Lamia Alam

Affiliation

Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USA

Topic

Attentional State,Driver State,Eye Center,Eye Region,Face Detection,Gaze Direction,Road Traffic Accidents,Video Sequences,Visual Distraction,Attention Monitoring,Bottom Graph,Chip Surface,Cycle Consistency Loss,Data Augmentation,Data Imbalance Problem,Detection Accuracy,Detection Model,Detection Module,Detection Performance,Distraction Detection,Distractor Type,Drunk Driving,Eye Conditions,Eye Contact,Eye Gaze Direction,Eye Movements,Facial Features,False Negative Rate,False Positive Rate,Feature Maps,Feed-forward Network,Frontal Direction,Fréchet Inception Distance,Generative Adversarial Networks,Global Status Report,Green Solid Line,Half Years,Head Movements,Head Orientation,Head Pose,Head Region,Head Rotation,High-resolution Camera,Image Generation,Image X,Inception Distance,Invasive Methods,Landmark Detection,Level Of Attention,Number Of Images,

Biography

Lamia Alam (Member, IEEE) received the B.Sc. and M.Sc. degree in computer science and engineering from the Chittagong University of Engineering and Technology (CUET), Bangladesh, in 2014 and 2018, respectively. She is currently working as an Assistant Professor with the Department of Computer Science and Engineering (CSE), CUET. Her research interests include human–computer interaction (HCI), computer vision (CV), and machine learning (ML). She is an Associate Member of the Institution of Engineers, Bangladesh (IEB).