Undergraduate Advising
Program Overview
Provides undergraduates with hands-on research opportunities under the guidance of faculty and Ph.D. mentors.
Concludes with poster presentations at the Aresty Undergraduate Research Symposium and the ISE Department’s Research Day.
Mentorship Responsibilities
Designing and delivering a structured sequence of lecture notes that begins with Python basics (data analysis and visualization), progresses to data preparation using benchmark datasets such as MNIST, and introduces classification methods.
Extending this foundation to optimization methods and their implementation in Python, covering Gradient Descent (GD), Stochastic Gradient Descent (SGD), and Federated Averaging (FedAvg). A representative lecture note on GD implementation is available here: Google Colab Lecture Note.
Guiding students in applying these methods to their research projects, while also mentoring them on technical writing and effective poster design.
Supporting advisees in preparing for and presenting their posters, and advising them on broader academic planning, career development, and next steps in research.
Advisees
Neil Davies (Aresty Research Assistant Program, Rutgers University, 2025 - Present)
B.S. Candidate in Industrial and Systems Engineering, Rutgers University
Project: Incorporating Personalized Local Constraints into Federated Learning
Neil completed the project and made a poster presentation at the "ISE Research Day'' on April 17, 2026.
Poster link: View
Karthik Gangireddy (Aresty Research Assistant Program, Rutgers University, 2024 - 2025)
B.S. Candidate in Computer Science, Rutgers University
Project: Incorporating Pre-Training Into Federated Learning Methods
Karthik completed the project and made a poster presentation at the "ISE Research Day'' on April 4, 2025.
Poster link: View
Brian Zhang (Aresty Research Assistant Program, Rutgers University, 2023 - 2024)
B.S. Candidate in Computer Science, Rutgers University
Project: Decentralized Methods for Bilevel Learning over Networks
Brian completed the project and made a poster presentation at the "ISE Research Day'' on April 5, 2024.
Poster link: View