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 profileResearch 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
Dhananjay Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li
(2024), pp. 1-24, International Journal of Production Research, London, Eng., C1
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, pp. 1-13, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
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
Md Khan, Enayat Moallemi, Asef Nazari, Dhananjay Thiruvady, Brett Bryan
(2023), Vol. 11, Earth's Future, C1
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
M Malerba, J Rowley, P Macreadie, J Frazer, N Wright, N Zaidi, A Nazari, D Thiruvady, D Driscoll
(2023), Vol. 286, Biological Conservation, C1
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
A Gaddam, N Suryadevara, D Thiruvady
(2023), Proceedings of the International Conference on Sensing Technology, ICST, E1
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
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
Blocking Cyclic Job-Shop Scheduling Problems
A Elmi, D Thiruvady, A Ernst
(2022), Vol. 15, pp. 1-23, Algorithms, Basel, Switzerland, C1
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
Applying Artificial Intelligence in Cryptocurrency Markets: A Survey
Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady
(2022), Vol. 15, pp. 1-26, Algorithms, Basel, Switzerland, C1
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
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
The maximum happy induced subgraph problem: Bounds and algorithms
R Lewis, D Thiruvady, K Morgan
(2021), Vol. 126, Computers and Operations Research, C1
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
S Nguyen, D Thiruvady, M Zhang, D Alahakoon
(2021), Vol. PP, IEEE Transactions on Cybernetics, United States, C1
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
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
B Liu, J Yang, L Gao, A Nazari, D Thiruvady
(2021), Vol. 230, Knowledge-Based Systems, C1
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
Handbook of Research on Management and Strategies for Digital Enterprise Transformation
K Sandhu
(2021), Hershey, Pa., A7-1
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
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
D Thiruvady, K Morgan, A Amir, A Ernst
(2020), Vol. 58, pp. 2696-2711, International Journal of Production Research, C1
Tackling the maximum happy vertices problem in large networks
D Thiruvady, R Lewis, K Morgan
(2020), Vol. 18, pp. 507-527, 4OR, C1
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
D Thiruvady, A Nazari, A Aleti
(2020), Vol. 13, Algorithms, C1
Solution merging in matheuristics for resource constrained job scheduling
D Thiruvady, C Blum, A Ernst
(2020), Vol. 13, Algorithms, C1
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
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
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
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
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
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
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
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
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
S Nguyen, D Thiruvady, A Ernst, D Alahakoon
(2019), Vol. 109, pp. 273-287, Computers and operations research, Amsterdam, The Netherlands, C1-1
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
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
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
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
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
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
A Nazari, D Thiruvady, A Aleti, I Moser
(2016), Vol. 67, pp. 1050-1060, Journal of the operational research society, Basingstoke, Eng., C1-1
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
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
D Thiruvady, M Wallace, H Gu, A Schutt
(2014), Vol. 20, pp. 643-676, Journal of heuristics, New York, N.Y., C1-1
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
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
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
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
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
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
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
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
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
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
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
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
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