Ahmed Hisham

Machine-Learning/Deeplearning Engineer Working as head of unit in the Artificial Intelligence technology Center in MUST with (3 years +) experience in the field of Machinelearning, Worked as an Instructor for Computer-vision in ArabCBT(SkillD),ex-instructor for Applied deep learning in ITI Mahara Tech. Working in the Field of Artificial intelligence , Deep-learning for Computer Vision , Forecasting time series , and Natural language Processing . looking forward to utilize skills and
experience into improve models that can improve real business scenarios in addition to transform researches into useful solutions

Deep Learning Specialization

• knee state classification

This project is made from collecting knee digital xrays dateset to classify the state of the knee whether its normal state knee , doubtful state knee , mild state knee ,moderate state knee and severe state knee , where its main goal is to help radiologists in determining knee state from xrays as a recommendation assistant

• MUST Fresh Smart vending Machine using AI technologies

smart vending machine contains three AI modules , Recommendation system for recommending products based on user experience category , Prediction through time series for predicting the shortage of the products to prevent this event , Face emotion recognition for predicting user experience

• brain tumor segmentation

Brain Tumor Segmentation using UNET with high Dice score beating the latest benchmarks in the field of MRIs CAD

• deeplearning methodology for detecting lung diseases in CT scans

this project was built up to detect 10 classes of lung diseases such as Pneomonia , air bronchogram , lobulation , speculation ...etc using pyramid featured network methodology built on the concepts of object detection

• wa3y ( covid-19 AI platform)

a project won by Academy of science research and technology in Egypt to predict , diagnose and awareness of covid-19 using AI for prediction it uses LSTMs to predict the covid19 cases , for awareness its built using NLP for giving precautions and for diagnosis it uses CNNs to give an initial warning about the suspecting of covid19

• medical imaging filter

medical imaging application , intended to build a simple medical imaging processing application using monai framework to apply guassian ,sobel and median operators on MRI 3D slices

• skin lesion segmentation

Medical image segmentation study made to compare between baseline UNETs Architectures ( UNETvsResUNET) to measure the segmentation performance upon skin lesion dataset

• text classification based on NLP transfer learning

this project is intended to give very strong hands on using NLP various modern contextual architectures to classify the Quora dataset of whether the text is set to positive or negative

• Covid-19 CT detection and Segmentation

Using Detection and Segmentation schemes to detect infected Areas from CT-lung slices with possible covid-19 Experimented and Deployed on Egyptian patients in Souad Kaffafi's hospital Egypt

• A machine Learning system for awareness diasgnosing and predicting covid19

Bookchapter that describes building a machine learning system submitted to Academy of science research and technology in Egypt that helps in awareness of Covid-19’s through a conversational agent , diagnosis of Covid19 patients as an initial sign through patient’s xrays and prediction of the curve of the newly cases over long time interval about 1 month ahead

link : https://link.springer.com/book/10.1007/978-3-030-77302-1

• deep learning solution framework for awareness, diagnosing and predicting covid-19 springer

a deep learning framework for diagnosing covid19 using xrays under the umbrella of CNN , prediction of the number of cases using LSTMs inherited from weather forecasting model , which applies the concept of time series forecasting , and NLP model chatbot for giving awareness upon the precautions of covid19 , this framework proposal won the ASRT funding in 2020

link : https://link.springer.com/chapter/10.1007/978-3-030-69717-4_5

• knee state classification

This project is made from collecting knee digital xrays dateset to classify the state of the knee whether its normal state knee , doubtful state knee , mild state knee ,moderate state knee and severe state knee , where its main goal is to help radiologists in determining knee state from xrays as a recommendation assistant

• MUST Fresh Smart vending Machine using AI technologies

smart vending machine contains three AI modules , Recommendation system for recommending products based on user experience category , Prediction through time series for predicting the shortage of the products to prevent this event , Face emotion recognition for predicting user experience

• brain tumor segmentation

Brain Tumor Segmentation using UNET with high Dice score beating the latest benchmarks in the field of MRIs CAD

• deeplearning methodology for detecting lung diseases in CT scans

this project was built up to detect 10 classes of lung diseases such as Pneomonia , air bronchogram , lobulation , speculation ...etc using pyramid featured network methodology built on the concepts of object detection

• wa3y ( covid-19 AI platform)

a project won by Academy of science research and technology in Egypt to predict , diagnose and awareness of covid-19 using AI for prediction it uses LSTMs to predict the covid19 cases , for awareness its built using NLP for giving precautions and for diagnosis it uses CNNs to give an initial warning about the suspecting of covid19

• medical imaging filter

medical imaging application , intended to build a simple medical imaging processing application using monai framework to apply guassian ,sobel and median operators on MRI 3D slices

• skin lesion segmentation

Medical image segmentation study made to compare between baseline UNETs Architectures ( UNETvsResUNET) to measure the segmentation performance upon skin lesion dataset

• text classification based on NLP transfer learning

this project is intended to give very strong hands on using NLP various modern contextual architectures to classify the Quora dataset of whether the text is set to positive or negative

• Covid-19 CT detection and Segmentation

Using Detection and Segmentation schemes to detect infected Areas from CT-lung slices with possible covid-19 Experimented and Deployed on Egyptian patients in Souad Kaffafi's hospital Egypt

• A machine Learning system for awareness diasgnosing and predicting covid19

Bookchapter that describes building a machine learning system submitted to Academy of science research and technology in Egypt that helps in awareness of Covid-19’s through a conversational agent , diagnosis of Covid19 patients as an initial sign through patient’s xrays and prediction of the curve of the newly cases over long time interval about 1 month ahead

link : https://link.springer.com/book/10.1007/978-3-030-77302-1

• deep learning solution framework for awareness, diagnosing and predicting covid-19 springer

a deep learning framework for diagnosing covid19 using xrays under the umbrella of CNN , prediction of the number of cases using LSTMs inherited from weather forecasting model , which applies the concept of time series forecasting , and NLP model chatbot for giving awareness upon the precautions of covid19 , this framework proposal won the ASRT funding in 2020

link : https://link.springer.com/chapter/10.1007/978-3-030-69717-4_5