Applying Artificial Intelligence and Machine Learning to Solve Societally Relevant Problems

Me and my research group are solving real-world societally relevant problems using techniques from AI, Machine Learning and Game Theory. Some example projects that we work on are as follows:

  1. Harnessing AI and Social Networks to Prevent Spread of HIV among Homeless Youth
  2. Machine Learning and Optimization to Mitigate Drug Abuse among Homeless Youth
  3. AI for Suicide Prevention among College Students
  4. AI Based Intelligent Tutoring Systems for Children with Autism
  5. AI Systems to Address Governance Related Grievances of Low-Literate Farmers

We are continuously looking to working on new research problems in AI that can benefit society. If you are interested in working on problems like these (and others), please contact the mentor Amulya Yadav (Assistant Professor at the College of Information Sciences and Technology University Park) at This is an opportunity to get hands-on experience of being a part of a real research project in AI, and to experience the process of publishing a paper at a top-tier AI venue (the contributing student will be a co-author on any publications that will emanate out of this work).

University Park
Description of Responsibilities: 

The student will be asked to attend research meetings weekly to update the mentor of their progress. During these meetings, the student and mentor will work together towards new research ideas, which the student will then implement in his preferred programming language. If the generated results look positive, the student will be encouraged to get involved in the paper writing process as well.

Number of Opportunities: 
Minimum Qualifications: 

Students need to be comfortable with programming in atleast one out of these languages: Python, C/C++, Java, R.

Posting Date: 
Wednesday, October 2, 2019 to Friday, October 2, 2020
Position Type: 
Volunteer, Work Study, Academic Credit
Opportunity Timeframe: 
Fall, Spring, Summer, Academic Year
Application Procedure: 

Interested students should send an email along with their most recent CV to at the earliest.

Requested Materials: 

Please send your CV along with the email.