School of Computer Science and Statistics

Contact Us School of Computer Science and Statistics
O’Reilly Institute
Trinity College Dublin
Dublin 2
Ireland

View the contact page for more contact and location information

scss@tcd.ie Gaeilge
Dr. Soumyabrata Dev

Dr. Soumyabrata Dev

Associate Professor, Computer Science

Biography

Soumyabrata Dev is an Associate Professor in the School of Computer Science and Statistics at Trinity College Dublin from 2026. He is a funded investigator with the ADAPT Centre, supported by Research Ireland.

His research focuses on computer vision, image processing, and remote sensing. He develops statistical machine learning and deep learning methods for applications in environmental informatics, earth observation, and information systems.

Before joining Trinity, Dr Dev was an Assistant Professor in the School of Computer Science at University College Dublin from 2019 to 2025. Dr Dev received his B.Tech. degree summa cum laude from National Institute of Technology Silchar in 2010. He worked as a network engineer at Ericsson India from 2010 to 2012. He completed his PhD at Nanyang Technological University Singapore in 2017. During his doctoral studies, he was a visiting researcher at École Polytechnique Fédérale de Lausanne and a member of the Vision and InterAction Group at the Advanced Digital Sciences Center, the Singapore based research centre of the University of Illinois at Urbana Champaign. From 2017 to 2019, he was a postdoctoral researcher at Trinity College Dublin, where he worked on industry affiliated research in collaboration with the Huawei Ireland Research Centre.

Publications and Further Research Outputs

  • Fabrizio Orlandi, Alan Meehan, Murhaf Hossari, Soumyabrata Dev, Declan O'Sullivan, Tarek Alskaif, Interlinking Heterogeneous Data for Smart Energy Systems, IEEE International Conference on Smart Energy Systems and Technologies (SEST), Spain, 10th September, Arxiv.org; Cornell University, 2019, pp20-26Conference Paper, 2019, TARA - Full Text
  • Soumyabrata Dev, Matthew Nicholson, Murhaf Hossari, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié, ADNet: A Deep Network for Detecting Adverts, 2018Conference Paper, 2018
  • Atul Nautiyal, Killian McCabe, Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Clare Conran, Declan McKibben, Jian Tang, Xu Wei, François Pitié, An Advert Creation System for Next-Gen Publicity, 2018Conference Paper, 2018
  • S. Dev, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, F. Pitié, The CASE Dataset of Candidate Spaces for Advert Implantation , 2019 16th International Conference on Machine Vision Applications (MVA) , 27-3, , ( ), 2019, pp1 - 4Conference Paper, 2019, DOI
  • S. Dev, M. Hossari, M. Nicholson, K. McCabe, A. N. Clare Conran, J. Tang, W. Xu, F. Pitie, The ALOS Dataset for Advert Localization in Outdoor Scenes , 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX) , 5-7, , ( ), 2019, pp1 - 3Conference Paper, 2019, DOI
  • S. Dev, H. Javidnia, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, F. Pitié, Identifying Candidate Spaces for Advert Implantation , IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT) , , ( ), 2019, pp503 - 507Conference Paper, 2019, DOI
  • Hossari, M. and Dev, S. and Kelleher, J.D., TEST: A terminology extraction system for technology related terms, 2019, pp78-81Conference Paper, 2019, DOI , URL
  • Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan, Soumyabrata Dev, An Ontology Model for Climatic Data Analysis, 41st IEEE Geoscience and Remote Sensing Symposium (IGARSS), virtual, 11-16 July, IEEE, 2021, 5739-5742Conference Paper, 2021, DOI , URL
  • Jiantao Wu, Fabrizio Orlandi, Tarek Alskaif, Declan O'Sullivan, Soumyabrata Dev, Ontology Modeling for Decentralized Household Energy Systems, 2021 International Conference on Smart Energy Systems and Technologies (SEST), virtual, 6th to 8th September, 2021Conference Paper, 2021, DOI , URL
  • Jiantao Wu, Huan Chen, Fabrizio Orlandi, Yee Hui Lee, Declan O'Sullivan, Soumyabrata Dev, Automated Climate Analyses Using Knowledge Graph, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore/Virtual, October 2021, IEEE, 2021, pp106 - 107Conference Paper, 2021, DOI , URL
  • Jiantao Wu, Huan Chen, Fabrizio Orlandi, Yee Hui Lee, Declan O'Sullivan, Soumyabrata Dev, An Interoperable Open Data Portal for Climate Analysis, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore/Virtual, October 2021, IEEE, 2021, pp110 - 111Conference Paper, 2021, URL
  • Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan, Enrico Pisoni, Soumyabrata Dev, Boosting Climate Analysis with Semantically Uplifted Knowledge Graphs, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 15, 2022, p4708-4718Journal Article, 2022, DOI
  • Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, Soumyabrata Dev, A semantic web approach to uplift decentralized household energy data, Sustainable Energy, Grids and Networks, 32, (100891), 2022, p1-25Journal Article, 2022, DOI
  • Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan, Soumyabrata Dev, Link climate: An interoperable knowledge graph platform for climate data, Computers & Geosciences, 2022, p104 - 105Journal Article, 2022, DOI
  • Jiantao Wu, Jarret Pierse, Fabrazio Orlandi, Declan O'Sullivan. Soumyabrata Dev, Improving Tourism Analytics From Climate Data Using Knowledge Graphs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 16, 2023, p2402 - 2412Journal Article, 2023, DOI , URL
  • Jiantao Wu, Conor O'Sullivan, Fabrizio Orlandi, Declan O'Sullivan, Soumyabrata Dev, Measurement of Industrial Smoke Plumes from Satellite Images, IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium, July 2023, edited by Pasadena, CA, USA , IEEE, 2023, pp5680-5683Conference Paper, 2023, DOI
  • Jiantao Wu, Fabrazio Orlandi, Declan O'Sullivan. Soumyabrata Dev, On the Use of Virtual Knowledge Graphs to Improve Environmental Sensor Data Accessibility, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 2024, p6671-6682Journal Article, 2024, DOI
  • Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan, Soumyabrata Dev, LinkedGeoClimate: An Interoperable Platform for Climate Data Access Within Geographical Context, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 2024, p10352-10366Journal Article, 2024, DOI
  • Dev, Soumyabrata and Hossari, Murhaf and Nicholson, Matthew and McCabe, Killian and Nautiyal, Atul and Conran, Clare and Tang, Jian and Xu, Wei and Pitie, Francois, Localizing adverts in outdoor scenes, 2019 IEEE International Conference on Multimedia \& Expo Workshops (ICMEW), 2019, pp591--594Conference Paper, 2019
  • Bacher, Ivan and Javidnia, Hossein and Dev, Soumyabrata and Agrahari, Rahul and Hossari, Murhaf and Nicholson, Matthew and Conran, Clare and Corrigan, David and Pitie, Francois, DeepReal - A Deep Learning Based 3D Advert Integration System, Proc. NEM Summit, 2020Journal Article, 2020, URL
  • Sukriti Dhang, Mimi Zhang and Soumyabrata Dev, AdSegNet: A deep network to localize billboard in outdoor scenes, Signal, Image and Video Processing, 18, 2024, p7221 - 7235Journal Article, 2024
  • Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan, Soumyabrata Dev, Leveraging Knowledge Graphs for Enhancing Climate-Resilient Agricultural Analysis, IEEE 9th International Conference on Computational Intelligence and Applications (ICCIA), Haikou, China, 09-11 August 2024, IEEE, 2024, pp241-245Conference Paper, 2024, DOI
  • Sukriti Dhang, Mimi Zhang and Soumyabrata Dev, LaBINet - An Approach for Seamlessly Integrating New Advertisement into an Existing Scene, IEEE Transactions on Artificial Intelligence, 6, 2025, p2281 - 2290Journal Article, 2025
  • Sukriti Dhang, Jason Lok, Mimi Zhang and Soumyabrata Dev, Multi-modal Fusion for Billboard Categorization in Video Frames: A Text and Image-Based Approach, Multimedia Tools and Applications, 2026Journal Article, 2026
  • Y. Zhang and A. Pakrashi and S. Dev, Multi-Regional COâ'' Emission Forecasting Using Advanced Machine Learning and Temporal Feature Engineering, Environmental Modelling and Software, 2025Journal Article, 2025
  • P. Adong and E. Bainomugisha and S. Dev, Evaluating machine learning methods for PM2.5 estimation using satellite AOD, low-cost and reference-grade monitors in Kampala, International Journal of Environmental Science and Technology, 2025Journal Article, 2025
  • S. Azadnejad and A. Kandiri and A. Hrysiewicz and F. O†Loughlin and EP. Holohan and S. Dev and S. Donohue, Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring, International Journal of Applied Earth Observation and Geoinformation, 2025Journal Article, 2025
  • R. Das and S. Dev, Optimizing Student Engagement Detection using Facial and Behavioral Features, Neural Computing and Applications, 2025Journal Article, 2025
  • M. S. Pathan and P. Nadella and Y. U. Haq and S. Chaudhury and J. Wu and A. Nag and Soumyabrata Dev, A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events, IEEE Access, 2025Journal Article, 2025
  • Y. Li and H. Wang and S. Wang and J. Xu and Y. H. Lee and S. Dev, BSANet: A Bilateral Segregation and Aggregation Network for Real-time Cloud Segmentation, Remote Sensing Applications: Society and Environment, 2025Journal Article, 2025
  • J. Yang and S. Dev and A. G. Campbell, RenderKernel: High-level programming for real-time rendering systems, Visual Informatics, 2024Journal Article, 2024
  • M. A. Azeem and S. Dev, A Performance and Interpretability Assessment of Machine Learning Models for Rainfall Prediction in the Republic of Ireland, Decision Analytics, 2024Journal Article, 2024
  • S. Habib and M. Ahmad and Y. U. Haq and R. Sana and A. Muneer and M. Waseem and M. S. Pathan and S. Dev, Advancing Taxonomic Classification through Deep Learning: A Robust Artificial Intelligence Framework for Species Identification Using Natural Images, IEEE Access, 2024Journal Article, 2024
  • M. Y. Saeed and J. He and N. Zhu and M. Farhan and S. Dev and T. R. Gadekallu and A. Almadhor, An Intelligent Reinforcement Learning-Based Method for Threat Detection in Mobile Edge Networks, International Journal of Network Management, 2024Journal Article, 2024
  • F. Ullah and J. He and N. Zhu and A. Wajahat and A. Nazir and S. Qureshi and M. S. Pathan and S. Dev, Blockchain-Enabled EHR Access Auditing: Enhancing Healthcare Data Security, Heliyon, 2024Journal Article, 2024
  • C. O†Sullivan and A. Kashyap and S. Coveney and X. Monteys and S. Dev, Enhancing Coastal Water Body Segmentation with Landsat Irish Coastal Segmentation (LICS) Dataset, Remote Sensing Applications: Society and Environment, 2024Journal Article, 2024
  • P. Dey and S. Dev and B. S. Phelan, Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach, IEEE Geoscience and Remote Sensing Letters, 2024Journal Article, 2024
  • M. Jain and P. Yadav and S. Dev, Holistic and Lightweight Approach for Solar Irradiance Forecasting, IEEE Transactions on Geoscience and Remote Sensing, 2024Journal Article, 2024
  • M. Imam and S. Adam and S. Dev and N Nesa, Air Quality Monitoring Using Statistical Learning Models for Sustainable Environment, Intelligent Systems with Applications, 2024Journal Article, 2024
  • A. Wajahat and J. He and N. Zhu and T. Mahmood and A. Nazir and F. Ullah and S. Qureshi and S. Dev, Securing Android IoT devices with GuardDroid Transparent and Lightweight Malware Detection, Ain Shams Engineering Journal, 2024Journal Article, 2024
  • R. Das and S. Dev, Enhancing Frame-Level Student Engagement Classification through Knowledge Transfer Techniques, Applied Intelligence, 2023Journal Article, 2023
  • R. Das and N. Wu and S. Dev, Leveraging Facial Expressions as Emotional Context in Image Captioning, Multimedia Tools and Applications, 2023Journal Article, 2023
  • P. Dey and S. Dev and B. S. Phelan, CombineDeepNet: A Deep Network for Multi-Step Prediction of Near-Surface PM2.5 Concentration, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023Journal Article, 2023
  • A. Antal-Berbecaru and A. L. Costuchen and S. Dev, Survey Gamification: Engaging Generation Z, Computers in the Schools, 2023Journal Article, 2023
  • H. Wang and Y. Li and K. Gong and M. S. Pathan and B. Zhu and Z. Wen and S. Dev, MFCSNet: A Musician-Follower Complex Social Network for measuring musical influence, Entertainment Computing, 2023Journal Article, 2023
  • Q. Paletta and G. Terrén-Serrano and Y. Nie and B. Li and J. Bieker and W. Zhang and L. Dubus and S. Dev and C. Feng, Advances in Solar Forecasting: Computer Vision with Deep Learning, Advances in Applied Energy, 2023Journal Article, 2023
  • P. Dey and B. P. Das and Y. H. Lee and S. Dev, NeSNet: A Deep Network for Estimating Near-Surface Pollutant Concentrations, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023Journal Article, 2023
  • S. Kumari and A. C. Yadav and M. Saharia and S. Dev, Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin, Remote Sensing Applications: Society and Environment, 2022Journal Article, 2022
  • J. Walsh and A. Othmani and M. Jain and S. Dev, Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images, Healthcare Analytics, 2022Journal Article, 2022
  • M. Jain and V. S. Sengar and I. Gollini and M. Bertolotto and G. McArdle and S. Dev, LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera, HardwareX, 2022Journal Article, 2022
  • N. Jain and M. Jain and S. Dev, Image Deblurring Techniques for Ground-Based Sky Cameras, Remote Sensing Applications: Society and Environment, 2022Journal Article, 2022
  • M. Jain and M. Jain and T. AlSkaif and S. Dev, Which internal validation indices to use while clustering electric load demand profiles?, Sustainable Energy, Grids and Networks, 2022Journal Article, 2022
  • H. Wang and Y. Li and S. Xi and S. Wang and M. S. Pathan and S. Dev, AMDCNet: An Attentional Multi-Directional Convolutional Network for Stereo Matching, Displays, 2022Journal Article, 2022
  • M. S. Pathan and A. Nag and M. M. Pathan and S. Dev, Analyzing the impact of feature selection on the accuracy of heart disease prediction, Healthcare Analytics, 2022Journal Article, 2022
  • S. Batra and H. Wang and A. Nag and P. Brodeur and M. Checkley and A. Klinkert and S. Dev, DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs, Systems and Soft Computing, 2022Journal Article, 2022
  • S. Dev and H. Wang and C. S. Nwosu and N. Jain and B. Veeravalli and D. John, A predictive analytics approach for stroke prediction using machine learning and neural networks, Healthcare Analytics, 2022Journal Article, 2022
  • D. Kaloni and Y. H. Lee and S. Dev, Air quality in the New Delhi metropolis under COVID-19 lockdown, Systems and Soft Computing, 2022Journal Article, 2022
  • G. Sivapalan and K. Nundy and S. Dev and B. Cardiff and D. John, ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors, IEEE Transactions on Biomedical Circuits and Systems, 2022Journal Article, 2022
  • B. McNicholl and Y. H. Lee and A. Campbell and S. Dev, Evaluating the Reliability of Air Temperature from ERA5 Reanalysis Data, IEEE Geoscience and Remote Sensing Letters, 2021Journal Article, 2021
  • P. Berjon and A. Nag and S. Dev, Analysis of French phonetic idiosyncrasies for accent recognition, Soft Computing Letters, 2021Journal Article, 2021
  • N. Akrami and K. Ziarati and S. Dev, Graph-based Local Climate Classification in Iran, International Journal of Climatology, 2021Journal Article, 2021
  • M. Jain and T. AlSkaif and S. Dev, Validating Clustering Frameworks for Electric Load Demand Profiles, IEEE Transactions on Industrial Informatics, 2021Journal Article, 2021
  • M. S. Pathan and J. Zhang and D. John and A. Nag and S. Dev, Identifying Stroke Indicators Using Rough Sets, IEEE Access, 2020Journal Article, 2020
  • T. AlSkaif and S. Dev and L. Visser and M. Hossari and W. van Sark, A systematic analysis of meteorological variables for PV output power estimation, Renewable Energy, 2020Journal Article, 2020
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Estimating Solar Irradiance Using Sky Imagers, Atmospheric Measurement Techniques (AMT), 2019Journal Article, 2019
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng and S. Winkler, A Data-Driven Approach for Accurate Rainfall Prediction, IEEE Transactions on Geoscience and Remote Sensing, 2019Journal Article, 2019
  • S. Dev and A. Nautiyal and Y. H. Lee and S. Winkler, CloudSegNet: A Deep Network for Nychthemeron Cloud Segmentation, IEEE Geoscience and Remote Sensing Letters, 2019Journal Article, 2019
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, High-Dynamic-Range Imaging for Cloud Segmentation, Atmospheric Measurement Techniques (AMT), 2018Journal Article, 2018
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Rough Set Based Color Channel Selection, IEEE Geoscience and Remote Sensing Letters, 14, (1), 2017, p52--56Journal Article, 2017
  • S. Dev and Y. H. Lee and S. Winkler, Color-based segmentation of sky/cloud images from ground-based cameras, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, (1), 2017, p231--242Journal Article, 2017
  • S. Dev and Y. H. Lee and S. Winkler, Color-based segmentation of sky/cloud images from ground-based cameras, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, (1), 2017, p231--242Journal Article, 2017
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, DIY Sky Imager For Weather Observation: A complete guide to build a ground-based sky imager using off-the-shelf components with automatic cloud coverage computation, 2016, -Miscellaneous, 2016
  • S. Dev and B. Wen and Y. H. Lee and S. Winkler, Machine Learning Techniques and Applications For Ground-based Image Analysis, IEEE Geoscience and Remote Sensing Magazine, 4, (2), 2016, p79--93Journal Article, 2016
  • P. Dey and D. Ayala-Cabrera and S. Dev and B. Schoen-Phelan, AirGRU: A Physics-Informed Model for PM2.5 Prediction, 13th International Congress on Environmental Modelling and Software, 2026Conference Paper, 2026
  • M. Y. Hossain and D. Ayala-Cabrera and S. Dev, Evaluating Cross-Modality Generalization in Deep RGB-to-NIR Image Translation, 13th International Congress on Environmental Modelling and Software, 2026Conference Paper, 2026
  • R. Das and S. Dhang and M. Zhang and S. Dev, AdMoteNet: Adaptive Network for Emotion Understanding in Visual Content, Irish Machine Vision and Image Processing Conference (IMVIP), 2025Conference Paper, 2025
  • I. R. Nijhum and T. Akinola and M. E. Ali and S. Dev, Optimizing Lightweight Photovoltaic Forecasting Models: A Distillation Approach, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • I. R. Nijhum and M. S. Reza and S. Dev, Tiny-UCloudNet: Memory Efficient Ground-based Cloud Segmentation Network, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • Y. Li and H. Wang and J. Xu and Z. Ma and P. Wu and S. Wang and S. Dev, CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • Y. Li and H. Wang and J. Xu and P. Wu and Y. Xiao and S. Wang and S. Dev, DDUNet: Dual Dynamic U-net For Highly-efficient Cloud Segmentation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • C. O†Sullivan and S. Dev, The Impact of Data Augmentations on Coastal Image Segmentation Models, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • C. O†Sullivan and S. Dev, Weighted Context: A Global Interpretation Method for Image Segmentation Models, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • P. Dey and S. Dev and B. Schoen-Phelan, FewShot-AIRNET: Temporal 2D-Variation Modeling for Air Pollution Forecasting, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • P. Dey and S. Dev and B. Schoen-Phelan, Efficient Vision Transformer Framework: Near-Surface O3 Prediction with Missing Satellite Data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025Conference Paper, 2025
  • Y. Li and H. Wang and J. Zhang and J. You and J. Xu and P. Wu and Y. Xiao and S and Dev, Segregation and Context Aggregation Network for Real-time Cloud Segmentation, Proc. ICLR workshop on Tackling Climate Change with Machine Learning, 2025Conference Paper, 2025
  • I. R. Nijhum and M. Y. Hossain and T. Akinola and M. M. H. Rakib and S. Dev, A Hybrid CNN-LSTM Framework and Infrared Image Processing for Solar Irradiance Forecasting, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • Y. Zhang and A. Pakrashi and S. Dev, Deep Learning-Based Prediction of Short-Term CO2 Emissions in Ireland, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • P. Adong and A. Pakrashi and S. Dev, Using Random Forest to Estimate Low-Cost Sensor PM2.5 from MODIS MAIAC AOD in Kampala, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • D. J. Yericherla and G. S. Krishna and A. Pakrashi and S. Dev, Estimating Global Horizontal Irradiance of Solar Photovoltaic System from Satellite Data, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • S. Smyth and A. Pakrashi and S. Dev, Exploring the Impact of SAR Images on Wave Height Prediction Models: A Study Using XAI, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • Y. Li and S. Dev, Short-Term Precipitation Forecasting Based on BU-LSTM Model in Dublin City, Ireland, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • D. Saharia and Y. H. Lee and S. Dev, The Reliability of Satellite Precipitation Measurements in Singapore, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • S. Kumari and P. Dey and D. Ayala-Cabrera and S. Dev, Attention-Based ResNet for Accurate Water Body Classification Using Spectral Indices, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • W. Yao and S. Azadnejad and S. Donohue and S. Dev, A Study on Spatial Prediction Models and Influential Parameters of Deformation in Western Ireland, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • S. Zhao and M. Jain and S. Dev, Multi-Agent Visual SLAM for 3D Coastline Reconstruction: Overcoming Synchronization and Dynamic Environment Challenges, 17th IEEE International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2024Conference Paper, 2024
  • R. Das and S. Dhang and S. Dev, Integrated Approach for Simultaneous Estimation of Emotional States and Valence-Arousal Levels in Facial Images, 26th Irish Machine Vision and Image Processing Conference, 2024Conference Paper, 2024
  • I. R. Nijhum and M. Y. Hossain and M. M. H. Rakib and S. Dev, On Improving Solar Forecasts with Enhanced IR Imaging and CNNs, 26th Irish Machine Vision and Image Processing Conference, 2024Conference Paper, 2024
  • M. Y. Hossain and I. R. Nijhum and M. M. H. Rakib and S. Dev, Can Deep Learning Outperform Traditional Methods in Upscaling IR Images for Solar Irradiance Estimation?, 26th Irish Machine Vision and Image Processing Conference, 2024Conference Paper, 2024
  • S. Dhang and M. Zhang and S. Dev, Frame-level Advert Localisation, 26th Irish Machine Vision and Image Processing Conference, 2024Conference Paper, 2024
  • S. Dhang and A. Idogho and M. Zhang and S. Dev, Towards Accurate Billboard Detection: An Ablation and Benchmarking Study of Deep Learning Models, 26th Irish Machine Vision and Image Processing Conference, 2024Conference Paper, 2024
  • S. Kumari and J. Wu and D. Ayala-Cabrera and S. Dev, Effective Water Body Extraction from Hyperspectral Data: A Focus on Unsupervised Band Indices, 9th IEEE International Conference on Computational Intelligence and Applications, 2024Conference Paper, 2024
  • P. Dey and S. Dhang and S. Dev and B. Schoen-Phelan, NES-VIT-NET: A Nested Vision Transformer-based Network for Near-surface NO2 Estimation from Satellite and Ground Observations, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024Conference Paper, 2024
  • Y. Li and H. Wang and S. Wang and Y. H. Lee and M. S. Pathan and S. Dev, UCLOUDNET: A Residual U-net with Deep Supervision for Cloud Image Segmentation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024Conference Paper, 2024
  • I. R. Nijhum and D. Kaloni and P. Kenny and S. Dev, Enhancing Intra-hour Solar Irradiance Estimation Through Knowledge Distillation and Infrared Sky Images, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024Conference Paper, 2024
  • Y. Zhang and A. Pakrashi and S. Dev, Assessing Interconnected Factors in CO2 Emissions: A Case Study of India Using Principal Component Analysis, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • W. Yao and S. Donohue and S. Dev, Optimizing Remote Sensing Image Classification with Spectral Indices and Convolutional Neural Networks, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • I. R. Nijhum and P. Kenny and S. Dev, Intra-Hour Solar Irradiance Estimation Using Infrared Sky Images and MobileNetV2-Based CNN Regression, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • N. Akrami and Y. Li and P. Dey and S. Dev, Spatial-Temporal-TES: Reanalysis Dataset based Short-Term Temperature Forecasting System, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • Y. Li and N. Akrami and S. Dev, Harnessing ERA5 Reanalysis Data for Improved Long-Term Rainfall Forecasting in Southern Iran, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • S. Smyth and C. O†Sullivan and A. Pakrashi and S. Dev, Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data, Proc. IEEE Conference on Energy Internet and Energy System Integration, 2023Conference Paper, 2023
  • Y. Li and H. Wang and Z. Li and S. Wang and S. Dev and G. Zuo, DAANet: Dual Attention Aggregating Network for Salient Object Detection, Proc. IEEE International Conference on Robotics and Biomimetics, 2023Conference Paper, 2023
  • Z. Li and H. Wang and Y. Li and S. Dev and G. Zuo, VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration, Proc. IEEE International Conference on Robotics and Biomimetics, 2023Conference Paper, 2023
  • M. Jain and N. Jain and Y. H. Lee and S. Winkler and S. Dev, Detecting Blurred Ground-based Sky/Cloud Images, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021Conference Paper, 2021
  • H. Wang and M. S. Pathan and Y. H. Lee and S. Dev, Day-ahead Forecasts of Air Temperature, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021Conference Paper, 2021
  • M. S. Pathan and J. Wu and Y. H. Lee and J. Yan and S. Dev, Analyzing the Impact of Meteorological Parameters on Rainfall Prediction, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021Conference Paper, 2021
  • N. Danesi and M. Jain and Y. H. Lee and S. Dev, Monitoring Atmospheric Pollutants From Ground-based Observations, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021Conference Paper, 2021
  • N. Danesi and M. Jain and Y. H. Lee and S. Dev, Monitoring Atmospheric Pollutants From Ground-based Observations, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021Conference Paper, 2021
  • M. Jain and M. Jain and T. Alskaif and S. Dev, Impact of Load Demand Dataset Characteristics on Clustering Validation Indices, IEEE International Conference on Smart Energy Systems and Technologies (SEST), 2021Conference Paper, 2021
  • H. Wang and M. S. Pathan and S. Dev, Stereo Matching Based on Visual Sensitive Information, 6th IEEE International Conference on Image, Vision and Computing (ICIVC), 2021Conference Paper, 2021
  • X. Pan and X. Xu and S. Dev and A. Campbell, 3D Displays: Their Evolution, Inherent Challenges & Future Perspectives, Future Technologies Conference (FTC), 2021Conference Paper, 2021
  • D. Kaloni and Y. H. Lee and S. Dev, Impact of COVID19-induced Lockdown on Air Quality in Ireland, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021Conference Paper, 2021
  • M. Jain and C. Meegan and S. Dev, Using GANs to Augment Data for Cloud Image Segmentation Task, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021Conference Paper, 2021
  • M. Jain and I. Gollini and M. Bertolotto and G. McArdle and S. Dev, An Extremely-Low Cost Ground-Based Whole Sky Imager, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021Conference Paper, 2021
  • M. S. Elsayed and N-A. Le-Khac and S. Dev and A. D. Jurcut, Network Anomaly Detection Using LSTM Based Autoencoder, Proc. 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2020Conference Paper, 2020
  • M. S. Elsayed and N-A. Le-Khac and S. Dev and A. D. Jurcut, Detecting Abnormal Traffic in Large-Scale Networks, Proc. IEEE International Symposium on Networks, Computers and Communications (ISNCC), 2020Conference Paper, 2020
  • M. Jain and T. Alskaif and S. Dev, A Clustering Framework for Residential Electric Demand Profiles, Proc. International Conference on Smart Energy Systems and Technologies (SEST), 2020Conference Paper, 2020
  • M. S. Elsayed and N-A. Le-Khac and S. Dev and A. D. Jurcut, DDoSNet: A Deep-Learning Model for Detecting Network Attacks, Proc. IEEE World of Wireless, Mobile and Multimedia networks (WoWMoM), 2020Conference Paper, 2020
  • I. Bacher and H. Javidnia and S. Dev and R. Agrahari and M. Hossari and M. Nicholson and C. Conran and J. Tang and P. Song and D. Corrigan and F. Pitié, An Advert Creation System for 3D Product Placements, Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020Conference Paper, 2020
  • M. Jain and S. Manandhar and Y. H. Lee and S. Winkler and S. Dev, Forecasting Precipitable Water Vapor Using LSTMs, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2020Conference Paper, 2020
  • L. Lévêque and S. Dev and M. Hossari and Y. H. Lee and S. Winkler, Subjective Quality Assessment of Ground-based Camera Images, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019Conference Paper, 2019
  • T. A. Fathima and V. Nedumpozhimana and Y. H. Lee and S. Winkler and S. Dev, Predicting Solar Irradiance in Singapore, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019Conference Paper, 2019
  • T. A. Fathima and V. Nedumpozhimana and Y. H. Lee and S. Winkler and S. Dev, A Chaotic Approach on Solar Irradiance Forecasting, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019Conference Paper, 2019
  • M. S. Elsayed and N-A. Le-Khac and S. Dev and A. D. Jurcut, Machine-Learning Techniques for Detecting Attacks in SDN, Proc. IEEE 7th International Conference on Computer Science and Network Technology, 2019Conference Paper, 2019
  • C. S. Nwosu and S. Dev and P. Bhardwaj and B. Veeravalli and D. John, Predicting Stroke from Electronic Health Records, Proc. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019Conference Paper, 2019
  • T. AlSkaif and S. Dev and L. Visser and M. Hossari and W. van Sark, On the Interdependence and Importance of Meteorological Variables for Photovoltaic Output Power Estimation, Proc. 46th IEEE Photovoltaic Specialists Conference (PVSC), 2019Conference Paper, 2019
  • S. Dev and S. Manandhar and Y. H. Lee and S. Winkler, Multi-label Cloud Segmentation Using a Deep Network, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2019Conference Paper, 2019
  • S. Manandhar and S. Dev and Y. H. Lee and S. Winkler, Predicting GPS-based PWV Measurements Using Exponential Smoothing, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2019Conference Paper, 2019
  • S. Dev and T. AlSkaif and M. Hossari and R. Godina and A. Louwen and W. van Sark, Solar Irradiance Forecasting Using Triple Exponential Smoothing, Proc. International Conference on Smart Energy Systems and Technologies (SEST), 2018Conference Paper, 2018
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng, Systematic Study of Weather Variables for Rainfall Detection, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018Conference Paper, 2018
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng and S. Winkler, A Data-driven Approach to Detect Precipitation from Meteorological Sensor Data, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018Conference Paper, 2018
  • S. Manandhar and Y. H. Lee and Y. S. Meng and F. Yuan and S. Dev, A Potential Low Cost Remote Sensing Using GPS Derived PWV, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018Conference Paper, 2018
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng, Analyzing Solar Irradiance Variation From GPS and Cameras, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2018Conference Paper, 2018
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng, On the Importance of PWV in Detecting Precipitation, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2018Conference Paper, 2018
  • S. Dev and S. Manandhar and Y. H. Lee and S. Winkler, Study of Clear Sky Models for Singapore, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017Conference Paper, 2017
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng, Analyzing Cloud Optical Properties Using Sky Cameras, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017Conference Paper, 2017
  • S. Manandhar and S. Dev and Y. H. Lee and Y. S. Meng, Correlating Satellite Cloud Cover with Sky Cameras, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017Conference Paper, 2017
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Nighttime sky/cloud image segmentation, Proc. IEEE International Conference on Image Processing (ICIP), 2017Conference Paper, 2017
  • F. Savoy and S. Dev and Y. H. Lee and S. Winkler, Stereoscopic Cloud Base Reconstruction Using High-Resolution Whole Sky Imagers, Proc. IEEE International Conference on Image Processing (ICIP), 2017Conference Paper, 2017
  • S. Dev and S. Manandhar and F. Yuan and Y. H. Lee and S. Winkler, Cloud Radiative Effect Study Using Sky Camera, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2017Conference Paper, 2017
  • S. Dev and S. Manandhar and Y. H. Lee and S. Winkler, Detecting Rainfall Onset Using Sky Images, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, 2016Conference Paper, 2016
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Short-term prediction of localized cloud motion using ground-based sky imagers, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, 2016Conference Paper, 2016
  • S. Manandhar and F. Yuan and S. Dev and Y. H. Lee and Y. S. Meng, Weather Radar to Detect Cloud Occurrence Level, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, 2016Conference Paper, 2016
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Estimation of solar irradiance using ground-based whole sky imagers, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Conference Paper, 2016
  • F. M. Savoy and S. Dev and Y. H. Lee and S. Winkler, Geo-referencing and stereo calibration of ground-based whole sky imagers using the sun trajectory, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Conference Paper, 2016
  • S. Manandhar and Y. H. Lee and S. Dev, GPS Derived PWV for rainfall monitoring, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Conference Paper, 2016
  • S. Manandhar and Y. H. Lee and S. Dev, GPS Derived PWV for rainfall monitoring, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Conference Paper, 2016
  • S. Dev and Y. H. Lee and S. Winkler, Multi-level semantic labelling of sky/cloud images, Proc. IEEE International Conference on Image Processing (ICIP), 2015Conference Paper, 2015
  • S. Dev and Y. H. Lee and S. Winkler, Categorization of cloud image patches using an improved texton-based approach, Proc. IEEE International Conference on Image Processing (ICIP), 2015Conference Paper, 2015
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, Design of low-cost, compact and weather-proof whole sky imagers for high-dynamic-range captures, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015Conference Paper, 2015
  • F. M. Savoy and J. C. Lemaitre and S. Dev and Y. H. Lee and S. Winkler, Cloud base height estimation using high-resolution whole sky imagers, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015Conference Paper, 2015
  • S. Dev and Y. H. Lee and S. Winkler, Systematic Study of Color Spaces and Components for the segmentation of sky/cloud images, Proc. IEEE International Conference on Image Processing (ICIP), 2014Conference Paper, 2014
  • S. Dev and F. M. Savoy and Y. H. Lee and S. Winkler, WAHRSIS: A low-cost, high-resolution whole sky imager with near-infrared capabilities, Proc. IS&T/SPIE Infrared Imaging Systems: Design, Analysis, Modeling, and Testing, 2014Conference Paper, 2014