Engr. Dr. Ali Zeeshan Ijaz

Dr. Ali Zeeshan Ijaz
Faculty Lobby

Engr. Dr. Ali Zeeshan Ijaz

Assistant Professor

Qualifications: Ph.D, Western Sydney University, Australia
Research Interests: Bioinformatics, Data Science, Data Analysis, Operating Systems, NLP, Machine Learning

Work Experience

Postgraduate Researcher – University of Helsinki, Finland

Researcher – Korea Institute of Science and Technology Information, South Korea

Lecturer – FAST Nucles, Islamabad, Pakistan


Tolonen, M., Hill, M. J., Ijaz, A., Lahti, L., & Vaara, V. (2020). Examining the Early Modern Canon: The English Short Title Catalogue and Large-Scale Patterns of Cultural Production. In Data Visualization in Enlightenment Literature and Culture. Palgrave Macmillan.

Ijaz, A., Tolonen, M., & Lahti, L. (2019). Analytical determination of editions from bibliographic metadata. In: Jantunen, J. H. et al. (eds.). Proceedings of the Research data and humanities (RDHUM) 2019 conference: data, methods and tools. Studia Humaniora Ouluensia 17. Oulu: University of Oulu. 919. http://urn.fi/urn:isbn:9789526223216

Ijaz, A., Lahti, L., & Roivainen, H. (2019). Analytical edition detection in bibliographic metadata. In DH2019: ADHO annual digital humanities conference.

Tolonen, M., Lahti, L., Vaara, V., & Ijaz, A. (2019). Emerging Paradigm of Bibliographic Data Science. In DH2019: ADHO annual digital humanities conference.

Lahti, L., Vaara, V., Marjanen, J., Roivainen, H., Ijaz, A., Hengchen, S., Tiihonen, I., Säily, T., Kanner, A., Hill, M. J., Mäkelä, E., & Tolonen, M. (2018). Quantitative analysis of public discourse in Europe 1470-1910. Digital Humanities Benelux (DH Benelux 2018), Amsterdam, Netherlands, 06/06/2018 – 08/06/2018.

Jeffries, T. C., Rayu, S., Nielsen, U. N., Lai, K., Ijaz, A., Nazaries, L., & Singh, B. K. (2018). Metagenomic Functional Potential Predicts Degradation Rates of a Model Organophosphorus Xenobiotic in Pesticide Contaminated Soils. Frontiers in microbiology, 9, 147. https://doi.org/10.3389/fmicb.2018.00147 [Frontiers in Microbiology, Impact Factor 4.076]

Ijaz, A. Z., Jeffries, T. C., Ijaz, U. Z., Hamonts, K., & Singh, B. K. (2017). Extending SEQenv: a taxa-centric approach to environmental annotations of 16S rDNA sequences. PeerJ, 5, e3827. doi:10.7717/peerj.3827 [PeerJ, Impact Factor 2.38]

Sinclair, L., Ijaz, U.Z., Jensen, L.J., Coolen, M.J., Gubry-Rangin, C., Chroňáková, A., Oulas, A., Pavloudi, C., Schnetzer, J., Weimann, A. and Ijaz, A., 2016. Seqenv: linking sequences to environments through text mining. PeerJ4, p.e2690.

[PeerJ, Impact Factor 2.38]

Ali Z. Ijaz, Min Song, Doheon Lee: MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledge. BMC Bioinformatics 11(S-2): 3 (2010) [BMC Bioinformatics, Impact Factor 3.242]

 Ali Z. Ijaz, Min Song, Doheon Lee: MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge. DTMBIO 2009: 51-58


PhD in Bioinformatics – Western Sydney University, Australia – 2013-2018

MS in Bioinformatics – Korea Advanced Institute of Science and Technology – 2007-2009

BS in Computer System Engineering – GIK Institute of Engineering Sciences and Technology – 2002-2006