Alexey Neznanov
- Associate Professor:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Alexey Neznanov has been at HSE University since 2008.
Education, Degrees and Academic Titles
- 2011Associate Professor
- 2005
Candidate of Sciences* (PhD) in Mathematical Support and Software in Computers, Complexes and Computer Networks
Moscow Power Engineering Institute - 2002
Master's
Moscow Power Engineering Institute - 2000
Bachelor's
Moscow Power Engineering Institute
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Academic and Professional Interests
- Structural analysis of systems: algebraic and algorithmic aspects. Applied graph theory with an emphasis on symmetry, complexity and similarity of graph models of systems. Effective algorithms for solving problems of structural analysis.
- Data analysis: Big Data problems, graph mining, text mining, Formal Concept Analysis, formats and protocols of data processing.
- Medical informatics: clinical informatics, mathematical support of randomized controlled trials, medical information systems.
- Software engineering: software life cycle and ALM-technologies.
- Human-machine interaction: design of user interfaces, implementation of graphical user interfaces.
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2011-2012)
Category "New Lecturers" (2009-2010)
Courses (2023/2024)
- Database Design (Master’s programme; Faculty of Social Sciences; 2 year, 2 module)Rus
- Past Courses
Courses (2022/2023)
Courses (2021/2022)
- Data and Service Engineering for Automating Business Processes (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Knowledge Management and Adaptive Learning Systems (Master’s programme; Institute of Education; 2 year, 1, 2 module)Rus
- Research Seminar "Sociology of Business Sphere" (Master’s programme; Faculty of Social Sciences; 1 year, 1-4 module)Rus
Courses (2020/2021)
- Analysis and Visualization of Networks (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng
- Data and Service Engineering for Automating Business Processes (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Data Base Foundations (Optional course (faculty); Faculty of Creative Industries; 2 module)Rus
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- Educational Data Mining and Learning Analitics (Master’s programme; Institute of Education; 1 year, 2, 3 module)Rus
- Knowledge Management and Adaptive Learning Systems (Master’s programme; Institute of Education; 2 year, 1, 2 module)Rus
Courses (2019/2020)
- Analysis and Visualization of Networks (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Eng
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 4 year, 1, 2 module)Rus
- Database Theory (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus
- DAX for Data Analysis (Master’s programme; Faculty of Creative Industries; 2 year, 3 module)Rus
- Educational Data Mining and Learning Analitics (Master’s programme; Institute of Education; 1 year, 2, 3 module)Rus
- Human-Computer Interaction Design (Mago-Lego; 3, 4 module)Rus
- Project Seminar (Master’s programme; Faculty of Creative Industries; 1 year, 1-4 module)Rus
Publications69
- Chapter Dudyrev F., Neznanov A., Anisimova K. Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning, in: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. doi P. 436-439. doi
- Article Громов В. А., Мазайшвили К. В., Заикин П. В., Николаев Е. Н., Бесчастнов Ю. Н., Зворыкина Е. И., Паринов А. А., Незнанов А. А. Различение хаотических и регулярных временных рядов для идентификации состояния артериовенозной фистулы // Вестник кибернетики. 2022. Т. 45. № 1. С. 72-82. doi
- Chapter Beresneva E., Gordenko M., Maksimenkova O. V., Neznanov A. Cloud-Based Education: Why Corporate Educational Platforms Lead Total Distance Learning Shift?, in: Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing. Springer, 2021. P. 335-346. doi
- Chapter Tyuryumina E., Neznanov A., Turumin J. L. Predictive mathematical modelling of recurrence periods for the secondary distant metastases in patients with ER/PR/HER2/Ki-67 subtypes of breast cancer, in: The Breast. PRIMARY THERAPY OF EARLY BREAST CANCER Evidence, Controversies, Consensus. 17th St.Gallen International Breast Cancer Conference, Online Worldwide, 17 - 21 March 2021 Vol. 56. Issue Supplement 1. Switzerland : Elsevier, 2021. doi Ch. S60. P. 60-61. doi
- Chapter Beresneva E., Gordenko M., Maksimenkova O. V., Neznanov A. The Lessons of Forced Distance Learning: Software Engineering Approach in the Gap of Generations of Educational Software, in: Educating Engineers for Future Industrial Revolutions. ICL 2020, vol 1. Advances in Intelligent Systems and Computing Vol. 1328. Springer, 2021. doi P. 54-65. doi
- Book Громов В. А., Густелёв Ю. А., Мазайшвили К. В., Незнанов А. А., Пендюрин М. С., Юхневич К. С. Проект «зеркальная лаборатория»: успешное сотрудничество флебологов со специалистами по искусственному интеллекту //13-й Санкт-Петербургский Венозный Форум. (Рождественские встречи). [б.и.], 2021.
- Article Tyuryumina E., Neznanov A., Turumin J. L. A Mathematical Model to Predict Diagnostic Periods for Secondary Distant Metastases in Patients with ER/PR/HER2/Ki-67 Subtypes of Breast Cancer // Cancers. 2020. Vol. 12. No. 9. P. 1-20. doi
- Chapter Tyuryumina E., Neznanov A., Turumin J. L. A mathematical model to predict the diagnostics periods for the secondary distant metastases in patients with ER/PR/HER2/Ki-67 subtypes of breast cancer, in: Proceedings of the AMIA 2020 Annual Symposium. United States of America : AMIA, 2020. P. 1653-1654.
- Chapter Maksimenkova O. V., Neznanov A., Radchenko I. Collaborative Learning in Data Science Education: A Data Expedition as a Formative Assessment Tool, in: The Challenges of the Digital Transformation in Education Vol. 1. Switzerland : Springer, 2020. P. 14-25. doi
- Chapter Dudyrev F., Maksimenkova O. V., Neznanov A., Romanova O. Adaptive education and Open Educational Resources in vocational education and training, in: Proceedings of the Ministerial Forum “Global Dialogue on ICT and Education Innovation –Towards Sustainable Development Goal for Education (SDG 4). M. : UNESCO, 2019. P. 133-140.
- Chapter Dudyrev F., Neznanov A., Maksimenkova O. V. Providing Cognitive Scaffolding Within Computer-Supported Adaptive Learning Environment for Material Science Education, in: The Challenges of the Digital Transformation in Education Т. 2. Switzerland : Springer, 2019. P. 844-853. doi
- Article Tyuryumina E., Neznanov A. The mathematical model for predicting the earliest diagnostics period of the secondary distant metastases growth process of breast cancer // The Breast. 2019. Vol. 44. P. 88-89. doi
- Book Макеффри М. Unreal Engine VR для разработчиков / Пер. с англ.: Н. И. Веселко, О. В. Максименкова, А. А. Незнанов. М. : Эксмо, 2019.
- Article Maksimenkova O. V., Neznanov A., Radchenko I. Using Data Expedition as a Formative Assessment Tool in Data Science Education: Reasoning, Justification, and Evaluation // International Journal of Emerging Technologies in Learning. 2019. Vol. 14. No. 11. P. 107-122. doi
- Chapter Кузьминов И. Ф., Бахтин П. Д., Незнанов А. А., Лобанова П. А. Исследования структуры научного сообщества на основе семантического анализа: выявление и кластеризация центров компетенций и тематик // В кн.: Управление научными исследованиями и разработками. Государство и наука: новые модели управления – 2018. Труды Четвертой научно-практической конференции (26 ноября 2018 г., Москва). ИПУ РАН, 2019. С. 128-137.
- Article Максименкова О. В., Незнанов А. А. Коллаборативные технологии в образовании: как выстроить эффективную поддержку гибридного обучения? // Университетское управление: практика и анализ. 2019. Т. 23. № 1-2. С. 101-110. doi
- Book Куксон А., Даулингсока Р., Крамплер К. Разработка игр на Unreal Engine 4 за 24 часа / Пер. с англ.; науч. ред.: Н. И. Веселко, О. В. Максименкова, А. А. Незнанов. Эксмо, 2019.
- Article Ella Y Tyuryumina, Alexey A Neznanov. Consolidated mathematical growth model of the primary tumor and secondary distant metastases of breast cancer (CoMPaS) // Plos One. 2018. Vol. 13. No. 7. P. 1-16. doi
- Chapter Alexey Neznanov. New Reality in Clinical Informatics and Explanation-oriented Methods of Data Analysis, in: Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017) / Ed. by J. Baixeries, S. Boytcheva, O. Pianykh, A. Neznanov, S. Kuznetsov. Issue 6. EasyChair, 2018. doi P. 43-47. doi
- Chapter Maksimenkova O. V., Neznanov A., Papushina I. O., Parinov A. On mind maps evaluation: a case of an automatic grader development, in: Advances in Intelligent Systems and Computing. ICL 2017: Teaching and Learning in a Digital World. , 2018. doi P. 210-221. doi
- Book Proceedings of the first Workshop on Data Analysis in Medicine (WDAM-2017) / Ed. by J. Baixeries, S. Boytcheva, O. Pianykh, A. Neznanov, S. Kuznetsov. Issue 6. EasyChair, 2018. doi
- Article Зыков С. В., Незнанов А. А., Максименкова О. В. Критерии отклонения распределения случайных величин от нормального в математическом обеспечении программных систем поддержки измерений в образовании // Программные системы: теория и приложения. 2018. Т. 9. № 4. С. 199-218. doi
- Chapter Ella Y Tyuryumina, Neznanov A. On Consolidated Predictive Model of the Natural History of Breast Cancer Considering Primary Tumor and Primary Distant Metastases Growth, in: 2017 IEEE International Conference on Healthcare Informatics. IEEE Computer Society, 2017. doi P. 484-489. doi
- Chapter Ella Y Tyuryumina, Neznanov A. On Consolidated Predictive Model of the Natural History of Breast Cancer: Primary Tumor and Secondary Metastases in Patients with Lymph Nodes Metastases, in: Proceedings of the 2017 International Conference on Digital Health. NY : Association for Computing Machinery (ACM), 2017. doi P. 60-66. doi
- Chapter Maksimenkova O. V., Neznanov A., Skryabin M. On MOOCs Quality Estimation : a Case of Modern Nonparametric Superiority and Noninferiority Statistical Tests, in: eLearning Stakeholders and Researchers Summit 2017. Материалы международной конференции / Отв. ред.: Е. Ю. Кулик, У. Кускин. М. : Национальный исследовательский университет "Высшая школа экономики", 2017. doi P. 165-174. doi
- Chapter Ella Y Tyuryumina, Neznanov A. On consolidated predictive model of the natural history of breast cancer considering primary tumour and distant metastases growth, in: The Breast. Elsevier, 2017. P. S106-S106. doi
- Article Максименкова О. В., Незнанов А. А. Концептуальные и логические модели для распределённых программных систем поддержки контрольно-измерительных мероприятий // Программные системы: теория и приложения. 2017. Т. 8. № 4. С. 31-46. doi
- Article Губко М. В., Kuznetsov S., Neznanov A., Ignatov D. I. Bayesian Learning of Consumer Preferences for Residential Demand Response // IFAC-PapersOnLine. 2016. Vol. 49. No. 32. P. 24-29. doi
- Article Kolomiets A., Maksimenkova O. V., Neznanov A. On business processes of computer-supported collaborative learning: A case of peer assessment system development // Business Informatics. 2016. Vol. 38. No. 4. P. 35-46.
- Article Maksimenkova O. V., Neznanov A. The PASCA: A Mail Based Randomized Blinded Peer Assessment System for Complex Artifact // Procedia Computer Science. 2016. Vol. 96. P. 826-837. doi
- Chapter Parinov A., Neznanov A. Unified External Data Access Implementation in Formal Concept Analysis Research Toolbox, in: CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings / Ed. by M. Huchard, S. Kuznetsov. Vol. 1624. M. : Higher School of Economics, National Research University, 2016. P. 285-296.
- Chapter Тюрюмина Э. Я., Незнанов А. А. Объединенная математическая модель роста первичной опухоли и первичных метастазов рака молочной железы (IV стадия РМЖ) // В кн.: 40-я междисциплинарная школа-конференция "Информационные технологии и системы". [б.и.], 2016. Гл. 5. С. 13-21.
- Chapter Neznanov A., Parinov A. Analyzing Social Networks Services Using FormalConcept Analysis Research Toolbox, in: CEUR Workshop Proceedings. Proceedings of the International Workshop on Social Network Analysis using Formal Concept Analysis (SNAFCA 2015) / Ed. by R. Missaoui, S. Kuznetsov, S. Obiedkov. Issue 1534: SNAFCA 2015 Social Network Analysis using Formal Concept Analysis. Malaga : CEUR Workshop Proceedings, 2015. Ch. 5. P. 43-54.
- Chapter Neznanov A., Maksimenkova O. V. Blended Learning in Software Engineering Education: the Application Lifecycle Management Experience with Computer-Supported Collaborative Learning, in: Proceedings of 18th International Conference on Interactive Collaborative Learning (ICL 2015). Florence : Curran Associates, Inc., 2015. P. 646-653.
- Chapter Neznanov A., Parinov A. Distributed Architecture of Data Analysis System based on Formal Concept Analysis Approach, in: Intelligent Distributed Computing IX. Springer, 2015. P. 265-271.
- Chapter Neznanov A., Kourie D. G. Formal Concept Analysis Research Toolbox and failure deterministic finite automata, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015.
- Chapter Neznanov A., Parinov A. Full-text Search in Intermediate Data Storage of FCART, in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa / Ed. by S. Kuznetsov, B. W. Watson. Vol. 1552. Aachen : CEUR Workshop Proceedings, 2015.
- Chapter Тюрюмина Э. Я., Незнанов А. А. Объединенная математическая модель рака молочной железы // В кн.: 39-я междисциплинарная школа-конференция "Информационные технологии и системы". Springer, 2015. С. 38-51.
- Article Незнанов А. А., Старичкова Ю. В. Развитие классификации клинических диагнозов в медицинских информационных системах // Бизнес-информатика. 2015. Т. 2. № 32. С. 39-47.
- Chapter Neznanov A., Parinov A. About Universality and Flexibility of FCA-based Software Tools, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2014) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Vol. 1257. Prague : CEUR Workshop Proceedings, 2014. P. 59-66.
- Chapter Neznanov A., Ilvovsky D., Parinov A. Advancing FCA Workflow in FCART System for Knowledge Discovery in Quantitative Data, in: Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014 / Ed. by Y. Shi, A. Lepskiy, F. T. Aleskerov. Vol. 31. Amsterdam : Elsevier, 2014. P. 201-210.
- Chapter Neznanov A., Parinov A. FCA Analyst Session and Data Access Tools in FCART, in: Artificial Intelligence: Methodology, Systems, and Applications 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings / Ed. by G. Agre, P. Hitzler, A. A. Krisnadhi, S. Kuznetsov. Vol. 8722. L., NY, Dordrecht, Heidelberg, Cham : Springer, 2014. P. 214-221.
- Article Максименкова О. В., Незнанов А. А., Подбельский В. В. О формирующем контроле и информативной обратной связи при проектировании учебных курсов по программированию // Вестник Российского университета дружбы народов. Серия: Информатизация образования. 2014. № 4. С. 37-48.
- Chapter Neznanov A., Ilvovsky D., Kuznetsov S. FCART: A New FCA-based System for Data Analysis and Knowledge Discovery, in: Contributions to the 11th International Conference on Formal Concept Analysis. Dresden : Qucoza, 2013. P. 31-44.
- Chapter Kuznetsov S., Neznanov A. Information Retrieval and Knowledge Discovery with FCART, in: Proceedings of the Workshop Formal Concept Analysis Meets Information Retrieval / Отв. ред.: S. Kuznetsov, C. Carpineto, A. Napoli. Vol. 977. M. : CEUR Workshop Proceedings, 2013. P. 74-82.
- Chapter Buzmakov A., Neznanov A. Practical Computing with Pattern Structures in FCART Environment, in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2013) / Ed. by S. Kuznetsov, A. Napoli, S. Rudolph. Issue 1058. Beijing : CEUR Workshop Proceedings, 2013. Ch. 7. P. 49-56.
- Chapter Максименкова О. В., Незнанов А. А. О роли и эффективных методах информативной обратной связи при контроле знаний по дисциплинам цикла "Программирование" // В кн.: III Всероссийская научно-практическая конференция "Информационные технологии в образовании XXI века". Сборник научных трудов. М. : НИЯУ МИФИ, 2013. С. 119-123.
- Chapter Kuznetsov S., Neznanov A., Poelmans J. A System for Knowledge Discovery in Big Dynamical Text Collections, in: Proceedings, Workshop “What can FCA do for Artificial Intelligence?” of the ECAI 2012 conference. M. : CEUR Workshop Proceedings, 2012. Ch. 12. P. 81-87.
- Chapter Poelmans J., Van der Mussele H., Verheyden G., Viaene S., Dedene G., Kuznetsov S., Neznanov A. CORDIET - Healthcare: Extracting knowledge from electronic patient record data, in: 11th International Congress on Nursing Informatics. Montréal : AMIA, 2012. P. 321-325.
- Book EEML 2012 – Experimental Economics in Machine Learning / Ed. by R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. Leuven : Katholieke Universiteit Leuven, 2012.
- Chapter Poelmans J., Elzinga P., Neznanov A., Dedene G., Viaene S., Kuznetsov S. Human-Centered Text Mining: A New Software System, in: Advances in Data Mining. Applications and Theoretical Aspects. 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings / Ed. by P. Perner. Vol. 7377. Berlin, Heidelberg : Springer, 2012. P. 258-272.
- Chapter Kuznetsov S., Neznanov A., Poelmans J., Elzinga P., Dedene G. Human-Centered Text Mining: A New Software System, in: Proceedings of 11th Industrial Conference on Data Mining (ICDM 2012). Springer, 2012. P. 258-272.
- Article Kuznetsov S., Poelman J., Elzinga P., Neznanov A., Dedene G., Viaene S. Human-centered text mining: A new software system // Lecture Notes in Computer Science. 2012. Vol. 7377 LNAI. P. 528-272.
- Book Proceedings of International Workshop on Experimental Economics in Machine Learning 2012 / Отв. ред.: R. Tagiew, D. I. Ignatov, A. Neznanov, J. Poelmans. KU-Leuven, 2012.
- Article Neznanov A., Korablin Y. P., Karpukhin N. The models of time in simulation // Automatic Documentation and Mathematical Linguistics. 2012. Vol. 46. No. 3. P. 133-137.
- Article Старичкова Ю. В., Незнанов А. А. Выделение, генерация и визуализация семейств транзитивных графов степени 4 по характеристикам симметрии и структурной сложности // Вестник Тамбовского университета. Серия: Естественные и технические науки. 2012. Т. 17. № 2. С. 532-547.
- Article Карпухин И. Н., Кораблин Ю. П., Незнанов А. А. Модели времени в имитационном моделировании // Научно-техническая информация. Серия 2: Информационные процессы и системы. 2012. № 5. С. 16-21.
- Chapter Кузнецов С. О., Незнанов А. А., Игнатов Д. И., Пульманс Й. Новые программные средства разработки данных, поддерживающие методологию Cordiet // В кн.: Тринадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2012 (16-20 октября 2012 г., г. Белгород, Россия). Том 4 Т. 4. Белгород : Белгородский государственный технологический университет им. В.Г. Шухова, 2012. С. 15-23.
- Article Незнанов А. А., Кораблин Ю. П., Карпухин И. Н. Программное средство для имитационного моделирования с помощью графовых моделей // Программные продукты и системы. 2012. № 2. С. 156-158.
- Chapter Poelmans J., Elzinga P., Neznanov A., Viaene S., Kuznetsov S., Ignatov D. I., Dedene G. Concept Relation Discovery and Innovation Enabling Technology (CORDIET), in: CDUD'11 – Concept Discovery in Unstructured Data Workshop co-located with the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC-2011), June 2011, Moscow, Russia / Ed. by D. I. Ignatov, S. Kuznetsov, J. Poelmans. Issue 757. M. : Higher School of Economics Publishing House, 2011. P. 53-62.
- Article Старичкова Ю. В., Незнанов А. А. Программный комплекс для генерации семейств транзитивных графов степени 4 // Бизнес-информатика. 2011. № 3. С. 36-44.
- Chapter Кохов В. А., Незнанов А. А., Ткаченко С. В. Задачи анализа структурного сходства и методы их решения // В кн.: Двенадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2010 (20-24 сентября 2010 г., г. Тверь, Россия). Труды конференции. Том 1 Т. 1. М. : Физматлит, 2010. С. 161-169.
- Chapter Старичкова Ю. В., Незнанов А. А. Программные средства для построения и исследования моделей структурной сложности орграфов // В кн.: Двенадцатая национальная конференция по искусственному интеллекту с международным участием КИИ-2010 (20-24 сентября 2010 г., г. Тверь, Россия). Труды конференции. Том 4 Т. 4. М. : Физматлит, 2010.
- Article Кохов В. А., Незнанов А. А. Программный комплекс анализа структурного сходства систем с учетом расположения фрагментов // Программные продукты и системы. 2010. № 4. С. 25-25.
- Article Незнанов А. А., Кохов В. А. О связи строения стационарных подгрупп группы графа и эффективности учёта симметрии при решении переборных задач структурного анализа // Труды Московского физико-технического института. 2009. Т. 1. № 2. С. 77-83.
- Chapter Старичкова Ю. В., Незнанов А. А. Улучшенная классификация и генерация транзитивных графов степени 4 // В кн.: Информационные средства и технологии. Труды XVI Международной научно-технической конференции в трех томах. Т.2 Т. 2: Компьютеризация процессов обучения и принятия решений, Вычислительные системы и сети, Математика и ее приложения. М. : Издательский дом МЭИ, 2008. С. 75-79.
- Book Незнанов А. А., Кохов В. А. Алгоритмизация решения переборных задач анализа графов. М. : Издательский дом МЭИ, 2007.
- Book Незнанов А. А., Кохов В. А., Ткаченко С. В. Решение базовых задач структурной информатики с помощью ППП «ПОЛИГОН-СТРИН»: лабораторный практикум. М. : Издательский дом МЭИ, 2005.
Employment history
09.2013 – н.в. |
International Laboratory for Intelligent Systems and Structural Analysis. Senior Researcher. |
09.2014 – now |
School of Data Analysis and Artificial Intelligence, Faculty of Computer Science at National Research University Higher School of Economics. Associate Professor. |
10.2012 – 03.2015 |
Federal State Budget Institute "Federal Scientific and Clinical Centre of Pediatric Hematology, Oncology and Immunology named after Dmitry Rogachev" Ministry of Health of the Russian Federation. Head of Information Analytical department. |
09.2008 – 08.2014 |
Department of applied mathematics and informatics at National Research University Higher School of Economics. Deputy head of school of applied mathematics and computer science. Assistant Professor. Courses taught: “Workshop on computers”, “Database theory”, “Object-oriented CASE-technologies”, “Distributed systems”, “System and application software”, “Applied graph theory”, etc. |
09.2005 – 06.2009 |
Institute of automatics and computer engineering at MPEI (TU). Lecturer. Courses taught: “Distributed systems and databases”, “Graph theory and combinatorics”, “Design and analysis of effective algorithms”. |
09.2006 –06.2012 |
Department of innovations and high technology at Moscow Institute of Physics and Technology (MIPT). Assistant Professor. Courses taught: “Design of machine-user interaction”, “Distributed systems (client/server applications)”. |
02.2006 –06.2008 |
Institute of Technology, Economics and Entrepreneurship at MPEI (TU). Senior Lecturer. Courses taught: “Organizational change management”. |
09.2003 – 08.2005 |
Institute of automatics and computer engineering at MPEI (TU). Research assistant. |
05.2000 – 08.2005 |
“Firma Perspectiva” Ltd. Software developer. |
Main topics of course works and diplomas
№ |
Actual research fields |
1
|
Mathematical Foundations and Algorithms in Applied Graph Theory.
|
2
|
Data Analysis in Medical Informatics
|
3
|
Educational Data Mining.
|
4
|
Problems in Human-Computer Interaction.
|
№ |
Course works |
1
|
Algorithms and Software Tools for Ontology-controlled Analysis of Unstructured Data Collections.
|
2
|
Unstructured Data Storages and Applications: Data Formats, Queries, Optimization.
|
3
|
Cloud Technologies and their Application for Intelligent Data Analysis Algorithms Scaling.
|
4
|
External Data Sources Browser for Intermediate Storage of Analytical Software.
|
5
|
Software Tools for Manipulating Open Data and Their Metadata .
|
6
|
Adaptive Algorithms of Randomizing Participants and Monitoring Reviews in Peer Assessment Systems.
|
7
|
Development of Interactive Algorithms of Computationally Hard Problems of Structural Analysis.
|
8
|
Graph Models Similarity Analysis Based on Mathematical Models of Structural Complexity.
|
9
|
Development of Combinatorial Configuration Construction Algorithms Implementations Libraries in Applied Graph Theory.
|
10
|
Development of Specialized Version of Structural Analysis Algorithms for Social Network Analysis.
|
11
|
Implementation and Comparative Analysis of Modern Cheminformatics Algorithms.
|
12
|
Structural Analysis Visualization: Methods and Algorithms.
|
13
|
Free Research Software Tools in the Field of Discrete Mathematics.
|
14
|
Integration of Academic Bibliography Management Systems in Microsoft Office 365.
|
№ |
Diplomas |
1
|
Text Indexing and Full Text Search: Effective Implementation and Integration in IDS Query Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
|
2
|
The Specialized Ontologies, Metaontologies, and Query Languages of the Formal Concept Analysis Research Toolbox (FCART).
|
3
|
Effective Implementation and Comparative Analysis of Intelligent Data Analysis Algorithms for Object-Attribute Representation of Data.
|
4
|
Dynamical Data Analysis for Object-Attribute Representation of Datasets.
|
5
|
Advancing of scripting subsystem of FCART.
|
6
|
Development of Synthetic Analytic Artefacts Generation Subsystem of the Formal Concept Analysis Research Toolbox (FCART).
|
7
|
Development of Integrated Software Environment to Support Conducting of Randomized Clinical Trial.
|
8
|
Software for customizing and visualizing of patient order and similarity in clinical decision support systems.
|
9
|
Development and simulation of Smart House User Model.
|
10
|
Development and simulation of Smart House Device Model.
|
11
|
Development and simulation of Smart House Controller Model.
|
12
|
Precise and Approximate Solutions for Graph Discrimination Problem: Algorithms and Computational Complexity.
|
13
|
Algorithms and Computational Complexity for Various Kinds of Graph Automorphism Group Generative Sets.
|
14
|
The Graph Covering Problems: Classification, Approaches, Algorithms.
|
15
|
Effective Algorithms for Automatic Line Graph and Their Fragments Diagram Construction.
|
16
|
Visualization of Semantic Networks.
|
17
|
Orthogonal Drawing of Graphs and Digraphs that Contain Vertices with Degree > 4.
|
18
|
Adaptive Graph Drawing Algorithms based on Physical Models.
|
19
|
Graph Drawing Algorithms Taking into Account Fragments Layout Symmetry.
|
20
|
Interactive Algorithms for Transitive Graph Drawing.
|
21
|
Use Case Graph Optimization in Human-Computer Interaction Design.
|
‘You Need to Know a Lot of Ideas and Algorithms, Come Up with Something Unconventional’
A student of the HSE Faculty of Computer Science, Andrey Kuznetsov, has become the winner of the 2024 Data Fusion Contest. He took first place in solving geoanalytics tasks, and also won the special ‘Companion’ category. The competition took place as part of the 2024 Data Fusion conference on big data and AI technologies. Researchers from HSE University presented the results of their work and demonstrated applied developments at the conference.
I Believe That at HSE University, You Can Grow Bigger
Tharaa Ali, 1st-year PhD student, told us about her life in Russia, IT education, and her research
How to Film Bruce Willis in His Absence: Deepfake Creation and Application
In recent years, advanced technologies for creating deepfake images have made it almost impossible to distinguish them from real photos and videos. Researchers discussed the future development of deepfakes and how to protect yourself from new types of fraud during the round-table discussion ‘Fake News: An Interdisciplinary Approach’ as part of the XXIII Yasin (April) International Academic Conference on Economic and Social Development.
13th International Conference on Concept Lattices and Their Applications
On July 18-22 the 13th International Conference on Concept Lattices and Their Applications was held at HSE. The conference has been organized since 2002. This year it was held in Russia for the first time. The event was organized by the International Laboratory for Intelligent Systems and Structural Analysis and the School of Data Analysis and Artificial Intelligence of HSE Faculty of Computer Science.
Mathematics to Help Diagnose Cancer
HSE researchers have developed a new mathematical model to predict breast cancer growth and the occurrence of metastases.
Computers to Spot Pedophiles
Concept lattices can help spot pedophiles on the web. Researchers of the HSE's Department of Data Analysis and Artificial Intelligence have helped the Dutch police create a computer program that can detect internet pedophiles and even determine how dangerous they can be.
World Engineering Education Forum
Alexey Neznanov, Associate Professor at the School of Data Analysis and Artificial Intelligence and Olga Maksimenkova, Senior lecturer at the School of Software Engineering, took part in the World Engineering Education Forum that was held on September 20-24 in Florence, Italy. The Forum Programme Committee included the members of IFEES, COPI, EEDS/SEFI, ENAEE, EUCEET, IGIP and other communities engaged in engineering education.