Lect. univ. dr. Nicolaie Popescu-Bodorin
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Contact Info

Lect. univ. dr. Nicolaie Popescu-Bodorin
+40722882471
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Building A, 1st Floor, Office E107
+40722882471

Courses

2015-2016:

- 2nd semester, Integrated Computational Intelligence (Course + Lab), 4th year of study in IT

- 2nd semester, Audio/Video Compression Techniques (Course + Lab), 4th year of study in IT

- 2nd semester, Parallel & Distributed Programming (Course + Lab), 2th year of study in IT

- 1st semester, Algorithm Design (Course + Lab), 3rd year of study in IT

- 1st semester, Speech Processing (Course + Lab), 4th year of study in TSTC

 

2014-2015:

- 2nd semester, Audio/Video Compression Techniques (Course + Lab), 4th year of study in IT

- 2nd semester, Integrated Computational Intelligence (Course + Lab), 4th year of study in IT

- 2nd semester, Communication Protocols (Course + Lab), 4th year of study in IT

- 2nd semester, Computer Simulation (Course + Lab), 2nd year of study in IT

- 1st semester, Algorithm Design (Course + Lab), 3rd year of study in IT

 

2013-2014:

- 2nd semester, Audio/Video Compression Techniques (Course + Lab), 4th year of study in IT

- 2nd semester, Computer Simulation (Course + Lab), 2nd year of study in IT

- 1st semester, ANSI-C Programming (Course + Lab), 1st year of study in IT

Biography

http://lmrec.org/bodorin/#bnote

 

 

N. Popescu-Bodorin received his BSc in Mathematics and Mechanics from the University of Bucharest, and MSc in Geometry, System Theory and Optimization from Politehnica University of Bucharest, Romania. During his MSc he also took a complementary specialization in Programming and Reduced Order Models and a complimentary fellowship as a Research Assistant in Electrical Engineering granted by Politehnica University of Bucharest. 
      He finished his PhD in Computer Science (2007-2011) under the coordination of PhD. Prof. State Luminita, and worked as a teaching assistant (2004-2010) and as a lecturer (2010-2013) in the Department of Mathematics and Computer Science Department of Spiru Haret University where he founded and leaded the Artificial Intelligence and Computational Logic Laboratory and taught Computational Logic, Computer Simulation, and Artificial Intelligence (course, seminar, laboratory). 
      He is currently working as a Lecturer and as a Technical Expert (Research & Development, Computer Science & Engineering) in Lumina Multidisciplinary Research Excellence Center (University of S-E Europe Lumina), where he founded and leads the Applied Computer Science Testing Laboratory. 
      His areas of interest are artificial intelligence, computational logic, modal/fuzzy/crisp/n-valent logics, image processing, biometrics, algorithms, information theory, robotics & automation, computability and system theory, etc. 

During his PhD study (summarized here), 
he introduced:

  • two versions of Circular Fuzzy Iris Segmentation (CFIS, CFIS2),
  • Gabor Analytic Iris Texture Binary Encoder (Hilbert Encoders), DWT-Hilbert Encoder, Haar-Hilbert Encoder, Haar-MultiscaleHilbert Encoder and mixed Log-Gabor & Haar - Multiscale Hilbert Encoder,

and he became the first who:

  • challanged the common belief that the possibility of formulating paradoxically self-reference sentences naturally belongs to semantically closed languages (A. Tarski), by defining Cognitive Binary Logic - a monoaxiomatic, complete, consistent, and self-contained (semantically closed) formalization of the binary logic in which the Liar Paradox was successfully deconstructed,
  • formulated the principle of objectivity in propositional logic,
  • proposed a logical and neural-evolutionary model for Iris Recognition, which is the first neural approach that proves outstanding power of discrimination between inter- and intra-class comparisons,
  • showed that parcticing iris recognition in a logically consistent manner means to recover from iris biometric data the binary fuzzified meaning of two concepts: "genuine" and "imposter" comparisons, and to mimic the correct binary biometric decisions given by a human agent during a Turing Test,
  • introduced the concepts of evolutionary digital identity and logically consistent biometric system and illustrated their utility,
  • introduced the Turing-Zadeh Modeling as a Soft Computing technique for intelligent computational modeling of the physical systems and successfully applied Turing-Zadeh Modeling in Iris Recognition.


      He is currently working on the logic foundations of (Consistent) Biometry and Iris Recognition and on applying advanced intelligence paradigms to Iris Recognition.

Publications

In my curricullum vitae:

http://lmrec.org/bodorin/#publication

In GoogleScholar:

https://scholar.google.ro/citations?user=hl_htOAAAAAJ&hl=en

In Scopus: 

http://www.scopus.com/authid/detail.url?authorId=6506501001

In ResearcherID:

http://www.researcherid.com/rid/B-2641-2010

In ResearchGate:

https://www.researchgate.net/profile/Nicolaie_Popescu-Bodorin

In ORCID:

http://orcid.org/0000-0001-5222-5752

In IEEE Xplore Digital Library:

http://ieeexplore.ieee.org/search/searchresult.jsp?searchWithin=p_Authors:.QT.Popescu-Bodorin,%20N..QT.&searchWithin=p_Author_Ids:37395222100&newsearch=true

In ACM Digital Library:

http://dl.acm.org/author_page.cfm?id=81461660860&coll=DL&dl=ACM&trk=0&cfid=560438668&cftoken=58541141

In DBLP:

http://dblp.uni-trier.de/pers/hd/p/Popescu=Bodorin:Nicolaie

 

Publications: Books   
  1. 2013: N. Popescu-Bodorin, Signal Processing Methodologies. A new approache to iris recognition , (original title in Romanian: "Metodologii de Prelucrare a Semnalelor. O noua abordare in Recunoasterea Irisului"), ISBN 978-973-8971-34-9, 234p., Pegasus Press, Bucharest, 2013. 
     
  2. 2009, 2004: Z. Gherasim, M. Andronie, N. Popescu-Bodorin, Informatica manageriala, Spiru Haret University, Editura Fundatiei România de Mâine, Bucharest, 256 p., 2004, ISBN 978-973-163-426-5. 
     

 

  Publications: Book chapters  
  1. 2012: N. Popescu-Bodorin, V.E. Balas, I.M. Motoc, The Biometric Menagerie – A Fuzzy and Inconsistent Concept , Soft Computing Applications, Advances in Intelligent Systems and Computing, ISBN: 978-3-642-33940-0 (Print) 978-3-642-33941-7 (Online), Volume 195, 2013, pp 27-43, doi: 10.1007/978-3-642-33941-7_6, Springer Verlag, 2013. (CSB, DBLP, Scopus, Web of Science) 
     
  2. 2012: C.M. Noaica, R. Badea, I.M. Motoc, C.G. Ghica, A.C. Rosoiu, N. Popescu-Bodorin, Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition , Soft Computing Applications, Advances in Intelligent Systems and Computing, ISBN: 978-3-642-33940-0 (Print) 978-3-642-33941-7 (Online), Volume 195, 2013, pp 57-69, doi: 10.1007/978-3-642-33941-7_8, Springer Verlag, 2013. (CSB, DBLP, Scopus, Web of Science) 
     
  3. 2011: Nicolaie Popescu-Bodorin, Valentina E. Balas, Learning Iris Biometric Digital Identities for Secure Authentication. A Neural-Evolutionary Perspective Pioneering Intelligent Iris Identification , book chapter in J. Fodor et al. (Eds.): Recent Advances in Intelligent Engineering Systems, pp. 409–434, ISBN 978-3-642-23228-2, vol. 378, Series Studies in Computational Intelligence, DOI: 10.1007/978-3-642-23229-9_19, Springer Verlag Berlin Heidelberg, 2011. (Scopus, Web of Science) 
     

 

  Publications: Articles  
  1. 2015: Nicolaie Popescu-Bodorin, Cristina Madalina Noaica, Patricia Steliana Penariu, Iris Recognition with 4 or 5 Fuzzy Sets, in Proc. of IFSA-EUSFLAT 2015 (16th World Congress of the International Fuzzy Systems Association & 9th Conference of the European Society for Fuzzy Logic and Technology), June 30 - July 3rd, Gijon, Asturias, Spain, in press. 
     
  2. 2014: Nicolaie Popescu-Bodorin, Valentina E. Balas, Best Practices in Reporting Iris Recognition Results, in Proc. 6th IEEE Intl. Conf. on Soft Computing and Applications (SOFA -2014), Timisoara, Romania, July 24-26, 2014, in press. 
     
  3. 2014: Nicolaie Popescu-Bodorin, Valentina E. Balas, Fuzzy Membership, Possibility, Probability and Negation in Biometrics, Acta Polytechnica Hungarica, Issue 50, Vol. 11, No. 4 / 2014, pp. 79-100, April 2014. (DBLP, ACM, Scopus, Web of Science) 
     
  4. 2011: Nicolaie Popescu-Bodorin, Valentina E. Balas, Iulia M. Motoc, Iris Codes Classification Using Discriminant and Witness Directions, Proc. 5th IEEE Int. Symp. on Computational Intelligence and Intelligent Informatics (Floriana, Malta, September 15-17), pp. 143-148, ISBN: 978-1-4577-1861-8 (electronic), 978-1-4577-1860-1 (print), DOI:10.1109/ISCIII.2011.6069760, IEEE Press, 2011. (CSB, DBLP, ACM, IEEEXplore, Scopus
     
  5. 2011: Nicolaie Popescu-Bodorin, Valentina E. Balas, Iulia M. Motoc, 8-Valent Fuzzy Logic for Iris Recognition and Biometry, Proc. 5th IEEE Int. Symp. on Computational Intelligence and Intelligent Informatics, (Floriana, Malta, September 15-17), pp. 149-154, ISBN: 978-1-4577-1861-8 (electronic), 978-1-4577-1860-1 (print), DOI: 10.1109/ISCIII.2011.6069761, IEEE Press, 2011. (CSB, DBLP, ACM, IEEEXplore, Scopus
     
  6. 2011: Nicolaie Popescu-Bodorin, Valentina E. Balas, Exploratory Simulation of an Intelligent Iris Verifier Distributed System, Proc. 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, pp. 259 - 262, ISBN 978-1-4244-9108-7 (print), DOI: 10.1109/SACI.2011.5873010, IEEE Press, June 2011. (CSB, DBLP, ACM, IEEEXplore, Scopus
     
  7. 2010: Nicolaie Popescu-Bodorin, Valentina E. Balas, Comparing Haar-Hilbert and Log-Gabor based iris encoders on Bath Iris Image Database, Proc. 4th International Workshop on Soft Computing Applications, pp. 191-196, ISBN 978-1-4244-7983-2, DOI: 10.1109/SOFA.2010.5565599, IEEE Press, July 2010. (CSB, DBLP, ACM, IEEEXplore, Scopus, INSPEC-11516894) 
    See also: PT-UBIID-v.02 (Processing Tools for the University of Bath Iris Image Database, Second version) 
     
  8. 2010: Nicolaie Popescu-Bodorin, Valentina E. Balas, AI Challenges in Iris Recognition. Processing Tools for Bath Iris Image Database, Recent Advances in Automation & Information, Proc. WSEAS 11th Int. Conf. on Automation & Information (ICAI'10), pp. 116-121, ISSN: 1790-5117, ISBN 978-960-474-193-9, WSEAS Press, June 2010. (CSB, ACM, Scopus) 
     
  9. 2010: Nicolaie Popescu-Bodorin, Automatic Detection of Common Long-Term Monetary Policies on Global Exchange Market Using Gabor Analytic Phase Binary Encoder, Ovidius University Annals, Economic Sciences Series, Volume X, Issue 1, 2010, pp. 776-779, Ovidius University Press, May 2010. (CNCSIS B+) 
     
  10. 2010: Nicolaie Popescu-Bodorin, Valentina E. Balas, From Cognitive Binary Logic to Cognitive Intelligent Agents, Proc. 14th Int. Conf. on Intelligent Engineering Systems, pp. 337-340, ISBN 978-1-4244-7651-0, Conference Publishing Services - IEEE Computer Society, May 2010, pp. 337 - 340, DOI: 10.1109/INES.2010.5483820. (CSB, DBLP, ACM, IEEEXplore, Scopus
     
  11. 2010: Nicolaie Popescu-Bodorin, Luminita State, Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic, Recent Advances in Computational Intelligence, Proc. 4th WSEAS International Conference on Computational Intelligence, pp. 135-142, ISSN: 1790-5117, ISBN 978-960-474-179-3, WSEAS Press, April 2010. (ZBMATH, CSB, DBLP, ACM, Scopus
     
  12. 2010: Nicolaie Popescu-Bodorin, 'Fragile Bits' vs. Multi-Enrollment - A Case Study of Iris Recognition on Bath University Iris Database, ROMAI Journal, Nr.5, vol. 2/2009, pp. 127-144, ISSN: 1841-5512 (print) / 2065-7714 (online), February 2010. (ZBMATH, CNCSIS B+) 
     
  13. 2010: Luminita State, Iuliana Paraschiv-Munteanu, Nicolaie Popescu-Bodorin, Blood corpuscles classification schemes for automated diagnosis of hepatitis using ISODATA algorithm and Run Length Encoding, Scientific Bulletin, No.16/2010, pp. 149-160, University of Pitesti, ISSN 1453-116x. (CNCSIS C) 
     
  14. 2009: Nicolaie Popescu-Bodorin, A Fuzzy View on k-Means Based Signal Quantization with Application in Iris Segmentation, Technical Report, Artificial Intelligence & Computational Logic Laboratory, Maths & Computer Science Department, 'Spiru Haret' University, November 2009. (CSB, DBLP) 
     
  15. 2009: Nicolaie Popescu-Bodorin, Exploring New Directions in Iris Recognition, 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Conference Publishing Services - IEEE Computer Society, pp. 384-391, DOI:10.1109/SYNASC.2009.45., September 2009. (ACM, IEEEXplore, Scopus, INSPEC, DBLP) 
     
  16. 2009: Nicolaie Popescu-Bodorin, Gabor Analytic Iris Texture Binary Encoder, Proceedings of the 4th Annual South East European Doctoral Student Conference, vol. 1, pp. 505-513, ISBN 978-960-9416-00-9, 978-960-9416-02-3, ISSN 1791-3578, South-East European Research Centre (SEERC), July 2009. 
     
  17. 2009: Nicolaie Popescu-Bodorin, Circular Fuzzy Iris Segmentation, Proceedings of the 4th Annual South East European Doctoral Student Conference, vol. 1, pp. 471-479, ISBN 978-960-9416-00-9, 978-960-9416-02-3, ISSN 1791-3578, South-East European Research Centre (SEERC), July 2009. 
     
  18. 2009: Nicolaie Popescu-Bodorin, Fast Fuzzy Iris Segmentation, Proceedings of the 5th International Conference "Dynamical Systems and Applications", Ovidius University Annals Series: Civil Engeneering, Volume I, Special Issue 11, June 2009, pp. 383-394, ISSN 1584-5990. (CNCSIS C) 
     
  19. 2009: Luminita State, Iuliana Paraschiv-Munteanu, Nicolaie Popescu-Bodorin, Blood corpuscles classification schemes for automated diagnosis of hepatitis, Scientific Bulletin, No.14/2008, pp. 209-224, University of Pitesti, ISSN 1453-116x. (CNCSIS C, ZBMATH) 
     
  20. 2008: Nicolaie Popescu-Bodorin, Fast K-Means Image Quantization Algorithm and Its Application to Iris Segmentation, Scientific Bulletin, No.14/2008, pp. 159-176, University of Pitesti, ISSN 1453-116x. (ZBMATH, CNCSIS C) 
     
  21. 2008: Nicolaie Popescu-Bodorin, Lossless DCT-Based Compression for Single-Component Continuous-Tone Still Images, Scientific Bulletin, No.13/2007, pp. 131-138, University of Pitesti, ISSN 1453-116x. (CNCSIS B, ZBMATH) 
     
  22. 2008: Nicolaie Popescu-Bodorin, Luminita State, Optimal Luminance-Chrominance Downsampling through Fast K-Means Quantization, Proceedings of the 3rd Annual South East European Doctoral Student Conference, vol. 2, pp. 111-125, ISBN 978-960-89629-7-2, ISSN 1791-3578, South-East European Research Centre (SEERC, www.serc.org ), June 2008. 
     
  23. 2008: Nicolaie Popescu-Bodorin, Bit Reversal through Direct Fourier Permutation Method and Vectorial Digit Reversal Generalization, ROMAI Journal, vol. 4, no. 1/2008, pp. 27-46, Romanian Society of Applied and Industrial Mathematics 2008. (CNCSIS C, CSB) 
     
  24. 2007: Nicolaie Popescu-Bodorin, Efficient (Implicit) Bit Reversal Ordering through Direct Fourier Permutation Method, Scientific Bulletin, No.12/2006, pp.133-154, University of Pitesti, ISSN 1453-116x. (CNCSIS B, ZBMATH) 
     
  25. 2003: Constantin Vârsan, Nicolaie Popescu-Bodorin, Stochastic Hamiltonians Associated with Stochastic Differential Equations and Non-Smooth Final Value, Institute of Mathematics of the Romanian Academy (IMAR), Mathematical Reports, vol. 5, no. 4, pp. 399-411, 2003. (ZBMATH) 
     
  26. 2003: Nicolaie Popescu-Bodorin, Implicit moments matching through Krylov subspaces projections methods. Lanczos methods, Scientific Bulletin, Series A: Applied Mathematics and Physics, ISSN 1223-7027, vol.64, issue no.3, pp. 31-42, University "Politehnica" of Bucharest, 2002. (CNCSIS B, ZBMATH, Scopus
     
  27. 2002: Nicolaie Popescu-Bodorin, Implicit moments matching through Krylov subspaces projections methods. Arnoldi methods, Scientific Bulletin, Series A: Applied Mathematics and Physics, ISSN 1223-7027, vol.64, issue no.2, pp. 35-44, University "Politehnica" of Bucharest, 2002. (CNCSIS B, ZBMATH, Scopus
     

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