Ali Balador, Researcher

E-mail:
ali.balador@mdu.se
Room:
U1-191
Phone:
+46730532133
Phone (alt):
+46736621583
Division:
Division of Networked and Embedded Systems
Research groups:
Data Communication
Real-Time Systems Design
Web:
Linkedin page


I am currently an Assistant Professor at Mälardalen University. I received my Ph.D. degree in Informatics from the Technical University of Valencia in 2016. My research interests include wireless networks, network simulation, distributed systems, cloud and edge computing, and security & privacy. I have published my research works in international journals and conferences, such as International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Journal of IETE Technical Review, IEEE PIMRC 2016, IEEE VTC2015-Fall, IEEE CCNC 2015. I was a visiting researcher at University of Bologna in Italy, Halmstad University in Sweden, and the National Institute of Informatics (NII) in Japan. 

Services to the Research Community

  • General Co-chair of the TC-CPS 2018 Workshop.
  • Part of the Technical Program Committee in VTC 2018-Fall, VENITS 2016-2017 workshop.
  • Reviewer of IEEE Wireless Communications Magazine, IEEE Journal on Selected Areas in Communication (JSAC), IEEE Vehicular Technology Magazine, IEEE Communication Letter, IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, International Journal of Distributed Sensor Networks, Journal of Network and Computer Applications, Ad Hoc Networks, Sensors Journal, IEEE GLOBECOM, ICC, PIMRC, LCN, and VTC, among others.
  • Young Professionals Representative for IEEE Vehicular Technology Society
 
Projects:

Previous projects:

  • Reliance (Resilient and Scalable Slicing over Multiple Domains), Role: 5G Specialist, Abstract: RELIANCE extends the 5G network architecture with new functionalities needed for multiservice and multi-domain management, with the related abstractions, interfaces, and mechanisms to support needed resilience, security, and scalability.

    Duration: December 2018– December 2020, Partners: 19 partners from 6 countries, including Sweden, Spain, Finland, Turkey, France, and Norway.

  • SafePos 2 (Safety positioning for first responders and remote controlled fire and rescue vehicles in mines),  Role: Internal Project Manager,  Abstract: SafePos 2 is a national funded project that aims to increase the possibility for positioning and connectivity for use in manual or remote controlled fire and rescue operations in complex underground structures. Duration: September 2016–September 2018. 

  • FRONT (Future Railway Communication Network), Role: Project Manager, Abstract: FRONT project is intended to evaluate and plan for a future communication platform that supports network abstractions to the applications. Duration: January 2016–December 2016. 

  • Walkie-Talkie, National Research Foundation, Role: Network Expert. Duration: January 2012–December 2014.

  • ACDC (Autonomous Cooperative Driving: Communication issues), National Research Foundation, Volvo, Scania, Role: External Network Expert, Abstract: the goal of the project was to support autonomous cooperative driving with dependable wireless real-time communications. Duration: January 2014–December 2016.

  • Smart@CarPhone (Toward Seamless Smartphone and Vehicle Integration to Connect Drivers with Sensors and the Environment in a Holistic Service-Oriented Architecture), Role: Communication Technologies Expert,  Abstract: The overall objective the project is to achieve a seamless integration between vehicles and smartphones devices, allowing to sense data from inside the vehicle and the outside environment, and build upon that data to provide the end user with a full set of ITS mobility solutions. Duration: May 2015–May 2018.
 
Previous Students:

PhD Level:
  • Elvin Eziama, Windsor University, Canada, Malicious Node Detection on Vehicular Ad-Hoc Network Using Machine Learning and Deep Learning 
  • Tina Samizadeh, Islamic Azad University, Iran, Multi-level Task Scheduling Based on Queueing Theory in Fog Computing Systems

Master Level:
 
  • Yujue Wang, KTH, Data Management for the manufacturing industry.
  • Mathias Tengstrom, Chalmers, Design a Hybrid Communication System for Vehicular Applications.
  • Aman Gulia, KTH, Vehicle-to-Vehicle (V2V) Services Supported by LTE-Based Systems and 5G.
 

His research interests include wireless networks, network simulation, distributed systems, cloud and edge computing, and security & privacy.

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Latest publications:

Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics (Mar 2024)
Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini
Journal of Parallel and Distributed Computing (JPDC)

Server Time Reservation for Periodic Real-Time Applications (Dec 2023)
Ali Balador, Lizzy Tengana , Mohammad Ashjaei, Saad Mubeen
The First International Workshop on Intelligent Systems and Paradigms for Next Generation Computing Evolution (INSPIRE'23)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition (Sep 2023)
Samaneh Mohammadi, Mohammadreza Mohammadi , Sima Sinaei, Ali Balador, Ehsan Nowroozi , Francesco Flammini, Mauro Conti
18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023)

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition (Aug 2023)
Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
18th International Conference on Information Security Practice and Experience (ISPEC 2023)

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems (Jun 2023)
Tijana Markovic, Alireza Dehlaghi Ghadim, Miguel Leon Ortiz, Ali Balador, Sasikumar Punnekkat
18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)