Ikechukwu P. Ohu

  • Professor
    Industrial Engineering
  • Director
    Industrial Engineering

Watch a Biography of Ikechukwu Ohu

Ikechukwu Ohu is an assistant professor of industrial engineering at Gannon University, Erie, PA. He works on projects relating to the (physical and cognitive) ergonomic support of grocery store workers and healthcare providers, robotics, and computer integrated manufacturing (CIM).

His research interests are focused on the improvement of productivity (a workplace outcome) and wellbeing (an individual outcome) in working environments involving the interaction of humans and machines, and the study of human behavior and movement in work and non-work environments. He is keenly interested in the psychology and dynamics of human-computer, human-robot, and human-cyberphysical systems interactions. He is also intrigued  by work-life interaction research and studies in augmented cognition.
  • Engineering Projects & Economy (IE 201)
  • Ergonomics (IE 410)
  • Operations Research 1 (IE 350)
  • Engineering Statistics (IE 320)
  • Robotics 1 (IE 475)
  • Design of Experiments (IE 325)
  • Work Design (IE 310)

 

  • Southern Illinois University, Carbondale, U.S.A., Engineering Science (Ph.D.), Analysis of ergonomics and highly non-linear dynamics of surgical motions and muscle activations in minimally invasive surgery, 2015
  • Southern Illinois University, Edwardsville,U.S.A., Industrial Engineering (M.S.),  2011
  • Ambrose Alli University, Ekpoma, Nigeria, Electrical & Electronic Engineering (B.Eng.), 2006
  • Fellow, Diversifying Higher Education Faculty in Illinois (DFI) - Merit-based scholarship for doctoral studies from the State of Illinois, 2013 - 2014
  • Senior Member, Institute of Industrial and Systems Engineers (IISE)
  • Member, Institute of Electrical and Electronics Engineers (IEEE) - EMB, CS, SA
  • Member, Institute for Operations Research and the Management Sciences (INFORMS)

 

Selected Journal Publications

  • Zihni, A. M., Cavallo, J. A., Ray, S., Ohu, I., Cho, S., & Awad, M. M. (2016). Ergonomic analysis of primary and assistant surgical roles. Journal of Surgical Research, 203(2), 301-305.
  • Ohu, I. P., Cho, S., Kim, D. H., & Lee, G. H. (2016). Ergonomic Analysis of Mobile Cart–Assisted Stocking Activities Using Electromyography. Human Factors and Ergonomics in Manufacturing & Service Industries, 26(1), 40-51.
  • Ohu, I., Cho, S., Zihni, A., Cavallo, J. A., & Awad, M. M. (2015). Analysis of surgical motions in minimally invasive surgery using complexity theory. International Journal of Biomedical Engineering and Technology, 17(1), 24-41.
  • Zihni, A. M., Ohu, I., Cavallo, J. A., Ousley, J., Cho, S., & Awad, M. M. (2014). FLS tasks can be used as an ergonomic discriminator between laparoscopic and robotic surgery. Surgical endoscopy, 28(8), 2459-2465.
  • Zihni, A. M., Ohu, I., Cavallo, J. A., Cho, S., & Awad, M. M. (2014). Ergonomic analysis of robot-assisted and traditional laparoscopic procedures. Surgical endoscopy, 28(12), 3379-3384.
  • Saffarzadeh, M., Cho, S., Ohu, I., Zihni, A., & Awad, M. M. (2016). Recurrence quantification analysis for surgical motions in minimally invasive surgery. International Journal of Biomedical Engineering and Technology, 21(2), 159-175.

Selected Conference Proceedings 

  • Ohu, I ., Nwokeji, J.C., Roache, T., Boulder, T., & Walker, A. (2017). Effect of VR-based activities on laparoscopic task performance. Proceedings of the IISE Annual Conference & Expo 2017. In Review
  • Ohu, I., Nwokeji, J.C., Roache, T., Boulder, T., & Walker, A. (2017). Identification and analysis of variables affecting completion time in a virtual reality based laparoscopic pattern cutting task. Proceedings of the IISE Annual Conference & Expo 2017. In Review
  • Ohu, I. & Brown, D. (2017). Development of a Matlab-based ergonomics and physiological analysis tool for minimally invasive surgery research. Applied Ergonomics Conference 2017. Orlando, Fla.
  • Nwokeji, J. C., Ohu, I., & Okolie, N. C. (2016, October). Language as an instructional barrier: Towards support for international faculty. In Frontiers in Education Conference (FIE), 2016 IEEE (pp. 1-2). IEEE.
  • Ohu I, Cho S, Garudeswaran S (2014), Analysis of surgical motions using complexity theory and a teach and play-back device, US-Korea Conference (UKC2014), August 6 - 9 2014, San Francisco, CA.
  • Zihni A, Ohu I, Cavallo JA, Chiu J, Cho S, Awad M (2013), Comparative analysis  of laparoscopic and robot-assisted surgical task performance, SAGES Annual Meetings 2014, Salt Lake City, UT.
  • Zihni A, Ohu I, Cavallo JA, Cho S, Awad M (2013), Robot-assisted surgical task performance confers ergonomic benefits compared to laparoscopic task performance, SAGES Annual Meetings 2014, Salt Lake City, UT.
  • Panahi S, Ohu I, Cho S, Zihni A, Awad M (2013), Can fatigue levels in laparoscopic surgery be deduced through recurrence plots and disorder index analysis? Fifth International Symposium on Recurrence Plots, August 14-16, 2013, Loyola University, Chicago, IL.
  • Ohu I, Panahi A, Zihni A, Cavallo J, Cho S, Awad M (2013), Fatigue quantification in laparoscopic surgery: a recurrence and intensity analysis based approach, SAGES Annals Meetings 2014, Salt Lake City, UT.
  • Zihni A, Ohu I, Cavallo J, Cho S, Awad M (2013), Ergonomic analysis of basic and advanced laparoscopic procedures, 6th Annual Meeting of the Consortium of American College of Surgeons Accredited Education Institutes, April 2013, Washington DC.
  • Zihni A, Ohu I, Cavallo J, Cho S, Awad M (2013), Minimally invasive procedures performed in the morning are associated with a higher degree of ergonomic stress than afternoon cases, 6th Annual Meeting of the Consortium of American College of Surgeons Accredited Education Institutes, April 2013, Washington DC.
  • Cho S, Matthews B, Awad M, Ohu I, Gordon C, Hubbard K (2011), A pilot study on real-time measures of surgical motions in minimally invasive surgery, 4th Annual Meeting of the Consortium of American College of Surgeons Accredited Education Institutes, April 2011, Chicago, Illinois.
University Service
  • Member, Lab. Tech. Search Committee
  • Member, IE Faculty Search Committee
  • Member, IE/ME Secretary Search Committee
  • Member, Learning Outcomes and Assessment Committee
  • Member, Planning and Budget Committee

Reviewer for

  • The National Science Foundation (NSF)
  • Canadian Center of Science and Education
Ikechukwu P. Ohu

+1 8148717533
Office: CAE 211

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