Experience

Feb 2022 - Present Postdoctoral Research Fellow at Griffith University

– Exploring innovative enhancements for Large Language Models (LLMs), Vision Transformers (ViTs), and Diffusion models.
– Developing a monitoring system incorporating advanced AI technologies such as Deep Neural Networks, Object Detection, Classification, and Tracking algorithms for animals in a
production aquatic tank system.
– Deploying Machine/Deep Learning and Computer Vision models on embedded/edge devices.
– Developing customized LLMs and Stable Diffusion models.
– Created a COVID-19 detection model using chest CT scans.
– Designed a novel Attention Network for Image Recognition and Object Detection.
– Engineered a lightweight Attention-based Lattice Network for Hyperspectral Image Classification.
– Innovated an attention-based Deep Network for Image Restoration.
– Developed a state-of-the-art Speech Enhancement model.

May 2021 - Feb 2022 Machine Learning-Software Engineer at Olitek Design Solutions Pty Ltd

– Designed and developed Machine Vision (2D/3D) and Machine/Deep Learning packages for the Blast Hole Sampling (BHS) robot using C++.
– Integrated vision control smoothly with SCADA Indusoft Web Studio (IWS).
– Improved and addressed issues in the Vision system of the Temperature Monitoring Unit (TMU) robot using C++.
– Developed and presented technical solutions and proposals for new product development.

Oct 2013 - Sept 2017 Software Engineer-Data Scientist Manager at Pishgaman Kavir Asia Company

– Developed an intelligent VoIP and Internet traffic data monitoring and analysis system using C#.
– Utilized data visualization tools such as Power BI, along with anomaly and pattern recognition techniques.
– Designed and implemented necessary SQL databases.

Sept 2012 - Sept 2012 Research Fellow at K.N.Toosi University of Technology

– Developed a visual search engine funded by Information and Communication Technology (ICT) organization in Iran.
– Image Processing techniques and GA, KNN, and Neural Networks algorithms were utilized.

May 2008 - March 2009 AI Engineer (Contractor) at National Traffic and Driving Organization

Developed and implemented a Genetic Algorithm (GA)-based algorithm for optimizing the traffic network’s parameters.
– Conducted extensive testing and validation of the GA algorithm to ensure robustness and efficiency.
– Collaborated with stakeholders to define requirements and refine algorithm objectives.
– Documented the algorithm design, implementation steps, and outcomes for future reference.
– Presented findings and recommendations to management and technical teams.
– Contributed to the enhancement of existing traffic management systems through innovative algorithmic solutions.

Aug 2006 - June 2012 Software Engineer-Data Scientist at Pishgaman KaiPod Company

Developed an Intelligent License Plate Recognition system using C++ and C#.
Implemented Image Processing and Machine Vision techniques, incorporating Machine Learning algorithms such as K-Nearest Neighbors (KNN) and Neural Networks.
– Created an automatic car speed detection system tailored for national traffic and driving organizations.
– Designed and implemented necessary SQL databases to store and manage system data effectively.
– Conducted thorough testing and validation of both systems to ensure accuracy and reliability.
– Collaborated with stakeholders to refine system requirements and optimize performance.
– Documented system architectures, algorithms, and implementation details for future maintenance and scalability.