Detection of Sitting and Working Posture in the Workplace and Industry using Computer Vision and YOLO.

IPM• 2023 - present

Diagnosing Human Body Abnormalities using Image Processing and Artificial Intelligence Algorithms

ViraSetAI• 2022

Signature Similarity Measurement using Deep Few-shot Learning.

Central Bank• 2021

2D Teeth Images Semantic Segmentation using Medical U-NET and Instance Segmentation using Detectron2 Mask RCNN for Smile design using Generative Adversarial Networks (GANs)

ISAA Project• 2021

Tumor segmentation in Brain MRI Images based on DeepMedic on the BraTS dataset and developing a dual-platform Windows/Ubuntu software service for it [Project Link]

MarcoPacs Project• 2021

Mapping 3D CBCT Images to 2D Panoramic OPG Dental Images using Image Processing Algorithms

A Clinical Project• 2020

Diagnosis of Pulmonary Diseases with Image Processing and Deep Learning

Massih Daneshvari hospital• 2019

Human Complex Activity Recognition in Video Images using Deep Neural Networks

MS. Thesis• 2018

Artificial Intelligence as a way of Overcoming Visual Disorders: Damages Related to Visual Cortex, Optic Nerves and Eyes [Link]

16th International Conference on Distributed Computing and Artificial Intelligence (DCAI), Ávila (Spain)• June 2019

Blindness is a disability in which the person got interference with the visual system. In this paper, we studied 18 different diseases. Then categorize the different types of damages to the visual system into three categories which are the brain damages, damages to the eyes and the damages occur to the sensory neurons carrying data. Then suggest possible engineering solutions for each one. Using deep neural networks in order to do the almost same process as the brain does, the developed devices that can be replaced by the vision of the eyes, and also making artificial new connections to cover the attenuation of the sensory neurons carrying data from the eyes to the brain. We are looking forward to overcoming this disability using artificial intelligence apart from medical care. However, we are not denying the importance of medical science but suggesting that new engineering technologies can push up the limits and open new doors to the dead ends. In order to make this dream come true, we need to do lots of studies and will face many more challenges. Some of them are listed in this paper.