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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Karthik Sankaranarayanan

Karthik Sankaranarayanan
PhD

Associate Professor

Operations Management

Faculty of Business and Information Technology

LinkedIn Research Gate

Contact information

Energy Systems and Nuclear Science Research Centre (ERC) - Room 2021
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1G 0C5

905.721.8668 ext. 5429

karthik.sankaranarayanan@ontariotechu.ca
Google Scholar

Research topics

  • Operations Management
  • Data Science for Decision-Making
  • Technology Management
  • Sustainable Development and Innovation
  • Application of AI/ML for Complex Adaptive Systems

Background

Dr. Karthik Sankaranarayanan joined Ontario Tech University in 2013 as a tenure-track Assistant Professor after visiting the New England Complex Systems Institute (NECSI) located in Cambridge, MA where he was a visiting post-doctoral fellow. Dr. Sankaranarayanan is an interdisciplinary researcher who aims to study and understand complex adaptive systems using a variety of methods including modeling & simulation, experimental methods, etc. Dr. Sankaranarayanan also uses machine-learning algorithms to analyze human decision-making in order to build better decision-aid models. His analytics skills have been applied to industry collaborations as well that includes Ontario Power Generation, Alithya Digital Technology Corporation, Canada, etc.

Education

  • PhD in Management (Operations Management) University of Lugano in Switzerland 2011
  • Master of Science in Embedded Systems Design (Minor: Management) University of Lugano, Switzerland 2006
  • Bachelor of Engineering in Electrical and Electronics Engineering University of Madras, India 2001
  • Certificate in University Teaching University of Ontario Institute of Technology March 2016

Research and Expertise

  • agent-based computational modelling
  • behavioural operations management
  • decision sciences
  • experimental methods
  • simulation of complex social systems
  • technology management
  • OPG – Ontario Power Generation (Darlington Refurbishment): Wrench Time Analysis (2017 – present
  • Alithya Digital Technology Corporation, Canada: Digitalization and Modernization of CANDU Plants. (2020 – present)
  • CSE Communications and Security Establishment of Canada: Can Artificial Neural Networks help infer complex relational data? – A Study (2016-2021)
  • Mariposa Dairy, Lindsay, Canada: Labor and Material Tracking Study. (2018)
  • Public Services Health & Safety Association (PSHSA), Toronto, Canada: Video games for Health and Safety training. (2015-2017)
  • Swiss National Science Foundation prospective researcher grant, 2012 (59,600 Swiss Francs)
  • Doctoral student fellowship, 2007-2011
  • MSc student fellowship, 2004-2006

Selected Publications

  • Journal Publications

    *Please check my Google Scholar for an up to date list

    •  R. Khurmi, K. Sankaranarayanan, and G. Harvel. (2021), “Condition Based Maintenance in Nuclear Power Plants: Limitations & Practicality”, Forthcoming in Proceedings of the 2021 IEEE Industrial Engineering and Engineering Management Conference, Singapore.
    • J. Moretz, K. Sankaranarayanan, and J. Percival. “Open Innovation in Services? A Conceptual Model of Barriers to Service Innovation Adoption. Journal of Innovation Management (In Press, Accepted – 17 Nov 2021)
    • B. Laughlin, K. Sankaranarayanan, and K. El-Khatib. (2020). A Service Architecture Using Machine Learning to Contextualize Anomaly Detection. Journal of Database Management (JDM), 31(1), 64-84. doi:10.4018/JDM.2020010104
    • B. Laughlin, C. Collins, K. Sankaranarayanan and K. El-Khatib. (2019) "A Visual Analytics Framework for Adversarial Text Generation," 2019 IEEE Symposium on Visualization for Cyber Security (VizSec), Vancouver, BC, Canada, 2019, pp. 1-10, doi: 10.1109/VizSec48167.2019.9161563.
    • L. Díez-Echavarría, K. Sankaranarayanan and S. Villa. (2018). Agent-based modeling and Humanitarian Operations. Decision-making in Humanitarian Operations – Strategy, Behavior and System Dynamics, eds: Sebastian Villa, Gloria Urrea, Jaime Andres Castañeda and Erik Larsen. Palgrave Mcmillan. DOI: https://doi.org/10.1007/978-3-319-91509-8_12
    • B. Laughlin, R. Laite, K. El-Khatib, and K. Sankaranarayanan. (2018). Guided Machine-Learning Framework for Anomaly Detection.” International Symposium on Big Data Management and Analytics (BIDMA 2018), Calgary, Canada.
    • K. Sankaranarayanan, J. A. Castañeda, and S. Villa. (2017). Future Research in Humanitarian Operations: A Behavioral Operations Perspective. Palgrave Handbook of Humanitarian Logistics and Supply Chain Management, eds: Gyöngyi Kovács, Karen Spens & Mohammad Moshtari, Hanken School of Economics, Finland. http://www.palgrave.com/us/book/9781137590985.
    • S. Basudan, X. Lin, and K. Sankaranarayanan. (2017). A Privacy-preserving Vehicular Crowdsensing based Road Surface Condition Monitoring System Using Fog Computing. IEEE Internet of Things Journal, vol. no.99, pp.1-1 doi: 10.1109/JIOT.2017.2666783.
    • K. Sankaranarayanan, R. Laite and N. Portman. (2017). Neural Network Analysis of Behavioral Agent Based Service Channel Data. In Proceedings of the 2017 IEEE Industrial Engineering and Engineering Management Conference, Singapore.
    • R. Laite, N. Portman, and K. Sankaranarayanan. (2016). Behavioral Analysis of Agent Based Service Channel Design Using Neural Networks. In Proceedings of the 2016 Winter Simulation Conference, 11-14 December 2016, Washington D.C.
    • K. Sankaranarayanan, C. A. Delgado, E.R. Larsen, and A. van Ackere. (2014). The Micro-Dynamics of Queuing: Understanding the formation of queues. Journal of Simulation, vol. 8, no. 4, pp. 304-313
    • K. Sankaranarayanan, C.A. Delgado, E.R. Larsen, and A. van Ackere (2014). The Micro-Dynamics of Queuing: Understanding the formation of queues, Journal of Simulation, vol. 8 no. 4, pp. 304-313.
    • J. Moretz, K. Sankaranarayanan, and J. Percival (2013). Reinventing The Wheel: Contextualizing Existing Innovations As A Path To Market Success, Technology Innovation Management Review, 3(10): 16-21.
    • K. Sankaranarayanan, C.A. Delgado, E.R. Larsen, and A. van Ackere (2012). Behavioural queuing: an agent based modeling approach, International Journal of Modeling and Optimization, vol. 2, no. 4, pp. 408-412.
    • Kavitha Sankaranarayanan, R.P. Ramachandran, R. Kumas, S. Muralitharen, U.S. Mansoor, M. Sriram Kumar, V. Mandan Kumar, S. Vignesh, V. Malini, K.M. Cherian, S. Madhivanan, Sankaranarayanan Karthik, Natarajan Arutselvan, Sundararajan Raji (2011). Effective electro-chem-therapy for proliferation control of adult human mesenchymal stem cells. Journal of Electrostatics, vol. 69, no. 4, pp. 267-274.
  • Book Chapter
    • C.A. Delgado, A. van Ackere, E.R. Larsen, and K. Sankaranarayanan (2011). Collective behavioural patterns in a multichannel service facilities system: a cellular automata approach, In Operation Research, Computing, and Homeland Defense, R.K. Wood and R.F. Dell, editors, INFORMS, Hanover, MD, pp. 16-27. ISBN: 978-0-9843378-1-1.
  • Peer-Reviewed Conference Papers
    • F. Filho, K. Sankaranarayanan, and P. Mirza-Babaei (2015). Video Games to the rescue: Can game design make software based lab experiments engaging? 7th IEEE Consumer Electronics Society Games, Entertainment, Media Conference (accepted).
    • K. Sankaranarayanan, C. A. Delgado, E.R. Larsen, and A. van. Ackere (2012). Study on queuing behavior in a multichannel service facility using experimental methods, In Proceedings of the 1st International conference on Operations Research and Enterprise Systems, ICORES 2012, Vilamura, Portugal, 142-149. Portugal: SciTePress, ISBN: 978-989-8425-97-3.
    • C.A. Delgado, A. van Ackere, E.R. Larsen, and K. Sankaranarayanan (2011). Modelling decisions under uncertainty in behavioural queuing system, In Proceedings of the 25th European Conference on Modelling and Simulation, Krakow, Poland, June 7 to 10, 34-40. ISBN: 978-0-9564944-2-9 / ISBN: 978-0-9564944-3-6 (CD).
    • K. Sankaranarayanan, E.R. Larsen, A. van Ackere, and C. A. Delgado (2012). Genetic Algorithm based Optimization of an Agent Based Queuing System, In Proceedings of the IEEE Industrial Engineering and Engineering Management Conference, IEEEXplore Digital Library, 1344-1348.
    • K. Sankaranarayanan, E.R. Larsen, and A. van Ackere (2009). Intelligent Agents Behavior in the Queuing Process: Integrating Cellular Automata & Genetic Algorithms, In Proceedings of the IEEE Industrial Engineering and Engineering Management Conference, IEEEXplore ® Digital Library, 2099-2103.
  • Presentations

    Refereed conference proceedings:

    • Sankaranarayanan K., Delgado-Alvarez C. A., Larsen E. R. and van Ackere A. (2012). Study on queuing behavior in a multichannel service facility using experimental methods. Proceedings of the 1st International Conference on Operations Research and Enterprise Systems (ICORES), Vilamoura, Algarve, Portugal.
    • Delgado-Alvarez C.A., Sankaranarayanan K. and van Ackere A. (2011). Modelling decisions under uncertainty in a behavioural queuing system. Proceedings of the 25th European Conference on Modelling and Simulation, ECMS 2011.
    • Delgado-Alvarez C.A., van Ackere A., Larsen E.R. and Sankaranarayanan K. (2011). Collective Behavioural Patterns in a Multichannel Service Facilities System: a Cellular Automata Approach. Proceedings of the 12th INFORMS Computing Society Conference, ICS 2011.
    • Sankaranarayanan K., Larsen E.R., van Ackere A. and Delgado C. (2010). Genetic Algorithm based Optimization of an Agent Based Queuing System. The IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2010, Macau, China.
    • K. Sankaranarayanan, Larsen E.R., van Ackere A. (2009). Intelligent agents behavior in the Queuing Process: Integrating Cellular Automata and Genetic Algorithms. The IEEE International Conference in Industrial Engineering and Engineering Management, IEEM 2009, Hong Kong.

    Presentations:

    • 1st International Conference on Operations Research and Enterprise Systems (ICORES) 2012, Vilamoura, Portugal, 2012.
    • IEEE 3rd International Conference on Computer Modelling and Simulation, 2011, Mumbai, India.
    • IEEE Conference on Industrial Engineering and Engineering Management, 2010, Macau, China.
    • Student Conference in Operational Research (SCOR) 2010, University of Nottingham, United Kingdom.
    • IEEE Conference on Industrial Engineering and Engineering Management, 2009, Hong Kong.
    • Management and Organization Research Seminar (MORSE), 2009, University of Lugano, Switzerland.
    • SCOR 2009, Lancaster University Management School, United Kingdom.
    • Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting 2008, Washington, D.C.

Honours and Awards

  • Visiting Scholar Award, University Of Pècs (Hungary), April-May 2015.
  • Swiss National Science Foundation Prospective Research Award for 2012.
  • Graduate (Doctoral) Research Award, University of Lugano, Switzerland, 2007-2011.
  • Graduate (Masters) Scholarship, University of Lugano, Switzerland, 2004 – 2006.
  • Public Services Health and Safety Association, Toronto, Canada, 2015 
  • UOIT STAR (Student Training Assistantship in Research) 2015 
  • Visiting Scholar- Accepted for this fully funded competitive program offered by the Faculty of Business and Economics, University of Pecs, Hungary, 2015 
  • Swiss National Science Foundation prospective researcher grant, 2012