Effat University Research Newsletter

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RESEARCH NEWSLETTER SEPTEMBER - OCTOBER 2018

NEWSLETTER OVERVIEW

RISE IN RESEARCH OUTPUT: 2013-2018

MAIN HIGHLIGHTS................................ 1 RESEARCH HIGHLIGHTS.....................2 EFFAT RESEARCH LABS......................5 POSITIVE PSYCHOLOGY & WELLBEING RESEARCH LAB ENVIRONMENTAL DESIGN OF BUILDINGS LAB STUDENT RESEARCH...........................7 UPCOMING EVENTS...........................10 Effat University has been witnessing a steady, definite climb in its research output owing to the contribution of our committed faculty who are exerting strenuous efforts year-round to drive scholastic change. We have also witnessed an increase in student participation in research-based activities. The total research output in 2017-2018 has been the highest compared to any previous years.

HIGHEST CITED RESEARCHER Dr. Abdulhamit Subasi is from the Information Systems department of Effat University's College of Engineering and is specialized in Machine Learning, Data mining and Biomedical Signal Processing. Concerning the application of machine learning to different fields, he has written one book, five book chapters and over 140 published journal and conference papers. He has been awarded the Queen Effat Award for Excellence in Research, May 2018. Between 2017-2018, his research papers have been co-authored with 38 students (involved in 17 research papers), 3 researchers from the CS department, 4 researches from IS department and 2 researchers from the ECE department. Till date, his research papers have been cited 4746 times.

IN THE SPOTLIGHT

NextGAR Website is UP and running! Our university-based startup company NextGAR, which Dr. Hayssam Dahrouj from BSSL launched in collaboration with DR. Bernard Ghanem from KAUST, has its website up and running. More info can be found at: http://www.nextgartech.com/

NextGAR is a medication recognition system. aiming to enable a diverse augmented reality (AR) applications; which serve to enrich elderly, sensory impaired, & sick people’s lives and provide more insight in making decisions. In turn, this helps users learn about the type of medications within their vision sight and, at the same time, receive healthcare related instructions, i.e., drugs dosage, drugs side effects, drugs due- time, etc.

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