Mr. Ashvinda Iddamalgoda

Assistant Lecturer | Department of Computer Systems Engineering | Faculty of Computing

CAREER SUMMARY

  • An Assistant Lecturer in the Department of Computer Systems Engineering, Faculty of Computing, at the Sri Lanka Institute of Information Technology (SLIIT), with academic and practical teaching experience in computer systems engineering, computer networking, cloud computing, embedded systems, robotics, Internet of Things, and database administration.

    Academic and research interests focus on the development of intelligent hardware–software systems through the integration of artificial intelligence, embedded computing, sensing technologies, cloud platforms, and Internet of Things architectures. Experience also includes system administration, network infrastructure, IoT system development, robotics, seismic monitoring, and technology-enhanced teaching.

    Current research focuses on intelligent seismic simulation and structural testing systems, particularly the development of a high-precision three-axis shaking table incorporating motion control, earthquake-wave simulation, machine learning, sensor-based data acquisition, and cloud-based real-time monitoring.

ACADEMIC QUALIFICATIONS

  • B.Sc. (Hons) in Information Technology, specializing in Computer Systems and Network Engineering, Sri Lanka Institute of Information Technology (SLIIT), Sri Lanka
  • Master of Philosophy in Information Technology, Sri Lanka Institute of Information Technology (SLIIT) — Reading
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • NSE 3 Network Security Associate

RESEARCH INTERESTS AND MEMBERSHIP

Research Interests

  • Artificial Intelligence and Machine Learning
  • Robotics and Autonomous Systems
  • Internet of Things
  • Embedded Systems
  • Cloud Computing and Edge Computing
  • Intelligent Monitoring and Predictive Analytics
  • Seismic Data Analysis and Earthquake Engineering Applications
  • Earthquake-Wave Simulation
  • Multi-Axis Shaking-Table Systems
  • Structural Testing and Structural Health Monitoring
  • Motion-Control Systems
  • Sensor Networks and Real-Time Data Acquisition
  • Predictive Maintenance
  • Computer Networks and Network Automation
  • Remote Sensing and Geoscience Applications

Memberships

  • Graduate Student Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, IEEE Geoscience and Remote Sensing Society (IEEE GRSS)

RESEARCH CLUSTERS

Autonomous Intelligent Machines and Systems (AIMS)

Pioneering research in intelligent systems, robotics, and IoT to develop autonomous solutions for industrial and societal challenges. Focus areas include drone technology, smart systems, and real-time embedded applications.

ONGOING RESEARCH

  • Research is currently focused on the development of intelligent IoT, artificial intelligence, robotics, and embedded-system solutions. Current work includes the development and enhancement of a high-precision three-axis shaking-table system for earthquake simulation and structural dynamics research, incorporating motion control, seismic data acquisition, machine learning, and cloud-based monitoring.
  • Additional research activities include low-cost, high-precision vibration analysis for structural health monitoring and seismic data acquisition, as well as intelligent elephant-intrusion detection using seismic and passive infrared sensors, machine learning, LoRaWAN communication, and cloud-based alerting systems.

PUBLICATIONS

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Contact

ashvinda.i@sliit.lk 0766790960
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