Amleset Kelati
Ph.D. (Tech)
Department of Computing,, Smart Systems amlkel@utu.fi |
IoT, Security for Communications System, Machine Learning ,Smart gird , System-on-Chip, DSP, embedded system and Embedded HW security, Wireless communications systems, RFIC / ASIC / FPGA design, Verification and Integration,
Dr. Amleset Kelati is a senior researcher in the Department of Computing at the University of Turku, specializing in ASIC and FPGA design with over 20 years of industry and academic experience. Her expertise spans top-down design methodologies, tool integration, and automation of design flows, with proficiency in VLSI design, Verilog, SystemVerilog, VHDL, and RTL verification.
She holds a Ph.D. in ICT with a focus on Electronic Systems (2021) from KTH, along with multiple M.Sc. degrees in Electrical and Electronics Engineering from KTH, Chalmers, and UCLV. Her research interests include ULP wireless embedded processors, special-purpose computing, sensor integration, and hardware implementation of machine learning algorithms.
Dr. Kelati has authored over 40 scientific publications and serves as a Senior IEEE volunteer and a key contributor to IEEE Signal Processing Standards.
My postdoctoral research at the Finnish Centre for Astronomy with ESO (FINCA) focused on developing a wideband full-Stokes spectrometer using FPGA technology within the CASPER framework. The goal is to enhance the performance and cost-efficiency of high-bandwidth data processing for large-scale astronomical observations.
My Ph.D. research, conducted in the Department of Computing centered on designing an IoT-based platform for e-health monitoring. It involved creating a system architecture that integrates wearable devices and smart grid technologies to support smart health and ambient assisted living, with a focus on reliability and practical implementation of machine learning techniques to accelerate and optimize FPGA compilation time, enhancing the overall development efficiency of the system.
Publications:
Overview of publication records
No. of publications:
38 published papers, 3 theses, 6 Journals, 3 book chapters
(21 published as first author)
Total Number of citations h-index
221
https://scholar.google.com/citations?hl=en&user=VqRqmlcAAAAJ&view_op=list_works&sortby=pubdate
Embedded Hardware Design in ASIC and FPGA, HDL
VLSI, HPC; Digital Design, Machine Learning, Digital Signal Processing
- Integrating Smart Meter Load Profiling for Enhanced Data Insights and Patient Care (2024) A Comprehensive Overview of Telemedicine Kelati, Amleset; Plosila, Juha; Tenhunen, Hannu
- A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid (2022) Research Anthology on Smart Grid and Microgrid Development Rwegasira Diana Severine, Dhaou Imed Saad Ben, Kondoro Aron, Anagnostou Anastasia, Kelati Amleset, Naiman Shililiandumi, Taylor Simon J.E., Mvungi Nerey H., Tenhunen Hannu
- Real-Time Classification of Pain Level Using Zygomaticus and Corrugator EMG Features (2022)
- Electronics
- Data-driven Implementations for Enhanced Healthcare Internet-of-Things Systems (2021) Kelati Amselet
- IoT for Home Energy Management (HEM) Using FPGA (2021)
- IEEE international conference on smart energy grid engineering
- Challenge Driven Education in using Emerging Technology to Narrow the Gap between the Ageing Population and the Health Caregivers (2020)
- EDULEARN proceedings
- Implementation of K-nearest Neighbor on Field Programmable Gate Arrays for Appliance Classification (2020)
- IEEE international conference on smart energy grid engineering
- Implementation of non-intrusive appliances load monitoring (NIALM) on k-nearest neighbors (k-NN) classifier (2020)
- AIMS Electronics and Electrical Engineering
- Smart Meter Design for e-Health monitoring on the Smart Grid System (2020) 8th International Workshop on Integration of Solar into Power Systems Amleset Kelati , Hannu Tenhunen
- A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid (2019)
- International Journal of Embedded and Real-Time Communication Systems
- IoT based Appliances Identification Techniques with Fog Computing for e-Health (2019)
- IST-Africa
- Load-shedding techniques for microgrids: A comprehensive review (2019)
- International Journal of Smart Grid and Clean Energy
- Machine Learning for sEMG Facial Feature Characterization (2019)
- Signal Processing: Algorithms, Architectures, Arrangements, and Applications
- Smart Meter Load Profiling for e-Health Monitoring System (2019)
- IEEE international conference on smart energy grid engineering
- A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems (2018)
- Proceedings of Conference of Open Innovations Association FRUCT
- A Simulation Model for the Analysis of Security Attacks in Advanced Metering Infrastructure (2018) 2018 IEEE PES/IAS PowerAfrica Aron Kondoro, Imed Ben Dhaou, Diana Rwegasira, Amleset Kelati, Hannu Tenhunen, Nerey Mvungi
- CDE for ICT Innovation Through the IoT Based iGrid Project in Tanzania (2018)
- IST-Africa
- Challenges for Teaching and Learning Activities (TLA) at Engineering Education (2018)
- INTED proceedings
- A framework for load shedding and demand response in DC microgrid using multi agent system (2017) 2017 21st Conference of Open Innovations Association (FRUCT 2017) Diana Rwegasira, Imed Ben Dhaou, Anastasia Anagnostou, Aron Kondoro, Naiman Shililiandumi, Amleset Kelati, Simon J.E. Taylor, Nerey Mvungi, Hannu Tenhunen
- A multi-agent system for solar driven DC microgrid (2017) 2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC) Diana Rwegasira, Imed Ben Dhaou, Aron Kondoro, Naiman Shililiandumi, Amleset Kelati, Nerey Mvungi, Hannu Tenhunen
