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Debasish Ghose

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

Bakgrunn

Debasish Ghose er førsteamanuensis ved Høyskolen Kristiania og underviser i database, tingenes internett og sikkerhetsrelaterte kurs.

Debasish har publisert flere forskningsartikler i internasjonale konferanser og anerkjente tidsskrifter. Hans forskningsinteresser inkluderer tingenes internett, trådløse nettverk, helseinformatikk og cybersikkerhet.

I 2019 tok han doktorgraden fra Institutt for informasjons- og kommunikasjonsteknologi, Universitetet i Agder (UiA), Grimstad, Norge. Han har også 7 års industriell erfaring som systemingeniør/utvikler.

Ansatte detaljer

Vitenskapelige publikasjoner
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

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
Universitetet i Agder
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Debasish Ghose

Bakgrunn

Ansatte detaljer

Forskning

Vitenskapelige publikasjoner

Formidling

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