Dr. Sara Tedmori

Dr. Sara Tedmori, In 2001, Dr. Tedmori received her BSc degree in Computer Science from the American University of Beirut, Lebanon. In 2003, she obtained her MSc degree in Multimedia and Internet Computing from Loughborough University. In 2008, she received her Engineering Doctorate in Computer Science from Loughborough University, UK. Currently she is an Associate Professor in the Computer Science Department at Princess Sumaya University of Technology, Jordan. Her research interests include: Natural Language Processing, Sentiment Analysis, Data Mining, Image Processing, Social Networks, Web Technologies, and Classification.



 

Publications

  • Biltawi, M., Etaiwi, W,, Tedmori, S., and Shaout, A. (2018) “Fuzzy Based Sentiment Classification in the Arabic Language”, Proceedings of the Intelligent Systems Conference, London, UK.
  • Alhijawi, B., Obeid, N., Awajan, A., Tedmori, S. (2018) “Improving collaborative filtering recommender systems using semantic information”, 9th International Conference on Information and Communication Systems (ICICS), pp 127-132
  • Qasaimeh, M., Al-Qassas, RS., Tedmori, S. (2018) “Software randomness analysis and evaluation of lightweight ciphers: the prospective for IoT security”, Multimedia Tools and Applications, pp 1-35.
  • Alzubi, O., Alzubi, J., Tedmori, S., Rashaideh, H., and Almomani, O., (2018) “Consensus-Based Combining Method for Classifier Ensembles”, International Arab Journal of Information Technology, Vol 15. No. 1, pp. 76-86.
  • Biltawi, M., Awajan, A., and Tedmori, S. (2017) “Towards Building a Frame-Based Ontology for the Arabic Language”, The 18th International Arab Conference on Information Technology (ACIT’2017). Yassmine Hammamet, Tunisia. IEEE.
  • Tomaszewski, B., Martin, J.-L., Omondi, I., Al-Najdawi, N., Tedmori, S. & Hamad, Y. Using Geographic Information Systems (GIS) in Za'atari Refugee Camp, Jordan for Refugee Community Information Management and Mobilization: The RefuGIS Project. In: CUNNINGHAM, P., ed. 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017 San Jose, California, USA. 10 pages
  • Biltawi, M., Al-Naymat, G., Tedmori, S. (2017). “Arabic Sentiment Classification: A Hybrid Approach”, International Conference on new Trends in Computing Sciences, pp 104-108, Amman.
  • Biltawi, M., Awajan, A., Tedmori, S. and Al-Kouz, A.,(2017). “Exploiting Multilingual Wikipedia to Improve Arabic Named Entity Resources”, International Arab Journal of Information Technology, Vol 14. No. 4A. Special Issue,
  • Alweshah, M., Hammouri, A.I., Tedmori, S., (2017). “ Biogeography-Based Optimization for data Classification Problems”, International Journal of Data Mining Modelling and Management, Vol 9. No. 2, 2017.
  • Tedmori, S., (2017) “Privacy Preserving Method for Knowledge Discovered by Data Mining”, Accepted for publication in International Journal of Information and Communication Technology.
  • Alzubi, O., Alzubi, J., Tedmori, S., Rashaideh, H., and Almomani, O. (2017) “Consensus-Based Combining Method for Classifier Ensembles”, accepted for publication in the International Arab Journal of Information Technology, Vol 15. No. 2.
  • Alsaadi, M., Qasaimeh, M., Tedmori, S., and Almakadmeh, K. (2017) “Support for HIPAA Security and Privacy Requirements Auditability in Extreme Programming Environments”. International Journal of Information Systems in the Service Sector (IJISSS), Vol 9. No. 1.
  • Tedmori, S., Al-Lahaseh, R. (2016) “Towards a Selfie Social Network with Automatically Generated Sentiment-Bearing Hashtags” in Proceedings of the 7th International Conference of Computer Science & Information Technology, Amman.
  • Bilto, M., Etaiwi, W., Tedmori, S., Hudaib, A. and Awajan, A. (2016) “SENTIMENT CLASSIFICATION TECHNIQUES FOR ARABIC LANGUAGE: A SURVEY”, The 7th International Conference on Information and Communication Systems, Amman.
  • Hattab, E., Tedmori, S., Tahhan, A. (2015). “Boosting Collaborative Filtering by Trust”, Eighth International Conference on Developments in e-Systems Engineering (DeSE2015), December 2015
  • Najdawi, N., Biltawi, M., Tedmori, S. (2015), “Mammogram image visual enhancement, mass segmentation and classification”, Applied Soft Computing 35, 175-185
  • Hamdan, S., Al-Qassas, R. S. and Tedmori, S. (2015), “Comparative Study on Sybil Attack Detection Schemes”, International Journal of Computers & Technology, Vol 14. No. 7, pp 5869-5876.
  • Zeglat, D., Tedmori, S. (2014) Assessing the Importance of E-Service Quality Dimensions and Attributes: Perspective of Facebook’s Users, International Business Research., Vol 7. No. 7.
  • Muhareb, H., Tedmori, S., Hasan, K. (2014), “Automatic Expert Diagnostic System for CRC Detection”, Ubiquitous Computing and Communication Journal, Vol 9, No 3, pp 1468-1471
  • Tedmori, S, Najdawi, N. (2014), “Image Cryptographic Algorithm Based on the Haar Wavelet Transform”, Information Sciences Journal, vol 269, pp 21–34
  • Tedmori, S., “Combining Stochastic Filters with Fast Search Motion Estimation Algorithms: Performance Analysis”, Accepted on 31st January 2014 , the International Conference on Multimedia Computing and Systems, April 14-16, 2014, Marrakesh, Morocco.
  • Al-Najdawi, N., Al-Najdawi M.Noor, Tedmori, S. Employing a Novel Cross-Diamond Search in a Modified Hierarchical Search Motion Estimation Algorithm for Video Compression, Elsevier Information Sciences (2013), 10.1016/j.ins.2013.08.009.
  • Sadah, Y., Najdawi, N., Tedmori, S., (2013) ”Exploiting Hybrid Methods for Enhancing Digital x-Ray Images”, International Arab Journal of Information Technology, Vol 10. No 1,. pp 28-35.
  • Beltawi, M., Al-Najdawi, N., Tedmori, S. (2012) “Mammogram Enhancement and Segmentation Methods: Classification, Analysis, and Evaluation”, The 13th International Arab Conference on Information Technology, pp 477-485, Jordan.
  • Tedmori, S, Najdawi, N., (2012) “Lossless Image Cryptography Algorithm based on Discrete Cosine Transform”, International Arab Journal of Information Technology, Vol 9, No 5, pp 471-478.
  • Jackson, T., Tedmori, S., Hinde, C., and Bani-Hani, A. (2012). “The Boundaries of Natural Language Processing Techniques in Extracting Knowledge from Email”, Journal of Emerging Technologies in Web Intelligence, Vol 4, No 2 (2012), 119-127.
  • Tedmori, S. and Jackson, T.W., (2012) “The Design and Evaluation of EKE, a Semi Automated Email Knowledge Extraction Tool, Knowledge Management and Research Practice Journal, Volume 10, issue 1, pp. 79-88.
  • Tedmori, S. and Najdawi, N., (2012) “Hierarchical Stochastic Fast Search Motion Estimation Algorithm”, Journal of IET Computer Vision, Vol 6, No 1, pp 21-28
  • Najdawi, N., Tedmori, S. Bez, H., Edirisinghe, E., (2012). ”An Automated Real-Time People Tracking System Based on KLT Features Detection”, International Arab Journal of Information Technology, Volume 9, No. 1. , pp 100-107.
  • Jackson, T.W., Tedmori, S., Hinde, C.J., and Bani-Hani, A.I. (2011) ”Review of Knowledge Extraction from Email: The Boundaries of Natural Language Processing Techniques”, Proceedings of the 2nd International Conference on Information and Communication Systems, Irbid, Jordan
  • van Reijsen, J., Helms, R., Jackson, T.W.,Vleugel, A., and Tedmori, S. (2009),” Mining E-mail to Leverage Knowledge Networks in Organizations”, Proceedings of 10th European Conference on Knowledge Management and Evaluation, Universit� Degli Studi Di Padova, Vicenza, Italy.
  • Tedmori, S. and Jackson, T.W. (2009),”Assessing the Value of an Email Knowledge Extraction System”, Knowledge and Process Management, Vol 16, No. 2, pp. 65-73.
  • Lichtenstein, S., Tedmori, S., and Jackson, T.W. (2008) “Socio-ethical Issues for Expertise Location from Electronic Mail”, International Journal of Knowledge and Learning , Vol. 4, No.1 pp. 58 - 74
  • Tedmori, S., Lichtenstein, S. and Jackson, T.W. (2007), ''Expertise Location Using Keyphrases in Electronic Mail: Socioethical Challenges'', Proceedings of the Australian Conference for Knowledge Management & Intelligent Decision Support, Melbourne, Australia.
  • Tedmori, S., Jackson, T.W., Bouchlaghem, N.M. and Newcombe, M. (2007), ''Information Seeking and Sharing Behaviour of a UK Police Force'', Proceedings of the Eighth European Conference on Knowledge Management, Barcelona, Spain, pp. 982 - 988.
  • Tedmori, S., Jackson, T.W. and Bouchlaghem, N.M. (2007), ''Optimising the Email Knowledge Extraction System to Support Knowledge Work'', Proceedings of the 15th European Conference on Information Systems, St Gallen, Switzerland, pp. 681-691.
  • Tedmori, S., Jackson, T.W. and Bouchlaghem, N.M. (2007), ''The Email Knowledge Extraction (EKE) System: Discovering the Limitations of Natural Language Processing'', Proceedings of the 15th International Software Quality Management, Stafford, UK.
  • Tedmori, S., Jackson, T.W. and Bouchlaghem, D.,(2006) ''Locating Knowledge Sources Through Keyphrase Extraction'', Knowledge and Process Management, vol. 13, no. 2, pp. 100-107.
  • Tedmori, S., Jackson, T.W., Bouchlaghem, N.M. and Nagaraju, R.(2006), ''Expertise Profiling: Is Email Used to Generate, Organise, Share or Leverage Knowledge'', Proceedings of the 11th International Conference on Computing in Civil and Building Engineering, ed. H. Rivard, Quebec, Canada, pp. 179.
  • Tedmori, S., Jackson, T.W., Bouchlaghem, D., Adelmann, H. and Nagaraju, R. (2006). ''Building a Tool for Expertise Discovery'', Information Resources Management Association Conference, ed. M. Khosrow-Pour, Idea Group Publishing, Washington, pp.1053.
  • Tedmori, S. M., Jackson, T.W., EKE: A Tool For Email Knowledge Extraction, Postgraduate Research Conference in Electronics, Photonics, Communications and Networks, and Computing Science conference (PREP 2005), Lancaster, UK, April 2005.
  • Jackson, T.W. & Tedmori, S. (2004).''Capturing and Managing Electronic Knowledge: The Development of the Email Knowledge Extraction'', The International Resource Management Association Conference, Idea Group, New Orleans, USA, May 2004, pp. 463-466.