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Research Overview

My expertise is in machine learning, optimization, network analysis, and the analysis of very large datasets. I focus on developing efficient algorithms and data-driven models to address complex interdisciplinary problems across domains such as social networks, healthcare, metabolomics, and 3D printing digital twins.

Full publication list on Google Scholar →

Publications
Refereed Journal Articles
  • A. Prokhorov, P. Radchenko, A. Semenov, A. Skrobotov. Change-Point Detection in Time Series Using Mixed Integer Programming, Journal of Business & Economic Statistics, 2025
  • T. Macieira, R. Bjarnadottir, P. de Oliveira Salgado, A. Baranwal, A. Semenov, K. Priola, P. Pestana, S. Okafor, N. Mena, N. Montoya, L. Sargent, A. Presley, Y. Yao, G. Keenan. Standardizing nursing interventions data from electronic health records using GPT models and RAG process, Nursing Outlook, 2025
  • T. Pimenova, V. Kolycheva, A. Semenov, D. Grigoriev. The Influence of News, Expert and Public Opinion on Painting Prices: An Empirical Analysis, Empirical Studies of the Arts, 2025
  • A. Semenov, A. Veremyev, E. L. Pasiliao, V. Boginski. Bandpass Threshold Models for Activation and Influence Propagation in Social Networks, IEEE Access, 2025
  • R. Wang, Y. Ophir, A. Semenov, A. Nikolaev. Content Engagement Capacity: A Network-Based Approach for Evaluating the Ability of Frames to Facilitate Political Online Conversations, Information, Communication & Society, 2025
  • A. Dolaeva, U. Beliaeva, D. Grigoriev, A. Semenov, M. Rysz. Analyzing and forecasting P/E ratios using investor sentiment in panel data regression and LSTM models, International Review of Economics & Finance, 2025
  • W. Trevena, X. Zhong, M. Alvarado, A. Semenov, A. Oktay, D. Devlin, A. Gohil, H. Chittimouju. Utilizing Open-Source Language Models and ChatGPT for Zero-Shot Identification of Drug Discontinuation Events in Online Forums: Development and Validation Study, Journal of Medical Internet Research, 2024
  • M. Borisov, V. Kolycheva, A. Semenov, D. Grigoriev. How does the color palette affect the pricing of abstract paintings? Information Systems Frontiers, 2024
  • M. Rysz, A. Semenov. A Key Distribution Technique for Wireless Sensor Networks Using Spanning Trees, Expert Systems with Applications, 2024
  • A. Pimenov, V. Kolycheva, A. Semenov, D. Grigoriev. The Death of The Author: the case of art market, Empirical Studies of the Arts, 2024
  • X. Zan, A. Semenov, C. Wang, X. Xian, W. Geremew. Causality-aware Social Recommender System with Network Homophily Informed Multi-treatment Confounders, Information Sciences, v. 676, 120729, 2024
  • A. Semenov, M. Rysz, G. Demeyer. Deep Learning Approach for SAR Image Retrieval for Reliable Positioning in GPS-Challenged Environments, IEEE Transactions on Geoscience and Remote Sensing, v.62, 2024
  • K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Cryptocurrency exchange simulation, Computational Economics, 2024
  • K. Mansurov, A. Semenov, D. Grigoriev, A. Radionov, R. Ibragimov. Impact of self–learning based high-frequency traders on the stock market, Expert Systems with Applications, v. 232, 1205672, 2023
  • A. Kammerdiner, A. Semenov, E. L. Pasiliao. Landscape properties of the very large-scale and the variable neighborhood search metaheuristics for the multidimensional assignment problem, Journal of Global Optimization 88, 653–683, 2023
  • A. Kammerdiner, A. Semenov, E. L. Pasiliao. Flight from COVID-19: Multiscale and Multilayer Analyses of the Epidemic-Induced Network Adaptations, Operations Research Forum 4 (29), 2023
  • X. Xian, A. Semenov, Y. Hu, A. Wang, Y. Jin. Adaptive Sampling and Quick Anomaly Detection in Large Networks, IEEE Transactions on Automation Science and Engineering, vol. 20, no. 4, pp. 2253-2267, 2023
  • W. Distaso, R. Ibragimov, A. Semenov, A. Skrobotov. COVID-19: Tail Risk and Predictive Regressions, PLoS One, 17(12): e0275516, 2022
  • H. Heinonen, A. Semenov, J. Veijalainen, T. Hamalainen. A Survey on Technologies Which Make Bitcoin Greener or More Justified, IEEE Access, vol. 10, pp. 74792-74814, 2022.
  • O. Shirokikh, G. Pastukhov, A. Semenov, S. Butenko, A. Veremyev, E. L. Pasiliao, V. Boginski. Networks of Causal Relationships in the U.S. Stock Market, Dependence Modeling, v. 10, p. 177-190, 2022.
  • A. Kammerdiner, A. Semenov, E.L. Pasiliao. Multidimensional Assignment Problem for multipartite entity resolution, Journal of Global Optimization 84, 491–523, 2022.
  • Y. Zhang, C. Ridings, A. Semenov. What to Post? Understanding Engagement Cultivation in Microblogging with Big Data-Driven Theory Building, International Journal of Information Management, 102509, 2022.
  • A. Semenov, M. Rysz, G. Pandey, G. Xu. Diversity in News Recommendations using Contextual Bandits, Expert Systems with Applications, v. 195, 116478, 2022.
  • A. Jarynowski, A. Semenov, M. Kaminski, V. Belik. Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning. Journal of Medical Internet Research, 32 (11), e30529, 2021
  • V. Habic, A. Semenov, E.L. Pasiliao. Multitask deep learning for native language identification. Knowledge-Based Systems, v. 209, 2020
  • A. Semenov, A. Veremyev, A. Nikolaev, E.L. Pasiliao, V. Boginski. Network-based indices of individual and collective advising impacts in mathematics. Computational Social Networks, 2020, 7: 1. DOI: 10.1186/s40649-019-0075-0
  • A. Veremyev, A. Semenov, E.L. Pasiliao, V. Boginski. Graph-Based Exploration and Clustering Analysis of Semantic Spaces. Applied Network Science, special issue on machine learning with graphs, 2019, DOI: 10.1007/s41109-019-0228-y
  • G. Xu, A. Semenov, M. Rysz. An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks. Optimization Letters, 2019, DOI: 10.1007/s11590-019-01465-2
  • A. Semenov, A.V. Mantzaris, A. Nikolaev, A. Veremyev, J. Veijalainen, E.L. Pasiliao, V. Boginski. Exploring social media network landscape of post-Soviet space. IEEE Access, 7: p. 411-426, 2019. DOI: 10.1109/ACCESS.2018.2885479
  • W. Geremew, N.M. Nam, A. Semenov, V. Boginski, E.L. Pasiliao. A DC programming approach for solving multicast network design problems via the Nesterov smoothing technique. Journal of Global Optimization, 2018. DOI: 10.1007/s10898-018-0671-9
  • M. Samadi, R. Nagi, A. Semenov, A. Nikolaev. Seed activation scheduling for influence maximization in social networks, Omega, Volume 77, 2018, p. 96-114
  • R. Gopalsamy, A. Semenov, E.L. Pasiliao, S. McIntosh, A. Nikolaev. Establishing Engagement as a Driver of Growth of Online Health Communities. Journal of Medical Internet Research . 19(8):e304, 2017, DOI: 10.2196/jmir.724
  • D. Duvanova, A. Nikolsko-Rzhevskyy, A. Nikolaev, A. Semenov. Violent Conflict and Online Segregation: An analysis of social network communication across Ukraine’s regions, Journal of Comparative Economics, Volume 44, Issue 1, 2016, p. 163-181
  • D. Duvanova, A. Nikolaev, A. Semenov. Do social networks bridge political divides? The analysis of VKontakte social network communication in Ukraine. Post-Soviet Affairs, p. 224-249, Volume 31, Issue 3, 2015, DOI:10.1080/1060586X.2014.918453
  • M. Stearns, S. Nambiar, A. Nikolaev, S. McIntosh, A. Semenov. Towards Evaluating and Enhancing the Reach of Online Health Forums as a Treatment of Smoking, Network Modeling Analysis in Health Informatics and Bioinformatics 3(1), 2014, p. 1-11
  • A. Semenov, J. Veijalainen. A modeling framework for social media monitoring, Int. J. of Web Engineering and Technology, 2013, Vol.8, No.3, p. 217-49
  • A. Semenov, J. Veijalainen, J. Kyppo. Analysing the presence of school-shooting related communities at social media sites. International Journal of Multimedia Intelligence and Security (IJMIS), 1(3), 2010, p. 232-268
Refereed Conference Articles
  • A. Semenov, A. Veremyev, D. McMann, E. L. Pasiliao, V. Boginski, “Sparsified Neural Network Architectures Inspired by Optimal Strongly Attack Tolerant Network Configurations", Accepted. Proceedings of DIS 2025
  • A. Semenov, M. Hirsch, P. Pardalos, “Utilizing Large Language Models in Finding Roots to Nonlinear Systems of Equations: Solutions, Accuracy, and Prompt Design", Accepted. Proceedings of AAIM 2025
  • A. Semenov, C. Banerjee Mukherjee, V. Boginski, E. Pasiliao, T. Mukherjee, “Gradient Upsampling for Enhanced Image Resolution and Classification", Computational Data and Social Networks. CSoNet 2024
  • A. Veremyev, A. Semenov, E. Pasiliao, V. Boginski, “Graph-Based Approaches for Image Space Exploration and Representative Set Selection", Computational Data and Social Networks. CSoNet 2024
  • A. Baranwal, A. Semenov, P. Salgado, K. Priola, Y. Yao, G. Keenan, T. Macieira, “Leveraging Generative Pre-Trained Transformer Models for Standardizing Nursing Data", 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), pp. 386-391, doi: 10.1109/ICHI61247.2024.0005, 2024
  • A. Jarynowski, Ł. Czekaj, A. Semenov, V Belik, “Multiplex Network Approach for Modeling the Spread of African Swine Fever in Poland", In: Hà, M.H., Zhu, X., Thai, M.T. (eds) Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science, vol 14479. Springer, Singapore, 2024
  • Z. Qiang, E. L. Pasiliao, A. Semenov, Q. P. Zheng, “Incorporating Neighborhood Information and Sentence Embedding Similarity into a Repost Prediction Model in Social Media Networks", In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023
  • M. Röckl, M. Paul, A. Jarynowski, A. Semenov, V. Belik, “Driving Factors of Polarization on Twitter During Protests Against COVID-19 Mitigation Measures in Vienna", In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023
  • M. Borisov, V. Kolycheva, A. Semenov, D Grigoriev, “The Influence of Color on Prices of Abstract Paintings", In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks . CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. 2023
  • H. Heinonen, A. Semenov, “Recycling Hashes from Reversible Bitcoin Mining to Seed Pseudorandom Number Generators", International Conference on Blockchain (SCF ICBC 2021).
  • A . Jarynowski, A. Semenov, M. Wojta-Kempa, V. Belik, “Social cohesion during the stay-at-home phase of the first wave of the COVID-19 pandemic on Polish-speaking Twitter", In: Mohaisen, D., Jin, R. (eds) Computational Data and Social Networks. CSoNet 2021. Lecture Notes in Computer Science, vol 13116. Springer, Cham, 2021
  • A. Semenov, A. Veremyev, E.L. Pasiliao, V. Boginski, “Double-Threshold Models for Network Influence Propagation", CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020
  • A. Jarynowski, A. Semenov, V. Belik, “Protest Perspective Against COVID-19 Risk Mitigation Strategies on the German Internet", CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020
  • H. Heinonen, A. Semenov, V. Boginski, “Collective Behavior of Price Changes of ERC-20 Tokens", CSoNet 2020. Lecture Notes in Computer Science, vol 12575. Springer, Cham. 2020
  • G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “What Key Aspects Do ICOs Reveal About Their Businesses?", International Conference on Agile Software Development, pp. 41-49, 2020
  • G. Laatikainen, A. Semenov, Y. Zhang, P. Abrahamsson, “ICO Crowdfunding: Incentives, Pricing Strategy, Token Strategy and Crowd Involvement", International Conference on Agile Software Development, pp. 32-40, 2020
  • A. Semenov, V. Boginski , E. L. Pasiliao, “Neural Networks with Multidimensional Cross-Entropy Loss Functions", CSoNet 2019, International Conference on Computational Social Networks, pp. 57-62, 2019
  • A. Nikolaev, A. Semenov, E. L. Pasiliao, “Sampled Fictitious Play on Networks", CSoNet 2019, International Conference on Computational Social Networks, pp. 33-44, 2019
  • G. Pandey, A. Baranwal, A. Semenov, “Identifying Images with Ladders using Deep CNN Transfer Learning", In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019 (Proceedings of the 11th KES International Conference on Intelligent Decision Technologies), vol 142.
  • A. Semenov, A. Veremyev, A. Nikolaev, E. L. Pasiliao, V. Boginski, “Ranking Academic Advisors: Analyzing scientific advising impact using MathGenealogy social network", CSoNet 2018, International Conference on Computational Social Networks, pp. 437-449, 2018
  • O. Shirokikh, G. Pastukhov, A. Semenov, S. Butenko, A. Veremyev, E. L. Pasiliao, V. Boginski, “The Network of Causal Relationships in the U.S. Stock Market", CSoNet 2018 (short), LNCS 11280, pp. 541 - 542, 2018
  • A. Semenov, G. Pandey, D. Kotkov, “Markov Decision Processes for Fake Accounts Detection", CSoNet 2018 (short), LNCS 11280, pp. 539 - 540, 2018
  • D. Kotkov, G. Pandey, A. Semenov, “Gaming Bot Detection: A Systematic Literature Review", CSoNet 2018, International Conference on Computational Social Networks, pp. 247-258, 2018
  • G. Pandey, D. Kotkov, A. Semenov, “Recommending Serendipitous Items using Transfer Learning". In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM ’18). ACM, New York, NY, USA, pp. 1771-1774, 2018
  • D. Köse, A. Semenov, T. Tuunanen, “Utilitarian Use of Social Media Services: A Study on Twitter". In Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018), pp. 1046-1055, 2018
  • A. Romanov, A. Semenov, J. Veijalainen, “Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis". In Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-246-2, pp. 51-58, 2017
  • A. Romanov, A. Semenov, O. Mazhelis, J. Veijalainen, “Detection of Fake Profiles in Social Media - Literature Review". In Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-246-2, pp. 363-369, 2017
  • B. Zhang, D. Kotkov, J. Veijalainen, A. Semenov, “Online Stakeholder Interaction of Some Airlines in the Light of Situational Crisis Communication Theory", Conference on e-Business, e-Services and e-Society, 2016
  • A. Semenov, A. Nikolaev, A. Veremyev, V. Boginski, E.L. Pasiliao, “Analysis of Viral Advertisement Re-Posting Activity in Social Media". In: Nguyen H., Snasel V. (eds) Computational Social Networks. CSoNet 2016. Lecture Notes in Computer Science, vol 9795. Springer, 2016
  • D. Kose, J Veijalainen, A Semenov, “Identity Use and Misuse of Public Persona on Twitter", WEBIST 2016: Proceedings of the 12th International conference on web information systems and technologies. Volume 1, 978-989-758-186-1, 2016
  • J Veijalainen, A. Eremeev, G. Korneev, A. Semenov, “The Spanning Tree based Approach for Solving the Shortest Path Problem in Social Graphs", Proceedings of WEBIST 2016, ISBN: 978-989-758-186-1, 2016
  • A. Farseev, D. Kotkov, A. Semenov, J. Veijalainen, Tat-Seng Chua, “Cross-Social Network Collaborative Recommendation", Proceedings of the ACM Web Science Conference, 38, 2015
  • J. Veijalainen, A. Semenov, M. Reinikainen, “User influence and follower metrics in a large Twitter dataset", WEBIST 2015: Proceedings of the 11th International conference on web information systems and technologies, 2015
  • B. Zhang, A. Semenov, M. Vos, J. Veijalainen, “Understanding Fast Diffusion of Information in the Social Media Environment. A Comparison of Two Cases", In ICC 2014 Conference Proceedings, pp. 522-533, 2014
  • M. Hajeer, D. Dasgupta, A. Semenov, J. Veijalainen, “Distributed evolutionary approach to data clustering and modeling". in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 142 - 148, 2014
  • A. Semenov, J. Veijalainen, M. Hajeer, D. Dasgupta, “Political Communities in Russian Portion of Livejournal," in 2014 International Conference on Computational Science and Computational Intelligence (CSCI), vol. 1, pp. 314 - 319, 2014
  • A. Semenov, A. Nikolaev, J. Veijalainen, “Online Activity Traces Around a "Boston Bomber"", International Symposium on Foundation of Open Source Intelligence and Security Informatics, In Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, ON, Canada, pp. 1050 - 1053, 2013
  • A. Semenov, “Analysis of services in Tor network". 12th European Conference on Information Warfare and Security ECIW-2013, Jyvaskyla, Finland, 2013
  • B. Bisong, E. Asonganyi, A. Gontarenko, A. Semenov, J. Veijalainen “Mobile Healthcare System for Sub-Saharan Africa", MOBIHEALTH 2012 proceedings, Paris, France, 2012
  • A. Semenov, J. Veijalainen, “A Repository for multirelational dynamic networks", International Workshop on Complex Social Network Analysis (CSNA), The 2012 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey DOI: 10.1109/ASONAM.2012.174, 2012
  • A. Semenov, J. Veijalainen, “Ontology-Guided Social Media Analysis, System Architecture", SCOE Special Session, In conjunction with the 14th International Conference on Enterprise Information Systems - ICEIS 2012, Wroclaw, Poland DOI: 10.5220/0004157303350341, 2012
  • A. Semenov, J. Veijalainen, A. Boukhanovsky, “A generic Architecture for a Social Network Monitoring and Analysis System". 14th International Conference on Network-Based Information Systems (NBiS), pp. 178-185, DOI: 10.1109/NBiS.2011.52, 2011
  • J. Veijalainen, A. Semenov, J. Kyppö, “Tracing potential school shooters in the digital sphere". Proc. Of ISA 2010 conference, Miyazaki, Japan, June 2010. CCIS # 76, Springer Verlag 2010, pp. 163-178. DOI: 10.1007/978-3-642-13365-7_16, 2010
Refereed Book Chapters
  • B. Robertson, A. Semenov, T. Skluzacek, H. Coburn, M. Miller, “Nightmare Disorder: An Overview," in Handbook of AI and Data Sciences for Sleep Disorders, Editors: R. B. Berry, P. M. Pardalos, X. Xian, 2024
  • M. Rysz, G. Xu, A. Semenov, “A Two-Stage Stochastic Programming Approach for the Key Management q-Composite Scheme," in Handbook of Trustworthy Federated Learning, Editors: My T. Thai, Hai N. Phan, Bhavani Thuraisingham, 2024
  • W. Trevena, A. Semenov, P. Pardalos, I. Kotsireas, M. J. Hirsch, “Employing the Cloud for finding Solutions to Large Systems of Nonlinear Equations," Editors: Rentsen Enkhbat, Altannar Chinchuluun, Panos Pardalos, Springer, 2023
  • A. Semenov, M. Rysz, G. Demeyer, “Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks," in Synthetic Aperture Radar (SAR) Data Applications, Editors: Maciej Rysz, Arsenios Tsokas, Kathleen Dipple, Kaitlin Fair, Panos Pardalos, Springer, 2022
  • A. Romanov, A. Semenov, J. Veijalainen, “Repository for Multirelational Dynamic Networks," in Encyclopedia of Social Network Analysis and Mining, R. Alhajj and J. Rokne, Eds. New York, NY: Springer New York, pp. 1-16, 2017
Other Peer-Reviewed Publications
  • In Finnish: M. Lonkila, E. Luhtakallio, T. Ylä-Anttila, P. Jokivuori, A. Semenov. Justification networks: how to analyze the interrelationships of justifications presented in public discourses (Oikeuttamisverkostot: miten analysoida julkisissa keskusteluissa esitettyjen oikeutusten keskinäisiä suhteita.) Sosiologia, 58(3), 2021, pp. 269-284.
  • In Russian: A. Semenov, A. Boukhanovsky. Metrological analysis in social networks: Izv.vuzov, Priborostrienie, 2011
  • In Russian: A. Semenov, A. Boukhanovsky. Metrology for high-performance computations and networks, Vestnik ITMO, 2008