Professor Raahemi received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada, in 1997. Prior to joining the Telfer School of Management as an Associate Professor in Management Information Systems and Technology, Dr. Raahemi held several research positions in the telecommunications industry, including Nortel and Alcatel, focusing on computer networks architectures and services, dynamics of internet traffic, systems modelling, and performance analysis.
Professor Raahemi's work has appeared in peer-reviewed journals and conferences papers. He also holds several patents in data communications. His current research interests include data mining and knowledge discovery, information systems, business intelligence, data communications networks and services, service oriented architecture, systems modelling, and performance analysis. Dr. Raahemi established the Knowledge Discovery and Data mining (KDD) Research Laboratory compromising graduate students and researchers from multidisciplinary areas of E-Business Technology, Systems Science, and Engineering. The research projects in the KDD lab focus on two main streams: (a) novel techniques of data mining and machine learning with their emerging applications in business, healthcare, and engineering; and (b) Information systems, data communications, and service oriented organizations.
Professor Raahemi is a registered member of Professional Engineers of Ontario (PEO), a senior member of the Institute of Electrical and Electronics Engineering (IEEE), and a member of the Association for Computing Machinery (ACM). He is also a member of Ottawa-Carleton Institute for Electrical and Computer Engineering (OCIECE), and Ottawa-Carleton Institute for Computer Science (OCICS).
|2018-2020||Royal Embassy of Saudi Arabia Cultural Bureau (New Sponsor)||A Framework for Multilayer Hybrid Web Services Discovery and Recommendations Using Data Mining Techniques||R||O||PI||$ 5,816|
|2017-2021||NSERC||Outlier Detection in High-Dimensional Big Data using Bio-Inspired Methods for Emerging Applications in Engineering, Healthcare, and Business (PI)||R||C||PI||$ 120,000|
|2016-2019||MITACS and ICES||Mining of population-based routinely collected health data to determine risk factors associated with pediatric morbidity in Ontario.||R||O||PI||$ 90,000|
|2015-2016||Ontario Ministry of Energy, and NSERC||SecCharge: Secure Electric Vehicle Ecosystem for Smart Grid||C||C||Co-I||$ 3,090,800|
|2015||NSERC Engage||Capturing and Analyzing Data from SensorSuite's Devices using Big Data Analytics Techniques||R||C||PI||$ 25,000|
|2014||MITACS Cluster and IBM||An Integrated Approach using Process Models and Business Analytics for Efficient Delivery of Patient Care||R||O||Co-I||$ 120,000|
|2014||NSERC Engage||Capturing and analyzing data from Giatec's testing devices using web applications||R||C||PI||$ 23,250|
|2012-2017||NSERC||Feature Engineering using Bio-Inspired Methods for the Internet Data Analytics||R||C||PI||$ 105,000|
|2011-2012||MITACS and IBM||Design and Implementation of a Framework for Performance Management in Service Oriented Virtual Organization||R||O||PI||$ 30,000|
|2007-2011||NSERC||Stream Data Mining in Telecommunication Industry with Privacy Preserving Consideration||R||C||PI||$ 45,000|
|2007-2011||CFI / ORF||Knowledge Discovery and Data Mining Laboratory at the School of Management||R||C||PI||$ 39,102|
*Purpose = C: Contract (R and D), E: Equipment Grant, R: Research Grant, S: Support Award, P: Pedagogical Grant, O: Other, U: Unknown
**Type= C: Granting Councils, G: Government, F: Foundations, I: UO Internal Funding, O: Other, U: Unknown
Role: PI = Principal Investigator, Co-I = Co-Investigator, Co-PI = Co-Principal Investigator