Academic Achievements and Awards

FiaidhiWebPage

Dr. Jinan Fiaidhi is a full professor and professional engineer with Lakehead University since 2002. She is also an adjunct professor at University of Western Ontario and Macau University. Dr. Jinan Fiaidhi is world renowned author and keynote speaker in the field of Thick Data Analytics, Collaborative Learning and Machine Intelligence. Since her early PhD work on the discovery of learning indicators in students programs back in 1983, she established a distinguished line of research that build on her expertise in this direction with variety of landmarks like the Virtual Scenebeans for P2P collaboration, the Semantic MOOCS, Crowdsourcing Based Learning, IoT for Learning and Thick Data Analytics .

Proud to be a Graduate of Essex University, UK (1982-1983):

PgDEssex

Essex Department Link: https://www.essex.ac.uk/departments/computer-science-and-electronic-engi...

Proud to be a Graduate of Brunel University, UK (1983-1986):

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These are some highlights of Dr. Fiaidhi’s academic work and achievements:
- PgD in Computer Science (Essex University, 1983)
- PhD in Computer Science (Brunel University 1986)
- Assistant, Associate Professor, Grad Coordinator, Chairperson
(University of Technology 1986-1996)
- Asso. Professor (Philadelphia University, 1996-1997)
- Asso. Prof., then Professor (Applied Science University 1997-2000)
- Associate Professor (Sultan Qaboos University, 2000-2001)
- Professor, Lakehead University (2001-Present)
- CS MSc Grad Coordinator, Lakehead University (2009-2018)

- Biotechnology PhD Program Coordinator (2018-2022)

- Visiting Professor, Macau University (Winter 2008)
- Visiting Professor, Sultan Qaboos University (Summer 2015)
- Adjunct Professor, University of Western Ontario (2005-2018)
- TAC PhD Supervisory Committee, Macau University (2016-Now)
- Professional Engineer of Ontario (2009-Present)
- IEEE Senior Member (2013-Present)
- Chair of Big Data for e-Health with IEEE ComSoc eHealth TC
- Department Chair of Extreme Automation with IEEE IT Pro (2015-
2019)
- Published 4 Books and More than 160 Refereed Articles
- Research areas (Thick Data, Collaborative Learning, Machine Learning, Calm Computing, Big Data and Mobile Learning)