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Dr Dhananjay Thiruvady

STAFF PROFILE

Position

Associate Head of School, Industry Research

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Qualifications

Doctor of Philosophy, Monash University, 2012
Master of Information Technology, Monash University, 2006
Bachelor of Computing Science, Monash University, 2003
Bachelor of Computing (Computer Science & Software Development), Deakin University, 2002

Contact

Biography

Dhananjay Thiruvady is a Senior Lecturer in Mathematics and Optimisation at Deakin University. Since completing his Ph.D in Optimisation (Monash University, 2012), he has worked at the interface of academia and industry. He develops techniques in artificial intelligence and operations research and applies these in the application areas of mining, logistics, health, biosecurity and land-use. He has published over 60 papers in high-ranked conferences and journals in evolutionary computation and operations research. He has previously been on the program committee of the Australasian Data Mining Conference (AusDM), the International Conference on Swarm Intelligence (ANTS), the Genetic and Evolutionary Programming Conference (GECCO), and Hybrid Metaheuristics. His teaching spans industry-oriented units to algorithms and computer programming, for which he has achieved multiple awards.

Read more on Dhananjay's profile

Research interests

  • Combinatorial optimisation
  • Integer programming
  • Meta-/Matheuristics
  • Machine learning
  • Mining
  • Logistics
  • Health
  • Biosecurity
  • Land-use

Teaching interests

  • Capstone
  • Algorithms and Data Structures
  • C++ Programming
  • Java Programming
  • Business Intelligence

Units taught

  • Team Project (A) - Project Management and Practices
  • Team Project (B) - Execution and Delivery
  • Algorithms and Data Structures
  • Algorithmic Problem Solving
  • Business Intelligence and Data Warehousing
  • Introduction to Programming / Computer Science

Knowledge areas

  • Optimisation
  • Operations research
  • Artificial Intelligence
  • Machine learning
  • Industry Capstone

Conferences

  • Genetic and Evolutionary Computation Conference
  • Congress on Evolutionary Computation
  • Hybrid metaheuristics
  • Evolutionary Combinatorial Optimisation

Awards

  • 2019 - Leadership in Teaching and Learning
  • 2020 - Exceptional Team Collaboration and Positive Student Experience
  • 2020 - Excellence in Leadership, Teamwork and Innovation
  • 2020 - Excellence in Academic Leadership
  • 2021 - Vice Chancellor's award for Teaching Excellence in Assessment Design
  • 2021 - Excellence in Unit Leadership and Supporting Student Learning
  • 2022 - SIT Award for Excellence in Collaboration

Publications

Filter by

2024

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

Dhananjay Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

(2024), pp. 1-24, International Journal of Production Research, London, Eng., C1

journal article

Enhancing constraint programming via supervised learning for job shop scheduling

Y Sun, S Nguyen, D Thiruvady, X Li, A Ernst, U Aickelin

(2024), Vol. 293, Knowledge-Based Systems, C1

journal article
2023

A sustainable and efficient home health care network design model under uncertainty

Mahdyeh Shiri, Fardin Ahmadizar, Dhananjay Thiruvady, Hamid Farvaresh

(2023), Vol. 211, pp. 1-22, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Quantifying the Safe Operating Space for Land‐System SDG Achievement via Machine Learning and Scenario Discovery

Md Khan, Enayat Moallemi, Asef Nazari, Dhananjay Thiruvady, Brett Bryan

(2023), Vol. 11, Earth's Future, C1

journal article

Deterministic sampling in heterogeneous graph neural networks

F Ansarizadeh, D Tay, D Thiruvady, A Robles-kelly

(2023), Vol. 172, pp. 74-81, Pattern Recognition Letters, C1

journal article

Conserving nature's chorus: Local and landscape features promoting frog species richness in farm dams

M Malerba, J Rowley, P Macreadie, J Frazer, N Wright, N Zaidi, A Nazari, D Thiruvady, D Driscoll

(2023), Vol. 286, Biological Conservation, C1

journal article

ZVT Interleaved High Step-Up Converter For Renewable Energy Systems

Baharak Akhlaghi, Hosein Farzanehfard, Dhananjay Thiruvady, Rasoul Faraji, Fatemeh Shiri

(2023), pp. 1-6, PEDSTC 2023 : Proceedings of the 14th Power Electronics, Drive Systems, and Technologies Conference, Babol, Iran, E1

conference
2022

Surrogate-assisted Population Based ACO for Resource Constrained Job Scheduling with Uncertainty

Dhananjay Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

(2022), pp. 1-16, Swarm and Evolutionary Computation, Amsterdam, The Netherlands, C1

journal article

Instance space analysis for the car sequencing problem

Yuan Sun, Samuel Esler, Dhananjay Thiruvady, Andreas Ernst, Xiaodong Li, Kerri Morgan

(2022), Annals of Operations Research, Berlin, Germany, 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

Recombinative approaches for the maximum happy vertices problem

D Thiruvady, R Lewis

(2022), Vol. 75, pp. 1-14, Swarm and Evolutionary Computation, Amsterdam, The Netherlands, C1

journal article

Applying Artificial Intelligence in Cryptocurrency Markets: A Survey

Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady

(2022), Vol. 15, pp. 1-26, Algorithms, Basel, Switzerland, C1

journal article

Minimizing patients total clinical condition deterioration in operating theatre departments

O Mashkani, A Ernst, D Thiruvady, H Gu

(2022), Annals of Operations Research, Berlin, Germany, C1

journal article
2021

Artificial intelligence and the transformation of digital education: robotics, student skills, and learning analytics

Nicholas Patterson, Dhananjay Thiruvady, Guy Wood-Bradley

(2021), pp. 24-41, Handbook of research on management and strategies for digital enterprise transformation, Hershey, Pa., B1

book chapter

The maximum happy induced subgraph problem: Bounds and algorithms

R Lewis, D Thiruvady, K Morgan

(2021), Vol. 126, Computers and Operations Research, C1

journal article

A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming

S Nguyen, D Thiruvady, M Zhang, K Tan

(2021), Vol. 25, pp. 492-507, IEEE Transactions on Evolutionary Computation, C1

journal article

Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming

S Nguyen, D Thiruvady, M Zhang, D Alahakoon

(2021), Vol. PP, IEEE Transactions on Cybernetics, United States, C1

journal article

A hybrid deep-learning approach for complex biochemical named entity recognition[Formula presented]

J Liu, L Gao, S Guo, R Ding, X Huang, L Ye, Q Meng, A Nazari, D Thiruvady

(2021), Vol. 221, Knowledge-Based Systems, C1

journal article

Allocating students to industry placements using integer programming and ant colony optimisation

D Thiruvady, K Morgan, S Bedingfield, A Nazari

(2021), Vol. 14, Algorithms, C1

journal article

Bio-inspired heuristic dynamic programming for high-precision real-time flow control in a multi-tributary river system

B Liu, J Yang, L Gao, A Nazari, D Thiruvady

(2021), Vol. 230, Knowledge-Based Systems, C1

journal article

An Efficient Merge Search Matheuristic for Maximising Net Present Value in Project Scheduling

Dhananjay Thiruvady, Su Nguyen, Christian Blum, Andreas Ernst

(2021), International Journal of Operational Research, Olney, Eng., C1

journal article

Handbook of Research on Management and Strategies for Digital Enterprise Transformation

K Sandhu

(2021), Hershey, Pa., A7-1

edited book

Augmenting graph convolutional neural networks with highpass filters

Fatemeh Ansarizadeh, David Tay, Dhananjay Thiruvady, Antonio Robles-Kelly

(2021), Vol. 12644, pp. 77-86, S+SSPR 2021 : Proceedings of the IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition and Statistical Techniques in Pattern Recognition, Online from Italy, E1

conference

Reforming Assessment: Challenges Beyond Design

Laura Tubino Larizbeascoa, Jean Schneider, Andrew Cain, Dhananjay Thiruvady, Chathu Ranaweera

(2021), pp. 78-88, ICSE-SEET 2021 : Proceedings of the 43rd International Conference on Software Engineering: Software Engineering Education and Training, Madrid, Spain, E1

conference
2020

Large neighbourhood search based on mixed integer programming and ant colony optimisation for car sequencing

D Thiruvady, K Morgan, A Amir, A Ernst

(2020), Vol. 58, pp. 2696-2711, International Journal of Production Research, C1

journal article

Tackling the maximum happy vertices problem in large networks

D Thiruvady, R Lewis, K Morgan

(2020), Vol. 18, pp. 507-527, 4OR, C1

journal article

The Challenges of Leveraging Threat Intelligence to Stop Data Breaches

A Ibrahim, D Thiruvady, J Schneider, M Abdelrazek

(2020), Vol. 2, Frontiers in Computer Science, C1

journal article

Multi-objective beam-aco for maximising reliability and minimising communication overhead in the component deployment problem

D Thiruvady, A Nazari, A Aleti

(2020), Vol. 13, Algorithms, C1

journal article

Solution merging in matheuristics for resource constrained job scheduling

D Thiruvady, C Blum, A Ernst

(2020), Vol. 13, Algorithms, C1

journal article

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

Just-in-time batch scheduling subject to batch size

Sergey Polyakovskiy, Dhananjay Thiruvady, Rym M'Hallah

(2020), pp. 228-235, GECCO 2020 : Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Cancun, Mexico, E1

conference

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

Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling

Su Nguyen, Dhananjay Thiruvady

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

conference

Authentic Individual Assessment for Team-based Software Engineering Projects

Laura Tubino Larizbeascoa, Andrew Cain, Jean Schneider, Dhananjay Thiruvady, Thotage Fernando

(2020), pp. 1-11, ICSE 2020 : Proceedings of the 42nd International Conference on Software Engineering, Online from Seoul, South Korea, 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

Minimizing Total Clinical Deterioration in Operating Theatres

Mobina Mashkani, Hanyu Gu, Dhananjay Thiruvady, Andreas Ernst

(2020), pp. 2373-2380, SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australian Capital Territory, E1

conference
2019

Finding happiness: an analysis of the maximum happy vertices problem

R Lewis, D Thiruvady, K Morgan

(2019), Vol. 103, pp. 265-276, Computers and operations research, Amsterdam, The Netherlands, C1

journal article

A hybrid differential evolution algorithm with column generation for resource constrained job scheduling

S Nguyen, D Thiruvady, A Ernst, D Alahakoon

(2019), Vol. 109, pp. 273-287, Computers and operations research, Amsterdam, The Netherlands, C1-1

journal article

Maximising the net present value of project schedules using CMSA and parallel ACO

D Thiruvady, C Blum, A Ernst

(2019), Vol. 11299, pp. 16-30, HM 2019 : Proceedings of the 11 International Workshop on Hybrid Metaheuristics, Concepción, Chile, E1-1

conference

A biased random key genetic algorithm with rollout evaluations for the resource constraint job scheduling problem

C Blum, D Thiruvady, A Ernst, M Horn, G Raidl

(2019), Vol. 11919, pp. 549-560, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference
2018

Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling

Su Nguyen, Dhananjay Thiruvady, Andreas Ernst, Damminda Alahakoon

(2018), pp. 1167-1174, GECCO '18 : Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, E1-1

conference
2017

Resource constrained job scheduling with parallel constraint-based ACO

Dror Cohen, Antonio Gómez-Iglesias, Dhananjay Thiruvady, Andreas Ernst

(2017), Vol. 10142, pp. 266-278, ACALCI 2017 : Third Australasian Conference on Artificial Life and Computational Intelligence, Geelong, Victoria, E1-1

conference

Towards solving large-scale precedence constrained production scheduling problems in mining

Angus Kenny, Xiaodong Li, Andreas Ernst, Dhananjay Thiruvady

(2017), pp. 1137-1144, GECCO '17 : Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, Germany, E1-1

conference

Towards Solving Large-Scale Precedence Constrained Production Scheduling Problems in Mining

Angus Kenny, Xiaodong Li, Andreas Ernst, Dhananjay Thiruvady

(2017), pp. 1137-1144, GECCO '17 : Proceedings of the 2017 Genetic and Evolutionary Computation Conference, Berlin, Germany, E1-1

conference
2016

A mixed integer linear programming model for reliability optimisation in the component deployment problem

A Nazari, D Thiruvady, A Aleti, I Moser

(2016), Vol. 67, pp. 1050-1060, Journal of the operational research society, Basingstoke, Eng., C1-1

journal article

Parallel ant colony optimization for resource constrained job scheduling

Dhananjay Thiruvady, Andreas Ernst, Gaurav Singh

(2016), Vol. 242, pp. 355-372, Annals of operations research, New York, N.Y., C1-1

journal article
2015

Using optimisation to suggest alternative supply chains in the context of industrial symbiosis

F Stock, S Dunstall, M Ayre, A Ernst, A Nazari, D Thiruvady, S King

(2015), pp. 1766-1772, MODSIM2015 : Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast, Queensland, E1-1

conference
2014

A lagrangian relaxation and ACO hybrid for resource constrained project scheduling with discounted cash flows

D Thiruvady, M Wallace, H Gu, A Schutt

(2014), Vol. 20, pp. 643-676, Journal of heuristics, New York, N.Y., C1-1

journal article

A Lagrangian-ACO matheuristic for car sequencing

D Thiruvady, A Ernst, M Wallace

(2014), Vol. 2, pp. 279-296, EURO journal on computational optimization, Berlin, Germany, C1-1

journal article

Constraint programming and ant colony system for the component deployment problem

D Thiruvady, I Moser, A Aleti, A Nazari

(2014), Vol. 29, pp. 1937-1947, ICCS 2014 : Big data meets computational science : Proceedings of the International Conference on Computational Science, Cairns, Qld., E1-1

conference

A parallel Lagrangian-ACO heuristic for project scheduling

O Brent, D Thiruvady, A Gómez-Iglesias, R García-Flores

(2014), pp. 2985-2991, IEEE CEC 2014 : Proceedings of the 2014 IEEE Congress on Evolutionary Computation, Beijing, China, E1-1

conference

Hybrids of integer programming and ACO for resource constrained job scheduling

D Thiruvady, G Singh, A Ernst

(2014), Vol. 8457, pp. 130-144, HM 2014 : Proceedings of the 9th International Workshop on Hybrid Metaheuristics, Hamburg, Germany, E1-1

conference
2013

Constraint-based ACO for a shared resource constrained scheduling problem

D Thiruvady, G Singh, A Ernst, B Meyer

(2013), Vol. 141, pp. 230-242, International journal of production economics, Amsterdam, The Netherlands, C1-1

journal article
2011

Car sequencing with constraint-based ACO

D Thiruvady, B Meyer, A Ernst

(2011), pp. 163-170, GECCO 2011 : Genetic and Evolutionary Computation Conference : July 12-16, 2011, Dublin, Ireland., Dublin, Ireland, E1-1

conference
2009

Hybridizing Beam-ACO with constraint programming for single machine job scheduling

D Thiruvady, C Blum, B Meyer, A Ernst

(2009), Vol. 5818, pp. 30-44, HM 2009 : Hybrid Metaheuristics : 6th International Workshop, HM 2009, Udine, Italy, October 16-17, 2009. Proceedings, Udine, Italy, E1-1

conference

Beam-ACO based on stochastic sampling for makespan optimization concerning the TSP with time windows

M López-Ibáñez, C Blum, D Thiruvady, A Ernst, B Meyer

(2009), Vol. 5482, pp. 97-108, Evolutionary computation in combinatorial optimization : 9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009 ; proceedings, Tübingen, Germany, E1-1

conference
2008

Strip packing with hybrid ACO: placement order is learnable

D Thiruvady, B Meyer, A Ernst

(2008), pp. 1207-1213, CEC 2008 : Proceedings of the 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, E1-1

conference
2007

Functional connectivity of the prefrontal cortex in Huntington's disease

D Thiruvady, N Georgiou-Karistianis, G Egan, S Ray, A Sritharan, M Farrow, A Churchyard, P Chua, J Bradshaw, T Brawn, R Cunnington

(2007), Vol. 78, pp. 127-133, Journal of neurology, neurosurgery and psychiatry, London, Eng., C1-1

journal article

Increased cortical recruitment in Huntington's disease using a Simon task

N Georgiou-Karistianis, A Sritharan, M Farrow, R Cunnington, J Stout, J Bradshaw, A Churchyard, T Brawn, P Chua, E Chiu, D Thiruvady, G Egan

(2007), Vol. 45, pp. 1791-1800, Neuropsychologia, Amsterdam, The Netherlands, C1-1

journal article
2004

Mining negative rules using GRD

D Thiruvady, G Webb

(2004), Vol. 3056, pp. 161-165, Advances in knowledge discovery and data mining : 8th Pacific-Asia conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004 : proceedings, Sydney, N.S.W., E1-1

conference

Funded Projects at Deakin

Industry and Other Funding

Land use futures modelling.

Prof Brett Bryan, Dr Michalis Hadjikakou, Dr Asef Nazari, Dr Dhananjay Thiruvady

Monash University t / as ClimateWorks

  • 2021: $250,000
  • 2020: $475,000
  • 2019: $475,000

Machine Learning and Optimisation for Adaptive Traffic Vehicle Routing.

Dr Dhananjay Thiruvady, A/Prof Sutharshan Rajasegarar, Dr Sergey Polyakovskiy

CAT3-1 Premonition.io Pty Ltd

  • 2021: $10,098

Supervisions

No completed student supervisions to report