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Debasish Ghose

- Professor
School EIT faglig
School of Economics, Innovation and Technology

Bakgrunn

Debasish Ghose er professor ved School of Economics, Innovation, and Technology ved Kristiania University of Applied Sciences i Bergen, Norge. Han mottok sin doktorgrad (PhD) i informasjons- og kommunikasjonsteknologi fra Universitetet i Agder, Grimstad, Norge, i 2019.

Hans forskning fokuserer på anvendt kunstig intelligens og maskinlæring på tvers av industrielle domener, helseinformatikk, bioinformatikk, føderert læring samt protokolldesign, personvern og sikkerhet for Internet of Things (IoT)-systemer. Han leder Health Informatics and Innovation Lab (HII Lab) ved Kristiania University of Applied Sciences.

Professor Ghose har forfattet eller medforfattet mer enn 45 fagfellevurderte publikasjoner i internasjonale tidsskrifter og konferanseproceedings. Han er prosjektkoordinator for prosjektet Sustainable AI Literacy in Higher Education through Multilateral Collaborations (SAIL-MC) (2025–2028), finansiert av Direktoratet for høyere utdanning og kompetanse (HKDIR).

Han underviser i emner innen kunstig intelligens og cybersikkerhet. Professor Ghose er Senior Member i IEEE (Institute of Electrical and Electronics Engineers) og medlem av redaksjonsrådet for tidsskriftet Discover Artificial Intelligence. Han fungerer også jevnlig som fagfelle for ledende tidsskrifter, blant annet IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics og IEEE Transactions on Wireless Communications. Han har også vært medlem av programkomiteen for store internasjonale konferanser som IEEE GLOBECOM, IEEE ICC og IEEE WCNC.

Ansatte detaljer

Vitenskapelige publikasjoner
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 s 3920-3931. doi:
10.1109/ojcoms.2025.3557522

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) s 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 s 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) s 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) s 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 s 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) s 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 s 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. s 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 s 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) s 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) s 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 s 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) s 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) s 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 s 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 s 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) s 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) s 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) s 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
Formidling
Ghose, Debasish, Li, Frank Yong & Frøytlog, Anders (2018). Reducing Overhearing Energy in Wake-up Radio-enabled WPANs: Scheme and Performance.
2025 - nå
Professor
Kristiania
2022 - 2025
Førsteamanuensis
Kristiania
2015 - 2019
PhD in Information and Communication Technology
Universitetet i Agder, Grimstad, Norge
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Debasish Ghose

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Forskning

Vitenskapelige publikasjoner

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