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Journals

  • M. Yaqub, M. S. Pathan, S. Dev, and L. He, Tfh Cells Potential Dual Role in Cancer: A Perspective, Heliyon, 2024. [PDF]

  • 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, 2024. [PDF]

  • S. Habib, M. Ahmad, Y. U. Haq, R. Sana, A. Muneer, M. Waseem, 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, 2024. [PDF]

  • M. Y. Saeed, J. He, N. Zhu, M. Farhan, S. Dev, T. R. Gadekallu, and A. Almadhor, An Intelligent Reinforcement Learning-Based Method for Threat Detection in Mobile Edge Networks, International Journal of Network Management, 2024. [PDF]

  • F. Ullah, J. He, N. Zhu, A. Wajahat, A. Nazir, S. Qureshi, M. S. Pathan, and S. Dev, Blockchain-Enabled EHR Access Auditing: Enhancing Healthcare Data Security, Heliyon, 2024.

  • S. Dhang, M. Zhang, and S. Dev, AdSegNet: A deep network to localize billboard in outdoor scenes, Signal, Image and Video Processing, 2024.

  • C. O'Sullivan, A. Kashyap, S. Coveney, X. Monteys, and S. Dev, Enhancing Coastal Water Body Segmentation with Landsat Irish Coastal Segmentation (LICS) Dataset, Remote Sensing Applications: Society and Environment, 2024.

  • P. Dey, S. Dev, and B. S. Phelan, Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach, IEEE Geoscience and Remote Sensing Letters, 2024.

  • M. Jain, P. Yadav, and S. Dev, Holistic and Lightweight Approach for Solar Irradiance Forecasting, IEEE Transactions on Geoscience and Remote Sensing, 2024.

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, LinkedGeoClimate: An Interoperable Platform for Climate Data Access within Geographical Context, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. 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, 2024.

  • M. Imam, S. Adam, S. Dev, and N Nesa, Air Quality Monitoring Using Statistical Learning Models for Sustainable Environment, Intelligent Systems with Applications, 2024.

  • A. Wajahat, J. He, N. Zhu, T. Mahmood, A. Nazir, F. Ullah, S. Qureshi, and S. Dev, Securing Android IoT devices with GuardDroid Transparent and Lightweight Malware Detection, Ain Shams Engineering Journal, 2024.

  • R. Das, and S. Dev, Enhancing Frame-Level Student Engagement Classification through Knowledge Transfer Techniques, Applied Intelligence, 2023.

  • R. Das*, N. Wu*, and S. Dev, Leveraging Facial Expressions as Emotional Context in Image Captioning, Multimedia Tools and Applications, 2023. (* Authors contributed equally).

  • P. Dey, 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, 2023.

  • A. Antal-Berbecaru, A. L. Costuchen, and S. Dev, Survey Gamification: Engaging Generation Z, Computers in the Schools, 2023. [PDF]

  • H. Wang, Y. Li, K. Gong, M. S. Pathan, B. Zhu, Z. Wen, and S. Dev, MFCSNet: A Musician-Follower Complex Social Network for measuring musical influence, Entertainment Computing, 2023.

  • Q. Paletta, G. Terrén-Serrano, Y. Nie, B. Li, J. Bieker, W. Zhang, L. Dubus, S. Dev, C. Feng, Advances in Solar Forecasting: Computer Vision with Deep Learning, Advances in Applied Energy, 2023.

  • P. Dey*, B. P. Das*, 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, 2023. (* Authors contributed equally).

  • J. Wu*, J. Pierse*, F. Orlandi, D. O'Sullivan, and S. Dev, Improving Tourism Analytics From Climate Data Using Knowledge Graphs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. (* Authors contributed equally).

  • S. Kumari, A. C. Yadav, 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, 2022.

  • J. Walsh, A. Othmani, M. Jain, and S. Dev, Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images, Healthcare Analytics, 2022.

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, Link Climate: An Interoperable Knowledge Graph Platform for Climate Data, Computers and Geosciences, 2022. [arXiv] [code]

  • M. Jain*, V. S. Sengar*, I. Gollini, M. Bertolotto, G. McArdle, and S. Dev, LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera, HardwareX, 2022 (* Authors contributed equally). [arXiv] [code]

  • J. Wu, F. Orlandi, T. AlSkaif, D. O'Sullivan, and S. Dev, A semantic web approach to uplift decentralized household energy data, Sustainable Energy, Grids and Networks, 2022. [arXiv] [code]

  • N. Jain, M. Jain, and S. Dev, Image Deblurring Techniques for Ground-Based Sky Cameras, Remote Sensing Applications: Society and Environment, 2022.

  • M. Jain*, M. Jain*, T. AlSkaif, and S. Dev, Which internal validation indices to use while clustering electric load demand profiles?, Sustainable Energy, Grids and Networks, 2022 (* Authors contributed equally).

  • H. Wang, Y. Li, S. Xi, S. Wang, M. S. Pathan, and S. Dev, AMDCNet: An Attentional Multi-Directional Convolutional Network for Stereo Matching, Displays, 2022.

  • J. Wu, F. Orlandi, D. O'Sullivan, E. Pisoni, and S. Dev, Boosting Climate Analysis with Semantically Uplifted Knowledge Graphs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

  • M. S. Pathan, A. Nag, M. M. Pathan, and S. Dev, Analyzing the impact of feature selection on the accuracy of heart disease prediction, Healthcare Analytics, 2022. [arXiv] [code]

  • S. Batra*, H. Wang*, A. Nag, P. Brodeur, M. Checkley, A. Klinkert, and S. Dev, DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs, Systems and Soft Computing, 2022 (* Authors contributed equally). [arXiv] [code]

  • S. Dev, H. Wang, C. S. Nwosu, N. Jain, B. Veeravalli, and D. John, A predictive analytics approach for stroke prediction using machine learning and neural networks, Healthcare Analytics, 2022. [arXiv] [code]

  • D. Kaloni, Y. H. Lee, and S. Dev, Air quality in the New Delhi metropolis under COVID-19 lockdown, Systems and Soft Computing, 2022. [arXiv] [code]

  • G. Sivapalan, K. Nundy, S. Dev, 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, 2022. [PDF]

  • B. McNicholl, Y. H. Lee, A. Campbell, and S. Dev, Evaluating the Reliability of Air Temperature from ERA5 Reanalysis Data, IEEE Geoscience and Remote Sensing Letters, 2021. [arXiv] [code]

  • P. Berjon, A. Nag, and S. Dev, Analysis of French phonetic idiosyncrasies for accent recognition, Soft Computing Letters, 2021. [arXiv] [code]

  • N. Akrami, K. Ziarati and S. Dev, Graph-based Local Climate Classification in Iran, International Journal of Climatology, 2021. [arXiv]

  • M. Jain, T. AlSkaif, S. Dev, Validating Clustering Frameworks for Electric Load Demand Profiles, IEEE Transactions on Industrial Informatics, 2021. [arXiv] [code]

  • M. S. Pathan, J. Zhang, D. John, A. Nag and S. Dev, Identifying Stroke Indicators Using Rough Sets, IEEE Access, 2020. [arXiv] [code]

  • T. AlSkaif*, S. Dev*, L. Visser, M. Hossari, W. van Sark, A systematic analysis of meteorological variables for PV output power estimation, Renewable Energy, 2020 (* Authors contributed equally). [PDF]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, Estimating Solar Irradiance Using Sky Imagers, Atmospheric Measurement Techniques (AMT), 2019. [arXiv] [code]

  • S. Manandhar, S. Dev, Y. H. Lee, Y. S. Meng, and S. Winkler, A Data-Driven Approach for Accurate Rainfall Prediction, IEEE Transactions on Geoscience and Remote Sensing, 2019. [arXiv]

  • S. Dev, A. Nautiyal, Y. H. Lee, S. Winkler, CloudSegNet: A Deep Network for Nychthemeron Cloud Segmentation, IEEE Geoscience and Remote Sensing Letters, 2019. [arXiv] [code]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, High-Dynamic-Range Imaging for Cloud Segmentation, Atmospheric Measurement Techniques (AMT), 2018. [PDF] [arXiv] [code]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, Rough Set Based Color Channel Selection, IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 1, pp. 52-56, Jan 2017. [PDF] [arXiv] [code]

  • S. Dev, Y. H. Lee, 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, vol. 10, no. 1, pp. 231-242, Jan 2017. [PDF] [arXiv]

  • S. Dev, F. M. Savoy, 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, SPM Student Design Project Series Documents, IEEE Signal Processing Society, 2016. [PDF] [code]


Featured in H. Godrich, Students' Design Project Series: Sharing Experiences [SP Education], IEEE Signal Processing Magazine, Jan 2017.

  • S. Dev, B. Wen, Y. H. Lee, S. Winkler, Machine Learning Techniques and Applications For Ground-based Image Analysis, IEEE Geoscience and Remote Sensing Magazine, Special Issue on Advances in Machine Learning for Remote Sensing and Geosciences, vol. 4, no. 2, pp. 79-93, Jun 2016. [PDF] [arXiv]

  • S. Dev, Nischal S., An efficient partner assignment algorithm for improving the performance of 802.11 WLAN, International Journal of Recent Trends in Engineering, Issue on Electrical and Electronics, vol. 2, no. 6, pp. 155-157, Nov 2009 [PDF]

Conferences

  • R. Das, 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, 2024. [slides]

  • I. R. Nijhum, M. Y. Hossain, 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, 2024. [slides]

  • M. Y. Hossain, I. R. Nijhum, 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, 2024. [slides]

  • S. Dhang, M. Zhang, and S. Dev, Frame-level Advert Localisation, 26th Irish Machine Vision and Image Processing Conference, 2024. [slides]

  • S. Dhang, A. Idogho, 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, 2024. [slides]

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, Leveraging Knowledge Graphs For Enhancing Climate-resilient Agricultural Analysis, 9th IEEE International Conference on Computational Intelligence and Applications, 2024. [slides]

  • S. Kumari, J. Wu, 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, 2024. [slides]

  • P. Dey, S. Dhang, 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), 2024.

  • S. Dhang, P. Dey, M. Zhang, and S. Dev, USE-NET: Satellite Data-based Framework for Optimizing Billboard Placement in Urban Areas, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024.

  • Y. Li, H. Wang, S. Wang, Y. H. Lee, 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), 2024. [slides]

  • I. R. Nijhum, D. Kaloni, P. Kenny, S. Dev, Enhancing Intra-hour Solar Irradiance Estimation Through Knowledge Distillation and Infrared Sky Images, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024.

  • Y. Zhang, 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, 2023. [slides]

  • W. Yao, 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, 2023. [slides]

  • I. R. Nijhum, 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, 2023. [slides]

  • N. Akrami, Y. Li, 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, 2023. [slides]

  • Y. Li*, 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, 2023. (* Authors contributed equally). [slides]

  • S. Smyth, C. O'Sullivan, 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, 2023. [slides]

  • Y. Li, H. Wang, Z. Li, S. Wang, S. Dev, G. Zuo, DAANet: Dual Attention Aggregating Network for Salient Object Detection, Proc. IEEE International Conference on Robotics and Biomimetics, 2023.

  • Z. Li, H. Wang, Y. Li, S. Dev, and G. Zuo, VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration, Proc. IEEE International Conference on Robotics and Biomimetics, 2023.

  • J. Wu, C. O'Sullivan, F. Orlandi, D. O'Sullivan, and S. Dev, Measurement of Industrial Smoke Plumes from Satellite Images, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, Ontological Modeling of Climate Data to Improve Climate Analytics, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • M. Jain, N. Jain, Y. H. Lee, S. Winkler, and S. Dev, Transfer Learning for Cloud Image Classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • P. Dey, S. Dev, and B. S. Phelan, BiLSTM-BiGRU: A fusion deep neural network for predicting air pollutant concentration, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • C. O'Sullivan, S. Coveney, X. Monteys, and S. Dev, Automated Coastline Extraction Using Edge Detection Algorithms, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023. [arXiv]

  • A. Kumar*, M. Jain*, and S. Dev, Generative Augmentation for Sky/cloud Image Segmentation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 (* Authors contributed equally).

  • T. Nampally, J. Wu, and S. Dev, Performance Comparison of Multispectral Channels for Land Use Classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • M. Jain, C. Kumari, A. Kumar, and S. Dev, Using Meteosat Cloud Masks for Solar Irradiance Nowcasting, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • M. Jain, N. Jain, N. Sinha, and S. Dev, A Systematic Spatio-temporal Analysis of Relevant Meteorological Variables for Solar Irradiance Forecasting, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

  • M. Jain, and S. Dev, Truly Generative Data Augmentation for Image Segmentation - Case of Cloud Images, Tiny Papers Track at International Conference on Learning Representations (ICLR), 2023.

  • M. A. Azeem, and S. Dev, Rainfall Prediction Using Azure Automated Machine Learning, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [slides]

  • M. A. Azeem, P. Dey, and S. Dev, A Multidimensionality Reduction Approach to Rainfall Prediction, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [slides]

  • P. Dey, S. Dev, B. Schoen-Phelan, NeSDeepNet: A Fusion Framework for Multi-step Forecasting of Near-surface Air Pollutants, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [slides]

  • C. O'Sullivan, S. Coveney, X. Monteys, and S. Dev, Analyzing Water Body Indicies for Coastal Semantic Segmentation, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [slides]

  • C. O'Sullivan, S. Coveney, X. Monteys, and S. Dev, The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [arXiv] [slides]

  • C. O'Sullivan, S. Coveney, X. Monteys, and S. Dev, Interpreting a Semantic Segmentation Model for Coastline Detection, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2023. [arXiv] [slides]

  • D. Walsh, S. Dev, and A. Nag, Hilbert-Huang-Transform based features for accent classification of non-native English speakers, IEEE Irish Signals & Systems Conference (ISSC), 2023.

  • Z. Xu, Y. Liang, A. Campbell, and S. Dev, Climate Crisis in Virtual Environments: Exploration and Evaluation of Virtual Reality and Mixed Reality for Climate Change Education in Sea level Rise Simulation, Future Technologies Conference (FTC), 2023.

  • M. Premawardhana, M. A. Azeem, S. S. Sengar, and S. Dev, On the Impact of Temperature for Precipitation Analysis, 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), 2023. [slides]

  • S. Cooke, D. Graux, and S. Dev, Multi Platform-based Hate Speech Detection, International Conference on Agents and Artificial Intelligence (ICAART), 2023.

  • A. Patil*, N. Jain*, R. Agrahari, M. Hossari, F. Orlandi, and S. Dev, A Data-Driven Analysis of Formula 1 Car Races Outcome, Proc. 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2022 (* Authors contributed equally).

  • M. Jain, M. Jain, T. AlSkaif, and S. Dev, Analyzing Micro-Level Rebound Effects of Energy Efficient Technologies, NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022.

  • Y. Liang, Z. Xu, S. Rasti, S. Dev, and A. G. Campbell, On the Use of a Semantic Segmentation Micro-Service in AR Devices for UI Placement, IEEE CTSoc International Conference on Games, Entertainment & Media (GEM), 2022.

  • A. Othmani, T. Bizet, T. Pellerin, B. Hamdi, M. Bock, and S. Dev, Significant CC400 functional brain parcellations based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder detection, 5th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), 2022. [PDF]

  • H. Wang, B. Zhu, Y. Li, K. Gong, Z. Wen, S. Wang, and S. Dev, SYGNET: A SVD-YOLO Based Ghostnet For Real-time Driving Scene Parsing, IEEE International Conference on Image Processing (ICIP), 2022. [video] [slides]

  • M. Jain, T. AlSkaif, and S. Dev, Are deep learning models more effective against traditional models for load demand forecasting?, IEEE International Conference on Smart Energy Systems and Technologies (SEST), 2022.

  • P. Berjon*, R. Sharma*, A. Nag, and S. Dev, Frequency-centroid features for word recognition of non-native English speakers, IEEE Irish Signals & Systems Conference (ISSC), 2022 (* authors contributed equally). [arXiv] [code] [slides]

  • M. Jain, D. Yericherla, and S. Dev, On the Relationship Between Ground- and Satellite-Based Global Horizontal Irradiance, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [arXiv] [code] [dataset] [video] [slides]

  • M. Jain, C. Kumari, and S. Dev, Identifying The Best Clear Sky Model For The Delhi-NCR Region, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [video] [slides]

  • M. S. Pathan, A. Nag, S. Dev, Efficient Rainfall Prediction Using A Dimensionality Reduction Method, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [video] [slides]

  • J. Wu, F. Orlandi, M. S. Pathan, D. O'Sullivan, and S. Dev, Augmenting Weather Sensor Data With Remote Knowledge Graphs, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [video] [slides]

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, Publishing Climate Data As Linked Data Via Virtual Knowledge Graphs, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [video] [slides]

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, A Workflow To Convert Live Atmospheric Sensor Data Into Linked Data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022. [video] [slides]

  • Z. Xu, A. G. Campbell, S. Dev, and Y. Liang, An Explore of Virtual Reality for Awareness of the Climate Change Crisis: A Simulation of Sea Level Rise, 8th International Conference of the Immersive Learning Research Network (iLRN), 2022. [arXiv]

  • A. L. Costuchen, and S. Dev, Confronting challenges of non-formal education: A shift from book-based EFL to tailor-made, experimental syllabi, Proc. ACM 5th International Conference on Big Data and Education (ICBDE), Feb 2022. [PDF] [slides] [video presentation]

  • M. Munjal, and S. Dev, Utility Based Handoff Decision for Internet of Everything (IoE), Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021.

  • N. Akrami, K. Ziarati, and S. Dev, Predicting Temperature from Ground-based Synoptic Data in Shiraz City, Iran, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021.

  • N. Akrami, K. Ziarati, and S. Dev, Comparison between Ground-based Synoptic Data and ERA5 Reanalysis Data in Iran, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021.

  • J. Wu, F. Orlandi, Y. H. Lee, D. O'Sullivan, and S. Dev, Organizing Decentralized Energy Data Using Semantic Approach, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021.

  • J. Wu, F. Orlandi, I. Gollini, E. Pisoni, and S. Dev, Uplifting Air Quality Data Using Knowledge Graph, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • T. A. Fathima, V. Nedumpozhimana, J. Wu, Y. H. Lee, and S. Dev, Role of Temporal Information for Multi-step Ahead Forecasting of Solar Irradiance, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, Detecting Rainfall Events Leveraging Climate Knowledge Graphs, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • B. Alparslan, M. Jain, J. Wu, and S. Dev, Analyzing Air Pollutant Concentrations in New Delhi, India, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [arXiv] [code] [slides] [video presentation]

  • N. Danesi, M. Jain, Y. H. Lee, and S. Dev, Predicting Ground-based PM2.5 Concentration in Queensland, Australia, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • M. Jain, P. Yadav, Y. H. Lee, and S. Dev, Improving Training Efficiency of LSTMs While Forecasting Precipitable Water Vapours, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • Z. Y. Ho, M. Jain, and S. Dev, Multivariate Convolutional LSTMs for Relative Humidity Forecasting, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • B. P. Das, M. S. Pathan, Y. H. Lee, and S. Dev, Estimating Ground-level Nitrogen Dioxide Concentration from Satellite Data, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • M. S. Pathan, M. Jain, Y. H. Lee, T. AlSkaif, and S. Dev, Efficient Forecasting of Precipitation Using LSTM, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021. [slides] [video presentation]

  • M. S. Pathan, M. Jain, A. Nag, T. AlSkaif, and S. Dev, Analyzing Impact of Time on Early Detection of Rainfall Event, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2021.

  • T. A. Fathima, V. Nedumpozhimana, Y. H. Lee, and S. Dev, Embedding Cyclical Information in Solar Irradiance Forecasting, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021. [arXiv] [code] [slides] [video presentation]

  • M. Jain, N. Jain, Y. H. Lee, 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, 2021. [arXiv] [code] [slides] [video presentation]

  • J. Wu, H. Chen, F. Orlandi, Y. H. Lee, D. O'Sullivan, and S. Dev, An Interoperable Open Data Portal for Climate Analysis, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021. [arXiv] [slides] [video presentation]

  • J. Wu, H. Chen, F. Orlandi, Y. H. Lee, D. O'Sullivan, and S. Dev, Automated Climate Analyses Using Knowledge Graph, Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021. [arXiv] [slides] [video presentation]

  • H. Wang, M. S. Pathan, 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, 2021. [arXiv] [code] [slides] [video presentation]

  • M. S. Pathan, J. Wu, Y. H. Lee, 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, 2021. [arXiv] [code] [slides] [video presentation]

  • N. Danesi, M. Jain, 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, 2021. [arXiv] [slides] [video presentation]

  • J. Wu, F. Orlandi, T. Alskaif, D. O'Sullivan and S. Dev, Ontology Modeling for Decentralized Household Energy Systems, IEEE International Conference on Smart Energy Systems and Technologies (SEST), 2021. [arXiv] [code] [slides] [video presentation]

  • M. Jain, M. Jain, 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), 2021. [arXiv] [slides] [video presentation]

  • H. Wang, M. S. Pathan, and S. Dev, Stereo Matching Based on Visual Sensitive Information, 6th IEEE International Conference on Image, Vision and Computing (ICIVC), 2021. [arXiv] [code] [slides] [video presentation] [Best Presentation Award]

  • X. Pan, X. Xu, S. Dev, and A. Campbell, 3D Displays: Their Evolution, Inherent Challenges & Future Perspectives, Future Technologies Conference (FTC), 2021. [arXiv]

  • D. Kaloni, Y. H. Lee, and S. Dev, Impact of COVID19-induced Lockdown on Air Quality in Ireland, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021. [arXiv] [code] [slides] [video presentation]

  • M. Jain, C. Meegan, and S. Dev, Using GANs to Augment Data for Cloud Image Segmentation Task, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021. [arXiv] [slides] [video presentation]

  • M. Jain, I. Gollini, M. Bertolotto, G. McArdle, and S. Dev, An Extremely-Low Cost Ground-Based Whole Sky Imager, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021. [arXiv] [slides] [video presentation]

  • J. Wu, F. Orlandi, D. O'Sullivan, and S. Dev, An Ontology Model for Climatic Data Analysis, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021. [arXiv] [slides] [video presentation]

  • M. S. Elsayed, N-A. Le-Khac, 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, 2020. [PDF]

  • M. S. Elsayed, N-A. Le-Khac, S. Dev, and A. D. Jurcut, Detecting Abnormal Traffic in Large-Scale Networks, Proc. IEEE International Symposium on Networks, Computers and Communications (ISNCC), 2020. [arXiv]

  • M. Jain, T. Alskaif and S. Dev, A Clustering Framework for Residential Electric Demand Profiles, Proc. International Conference on Smart Energy Systems and Technologies (SEST), 2020. [arXiv] [code] [slides]

  • M. S. Elsayed, N-A. Le-Khac, 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), 2020. [arXiv]

  • I. Bacher*, H. Javidnia*, S. Dev*, R. Agrahari, M. Hossari, M. Nicholson, C. Conran, J. Tang, P. Song, 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), 2020 (* authors contributed equally). [arXiv] [slides]

  • M. Jain, S. Manandhar, Y. H. Lee, 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, 2020. [arXiv] [code] [slides]

  • I. Bacher, H. Javidnia, S. Dev, R. Agrahari, M. Hossari, M. Nicholson, C. Conran, D. Corrigan, and F. Pitié, DeepReal - A Deep Learning Based 3D Advert Integration System, Proc. NEM Summit 2020 - B'Smart - European Media Science and Technology Meets Arts, 2020. [PDF] [slides]

  • L. Lévêque, S. Dev, M. Hossari, Y. H. Lee and S. Winkler, Subjective Quality Assessment of Ground-based Camera Images, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019. [arXiv]

  • T. A. Fathima, V. Nedumpozhimana, Y. H. Lee, S. Winkler and S. Dev, Predicting Solar Irradiance in Singapore, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019. [arXiv]

  • T. A. Fathima, V. Nedumpozhimana, Y. H. Lee, S. Winkler and S. Dev, A Chaotic Approach on Solar Irradiance Forecasting, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019. [arXiv]

  • S. Dev, H. Javidnia, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, and F. Pitié, Identifying Candidate Spaces for Advert Implantation, Proc. IEEE 7th International Conference on Computer Science and Network Technology, 2019. [arXiv]

  • M. S. Elsayed, N-A. Le-Khac, 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, 2019. [arXiv]

  • F. Orlandi, A. Meehan, M. Hossari, S. Dev, D. O'Sullivan and T. Alskaif, Interlinking Heterogeneous Data for Smart Energy Systems, Proc. International Conference on Smart Energy Systems and Technologies (SEST), 2019. [arXiv]

  • S. Dev, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, and F. Pitié, Localizing Adverts in Outdoor Scenes, Proc. IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019. [arXiv]

  • S. Dev, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, and F. Pitié, The ALOS Dataset for Advert Localization in Outdoor Scenes, Proc. Eleventh International Conference on Quality of Multimedia Experience (QoMEX), 2019. [arXiv]

  • C. S. Nwosu*, S. Dev*, P. Bhardwaj, 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), 2019 (* Authors contributed equally). [arXiv] [code]

  • T. AlSkaif*, S. Dev*, L. Visser, 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), 2019 (* Authors contributed equally). [PDF]

  • S. Dev, M. Hossari, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, and F. Pitié, The CASE Dataset of Candidate Spaces for Advert Implantation, Proc. International Conference on Machine Vision Applications (MVA), 2019. [arXiv] [dataset]

  • S. Dev, S. Manandhar, 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, 2019. [arXiv] [code]

  • S. Manandhar*, S. Dev*, 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, 2019 (* Authors contributed equally). [arXiv] [code]

  • M. Hossari, S. Dev and J. D. Kelleher, TEST: A Terminology Extraction System for Technology Related Terms, Proc. 11th International Conference on Computer and Automation Engineering (ICCAE), 2019. [PDF] [arXiv]

  • M. Hossari*, S. Dev*, M. Nicholson, K. McCabe, A. Nautiyal, C. Conran, J. Tang, W. Xu, and F. Pitié, ADNet: A Deep Network for Detecting Adverts, Proc. 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018 (* Authors contributed equally and arranged alphabetically). [PDF] [arXiv]

  • A. Nautiyal*, K. McCabe*, M. Hossari*, S. Dev*, M. Nicholson, C. Conran, D. McKibben, J. Tang, W. Xu, and F. Pitié, An Advert Creation System for Next-Gen Publicity, Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2018 (* Authors contributed equally and arranged alphabetically). [PDF] [arXiv] [video]

  • S. Dev*, T. AlSkaif*, M. Hossari, R. Godina, A. Louwen, and W. van Sark, Solar Irradiance Forecasting Using Triple Exponential Smoothing, Proc. International Conference on Smart Energy Systems and Technologies (SEST), 2018 (* Authors contributed equally). [PDF] [arXiv]

  • S. Manandhar*, S. Dev*, Y. H. Lee, S. Winkler and Y. S. Meng, Systematic Study of Weather Variables for Rainfall Detection, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018 (* Authors contributed equally). [PDF] [arXiv] [code]

  • S. Manandhar, S. Dev, Y. H. Lee, 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), 2018. [PDF] [arXiv] [code]

  • S. Manandhar, Y. H. Lee, Y. S. Meng, F. Yuan and S. Dev, A Potential Low Cost Remote Sensing Using GPS Derived PWV, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018. [PDF] [arXiv]

  • S. Manandhar*, S. Dev*, 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, 2018 (* Authors contributed equally). [PDF] [arXiv] [code]

  • S. Manandhar, S. Dev, 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, 2018. [PDF] [arXiv]

  • S. Dev, S. Manandhar, Y. H. Lee and S. Winkler, Study of Clear Sky Models for Singapore, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017. [Abstract] [Full Paper] [arXiv] [code]

  • S. Manandhar, S. Dev, Y. H. Lee and Y. S. Meng, Analyzing Cloud Optical Properties Using Sky Cameras, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017. [Abstract] [Full Paper] [arXiv] [code]

  • S. Manandhar, S. Dev, Y. H. Lee and Y. S. Meng, Correlating Satellite Cloud Cover with Sky Cameras, Proc. Progress In Electromagnetics Research Symposium (PIERS), 2017. [Abstract] [Full Paper] [arXiv] [code]

  • S. Dev, F. M. Savoy, Y. H. Lee and S. Winkler, Nighttime sky/cloud image segmentation, Proc. IEEE International Conference on Image Processing (ICIP), 2017. [PDF] [arXiv] [code]

  • F. Savoy, S. Dev, Y. H. Lee and S. Winkler, Stereoscopic Cloud Base Reconstruction Using High-Resolution Whole Sky Imagers, Proc. IEEE International Conference on Image Processing (ICIP), 2017. [PDF] [code]

  • S. Dev, S. Manandhar, F. Yuan, 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, 2017. [PDF] [arXiv] [code]

  • S. Dev, S. Manandhar, Y. H. Lee, S. Winkler, Detecting Rainfall Onset Using Sky Images, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, November 2016. [PDF] [arXiv]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, Short-term prediction of localized cloud motion using ground-based sky imagers, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, November 2016. [PDF] [arXiv]

  • S. Manandhar, F. Yuan, S. Dev, Y. H. Lee, Y. S. Meng, Weather Radar to Detect Cloud Occurrence Level, Proc. TENCON 2016 - 2016 IEEE Region 10 Conference, November 2016. [PDF]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, Estimation of solar irradiance using ground-based whole sky imagers, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2016. [PDF] [arXiv] [code]

  • F. M. Savoy, S. Dev, Y. H. Lee, 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), July 2016. [PDF]

  • S. Manandhar, Y. H. Lee, S. Dev, GPS Derived PWV for rainfall monitoring, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2016. [PDF]

  • S. Dev, Y. H. Lee, S. Winkler, Multi-level semantic labelling of sky/cloud images, Proc. IEEE International Conference on Image Processing (ICIP), Sept. 2015. [PDF] [DR-NTU] [code]

  • S. Dev, Y. H. Lee, S. Winkler, Categorization of cloud image patches using an improved texton-based approach, Proc. IEEE International Conference on Image Processing (ICIP), Sept. 2015. [PDF] [DR-NTU]

  • S. Dev, F. M. Savoy, Y. H. Lee, 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), July 2015. [PDF] [arXiv] [code]

  • F. M. Savoy, J. C. Lemaitre, S. Dev, Y. H. Lee, S. Winkler, Cloud base height estimation using high-resolution whole sky imagers, Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2015. [PDF]

  • S. Dev, Y. H. Lee, S. Winkler, Systematic Study of Color Spaces and Components for the segmentation of sky/cloud images, Proc. IEEE International Conference on Image Processing (ICIP), Oct. 2014. [PDF] [arXiv] [code]

  • S. Dev, F. M. Savoy, Y. H. Lee, 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, May 2014. [PDF] [arXiv] [code]

  • S. Dev, Z.H. Choudhury, K. L. Baishnab, A. Nag, An efficient heap management technique with Minimum Fragmentation and Auto Compaction, IEEE International Conference on Industrial and Information Systems (ICIIS), July 2010 [PDF]

  • S. Dev, Z. H. Choudhury, A randomized cryptographic algorithm and its simulation in C and MATLAB, with its hardware implementation in Verilog HDL, IEEE Conference on Anti-Counterfeiting, Security and Identification (ASID), Aug. 2009 [PDF]

Technical Reports

  • F. Pitié, A. Nautiyal, S. Dev, M. Nicholsan, A. Abdelkader, K. McCabe, C. Conran, D. McKibben, An automatic system that identifies and locates the four corners of the advertising space in a video as a cloud service, Patent Filed, 2018.

  • F. Pitié, A. Nautiyal, S. Dev, M. Nicholsan, A. Abdelkader, K. McCabe, C. Conran, D. McKibben, An algorithm that ranks candidate advertising spaces based on their quality and value, Patent Filed, 2018.

  • S. Dev, 2D and 3D Image Analysis and Its Application to Sky/Cloud Imaging, Doctoral Thesis, Nanyang Technological University Singapore, Singapore, 2017. [Thesis] [Thesis Latex Files] [PhD Defense Slides] [PhD Defense Slides Latex Files]

  • S. Dev, A. Ghasemi, M. Vetterli, A. Scholefield, Point localization in Multi-camera system, Doctoral internship report, Ecole Polytechnique Fédérale de Lausanne, Switzerland, 2015. [PDF] [EPFL]

  • S. Dev, R. Hazarika, H. B. Nemade, Design of a minimum off time device for protecting refrigerator compressor after power interruption, Internship report, Indian Institute of Technology Guwahati, 2008. [PDF]

Others

  • W. Yao, S. Donohue, and S. Dev, Optimizing Remote Sensing Image Classification with Spectral Indices and Convolutional Neural Networks, ADAPT Internal Scientific Conference, 2024. [poster]

  • I. R. Nijhum, D. Kaloni, P. Kenny, and S. Dev, Enhancing Intra-Hour Solar Irradiance Estimation Through Knowledge Distillation and Infrared Sky Images, ADAPT Internal Scientific Conference, 2024. [poster]

  • Y. Zhang, A. Pakrashi, and S. Dev, Assessing Interconnected Factors in CO2 Emissions: A Case Study of India Using Principal Component Analysis, ADAPT Internal Scientific Conference, 2024. [poster]

  • R. Das, and S. Dev, Exploring Student Engagement: Bridging the Gap Between Facial Features and Engagement, ADAPT Internal Scientific Conference, 2024. [poster]

  • P. Dey, 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, ADAPT Internal Scientific Conference, 2024. [poster]

  • S. Smyth, C. O'Sullivan, A. Pakrashi, and S. Dev, Nearshore Wave Prediction for Renewable Energy: Initial Results with Remote Sensing and Buoy Data, ADAPT Internal Scientific Conference, 2024. [poster]

  • S. Dhang, M. Zhang, and S. Dev, Advertisement Localization in Outdoor Scenes, ADAPT Internal Scientific Conference, 2024. [poster]

  • A. Abdelkader, A. Nautiyal, C. Conran, D. McKibben, D. Turner, F. Pitié, J. Vreeke, K. McCabe, M. Hossari, M. Nicholsan, S. Dev, "An Advert Creation System for Next-Gen Publicity", 3rd Annual Huawei Ireland Video Intelligence Forum 2018, October 2018. [PDF]

  • T. AlSkaif, S. Dev, L. Visser, M. Hossari, W. van Sark, "On the Analysis and Evaluation of Meteorological Variables for Photovoltaic Output Power Estimation", ACOS 2018 - Applied Computational Science Symposium, October 2018. [PDF]

  • S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler, "Cloud Imaging Using Ground-based Sky Cameras", ADSC PhD day, Singapore, August 2016. [PDF]

  • F. M. Savoy, S. Dev, Y. H. Lee, S. Winkler, "Cloud Imaging and Analysis using ground-based cameras", International Computer Vision Summer School (ICVSS), Italy, July 2015. [PDF]

  • S. Dev, Y. H. Lee, S. Winkler, "Detection and Tracking of Clouds using ground-based camera systems", International Computer Vision Summer School (ICVSS), Italy, July 2013. [PDF]

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