Кумар Сэчин

E-mail: 
kumars[at]susu[dot]ru
Индекс Хирша: 
РИНЦ 9
Scopus 17
Web of Science 11
Знание иностранных языков: 
Hindi, English, Russian, Sanskrit, Bengali, Spanish
Научные интересы: 
Artificial Intelligence, Smart Healthcare, Smart Transportation, Deep Learning, Cognitive Science, Human Computer Interaction, Natural Language Processing
Научные профили: 
Статьи и монографии за последние три года: 
Singh, A.K. An Efficient and Secure CLAKA Protocol for Blockchain-Aided Wireless Body Area Networks / A.K. Singh, S.. Kumar //Expert Systems with Applications.–2024.–Vol. 242
A Linear Quadratic Regression-Based Synchronised Health Monitoring System (SHMS) for IoT Applications / D.. Upadhyay //Electronics (Switzerland).–2023.–Vol. 12 No. 2
An Improved JPEG Image Blocking Artifact Detector / A.. Soni //Brazilian Archives of Biology and Technology.–2023.–Vol. 66
Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images / R.F. Mansour //Neural Computing and Applications.–2023.–Vol. 35 No. 22.– P.16037-16049
Automated Segmentation of Brain Tumor MRI Images using Deep Learning / S.. Rajendran //IEEE Access.–2023.–Vol. 11.– P.64758-64768
Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT / T.. Vaiyapuri //IEEE Access.–2023.–Vol. 11.– P.55370-55379
CNN-BI-LSTM-CYP: A deep learning approach for sugarcane yield prediction / P.. Saini //Sustainable Energy Technologies and Assessments.–2023.–Vol. 57
Deep-learning-enabled multimodal data fusion for lung disease classification / Kumar, S. //Informatics in Medicine Unlocked.–2023.–Vol. 42
Edge-Empowered Communication based Vehicle and Pedestrian Trajectory Perception System for Smart Cities / S.. Chavhan //IEEE Internet of Things Journal.–2023
Edge-enabled Blockchain-based V2X Scheme for Secure Communication within the Smart City Development / S.. Chavhan //IEEE Internet of Things Journal.–2023
Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review / S.. Rani //Knowledge-Based Systems.–2023.–Vol. 274
Intermediate fusion approach for pneumonia classification on imbalanced multimodal data / О.Н. Иванова //Вестник Южно-Уральского государственного университета. Серия «Вычислительная математика и информатика».–2023.–Том 12 № 3.– C.19-30
SDN and application layer DDoS attacks detection in IoT devices by attention-based Bi-LSTM-CNN / I.. Priyadarshini //Transactions on Emerging Telecommunications Technologies.–2023.–Vol. 34 No. 11
SmartHealth: An intelligent framework to secure IoMT service applications using machine learning / S.. Rani //ICT Express.–2023
Survivability of industrial internet of things using machine learning and smart contracts / I.. Priyadarshini //Computers and Electrical Engineering.–2023.–Vol. 107
A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm / S.. Dash //Axioms.–2022.–Vol. 11 No. 8
A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem / S.. Rout //Information (Switzerland).–2022.–Vol. 13 No. 8
An Automated Hyperparameter Tuning Recurrent Neural Network Model for Fruit Classification / Shankar, K. //Mathematics.–2022.–Vol. 10 No. 13
Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach / M.. Mohapatra //Computers.–2022.–Vol. 11 No. 5
Botnet Detection Employing a Dilated Convolutional Autoencoder Classifier with the Aid of Hybrid Shark and Bear Smell Optimization Algorithm-Based Feature Selection in FANETs / N.F. Abdulsattar //Big Data and Cognitive Computing.–2022.–Vol. 6 No. 4
Brain Tumor Classification Using Dense Efficient-Net / D.. Nayak //Axioms.–2022.–Vol. 11 No. 1
Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches / D.R. Nayak //Computers.–2022.–Vol. 11 No. 1
Chaotic Sparrow Search Algorithm with Deep Transfer Learning Enabled Breast Cancer Classification on Histopathological Images / Kathireshan, S. //Cancers.–2022.–Vol. 14 No. 11
Design of Space Efficient Electric Vehicle Charging Infrastructure Integration Impact on Power Grid Network / S.. Chavhan //Mathematics.–2022.–Vol. 10 No. 19
Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment / F.N. Al-Wesabi //Sustainable Computing: Informatics and Systems.–2022.–Vol. 35
Hyperparameter Tuning Bidirectional Gated Recurrent Unit Model for Oral Cancer Classification / Shankar, K. //Computers, Materials and Continua.–2022.–Vol. 73 No. 3.– P.4541-4557
Integrated Design of Optimized Weighted Deep Feature Fusion Strategies for Skin Lesion Image Classification / N.. Mohanty //Cancers.–2022.–Vol. 14 No. 22
Intelligent data science enabled reactive power optimization of a distribution system / A.. Althobaiti //Sustainable Computing: Informatics and Systems.–2022.–Vol. 35
Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification / T.. Vaiyapuri //Computers and Electrical Engineering.–2022.–Vol. 103
Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine / A.K. Das //Mathematics.–2022.–Vol. 10 No. 7
Robust Automatic Modulation Classification Using Convolutional Deep Neural Network Based on Scalogram Information / A.M. Abdulkarem //Computers.–2022.–Vol. 11 No. 11
A Parallel Approach to Discords Discovery in Massive Time Series Data / Zymbler, M. //Computers, Materials and Continua.–2021.–Vol. 66 No. 2.– P.1867-1876
An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety / I.V. Pustokhina //Safety Science.–2021.–Vol. 142
An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems / M.M. Althobaiti //Measurement: Journal of the International Measurement Confederation.–2021.–Vol. 186
Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems / R.F. Mansour //IEEE Access.–2021.–Vol. 9.– P.45137-45146
Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images / A.K. Jaiswal //IEEE Access.–2021.–Vol. 9.– P.70606-70615
Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification / R.F. Mansour //Pattern Recognition Letters.–2021.–Vol. 151.– P.267-274
A Deep Neural Network Approach to Predict the Wine Taste Preferences / Kraeva, Y. //Advances in Intelligent Systems and Computing.–2020.–Vol. 1125.– P.1165-1173
An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS / Zymbler, M. //Communications in Computer and Information Science.–2020.–Vol. 1223.– P.211-223
Analyzing MRI Scans to Detect Glioblastoma Tumor Using Hybrid Deep Belief Networks / A.. Reddy //Journal of Big Data.–2020.–Vol. 7 No. 1
Cleaning Sensor Data in Smart Heating Control System / Zymbler, M. //Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020.–2020.– P.375-381
Security Challenges and Cyber Forensic Ecosystem in IOT Driven BYOD Environment / M.I. Ali //IEEE Access.–2020 No. 8.– P.172770-172782
Identifying pneumonia in chest X-rays: A deep learning approach / A.K. Jaiswal //Measurement: Journal of the International Measurement Confederation.–2019.–Vol. 145 No. -.– P.511-518
KUMAR, S. A machine learning approach to analyze customer satisfaction from airline tweets / S.. KUMAR, M.. Zymbler //Journal of Big Data.–2019.–Vol. 6 No. 1
Kumar, S. Internet of Things is a revolutionary approach for future technology enhancement: a review / S.. Kumar, P.. Tiwari, M.. Zymbler //Journal of Big Data.–2019.–Vol. 6 No. 1
Twitter-based Opinion Mining for Flight Service Utilizing Machine Learning / P.. Tiwari //Informatica (Slovenia).–2019.–Vol. 43 No. 3.– P.381-386
Финансируемые российские научно-исследовательские проекты и гранты: 
Грант РНФ 23-21-10009 «Разработка высокоточных моделей, методов и алгоритмов с использованием многомодальных методов глубокого обучения для ранней диагностики заболеваний легких» (2023–2024, руководитель)
Гос.задание FENU-2020-0022 «Математические основы, модели и алгоритмы цифровой индустрии» (2020–2022, исполнитель)
Российские патенты (включая свидетельства о регистрации программ): 
Модель классификации мультимодальных данных о заболеваниях легких на основе позднего слияния модальностей
Достижения, поощрения и награды: 
Member of Editorial Board (Associate Editor), Heliyon, Cell Press, Q1 Scopus
Member of Editorial Board, Computers, Materials, and Coninua, Tech Science Press
Лауреат премии «Признание ЮУрГУ 2022» в номинации «Наука»
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