Dr. Pari Haghighi

Assistant Professor

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Biography

Pari Haghighi is a Senior Lecturer at the Faculty of Information Technology, Monash University, where he obtained his PhD in Computing in 2010. He has received a competitive Early Career Development Fellowship (ECDF) from Monash University. With over 14 years of experience, he specializes in developing intelligent, context-aware mobile solutions to address real-world problems, particularly in healthcare. He works closely with medical professionals to design and develop innovative, personalized solutions for the real-time management and monitoring of chronic conditions and diseases. His notable research includes the introduction of an ontology for emergency management at mass gatherings (DO4MG), published in the Australian National Data Services library, which serves as a new framework for developing and evaluating ontologies. His research interests encompass Ubiquitous Computing, Context-Aware Computing, Mobile Health, Mobile Intelligent Decision Support Systems, and Mobile Social Sensing. Pari is also committed to teaching and has received accolades such as the 2020 Teaching Excellence Award for Outstanding Contribution to Student Learning. He serves as the Chief Examiner and Lecturer for multiple units in the Faculty of IT, including Mobile Distributed Computing Systems and User Interface Design and Usability.

Research Interests

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.