A group of researchers from the faculties of engineering, science and health at Koya University have published a new invention.

A team of researchers conducted a cooperative study from both Faculty of engineering, Software engineering Department and Faculty of science and health, Chemistry Department about “A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms” and published in “arXiv” international journal. 

The team had the following members:

-Asst. prof Dr.Halgord Srhang Maghdid

-Asst. Lecturer Sherko Rahman Hamasalih

-Dr. Akar Hawre Tahir

-Lect. Hassan Muhammad Ali

-Asst. Prof. Dr Azhin Tahir Sabir

- Dr.Kosrat Nazhad Kaka

-Dr. Salam Ghafoor Tahir

- Lect. Lade Sardar Abdulrahman

- Asst. Prof. Dr Abdulbasit Kamil Fayaq

- Lect. Safar Maghdid Asaad

- Dr. Aras Tofiq Assad

Dr. Halgurd Sarhang Maghdid described their study to the Koya University Media directorate as follows:

“The study describes an innovative technique for distinguishing poisonous water from freshwater employing artificial intelligence algorithms and Wi-Fi technologies built into smartphones. The study gives users a workable approach at little expense (using only their smartphones), promptly (15 seconds), even without user involvement (only through the use of their smartphones can be near the glass of water Determine whether the water is poisonous or clean).”

The toxic dosages of Lead Nitrate [Pb(NO3)2] at 100 ppm and 1000 ppm, independently, were used in this study, which was carried out in the Chemistry Laboratory of Koya University.

-To see the study, please click the link below:

-To look at the data and the smart program, click the following link:

-Some images taken during the study: