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Haralambos Marmanis (born 1970) is an American author and executive. He is the Chief Technology Officer and Vice President at the Copyright Clearance Center.[1]

Haralambos Marmanis
Born (1970-01-01) 1 January 1970 (age 49)
Alma materBrown University
Scientific career
ThesisAnalogy between the Electromagnetic and Hydrodynamic Equations: Application to Turbulence (2000)
Doctoral advisorGeorge Karniadakis


Marmanis received an MsC from the University of Illinois at Urbana-Champaign[2] as well as a Ph.D. in applied mathematics from Brown University supervised by George Karniadakis.[3]


Marmanis developed the Marmanis-form of the Lamb transport equations,[4] first published in a 1998 paper.[5][6] He was also the founder of Sofia Tech,[7] and worked at Truexchange as well as Zeborg. He later became the Chief Technology Officer of Emptoris. He then joined Copyright Clearance Center as the Chief Technology Officer and Vice President of Engineering.[2] Marmanis has published peer-reviewed articles,[8][9] as well as the books Spend Analysis: The Window into Strategic Sourcing and Algorithms of the Intelligent Web.[10][11][12] His work has included research into the behaviour of fluids in the context of electromagnetic theory.[13]


  1. ^ Information Today, Volume 28, Number 9, October 2011.
  2. ^ a b "Marmanis Profile". Bloomberg.
  3. ^ "Profile: Haralambos Marmanis".
  4. ^ Michael Ungs (2010). The Theory of Quantum Torus Knots: Volume II, Volume 2. pp. 88–89.
  5. ^ Paul K. Newton (2013). The N-Vortex Problem: Analytical Techniques. Springer Science & Business Media. p. 277.
  6. ^ Norman Henry March; M. P. Tosi (2002). Introduction to Liquid State Physics. World Scientific. p. 335.
  7. ^ "A vortex mechanism for the splashing of liquid drops". Physics Abstract Service. Bibcode:2000APS..DFD.FM005B. Missing or empty |url= (help)
  8. ^ Albert Reimer (2006). General Relativity Research Trends. Nova Publishers. p. 175.
  9. ^ Haralambos Marmanis. "The kinetic theory of point vortices".
  10. ^ "Spend Analysis: The Window into Strategic Sourcing". Research Gate.
  11. ^ Ana Gabriela Maguitman. "Book Review: Algorithms of the Intelligent Web" (PDF). Journal of Computer Science & Technology. Archived from the original (PDF) on 2015-11-24.
  12. ^ Valentine Fontama; Roger Barga; Wee Hyong Tok (2014). Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes. Apress. p. 16.
  13. ^ Howard B. Bluestein (2013). Severe Convective Storms and Tornadoes: Observations and Dynamics. Springer. p. 90.