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

UNDER-REVIEWs


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

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

Neural Computing and Applications [+], Topical Collection on Deep Learning for Time Series Data [+], Springer


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

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

TPAMI-2021-06-1003

PUBLICATIONs

21.

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

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

20.

"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

19.

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

> [DOI: TBD]

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

The 20th International Conference on Artificial Intelligence and Soft Computing

18.

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

> [DOI: NA]

Azim Ahmadzadeh

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

17.

"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

16.

"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

15.

"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

14.

"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

13.

"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

Nature Scientific Data

impact factor 7.67H-Index 48

12.

"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

11.

"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

10.

"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

9.

"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

8.

"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

7.

"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

6.

"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

5.

"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

4.

"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

3.

"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)

2.

"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

1.

"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

Sample Talks:

[p]_AGU_AvoidingMoreAccurate_Dec_2019
[p]_Filament_Detection_2020
[p]_Image_parameters_Dataset_Oct1_2019

M.

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

Atharv Yeolekar, Azim Ahmadzadeh, Shreejaa Talla, Krishna Rukmini Puthucode and Sagar Patel, Rafal Angryk

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

L.

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

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

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

K.

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

Shreejaa Talla, Azim Ahmadzadeh, Sushant Mahajan and Rafal Angryk

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

J.

"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 [+]

I.

"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 [+]

H.

"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]

G.

"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]

F.

"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

E.

"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) [+]

D.

"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 [+]

C.

"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

B.

"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

A.

"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 [+]. A 2-hour Tutorial Session [+]

CIF21 DIBBs 2018