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Debasish Ghose

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

Bakgrunn

Debasish Ghose er for tiden førsteamanuensis ved School of Economics, Innovation and Technology ved Høyskolen Kristiania i Bergen, Norge. Han tok sin doktorgrad (PhD) i informasjon- og kommunikasjonsteknologi fra Universitetet i Agder i Grimstad, Norge, i 2019, hvor forskningen hans fokuserte på protokolldesign og ytelsesevaluering for IoT-nettverk.

Hans hovedforskningsområder inkluderer anvendt kunstig intelligens og maskinlæring innen ulike industrielle sektorer, helseinformatikk, bioinformatikk, føderert læring og protokolldesign for IoT-nettverk. Dr. Ghose leder Health Informatics and Innovation Lab (HII Lab) ved Høyskolen Kristiania, og har (med)forfattet over 40 vitenskapelige artikler publisert i anerkjente tidsskrifter og konferanser.

Dr. Ghose er intern prosjektkoordinator for prosjektet Sustainable AI Literacy in Higher Education through Multilateral Collaborations (SAIL-MC), finansiert av Direktoratet for høyere utdanning og kompetanse (HKDIR) i perioden 2025-2028.

Han fungerer jevnlig som fagfellevurderer for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Wireless Communications, samt flere andre anerkjente tidsskrifter. Han har også bidratt i programkomiteer for viktige konferanser, inkludert IEEE GLOBECOM, IEEE ICC og IEEE WCNC.

Ansatte detaljer

Vitenskapelige publikasjoner
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

Deb Nath, Rudra Pratap, 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, Gardiyawasam Pussewalage, Harsha, 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 978-3-031-53028-9. s 3-16. doi:
10.1007/978-3-031-53028-9_1

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

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

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

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

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

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

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

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

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

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

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 (2019). Protocol Design and Performance Evaluation of Wake-up Radio enabled IoT Networks. Universitetet i Agder. ISBN 978-82-7117-924-3. (225)
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

Cevallos, Yesenia, Tello-Oquendo, Luis, Inca, Deysi, Ghose, Debasish, Zadeh Shirazi, Amin & 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 conference proceedings. ISBN 978-1-7281-0402-7. doi:
10.1109/HealthCom46333.2019.9009607

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

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

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, 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 conference proceedings. ISBN 978-1-5386-3180-5. doi:
10.1109/ICC.2018.8422696

Ghose, Debasish, Tello Oquendo, Luis, 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 978-1-5386-4727-1. doi:
10.1109/GLOCOM.2018.8647449

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

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 978-1-5090-5935-5. doi:
10.1109/VTCFall.2017.8288137

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

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 978-1-5090-3254-9. doi:
10.1109/PIMRC.2016.7794865
Formidling
Ghose, Debasish, Li, Frank Yong & Frøytlog, Anders (2018). Reducing Overhearing Energy in Wake-up Radio-enabled WPANs: Scheme and Performance.
2022 - nå
Førsteamanuensis
Høyskolen Kristiania
2015 - 2019
PhD in Information and Communication Technology
University of Agder, Grimstad, Norge
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Debasish Ghose

Bakgrunn

Ansatte detaljer

Forskning

Vitenskapelige publikasjoner

Formidling

Arbeidserfaring

Utdanning

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