Mission and Objectives
The ISCAAS lab undertakes cutting edge research projects related to embedded and cyber-physical systems, secure and trustworthy systems, intelligent systems, parallel computing, edge computing, quantum computing, artificial intelligence (AI), and computer vision. The research projects in the ISCAAS lab target practical applications. The ISCAAS mission is to produce excellent researchers and successful professionals for both academia and industry. The projects in ISCAAS lab have been sponsored by various funding agencies including the National Science Foundation (NSF), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory (AFRL), National Aeronautics and Space Administration (NASA), U.S. Department of Agriculture (USDA)/National Institute of Food and Agriculture (NIFA), and Semiconductor Research Corporation (SRC).
Projects
A Multimodal Attention-Based Deep Learning Framework for Real-Time Activity Recognition at the Edge
FogAg: A Novel Fog-Assisted Smart Agriculture Framework for Multi-Layer Sensing and Real-Time Analytics of Water-Nitrogen Colimitations in Field Crops
Artificial Intelligence-Assisted Spacecraft Trajectory Optimization and Planning
Position Openings
The ISCAAS lab has one Ph.D. research position opening for Fall 2024 in the area of quantum machine learning. Candidates who have done their Masters in Computer Science/Electrical Engineering/Computer Engineering (or are about to complete) with a thesis in relevant areas are especially encouraged to apply. Prospective students should have taken courses and/or should have done some projects related to quantum computing and/or quantum machine learning. Basic understanding of quantum computing, machine learning, and Qiskit programming is a must for this position. Candidates with prior research publications in the respective areas are highly encouraged to apply. Prospective candidates should send their CV and any other information such as published papers or completed projects that will strengthen their application to Dr. Arslan Munir (amunir@ksu.edu). Please only send the email if you have given TOEFL (and obtained a score of 22 or above in each section) or IELTs (and obtained a score of 7.0 or above in speaking section, and 6.5 or above in other sections) and have already given GRE or are planning to give GRE. Due to the enormous number of applications I receive, I may not be able to respond to all the applicants and only the applicants who are selected for interview may receive a response.
Arslan Munir
Associate Professor
Department of Electrical Engineering and Computer Science
Florida Atlantic University
Office: 777 Glades Road, EE 522 Boca Raton, FL 33431-0991
Email: arslanm@fau.edu