AITHD-2025: International Conference on Artificial Intelligence as a Technology of Human Development
Description
This book is based on the best papers accepted for presentation during the AITHD-2025: International Conference on Artificial intelligence as a Technologies of Human Development on September 17-19, 2025, in Vernadsky Federal University and North Caucasus Federal University, Russia, and online.
This book presents original research conducted at the intersection of artificial intelligence and human development. The main topics covered in this collection include the development of neural network classifiers applied to various domains such as transport analysis, emotion recognition, and land use classification, as well as the analysis of user preferences and literary texts using machine learning techniques. Key cybersecurity tasks addressed here include anomaly detection, phishing and malware detection, hybrid post-quantum cryptographic approaches, and cyber resilience assessment of critical infrastructure facilities.
Special attention is paid to the intersection of AI with human health. This includes research on brain age estimation, driver drowsiness detection, diagnosis of mental disorders based on speech biomarkers, and epileptic seizure detection. Applications in the food industry and agriculture, the transformation of education through adaptive learning systems, and fundamental research areas such as bias in recommendation systems, differential privacy mechanisms, and optimization of quantum key distribution protocols are also covered.
The book is intended for specialists working in AI, machine learning, information security, data science, educational technology, and other related disciplines.
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Persons
Dr. Maria Lapina is an associate professor of the Department of Computational Mathematics and Cybernetics at North Caucasus Federal University, Stavropol, Russia. She received Ph.D. in mathematics from Stavropol State University. She defended her master's thesis in Information security. Her research interests include Data Science, Machine Learning, Cybersecurity, Trusted Artificial Intelligence, Edu-Tech. She has more than 100 research papers. She is an editorial board member for Springer Nature, IGI Global. She has participated in international internships at Sapienza University of Rome (Italy), the University of Ljubljana (Slovenia), the Technical University of Dresden (Germany), and the 2nd ASEF Innovation Laboratory of Higher Education (ASEFInnoLab) at Fudan University in Shanghai, China. She is a finalist of the All-Russian management competition "Leaders of Russia."
Dr. Mary Anita E A, a passionate teacher and researcher, holds a Ph.D. in Computer Science and Engineering from Anna University, Chennai. Her undergraduate and post graduate degrees in Engineering are from Government College of Engineering, Tirunelveli. An experienced academician with 35 years of teaching and research experience in the field of network security, she has authored 100+ papers, completed two significant research projects over the course of her career and has been actively involved in securing funding from various agencies to organize academic events. She has guided 12 research scholars and presently guiding 4 scholars. She is currently serving as the associate dean, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, India.
Prof. Mikhail Babenko is the head of the Department of Computational Mathematics and Cybernetics North-Caucasus Federal University, Russia. He received Ph.D. in Mathematical modeling, numerical methods, and software. He took internships in CICESE Research Center in México; Le Quy Don Technical University, Hanoi, Vietnam in 2015; University of Lorraine, Nancy, France in 2017. Research area: Security, Cryptography, Residue Number System, Neurocomputer Technologies, Digital Signal Processing, Big Data, Internet of Things, Fog-Edge-Cloud Computing, Trust, Uncertainty, Scalable and Reliable Systems, Elliptic Curve, Cryptographic Methods of Information Protection, and Cybersecurity.
Prof (Dr.) Vijay Anant Athavale has an experience of over 34 years in academics and research. He has published several research papers in indexed journals. He regularly contributes in various International Conferences as Conference Chair, Key Note Speaker, Session Chair, Organizing Committee Member, etc. He is a reviewer for several indexed journals. He has contributed several chapters in books and handbooks published by IGI Global USA, Taylor and Francis Group, UK, Springer, etc. His research interests include the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, Cybersecurity, and Cloud Computing. He is a member of several international professional bodies.
Dr. Umar Muhammad Modibbo is a senior lecturer at Modibbo Adama University, Nigeria, with a Ph.D. in Operations Research from Aligarh Muslim University (2021). A recipient of TETFund and InSc Research Excellence awards, his work focuses on Mathematical Programming, Fuzzy Optimization, and SDGs. He is the president of ORIDSAN and an executive member of AFROS and IFORS. With over 50 publications and 1,000 citations, Dr. Modibbo is a leading researcher, international reviewer, and speaker contributing significantly to Artificial Intelligence, decision sciences, and analytics.
Prof. Andrei Tchernykh is a full professor in Computer Science at CICESE Research Center (Centro de Investigación Científica y de Educación Superior de Ensenada), Ensenada, Baja California, Mexico and an adjunct professor at ISP RAS-Institute for System Programming of the Russian Academy of Sciences, Russia. He gained industrial experience as supercomputer design team leader in Advance Technical Products Corp and Supercomputer Design Department of Electro-Mechanical Enterprise. He received Ph.D. degree in Computer Science from the IPMCE in 1986. He is a founding member of the Mexican Supercomputer Society (RedMexSu), a regional president of Global Association for Academic Supervision (GAAS) Latin America, and member of the Mexican National Researchers System SNI level II. He is an editorial board member of journals and served as a guest editor for special issues.
Content
Intelligent, lightweight and secure authentication scheme for smart home.- Comparative Analysis of the Effectiveness of Various Machine Learning Models in Content Generation Tasks.- Deepfakes as a Cyberattack Tool: New Vectors of Social Engineering.- Development of a Classifier of Motor Transport Based on Neural Networks.- Research and Development of a Software Module for Analyzing the Preferences of Online Store Users.- Development of a Classifier of Human Emotions Based on Neural Networks.- Approaches to the Analysis of Literary Texts Using Machine Learning Technologies.- Analysing Deep Learning Models for Detecting Anomalies in Video Surveillance Data.- Direct Response Advertising for Small Businesses in the Tourism Industry: An Analysis of Effectiveness (Based on the Promotion of a Custom Tour to the Caucasus).- Comparative Analysis of Deep Learning and Ensemble Methods for Intrusion Detection in IoT Networks.- Actualization of the "Hero Image" as a Consequence of the Convergence of Artificial Intelligence and Telecommunication Systems. -Optimization of Winemaking Processes Using Artificial Intelligence Methods.