Setyo Tri Windras Mara (Windrasmara)
- Researcher in Operational Research, Optimization, and Logistics
- PhD student at The University of New South Wales, Systems Engineering
- Inquiries: s.windras_mara@unsw(dot)edu(dot)au
About Me
A young researcher from Indonesia, currently doing my PhD study (in Systems Engineering) with a full scholarship from The University of New South Wales, Australia. Previously, I also received a full joint-degree Master scholarship from National Taiwan University of Science and Technology and Universitas Gadjah Mada, Indonesia.
Currently, I am affiliated with:
OPSID, a community of young Indonesian researchers in operations research and operations management, as the initiator (with Muchammad Arya Zamal from Institut Teknologi Bandung) and a board member.
IEEE Taskforce on Evolutionary Scheduling and Combinatorial Optimisation, as a member.
Further information: Google Scholar, LinkedIn, GitHub
Education
Ph.D student in Systems Engineering, The University of New South Wales, 2022-now
- Member of Canberra Evolutionary Optimization (EvOpt) groupM.Sc in Industrial Engineering, Universitas Gadjah Mada, 2017-2019
- Selected as the best master degree student of Faculty of Engineering
- Top of the graduation class (4.00 GPA)MBA in Industrial Management, National Taiwan University of Science and Technology, 2018-2019
- Research assistant in Data Science LaboratoryB.Eng in Industrial Engineering, Universitas Gadjah Mada, 2011-2016
Notable Achievements
Scholarship Awardee (Doctoral Degree)
TFS Full Scholarship plus Research Stipend, Research Training Program-based funding by UNSW Canberra @ ADFA, 2022Best Master Degree Student for Faculty of Engineering, Universitas Gadjah Mada
Graduated with a perfect GPA score (4.00/4.00), top of the graduating classBest Paper Award
2019 International Conference in Management Science and Decision Making, Tamkang University, TaiwanScholarship Awardee (Master Degree)
UGM-NTUST Dual Degree Program Full Scholarship, funded by Tahir Foundation, 2018
Technical Skills
Computational Programming
- Julia
- MATLAB
- Python
- RMathematical Modelling
- Gurobipy
- Pyomo
- JuMP
- Lingo
- Commercial solvers (i.e. Gurobi, CPLEX)Optimization Algorithms
- Neighborhood and local search
- Greedy search
- Evolutionary algorithms
- Swarm intelligenceMachine Learning Algorithms
- Clustering
- Classification
- RegressionData Analysis and Visualization
- Ggplot2 (R)
- Statistics (Minitab, SPSS)
- SQL
- Power BIScientific writing
- Systematic literature survey
- Proofreading
Recent News
April 2024 - My submission to present our work on blood delivery optimization has been accepted by OPTIMA-CON 2024. I am also grateful to receive a corresponding travel grant from OPTIMA.
April 2024 - OPSID held our fourth research talk with Nabila Yuraisyah Salsabila (PhD student at Taiwan Tech). Raski presented her recent research project on the blood inventory-routing optimization under uncertainty.
March 2024 - I am happy to join the IEEE Taskforce on Evolutionary Scheduling and Combinatorial Optimisation as a member. Scheduled to present my work on drone-aided electric routing problems in September 2024.
March 2024 - OPSID held our third research talk with Teuku Naraski Zahari (PhD student at Kyoto University). Raski presented his recent research project on the intersection between systems dynamics and sustainable transportation issues.
January 2024 - We at OPSID are currently looking for one or two additional board members to empower our current squad (myself and Muchammad Arya Zamal). Interested candidate can contact us, preferably from operations management areas.
January 2024 - OPSID held our second research talk with Austin Saragih (PhD student at Massachusetts Institute of Technology). Austin presented his recent research project on the optimal information gathering to tackle uncertainties in supply chain designs.
December 2023 - OPSID made its first event this month (December 18th), a sharing session with Dr. Luluk Lusiantoro (Lecturer at Universitas Gadjah Mada, Research Associate at University of Cambridge). Dr. Luluk presented his research on "Predicting circular economy practices of Small-Medium Enterprises (SMEs) in Indonesia: the role of supply chain finance and business survivability"
October 2023 - Me and my colleague, Muchammad Arya Zamal (PhD student at TU Eindhoven, Lecturer at Bandung Institute of Technology), would like to introduce OPSID, a platform for young Indonesian researchers on operations research (OR) and operations management (OM). Our first sharing session event will take place around December 2023.
September 2023 - I presented my research on "Electric Vehicle-Drone Routing Problem with Optional Drone Availability" at the 26th IEEE International Conference on Intelligent Transportation Systems, Bilbao, Spain.
January 2022 - I am honoured to receive a generous scholarship offer from The University of New South Wales (UNSW) and plan to attend UNSW Canberra @ ADFA as a doctoral student in Systems Engineering program under the supervision of Dr. Ruhul Sarker, Dr. Daryl Essam, and Dr. Saber Elsayed starting at February 2022 (Term I).
September 2021 - I am officially not affiliated with the Department of Mechanical and Industrial Engineering UGM. I am planning to pursue further my interest in research by enrolling in a PhD program and continuing my career abroad afterwards.
June 2020 - I just had a three-week mini-classes program on Academic Research for the sophomore, junior, and senior students of DTMI UGM, from May 20 - June 3, 2020.
Research Profile
My research lies on the development of computational intelligence methods to support the decision-making in various domains of wellbeing.
In this regard, my current area of interests include:
Operations research and applied optimization
Evolutionary and local search-based algorithms
Drone-aided and/or electric routing problems
Blood supply chain management
Research Highlights
[SWEVO-2023]
Solving electric vehicle–drone routing problem using memetic algorithm
We introduce a model of EV-drone logistics system with simultaneous coordination between them. An effective memetic algorithm is then proposed to attack the model.
Collaborators: Dr. Ruhul Sarker, Dr. Daryl Essam, Dr. Saber Elsayed (University of New South Wales)
[COR-2022]
A survey of adaptive large neighborhood search algorithms and applications
A systematic literature survey of adaptive large neighborhood search, a metaheuristic framework which has been widely implemented to attack combinatorial optimization problems within the last 15 years.
Collaborators: Dr. Achmad Pratama Rifai, Rachmadi Norcahyo, Luluk Lusiantoro (Universitas Gadjah Mada), Panca Jodiawan (Taiwan Tech)
[ESWA-2022]
Vehicle routing problem with drones considering time windows
We introduce a dual-array solution representation for drone-aided routing problems and highlight the impact of customer time windows.
Collaborators: Dr. Ren-Jieh Kuo, Dr. Shih-Hao Lu, Pei-Yu Lai (Taiwan Tech)
[IEEE-SMC-2021]
Involving motorbikes in blood pickup services: a mathematical modelling perspective
We highlight how "conventional" vehicle modes such as motorbikes can be used to improve the transportation of perishable commodities.
Collaborators: Rafi Naufal Al-Mochtari Pohan, Hans Bastian Wangsa, Dr. Achmad Pratama Rifai, Dr. Nur Mayke Eka Normasari (Universitas Gadjah Mada)