Nasheen Nur

Florida Institue of Technology · Department of Computer and Engineering Sciences

During the COVID-19 pandemic, remote learning (RL) transformed the educational landscape for hands-on Computer Science courses. This paradigm shift accelerated the transition from traditional in-person programming labs to decentralized student-provided resources. Even as students returned to in-person learning, many continued to rely on their perso...

In a wide range of industries and academic fields, artificial intelligence is becoming increasingly prevalent. AI models are taking on more crucial decision-making tasks as they grow in popularity and performance. Although AI models, particularly machine learning models, are successful in research, they have numerous limitations and drawbacks in pr...

The basis for the existence of a system is its requirements, which guide the entire process of systems development. The requirements are written in the natural language, which aids the process of generating the specification and, eventually, the system’s design. Interpreting a specification or the system description from the natural language induce...

This paper presents an interactive AI system to enable academic advisors and program leadership to understand the patterns of behavior related to student success and risk using data collected from institutional databases. We have worked closely with advisors in our development of an innovative temporal model of student data, unsupervised k-means al...

This paper presents an interactive AI system to enable academic advisors and program leadership to understand the patterns of behavior related to student success and risk using data collected from institutional databases. We have worked closely with advisors in our development of an innovative temporal model of student data, unsupervised k-means al...

The arrival of smart grid technologies has enabled the implementation of advanced grid control applications aimed at improving overall grid reliability and operational efficiency. The new controls are supported by advanced digital devices and communication networks that often possess inherent vulnerabilities, exposing the grid infrastructure to thr...

We present a prediction model to detect delayed graduation cases based on student network analysis. In the U.S. only 60% of undergraduate students finish their bachelors’ degrees in 6 years [1]. We present many features based on student networks and activity records. To our knowledge, our feature design, which includes conventional academic perform...

Discovery of communities in complex networks is a topic of considerable recent interest within the complex systems community. Due to the dynamic and rapidly evolving nature of large-scale networks, like online social networks, the notion of stronger local and global interactions among the nodes in communities has become harder to capture. In this p...