Amleset Kelati
Ph.D. (Tech)
Department of Computing,, Smart Systems amlkel@utu.fi ORCID-tunniste: https://orcid.org/0000-0003-2357-1108 |
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. Including AI/ML Techniques for Quantum Control & Feedback.
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 Quantum Error Correction & Fault Tolerance, 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:
39 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, Hardware-Software Co-design for Quantum Systems
VLSI, HPC; Digital Design, Machine Learning, Digital Signal Processing
- A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid (2019)
- International Journal of Embedded and Real-Time Communication Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - IoT based Appliances Identification Techniques with Fog Computing for e-Health (2019)
- IST-Africa
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Load-shedding techniques for microgrids: A comprehensive review (2019)
- International Journal of Smart Grid and Clean Energy
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Machine Learning for sEMG Facial Feature Characterization (2019)
- Signal Processing: Algorithms, Architectures, Arrangements, and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Smart Meter Load Profiling for e-Health Monitoring System (2019)
- IEEE international conference on smart energy grid engineering
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Wearable in a Cloud (2019) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Kelati, Amleset; Tenhunen, Hannu
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems (2018)
- Proceedings of Conference of Open Innovations Association FRUCT
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Biosignal Monitoring Platform Using Wearable IoT (2018)
- Proceedings of Conference of Open Innovations Association FRUCT
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - CDE for ICT Innovation Through the IoT Based iGrid Project in Tanzania (2018)
- IST-Africa
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)



