Publications


A list of publications by our group members since 2018.



Malihe Nasibi, Viviana Maggioni, William Amponsah, Vanessa Robledo, Humberto Vergara, Prerak Patel, Georgios C. Anagnostopoulos, Danraj Lamichhane, Efthymios I. Nikolopoulos (2026). Investigating Extreme Precipitation and Associated Cloud-Top Temperatures in Flash Flood Events over West Africa. AMS 2026.

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Akshay Aravamudan (2025). Expressive and Interpretable User Engagement Prediction using Multivariate Survival Processes. Florida Tech.

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Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos (2025). A Generalized Time Rescaling Theorem for Temporal Point Processes. Neural Computation.

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Danraj Lamichhane, Marika Koukoula, Humberto J. Vergara, Vanessa Robledo, Jonathan J. Gourley, Viviana Maggioni, Malihe Nasibi, Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2024). Flash flood forecasting in West Africa: Evaluating the performance of regional and global numerical weather prediction models. AGU 2024.

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Xi Zhang, Akshay Aravamudan, Malihe Nasibi, Vanessa Robledo, Viviana Maggioni, Humberto J. Vergara, Jonathan J. Gourley, Efthymios I. Nikolopoulos, Georgios C. Anagnostopoulos (2024). Enhancing Precipitation Nowcasting in West Africa through IR-Integrated Deep Generative Models. AGU 2024.

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Xi Zhang (2024). Theoretical Advancements in Hawkes Processes and Their Practical Applications. Florida Tech.

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Efthymios I. Nikolopoulos, Abdou Ali, William Amponsah, Georgios C. Anagnostopoulos, Akshay Aravamudan, Jonathan J. Gourley, Viviana Maggioni, Malihe Nasibi, Vanessa Robledo, Humberto Vergara, Xi Zhang (2024). Advancing Flash Flood Forecasting Capabilities in West Africa with Machine Learning and Satellite Observations. AMS 2024.

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Zimeena Rasheed, Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2024). Combining global precipitation data and machine learning to predict flood peaks in ungauged areas with similar climate. Adv. Water Resour..

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Akshay Aravamudan, Hafidh A. A. Ghalib, Georgios C. Anagnostopoulos, Anthony O. Smith, Matthew Sibol, Gordon Kraft, Wilmer Rivers, Yajun Wang, Xi Zhang, Ruksana Kabealo, Erbene de Castro Maia Junior (2023). Regional Seismic Event Discrimination using Machine Learning. AGU 2023.

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Humberto J. Vergara, Vanessa Robledo, Georgios C. Anagnostopoulos, Akshay Aravamudan, Xi Zhang, Efthymios I. Nikolopoulos, Abigail Jones, Viviana Maggioni, Malihe Nasibi, Jonathan J. Gourley, Abdou Ali, Gonzalo Forero (2023). Improving Flash Flood Monitoring and Forecasting Capabilities in West Africa with Satellite Observations and Precipitation Forecasts. AGU 2023.

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Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos (2023). Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. AAAI 2023.

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Xi Zhang, Akshay Aravamudan, Zimeena Rasheed, Electra K. Scarpignato, Witold F. Krajewski, Efthymios I. Nikolopoulos, Georgios C. Anagnostopoulos (2023). Flood Inundation Meets Image Super-Resolution. AI in Ag 2023.

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Ruksana Kabealo, Steven Wyatt, Akshay Aravamudan, Xi Zhang, David N. Acaron, Mawaba P. Dao, David Elliott, Anthony O. Smith, Carlos E. Otero, Luis D. Otero, Georgios C. Anagnostopoulos, Adrian M. Peter, Wesley Jones, Eric Lam (2023). A multi-firearm, multi-orientation audio dataset of gunshots. DiB.

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Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos (2022). Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. ICML 2022.

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Zimeena Rasheed, Akshay Aravamudan, Ali Gorji Sefidmazgi, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2022). Advancing flood warning procedures in ungauged basins with machine learning. Journal of Hydrology.

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Zimeena Rasheed, Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2022). Flood prediction in ungauged basins with machine learning and satellite precipitation data. EGU 2022.

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Akshay Aravamudan, Zimeena Rasheed, Xi Zhang, Georgios C. Anagnostopoulos, Witold F. Krajewski, Efthymios I. Nikolopoulos (2021). Deep Residual Downscaling of Remote Sensing Imagery for Flood Hazard Assessment. AGU 2021.

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David Nieves-Acaron, Benjamin Luchterhand, Akshay Aravamudan, David Elliott, Steven Wyatt, Carlos E. Otero, Luis D. Otero, Anthony O. Smith, Adrian M. Peter, Wesley Jones, Eric Lam (2021). ACE: An ATAK Plugin for Enhanced Acoustic Situational Awareness at the Edge. MILCOM 2021.

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Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece Cigdem, Madeline Schiappa, Steven Scheinert, Georgios C. Anagnostopoulos, Christina Bowens, Stephen M. Fiore, Alexander Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda B. Hajiakhoond, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang (2021). Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CSSSA 2020.

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Steven Wyatt, David Elliot, Akshay Aravamudan, Carlos E. Otero, Luis D. Otero, Georgios C. Anagnostopoulos, Anthony O. Smith, Adrian M. Peter, Wesley Jones, Steven Leung, Eric Lam (2021). Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. WF-IoT 2021.

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Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos (2021). Influence Dynamics Among Narratives. SPB-BRiMS 2021.

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Zimeena Rasheed, Akshay Aravamudan, Georgios C. Anagnostopoulos, Ali Gorji Sefidmazgi, Efthymios I. Nikolopoulos (2020). Machine Learning for Flood Peak Prediction in Ungauged Basins. AGU 2020.

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Xi Zhang, Akshay Aravamudan, Anna Koufakou, Chathika Gunaratne, Ivan Garibay, Georgios C. Anagnostopoulos (2020). Predicting Software Vulnerability Exploits from Social Media Confabulations. IC2S2 2020.

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Nenad Mijatovic, Rana Haber, Georgios C. Anagnostopoulos, Anthony O. Smith, Adrian M. Peter (2019). A Proximal Algorithm for Estimating the Regularized Wavelet-based Density-Difference. CSCI 2019.

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Akshay Aravamudan (2019). Survival Theory Modelling for Information Diffusion. Florida Tech.

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Ivan Garibay, Madeline Schiappa, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Heather Keathley, Alexander Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Anamaria Berea, Chathika Gunaratne, Neda B. Hajiakhoond, Gabriel Fair, Jasser Jasser, Chathura Jayalath, Ece Mutlu, Olivia B. Newton, Amirarsalan Rajabi, Samaneh Saadat, Steve R. Scheinert, Chathurani Senevirathna, Rachel Winter, Xi Zhang (2019). Deep Agent: Computational Social Science Centered Simulation of Online Information Environments. IC2S2 2019.

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Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos (2018). Multi-label Learning via Codewords. ICTAI 2018.

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Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos (2018). Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. JMLR.

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Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos (2018). Pareto-Optimal Model Selection via SPRINT-Race. IEEE TCyb.

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