Research

Has published 25 journal papers, 41conference papers, a book, a book chapter, and several technical reports and newspaper articles. Areas span machine learning, Arabic language processing, data analytics, electronic voting, shared memory systems, parallel applications and systems characterization, computer architecture, and computer networks. Google Scholar reports over 1400 citations for these publications with h-index of 22.

Journal Articles

  • Zaid Alkilani, G. Abandah, and Y. Al-Zain, “AI-Enhanced UAV Clusters for Search and Rescue in Natural Disasters,” Algorithms, Vol. 19, No. 1, https://doi.org/10.3390/a19010031, Jan 2026, Article No. 31.
  • Abandah, M. Khaleel, I. Jafar, M. Abdel-Majeed, Y. Hamdan, A. Suyyagh, A. Abdel-Karim, S. AlAwawdeh, “Jordanian Arabic to Modern Standard Arabic Translation Using a Large Model Tuned on a Purpose-Built Dataset and Synthetic Error Injection,” Jordanian Journal of Computers and Information Technology (JJCIT), Vol. 11, No. 3, Sep 2025, pp. 319-335.
  • Alzuheiri, H. Adwan, G. Abandah, and Y. Hamdan, “Converting Colloquial to Classical Arabic as within the Project Developing Applications to Correct Jordanian Spoken Arabic to Proper Language Using Machine Learning Techniques,” International Journal on Islamic Applications in Computer Science and Technology (IJASAT), Link, Vol. 12, No. 4, Dec 2024.
  • Saddar, R. Saddar, G. Abandah, I. Jafar, “Multi-Domain Machine Learning Approach of Named Entity Recognition for Arabic Booking Chatbot Engines Using Pre-Trained Bidirectional Transformers,” The Jordanian Journal of Computers and Information Technology (JJCIT), Vol. 10, No. 1, DOI: 10.5455/jjcit.71-1694435791, Mar 2024, pp. 1-16.
  • Abandah, A. Suyyagh, M. Abdel-Majeed, “Transfer learning and multi-phase training for accurate diacritization of Arabic poetry”, Journal of King Saud University – Computer and Information Sciences, Vol. 34, No. 6, Part B, https://doi.org/10.1016/j.jksuci.2022.04.005, June 2022, pp. 3744-3757.
  • Abandah, M. Khedher, M. Abdel-Majeed, H. Mansour, S. Hulliel, L. Bisharat, “Classifying and diacritizing Arabic poems using deep recurrent neural networks”, Journal of King Saud University – Computer and Information Sciences, Vol. 34, No. 6, Part B, https://doi.org/10.1016/j.jksuci.2020.12.002, June 2022, pp. 3775-3788.
  • Abandah, A. Suyyagh, M. Khedher, “Correcting Arabic soft spelling mistakes using BiLSTM-based machine learning”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 5, May 2022, pp. 815-829. http://dx.doi.org/10.14569/IJACSA.2022.0130594.
  • Abdel-Karim and G. Abandah, “On the Training of Deep Neural Networks for Automatic Arabic-Text Diacritization”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 12, No. 8, Aug 2021, pp. 276-286, https://doi.org/10.14569/IJACSA.2021.0120832.
  • Abandah and A. Abdel-Karim, “Accurate and Fast Recurrent Neural Network Solution for the Automatic Diacritization of Arabic Text”, The Jordanian Journal of Computers and Information Technology (JJCIT), Vol. 6, No. 2, Jun 2020, pp. 103-121, https://www.proquest.com/scholarly-journals/accurate-fast-recurrent-neural-network-solution/docview/2672361995/se-2.
  • Saadeh and G. Abandah, “Parallel Implementations of S-Vote Electronic Voting Verification and Tallying Processes”, Int’l Journal of Computers And Communications, Vol. 11, 2017, pp. 106-115.
  • Mohammed and G. Abandah, “Characterization of Shared-Memory Multi-Core Applications”, Jordanian Journal of Computers and Information Technology (JJCIT), Vol. 1, No.2, Apr 2016, pp. 37-54.
  • Al-Haj, G. Abandah, and N. Hussein, “Crypto-based Algorithms for Secured Medical Image Transmission,” IET Information Security, Vol. 9, No. 6, Nov 2015, pp. 365-373, DOI: 10.1049/iet-ifs.2014.0245.
  • G. Abandah, A. Graves, B. Al-Shagoor, A. Arabiyat, F. Jamour, and M. Al-Taee, “Automatic diacritization of Arabic text using recurrent neural networks,” Int’l Journal on Document Analysis and Recognition (IJDAR), Springer, Vol. 18, No. 2, Jun 2015, pp. 183-197, DOI: 10.1007/s10032-015-0242-2. pdf.
  • T. Wahdan, G. Abandah, A. Seyam, A. Awwad, I. Shdaifat, “Tire type recognition through treads pattern recognition and DOT Code OCR,” Ubiquitous Computing and Communication Journal (UBICC), Vol. 9, No. 1, Feb 2015, pp. 1481-1487.
  • Suyyagh and G. Abandah, “FPGA parallel recognition engine for handwritten Arabic words,” Journal of Signal Processing Systems, Springer, Vol. 78, No. 2, Feb 2015, pp. 163-170.
  • G. Abandah, F. Jamour, and E. Qaralleh, “Recognizing handwritten Arabic words using grapheme segmentation and recurrent neural networks,” Int’l Journal on Document Analysis and Recognition (IJDAR), Springer, Vol. 17, No. 3, Sep 2014, pp. 275-291. pdf.
  • G. Abandah, K. Darabkh, T. Ammari, and O. Qunsul, “Secure national electronic voting system,” Journal of Information Science and Engineering, The Institute of Information Science, Vol. 30, No. 5, pp. 1339-1364, Sep 2014.
  • G. Abandah and F. Jamour, “A word matching algorithm in handwritten Arabic recognition using multiple-sequence weighted edit distances,” International Journal of Computer Science Issues (IJCSI), SoftwareFirst, Vol. 11, No. 3, May 2014, pp. 18-26.
  • Qaralleh, G. Abandah, and F. Jamour, “Tuning recurrent neural networks for recognizing handwritten Arabic words,” Journal of Software Engineering and Applications, Scientific Research Publishing, Vol. 6, No. 10, Oct 2013, pp. 533-542.
  • Darabkh, I. Iyad Jafar, G. Sukkar, G. Abandah, and R. Al-Zubi, “An improved queuing model for packet retransmission policy and variable latency decoders,” IET Communications., Vol. 6, No. 18, IET, Dec 2012, pp. 3315-3328.
  • G. Abandah and T. Malas, “Feature Selection for Recognizing Handwritten Arabic Letters,” Dirasat Engineering Sciences Journal, The University of Jordan, Vol. 37, No. 2, Oct 2010, pp. 242-256, pdf.
  • G. Abandah and M. Khedher, “Analysis of Handwritten Arabic Letters Using Selected Feature Extraction Techniques,” Int’l J. of Computer Processing of Languages (IJCPOL), Vol. 22, No. 1, World Scientific, Mar 2009, pp. 49-73, pdf.
  • G. Abandah and N. Anssari, “Novel Moment Features Extraction for Recognizing Handwritten Arabic Letters,” J. of Computer Science, Vol. 5, No. 3, Science Publications, Mar 2009, pp. 226-232.
  • G. Abandah and F. Khundakjie, “Issues Concerning Code System for Arabic Letters,” Dirasat Engineering Sciences Journal, Vol. 31, No. 1, The University of Jordan, Apr 2004, pp 165-177.
  • G. Abandah and E. Davidson, “Characterizing Distributed Shared Memory Performance: A Case Study of the Convex SPP1000,” IEEE Trans. Parallel and Distributed Systems, Vol. 9, No. 2, IEEE, Feb 1998, pp 206-216.

Conference Papers

  • N. Huj-Abdulla, S. Soares, J. Carvalho, G. Abandah, and M. Reis, “A Hybrid Deep Learning and Watermarking Framework for Secure Image Forensics,” Int’l Conf. on Networks, Computers and Communications, Jul 2026.
  • Otoum, G. Abandah, and M. Abdel-Majeed, “A Dual-Task Large Language Model for Adding Diacritics and Translating Jordanian Arabic to Modern Standard Arabic,” 2025 Asian Conference on Communication and Networks, Dec 2025.
  • Khaleel, G. Abandah, and M. Alkhatib, “Zero-Shot Retrieval Augmented Generation for Arabic Trivia Question Answering,” 2025 Int’l Conf. on Engineering and Computing Technologies (EngiTek 2025), Gold Paper Award, Dec 2025.
  • Khaleel and G. Abandah, “Efficient Stochastic Error Injection for Optimizing Large Language Models in Arabic Spelling Correction,” 2025 Int’l Conf. on New Trends in Computing Sciences (ICTCS), Apr 2025.
  • Aljaber and G. Abandah, “Automatic Diacritization of Arabic Text and Poetry Using Pretrained Byte-to-Byte Language Models and Multiphase Training,” 2025 1st Int’l Conf. on Computational Intelligence Approaches and Applications (ICCIAA), Apr 2025.
  • Alsaweir and G. Abandah, “Accurate Jordanian Arabic Dialect Text Recognition Using the ByT5 Pre-trained Language Model,” 2025 1st Int’l Conf. on Computational Intelligence Approaches and Applications (ICCIAA), Apr 2025.
  • Hindi and G. Abandah, “Improving Arabic Dialect Text Classification by Finetuning a Pretrained Token-free Large Language Model,” 2025 1st Int’l Conf. on Computational Intelligence Approaches and Applications (ICCIAA), Apr 2025.
  • Alzuheiri, H. Adwan, G. Abandah, and Y. Hamdan, “Converting Colloquial to Classical Arabic as within the Project Developing Applications to Correct Jordanian Spoken Arabic to Proper Language Using Machine Learning Techniques,” 12th International Conference on Islamic Applications in Computer Science and Technologies, Dec 2024.
  • Smadi and G. Abandah, “Correcting Auditory Spelling Mistakes in Jordanian Dialect Using Machine Learning Techniques,” 2024 15th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan, Aug 2024, pp. 1-6, doi: 10.1109/ICICS63486.2024.10638311.
  • Hasan and G. Abandah, “Correcting Wide-range of Arabic Spelling Mistakes Using Machine Learning and Transformers,” 2023 International Conference on Information Technology (ICIT), Aug 2023.
  • Al-Rfooh, G. Abandah, and R. Al-Rfou, “’Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization,” in Proc. 2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, May 2023.
  • O. Bani Khaled and, G. A. Abandah, “Analyzing and Forecasting the Weather Conditions in Jordan Using Machine Learning Techniques,” in Proc. 2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, May 2023.
  • Al-Fetyani, M. AlBarham, G. A. Abandah, A. Alsharkawi, and M. Dawas, “MASC: Massive Arabic Speech Corpus,” in Proc. 2023 IEEE Spoken Language Technology Workshop (SLT), 2023.
  • E. Shtaiwi, G. A. Abandah, and S. Sawalhah, “End-to-End Machine Learning Solution for Recognizing Handwritten Arabic Documents,” in Proc. The 13th International Conference on Information and Communication Systems, 2022.
  • Al-Qaraghuli, G. A. Abandah, and A. E. Suyyagh, “Correcting Arabic Soft Spelling Mistakes Using Transformers,” in Proc. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 2021.
  • M. Albaddawi and G. A. Abandah, “Pattern and Poet Recognition of Arabic Poems Using BiLSTM Networks,” in Proc. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 2021.
  • K. Samara and G. A. Abandah, “Investigating Fast BiLSTM Neural Networks for Arabic Language Applications,” in Proc. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 2021.
  • N. Almajdoubah, G. A. Abandah, and A. E. Suyyagh, “Investigating Recurrent Neural Networks for Diacritizing Arabic Text and Correcting Soft Spelling Mistakes,” in Proc. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 2021.
  • M. AlAwawdeh and G. A. Abandah, “Improving the Accuracy of Semantic Similarity Prediction of Arabic Questions Using Data Augmentation and Ensemble,” in Proc. 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 2021.
  • A. Abandah and A. S. Al-Hourani, “Challenges and Preprocessing Recommendations for MADCAT Dataset of Handwritten Arabic Documents,” 2018 11th Int’l Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2018), Oct 11-13, 2018, Beijing, China. (pdf)
  • Saadeh, G. Abandah, “Investigating Parallel Implementations of Electronic Voting Verification and Tallying Processes,” European Conf. on Electrical Engineering and Computer Science (EECS 2017), Nov 17-19, 2017, Bern, Switzerland.
  • Alqudah, G. Abandah, A. Arabiyat, “Investigating Hybrid Approaches for Arabic Text Diacritization with Recurrent Neural Networks,” in Proc. 2017 IEEE Jordan Conf. on Applied Electrical Engineering and Computing Technologies (AEECT 2017), Oct 11-13, 2017, Amman, Jordan, pp. 1-6.
  • Al-Haj, N. Hussein, and G. Abandah, “Combining Cryptography and Digital Watermarking for Secured Transmission of Medical Images,” in Proc. 2016 2nd Int’l Conf. on Information Management (ICIM2016), May 7-9, 2016, London, England, pp. 40-46.
  • Khedher, G. Abandah, W. Anati, S. Ababneh, A. Zghoul, M. Hattab, “Effect of Topic on the Arabic Language Used on Social Networks and Mobile Phone Communications,” in Proc. 2015 IEEE Jordan Conf. on Applied Electrical Engineering and Computing Technologies (AEECT 2015), Nov 3-5, 2015, The Dead Sea, Jordan.
  • Mohammed, G. Abandah, “Communication Characteristics of Parallel Shared-Memory Multicore Applications,” in Proc. 2015 IEEE Jordan Conf. on Applied Electrical Engineering and Computing Technologies (AEECT 2015), Nov 3-5, 2015, The Dead Sea, Jordan.
  • G. Abandah, M. Khedher, W. Anati, A. Zghoul, S. Ababneh, M. Hattab, “The Arabic Language Status in the Jordanian Social Networking and Mobile Phone Communications,” in 7th Int’l Conference on Information Technology (ICIT 2015), May 12-15, 2015, Amman, Jordan. (pdf)
  • Wahdan, G. Abandah, A. Seyam, A. Awwad, and I. Shdaifat, “Tire Type Recognition through Treads Pattern Recognition and DOT Code OCR,” in Second Jordanian Student Conference on Communication, Technology, and Management (JITB2014), May 18, 2014, Amman, Jordan.
  • Almasri, G. Abandah, A. Shhadeh, and A. Shahrour, “Universal ISA simulator with soft processor FPGA implementation,” in Proc. 2011 IEEE Jordan Conf. on Applied Electrical Engineering and Computing Technologies (AEECT 2011), Dec 6-8, 2011, Amman, Jordan, pp. 221-226, pdf.
  • Olama, M. Aulama, A. Natsheh, and G. Abandah, “Arabic handwritten optical character recognition using hidden Markov models,” in Proc. 2011 SPIE Defense, Security, and Sensing Multi-conference, Optical Pattern Recognition XXII, Vol. 8055, Apr 28-29, 2011, Orlando, Florida.
  • G. Abandah and F. Jamour, “Recognizing Handwritten Arabic Script through Efficient Skeleton-Based Grapheme Segmentation Algorithm,” in 10th Int’l Conf. on Intelligent Systems Design and Applications (ISDA’10), Nov 29-Dec 1, 2010, Cairo, Egypt, pp. 977-982, pdf.
  • Shaout, G. Abandah, M. Johnson, and S-Y. Chang, “Routing Algorithms for Network-on-Chip in Tile-Based Multiprocessor Templates,” in Proc. Mosharaka Int’l Conf. on Communications, Propagation and Electronics (MIC-CPE 2009), Feb 6-8, 2009, pp. 132-136, Amman, Jordan.
  • Malas, S. Taifour, and G. Abandah, “Toward optimal Arabic keyboard layout using genetic algorithm,” in Proc. 9th Int’l Middle Eastern Simulation Multiconference (MESM 2008), Aug 26-28, 2008, pp. 50-54, Amman, Jordan.
  • Younis, B. Aldawood, G. Abandah, S. Alsisan, and J. Igual, “Automatic wireless monitoring of bird behavior,” in Proc. 10th IASTED Int’l Conf. on Signal and Image Processing (SIP 2008), Aug 18-20, 2008, pp. 511-516, Kailua-Kona, Hawaii, USA.
  • G. Abandah, K. Younis, and M. Khedher, “Handwritten Arabic Character Recognition Using Multiple Classifiers Based on Letter Form,” in Proc. 5th IASTED Int’l Conf. on Signal Processing, Pattern Recognition, and Applications (SPPRA 2008), Feb 13-15, 2008, pp 128-133, Innsbruck, Austria.
  • Khedher, G. Abandah, and A. Al-Khawaldeh, “Optimizing Feature Selection for Recognizing Handwritten Arabic Characters,” in Proc. 2nd World Enformatika Congress (WEC’05), Feb 25-27, 2005, pp 81-84, Istanbul, Turkey.
  • Khedher and G. Abandah, “Arabic Character Recognition using Approximate Stroke Sequence,” Third Int’l Conf. on Language Resources and Evaluation (LREC 2002), Arabic Language Resources and Evaluation – Status and Prospects Workshop, Jun 1, 2002, Las Palmas, Spain.
  • G. Abandah and E. Davidson, “Origin 2000 Design Enhancements for Communication Intensive Applications,” in Proc. 1998 Int’l Conf. on Parallel Architecture and Compilation Techniques (PACT’98), Oct 12-18, 1998, pp 30-39, Paris, France.
  • G. Abandah and E. Davidson, “Effects of Architectural and Technological Advances on the HP/Convex Exemplar’s Memory and Communication Performance,” in Proc. 25th Ann. Int’l Symp. Computer Architecture (ISCA’98), Jun 27-Jul 1, 1998, pp 318-329, Barcelona, Spain.
  • G. Abandah and E. Davidson, “A Comparative Study of Cache-Coherent Nonuniform Memory Access Systems,” in 12th Ann. Int’l Symp. High Performance Computing Systems and Applications (HPCS’98), May 20-22, pp 27, 1998, Edmonton, Canada.
  • G. Abandah and E. Davidson, “Configuration Independent Analysis for Characterizing Shared-Memory Applications,” in Proc. 12th Int’l Parallel Processing Symposium & 9th Symp. On Parallel and Distributed Processing (1998 IPPS/SPDP), Mar 30-Apr 3, 1998, pp 485-491, Orlando, Florida, USA.
  • G. Abandah and E. Davidson, “Modeling the Communication Performance of the IBM SP2,” in Proc. 10th Int’l Parallel Processing Symposium (IPPS’96), Apr 15-19, 1996, pp 249-257, Honolulu, Hawaii, USA.

Books

  • Khedher, W. Anati, G. Abandah, A. Alzgoul, S. Ababneh, and M. Hattab, “Arabic Language in the Social Networking Forums and Mobile Phone Communications”, the Jordan Academy of Arabic, Amman, Jordan, 2015. (pdf)

Book Chapters

  • G. Abandah and E. Davidson, “A Comparative Study of Cache-Coherent Nonuniform Memory Access Systems,” High Performance Computing Systems and Applications, Ed. J. Schaeffer, Kluwer Academic Publishers, pp 267-282, 1998.

Technical Reports

  • G. Abandah, K. Darabkh, T. Ammari, and O. Qunsul, “Secure national electronic voting system: Pilot implementation,” The University of Jordan, Oct 2013, pdf.
  • Suyyagh and G. Abandah, “FPGA Parallel Recognition Engine for Handwritten Arabic Words,” The University of Jordan, August 2013, pdf.
  • G. Abandah and M. Khedher, “Printed and Handwritten Arabic Optical Character Recognition – Initial Study,” A report on research supported by The Higher Council of Science and Technology, Amman, Jordan, Aug 2004.
  • G. Abandah, “Reducing Communication Cost in Scalable Shared Memory Systems,” PhD Dissertation, University of Michigan, 1998.
  • G. Abandah and E. Davidson, “Configuration Independent Analysis for Characterizing Shared-Memory Applications,” Tech. Rep. CSE-TR-357-98, University of Michigan, Jan 1998.
  • G. Abandah, “Characterizing Shared-Memory Applications: A Case Study of the NAS Parallel Benchmarks,” Tech. Rep. HPL-97-24, HP Labs, Jan 1997.
  • G. Abandah, “Tools for Characterizing Distributed Shared Memory Applications,” Tech. Rep. HPL-96-157, HP Labs, Dec 1996.
  • G. Abandah and E. Davidson, “Characterizing Shared Memory and Communication Performance: A Case Study of the Convex SPP-1000,” Tech. Rep. CSE-TR-277-96, University of Michigan, Jan 1996.
  • G. Abandah and E. Davidson, “Modeling the Communication and Computation Performance of the IBM SP2,” Tech. Rep. CSE-TR-258-95, University of Michigan, May 1995.
  • Boyd, G. Abandah, H. Lee, and E. Davidson, “Modeling Computation and Communication Performance of Parallel Scientific Applications: A Case Study of the IBM SP2,” Tech. Rep. CSE-TR-236-95, University of Michigan, May 1995.

Projects

  • Principal Investigator, Developing Applications to Correct Jordanian Spoken Arabic to Proper Language Using Machine Learning Techniques, Supported by Scientific Research and Innovation Support Fund, Jordan, JOD30,100, Mar 2023-Sep 2025. Research Spotlight
  • General Coordinator, Developing Curricula for Artificial Intelligence and Robotics (DeCAIR), Erasmus+ Capacity Building in Higher Education, €850,108, 2021-2024.
  • Co-Investigator, Smart Eco, German Academic Exchange Service (DAAD), 2023-2024.
  • Co-Investigator, Use of Artificial Intelligence and Machine Learning to Detect Dental Problems, Scientific Research and Innovation Support Fund, JOD17,800, 2021-2023.
  • Co-Investigator, Arabic Language in the Social Networking Forums and Mobile Phone Communications, Supported by the Jordan Academy of Arabic, 2013-2014.
  • Principal Investigator, Building a System for Recognizing Arabic Handwritten Scripts, Supported by Deanship of Academic Research, the University of Jordan, Sep 2008-Aug 2010.
  • Principal Investigator, Selecting and Evaluating Features for Recognizing Handwritten Arabic Characters, Supported by Deanship of Academic Research, the University of Jordan, May 2008-Aug 2008.
  • Principal Investigator, Printed and handwritten Arabic optical character recognition – initial study, Supported by Higher Council of Science and Technology, Jul 2000-Apr 2003.

Past Graduate Students