Name Surname: Asst. Prof. Dr. Manuel CARCENAC
Birthdate: 29. 07. 1964
Mobile: 00 90 533 877 3881
Email address : firstname.lastname@example.org
Personal website : www.manuel-carcenac.com
Manuel Carcenac was born in 1964 in France. He obtained his Engineering Degree in Mechanics, Automatics and Robotics from the French Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM), Besançon, France. He had previously followed two years of preparatory classes, Math Sup and Math Spé, at Lycée Pierre-de-Fermat, Toulouse.
He then obtained his Mastère and his Ph.D. in Computer Science from the Ecole Nationale Supérieure de l'Aéronautique et de l'Espace (ENSAE, Sup'Aéro), Toulouse, France.
From 1994 to 1997, he worked as research engineer in a French software company on numerical computing applications.
From 1998 to 2010, he was an assistant professor in the Department of Computer Engineering of Eastern Mediterranean University.
From 2010 to 2015, Manuel Carcenac was an assistant professor in the Department of Computer Engineering of the European University of Lefke.
His research interests include the fields of numerical computing, functional programming, computer graphics, artificial neural networks, GPU-based parallel architectures and parallel computational linear algebra.
Mastère Thesis: "Techniques de texturage pour la synthèse d'images - Modélisation declarative d'objets et de scènes" ("Texturing technics for image synthesis - Declarative modelling of objects and scenes"). Supervisor: Prof. R. Caubet, Université Paul Sabatier, Toulouse, France.
Doctorate Thesis: "Structures de données arborescentes et évaluation paresseuse: une nouvelle approche pour la résolution des équations aux dérivées partielles" ("Arborescent data structures and lazy evaluation: a novel approach for the resolution of partial derivative equations"). Supervisor: Prof. B. Lécussan, ENSAE, Toulouse, France.
Languages: French (native language), English (Fluent, IELTS academic score: 8.0)
Undergraduate and graduate courses taught over the last two years:
Fall 2012: Visual programming; Analysis of algorithms; Java programming; Introduction to computer organization; Software requirements, analysis and specifications.
Spring 2013: Computer graphics; Advanced computer architecture-advanced GPU computing; Software analysis and design; Software design and architecture.
Summer 2013: Principles of programming languages.
Fall 2013: Introduction to computer organization; Java programming; Fundamentals of computer organization and architecture; Analysis of algorithms.
Spring 2014: Software analysis and design; Advanced computer architecture-advanced GPU computing; Computer graphics; Microprocessor systems; Analysis of algorithms.
Summer 2014: Microprocessor systems.
Fall 2014: Fundamentals of Computer organization and architecture; Analysis of algorithms; Java programming; Introduction to software engineering.
Spring 2015: Computing foundations; Software design and architecture; Computer graphics; Advanced computer graphics; Data structures.
Articles published in Science Citation Index (SCI) journals :
M. Carcenac, S. Redif, S. Kasap, GPU parallelization of the Sequential Matrix Diagonalization algorithm and its application to high-dimensional data, The Journal of Supercomputing. DOI 10.1007/s11227-017-1961-6, 2017.
M. Carcenac, S. Redif, A highly scalable modular bottleneck neural network for image dimensionality reduction and image transformation, Applied Intelligence. 44(3), pp. 557-610, 2016.
M. Carcenac, From tile algorithm to stripe algorithm: a CUBLAS-based parallel implementation on GPUs of Gauss method for the resolution of extremely large dense linear systems stored on an array of solid state devices, The Journal of Supercomputing. 68(1), pp. 365-413, 2014.
M. Carcenac, A Modular Neural Network for Super-Resolution of Human Faces, Applied Intelligence. 30(2), pp. 168-186, 2009.
Article published in Science Citation Index Expanded (SCI-E) journal :
M. Carcenac, A Modular Neural Network Applied to Image Transformation and Mental Images, Neural Computing & Applications. 17(5), pp. 549-568, 2008.
Article published in refereed journal (SCI-E journal since 2008) :
M. Carcenac, An Implicit Surface Modeling Technique Based on a Modular Neural Network Architecture, Electrik: The Turkish Journal of Electrical Engineering & Computer Sciences. 12 (1), pp. 11-26, 2004.
Articles published in proceedings of international conferences :
M. Carcenac, B. Rahnama, Application of CUDA architecture to the parallelization of the resolution of dense linear systems, Proceedings of the International Conference on Electrical and Electronics Engineering and Computer Systems, (EEECS’10), Lefke, North Cyprus, Nov 2010, pp 136-140. ISBN: 978-975-98897-6-0.
S. Izadpanahi, M. Carcenac, M.R. Fatemi, Pyramidal Quadtree Approach to Super-Resolution, 4th FAE International Symposium, Lefke, November 2006.
M. Carcenac, A Modular Neural Network Architecture for Implicit Surface Modeling, TAINN 03 Conference, Cannakkale, July 2003.
M. Carcenac, Adapting the Architecture of a Neural Network to the Modeling of an Isosurface, TAINN 01 Conference, Gazimagusa, June 2001.
M. Carcenac, A. Acan, Modeling an Isosurface with a Neural Network, Pacific Graphics 2000 Conference, Hong-Kong, October 2000.
M. Carcenac, M. Cubero-Castan, B. Lecussan, A new method of computation for large applications on massively parallel computer architectures, ONERA / CERT, PaCT Conference, Moscow, August 93.
M. Carcenac, Arborescent data structures and lazy evaluation : a new approach to numerical problems, Parallel CFD’93 Conference, May 1993.