Abbas Akkasi

Abbas Akkasi

He/Him

PhD-level AI scientist specializing in Generative AI, NLP, and Applied Machine Learning.

Publications — Abbas Akkasi

Selected Publications

Peer-Reviewed Journal Articles

  • Zarei, M. R., Akkasi, A., & Komeili, M. (2025). Dual Adapter Tuning of Vision–Language Models Using Large Language Models. International Journal of Computational Intelligence Systems, 18(1), 109. Springer.
  • Akkasi, A. (2024). Job description parsing with explainable transformer-based ensemble models to extract the technical and non-technical skills. Natural Language Processing Journal, 9, 100102. https://doi.org/10.1016/j.nlp.2024.100102
  • Akkasi, A., & Snajder, J. (2021). Word sense induction using leader-follower clustering of automatically generated lexical substitutes. Expert Systems with Applications, 181, 115162.
  • Akkasi, A., & Moens, M.-F. (2021). Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey. Journal of Biomedical Informatics, 119, 103820.
  • Moons, E., Khanna, A., Akkasi, A., & Moens, M.-F. (2020). A comparison of deep learning methods for ICD coding of clinical records. Applied Sciences, 10(15), 5262.
  • Akkasi, A., & Varoğlu, E. (2019). Improvement of chemical named entity recognition through sentence-based random under-sampling and classifier combination. Journal of AI and Data Mining, 7(2), 311–319.
  • Akkasi, A., Varoğlu, E., & Dimililer, N. (2018). Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text. Applied Intelligence, 48(8), 1965–1978.
  • Akkasi, A., & Varoğlu, E. (2016). Improving biochemical named entity recognition using PSO classifier selection and Bayesian combination methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(6), 1327–1338.
  • Akkasi, A., Varoğlu, E., & Dimililer, N. (2016). ChemTok: A new rule-based tokenizer for chemical named entity recognition. BioMed Research International, 2016, Article 4248026.
  • Harounabadi, M., Mitschele-Thiel, A., & Akkasi, A. (2018). LTE-D2D for connected cars: a survey on radio resource management schemes. Iran Journal of Computer Science, 1(3), 187–197.
  • Akkasi, A. (2018). Sentence-based undersampling for named entity recognition using genetic algorithm. Iran Journal of Computer Science, 1(3), 165–174. DOI: 10.1007/s42044-018-0014-5.
  • Zarezade, S., Akkasi, A., Maher, A., & Namdar, Y. (2015). Recognition of Farsi letter using Hidden Markov Model. International Journal of Computer Applications, 125(1).
  • Asadi, M. H., Akkasi, A., Zargarpour, E., & Mohammdi, Z. (2015). Diagnosis of mathematical symbols using Hidden Markov Model. International Journal of Computer Applications, 125(1).
  • Sattari, S., Akkasi, A., Lari, R. A., & Khodaparasti, M. (2015). Cryptography in social networks using wavelet transform, fractals and chaotic functions. International Research Journal of Applied and Basic Sciences, 1627–1635.
  • Pishdar, M. A., & Akkasi, A. (2015). Task scheduling and idle-time balancing in homogeneous multiprocessors: A comparison between GA and SA. International Journal of Computer Applications, 123(13).
  • Akkasi, A., & Zeinaly, M. A. (2015). Visualizing operating systems and Markov models. International Journal of Computer Applications, 119(24).

Conference & Workshop Proceedings

  • Kevadiya, R., Akkasi, A., Fraser, K. C., Vukovic, B., Gunnell, J., Tanguay, S., & Komeili, M. (2025). Generalized Follow-Up WHODAS 2.0 Assessment Through Language Models and Adaptive Clustering Ensemble in Higher Education. In Proceedings of the 18th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '25), 349–358. https://doi.org/10.1145/3733155.3734900
  • Akkasi, A., Khan, A., Shaaban, M. A., Komeili, M., & Yaqub, M. (2024). iML at SemEval-2024 Task 2: Safe biomedical natural language inference for clinical trials with LLM-based ensemble inferencing. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 170–174.
  • Akkasi, A., Fraser, K. C., & Komeili, M. (2023). Reference-free summarization evaluation with large language models. In Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 193–201.
  • Akkasi, A. (2022). Multi-perspective scientific document summarization with graph attention networks (GATS). In Proceedings of the Third Workshop on Scholarly Document Processing, 268–272.
  • Gluhak, M., Di Buono, M. P., Akkasi, A., Šnajder, J., et al. (2018). TakeLab at SemEval-2018 Task 7: Combining sparse and dense features for relation classification in scientific texts. In Proceedings of the 12th Workshop on Semantic Evaluation (SemEval-2018).
  • Akkasi, A., Shams, F., et al. (2008). Presenting a method for benchmarking application in the enterprise architecture planning process based on federal enterprise architecture framework. In 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, 1–6. IEEE.
  • Akkasi, A., Khaleghi, A., Jafarabad, M., Karimi, H., Demideh, M. B., & Alamuti, R. N. (2014). The proposal of giving two receipts for voters to increase the security of electronic voting. In Computer Science & Information Technology (CS & IT) Conference Proceedings.

Preprints / Under Review

  • Khan, A., Choubineh, A., Shaaban, M. A., Akkasi, A., & Komeili, M. (2025). TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment. arXiv preprint arXiv:2504.04722.
  • Shaaban, M. A., Akkasi, A., Khan, A., Komeili, M., & Yaqub, M. (2024). Fine-tuned large language models for symptom recognition from Spanish clinical text. arXiv preprint arXiv:2401.15780.
  • Dastjerdi, M. M. H., et al. (2025). End-to-End Semantically Aware Tactile Generation. Intelligent Systems With Applications (under review).

Thesis / Dissertation

  • Akkasi, A. (2016). Chemical Named Entity Recognition using Undersampling and Classifier Ensembles. Eastern Mediterranean University (Ph.D. dissertation).
--- layout: archive title: "" permalink: /publications/ author_profile: true --- Publications — Abbas Akkasi

Selected Publications

Peer-Reviewed Journal Articles

  • Zarei, M. R., Akkasi, A., & Komeili, M. (2025). Dual Adapter Tuning of Vision–Language Models Using Large Language Models. International Journal of Computational Intelligence Systems, 18(1), 109. Springer.
  • Akkasi, A. (2024). Job description parsing with explainable transformer-based ensemble models to extract the technical and non-technical skills. Natural Language Processing Journal, 9, 100102. https://doi.org/10.1016/j.nlp.2024.100102
  • Akkasi, A., & Snajder, J. (2021). Word sense induction using leader-follower clustering of automatically generated lexical substitutes. Expert Systems with Applications, 181, 115162.
  • Akkasi, A., & Moens, M.-F. (2021). Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey. Journal of Biomedical Informatics, 119, 103820.
  • Moons, E., Khanna, A., Akkasi, A., & Moens, M.-F. (2020). A comparison of deep learning methods for ICD coding of clinical records. Applied Sciences, 10(15), 5262.
  • Akkasi, A., & Varoğlu, E. (2019). Improvement of chemical named entity recognition through sentence-based random under-sampling and classifier combination. Journal of AI and Data Mining, 7(2), 311–319.
  • Akkasi, A., Varoğlu, E., & Dimililer, N. (2018). Balanced undersampling: a novel sentence-based undersampling method to improve recognition of named entities in chemical and biomedical text. Applied Intelligence, 48(8), 1965–1978.
  • Akkasi, A., & Varoğlu, E. (2016). Improving biochemical named entity recognition using PSO classifier selection and Bayesian combination methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(6), 1327–1338.
  • Akkasi, A., Varoğlu, E., & Dimililer, N. (2016). ChemTok: A new rule-based tokenizer for chemical named entity recognition. BioMed Research International, 2016, Article 4248026.
  • Harounabadi, M., Mitschele-Thiel, A., & Akkasi, A. (2018). LTE-D2D for connected cars: a survey on radio resource management schemes. Iran Journal of Computer Science, 1(3), 187–197.
  • Akkasi, A. (2018). Sentence-based undersampling for named entity recognition using genetic algorithm. Iran Journal of Computer Science, 1(3), 165–174. DOI: 10.1007/s42044-018-0014-5.
  • Zarezade, S., Akkasi, A., Maher, A., & Namdar, Y. (2015). Recognition of Farsi letter using Hidden Markov Model. International Journal of Computer Applications, 125(1).
  • Asadi, M. H., Akkasi, A., Zargarpour, E., & Mohammdi, Z. (2015). Diagnosis of mathematical symbols using Hidden Markov Model. International Journal of Computer Applications, 125(1).
  • Sattari, S., Akkasi, A., Lari, R. A., & Khodaparasti, M. (2015). Cryptography in social networks using wavelet transform, fractals and chaotic functions. International Research Journal of Applied and Basic Sciences, 1627–1635.
  • Pishdar, M. A., & Akkasi, A. (2015). Task scheduling and idle-time balancing in homogeneous multiprocessors: A comparison between GA and SA. International Journal of Computer Applications, 123(13).
  • Akkasi, A., & Zeinaly, M. A. (2015). Visualizing operating systems and Markov models. International Journal of Computer Applications, 119(24).

Conference & Workshop Proceedings

  • Kevadiya, R., Akkasi, A., Fraser, K. C., Vukovic, B., Gunnell, J., Tanguay, S., & Komeili, M. (2025). Generalized Follow-Up WHODAS 2.0 Assessment Through Language Models and Adaptive Clustering Ensemble in Higher Education. In Proceedings of the 18th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '25), 349–358. https://doi.org/10.1145/3733155.3734900
  • Akkasi, A., Khan, A., Shaaban, M. A., Komeili, M., & Yaqub, M. (2024). iML at SemEval-2024 Task 2: Safe biomedical natural language inference for clinical trials with LLM-based ensemble inferencing. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 170–174.
  • Akkasi, A., Fraser, K. C., & Komeili, M. (2023). Reference-free summarization evaluation with large language models. In Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 193–201.
  • Akkasi, A. (2022). Multi-perspective scientific document summarization with graph attention networks (GATS). In Proceedings of the Third Workshop on Scholarly Document Processing, 268–272.
  • Gluhak, M., Di Buono, M. P., Akkasi, A., Šnajder, J., et al. (2018). TakeLab at SemEval-2018 Task 7: Combining sparse and dense features for relation classification in scientific texts. In Proceedings of the 12th Workshop on Semantic Evaluation (SemEval-2018).
  • Akkasi, A., Shams, F., et al. (2008). Presenting a method for benchmarking application in the enterprise architecture planning process based on federal enterprise architecture framework. In 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, 1–6. IEEE.
  • Akkasi, A., Khaleghi, A., Jafarabad, M., Karimi, H., Demideh, M. B., & Alamuti, R. N. (2014). The proposal of giving two receipts for voters to increase the security of electronic voting. In Computer Science & Information Technology (CS & IT) Conference Proceedings.

Preprints / Under Review

  • Khan, A., Choubineh, A., Shaaban, M. A., Akkasi, A., & Komeili, M. (2025). TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment. arXiv preprint arXiv:2504.04722.
  • Shaaban, M. A., Akkasi, A., Khan, A., Komeili, M., & Yaqub, M. (2024). Fine-tuned large language models for symptom recognition from Spanish clinical text. arXiv preprint arXiv:2401.15780.
  • Dastjerdi, M. M. H., et al. (2025). End-to-End Semantically Aware Tactile Generation. Intelligent Systems With Applications (under review).

Thesis / Dissertation

  • Akkasi, A. (2016). Chemical Named Entity Recognition using Undersampling and Classifier Ensembles. Eastern Mediterranean University (Ph.D. dissertation).

Books

  • Book cover
    Startup Competitions – Encyclopedia of Iranian Startups: Introduction to 100,000 Online Businesses (2 Volumes) [in Farsi]
    Authors: Dr. MohammadReza Kangavari, Dr. Mohammad Jafarabad, Abbas Akkasi, Dr. Amir Mohammad Gholamian, Dr. Mahdi Moghimi
    Published by: Atinegar Publication, Iran, 2023