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Karim Hajjar

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Qualifications: Doctor of Philosophy, Computer Science, Computer department of the University of Fribourg, Switzerland, 2001-2006 + MSc. Modeling and Management Information Systems, Higher Institute of Management of Tunis, Tunisia, 1993-1995 + BSc. Management Information Systems, Higher Institute of Management of Tunis, Tunisia, 1987-1989 and 1991-1993

Biography

Microsoft Certified Trainer. Microsoft Power BI Expert. Microsoft Power Platform Expert. Microsoft Azure Cloud Expert. Microsoft Fabric Expert. Microsoft 365 Expert. Associate Professor with demonstrated experience of 25 years. Chairperson of Multimedia Science Dept for 10 years. Strong education professional with a Doctor of Philosophy (Ph.D.) in Computer Science from University of Fribourg Switzerland.


Certifications:

  • Microsoft Fabric Analytics Engineer Associate, June 2024
  • Microsoft Power Platform Developer Associate, September 2023
  • Microsoft Power BI Data Analyst Associate, July 2023
  • Microsoft Information Protection Administrator Associate, Mars 2023
  • Designing Microsoft Azure Infrastructure Solutions, February 2023
  • Fortinet NSE3 Network Security Associate, December 2022
  • Fortinet NSE2 Network Security Associate, December 2022
  • Fortinet NSE1 Network Security Associate, December 2022
  • Microsoft Azure Security Engineer Associate, December 2022
  • Microsoft Security Identity and Access Administrator Associate, September 2022
  • Microsoft Security Operations Analyst Associate, June 2022
  • Microsoft Innovative Educator Certification, Microsoft, April 2022
  • Neo4j Graph Data Science, Neo4j, March 2022
  • Importing CSV Data into Neo4j, Neo4j, February 2022
  • Neo4j Fundamentals, Neo4j, February 2022
  • Graph Data Modeling Fundamentals, Neo4j, February 2022
  • Cypher Fundamentals, Neo4j, February 2022
  • Barracuda Backup Product Specialist, January 2022
  • Barracuda Cloud to Cloud Gen Access Foundation, January 2022
  • Barracuda Cloud to Cloud Backup Foundation, January 2022
  • Microsoft Certified Trainer, Microsoft, November 2021
  • Microsoft Certified: Azure Data Fundamentals, Microsoft, November 2021
  • Microsoft Certified: Azure Data Engineer Associate, October 2021


Areas of Expertise

Python and Java Programming Cloud Computing and MS Azure Data analysis and Visualization Business Intelligence

Research Interest

Document Recognition (Physical and Logical Layout) Machine Learning and Pattern Recognition Image Processing Security and Privacy eLearning Web Services Ontologies Big Data Deep Learning

Book Chapter:

  • Karim Hadjar, “University Ontology: Case Study Ahlia University”, Semantic Web – Implications for Technologies and Business Practices. Michael Workman, Springer, pp. 173-183, ISBN: 978-3-319-16658-2

Conferences:

  • Karim Hadjar, Ahmed Jedidi “A New Approach for Scheduling Tasks and/or Jobs in Big Data Cluster”, The 4th International Conference on Big Data and Smart City (ICBDSC 2019), IEEE, Muscat (Oman) 15 - 16 January 2019, pp. 191-194, DOI: 10.1109/ICBDSC.2019.8645613
  • Sohail Safdar, Mohd Fadzil Hassan, Karim Hajjar, Rehan Akbar, Baraa Tarek Sharef and Muhammad Aasim Qureshi, "Mechanism to continue system availability during cyber threat scenario", International Conference on Ubiquitous Information Management and Communication (INCOM 2017), Beppu (Japan) 05 - 07 January 2017
  • Karim Hadjar and Khaled Riadh Hammoud "E-Learning Through Social Networking Sites-Case Study Facebook", EEE'14 - The 2014 International Conference on e-Learning, e-Business, Enterprise Information Systems and e-Government, LAS VEGAS (USA) 21 - 24 July 2014
  • Karim Hadjar and Nawal Chanane "University Ontology: case study Ahlia University", SWWS'13 - The 2013 International Conference on Semantic Web & Web Services, LAS VEGAS (USA) 22 - 25 July 2013, pp. 50-54
  • Karim Hadjar and Rolf Ingold "Minimizing user annotations in the generation of layout ground-truthed data", ICDAR'11 Beijing (China) 18 - 21 September 2011, pp. 703-707
  • Karim Hadjar, Sawsan Sabra and Ahmed Younis AL Kooheji "Social Web Reviews", ICOMP'11 - The 2011 International Conference on Internet Computing, LAS VEGAS (USA) 18 - 21 July 2011, pp. 71-76
  • Karim HADJAR and Fatima ALAWI "The Pyramid Model: A New Model for Evaluating E-Learning Systems", EEE'10 - The 2010 International Conference on ELearning, e-Business, Entreprise Information Systems and e-Government, LAS VEGAS (USA) 12 July - 15 July 2010, pp. 76-82
  • F. A. Barika, Karim HADJAR and Nabil EL Kadhi "Artificial Neural Network for Mobile IDS Solution", SAM'09 - The 2009 International Conference on Security and Management, LAS VEGAS (USA) 13 July -16 July 2009, pp. 271-277
  • Maurizio Rigamonti, Jean Luc Bloechle, Karim HADJAR, Denis Lalanne and Rolf Ingold "Towards a Canonical and Structured Representation of PDF Documents through Reverse Engineering", ICDAR'05 Seoul (Korea) 29 August -1 September 2005, pp. 1050-1054
  • Karim HADJAR and Rolf Ingold, "Logical Labeling of Arabic Newspapers using Artificial Neural Nets", ICDAR'05 Seoul (Korea) 29 August -1 September 2005, pp.426-430
  • Maurizio RIGAMONTI, Karim HADJAR, Denis LALANNE and Rolf Ingold "Xed: un outil pour l'extraction et l'analyse de documents PDF", CIFED'2004 La Rochelle (France) 21-25 Juin 2004, pp. 85-90
  • Karim HADJAR, Maurizio RIGAMONTI, Denis LALANNE and Rolf Ingold "Xed: a new tool for eXtracting hidden structures from Electronic Documents", DIAL'2004 Palo Alto (USA) 23-24 January 2004, pp. 212-221
  • Karim HADJAR and Rolf Ingold "Arabic Newspaper Page Segmentation", ICDAR'2003 Edinburgh (Scotland) 03-06 August 2003, pp. 895-899
  • Karim HADJAR, Oliver Hitz, Lyse Robadey et Rolf Ingold "2(CREM) Une méthode de reconnaissance interactive pour les documents à structure complexe", CIFED'02 Hammamet (Tunisie) 21-23 Octobre 2002, pp. 235-244
  • Karim HADJAR, Oliver Hitz and Rolf Ingold "Newspaper Page Decomposition using a Split and Merge Approach", ICDAR’01 Seattle (USA) 10-13 September 2001, pp.1186-1189
  • Karim HADJAR and Majed KHALFALLAH "Improvement of Pattern Recognition In the Field of Mapping Using Neural Networks", IASTED Artificial Intelligence and Soft Computing CANCUN (Mexico) 27-30 may 1998
  • Karim Hadjar and Mohammed BEN Ahmed “Adaptive Multi-Agent Neural Approach For Automated Interpretation Of The ECG”, CESA’98 IEEE Hammamet (Tunisia) 01-04 April 1998

Peer-Reviewed journals:

  • Thuraya Omran, Baraa Tarek Sharef, Karim Hadjar, and Suresh Subramanian “Machine-Learning for Improving Teaching Methods Through Sentiment Analysis", Journal of Applied Mathematics & Information Sciences, Vol 14, Issue 2, Natural Sciences Publishing, pp. 309-317
  • Kailash Madan, and Karim Hadjar "Time-dependent and Steady State solution of an M(X)/G/1 queueing system with server’s long and short vacations", Journal of Mathematical and Computational Science (UK), Vol. 6, No. 3, pp. 486-506
  • Nabil EL Kadhi, Karim Hadjar and Nahla AL Zant "A Mobile Agents and Artificial Neural Networks for Intrusion Detection", JSW – Journal Of Software – Vol 7 No 1 pp. 156-160
  • Karim Hadjar and Rolf Ingold "Improving XED for extracting content from Arabic PDFs", Document Analysis Systems, LNCS vol= 2390, ISBN= 978-1-60558-773-8, pp. 371-376
  • Jean-Luc Bloechle, Maurizio Rigamonti, Denis Lalanne, Karim Hadjar and Rolf Ingold "XCDF: A Canonical and Structured Document Format", Document Analysis Systems, LNCS vol= 3872, ISBN= 3-540-32140-3, pp. 141-152
  • Karim HADJAR and Rolf Ingold "Physical Layout Analysis of Complex Structured Arabic Documents using Artificial Neural Nets", Document Analysis Systems VI, LNCS vol= 3163, ISBN= 3-540-23060-2, pp.170-178
  • Karim HADJAR, Oliver Hitz, Lyse Robadey and Rolf Ingold "Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM)", Document Analysis Systems V, LNCS vol=2423, ISBN=3-540-44068-2, pp. 469-479

  • Java
  • Python
  • C and C++
  • Cloud Computing
  • Big Data
  • Business Intelligence using MS Power BI
  • Machine Learning
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