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I'm Salah Talamali a Lecturer in the Department of Engineering and Math at Sheffield Hallam University

Currently, I am responsible for managing various automation, control, and robotics modules. In addition, I conduct my own research in the field of swarm robotics. Previously, I worked as a Research Fellow in the Department of Computer Science at University College London (UCL). My research focused on developing multi-agent systems for innovative human-computer interfaces. I was particularly interested in utilizing the theory of multi-agent systems and artificial intelligence to facilitate the use of spatial sound modulators (SSM) in HCI. Prior to this, I obtained a PhD in computer science from the University of Sheffield. My research explored individual behavioral rules that enable robot swarms to achieve desired collective behaviors.

My Resume

Education and Research
2020-2022

Research Fellow in Swarm Robotics

University College London (UCL)

Research topic: Building a swarm robotics based computer-human interaction technology.
Supervisor: Professor Sriram Subramanian

2017-2020

PhD In Computer Science

University of Sheffield

Thesis title: Simple behavioural rules for improving collective behaviours in swarm robotics
Supervisors: Professor James A. R. Marshall and Dr Andreagiovanni Reina
Examiners: Professor Melanie Moses and Dr Michael Mangan

2016-2017

MSc in automation, control, and robotics

Sheffield Hallam University

Thesis title: Automatic calibration for sclable collective robotics
Supervisors: Dr Hongwei Zhang, Professor James A. R. Marshall, and Dr Andreagiovanni Reina

2010-2015

Meng in control engineering

École nationale polytechnique d'alger

Thesis title: Online monitoring of a direct contact membrane distillation system using unknown-input state observers
Supervisors: Professor Mohamed Seghir Boucherit, Professor Mohamed Tadjine, and Dr Messaoud Chakir

Teaching
2021-Present

Lecturer in Automation, Control, and Robotics

Sheffield Hallam University

Modules:

2020-2021

Teaching Assistant

University College London (UCL)

Modules:

2019-2020

Teaching Assistant

University of Sheffield

Modules:

2018-2019

Teaching Assistant

University of Sheffield

Modules:

Research supervision
2018-2019

PhD Thesis

University College London (UCL)

Student: James Hardwick
Thesis title: Design and fabrication of segmented spatial sound modulatiors

2018-2019

MSc Thesis

University of Sheffield

Student: Francesco Canciani
Thesis title: Swarm Resiliency in Collective Decision-Making

2017-2018

MSc Thesis

University of Sheffield

Student: Anna Font Llenas
Thesis title: Value-sensitive decisions through pheromone trails

Skills

C++

12+ years experience

git & Github

7+ years experience

Python

7+ years

Terminal &
Bash scripts

6+ years

Automation & Robotics Hardware

+8 years experience

Scientific writing & Presentation

5+ years

publications

2023 L. Feola, A. Reina, M. S. Talamali, V. Trianni. Multi-Swarm Interaction through Augmented Reality for Kilobots. IEEE Robotics and Automation Letters 8(11): in press, 2023. Journal article BibTeX (2022 Impact Factor: 4.321)
Online videos: https://doi.org/10.1109/LRA.2023.3312031/mm1 and https://doi.org/10.1109/LRA.2023.3312031/mm2
This work will be also included in the conference proceedings of ICRA 2024 —the 2024 IEEE International Conference on Robotics and Automation— Yokohama, Japan (Acceptance Rate about 45%)
2022 T. Aust, M.S. Talamali, M. Dorigo, H. Hamann, A. Reina. The hidden benefits of limited communication and slow sensing in collective monitoring of dynamic environments. In Proceedings of 13th International Conference on Swarm Intelligence (ANTS), LNCS 13491: 234-247. Springer, Cham, 2022. Conference proceedings BibTeX (Acceptance Rate 42%)
2021 M.S. Talamali, A. Saha, J.A.R. Marshall, A. Reina. When less is more: Robot swarms adapt better to changes with constrained communication Science Robotics 6(56): eabf1416 (2021). Journal article BibTeX (2022-2023 Impact Factor: 27.541)
Online video
This study has also been discussed in commentaries published in The Conversation and in PNAS Journal Club, among others.
Part of this work has also been presented at NetSci 2020 (online).
2020 M.S. Talamali, T. Bose, M. Haire, X. Xu, J.A.R. Marshall, A. Reina. Sophisticated Collective Foraging with Minimalist Agents: A Swarm Robotics Test. Swarm Intelligence 14(1):25-56, 2020. Journal article BibTeX (2018 Impact Factor: 2.208)
Online videos
2019 M.S. Talamali, J.A.R. Marshall, T. Bose, A. Reina. Improving collective decision accuracy via time-varying cross-inhibition. Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA 2019) 9652-9659, IEEE, 2019. Conference proceedings BibTeX (Acceptance Rate 44%)
2019 F. Canciani, M.S. Talamali, J.A.R. Marshall, A. Reina. Keep calm and vote on: Swarm resiliency in collective decision making. Proceedings of the Workshop Resilient Robot Teams of ICRA 2019. Workshop BibTeX
2018 A. Font Llenas, M.S. Talamali, X. Xu, J.A.R. Marshall, and A. Reina. Quality-sensitive foraging by a robot swarm through virtual pheromone trails. In Proceedings of 11th International Conference on Swarm Intelligence (ANTS), LNCS 11172: 135--149. Springer, Cham, 2018. Conference proceedings BibTeX (Acceptance Rate 34.8%)
Online videos: http://diode.group.shef.ac.uk/FontLlenas2018.html
* * * Best Paper Award * * *
2018 C. Pinciroli, M.S. Talamali, A. Reina, J.A.R. Marshall and V.Trianni. Simulating Kilobots within ARGoS: models and experimental validation. In Proceedings of 11th International Conference on Swarm Intelligence (ANTS), LNCS 11172: 176-187. Springer, Cham, 2018. Conference proceedings BibTeX (Acceptance Rate 34.8%)
Open source code: https://github.com/ilpincy/argos3-kilobot

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