{"id":8509,"date":"2026-10-22T12:43:13","date_gmt":"2026-10-22T09:43:13","guid":{"rendered":"https:\/\/digitalegiz.kz\/?page_id=8509"},"modified":"2026-10-22T12:55:58","modified_gmt":"2026-10-22T09:55:58","slug":"atu-innovative-development-2026","status":"publish","type":"page","link":"https:\/\/digitalegiz.kz\/?page_id=8509","title":{"rendered":"ATU Innovative Development 2026"},"content":{"rendered":"\t\t
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\"\ud83d\udd39\" International Scientific and Practical Conference \u201cInnovative Development of the Food and Light Industries and the Hospitality Industry\u201d<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\ud83d\udccd Almaty Technological University, Almaty \u00b7 \ud83d\udcc5 22 October 2026<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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On 22 October 2026, Almaty Technological University (100 Tole Bi St., Almaty) hosted the International Scientific and Practical Conference \u201cInnovative Development of the Food and Light Industries and the Hospitality Industry\u201d. The working languages were Kazakh, Russian and English.<\/p>

DigitalEgiz Laboratory of Al-Farabi Kazakh National University took part with seven papers prepared together with colleagues from Almaty Technological University, the International Engineering and Technological University and Suleyman Demirel University. Most of them deal with digital twins of food production built on the OpenEgiz platform.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\ud83d\udcc4 Laboratory papers<\/h3>
  1. Adilzhanova S.A., Nurgazy T.N., Aituganova Zh.T., Akzholova A.I.<\/strong> \u2014 \u201cConformity of an Open Digital Twin Platform for a Bakery with the ISO 23247 Reference Architecture\u201d. The architecture of OpenEgiz, whose pilot version runs at a bakery in Almaty (project BR24992975), is mapped onto ISO 23247-2 and the missing functions are identified.<\/li>
  2. Shekerbaeva Sh.N., Koksunbaev A., Ilesova B.E., Sakypbekova M.Zh.<\/strong> \u2014 \u201cVoice Interaction with Digital Twin Systems Based on Natural Language Processing\u201d. A voice channel of a working bakery’s quality management system: an operator’s spoken phrase moves a production batch to the next stage and updates the twin of the machine the batch is on.<\/li>
  3. Sydykova M.M., Kenzhekhanuly T., Talpakova B.A., Tyulepberdinova G.A.<\/strong> \u2014 \u201cIntegrating Process Mining and Digital Twins for Real-Time Monitoring of Production Processes\u201d. The process model mined from the event log becomes the behavioural core of the digital twin; the test bed is a bakery line running OpenEgiz.<\/li>
  4. Adilzhanova S.A., Raeva A.A., Amirkhanova G.A., Zhumanazarova A.M.<\/strong> \u2014 \u201cA Digital Twin-Based Virtual Environment for Production Simulation and Staff Training\u201d. One 3D model of a bakery shop shows the state of real equipment, simulates the line and trains operators; the model deviated from the pilot line’s actual output by no more than 7%.<\/li>
  5. Kadyrzhan N., Bektemir L., Amirkhanova G.A., Zhasuzakova M.Zh.<\/strong> \u2014 \u201cIntelligent Model for Detecting Technological Process Deviations to Improve the Quality of Bakery Products\u201d. A computer vision model turns production-line images into an anomaly score, a defect heatmap and a recommended action.<\/li>
  6. Zhilkishbaeva Z.A., Bektemir L., Amirkhanov B.S., Duisenbekkyzy Zh.<\/strong> \u2014 \u201cA Self-Learning Digital Twin of Food Production: Adapting AI Models to Changes in the Technological Process\u201d. A twin that predicts quality, identifies key risk factors and updates its AI model as the process drifts, without stopping production.<\/li>
  7. Adilzhanova S.A., Aubakirova R., Kerimakyn A., Polatova Zh.<\/strong> \u2014 \u201cRecent Methods for Classifying Kazakh-Language Texts: Multilingual Encoders, Embeddings and Large Language Models\u201d. A review of 2024\u20132026 methods and a procedure for choosing one depending on the amount of labelled data.<\/li><\/ol>

    \ud83d\udcda Conference topics<\/h3>