Georges Hattab bio photo


Publications

2024

  • Ezekannagha, C., Anžel, A., Wimbes, L., Staus, L., Heldian, I. T., Sonnabend, D., Elhadri, K., Becker, S., Klein, F., Schön, R., Welzel, M., Schwarz, M., Heider, D., Hattab, G. (2024). A Unified Evaluation Tool for DNA storage Codes. Nature Communications, (in preparation).
  • Köckritz, J., İlgen, B., Cohrdes, C., Hattab, G. (2024). Current Applications and Future Directions in Natural Language Processing for News Media and Mental Health, (submitted).
  • Dubey, A., Yang, Z., Anžel, A., Hattab, G. (2024). Framework for Audience Centric Storytelling and Explainable Artificial Intelligence (FACES), Nature Communications, (in preparation).
  • Schilling, V., Anžel, A., Döllinger, J., Lasch, P., Heider, D., Hattab, G. (2024). Adoption of AI Standards for Improved Peptide Detectability in Computational Proteomics. Artificial Intelligence Review, (submitted).
  • Ferreira, A. P. G., Anžel, A., Ullrich, A., Hattab, G (2024). Advocating the potential of AI for syndrome discovery, The Lancet Public Health, (submitted).
  • Wijaya, A. J., Anžel, A., Richard, H., Hattab, G. (2024). Current State and Future Prospects of Horizontal Gene Transfer Detection, NAR genomics and bioinformatics, (submitted).
  • Esquivel Gomez, L.R, Nadezdha, M., Pfeil, J., Yang, Z., Bütow, S.M., Irrgang, C., Körber, N., Hattab, G., Kühnert, D., Ladewig, K. (2024). Holistic forecasting for future pandemics – a review of pathogens, models, and data. Journal of Epidemiology and Global Health, (submitted).
  • Awotoro, E. O., Ezekannagha, C., Schwarz, F., Tauscher, J., Heider, D., Ladewig, K., Moncoq, K., Miroux, B., Hattab, G. (2024). Bridging the Gap in Membrane Protein Research through Machine Learning, Visualization and Metadata Enrichment of Membrane Protein Structures, Communications Biology, (submitted).
  • İlgen, B., Hattab, G. (2024). Visualizing Evidence through Natural Language Interaction for Public Health Interventions, ACM Natural Language Processing and Information Retrieval (NLPIR), (accepted).
  • Hattab, G., Anžel, A., Dubey, A., Ezekannagha, C., Yang, Z., İlgen, B. (2024). Persona Adaptable Strategies Make Large Language Models Tractable , ACM Natural Language Processing and Information Retrieval (NLPIR), (accepted).
  • İlgen, B., Hattab, G. (2024). A Lexical Simplification Framework for Turkish, ACM Natural Language Processing and Information Retrieval (NLPIR), (accepted).
  • Ferreira, A. P. G., Anžel, A., Ullrich, A., Hattab, G (2024). Explorando o potencial da inteligência artificial na definição de síndromes (Abstract), Anais do Instituto de Higiene e Medicina Tropical, (accepted).
  • Dubey, A., Yang, Z., Hattab, G. (2024). Five P’s of XAI to Enable Human-Centric Trustworthy AI in Public Health (Abstract), Annual Meeting of American Public Health Association (APHA), (accepted).
  • Hattab, G., Irgang, C., Körber, N., Kühnert, D., Ladewig, K. (2024). The Way Forward to Embrace Artificial Intelligence in Public Health, American Journal of Public Health, doi.org/10.2105/AJPH.2024.307888.
  • Dubey, A., Yang, Z., Hattab, G. (2024). AI Readiness in Healthcare Domain with Storytelling XAI, ECAI Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED). ceur-ws.org/Vol-3831.
  • Wehrli, S., Ezekannagha, C., Hattab, G., Boender, T. S., Arnrich, B., Irrgang, C. (2024). Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic, ACL Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA), Association for Computational Linguistics, aclanthology.org/2024.wassa-1.13.
  • Yang, Z., Dai, X., Yang, W., İlgen, B., Anžel, A., Hattab, G. (2024). Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations, Chinese Control Conference (CCC), 10.23919/CCC63176.2024.10662288.
  • Yang, Z., Dong, S., Lederer, A., Dai, X., Chen, S., Sosnowski, S., Hattab, G., Hirche, S. (2024). Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies, IEEE American Control Conference (ACC), 10.23919/ACC60939.2024.10644832.
  • Dubey, A., Yang, Z., Hattab, G. (2024). Nested Model for AI Design and Validation, iScience, doi.org/10.1016/j.isci.2024.110603.
  • Dai, X., Yang, Z., Xu, M., Zhang, S., Liu, F., Hattab, G., & Hirche, S. (2024). Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression, European Journal of Control, doi.org/10.1016/j.ejcon.2024.101058.
  • Weckbecker, M., Anžel, A., Yang, Z., Hattab, G. (2024). Interpretable Molecular Encoding and Representation for Machine Learning Tasks, Computational and Structural Biotechnology, doi.org/10.1016/j.csbj.2024.05.035.
  • Pilic, A., Falman, A., Külper-Schiek, W., Steffen, C., Mosina, L., İlgen, B., Hattab, G., Henaff, L., Harder, T. (2024). SENSE: Stärkung nationaler Impfkommissionen und ihrer evidenzbasierten Entscheidungsprozesse in der WHO-Region Europa und global (Abstract), German Medical Science GMS Publishing House., doi.org/10.3205/24ebm019
  • Yang, Z., Dai, X., Dubey, A., Hirche, S., Hattab, G. (2024). Whom to Trust? Elective Learning for Distributed Gaussian Process Regression, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), doi.org/10.5555/3635637.3663066.

2023

  • İlgen, B., Pilic, A., Harder, T., Hattab, G., (2023). Pre-Training to Identify Immunization-Related Entities from Systematic Reviews, ACM Natural Language Processing and Information Retrieval (NLPIR), doi.org/10.1145/3639233.3639355.
  • Anžel, A., Heider, D., Hattab, G. (2023). Interactive Polar Diagrams for Model Comparison, Computer Methods and Programs in Biomedicine, doi.org/10.1016/j.cmpb.2023.107843.
  • Andrews, R. J., Hattab, G., Marey, É. J., & Wainer, H. (2023). The Graphic Method, CHANCE, doi.org/10.1080/09332480.2023.2290959
  • Weckbecker, M., Neziri, S., Hattab, G. (2023). Supporting Mathematical Education with Interactive Visual Proofs, IEEE VIS Workshop on Visualization for Social Good (VIS4Good), doi.org/10.1109/VIS4Good60218.2023.00011.
  • Yin, Z., Dai, X., Yang, Z., Shen, Y., Hattab, G. , Zhao, H. (2023). Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy, ‌Conference of the IEEE Industrial Electronics Society (IECON), doi.org/10.1109/IECON51785.2023.10312503.
  • Ezekannagha, C., Heider, D., Hattab, G. (2023). DNAsmart: Multiple Attribute Ranking Tool for DNA Data Storage Systems, Computational and Structural Biotechnology, doi.org/10.1016/j.csbj.2023.02.016.
  • Hattab, G., Anžel, A., Spänig, S., Neumann, N., Heider, D. (2023). A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification, NAR genomics and bioinformatics, doi.org/10.1093/nargab/lqac103.

2022

  • Hattab, G., Andrews, R. J., Marey, É. J. (2022). The Graphic Method, La Méthode Graphique, Information Graphic Visionaries, Translated and edited by Hattab, G. Co-edited by Andrews, R. J., Visionary Press. 979-8-9861945-2-3.
  • Hattab, G., (2022). Ten Challenges and Explainable Analogs of growth functions and distributions for statistical literacy and fluency, IEEE VIS Workshop on Visualization for Social Good (VIS4Good), doi.org/10.1109/VIS4Good57762.2022.00006, (Suppl.).
  • Sperlea, T., Heider, D., Hattab, G. (2022). A Theoretical Basis for Bioindication in Complex Ecosystems, Ecological Indicators, doi.org/10.1016/j.ecolind.2022.109050.
  • Ezekannagha, C., Becker, A., Heider, D., Hattab, G. (2022). Design considerations for advancing data storage with synthetic DNA for long-term archiving, Materials Today Bio, doi.org/10.1016/j.mtbio.2022.100306.
  • Kaya, G., Ezekannagha, C., Heider, D., Hattab, G. (2022). Context-Aware Phylogenetic Trees for Phylogeny-based Visualization, Frontiers in Genetics, doi.org/10.3389/fgene.2022.891240.
  • Anžel, A., Heider, D., Hattab, G. (2022). MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, Computational and Structural Biotechnology, doi.org/10.1016/j.csbj.2022.02.012.
  • Sperlea, T., Schenk, J.P., Dreßler, H., Beisser, D., Hattab, G., Boenigk, J., Heider, D. (2022). The relationship between land cover and microbial community composition in European lakes, Science of the Total Environment, doi.org/10.1016/j.scitotenv.2022.153732.

2021

  • Hattab, G. (2021). Data Abstractions for Visual Analytics in Computational Life Sciences. Philipps-Universität Marburg. (Habilitation)
  • Löchel, H. F., Welzel, M., Hattab, G., Hauschild, A. C., Heider, D. (2021). Fractal Construction of Constrained Code Words for DNA Storage Systems, Nucleic Acids Research, doi.org/10.1093/nar/gkab1209.
  • Martin, R., Dressler, H., Hattab, G., Hackl, T., Fischer, M. G., & Heider, D. (2021). MOSGA 2: Comparative Genomics and Validation Tools, Computational and Structural Biotechnology, doi.org/10.1016/j.csbj.2021.09.024.
  • Anžel, A., Heider, D., Hattab, G. (2021). The Visual Story of Data Storage: From Storage Properties to User Interfaces. Computational and Structural Biotechnology Journal. doi.org/10.1016/j.csbj.2021.08.031.
  • Arnold, M., Speidel, S., Hattab, G. (2021). Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm. BMC Medical Imaging, 21 (1), 1-9. doi.org/10.1186/s12880-021-00650-z.
  • Hattab, G., Hatzipanayioti, A., Klimova, A., Pfeiffer, M., Klausing, P., Breucha, M., …, & Speidel, S. (2021). Investigating the utility of VR for spatial understanding in surgical planning: Evaluation of head-mounted to desktop display. Scientific Reports, 11(1), 1-11. doi.org/10.1038/s41598-021-92536-x.
  • Spänig, S., Mohsen, S., Hattab, G., Hauschild, A. C., & Heider, D. (2021). A large-scale comparative study on peptide encodings for biomedical classification. NAR genomics and bioinformatics, 3(2). doi.org/10.1093/nargab/lqab039.
  • Sperlea, T., Kreuder, N., Beisser, D., Hattab, G., Boenigk, J., & Heider, D. (2021). Quantification of the covariation of lake microbiomes and environmental variables using a machine learning‐based framework. Molecular Ecology, 30(9), 2131-2144. doi.org/10.1111/mec.15872.
  • Wagner, D., Heider, D., & Hattab, G. (2021). Mushroom data creation, curation, and simulation to support classification tasks. Scientific reports, 11(1), 1-12. doi.org/10.1038/s41598-021-87602-3.
  • Hattab, G., Rhyne, T. M., & Heider, D. (2021). Correction: Ten simple rules to colorize biological data visualization. PLoS Computational Biology, 17(4), e1008901. doi.org/10.1371/journal.pcbi.1008901.
  • Hufsky, F., Lamkiewicz, K., Almeida, A., Aouacheria, A., Arighi, C., Bateman, A., … & Marz, M. (2021). Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings in bioinformatics, 22(2), 642-663. doi.org/10.1093/bib/bbaa232.

2020

  • Martin, R., Hackl, T., Hattab, G., Fischer, M. G., & Heider, D. MOSGA: Modular Open-Source Genome Annotator. Bioinformatics, 36 (22-23), 5514–5515. doi.org/10.1093/bioinformatics/btaa1003.
  • Hattab, G., Rhyne, T. M., & Heider, D. (2020). Ten simple rules to colorize biological data visualization. PLoS Computational Biology, 16(10). doi.org/10.1371/journal.pcbi.1008259.
  • Martin, R., Löchel, H. F., Welzel, M., Hattab, G., Hauschild, A. C., & Heider, D. (2020). CORDITE: the curated CORona drug InTERactions database for SARS-CoV-2. Iscience, 23(7), 101297. doi.org/10.1016/j.isci.2020.101297.
  • Hattab, G., Ahlfeld, T., Klimova, A., Koepp, A., Schuerer, M., & Speidel, S. (2020). Uniaxial compression testing and Cauchy stress modeling to design anatomical silicone replicas. Scientific Reports, 10(1), 1-7. doi.org/10.1038/s41598-020-68886-3.
  • Hattab, G., Ahlfeld, T., Klimova, A., Koepp, A., Schuerer, M., & Speidel, S. (2020). Data from Uniaxial Compression testing and validation scripts for Cauchy stress modeling to design anatomical silicone replicas. Material Cloud Archive, 10. doi.org/10.1007/s11548-020-02123-0
  • Hattab, G., Riediger, C., Weitz, J., & Speidel, S. (2020). A case study: impact of target surface mesh size and mesh quality on volume-to-surface registration performance in hepatic soft tissue navigation. International journal of computer assisted radiology and surgery, 15(8), 1235-1245. doi.org/10.1007/s11548-020-02123-0
  • Hattab, G., Arnold, M., Strenger, L., Allan, M., Arsentjeva, D., Gold, O., … & Speidel, S. (2020). Kidney edge detection in laparoscopic image data for computer-assisted surgery. International journal of computer assisted radiology and surgery, 15(3), 379-387. doi.org/10.1007/s11548-019-02102-0.
  • Hattab, G., Meyer, F., Albrecht, R. D., & Speidel, S. (2020). MODELAR: A MODular and EvaLuative framework to improve surgical Augmented Reality visualization. The Eurographics Association, Eurographics & Eurovis 2020. doi.org/10.2312/evs.20201066.

2019

  • Hattab, G., & Nattkemper, T. W. (2019). SeeVis—3D space-time cube rendering for visualization of microfluidics image data. Bioinformatics, 35(10), 1802-1804. doi.org/10.1093/bioinformatics/bty889.

2018

  • Hattab, G. (2018) Analyzing colony dynamics and visualizing cell diversity in spatiotemporal experiments. Bielefeld University. (PhD, Doctor rerum naturalium).
  • Hattab, G., Wiesmann, V., Becker, A., Munzner, T., & Nattkemper, T. W. (2018). A novel Methodology for characterizing cell subpopulations in automated Time-lapse Microscopy. Frontiers in bioengineering and biotechnology, 6, 17. doi.org/10.3389/fbioe.2018.00017.

2017

  • Hattab, G., Schlüter, J. P., Becker, A., & Nattkemper, T. W. (2017). ViCAR: an adaptive and landmark-free registration of time lapse image data from microfluidics experiments. Frontiers in genetics, 8, 69. doi.org/10.3389/fgene.2017.00069.

2016

  • Hattab, G., Brink, B. G., & Nattkemper, T. W. (2016). A mnemonic card game for your amino acids (Abstract). Emily Carr University of Art+Design, 1, 48. (Information+ Conference).

2015

  • Hattab, G., Warschawski, D. E., Moncoq, K., & Miroux, B. (2015). Escherichia coli as host for membrane protein structure determination: a global analysis. Scientific reports, 5(1), 1-10. (doi.org/10.1038/srep12097).
  • Schlueter, J. P., McIntosh, M., Hattab, G., Nattkemper, T. W., & Becker, A. (2015). Phase Contrast and Fluorescence Bacterial Time-Lapse Microscopy Image Data. Bielefeld University. doi.org/10.4119/unibi/2777409.

2014

  • Hattab, G., Moncoq, K., Warschawski, D., & Miroux, B. (2014). Escherichia coli as host for membrane protein structure determination: A global analysis (Abstract). Biophysical Journal, 106(2), 46a. doi.org/10.1016/j.bpj.2013.11.335.
  • Hattab, G. (2014). Pattern recognition in a heat maze based spatial system adapted to Drosophila melanogaster. Université Paris-Saclay. Université Paris Diderot Sorbonne. (Master of Science).
  • Hattab, G., Suisse, A. Y., Ilioaia, O., Casiraghi, M., Dezi, M., Warnet, X. L., … & Miroux, B. (2014). Membrane protein production in Escherichia coli: overview and protocols. Membrane Proteins Production for Structural Analysis, Springer, 87-106. doi.org/10.1007/978-1-4939-0662-8_4

2012

  • Hattab, G. (2012). Establishment of a bibliographic and bioinformatics mining tool to research the over-expression of heterologous membrane proteins. Institute of Biological Physical Chemistry. Université Paris Diderot Sorbonne. (Bachelor of Science).