Fady Alnajjar
Biographic Data
| ID | 5136245 |
|---|---|
| NAME | Fady Alnajjar |
| GIVEN NAMES | Fady |
| FAMILY NAME | Alnajjar |
| SIGNATURE | ALNAJJAR F |
| AFFILIATIONS | United Arab Emirates University |
| ORCID | 0000-0001-6102-3765 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Emotion and memory model for social robots
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an action based on users’ learning performance and social engagement. We applied this behavior selection mechanism to extend the emotion and memory model, which allows a robot to create a memory account of the user’s emotional events and adapt its behavior based on the developed memory. We evaluated the model in a vocabulary-learning task at a school dur…
The new norm
Personalized Robot Interventions for Autistic Children
Global and Temporal Covid-19 Risk Evaluation
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a t…
Measurement Method for Evaluating the Lockdown Policies during the Covid-19 Pandemic
Coronavirus Disease 2019 (COVID-19) has affected day to day life and slowed down the global economy. Most countries are enforcing strict quarantine to control the havoc of this highly contagious disease. Since the outbreak of COVID-19, many data analyses have been done to provide close support to decision-makers. We propose a method comprising data analytics and machine learning classification for evaluating the effectiveness of lockdown regulati…
Covid-19 Global Risk
Background and Objective : COVID-19 has engulfed the entire world, with many countries struggling to contain the pandemic. In order to understand how each country is impacted by the virus compared with what would have been expected prior to the pandemic and the mortality risk on a global scale, a multi-factor weighted spatial analysis is presented. Method : A number of key developmental indicators across three main categories of demographics, eco…
Can a robot invigilator prevent cheating
No prominent works on this page.
Global and Temporal Covid-19 Risk Evaluation
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a t…
Measurement Method for Evaluating the Lockdown Policies during the Covid-19 Pandemic
Coronavirus Disease 2019 (COVID-19) has affected day to day life and slowed down the global economy. Most countries are enforcing strict quarantine to control the havoc of this highly contagious disease. Since the outbreak of COVID-19, many data analyses have been done to provide close support to decision-makers. We propose a method comprising data analytics and machine learning classification for evaluating the effectiveness of lockdown regulati…
Covid-19 Global Risk
Background and Objective : COVID-19 has engulfed the entire world, with many countries struggling to contain the pandemic. In order to understand how each country is impacted by the virus compared with what would have been expected prior to the pandemic and the mortality risk on a global scale, a multi-factor weighted spatial analysis is presented. Method : A number of key developmental indicators across three main categories of demographics, eco…
Can a robot invigilator prevent cheating
The new norm
Personalized Robot Interventions for Autistic Children
Emotion and memory model for social robots
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an action based on users’ learning performance and social engagement. We applied this behavior selection mechanism to extend the emotion and memory model, which allows a robot to create a memory account of the user’s emotional events and adapt its behavior based on the developed memory. We evaluated the model in a vocabulary-learning task at a school dur…
Computer Science (6 works) · Artificial Intelligence (4 works) · COVID-19 epidemiological studies (4 works) · Medicine (4 works) · COVID-19 Pandemic Impacts (3 works) · Disease (3 works) · Human–computer interaction (3 works) · Mathematics (3 works) · Pandemic (3 works) · Political science (3 works)