Undergraduate Research – Data Analytics Faculty

Participating ISE Data Analytics faculty that currently accept undergraduate students in their research programs include:

Panos Pardalos profile picture

Panos Pardalos, Ph.D.

  1. What are your research interests?
    • Optimization, AI and Data Sciences, Brain Research, Energy, Networks
    • Visit my website
  2. What years do you accept?
    • Any year – as long as there is enthusiasm to learn!
  3. How many semesters do you expect?
    • At least two years
  4. When and how should I reach out to you?
  5. What kind of background experience are you looking for?
    • Any background
  6. What is the work environment like?
  7. What will my schedule look like?
    • Busy but we will plan your lab involvement around your class schedule
  8. What materials would you review in order to make a decision?
    • We will look at your CV
    • We will also schedule a Zoom or Skype interview

Mostafa Reisi Gahrooei profile picture

Mostafa Reisi Gahrooei, Ph.D.

  1. What are your research interests?
    • Data analytics and machine learning applied to a variety of applications including manufacturing, agriculture, and healthcare.
  2. What years do you accept?
    • 3rd and 4th year students who are planning to do graduate studies.
  3. How many semesters do you expect?
    • At least 2 semesters
  4. When and how should I reach out to you?
  5. What kind of background experience are you looking for?
    • Good understanding of calculus, probability and statistics, coding experience in either python or R.
  6. What is the work environment like?
    • Friendly and open to new ideas
  7. What will my schedule look like?
    • Flexible
  8. What materials would you review in order to make a decision?
    • We will look at your CV
    • Transcripts
    • One recommendation letter

Xiaochen Xian profile picture

Xiaochen Xian, Ph.D.

  1. What are your research interests?
    • Data science, machine learning, and statistical analysis with applications in manufacturing, healthcare, environmental monitoring, traffic, and cybersecurity
  2. What years do you accept?
    • Any year – as long as you are interested in data science!
  3. How many semesters do you expect?
    • At least 2 semesters
  4. When and how should I reach out to you?
  5. What kind of background experience are you looking for?
    • With coding experience and have taken at least one of the following courses: statistics, data analytics, machine learning, and quality control.
  6. What is the work environment like?
    • Friendly, collaborative, and open to creative ideas
  7. What will my schedule look like?
    • Flexible based on appointments.
  8. What materials would you review in order to make a decision?
    • We will look at your CV
    • Transcripts
    • A short interview