Ayesha S. Dina

Ayesha S. Dina

Assistant Professor at Florida Polytechnic University

About Me

I am Ayesha S. Dina, an Assistant Professor at the Department of Computer Science in Florida Polytechnic University. I completed my Ph.D. and M.Sc degrees in Computer Science at the University of Kentucky. Initially, I worked as a research assistant in a bioinformatics lab analyzing plant genes. In order to pursue my Ph.D., I joined Distributed and Mobile Computing Systems Research Group that focuses on computer networks security. My research interests encompass a diverse array of subjects, notably Computer Networks Security, Machine Learning, Internet of Things (IoT), Cloud Computing, and Bioinformatics. Beyond my academic pursuits, my origins trace back to Bangladesh. On a personal note, I derive immense joy from embarking on road trips alongside my daughter. In addition to my field of study, I am interested in exploring other research areas as well.

News

  • Our article accepted in 39th Applied Computer Security Applications Conference (ACSAC2023) on October, 2023, “FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks”.
  • Successfully defended my dissertation. My dissertation titled “Deep Learning-Based Intrusion Detection Methods for Computer Networks and Privacy-Preserving Authentication Method for Vehicular Ad Hoc Networks”
  • Our article accepted in International Wireless Communications & Mobile Computing Conference (IWCMC 2023) on March, 2023, “Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs”.
  • Our poster based on “A deep learning approach for intrusion detection in Internet of Things using focal loss function”, is the winner of the poster contest at WiCyS2023.
  • Our article accepted in Internet of Things Journal on January, 2023, “A deep learning approach for intrusion detection in Internet of Things using focal loss function”.
  • Our article accepted in IEEE Access on september, 2022, “Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks”.
  • Attended Grace Hopper Celebration 2022.