Profile image of Atabak Elmi

Dr Atabak Elmi

STAFF PROFILE

Position

Lecturer, IT Industry Projects

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Qualifications

Doctor of Philosophy, Dokuz Eylul University, 2014

Contact

atabak.elmi@deakin.edu.au
+61 3 924 68109

Biography

Atabak Elmi is a lecturer at the Deakin University in Mathematics and Optimisation. In 2014, he completed his PhD in Industrial Engineering at Dokuz Eylul University. He previously held teaching and research positions at Gaziantep University's Department of Industrial Engineering (2014-2017), and later at Monash University's School of Mathematics and Faculty of Engineering (2017-2020).

Through his experience and knowledge of manufacturing, production, and transportation systems, he developed solutions to real-life planning and scheduling problems in these systems. A variety of Artificial Intelligence and Operations Research techniques as well as exact and approximate methods were applied to develop these methods. He has extensive teaching experience in operations research, project management and industry-oriented units.

Read more on Atabak's profile

Research interests

  • Scheduling and Sequencing
  • Mathematical Modelling
  • Combinatorial Optimisation
  • Integer Programming
  • Metaheuristic and Matheuristic
  • Advanced Manufacturing Systems
  • Operations and Production Management
  • Supply Chain Management

Units taught

  • Industry Capstone
  • Professional Practice in IT
  • Operations Research
  • Applied Mathematical Modelling and Programming
  • Applied simulation modelling
  • Multi-Objective and Multi-Criteria Decision-Making
  • Project Planning and Control (Eng and IT)

Awards

2021 - Vice-Chancellor’s Award for Outstanding Contribution to Education and Employability, Deakin University

2023 - School of IT Award for Outstanding Contribution to Student Experience, Deakin University

Publications

Filter by

2022

Exploiting a fleet of UAVs for monitoring and data acquisition of a distributed sensor network

S MahmoudZadeh, A Yazdani, A Elmi, A Abbasi, P Ghanooni

(2022), Vol. 34, pp. 5041-5054, Neural Computing and Applications, C1

journal article

Blocking Cyclic Job-Shop Scheduling Problems

A Elmi, D Thiruvady, A Ernst

(2022), Vol. 15, pp. 1-23, Algorithms, Basel, Switzerland, C1

journal article
2021

A bender's algorithm of decomposition used for the parallel machine problem of robotic cell

M Alaei, M Soysal, A Elmi, A Banaitis, N Banaitiene, R Rostamzadeh, S Javanmard

(2021), Vol. 9, Mathematics, C1

journal article

Distributed assembly permutation flow shop problem; Single seekers society algorithm

Alper Hamzadayı, Mehmet Arvas, Atabak Elmi

(2021), Vol. 61, pp. 613-631, Journal of Manufacturing Systems, Amsterdam, The Netherlands, C1

journal article
2020

Cyclic flow shop robotic cell scheduling problem with multiple part types

A Elmi, A Nazari, D Thiruvady, A Durmusoglu

(2020), pp. 1-13, IEEE transactions on engineering management, Piscataway, N.J., C1

journal article

An Ant Colony Optimisation Based Heuristic for Mixed-model Assembly Line Balancing with Setups

Dhananjay Thiruvady, Asef Nazari, Atabak Elmi

(2020), pp. 1-8, CEC 2020 : Proceedings from the IEEE Congress on Evolutionary Computation, Online from Glasgow, Scotland, E1

conference

Minimising Cycle Time in Assembly Lines: A Novel Ant Colony Optimisation Approach

Dhananjay Thiruvady, Atabak Elmi, Asef Nazari, Jean Schneider

(2020), Vol. 12576, pp. 125-137, AI 2020 : Proceeding of the 33rd Australasian Joint Conference on Artificial Intelligence and Advances in Artificial Intelligence 2020, Online from Canberra, A.C.T., E1

conference

Simulated Annealing for Single and Mixed Model Assembly Line Balancing with Setups

Asef Nazari, Dhananjay Thiruvady, Atabak Elmi, Jean-Guy Schneider

(2020), pp. 2762-2769, SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australian Capital Territory, E1

conference
2017

Cyclic job shop robotic cell scheduling problem: ant colony optimization

A Elmi, S Topaloglu

(2017), Vol. 111, pp. 417-432, Computers and industrial engineering, Amsterdam, The Netherlands, C1-1

journal article

Combinatorial Benders cuts for assembly line balancing problems with setups

S Akpinar, A Elmi, T Bektaş

(2017), Vol. 259, pp. 527-537, European journal of operational research, Amsterdam, The Netherlands, C1-1

journal article

Multi-degree cyclic flow shop robotic cell scheduling problem with multiple robots

A Elmi, S Topaloglu

(2017), Vol. 30, pp. 805-821, International journal of computer integrated manufacturing, Abingdon, Eng., C1-1

journal article
2016

Multi-degree cyclic flow shop robotic cell scheduling problem: ant colony optimization

A Elmi, S Topaloglu

(2016), Vol. 73, pp. 67-83, Computers and operations research, Amsterdam, The Netherlands, C1-1

journal article
2014

Scheduling multiple parts in hybrid flow shop robotic cells served by a single robot

A Elmi, S Topaloglu

(2014), Vol. 27, pp. 1144-1159, International journal of computer integrated manufacturing, Abingdon, Eng., C1-1

journal article
2013

A scheduling problem in blocking hybrid flow shop robotic cells with multiple robots

A Elmi, S Topaloglu

(2013), Vol. 40, pp. 2543-2555, Computers and operations research, Amsterdam, The Netherlands, C1-1

journal article

A tabu search approach for cell scheduling problem with makespan criterion

M Solimanpur, A Elmi

(2013), Vol. 141, pp. 639-645, International journal of production economics, Amsterdam, The Netherlands, C1-1

journal article
2011

A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts

A Elmi, M Solimanpur, S Topaloglu, A Elmi

(2011), Vol. 61, pp. 171-178, Computers and Industrial Engineering, C1

journal article

A tabu search approach for group scheduling in buffer-constrained flow shop cells

M Solimanpur, A Elmi

(2011), Vol. 24, pp. 257-268, International Journal of Computer Integrated Manufacturing, C1

journal article

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report