Decision Support & Analytics Research Group

Advancement in Applied Operations Research (Artifical Intelligence Focused)

Optimisation as its term implies often brings diversified contexts under one umbrella. Despite having opulence of existing optimisation approaches, integration of proper methods with real-life applications is still a challenging and onerous task. Here, we as a team, have been working on many such techniques to foot-print in diversified domains. We have been working on creating different Decision Support Systems (DSS) in Decision Analytics.  

Following the growth and revolution of Industry 4.0 context in industries (particularly, on supply chain and project management domain), the emergence and inevitability of digitalised supply chain (aka, smart supply chain management (SCM)) and digitalised project management and scheduling (or, smart PM&S) became obvious to us. So, from 2017, banking on my Industrial Engineering (IE) skill and computer science knowledge, I along with my team members have been working on different technology decision-making approaches by integrating methodologies related to artificial intelligence (e.g., machine learning, deep learning), evolutionary algorithms (e.g., swarm intelligence and nature-inspired meta-heuristic approaches) and information systems (e.g., influence maximisation). In this process, the range of our research spectrum and skill set (i.e., Operations Research + IE + Systems Engineering + PM&S + SCM + Artificial Intelligence + Evolutionary Algorithms) unveiled a unique and extremely rare dimension in the decision-making literature or technology-enabled decision-making literature.

Similarly, this unique skillset has enabled me (and my team) to apply digitalisation focused optimisation techniques to many important engineering and non-engineering domains. For example, in recent years, we have been applying our OR and optimisation skills in many problems related to computer science (e.g., resource allocation and management for pattern recognition, image processing, internet of things, cyber-physical systems), electrical and electronic engineering (e.g., identification of photovoltaic cells, augmenting inverters, applying optimisation to pulse width modulation and selective harmonic elimination), and system engineering (e.g., simulation-optimisation, multi-criteria decision making).

Considering the recent buzzword on "sustainability", we have further extended our research span by adding different perspectives of sustainability in the industry context (e.g., carbon footprint, minimum transportation, minimisation of energy usage, and waste minimisation). Thence, our future directions would be to “design sustainable technology decision making approaches for cross-disciplinary optimisation problems in a capability context: digitalisation focused”.

 

A few UNSW courses related to our research portfolio:

  • ZZCA6510: Decision Making in Analytics (UNSW Online)
  • ZEIT8403: Capability Options Analysis 
  • ZEIT8404: Decision Making Analytics
  • ZEIT8402: Evidence-based Decision Making
  • ZEIT8310: Project Scheduling & Budget Control
  • ZEIT3506: Managing the Development of Engineered Systems

 

Professional Education Short Courses

Project team

Dr Alireza Abbasi
UNSW Canberra
Mrs Zahra Saberi
UNSW Canberra
Mr Ambikesh Jayal
UNSW Canberra
Mr Shahed Mahmud
UNSW Canberra
Mr Md. Asadujjaman
UNSW Canberra
Mr Tarun Kumer Biswas
UNSW Canberra
Mr Md. Sanowar Hossain
Academic & Student Life
Miss Aaliya Sarfaraz
UNSW Canberra
Mr Supriyo Shafkat Ahmed
Academic & Student Life

Project collaborators: External

Professor Ofer Zwikael
Austrlian National University, Canberra, Australia
Dr Al-shihabi Sameh
S P Jain School of Global Management, Sydney, Australia
Dr Hasan Furhad
Canberra Institute of Technology, Canberra, Australia
Dr Mehran Samavati
Sheffield University Management School, UK
Dr Mustafa Jahangoshai Rezaee
Urmia University of Technology, Urmia, Iran
Mr Hasan Mashud Jewel
Jahangirnagar University, Bangladesh
Dr Mehdi Hussain
North South University, Bangladesh
Dr Morteza Saberi
University of Technology Sydney, Sydney, Australia
Dr Sanjoy Kumar Paul
University of Technology Sydney, Sydney, Australia
Dr Priyabrata Chowdhury
RMIT University, Melbourne, Australia
Dr Khan M. A. Haque
The University of Texas at Arlington, Arlington, TX, USA
Mr Manoj Mathew
Shri Shankaracharya Institute of Professional Management & Technology, Raipur, India
Professor Dr Mohamed Abdel-Basset
Zagazig University, Zagazig, Al Sharqia, Egypt, 44519
A/Professor Dr Mohd Tariq
Aligarh Muslim University, Aligarh, India
Dr David Weidong LIN
Singapore Institute of Technology
Dr Christine Zhang Chun Ning
Singapore Institute of Technology
Dr Sajal Kumar Das
Assistant Professor, Rajshahi University of Engineering & Technology
Dr Mohd Adil
National Institute of Technology, Hamirpur, India
Dr Adnan Anwar
Deakin University, Australia
Professor Syed Mithun Ali
Bangladesh University of Engineering & Technology (BUET)
Professor Mario Vanhoucke
Faculty of Economics and Business Administration, Department of Business Informatics and Operations Management, Ghent University, Belgium
Professor Habil Dmitry Ivanov
Berlin School of Economics and Law, HWR Berlin, Germany
Dr Seyed Jalaleddin Mousavirad
Independent Consultant and Researcher on Optimization, Machine Learning, and Image Processing
Professor Amir H Gandomi
University of Technology Sydney (UTS), Australia
Professor Weiping Ding
Deputy Dean of School of Information Science and Technology, Nantong University, China
Shubham Mahajan
School of Electronics & Communication Engineering, Shri Mata Vaishno Devi University, India
Dr Mohamed Loey
Assistant Professor of Computer Science, Artificial Intelligence, Benha University
Dr Atika Qazi
Assistant Professor, University Brunei Darussalam, Brunei
Dr Tom Servranckx
Faculty of Economics and Business Administration, Department of Business Informatics and Operations Management, Ghent University, Belgium
‪Saeed Aramesh‬
Department of Industrial Engineering, Shahed University, Iran

Key contact

0414388209
r.chakrabortty@adfa.edu.au