Helia Karisani

Hello :) I'm Helia Karisani and I'm a Ph.D. student at the University of Massachusetts Amherst since Spring 2023. I obtained my BSc in Electrical Engineering and MSc in Computer Engineering both from Sharif University of Technology. I'm fortunate to be advised by Mohammad Hajiesmaili and Cameron Musco. My work delves into the intersection of Theoretical Computer Science, Online Optimization, Online Resource Allocation, Knapsack problem and Learning. I explore novel approaches to enhance online decision-making processes.


Experience

Research Assistant

University of Massachusetts Amherst, Massachusetts, USA
Feb 2023 - Present

Research Assistant

Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
July 2019 - March 2022

Teaching Assistant

Sharif University of Technology, Tehran, Iran

Randomized Algorithm, Theory of Automata and Languages, Design and Analysis of Algorithms, Discrete Structures, Logic Circuits Lab

October 2019 - January 2022

Intern

Imperial College London, London, UK
Summer 2018

Education

University of Massachusetts Amherst, Massachusetts, USA

Doctor of Philosophy, PhD
Computer Science
February 2023 - Present

Sharif University of Technology

Master's Degree
Computer Engineering
September 2020 - September 2022

Sharif University of Technology

Bachelor's Degree
Electrical Engineering
September 2014 - September 2020

Awards & Certifications

  • University of Massachusetts Amherst CICS Scholarship, February 2023.
  • Ranked first in Master's degree program, Tehran, Iran, September 2022.
  • 2 nd Place - MIT Battlecode AI competition for qualifying tournament and ranked 16 th in total, Boston, USA, Feb 2019.
  • 3 rd Place - Data Mining Competition held by Amir Kabir University, Tehran, Iran, November 2017.
  • 1 st Place - Presidential election prediction competition with AI, Tehran, Iran, May 2017.
  • 4 th Place - Artificial Intelligence Challenge, Sharif University, Tehran, Iran, March 2019.
  • 1 st Place - MAKEATHON start-up, Sharif University, Tehran, Iran, March 2017.