ESRs | APROPOS | Tampere Universities

Piotr Kluska

ESR 1
IBM Research - Universitat Politecnica de Valencia

https://orcid.org/0000-0003-1775-1460

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About me

Piotr Kluska was born in Poland, in 1993. He received the B.Sc. In computer science from the Wroclaw University of Science and Technology, Poland in 2017, the M.Sc. degree in computer science from the Wroclaw University of Science and Technology in 2019. From 2015 to 2019, he was with intive, Wrocław, Poland. From 2019 to 2020, he was with AXA XL, Wrocław, Poland. From 2020 to 2021, he was with Outra, London, UK. He is currently a pre-doctoral researcher at IBM Research, Zürich, Switzerland, enrolled at Universitat Politecnica de Valencia, Spain under supervision of Professor Enrique S. Quintana-Orti within APROPOS ITN.

Research Direction:

Efficient deep learning inference models for low-energy applications

Interests:

Deep Learning, Computer Vision, Optimization of deep learning models

Joined APROPOS:

September 2021

Sudam Wasala

ESR 2
University of Amsterdam - Thales Netherlands

https://orcid.org/0000-0001-8464-0424

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About me

Sudam Wasala was born on May 18, 1993 in Nuwara Eliya, Sri Lanka. He received his Bachelor of Engineering (B.Eng.) degree, in the field of Computer Systems Engineering, from the Sri Lanka Institute of Information Technology, Malabe, Sri Lanka in 2016. He completed his Master of Science (M.Sc.) degree, in the field of Computer Science, at the University of Siegen, Siegen, Germany in 2021.

Research Direction:

Approximate Computing Techniques for Energy-Efficient and Fault- Tolerant Embedded Systems

Interests:

Approximate computing, Fault-tolerant systems and System modelling and simulation.

Joined APROPOS:

May 2021

Seyed Ahmad Mirsalari

ESR 3
University of Bologna - IBM Research

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About me

Seyed Ahmad Mirsalari was born on Feb. 14th, 1994 in Ramhormoz city, Khuzestan province, Iran. He received his B.Sc. in Computer engineering from the Isfahan University of Technology in 2016, and his M.Sc. in Computer Architecture from the University of Tehran in 2020. His research interests include Machine Learning, Embedded Systems, and Neural Networks Hardware Accelerator Design. In recent years, He has worked on energy-efficient accelerators for deep neural networks. More specifically, his research was to develop a framework to use approximate computing to improve the efficiency of deep neural networks on FPGA.

Research Direction:

Machine Learning for Approximate Computing

Interests:

Machine Learning, Embedded Systems, and Approximate Computing

Joined APROPOS:

February 2022

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Dewant Katare

ESR 4
Delft University of Technology - Telefónica

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About me

Dewant Katare have received B.Sc (July 2016) in Electronics Information Engineering from Saxion University of Applied Science, Netherlands and M.S. (December 2019) in Electrical & Computer Engineering from Purdue University, USA with a thesis dedicated to Deep Learning Applications on Autonomous Vehicles using Embedded Platform. The thesis explored applications related to perception using sensors data and development of model for real-time deployment for level 3 autonomy. During this period I was also member of IoT & Embedded systems Lab and have worked on projects related to Industrial internet of Things (IIoT) and Wireless communication protocols with implementation of data compression on dedicated hardware.

Interests:

Autonomous Driving, Embedded Systems, Edge Intelligence, Vehicular Communication, Sensor Fusion

Research Direction:

Approximation at the edge for automated driving

Joined APROPOS:

June 2021

Saba Yousefzadeh

ESR 5
Royal Institute of Technology (KTH)

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About me

Saba Yousefzadeh received a Bachelor’s degree in electronic engineering from Iran University of Science and Technology, Iran, in 2017. She received her Master’s degree in digital systems from the University of Tehran, Iran, in 2021. Currently, she is a Ph.D. student at KTH, Sweden. Her research interest includes design automation and energy-efficient computing.

Interests:

Energy-efficient computing, Neuromorphic computing, Machine learning, High level synthesis

Research Direction:

Industrial and Scientific Applications for benchmarking approximate computing strategies

Joined APROPOS:

October 2021

Ali Piri

ESR 6
Ecole Centrale de Lyon - Centro Regionale Information Communication Technology scrl

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About me

Ali Piri received my MSc degree in Computer Architecture from the University of Tehran, Iran, in 2019. He is currently a Ph.D. researcher at the Ecole Centrale de Lyon, Institute of Nanotechnology, France.

Research Direction:

Design Space Exploration for Accuracy-aware Computing

Interests:

Approximate ComputingEmbedded System DesignCircuit and System DesignVerificationVLSI Design

Joined APROPOS:

September 2021

Sepide Saeedi

ESR 7
Politecnico di Torino - Arduino

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Sepide Saeedi received the MSc degree in Computer Architecture from the University of Tehran, Iran, in 2019. She is currently a Ph.D. researcher at the Polytechnic University of Turin, Italy.

Research Direction:

Fast and Accurate Prediction of the Impact of Approximate Operators on a Complex Computation

Interests:

Approximate Computing, Embedded System Design, High-Performance Computing, Neural Networks

Joined APROPOS:

November 2021

Lev Denisov

ESR 8
Politecnico di Milano - IBT Systems

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About me

Lev Denisov was born in Udomlya, Russia, in 1992. In 2014 he received the Specialist degree in the field of Information Technologies in Design from Saint-Petersburg State University of Industrial Technologies and Design, Saint-Petersburg, Russia. In 2019 he received his Erasmus Mundus M.Sc. joint degree in the field of Big Data Management and Analytics (BDMA) from Université Libre de Bruxelles (ULB) in Brussels, Belgium, Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain, and Technische Universität Berlin (TUB) in Berlin, Germany. In 2021 he joined Politecnico di Milano (POLIMI) in Milan, Italy to continue his study for Ph.D in Computer Science.

Research Direction:

Compiler Technologies for Approximate Computing

Interests:

Compilers, data engineering, big data, software engineering

Joined APROPOS:

October 2021

Jie Lei

ESR 9
Universitat Politecnica de Valencia - IBM

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About me

Jie Lei received his MSc in Embedded Systems and IoT from Newcastle University, UK. He previously work as a Research Assistant within the microsystems Research Group, Newcastle University, UK (2019 – 2021). He is proficient in embedded hardware/software co-design, Low power Edge AI.

Research Direction:

Transprecision Algorithms, Software Tools and FPGA Prototypes for Graph Analytics

Interests:

Logic-based AI, Voice Recognition on the Low Power embedded system, Design space exploration of AI systems, FPGA accelerator design

Joined APROPOS:

September 2021

Hans Jakob Damsgaard

ESR 10
Tampere University - ISW

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About me

Hans Jakob Damsgaard received the BSc degree in electrical engineering in 2019 and the MSc degree in computer science and engineering in 2021 as part of the Honours programme at the Technical University of Denmark, DTU.

Research Direction:

Reconfigurable Approximating Accelerators for Secure Edge Computing

Interests:

Approximate hardware accelerators for neural networks, Networks-on-chip, Computer architecture

Joined APROPOS:

August 2021

Antoine Grenier

ESR 11
Tampere University - EXAFORE

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About me

Antoine Grenier received its M.E. in Geomatics from the Ecole Supèrieure des Géomètres et Topographes (France) in 2019. He then worked at the European Space Agency (Netherlands) in the Galileo System Engineering section from 2019 to 2021 as a Young Graduate Trainee.

Research Direction:

Approximation techniques for low-cost GNSS receivers

Interests:

Precise navigation, GNSS, Sensor fusion, Low-cost systems

Joined APROPOS:

October 2021

Zain Taufique

ESR 12
University of Turku - Minima

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About me

Zain Taufique has received his MS degree in Electronics and Embedded Systems from Lahore University of Management and Sciences (LUMS) in 2020. He is currently pursuing his Ph.D. degree with University of Turku, Finland. His research interest include bio-medical wearable devices, low power chip designs, FPGA accelerators, high level synthesis tools, energy efficient IoT, and AI based hardware architectures.

Research Direction:

HW/SW Co-design for Approximating Machine Learning on Resource Contained Devices

Interests:

Low Power Wearable Designs, FPGA based hardware reconfiguration, Approximate Computing on IoT devices, Deep Learning on Hardware applications, Machine Learning based Autonomous Applications

Joined APROPOS:

December 2021

Salar Shakibhamedan

ESR 13
TU Wien - TTTech

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About me

Salar Shakibhamedan was born in Tehran, Iran in 1992. He received the B.Sc. Degree in electrical engineering from the K. N. Toosi University of Technology, Tehran, Iran, in 2015 and the M.Sc. Degree in electrical engineering, focused on multimodal signal processing from the same university, in 2018. During his studies, he explored the field of machine learning and found it as one his interests in addition to digital signal processing. He was a machine learning/digital signal processing engineer at the PART AI research center from 2020 to 2021, working on different large-scale AI-based projects and services. Moreover he worked as research assistant on computer vision projects and also was teaching assistant for digital signal processing, advanced digital signal processing and digital image processing courses.

Research Direction:

Approximate Signal Analysis in Smart Sensors

Interests:

Multimodal Signal Processing, Machine Learning, Deep Learning and AI, Embedded Systems, Communication Systems

Joined APROPOS:

July 2021

Tiago Troccoli

ESR 14
WIREPAS - Tampere University

https://orcid.org/0000-0002-2954-0989

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About me

Tiago Troccoli received BSc. and MSc. in Computer Science at the University of São Paulo and the University of Campinas in Brazil, respectively. He is currently an Early Stage Researcher responsible for pioneering the novel generation of indoor localization systems based on the direction of arrival (DOA). That research project comprises overcoming the challenges of implementing complex numerical methods in Internet of Things networks composed of constrained embedded systems. It involves a collaborative effort between the industry (Wirepas) and academia (Tampere University) which is supported by the European Union’s Horizon 2020 program through the Marie Skłodowska-Curie grant agreement.

Research Direction:

Indoor positioning system in a wireless mesh network for sensors and other applications

Interests:

Embedded Systems; Firmware Implementation; Numerical Computing; Sensor Signal Processing

Joined APROPOS:

September 2021

Georgios Chatzitsompanis

ESR 15
Queen’s University Belfast - XILINX

https://orcid.org/0000-0002-3358-7181

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About me

Georgios Chatzitsompanis received his Meng, 5-year diploma BSc-MSc equivalent at Electrical Engineering from National Technical University of Athens in 2020. He is currently working toward my PhD degree in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University of Belfast.

Research Direction:

Dynamic Data-dependent Precision Scaling for Energy-Scalable Neural- Network and Security Applications

Interests:

Arithmetic Circuits, Digital System Design, Machine Learning Algorithms, IC Design

Joined APROPOS:

June 2021

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