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Raahemi, Bijan

Raahemi, Bijan

Full Professor
Associate Director of Electronic Business Technologies
B.Sc. (Hon.) (Isfahan University of Technology), M.Sc. (Sharif University of Technology), Ph.D. (Waterloo)
Location
DMS 6143
Telephone
613-562-5800 x 4859
Email
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Website
View Website

Biography

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).

Research Areas
  • Data Communications Services; and Service Oriented Organizations
  • Data Mining, Machine Learning, and Big Data Analytics with Applications in Business, Healthcare, and Engineering
  • Information Systems

Publications during the last 7 years

Books

  • Akhond Zadeh Noughabi, E., Raahemi, B., Albadwi, M. and Far, B. Handbook of Research on Data Science for Effective Healthcare Practice and Administration. Pennsylvania, USA: IGI Global Publishers, 2017.

Chapters in Books

  • Tekieh, M., Raahemi, B. and Benchimol, E. Leveraging Applications of Data Mining in Healthcare using Big Data Analytics: An Overview. In Akhond Zadeh Noughabi, E.. Handbook of Research on Data Science for Effective Healthcare Practice and Administration. Pennsylvania, USA: IGI Global Publishers, 2017.
  • Nasiri, S. and Raahemi, B. Non-Parametric Statistical Analysis of Rare Events in Healthcare: Case of Histological Outcome of Kidney Transplantation. In Akhond Zadeh Noughabi, E.. Handbook of Research on Data Science for Effective Healthcare Practice and Administration. Pennsylvania, USA: IGI Global Publishers, 2017.
  • Asgharian, Z., Asgharian, H., Akbari, A. and Raahemi, B. Detecting Denial of Service Attacks on SIP Based Services and Proposing Solutions. In Kabiri, P.. Privacy, Intrusion Detection and Response: Technologies for Protecting Networks . Pennsylvania, USA: IGI Global Publishers, 2011.

Papers in Refereed Journals

  • Bigdeli, E., Mohammadi, M., Raahemi, B. and Matwin, S. 2018. Incremental anomaly detection using two-layer cluster-based structure. Information Sciences, 429(2018): 315–331.
  • Dutta, I., Dutta, S. and Raahemi, B. 2017. Detecting Financial Misstatements using Data Mining Techniques. Expert Systems with Applications, 90(C): 374-393.
  • Obidallah, W. and Raahemi, B. 2017. Managing Changes in Service Oriented Virtual Organizations: A Structural and Procedural Framework to Facilitate the Process of Change. Journal of Electronic Commerce in Organizations, 15(1): 59-83.
  • Shangying, X. and Raahemi, B. 2016. A Semantic-Based Service Discovery Framework for Collaborative Environments. International Journal of Simulation Modelling, 15(1): 83-96.
  • Mohammadi, M., Raahemi, B. and Akbari, A. 2015. A Geometric Density-based Sample Reduction Method. Intelligent Data Analysis: An International Journal, 19(6): 1233-1257.
  • Tekieh, M., Raahemi, B. and Izadshenas, S.A. 2015. Analyzing Healthcare Coverage using Data Mining Techniques. International Journal of Society Systems Science, 7(3): 198-221.
  • Asgharian, H., Akbari, A. and Raahemi, B. 2015. Feature Engineering for Detection of Denial of Service Attacks in Session Initiation Protocol. Journal of Security and Communication Networks, 8(8): 1587-1601.
  • Bigdeli, E., Mohammadi, M., Raahemi, B. and Matwin, S. 2015. A Fast and Noise Resilient Cluster-based Anomaly Detection. Journal of Pattern Analysis and Applications.
  • Mohammadi, M., Mehraban, S.A., Bigdeli, E., Raahemi, B. and Akbari, A. 2015. An enhanced noise resilient K-associated graph classifier. Expert Systems with Applications, 42(21): 8283-8289.
  • Mohammadi, M., Al-Azab, F., Raahemi, B., Richards, G.S., Jaworska, N., Smith, D.C., de la Salle, S., Blier, P. and Knott, V. 2015. Data Mining EEG Signals in Depression for their Diagnostic Value. BMC Medical Informatics and Decision Making, 15(1): 108.
  • Mohammadi, M., Akbari, A., Raahemi, B., Nasersharif, B. and Asgharian, H. 2014. A fast anomaly detection system using probabilistic artificial immune algorithm capable of learning new attacks. Evolutionary Intelligence, 6(3): 135-156.
  • Izadshenas, S.A., Raahemi, B., Tekieh, M.H. and Kuziemsky, C.E. 2014. Identifying High-cost Patients using Data Mining Techniques and a Small Set of Non-trivial Attributes. Computers in Biology and Medicine, 53(1): 9-18.
  • Roodaki, M., Raahemifar, K. and Raahemi, B. 2014. Analysis of Quality of Services in LTE and Mobile WiMax. Computers & Electrical Engineering, 40(5): 1508-1523.
  • Zhong, W., Raahemi, B. and Liu, J. 2013. Classifying Peer-to-Peer Applications Using Imbalanced Concept-Adapting Very Fast Decision Tree on IP Data Stream. Peer-to-Peer Networking and Applications, 6(3): 233-246.
  • Danesh, M.H., Raahemi, B., Kamali, S.M.A. and Richards, G.S. 2013. A Framework for Process and Performance Management in Service Oriented Virtual Organizations. International Journal of Computer Information Systems and Industrial Management, 5: 203-215.
  • Tavakoli, E., Tabandeh, M., Kaffash, S. and Raahemi, B. 2013. Multi-hop communications on wireless network-on-chip using optimized phased-array antennas. Computers & Electrical Engineering, 39(7): 2068-2085.
  • Mohammadi, M., Raahemi, B., Akbari, A. and Nassersharif, B. 2012. New Class-Dependent Feature Transformation for Intrusion Detection Systems. Journal of Security and Communication Networks, 5(12): 1296-1311.
  • Mohammadi, M., Raahemi, B., Akbari, A., Nassersharif, B. and Moinzadeh, H. 2012. Improving Linear Discriminate Analysis with Artificial Immune System-Based Evolutionary Algorithms. Journal of Information Science, 189: 219-232.
  • Liu, P., Raahemi, B. and Benyoucef, M. 2011. Knowledge Sharing in Dynamic Virtual Enterprises: A Socio-Technological Perspective. Knowledge-Based Systems Journal, 24(3): 427-443.
  • Mohammadi, M., Raahemi, B., Akbari, A., Moeinzadeh, H. and Nasersharif, B. 2011. Genetic Based Minimum Classification Error Mapping for Accurate Identifying Peer-to-Peer Applications in the Internet Traffic. Expert Systems with Applications, 38(6): 64l7-6423.

Other Scholarly Contributions

  • (Book review) Raahemi, B. 2011. "Business Driven Information Systems (McGraw-Hill Ryerson)".

Funded Research during the last 7 years

Funded Research during the last 7 years
From-To Source Title * ** Role Amount
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

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