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Debasish Ghose

- Professor
Department of Technology
Fakultet for helse og teknologi

Background

Debasish Ghose is a Professor in the School of Economics, Innovation, and Technology at Kristiania University of Applied Sciences, Bergen, Norway. He received his PhD in Information and Communication Technology from the University of Agder, Grimstad, Norway, in 2019.

His research focuses on applied artificial intelligence and machine learning across industrial domains, health informatics, bioinformatics, federated learning, and protocol design, privacy, and security for Internet of Things (IoT) systems. He leads the Health Informatics and Innovation Lab (HII Lab) at Kristiania University of Applied Sciences.

Prof. Ghose has authored or co-authored more than 45 peer-reviewed publications in international journals and conference proceedings. He serves as the project coordinator for the Sustainable AI Literacy in Higher Education through Multilateral Collaborations (SAIL-MC) project (2025–2028), funded by the Norwegian Directorate for Higher Education and Skills (HKDIR).

He teaches courses in Artificial Intelligence and Cybersecurity. Prof. Ghose is a Senior Member of IEEE (Institute of Electrical and Electronics Engineers) and serves as an Editorial Board Member of Discover Artificial Intelligence. He regularly reviews for leading journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Wireless Communications. He has also served on the technical program committees of major conferences such as IEEE GLOBECOM, IEEE ICC, and IEEE WCNC.

Employee details

Scientific Publications
Roy, Mukta, Hossain, Moinul, Mahin, Munshaibur Rahman, Ayon, Zikrul Shariar, Uddin, Jia & Ghose, Debasish (2026). A densely connected deep learning method for joint brain tumor segmentation and classification. Healthcare Analytics. ISSN 2772-4425. 10 p 100494-100494. doi:
10.1016/j.health.2026.100494

Sarker, Dip, Nur, Kamruddin, Rahat, Md Tanzeem, Rudro, Rifat Al Mamun & Ghose, Debasish (2026). SIREX-Net: A Two-Stage Fusion Framework using UNet and RRDB for Satellite Image Restoration with Explainable AI. Expert Systems With Applications. ISSN 0957-4174. p 134218-134218. doi:
10.1016/j.eswa.2026.134218

Bithi, Banik,, Ghose, Debasish, Saptanil, Ghose,, Lin, Yuan, Hasnain, Nahiun, Ahnaf & Shalaginov, Andrii (2026). Frontiers | A Systematic Review of Non-Contact Medical IoT Systems for Physiological Biomarker Monitoring. Frontiers in Medical Technology. ISSN 2673-3129. doi:
10.3389/fmedt.2026.1917332

Saha, Dipanita, Lin, Yuan & Ghose, Debasish (2026). From Challenges to Solutions: A Systematic Review of Multimodal LLMs in Healthcare and Architectural Recommendations with RAG. ACM Transactions on Computing for Healthcare (HEALTH). ISSN 2691-1957. doi:
10.1145/3828166

Rathore, Paarth Singh, Keprate, Arvind, Lakshmi, L. Rajya, Mohammed, Omar D. & Ghose, Debasish (2026). A Two-Stage Machine Learning Approach for Quantitative Gear Crack Detection Using Vibration Signal Analysis. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN 2325-016X. 9(1) p 10-10. doi:
10.36001/phme.2026.v9i1.5008

Mahin, Samiha Muntaha, Hasan, Tahmina, Karim, Sara, Nuha, Maksura Binte Rabbani, Tusher, Ekramul Haque, Hussain, Abdur Rahman, Uddin, Jia & Ghose, Debasish (2026). From Pneumonia to Multi-Disease: Interpretable and Uncertainty-Aware Semi-Supervised Learning Strategies for Chest X-Ray Classification. IEEE Access. ISSN 2169-3536. 14 p 127532-127551. doi:
10.1109/access.2026.3722370

Ibne, Aziz, Ferdaus, Insoo, Koo,, Tumennast, Erdenebold,, Hossain, Jubayer, Fagerstrøm, Asle & Ghose, Debasish (2026). NeuroTrustNet: A Cost-Effective Multimodal Ensemble Framework for Brain Tumor Classification under Cross-Dataset Variability. Frontiers in Artificial Intelligence. ISSN 2624-8212. 9 p 1-16. doi:
10.3389/frai.2026.1900160

Saha, Papri, Fahim, Ahmed Mostakim, Rahat, Md Tanzeem, Nur, Kamruddin & Ghose, Debasish (2026). HCF-Net: Hierarchical and conflict-aware fusion for robust multimodal sentiment understanding. Systems and Soft Computing (SASC). ISSN 2772-9419. 9 doi:
10.1016/j.sasc.2026.200517

Tanvir, Md Iftekhar Monzur, Nadia, Nusrat Yasmin, Rabby, Habibor Rahman, Arif, Md Habibul, Nur, Kamruddin & Ghose, Debasish (2026). Spatial–temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems. Scientific Reports. ISSN 2045-2322. 16(1) doi:
10.1038/s41598-026-45041-y

Banik, Bithi, Lin, Yuan, Shalaginov, Andrii & Ghose, Debasish (2026). FedSmartCare: Design and Implementation of a Federated Learning Enabled Vital-Sign Monitoring System. IEEE Sensors Journal. ISSN 1530-437X. 26(9) p 13948-13967. doi:
10.1109/JSEN.2026.3676888

Haque, Md. Ehsanul, Saykat, Md. Tamim Hasan, Al-Imran, Md, Siam, Ahsan Habib, Uddin, Jia & Ghose, Debasish (2026). An attention enhanced CNN ensemble for interpretable and accurate cotton leaf disease classification. Scientific Reports. ISSN 2045-2322. doi:
10.1038/s41598-025-34713-w

Parvin, Shahnaj, Munsy, Foysal, Rahat, Md Tanzeem, Nahar, Aminun, Nur, Kamruddin & Ghose, Debasish (2025). Robust multi-weather pothole detection: An enhanced YOLOv9 trained on the MWPD dataset. Results in Engineering (RINENG). ISSN 2590-1230. 28 doi:
10.1016/j.rineng.2025.107817

Nagaraja, K., Dash, Soumya P. & Ghose, Debasish (2025). Channel Estimation and Error Analysis of a Narrow FoV VLC System With Random Receiver Orientation. IEEE Open Journal of the Communications Society. ISSN 2644-125X. 6 p 3920-3931. doi:
10.1109/ojcoms.2025.3557522

Nagaraja, Karanam, Dash, Soumya Prakash & Ghose, Debasish (2025). Channel Estimation and Error Analysis of a Narrow FoV VLC System With Random Receiver Orientation. IEEE Open Journal of the Communications Society. ISSN 2644-125X. doi:
https://ieeexplore.ieee.org/author/203081294836215

Kumar, Sushil, Dash, Soumya P., Ghose, Debasish & Alexandropoulos, George C. (2025). RIS-Assisted MIMO CV-QKD at THz Frequencies: Channel Estimation and Secret Key Rate Analysis. IEEE Transactions on Communications. ISSN 0090-6778. 73(12) p 15612-15624. doi:
10.1109/tcomm.2025.3606653

Nath, Rudra Pratap Deb, Raihan, S.M. Shafkat, Das, Tonmoy Chandro, Pedersen, Torben Bach & Ghose, Debasish (2025). CovKG: A Covid-19 Knowledge Graph for enabling multidimensional analytics on Covid-19 epidemiological data considering spatiotemporal, environmental, health, and socioeconomic aspects. International Journal of Information Management Data Insights. ISSN 2667-0968. 5(1) doi:
10.1016/j.jjimei.2025.100325

Ghose, Debasish, Chatterjee, Ayan, Balapuwaduge, Indika A.M., Lin, Yuan & Dash, Soumya P. (2025). Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection. Frontiers in Digital Health. ISSN 2673-253X. 7 doi:
10.3389/fdgth.2025.1523381

Frantzvaag, Mats Ottem, Chatterjee, Ayan, Ghose, Debasish & Dash, Soumya P. (2025). MusicReco: Interactive Interface Modelling with User-Centered Design in a Music Recommendation System. IEEE Access. ISSN 2169-3536. 13 p 30058-30087. doi:
10.1109/ACCESS.2025.3540201

Basu, Aritra, Dash, Soumya P., Kaushik, Aryan, Ghose, Debasish, Renzo, Marco Di & Eldar, Yonina C. (2024). Performance Analysis of RIS-Aided Index Modulation With Greedy Detection Over Rician Fading Channels. IEEE Transactions on Wireless Communications. ISSN 1536-1276. 23(8) p 8465-8479. doi:
10.1109/TWC.2024.3350921

Basu, Aritra, Dash, Soumya P. & Ghose, Debasish (2024). RIS Empowered Index Modulation-Based Receive Diversity Wireless System With Nakagami-m Fading Channels. IEEE Transactions on Vehicular Technology. ISSN 0018-9545. 73(6) p 8153-8168. doi:
10.1109/TVT.2024.3350790

Sheikhi, Saeid, Keprate, Arvind & Ghose, Debasish (2024). Wind Turbine Gearbox Anomaly Detection Using Signal-to-Image Processing Algorithms and Convolutional Autoencoder. Journal of Physics: Conference Series (JPCS). ISSN 1742-6588. 2875 doi:
10.1088/1742-6596/2875/1/012024

Dash, Soumya P. & Ghose, Debasish (2024). RIS-Assisted Wireless System in the Presence of Direct Channel: Channel Statistics and Performance Analysis. IEEE Access. ISSN 2169-3536. 12 p 170741-170753. doi:
10.1109/ACCESS.2024.3499330

Pal, Rahul K., Dash, Soumya P., Aissa, Sonia & Ghose, Debasish (2024). Outage Probability Analysis of RIS-Assisted Indoor Wide-FOV-VLC/RF Wireless Communication. IEEE Wireless Communications Letters. ISSN 2162-2337. 13(1) p 34-38. doi:
10.1109/LWC.2023.3317730

Lin, Yuan, Xie, Shaomin, Ghose, Debasish, Liu, Xiangrong, You, Junyong, Korhonen, Jari, Liu, Juan & Dash, Soumya P. (2024). FishIR: Identifying Pufferfish Individual Based on Deep Learning and Face Recognition. IEEE Access. ISSN 2169-3536. 12 p 59807-59817. doi:
10.1109/ACCESS.2024.3390412

Ghose, Debasish, Pussewalage, Harsha Gardiyawasam, Balapuwaduge, Indika A.M. & Dash, Soumya P. (2024). Secure and Lightweight Communication Protocol for Wake-up Radio Enabled Internet of Things. I Tran, Kim-Phuc, Li, Shujun, Heuchenne, Cédric & Thu-Huong, Truong (red.) The 7th International Conference on Safety and Security with IoT. Springer. ISBN 9783031530289. p 3-16. doi:
10.1007/978-3-031-53028-9_1

Mortensen, Jon Andreas, Mollov, Martin Efremov, Chatterjee, Ayan, Ghose, Debasish & Li, Frank Yong (2023). Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study. IEEE Access. ISSN 2169-3536. 11 p 57470-57480. doi:
10.1109/ACCESS.2023.3274478

Reddy, Badri Ramanjaneya, Dash, Soumya P. & Ghose, Debasish (2023). Optimal Rotated M-PSK Signaling for Multi-User Receive Diversity System Over Correlated Rician Fading Channels. IEEE Communications Letters. ISSN 1089-7798. 27(3) p 1006-1010. doi:
10.1109/LCOMM.2023.3234020

Reddy, Badri Ramanjaneya, Dash, Soumya P. & Ghose, Debasish (2023). Optimal Multi-Level Amplitude-Shift Keying for Non-Coherent SIMO Wireless System in Rician Fading Environment. IEEE Transactions on Vehicular Technology. ISSN 0018-9545. 73(3) p 4493-4498. doi:
10.1109/TVT.2023.3329066

Lin, Yuan, Chu, Zhaoqi, Korhonen, Jari, Xu, Jiayi, Liu, Xiangrong, Liu, Juan, Liu, Min, Fang, Lvping, Yang, Weidi, Ghose, Debasish & You, Junyong (2023). Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13833 p 515-526. doi:
10.1007/978-3-031-27077-2_40

Pal, Rahul K., Dash, Soumya P., Joshi, Sandeep & Ghose, Debasish (2022). Channel Estimation and Performance Analysis of a Wide-FOV Visible Light Communication System with Random Receiver Orientation and Location. IEEE Transactions on Wireless Communications. ISSN 1536-1276. 22(3) p 1964-1979. doi:
10.1109/TWC.2022.3208017

Lin, Yuan, You, Junyong, Ghose, Debasish & Korhonen, Jari (2022). Identifying Pufferfish Specie Using Deep Neural Net- works And Face Embedding Method. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713.
FULLTEKST

Ghose, Debasish, Tello-Oquendo, Luis, Pla, Vicent & Li, Frank Yong (2022). On the Behavior of Synchronous Data Transmission in WuR Enabled IoT Networks: Protocol and Absorbing Markov Chain Based Modeling. IEEE Transactions on Wireless Communications. ISSN 1536-1276. 21(10) p 8565-8580. doi:
10.1109/TWC.2022.3167115

Ghose, Debasish (2019). Protocol Design and Performance Evaluation of Wake-up Radio enabled IoT Networks. Universitetet i Agder. ISBN 9788271179243.
Cevallos, Yesenia, Tello-Oquendo, Luis, Inca, Deysi, Ghose, Debasish, Shirazi, Amin Zadeh & Gomez, Guillermo A. (2019). Health Applications Based on Molecular Communications: A Brief Review. I NN, NN (red.) 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728104027. doi:
10.1109/HealthCom46333.2019.9009607

Ghose, Debasish, Frøytlog, Anders & Li, Frank Yong (2019). Enabling early sleeping and early data transmission in wake-up radio-enabled IoT networks. Computer Networks. ISSN 1389-1286. 153 p 132-144. doi:
10.1016/j.comnet.2019.03.002

Ghose, Debasish, Frøytlog, Anders & Li, Frank Yong (2018). Reducing Overhearing Energy in Wake-up Radio-enabled WPANs: Scheme and Performance. I NN, NN (red.) 2018 IEEE International Conference on Communications (ICC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538631805. doi:
10.1109/ICC.2018.8422696

Zhang, Min, Ghose, Debasish & Li, Frank Yong (2018). Collision Avoidance in Wake-up Radio Enabled WSNs: Protocol and Performance Evaluation. IEEE International Conference on Communications. ISSN 1550-3607. 2018-May p 1-6. doi:
10.1109/ICC.2018.8422310

Ghose, Debasish, Oquendo, Luis Tello, Li, Frank Yong & Pla, Vicent (2018). Lightweight Relay Selection in Multi-hop Wake-up Radio Enabled IoT Networks. I NN, N (red.) 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). IEEE Press. ISBN 9781538647271. doi:
10.1109/GLOCOM.2018.8647449

Ghose, Debasish, Li, Frank Yong & Pla, Vicent (2018). MAC Protocols for Wake-Up Radio: Principles, Modeling and Performance Analysis. IEEE Transactions on Industrial Informatics. ISSN 1551-3203. 14(5) p 2294-2306. doi:
10.1109/TII.2018.2805321

Guntupalli, Lakshmikanth, Ghose, Debasish, Li, Frank Yong & Gidlund, Mikael (2018). Energy Efficient Consecutive Packet Transmissions in Receiver-Initiated Wake-Up Radio Enabled WSNs. IEEE Sensors Journal. ISSN 1530-437X. 18(11) p 4733-4745. doi:
10.1109/JSEN.2018.2825540

Zhang, Min, Ghose, Debasish & Li, Frank Yong (2017). Does Wake-up Radio Always Consume Lower Energy Than Duty-Cycled Protocols? I NN, NN (red.) 2017 IEEE 86th Vehicular Technology Conference (VTC Fall). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509059355. doi:
10.1109/VTCFall.2017.8288137

Ghose, Debasish & Li, Frank Yong (2017). Enabling Backoff for SCM Wake-up Radio: Protocol and Modeling. IEEE Communications Letters. ISSN 1089-7798. 21(5) p 1031-1034. doi:
10.1109/LCOMM.2017.2653779

Ghose, Debasish & Li, Frank Yong (2016). Priority-oriented Multicast Transmission Schemes for Heterogeneous Traffic in WSNs. I IEEE, . (red.) 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 4-8 September 2016. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509032549. doi:
10.1109/PIMRC.2016.7794865

Ghose, Debasish & Li, Frank Yong (2016). Enabling retransmissions for achieving reliable multicast communications in WSNs. IEEE Vehicular Technology Conference (VTC) Proceedings. ISSN 1550-2252. 2016-July doi:
10.1109/VTCSpring.2016.7504215
Dissemination
Nerland, Bjarte, Banik, Bithi, Lin, Yuan & Ghose, Debasish (2026). FedBalance: An Adaptive Cross-Silo Federated Learning Approach for Stress Detection under non-IID Data Distributions. doi:
10.1145/3807503.3819439

Ystebø, Kim Andy, Johnsen, Carl-Eirik Dahl, Andersen, Lars-Even Stubberud, Banik, Bithi & Ghose, Debasish (2026). Adversarially Robust Federated Learning for IoMT-based Physiological Condition Monitoring: A Benchmark Dataset and ML-Aided Aggregation Framework. doi:
10.1145/3807503.3819377

Ghose, Debasish, Li, Frank Yong & Frøytlog, Anders (2018). Reducing Overhearing Energy in Wake-up Radio-enabled WPANs: Scheme and Performance.
2025 - now
Professor
Kristiania University of Applied Sciences, Norway
2022 - 2025
Associate Professor
Kristiania University of Applied Sciences, Norway
2015 - 2019
PhD in Information and Communication Technology
University of Agder, Grimstad, Norway
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Debasish Ghose

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Scientific Publications

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