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,
Amleset Kealti (PH.D Tech), Postdoc, at the Departmennt of Computing, Electronics and smart system lab at the University of Turku, She is a senior hardware design engineer with over 20 years of experience. During this time, she has worked on numerous ASICs /FPGA IP developed and implemented top-down ASIC design flows for a number of companies. Her specialty is design tool integration and design tool flow automation by developing and integrating top-down design flows, he and has employed top-down design methodology for over 15 years and is proficient in VLSI deisgn, Verilog, System Verilog, and VHDL, RTL veriication, GLS and synthesis.
Dr. Amleset has graduated with PhD degree in Information and Communication Technology (ICT), Electronics systems (2021), and MSc degree with Electrical Engineer (2005), from Royal Institute of Technology (KTH), Stockholm, Sweden, MSc. in Digital communication systems Technology at Chalmers university technology, (2001), Chalmers university of technology, Gothenburg, Sweden, and received Master's degree from UCLV 1986 in Electronics Engineering. Her research interests is Ultra-low power (ULP) wireless networked embedded processor for sensing systems, and processor for special purpose computing engines and sensor. Her research also includes ML algorithm HW implementation and design of multi-cores processors, GPUs, FPGAs. She is author and coauthors of 35 publications, and serves as a volunteer as IEEE officers.
My postdoctoral research is in department of Astronomy, Finnish Centre for Astronomy with ESO. Her research focus is on implementation of wideband full-stokes spectrometer in FPGA /Casper "Collaboration for Astronomy Signal Processing and Electronic Research. The implementation is needed for processing of large amount of data communication with high bandwith of the spectromrnter with cost performance.
My PHD project belong to Department of Computing at smart systems unit ( IoT4Health). The main focus of the research is to develop architecture for Internet of Things (IoT) platform that can be used for monitoring e health by wearable’s and by Smart grid technology. The tass is to develop the architecture and prototype but also design and implementations of reliable system for smat health and ambient assisting living.
Publications:
Overview of publication records
No. of publications:
35 published papers, 3 Thesis, 5 Journals, 1 book chapter
(18 published as first author)
Total Number of citations h-index
100 8
https://scholar.google.com/citations?hl=en&user=VqRqmlcAAAAJ&view_op=list_works&sortby=pubdate
Embedded Hardware Design in ASIC and FPGA, HDL, VHDL, Verilog , System Verilog
Digital Design, Machine Learning, Digital Signal Processing
- 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
(Muu (O2)) - Real-Time Classification of Pain Level Using Zygomaticus and Corrugator EMG Features (2022)
- Electronics
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2)) - Data-driven Implementations for Enhanced Healthcare Internet-of-Things Systems (2021) Kelati Amselet
(Artikkeliväitöskirja (G5)) - IoT for Home Energy Management (HEM) Using FPGA (2021)
- IEEE international conference on smart energy grid engineering
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Challenge Driven Education in using Emerging Technology to Narrow the Gap between the Ageing Population and the Health Caregivers (2020)
- EDULEARN proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Implementation of K-nearest Neighbor on Field Programmable Gate Arrays for Appliance Classification (2020)
- IEEE international conference on smart energy grid engineering
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Implementation of non-intrusive appliances load monitoring (NIALM) on k-nearest neighbors (k-NN) classifier (2020)
- AIMS Electronics and Electrical Engineering
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - 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
(Muu (O2)) - A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid (2019)
- International Journal of Embedded and Real-Time Communication Systems
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - IoT based Appliances Identification Techniques with Fog Computing for e-Health (2019)
- IST-Africa
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Load-shedding techniques for microgrids: A comprehensive review (2019)
- International Journal of Smart Grid and Clean Energy
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Machine Learning for sEMG Facial Feature Characterization (2019)
- Signal Processing: Algorithms, Architectures, Arrangements, and Applications
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Smart Meter Load Profiling for e-Health Monitoring System (2019)
- IEEE international conference on smart energy grid engineering
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Wearable in a Cloud (2019) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Amleset Kelati, Hannu Tenhunen
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems (2018)
- Proceedings of Conference of Open Innovations Association FRUCT
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - 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
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Biosignal Monitoring Platform Using Wearable IoT (2018)
- Proceedings of Conference of Open Innovations Association FRUCT
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - CDE for ICT Innovation Through the IoT Based iGrid Project in Tanzania (2018)
- IST-Africa
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Challenges for Teaching and Learning Activities (TLA) at Engineering Education (2018)
- INTED proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - 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
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))