ORCID ID: 0000-0002-1631-5336DBLP: 213/1551Semantic Scholar ID: 35719012Google Scholar ID: EFSi5FoAAAAJ

PUBLICATIONs

"Multiscale Dubuc: A New Similarity Measure for Time Series"

[DOI: TBA]

Mahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini Puthucode

IEEE International Conference on Big Data 2024

"A Dataset of Manually Annotated Filaments from H-Alpha Observations" [Original]

[DOI: 10.1038/s41597-024-03876-y]

Azim Ahmadzadeh, Rohan Adhyapak, Kartik Chaurasiya, Laxmi Alekhya Nagubandi, V. Aparna, Petrus C. Martens, Alexei Pevtsov, Luca Bertello, Alexander Pevtsov, Naomi Douglas, Samuel McDonald, Apaar Bawa, Eugene Kang, Riley Wu, Dustin J. Kempton, Aya Abdelkarem, Patrick M. Copeland, and Sri Harsha Seelamneni

Scientific Data, Nature

Sci. Data, Nature - 2024

impact score: 8.9

"Prediction of Solar Eruptive Events Impacting Space Weather Conditions"  [Original]

[DOI: 10.1016/j.asr.2024.02.030]

Manolis K. Georgoulis, Stephanie L. Yardley, Jordan A. Guerra, Sophie A.Murray, Azim Ahmadzadeh, Anastasios Anastasiadis, Rafal Angryk, Berkay Aydin, Dipankar Banerjee, Graham Barnes, Alessandro Bemporad, Federico Benvenuto, D. Shaun Bloomfield, Monica Bobra, Cristina Campi , Enrico Camporeale, Craig E. DeForest, A. Gordon Emslie, David Falconer, Li Feng, Weiqun Gan, Lucie M. Green, Sabrina Guastavino, Mike Hapgood, Dustin Kempton, Irina Kitiashvili, Ioannis Kontogiannis, Marianna B. Korsos, K. D. Leka, Paolo Massa, Anna Maria Massone, Dibyendu Nandy, Alexander Nindos, Athanasios Papaioannou, Sung-Hong Park, Spiros Patsourakos, Michele Piana, Nour E. Raouafi, Viacheslav M. Sadykov, Shin Toriumi, Angelos Vourlidas, Haimin Wang, Jason T. L. Wang, Kathryn Whitman, Yihua Yan, Andrei N. Zhukov

[DOI: https://doi.org/10.1016/j.asr.2024.02.030]

Advances in Space Research, 2024

"Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics" [Original][arXiv]

[DOI: 10.1109/ICIP46576.2022.9897445]

A. Ahmadzadeh and R. A. Angryk

IEEE International Conference on Image Processing, 2022

IEEE ICIP-2022

impact score: 7.59H5-index: 52

"TS-MIoU: A Time Series Similarity Metric Without Mapping"  [ResearchGate][Original]

[DOI: 10.1007/978-3-031-26422-1_6]

A. Ahmadzadeh, Y. Chen, K. R. Puthucode, R. Ma, and R. A. Angryk

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) [+], Springer

"Improving Solar Flare Prediction by Time Series Outlier Detection"  [arXiv][Original]

[DOI: 10.1007/978-3-031-23480-4_13]

J. Wen, M. R. Islam, A. Ahmadzadeh, and R. A. Angryk

The 21st International Conference on Artificial Intelligence and Soft Computing [+], Springer

"CGAN-based Synthetic Multivariate Time Series Generation: A Solution to Data Scarcity in Solar Flare Forecasting"  [original]

[DOI: 10.1007/s00521-022-07361-8]

Y. Chen, D. J. Kempton, A. Ahmadzadeh, J. Wen, A. Ji, and R. A. Angryk

Neural Computing and Applications [+], Topical Collection on Deep Learning for Time Series Data [+], Springer
Springer NCA-2022 Impact Factor: 5.573

"Contingency Space: A Semimetric Space for Classification Evaluation"  [original]

[DOI: 10.1109/TPAMI.2022.3167007]

A. Ahmadzadeh, D. J. Kempton, P. C. Martens, and R. A. Angryk

IEEE Transactions on Pattern Analysis and Machine Intelligence [+]
IEEE TPAMI-2022Impact Factor: 16.389Impact score: 25.25#1 CS Journal

"Revisiting the Solar Research Cyberinfrastructure Needs: A White Paper of Findings and Recommendations" [arXiv]

[DOI: NA]

Gelu Nita, Azim Ahmadzadeh, Serena Criscuoli, Alisdair Davey, Dale Gary, Manolis Georgoulis, Neal Hurlburt, Irina Kitiashvili, Dustin Kempton, Alexander Kosovichev, Piet Martens, Ryan McGranaghan, Vincent Oria, Kevin Reardon, Viacheslav Sadykov, Ryan Timmons, Haimin Wang, Jason T. L. Wang

EarthCube Research Coordination Network (@HDMIEC RCN) - White Paper
White Paper

"Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods"  [original][arXiv]

[DOI: 10.1109/ICDMW53433.2021.00138]

A. Yeolekar, S. Patel, S. Talla, K. R. Puthucode, A. Ahmadzadeh, V. M. Sadykov, and R. A. Angryk

ICDM-2021, Systematic Feature Engineering for Time-Series Data Mining Workshop [+]

IEEE ICDM-2021

impact score: 7.59H5-index: 48

"Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures" [arXiv][poster]

> [DOI: 10.1109/ICIP42928.2021.9506337]

A. Ahmadzadeh, D. J. Kempton, Y. Chen, and R. A. Angryk

IEEE International Conference on Image Processing, 2021 

IEEE ICIP-2021

impact score: 7.59H5-index: 52

"Towards Synthetic Multivariate Time Series Generation for Flare Forecasting"  [original][arXiv]

> [DOI: 10.1007/978-3-030-87986-0_26]

Y. Chen, D. J. Kempton, A. Ahmadzadeh, and R. A. Angryk

The 20th International Conference on Artificial Intelligence and Soft Computing

"Machine Learning of Scientific Events: Classification, Detection, and Verification"  [pdf]

> [DOI: NA]

Azim Ahmadzadeh

Ph.D. Dissertation, Georgia State University, 2021.

"How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events"  [original][arXiv]

> [DOI: 10.3847/1538-4365/abec88]

A. Ahmadzadeh, B. Aydin, M. Georgoulis, D. J. Kempton, S. S. Mahajan, and R. A. Angryk

The Astrophysical Journal Supplement Series

ApJS-2021

impact factor 7.95H-Index 231

"Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks"  [pdf]

> [DOI: 10.1109/BigData50022.2020.9378480]

M. S. Habeeb, B. Aydin, A. Ahmadzadeh, M. Georgoulis, and R. A. Angryk

IEEE International Conference on Big Data 2020

"On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem"  [pdf]

> [DOI: 10.1109/BigData50022.2020.9378006]

Y. Chen, A. Ji, P. A. Babajiyavar, A. Ahmadzadeh, and R. A. Angryk

IEEE International Conference on Big Data 2020

"Deep Neural Network-based Active Region Magnetogram Patch Super Resolution"  [pdf]

> [DOI: 10.1109/BigData50022.2020.9377920]

M. S. Habeeb, B. Aydin, A. Ahmadzadeh, M. Georgoulis, and R. A. Angryk

IEEE International Conference on Big Data 2020

"Multivariate Time Series Dataset for Space Weather Data Analytics"  [pdf][post][data]

> [DOI: 10.1038/s41597-020-0548-x]

Angryk, R.A., Martens, P.C., Aydin, B., Kempton, D., Mahajan, S.S., Basodi, S., Ahmadzadeh, A., Cai, X., Boubrahimi, S.F., Hamdi, S.M., Schuh, M.A. and Georgoulis, M.K.

Scientific Data, Nature

Sci. Data, Nature

impact factor 9.051H-Index 64

"Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations"  [pdf]

> [DOI: NA]

Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

NJIT, EarthCube RCN Workshop, 2020

EarthCube-2020

"MVTS-Data Toolkit: A Python Package for Preprocessing Multivariate Time Series Data"  [pdf]

> [DOI: 10.1016/j.softx.2020.100518]

Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, and Rafal A. Angryk

SoftwareX [+] Journal (Elsevier), 2020

Elsevier SoftwareX

CiteScore: 2.4H-Index: 15

"Toward Filament Segmentation Using Deep Neural Networks"  [pdf]

> [DOI: 10.1109/BigData47090.2019.9006340]

Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, and Shihao Ji

IEEE International Conference on Big Data 2019

"Solar Pre-Flare Classification with Time Series Profiling"  [pdf]

> [DOI: 10.1109/BigData47090.2019.9006501]

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, and Rafal A. Angryk

IEEE International Conference on Big Data 2019

"Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis"  [pdf]

> [DOI: 10.1109/BigData47090.2019.9006116]

Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, and Rafal A. Angryk

IEEE International Conference on Big Data 2019

"Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data" [pdf]

> [DOI: 10.1109/BigData47090.2019.9006505]

Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant Mahajan, and Rafal A. Angryk

IEEE International Conference on Big Data 2019

"Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting" [pdf]

> [DOI: 10.1109/ICMLA.2019.00293]

Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Manolis K. Georgoulis, Sushant Mahajan, Maxwell Hostetter, and Rafal A. Angryk

18th IEEE International Conference on Machine Learning and Applications (ICMLA), 2019

"A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission"  [article][pdf]

> [DOI: 10.3847/1538-4365/ab253a]

Azim Ahmadzadeh, Dustin J. Kempton, and Rafal A. Angryk

The Astrophysical Journal Supplement Series

ApJS-2019

impact factor 7.95H-Index 231

"Segmented Dynamic Time Warping: A Comparative and Applicational Study" [pdf][book]

> [DOI: 10.4018/978-1-5225-8446-9.ch001]

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, and Rafal A. Angryk

Chapter 1 of "Emerging Technologies and Applications in Data Processing and Management", IGI Global, ISBN13: 9781522584469

"A Scalable Segmented Dynamic Time Warping for Time Series Classification"  [pdf]

> [DOI: 10.1007/978-3-030-20915-5_37]

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, and Rafal A. Angryk

The 18-th International Conference on Artificial Intelligence and Soft Computing, 2019 (pages 397-409)

"Segmentation of Time Series in Improving Dynamic Time Warping"  [pdf]

> [DOI: 10.1109/BigData.2018.8622554]

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, and Rafal A. Angryk

IEEE International Conference on Big Data 2018

"Improving the Functionality of Tamura Directionality on Solar Images"  [pdf][slides]

> [DOI: 10.1109/bigdata.2017.8258210]

Azim Ahmadzadeh, Dustin J. Kempton, Michael A. Schuh, and Rafal A. Angryk

IEEE International Conference on Big Data 2017

"Influential node discovery in social networks"  [Diss]

> [ADP: 9100]

Azim Ahmadzadeh, Sajjad Hassanpour

Dissertation. Warsaw University of Technology (WUT), Faculty of Mathematics and Information Science (MiNI) 2016.

TALKs | POSTERs

Invited Talk

"Machine Learning for Understanding the Sun"

A. Ahmadzadeh

Saint Louis University, Department of Computer Science, 2024

"A Statistical Anomaly Detection Algorithm for GONG’s H-Alpha Observations" [Poster]

Kartik Chaurasiya, Azim Ahmadzadeh, Eugene Kang, Aparna V, Piet Martens

Space Weather Workshop [+]

Invited Talk

"Real-time Analysis of Solar Filaments: The Challenges and the Solutions" [Abstract]

A. Ahmadzadeh

The Lowell Center for Space Science & Technology, UMass Lowell, 2023 [+]

"A Machine Learning Ecosystem for Filament Analysis - Phase I: A Manually Annotated Dataset of Filaments"  [Abstract][Poster]

> [DOI:N/A]

Samuel McDonald, Rohan Adhyapak, Kartik Chaurasiya, Laxmi Alekhya Nagubandi, Apaar Bawa, Patrick Copeland, Aya Abdelkarem, Aparna Venkataramanasastry, Alexei Pevtsov, Luca Bortello, Niles A. Oien, Petrus C. Martens, Azim Ahmadzadeh

Space Weather Workshop (University Corporation for Atmospheric Research (UCAR))  [+]

Invited Talk

"ML-Eco Fi: A Machine Learning Ecosystem for Automatic Analysis of Solar Filaments" [Abstract]

A. Ahmadzadeh

Institute for Space Weather Sciences (ISWS), at New Jersey Institute of Technology (NJIT), 2022 [+]

"Twenty Feature Selection Algorithms, One Dataset, One Problem: Flare Forecasting"  [Abstract]

> [DOI:10.1002/essoar.10509390.1]

A. Yeolekar, S. Patel, S. Talla, K. R. Puthucode, A. Ahmadzadeh, V. M. Sadykov, and R. A. Angryk

“All-Clear” Prediction of Solar Energetic-Particle Events [+] @ AGU Fall Meeting 2021 [+]

"Which Verification Metrics Are Appropriate for Rare-Event Classification Problems?"  [Abstract]

> [DOI:10.1002/essoar.10508222.1]

Azim Ahmadzadeh, Dustin Kempton, Petrus C Martens and Rafal Angryk

Cyberinfrastructure for Solar Physics II [+] @ AGU Fall Meeting 2021 [+]

"An ML-Ready Filament Augmentation Engine with Labeled Magnetic Helicity Sign"  [Abstract]

> [DOI:10.1002/essoar.10509388.1]

Shreejaa Talla, Azim Ahmadzadeh, Sushant S. Mahajan, and Rafal A. Angryk

Cyberinfrastructure for Solar Physics II [+] @ AGU Fall Meeting 2021 [+]

"Data Sources, Tools, and Techniques: Big Data-Driven Machine Learning in Heliophysics"  [Slides]

A. Ahmadzadeh, D. J. Kempton, B. Aydin, and R. A. Angryk

IEEE International Conference on Big Data 2020 [+]. A 2-hour Tutorial Session [+]

"Data Benchmarking for Solar Flare, CME and SEP Event Forecasting: Different Prediction and Verification Needs, Unified"  [video]

M. K. Georgoulis, B. Aydin, A. Ahmadzadeh, D. J. Kempton, R. A. Angryk, P. C. Martens

COSPAR ISWAT2021 Virtual Working Meeting [+], Quantitative Assessment of Current and Emerging Space Weather Modelling Capabilities for Improved Space Weather  Services [+]

"A Texture-Based Approach for Identification of Filaments’ Chirality"  [video]

S. Dawani, A. Ahmadzadeh, and R. A. Angryk

43rd COSPAR Scientific Assembly (2021) [+], Machine Learning for Space Science Workshop (ML4SS) [+][+][programme]

"Does Imaging of Time Series Help Flare Forecasting?"  [video]

Y. Chen, A. Ji, P. A Babajiyavar, A. Ahmadzadeh, and R. A. Angryk

43rd COSPAR Scientific Assembly (2021) [+], Machine Learning for Space Science Workshop (ML4SS) [+][+][programme]

"Toward Filament Segmentation Using Deep Neural Networks"

Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, and Shihao Ji

EarthCube RCN  Workshop 2020 [+] @ EarthCube [+

EarthCube RCN-2020

"Multivariate Time Series Dataset for Space Weather Machine Learning"  [abstract]

P. C. Martens, B. Aydin, D. Kempton, S. Mahajan, S. Basodi, A. Ahmadzadeh, S. F. Boubrahimi, S. M. Hamdi, M. A. Schuh, and M. K. Georgoulis

Space Weather Workshop 2019 [+] @ Space Weather Prediction Center (SWPC.NOAA) [+

"Avoiding More Accurate and Less Robust Models: Mistakes and Pitfalls in Training Flare Forecasting Models"  [abstract]

A. Ahmadzadeh, B. Aydin, D. Kempton, Sushant Mahajan, Manolis K. Georgoulis, and R. A. Angryk

Machine Learning in Space Weather II [+] @ AGU Fall Meeting 2019 [+]

"Machine Learning in Solar Eruption Forecasting: A Scene-Setting Attempt"  [abstract]

Manolis K. Georgoulis, P. C. Martens, R. A. Angryk, B. Aydin, and A. Ahmadzadeh

Solar Heliospheric and INterplanetary Environment 2019

"Pitfalls and Challenges of Rare-Event Time Series Prediction: A Case-Study of Solar Flare Forecasting"  [+][Slides]

A. Ahmadzadeh, B. Aydin, D. Kempton, Sushant Mahajan, Manolis K. Georgoulis, and R. A. Angryk

Machine Learning in Science and Engineering 2019 @ Georgia Institute of Technology

"Systematic Data-Driven Analysis and Tools for Spatiotemporal Solar Astronomy Data"  [Poster]

R. Angryk, P. Martens, K. Reeves, B. Aydin, D. J. Kempton, S. F. Boubrahimi, S.M. Hamdi, and A. Ahmadzadeh

2nd NSF PI Workshop

CIF21 DIBBs 2018