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Umeå universitet
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Huvudmenyn dold.
Personalbild Monowar Bhuyan

Monowar Bhuyan

Jag är universitetslektor, leder Cyber Analytics and Learning Group inom ADSLab, https://cloudresearch.org/.

0000-0002-9842-7840

Kontakt

E-post
monowar.bhuyan@umu.se
Telefon
090-786 67 05

Verksam som

Anknytning
Universitetslektor vid Institutionen för datavetenskap
Plats
MIT-huset, Umeå universitet, MIT.B.217 Umeå universitet, 901 87 Umeå

Jag arbetar främst med maskininlärning, avvikelsedetektering, säkerhet och integritet, pålitlig AI och distribuerade system.

Monowar erhöll en doktorsexamen i datavetenskap och teknik från Tezpur University (ett centralt universitet i Indien) 2014. Han var forskare vid institutionen för datavetenskap och teknik vid Tezpur University (ett centralt universitet), Indien, biträdande professor och docent vid institutionen för datavetenskap och teknik vid Assam Kaziranga University, Jorhat, Indien, arbetade som forskare vid institutionen för datavetenskap, Umeå universitet, Sverige, gästforskare vid Laboratory for Cyber Resilience vid NAIST, Japan, finansierad av NICT, Japan, och biträdande professor vid institutionen för datavetenskap, Umeå universitet, Sverige från januari 2009 till november 2024. Han arbetar främst med maskininlärning (distribuerad/federerad/ansvarig), anomalidetektering, system- och AI-säkerhet, Edge AI och distribuerade system.

Läs mer på min institutionssida.

Predicting event memorability using personalized federated learning
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Institute for Electrical and Electronics Engineers Inc. 2025 : 1556-1565
Banerjee, Sourasekhar; Roy, Debaditya; Bhuyan, Monowar H.
Adaptive deviation learning for visual anomaly detection with data contamination
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV): proceedings, IEEE 2025 : 8863-8872
Das, Anindya Sundar; Pang, Guansong; Bhuyan, Monowar
Cost-efficient feature selection for horizontal federated learning
IEEE Transactions on Artificial Intelligence, Institute of Electrical and Electronics Engineers (IEEE) 2024, Vol. 5, (12) : 6551-6565
Banerjee, Sourasekhar; Bhuyan, Devvjiit; Elmroth, Erik; et al.
Personalized multi-tier federated learning
ICONIP 2024, 31st International Conference on Neural Information Processing, Auckland, New Zealand, December 2-6, 2024
Banerjee, Sourasekhar; Dadras, Ali; Yurtsever, Alp; et al.
A combination learning framework to uncover cyber attacks in IoT networks
Internet of Things: Engineering Cyber Physical Human Systems, Elsevier 2024, Vol. 28
Behera, Arati; Sahoo, Kshira Sagar; Mishra, Tapas Kumar; et al.
Message from the PC Chairs, IEEE AITest 2024
Proceedings - 6th IEEE International Conference on Artificial Intelligence Testing: AITest 2024, Institute of Electrical and Electronics Engineers (IEEE) 2024 : XI-XI
Bhuyan, Monowar; Chen, Haihua
Few-shot anomaly detection in text with deviation learning
Neural Information Processing. ICONIP 2023, Singapore: Springer 2024 : 425-438
Das, Anindya Sundar; Ajay, Aravind; Saha, Sriparna; et al.
Efficient anomaly detection for edge clouds: mitigating data and resource constraints
IEEE Access, IEEE 2024, Vol. 12 : 171897-171910
Forough, Javad; Haddadi, Hamed; Bhuyan, Monowar; et al.
Efficient anomaly detection for edge clouds: mitigating data and resource constraints
Forough, Javad; Haddadi, Hamed; Bhuyan, Monowar H.; et al.
Wave2Graph: integrating spectral features and correlations for graph-based learning in sound waves
AI OPEN, Elsevier 2024, Vol. 5 : 115-125
Hoang, Van-Truong; Tran, Khanh-Tung; Vu, Xuan-Son; et al.
Revisiting edge AI: opportunities and challenges
IEEE Internet Computing, IEEE 2024, Vol. 28, (4) : 49-59
Meuser, Tobias; Loven, Lauri; Bhuyan, Monowar H.; et al.
Collaborative cloud resource management and task consolidation using JAYA variants
IEEE Transactions on Network and Service Management, Institute of Electrical and Electronics Engineers (IEEE) 2024, Vol. 21, (6) : 6248-6259
Mishra, Kaushik; Majhi, Santosh Kumar; Sahoo, Kshira Sagar; et al.
FloRa: flow table low-rate overflow reconnaissance and detection in SDN
IEEE Transactions on Network and Service Management, Institute of Electrical and Electronics Engineers (IEEE) 2024, Vol. 21, (6) : 6670-6683
Mudgal, Ankur; Verma, Abhishek; Singh, Munesh; et al.
Enhancing machine learning performance in dynamic cloud environments with auto-adaptive models
The 15th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2024): Proceedings, IEEE 2024 : 184-191
Nguyen, Chanh; Bhuyan, Monowar; Elmroth, Erik
Towards designing an energy efficient accelerated sparse convolutional neural network
2024 IEEE 36th international conference on tools with artificial intelligence (ICTAI), IEEE 2024 : 969-974
Rathor, Vijaypal Singh; Singh, Munesh; Gupta, Rahul; et al.
Securing P4-SDN data plane against flow table modification attack
NOMS 2024-2024 IEEE Network Operations and Management Symposium
Reddy, Buchammagari Avinash; Sahoo, Kshira Sagar; Bhuyan, Monowar
Robust procedural learning for anomaly detection and observability in 5G RAN
IEEE Transactions on Network and Service Management, IEEE 2024, Vol. 21, (2) : 1432-1445
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
Detecting DDoS attacks on the network edge: an information-theoretic correlation analysis
2023 IEEE 22nd international conference on trust, security and privacy in computing and communications (TrustCom), IEEE 2023 : 485-494
Araki, Ryosuke; Sahoo, Kshira Sagar; Taenaka, Yuzo; et al.
Towards post-disaster damage assessment using deep transfer learning and GAN-based data augmentation
ICDCN '23: Proceedings of the 24th International Conference on Distributed Computing and Networking, ACM Digital Library 2023 : 372-377
Banerjee, Sourasekhar; Patel, Yashwant Singh; Kumar, Pushkar; et al.
Semi-supervised range-based anomaly detection for cloud systems
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1290-1304
Deka, Pratyush Kr.; Verma, Yash; Bhutto, Adil Bin; et al.
Unified identification of anomalies on the edge: a hybrid sequential PGM approach
2023 IEEE 22nd international conference on trust, security and privacy in computing and communications (TrustCom), IEEE 2023 : 595-604
Forough, Javad; Bhuyan, Monowar; Elmroth, Erik
Anomaly detection and resolution on the edge: solutions and future directions
2023 IEEE International Conference on Service-Oriented System Engineering (SOSE): Proceedings, IEEE 2023 : 227-238
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
ADCluster: Adaptive Deep Clustering for unsupervised learning from unlabeled documents
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), Association for Computational Linguistics 2023 : 68-77
Hatefi, Arezoo; Vu, Xuan-Son; Bhuyan, Monowar H.; et al.
Towards a workload mapping model for tuning backing services in cloud systems
Database and expert systems applications: 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part I, Springer Science and Business Media Deutschland GmbH 2023 : 266-280
Kumar, Gaurav; Sahoo, Kshira Sagar; Bhuyan, Monowar H.
Combining block bootstrap with exponential smoothing for reinforcing non-emergency urban service prediction
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 4335-4343
Sahoo, Kshira Sagar; Krishana, Shivam; Bhuyan, Monowar H.
Bottleneck identification and failure prevention with procedural learning in 5G RAN
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), IEEE 2023 : 426-436
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
COGNIT: challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum
2023 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE 2023 : 12-22
Townend, Paul; Martí, Alberto P.; De La Iglesia, Idoia; et al.
MetaVSID: a robust meta-reinforced learning approach for VSI-DDoS detection on the edge
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1625-1643
Vu, Xuan-Son; Ma, Maode; Bhuyan, Monowar H.
Optimized and adaptive federated learning for straggler-resilient device selection
2022 International Joint Conference on Neural Networks (IJCNN), IEEE 2022 : 1-9
Banerjee, Sourasekhar; Vu, Xuan-Son; Bhuyan, Monowar H.
Personalized multi-tier federated learning
FL-NeurIPS'22, International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022, New Orleans, LA, USA, December 2, 2022
Banerjee, Sourasekhar; Yurtsever, Alp; Bhuyan, Monowar H.
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds
IEEE Access, IEEE 2022, Vol. 10 : 94677-94690
Bhutto, Adil B.; Vu, Xuan-Son; Elmroth, Erik; et al.
Welcome message from the TPC chairs of IEEE JCC 2022
Proceedings: 2022 IEEE International Conference on Joint Cloud Computing (JCC), IEEE Computer Society 2022 : IX-IX
Bhuyan, Monowar H.; Xu, Lijie
Argumentation-based adversarial regression with multiple learners
2022 IEEE 34th international conference on tools with artificial intelligence (ICTAI), IEEE 2022 : 96-104
Bhuyan, Monowar; Nieves, Juan Carlos
A survey on blockchain, SDN and NFV for the smart-home security
Internet of Things: Engineering Cyber Physical Human Systems, Elsevier 2022, Vol. 20
Douha, N'guessan Yves-Roland; Bhuyan, Monowar H.; Kashihara, Shigeru; et al.
Dela: a deep ensemble learning approach for cross-layer VSI-DDoS detection on the edge
Proceedings of the International Conference on Distributed Computing Systems
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
Uncovering latency anomalies in 5G RAN - A combination learner approach
2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE 2022 : 621-629
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
Unsupervised root-cause identification of software bugs in 5G RAN
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC): Proceedings, IEEE 2022 : 624-630
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges
2022 1st International Conference on 6G Networking, 6GNet 2022
Tarneberg, William; Fitzgerald, Emma; Bhuyan, Monowar H.; et al.
Fed-FiS: A Novel Information-Theoretic Federated Feature Selection for Learning Stability
Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V, Springer Nature 2021 : 480-487
Banerjee, Sourasekhar; Elmroth, Erik; Bhuyan, Monowar H.
Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach
ARES 2021: The 16th International Conference on Availability, Reliability and Security
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ACM Digital Library 2021 : 3078-3082
Hatefi, Arezoo; Vu, Xuan-Son; Bhuyan, Monowar H.; et al.
D-LBAH: Dynamic Load Balancing Algorithm for HEC-SDN systems
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud), IEEE 2021 : 304-310
Mbacke Babou, Cheikh Saliou; Fall, Doudou; Kashihara, Shigeru; et al.
DeL-IoT: A Deep Ensemble Learning Approach to Uncover Anomalies in IoT
Internet of Things: Engineering Cyber Physical Human Systems, Elsevier 2021, Vol. 14
Tsogbaatar, E.; Bhuyan, Monowar H.; Taenaka, Y.; et al.
A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications
Advances and Trends in Artificial Intelligence: Artificial Intelligence Practices : Proceedings, Part I, Springer 2021 : 530-543
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Fall, Doudou; et al.
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting
ICONIP 2020: Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V, Thailand: Springer Berlin/Heidelberg 2020 : 113-120
Agarwal, Ayush; Chivukula, Aneesh Sreevallabh; Bhuyan, Monowar H.; et al.
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images
2020 International Joint Conference on Neural Networks (IJCNN): Proceedings
Alnefaie, Ahlam; Gupta, Deepak; Bhuyan, Monowar H.; et al.
Hierarchical Load Balancing and Clustering Technique for Home Edge Computing
IEEE Access, IEEE 2020, Vol. 8 : 127593-127607
Babou, Cheikh Saliou Mbacke; Fall, Doudou; Kashihara, Shigeru; et al.
Multi-Diseases Classification From Chest-X-Ray: A Federated Deep Learning Approach
AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings, Springer 2020 : 3-15
Banerjee, Sourasekhar; Misra, Rajiv; Prasad, Mukesh; et al.
Boosted Ensemble Learning for Anomaly Detection in 5G RAN
Artificial Intelligence Applications and Innovations, AIAI 2020, Springer 2020 : 15-30
Sundqvist, Tobias; Bhuyan, Monowar H.; Forsman, Johan; et al.
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Springer 2020 : 268-280
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Taenaka, Yuzo; et al.
Visa publikationer i DiVA

Jag har lång erfarenhet av att undervisa i flera kurser och handleda kandidat- och masteruppsatser samt doktorander. På UMU undervisade jag i många kurser -- Cloud Computing (5DV192), Distributed Systems (5DV186), Operating Systems (5DV171) och Computer Security (5DV220). Jag undervisar ofta i Operating Systems (5DV171) och handleder flera kandidat- och masteruppsatser i varje session.