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  • BS in Computer Science, National University of Computer and Emerging Sciences – Pakistan

About Me

  • Hometown: Lahore, Pakistan
  • Field of Study: Personal Health Informatics
  • PhD Advisor: Rupal Patel


Mansoor Pervaiz is a PhD student in the Personal Health Informatics program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Rupal Patel.  A native of Lahore, Pakistan, Mansoor received his Bachelor of Science degree in Computer Science from the National University of Computer and Emerging Sciences in Pakistan. Mansoor was responsible for co-founding Pakistan’s first and largest mobile social network, While in Pakistan, Mansoor also developed a telephone-based social platform to provide health literacy in populations with a low literacy rate, and developed epidemic outbreak prediction systems for the flu in the United States, and dengue fever in Pakistan.

Now continuing his education at Northeastern, Mansoor’s research includes artificial intelligence, human-centered computing, machine learning, and personal health informatics. He would like to develop assistive technology that would allow individuals with neuro-motor disorders such as Parkinson’s disease to increase their communication abilities.

What are the specifics of your graduate education (thus far)?

I am a PhD student in the Personal Health Informatics program.

What are your research interests?

I am interested in developing mhealth (mobile health) technologies to increase communication abilities for individuals with motor neuron disorders such as Parkinson’s disease, multiple sclerosis and cerebral palsy.

What’s one problem you’d like to solve with your research/work?

Improve rate and naturalness of communicative interactions (using assistive technology) by relying on deeper knowledge provided by user and context-specific personalization.

What aspect of what you do is most interesting?

The fact that mhealth (mobile health) interventions can adapt to an individual’s specific needs, and gather valuable out-of-clinic data for clinicians to improve quality of care.

What are your research or career goals, going forward?

Further research in assistive technologies that utilize artificial intelligence.