Amnir Hadachi, Ph.D.

Univerity of Tartu

Delta Center, Narva mnt 18, Tartu

hadachi(at)ut(dot)ee

Enjoys Research and Education, Shaping Future Generations and Collaborating with Industry, as well as Contributing into Building Future Mobility and Sustainable Transportation.

Selected Publications

C A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensors.
Khoshkhah Kaveh, Mozhgan Pourmoradnasseri, and Amnir Hadachi

In: IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, (2022) Paper

B Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environments.
Chang, Chii; Hadachi, Amnir; Srirama, Satish Narayana

In: Research Anthology on Edge Computing Protocols, Applications, and Integration (571-593). IGI Global. (2022)

J Real-Time System for Daily Modal Split Estimation and OD Matrices Generation Using IoT Data: A Case Study of Tartu City
Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Amnir Hadachi, Helen Tera, Jakob Mass, Erald Keshi and Shan Wu

MDPI Sensors Journal (2022). Paper

J This is The Way: Sensors Auto-calibration Approach Based on Deep Learning for Self-driving Cars.
Wu, Shan; Hadachi, Amnir; Vivet, Damien; Prabhakar, Yadu

IEEE Sensors Journal (2021). Paper

J A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data.
Hadachi, Amnir; Pourmoradnasseri, Mozhgan

IEEE Transactions on Intelligent Transportation Systems (2021). Paper

C Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter.
Dyrmishi, Salijona; Hadachi, Amnir

The 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) 2021. Paper

C Towards state-full positioning of mobile subscribers through advanced cell coverage modeling technique.
Lind, Artjom; Hadachi, Amnir

The international Conference on Localization and GNSS (ICL-GNSS). IEEE. 2021. Preprint

C NetCalib: A Novel Approach for LiDAR-Camera Auto-calibration Based on Deep Learning.
Wu, Shan; Hadachi, Amnir; Vivet, Damien; Prabhakar, Yadu

The 25th International Conference on Pattern recognition (ICPR2020) 2021. Code Preprint

J Unveiling Large-scale Commuting Patterns Based on Mobile Phone Cellular Network Data.
Hadachi, Amnir; Pourmoradnasseri, Mozhgan; Khoshkhah, Kaveh

The Journal of Transport Geography. Elsevier DOI: 10.1016/j.jtrangeo.2020.102871. (2020) Paper

J Adaptive Edge Process Migration for IoT in Heterogeneous Fog and Edge Computing Environment.
Chang, Chii; Hadachi, Amnir; Narayana Srirama, Satish

The International Journal of Mobile Computing and Multimedia Communications, 11, 1−21. DOI: 10.4018/IJMCMC.2020070101. (2020)

B Mobile Fog Computing.
Chang, Chii; Hadachi, Amnir; Mass, Jakob; Srirama, Satish Narayana

In: Fog Computing: Theory and Practice (3−42). Wiley. (2020)

C Road Surface Recognition Based on DeepSense Neural Network using Accelerometer Data.
Wu, Shan; Hadachi, Amnir

The 31st International IEEE Conference on Intelligent Vehicles Symposium (IV) 2020. Code Preprint

C OD-Matrix Extraction based on Trajectory Reconstruction from Mobile Data.
Pourmoradnasseri, Mozhgan; Khoshkhah, Kaveh; Lind, Artjom; Hadachi, Amnir

The International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2019. Preprint

J Real-time Vehicles Tracking Based on Mobile Multi-sensor Fusion.
Plangi, Siim; Hadachi, Amnir; Lind, Artjom; Bensrhair, Abdelaziz

IEEE Sensors Journal, 10077−10084. DOI: 10.1109/JSEN.2018.2873050. (2018) Paper

B Mobile Big Data: Foundations, State of the Art, and Future Directions.
Chang, Chii; Hadachi, Amnir; Srirama, Narayana, Satish; Min, Mart

In: Springer, Cham. Encyclopedia of Big Data Technologies. DOI: 10.1007/978-3-319-63962-8_46-1. (2018) Paper

J Approach To Estimate Travel Time Using Sparsely Sampled GPS Data in Urban Networks.
Hadachi, Amnir; Mousset, Stephane; Bensrheir, Abdelaziz

In: Electronics Letters, 49 (15), 957−958. (2013) Paper

C Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter.
Vajakas, Toivo; Kiis, Tanel; Hadachi, Amnir; Vainikko, Eero

The 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2018. Preprint

C Introducing Cellular Network Layer into SUMO for Simulating Vehicular Mobile Devices' Interactions in Urban Environment.
Marran,Siim-Toomas; Lind, Artjom; Hadachi, Amnir

The 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 582−589, 2018. Paper

C From Mobility Analysis to Mobility Hubs Discovery: A Concept based on Using CDR Data of the Mobile Networks.
Hadachi, Amnir ;Lind, Artjom; Lomps, Joonas; Piksarv, Peeter

The 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2018. Paper

C A new approach for mobile positioning using the CDR data of cellular networks.
Lind, Artjom; Hadachi, Amnir; Oleg, Batrashev

The 5th IEEE international Conference on Models and Technologies for Intelligent Transportation Systems, 2017. Preprint

C Spatio-Temporal Mobility Analysis for Community Detection in the Mobile Networks Using CDR Data.
Lind, Artjom, ; Hadachi, Amnir; Piksarv, Peeter; Batrashev, Oleg

The 9th International Congress on Ultra Modern Telecommunications and Control Systems, 2017. Preprint

C The Impact of Morphological Processing and Feature Selection on Handwriting Recognition Accuracy. Best Research Award
Lõmps, Joonas; Hadachi, Amnir;

The 4th international Conference on Multimedia, Scientific Information and Visualization for Information Systems and Metrics, 2017. Preprint

J Real time movement labelling of mobile event data.
Kõivumägi, Elis; Vait, Mati; Hadachi, Amnir; Singer, Georg; Vainikko, Eero

In: Journal of Location Based Services, 1−22, Taylor & Francis. DOI: 10.1080/17489725.2015.1032377. (2015). Paper

C Mobility Episode Detection from CDR’s Data using Switching Kalman Filter.
Oleg Batrashev Amnir Hadachi Artjom Lind Eero Vainikko

MobiGIS '15: Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information SystemsNovember, 63–69, 2015. Paper

C Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm.
Hadachi, Amnir; Batrashev, Oleg; Lind, Artjom; Singer, Georg; Vainikko, Eero

The IEEE Intelligent Vehicles Symposium Proceedings, 1049−1054, 2014. Paper

C Practical testing application of travel time estimation using applied Monte Carlo Method and adaptive estimation from probes.
Hadachi, Amnir; Mousset, Stephane; Bensrheir, Abdelaziz

The IEEE Intelligent Vehicles Symposium Proceedings, 1078−1083, 2012.

C An Application of the Sequential Monte Carlo to Increase the Accuracy of Travel Time Estimation in Urban Areas.
Hadachi, Amnir; Lecomte, Christele; Mousset, Stephane; Bensrhair, Abdelaziz

The 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011. Preprint

Copyright AH 2021