AMNIR HADACHI

Research

Interest

My primary research interests are related to: 

1. Intelligent Transporation Systems
2. Internet of Vehicles (IoV)
3. Location Based Services
   
4. Data Mining
5. Big Data Analytics
6. Tracking and Localization
7. Real Time Systems

Current Research

The research topics conducted are related to: 

1. Mobility Prediction and Mining
2. Localization in Mobile Network 
3. Travel Time Estimation and Prediction 
4. Semantic Profiling
5. Internet of Vehicles and Location Based Services Intergation
6. Map-Matching
7. Mining Spatio-temporal data

Projects

1. Applied research on system of sensors and software algorithms for safety and driver assistance on remotely operated ground vehicles for off-road applications (NutikasUGV:2018-2021) ⓘ
2. Methods and Algorithms for Urban Mobility (MAUM:2018-2019) ⓘ
3. Population Movement Analytics, Monitoring and Prediction Algorithms (PoMAMPA:2016-2019) ⓘ
4. Predictive and Mining Algorithms for Behavioral Analysis and Performance Assessment (GoData:2017-2018) ⓘ
5. Data Science Methods and Applications (DSMA:2015-2020) ⓘ
6. Large Real-time Location Data Algorithms (LR-LDA:2013-2015) ⓘ

Theses

PhD Theses Under Supervision 

Phd Student: Artjom Lind
Topic: Towards Solving Nonlinear Dynamic System for Refining Mobile Positioning Based on CDR Data.

Phd Student: Toivo Vajakas                              
Topic: Analysis of the Accuracy Factors of Map-matching-based Report-Generation Pipeline

Defended Master Theses

• 

  Accuracy Affecting Factors for Optical Handwritten Character Recognition

  By Joonas Lõmps
  Year: 2018

• 

  Road Detection and Recognition from Monocular Images Using Neural Networks

  By Leonid Dashko
  Year: 2018

• 

  Sales and Demographic Data Visualization, Analysis and Forecasting

  By Taavi Ilmjärv
  Year: 2018

• 

  Link Travel Time Prediction Based on O-D Matrix and Neural Networks

  By Ayobami Ephraim Adewale
  Year: 2018

• 

  Modelling and Simulating Indoor Pedestrian Movement Behaviour and Displacement

  By Annika Laumets-Tättar
  Year: 2018

• 

  Real-time Localisation and Tracking System for Navigation Based on Mobile Multi-sensor Fusion

  By Siim Plangi, Year: 2018

• 

  Vehicle Detection Based on Convolutional Neural Networks

  By Viktoria Plemakova
  Year: 2018

• 

  Human Body Poses Recognition Using Neural Networks with Class Based Data Augmentation

  By Karl-Kristjan Luberg
  Year: 2018

• 

  Simulating Road Traffic for Generating Cellular Network Logs in Urban Context

  By Siim-Toomas Maran
  Year: 2017

• 

  Pedestrian Detection and Tracking in Urban Context Using a Mono-camera

  By Asmar Hasanova
  Year: 2017

• 

  Opinion Mining and Sentiment Analysis using Bayesian and Neural Networks Approaches

  By Olha Shepelenko
  Year: 2017

• 

  Trajectory Reconstruction and Mobility Pattern Analysis Based on Call Detail Record Data

  By Annett Saarik
  Year: 2017

• 

  Human Mobility Mining Using Spatio-Temporal Data

  By Dmitri Timašov
  Year: 2016

• 

  Mobility Data Mining for Rural and Urban Map-Matching

  By Margus Haavala
  Year: 2016

• 

  Foot Detection Method for Footwear Augmented Reality Applications

  By  Gustav Amer
  Year: 2016

• 

  Placement and Movement Episodes Detection Using Mobile Trajectories Data

  By Mariano Hedberto Jofre
  Year: 2015

Defended Bachelor Theses

Publications

Journals and Book Chapters:

• Hadachi, Amnir, and Artjom Lind. "Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks." arXiv preprint arXiv:1902.09399 ,2019.  [ Article]
• Chang, Chii, Amnir Hadachi, and Satish Srirama. "Adaptive Edge Process Migration for IoT in Heterogeneous Cloud-Fog-Edge Computing Environment." arXiv preprint arXiv:1811.10939 ,2018.  [ Article]
• S. Plangi, A. Hadachi, A. Lind, A. Bensrhair, "Real-time Vehicles Tracking Based on Mobile Multi-sensor Fusion", in the IEEE Sensors Jouranl, 2018.  [ Article]
• C. Chang, A. Hadachi, S. N. Srirama, M. Min: Mobile Big Data: Foundations, State-of-the-Art, and Future Directions, Book title: Encyclopedia of Big Data Technologies, Editors: S. Sakr, A. Zomaya, Springer, 2018.  [ Article]
• Elis Koivumägi, Mati Vait, Amnir Hadachi, Georg Singer, Eero Vainikko, "Real Time Movement Labeling of Mobile Event Data", in Journal of Location Based Services (Taylor & Francis Editors), pp. 1–22, Apr. 2015.  [ Article][ Presentation]
• Amnir Hadachi, Stephane Mousset, Abdelaziz Bensrhair, “Approach To Estimate Travel Time Using Sparsely Sampled GPS Data in Urban Networks.” the IEE Electronics Letters Journal 2013. [ Article]

International Conferences and Workshops:

• Hadachi, A ,Lind, A., Lomps.J, Piksarv, P." From Mobility Analysis to Mobility Hubs Discovery: A Concept based on Using CDR Data of the Mobile Networks". 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2018. IEEE, 2018. [ Article]
• Vajakas, T., Kiis, T., Hadachi, A., Vainikko, E., ”Mobility Episode Discovery in the Mobile Networks Based on Enhanced Switching Kalman Filter”, 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2018. IEEE, 2018. [ Article]
• Siim-Toomas, Marran; Artjom, Lind; Amnir, Hadachi,“Introducing Cellular Network Layer into SUMO for Simulating Vehicular Mobile Devices' Interactions in Urban Environment”, The 4th International Conference on Vehicle Technology and Intelligent Transport Systems and Control Systems, Madeira, Portugal, March, 2018. [ Article]
• Artjom, Lind; Amnir, Hadachi; Peeter, Piksarv; Oleg Batrashev,“Spatio-Temporal Mobility Analysis for Community Detection in the Mobile Networks Using CDR Data”, The 9th International Congress on Ultra Modern Telecommunications and Control Systems, Munich, Germany, November, 2017. [ Article]
• Artjom, Lind; Amnir, Hadachi; Oleg Batrashev,“A new approach for mobile positioning using the CDR data of cellular networks”, The 5th IEEE international Conference on Models and Technologies for Intelligent Transportation Systems, Napoli, Italy, June, 2017. [ Article]
• Joonas, Lõmps; Amnir, Hadachi, “The Impact of Morphological Processing and Feature Selection on Handwriting Recognition Accuracy”, The 4th international Conference on Multimedia, Scientific Information and Visualization for Information Systems and Metrics, Sevilla, Spain, January, 2017. *Best Research*[ Article]
• Batrashev, Oleg; Hadachi, Amnir; Lind, Artjom; Vainikko, Eero, “Mobility Episode Detection from CDR’s Data using Switching Kalman Filter”, The 4th ACM SIGSPATIAL international Workshop on Mobile Geographic Information Systems, Seattle, Washington, USA, November, 2015. [ Article]
• Hadachi, Amnir; Batrashev, Oleg; Lind, Artjom; Singer, Georg; Vainikko, Eero. “Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm”, in the IEEE Proceedings: Intelligent Vehicles Symposium IV14, Dearborn, Michigan, USA; June 8-11, pp: 1049 – 1054, 2014. [ Article]
• Amnir Hadachi, Stephane Mousset, Christele Lecomte and Abdelaziz Bensrhair,” Travel Time Estimation Using Cooperative Probes Vehicles”, in The 6th International Symposium on signal, Image, Video and Communications, Valenciennes, France on July 4-6, pp: 1078- 1083, 2012. [ Article][ Presentation]
• Amnir Hadachi, Stéphane Mousset, Abdelaziz Bensrhair, “Practical Testing Application of Travel Time Estimation Using Applied Monte Carlo Method and Adaptive Estimation from Probes”, in the IEEE Intelligent Vehicles Symposium IV12, Alcalá de Henares, Spain, June 3-7, 2012. [ Article]
• Amnir Hadachi, Christele Lecomte, Stephane Mousset and Abdelaziz Bensrhair,"An Application of the Sequential Monte Carlo to Increase the Accuracy of Travel Time Estimation in Urban Areas", in the 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA. October 5-7, 2011. [ Article]

Copyright © 2016 AH.