Curriculum Vitae

Education

• Ph.D in Computer Science, Wright State University, 2019
• M.S. in Computer Science, the University of Toledo, 2014
• B.S. in Computer Science, German Jordanian University, 2012

Recent Work experience

• 03/2022 - now: Senior Applied Researcher
  • PointClickCare
• 01/2020 - 03/2022: Senior NLP Scientist
  • Tempus Labs Inc.
• 08/2015 - 12/2019: Graduate Researcher
  • Kno.e.sis Center, Wright State University
  • Duties included: Leading HazardSEES NSF project.
• 05/2018 - 08/2018: NLP Research Intern
  • 3M Health Information Systems
  • Duties included: R&D of Active Learning solution for Computer Assisted Medical Coding. Worked as part of the NLP scrum team of the Clinical Discovery Engine.
• 05/2017 - 08/2017: NLP Research Intern
  • Maana Inc
  • Duties included: R&D of Active-learning-based information extraction inside Maana™.

Publications

Natural language processing-optimized case selection for real-world evidence studies

Jacob Koskimaki, Jenny Hu, Yiduo Zhang, Jose Mena, Nehanda Jones, Elizabeth Lipschultz, Vivek Prabhakar Vaidya, Gabriel Altay, Vance Andrei Erese, Krishna Kumar Swaminathan, Emma Mendonca, Tarun Dutt, Kuldeep Singh, Tian King, Vinay Phani Santosh Lakkimsetty, Hussein Al-Olimat, Brittany Manning, George Anthony Komatsoulis, Simon Chu, and Jeff Ottens. Natural language processing-optimized case selection for real-world evidence studies. Journal of Clinical Oncology 2022 40:16_suppl, 1556-1556

GazPNE Annotation-free Deep Learning for Place Name Extraction from Microblogs Leveraging Gazetteer and Synthetic Data by Rules

Hu, Xuke, Hussein S. Al-Olimat, Jens Kersten, Matti Wiegmann, Friederike Klan, Yeran Sun, and Hongchao Fan. GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rules. International Journal of Geographical Information Science 36, no. 2 (2022): 310-337.

Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials

Laura Sachse, Smriti Dasari, Marc Ackermann, Emily Patnaude, Stephanie OLeary, Hussein Al-Olimat, Alexander Grigorenko, Andrew Stewart, AnnaJane Ward, Annie Darmofal, Sowmya Ballakur, William Bennett, Amy Franzen, Sibel Blau, Abhinav Binod Chandra, Petros Nikolinakos, James Michael Orsini, Julio Antonio Peguero, Kimberly L. Blackwell, and Matthew M. Cooney. Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. Journal of Clinical Oncology 2021 39:15_suppl, e13588-e13588

Knowledge-enabled Entity Extraction

Al-Olimat, Hussein "Knowledge-enabled Entity Extraction." Electronic Dissertation. Wright State University, 2019. https://etd.ohiolink.edu/

Towards Geocoding Spatial Expressions (Vision Paper)

Hussein S. Al-Olimat, Valerie Shalin, Krishnaprasad Thirunarayan, and Joy Prakash Sain. 2019. Towards Geocoding Spatial Expressions (vision paper). In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3347146.3359356

A Pipeline for Disaster Response and Relief Coordination

Maneriker, Pranav, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan Kubatko, Desheng Liu et al. A Pipeline for Disaster Response and Relief Coordination. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1337-1340. ACM, 2019.

Machine assisted learning of entities

Elkholy, Alexander Hussam, Balasubramanian Kandaswamy, Steven Matt Gustafson, and Hussein S. Al-Olimat. Machine assisted learning of entities. U.S. Patent Application 10/242,320, filed March 26, 2019.

D-record: Disaster Response and Relief Coordination Pipeline

Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth, and Srinivasan Parthasarathy. 2018. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities (ARIC'18), Bandana Kar, Olufemi A. Omitaomu, Shima Mohebbi, and Guangtao Fu (Eds.). ACM, New York, NY, USA, 13-16. DOI: https://doi.org/10.1145/3284566.3284572

A Practical Incremental Learning Framework For Sparse Entity Extraction

Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay, Krishnaprasad Thirunarayan, and Amit Sheth. 2018. A practical incremental learning framework for sparse entity extraction. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 700–710. Association for Computational Linguistics.

Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models

Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, and Amit Sheth. 2018. Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pages 1986–1997. Association for Computational Linguistics.

Feature engineering for twitter-based applications

Wijeratne, Sanjaya, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, and Krishnaprasad Thirunarayan. "Feature engineering for twitter-based applications." Feature Engineering for Machine Learning and Data Analytics (2017): 35.

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, and Amit Sheth. 2017. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM '17), Jana Diesner, Elena Ferrari, and Guandong Xu (Eds.). ACM, New York, NY, USA, 1191-1198.

Optimizing cloudlet scheduling and wireless sensor localization using computational intelligence techniques

Al-Olimat, Hussein "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques." Electronic Thesis or Dissertation. University of Toledo, 2014. https://etd.ohiolink.edu/

Talks

Towards Geocoding Spatial Expressions (Vision Paper)

November 06, 2019

Conference Talk at In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19), Chicago, IL, USA

A Practical Incremental Learning Framework For Sparse Entity Extraction

August 20, 2018

Conference Talk at COLING 2018 - the 27th International Conference on Computational Linguistics, Santa Fe, NM, USA

Location Extraction and Georeferencing in Social Media: Challenges, Techniques, and Applications

May 20, 2018

Conference Tutorial at ISCRAM 2018 - 15th Annual Conference for Information Systems for Crisis Response and Management, Rochester, NY, USA

Geosemantics

October 05, 2017

Class Lecture at Wright State University, Advanced Semantic Web class., Dayton, OH

Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques

June 17, 2014

Defense Talk at EECS Department, The University of Toledo, Toledo, OH, USA

Service

• Program committee member: ACL, EMNLP, The Web Conference (previously, WWW), and others