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I'm Salah Talamali a Research fellow in the Department of Computer Science at University College London (UCL)

I work within the UCL interaction center (UCLIC) under the supervision of professor Sriram Subramanian. I am currently investigating multi-agent systems for novel human-computer intefaces. In particular, I am interested in applying multi-agent systems' theory and artificial intelligence to enable new applications of spatial sound modulators (SSM) in HCI. Prior to this, I completed a PhD in computer science at the University of Sheffield where I investigated individual behavioural rules for allowing robot swarm to achieve desired collective behaviours.

My Resume

Education and Research
2020-Present

Research Fellow in Swarm Robotics

University College London (UCL)

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
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

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++

8+ years experience

git & Github

3+ years experience

Python

3+ years

Terminal &
Bash scripts

3+ years

Automation & Robotics Hardware

+5 years experience

Scientific writing & Presentation

4+ years

publications

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: https://www.youtube.com/playlist?list=PLCGKY9OHLZwMaGeB6cxVfxmHwhBFqKF7a
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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