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Email
[email protected] -
Website
alinaderiparizi.ir -
Github
mralinp -
Twitter
@alinaderiparizi
Skill points
Computer visionProgramming languages
c/c++Experiences
Cyber-Design Nordic Inc. , Stockholm, Stockholm, Sweden — Software engineer
Jul 2024 - Present
Jul 2024 - Present
RSA , Tehran, Tehran, Iran — Technical Consultant
Sep 2024 - Present
Sep 2024 - Present
IDmelon Technologies Inc, Vancouver, BC, Canada — Software engineer
Mar 2022 - Jan 2024
Mar 2022 - Jan 2024
Dadeh Afzar Arman (DAA), Tehran, Tehran, Iran — Software engineer
Nov 2020 - Jan 2022
Nov 2020 - Jan 2022
System Inteligizer (Sico), Shiraz, Fars, Iran — Research and development Eng. (part-time)
Aug 2019 - Dec 2019
Aug 2019 - Dec 2019
System Inteligizer (Sico), Shiraz, Fars, Iran — Research and development Eng. (intern)
Jul 2018 - Sep 2018
Jul 2018 - Sep 2018
Education
Iran university of science and technology, Tehran, Tehran, Iran — Master of Artificial intelligence.
Sep 2020 - Present
Sep 2020 - Present
Shiraz university, Shiraz, Fars, Iran — Bachelor of Computer engineering
Sep 2015 - Sep 2020
Sep 2015 - Sep 2020
National Organization for Development of Exceptional Talents, Sirjan, Kerman, Iran— High School
Sep 2011 - Sep 2015
Sep 2011 - Sep 2015
Projects
Enhancing object detection runtime using Knowledge Distillation
Assuming Faster-RCNN as a basement, the performance is improved using knowledge distillation methods. A novel approach is invented to make it more accurate.
Assuming Faster-RCNN as a basement, the performance is improved using knowledge distillation methods. A novel approach is invented to make it more accurate.
Detecting Saffron flower cut points
Using RefineDet network as a base object detector, detecting cut point of Saffron Flower endpoint and calculating the angle to cut. This project had to be used in a robotic arm that helps farmers with their productions.
Using RefineDet network as a base object detector, detecting cut point of Saffron Flower endpoint and calculating the angle to cut. This project had to be used in a robotic arm that helps farmers with their productions.
Developing a Systom On Board (SOB)
Building a system on board with the capability of reading analog video signals and booting a Linux kernel. This board is capable of image processing purposes in IoT devices, such as CCTVs, home security systems, or automated farming systems.
Building a system on board with the capability of reading analog video signals and booting a Linux kernel. This board is capable of image processing purposes in IoT devices, such as CCTVs, home security systems, or automated farming systems.
GSM/GPRS module
Redesigning a GSM/GPRS module to be embedded inside a company product and adding some extra features such as DTMF detector and communicating data over the mobile network, the device has been used in a farming automation IOT device called ‘Sirab’.
Redesigning a GSM/GPRS module to be embedded inside a company product and adding some extra features such as DTMF detector and communicating data over the mobile network, the device has been used in a farming automation IOT device called ‘Sirab’.
Developing ‘pwclan.ir’ website(currently down)
fully programmed back-end and front-end, it was a gaming website.
fully programmed back-end and front-end, it was a gaming website.
Research and publications
Indoor positioning systems for Smartphones
Building An indoor navigation system based on smartphone embedded sensors with the approximate accuracy of one meter.
Building An indoor navigation system based on smartphone embedded sensors with the approximate accuracy of one meter.
Classification of breast tumors in 3D Automated Breast Ultrasound Images (3D-ABUS)
Classification of human breast cancer in 3D-ABUS by exploring various features,traditional models and Deep models. The study proved the boundary is the most important part of breast tumors which should be considered for classification.
Classification of human breast cancer in 3D-ABUS by exploring various features,traditional models and Deep models. The study proved the boundary is the most important part of breast tumors which should be considered for classification.
Deep anomaly detection for image processing: A survey
A survey of deep learning-based anomaly detection techniques used for detection of anomalies in images and videos.
A survey of deep learning-based anomaly detection techniques used for detection of anomalies in images and videos.