People - Dhananjay Thiruvady

About

I am currently an Early Career Fellow at Monash. This position invloves teaching and research.

My involvement in computer science has been quite varied since my honours year at Monash. Intially I worked in data mining and moved to computation neuroscience during my master's work. Since then I have moved to exploring algorithms for real-world combinatorial optimization problems as part of my PhD research. I am currently focusing on extending some of these methods.

Please feel free to contact me regarding teaching or research related matters.

Research

I am currently working on the following problems and methods:

• Project scheduling maximising net present value
• Resource constrained multiple machine job scheduling 
• Parallelizing ant colony optimization and Beam search
  

PhD: Hybrids of Stochastic Metaheuristics and Constraint Programming for Combinatorial Optimization

Algorithms

• Ant colony optimization
• Constraint programming
• Beam search
• Hybrids of the above

Case studies

• Single machine job scheduling with sequence dependent setup times, also known as the asymmetric traveling salesman problem with time windows
  
• Resource constrained mutiple machine job scheduling
• Car sequencing
  

Masters: Modeling Connectivity in the Brain: An Application in Huntington's Disease

Examined differences in connectivity in prefrontal brain regions between Huntington's disease patients and healthy controls over a two year period. We examined structural equation modeling and dynamic causal modeling

Honours: Mining Negative Rules in Large Databases using GRD

Publications

Theses

• Phd thesis

• Masters thesis

• Honours thesis

 

Refereed papers

• Thiruvady D, Wallace M, Gu H, Schutt A. A Lagrangian Relaxation and ACO Hybrid for Resource Constrained Project Scheduling with Discounted Cash Flows, Journal of Heuristics, Submitted.

• Thiruvady D, Singh G, Ernst A, Meyer B. Constraint-based ACO for a Shared Resource Constrained Scheduling Problem, Journal of Production Economics, Accepted.
  

• Thiruvady D, Meyer B, Ernst A. Car Sequencing with Constraint-Based ACO, Genetic and Evolutionary Computational Conference. Accepted, 2011.

• Thiruvady D, Blum C, Ernst A, Meyer B. Hybridizing Beam-ACO with Constraint Programming for Single Machine Job Scheduling. Hybrid Metaheuristics, 2009, 5818:30-44.

• Lopez-Ibanez M, Blum C, Thiruvady D, Ernst A, Meyer B. Beam-ACO based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windows. Evolutionary Combinatorial Optimization, 2009, 5482:97-108.

• Thiruvady D, Meyer B, Ernst A. Strip Packing with Hybrid ACO: Placement Order is Learnable. IEEE Congress on Evolutionary Computation, 2008, 1207-1213.

• Thiruvady D, Georgiou-Karistianis N, Egan G, Ray S, Sritharan A, Farrow M, Churchyard A, Chua P, Bradshaw J, Brawn T-L, Cunnington R. Functional connectivity of the prefrontal cortex in Huntington's disease. Journal of Neurology, Neurosurgery, and Psychiatry, 2007, 78:127-133.

• Georgiou-Karistianis N, Sritharan A, Farrow M, Cunnington R, Stout J, Bradshaw J, Churchyard A, Brawn T, Chua P, Chiu E, Thiruvady D, Egan G. Increased Cortical Recruitment in Huntington's disease using a Simon task. Neuropsychologia, 2007, 45:1791-1800.

• Thiruvady D, Georgiou-Karistianis N, Egan G, Ray S, Sritharan A, Farrow M, Churchyard A, Chua P, Bradshaw J, Brawn T-L, Cunnington R. Reduced Prefrontal Functional Connectivity in Huntington's Disease, Human Brain Mapping, Florence, Italy, 2006.

• Thiruvady D, Webb G. Mining Negative Rules Using GRD. Lecture Notes in Artificial Intelligence, 2004, 3056:161-165.

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