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Assistant Professor of General Engineering

Dr Wahyu Caesarendra
Assistant Professor of General Engineering

Office

Staff Room 4, C1-5, First Floor, Block C, Integrated Sciences Building

Email

wahyu.caesarendra@ubd.edu.bn

Education/Professional Qualifications

  • PhD in Mechanical Engineering, University of Wollongong, Australia (2015)
  • MEng (Hons) in Mechanical Design Engineering, Pukyong National University, South Korea (2010)
  • BEng (Hons) in Mechanical Engineering, Diponegoro University (2005)

Teaching Areas

Engineering Design 2; Engineering Design 6; Product Design Engineering; System Simulation and Decision Support; Product Design for Manufacturing and Assembly; Mechatronics; Research Methodology and Ethics in Engineering

Current Research Activities

  • Deep learning application for belt grinding tool wear prediction and surface quality measurement in abrasive manufacturing processes
  • A study of bat flapping wing kinematics and mechatronics for bat robot design and modeling
  • Deep learning application for ECG signals and scoliosis x-ray images
  • Sensors and internet of thing (IoT) application for thermal comfort and energy efficiency buildings
  • Development of biomaterial for biomedical and bone tissue regeneration application

Recent Publications

Future Projects

Research Profile (UBD expert): https://expert.ubd.edu.bn/wahyu.caesarendra
  • The synthesis of nanoscale hydroxyapatite from natural clamshell using optimized sonochemical method for biomedical and bone tissue regeneration application
  • Development of building models with vertical greenery systems for the thermal comfort and energy efficient buildings
  • The synthesis of nanoscale hydroxyapatite from natural clamshell using optimized sonochemical method for biomedical and bone tissue regeneration application
  • Non-invasive ECG for computerized QT-corrected (QTc) assessment with a risk of Torsade de Pointes based-on deep learning algorithm
  • Study on the dynamic characteristics of Brunei’s bridges for the purpose of health condition monitoring and future maintenance
  • Real-time surface quality monitoring for adaptive manufacturing process parameters with embedded deep learning method

Research Interests

  • Vibration, acoustic emission and biomedical signal processing
  • Vibration condition monitoring, feature extraction, intelligent fault diagnosis and prognosis
  • Pattern recognition, machine learning and deep learning
  • Mechatronics, biomechatronics, robotics, instrumentation and control system
  • Product design, product development and manufacturing