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).
|2020-2022||OCE and Ciena||Smart Factory||R||O||PI||$ 150,000|
|2018-2019||MITACS & Bell Canada||Network Traffic Classification for Cyber Threat and Malware Detection||U||C||PI||$ 50,000|
|2017-2021||NSERC - Discovery Grants Program||Outlier Detection in High-Dimensional Big Data using Bio-Inspired Methods for Emerging Applications in Engineering, Healthcare, and Business||R||C||PI||$ 120,000|
|2017-2018||OCE, NSERC, NRC||Estimating Bus Passengers' Origin Destination Travel Route using Data Analytics on Wi-Fi and Bluetooth Signals||R||U||PI||$ 65,000|
|2017-2018||MITACS & Bell Canada||Network Traffic Classification for Cyber Threat and Malware Detection||R||C||PI||$ 50,000|
|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|
|2012-2017||NSERC - Discovery Grants Program||Feature Engineering using Bio-Inspired Methods for the Internet Data Analytics||R||C||PI||$ 105,000|
C: Contract (R and D) | E: Equipment Grant | R: Research Grant | S: Support Award | P: Pedagogical Grant | O: Other, U: Unknown
C: Granting Councils | G: Government | F: Foundations | I: UO Internal Funding | O: Other | U: Unknown
PI = Principal Investigator | Co-I = Co-Investigator | Co-PI = Co-Principal Investigator