowledge.
- Research assistant; Institute for Architectural Sciences, Technical University of Vienna, Austria
- Server Administrator; Computer Science Faculty, Data Mining and Machine Learning, University of Vienna, Austria
- Research assistant at the University of Applied Science FH Kufstein
- Information Technology Teacher at the Javan Rayaneh Institut
- Research Intern at the Afarinesh Institut
- Ph.D. Student at Design Computing Group, Technical University of Vienna, Austria
- Master of Science in Web Communication and Information System
- Master of Science in Software Engineering
- Bachelor of Science in Computer Science
- Knowledge Graphs - See credential
- Natural Language Processing Nanodegree - See credential
- Data Scientist Nanodegree - See credential
- Self-Driving Car Engineer - See credential
- Deep Learning with TensorFlow - See credential
- Container & Kubernetes Essentials with IBM Cloud - See credential
- Accelerating Deep Learning with GPU - See credential
- Natural Language Understanding, Stanford University
- Reinforcement Learning
- Ethical Hacking (CEH)
- Space function classification in apartment buildings using image deep learning semantic segmentation
- SAGC-A68: a space access graph dataset for the classification of spaces and space elements in apartment buildings
- Extracting topological features from room polygons based on a 2dimensional space partitioning approach
- Batch Layer Normalization, A new normalization layer for CNNs and RNN
- SFS-A68: a dataset for the segmentation of space functions in apartment buildings
- An Adaptive Deep Network for Building Footprint Segmentation
