Welcome to the Circuits & Systems Group Website


The Circuits & Systems Group is located at the School of Electrical and Computer Engineering of the National Technical University of Athens, Greece. It was founded in 2013 by professor Paul-Peter Sotiriadis and as of today it counts more than 30 members, including 6 PostDoc Researchers, 9 Ph.D. candidates and 6 Master Thesis students.

Our group leads in modeling, evaluation and design of integrated and discrete circuits and systems, covering a wide area in the field of electronics. More specifically, our main research directions include but are not limited to: analog and digital IC design, CAD automation tools, sensors' and sensor systems' development, unconventional computing techniques, biomedical systems and instrumentation, and others.



Our News

Paper by ECE-NTUA Ph.D. Candidate V. Alimisis, Diploma Students N. P. Eleftheriou and Savvas Leventikidis and Prof. P. P. Sotiriadis received the Best Paper Award (3rd Place) in the IEEE 35th International Conference on Microelectronics 2023

We are pleased to announce that the paper entitled "An Analog Integrated, Low-Power, Area-Efficient, Gilbert, Modulo-based Classifier with Application to Lung-Cancer Classification" received the Best Paper Award (3rd Place) in the IEEE 35th International Conference on Microelectronics 2023 that was held on 17-20 December 2023 in Abu Dhabi, UAE.

The Award-Winning paper was co-authored by Vassilis Alimisis (Ph.D. Candidate, ECE NTUA), Nikolaos P. Eleftheriou (Diploma Student, ECE NTUA), Savvas Leventikidis (Diploma Student, ECE NTUA) and Paul P. Sotiriadis (ProfessorECE NTUAFellow IEEE).

Short Abstract: This study presents an alternative approach to develop low-power (744nW) analog classifiers capable of efficiently handling multiple input features while maintaining high levels of accuracy and minimizing power consumption. The proposed classifier relies on Voting and Bayes mathematical models, incorporating Gilbert two-signal four-quadrant multipliers and current comparators. The analog classifier is validated through testing with a real-world lung-cancer surgery dataset, achieving an accuracy of 75.45%. It predicts all testset samples of patients suffering from lung-cancer. Additionally, a comparison with related analog classifiers using the same dataset is conducted. The models are trained via a software-based implementation. The proposed architecture is realized using the TSMC 90nm CMOS process and simulated using the Cadence IC Suite.

Paper by ECE-NTUA Ph.D. Candidate V. Alimisis, Diploma Students A. Kamperi and N. P. Eleftheriou and Prof. P. P. Sotiriadis received the Best Runner-Up PhD Symposium Paper Award in the Springer FAIEMA 2023 Conference

We are pleased to announce that the paper entitled "A Low-Power Analog Bell-shaped Classifier based on Parallel-connected Gaussian function circuits" received the Best Runner-Up PhD Symposium Paper Award in the Springer 1st International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications; 25th - 26th September 2023, Athens, Greece.

The Award-Winning paper was co-authored by Vassilis Alimisis (Ph.D candidate, ECE-NTUA), Argyro Kamperi (Diploma Student, ECE-NTUA), Nikolaos P. Eleftheriou (Diploma Student, ECE-NTUA), and Paul P. Sotiriadis (Professor, ECE-NTUA, Fellow IEEE).

ABSTRACT: In this study, a novel approach is presented for developing ultra-low power analog classifiers capable of effectively handling multiple input features while maintaining high levels of accuracy and minimizing power consumption. The proposed methodology is built upon a Voting model that leverages Gaussian likelihood functions. To evaluate the performance of the proposed methodology, a comparison is conducted against the widely used analog Bell-shaped classifiers. Real-life breast cancer dataset is employed for this comparison. The models are trained and the results are processed using the Python programming language. The hardware design and result processing utilize Cadence IC Suite, implementing the TSMC 90 nm CMOS process technology.


Professor of ECE-NTUA Paul Peter Sotiriadis among the top 2% of highly cited scientists in the world

Stanford University and Elsevier have published the ranking of the 2% of the most influential researchers in the world in all scientific disciplines for 2022, retrieving data from the SCOPUS database and using a range of parameters for the harmonization of each scientist's research contribution and influence. As a result, a list of the top scientists from all scientific subjects (as well as those ranked in the top 2% in their main subfield discipline) was compiled.

Twenty-nine (29) Professors from the ECE of the NTUA are included in the lists.

The first list refers to all years analyzed (1788-2022) and includes the following 27 Professors of ECE-NTUA:

Afrati Foto*, Antonopoulos Antonios, Avramopoulos Hercules, Doukas Haris, Fikioris George, Fotakis Dimitris, Georgilakis Pavlos, Hatziargyriou Nikos, Hristoforou E., Kladas Antonios, Kollias Stefanos*, Korres Georgios, Manias Stefanos*, Maragos Petros, Nikita Konstantina, Panagopoulos Athanasios, Papathanassiou Stavros, Papavasiliou Anthony, Papavassiliou Symeon, Psarras John, Sotiriadis Paul, Topalis F., Tsalamengas John*, Tzafestas Spyros (†), Uzunoglu Nikolaos*, Varvarigou Theodora, Vournas Costas*

A second list referring to the year 2022, only, includes the following 16 Professors and 1 EDIP of ECE-NTUA:

Antonopoulos Antonios, Doukas Haris, Fotakis Dimitris, Georgilakis Pavlos, Hatziargyriou Nikos*, Korres Georgios, Kyriakopoulos Grigorios (EDIP), Manias Stefanos*, Maragos Petros, Marinakis Vangelis, Nikita Konstantina, Papathanassiou Stavros, Papavasiliou Anthony, Papavassiliou Symeon, Tzafestas Spyros (†), Voulodimos Athanasios, Vournas Costas*

(Retired/emeritus professors are marked with * and deceased with †)

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Speech of Professor Hari on Autonomous Navigation

On 2nd of June 2023 Professor K. V. S. Hari, from Department of ECE, Indian Institute of Science, Bangalore, presented his research on Experiments in Autonomous Navigation for Unstructured Environments. The event took place at the School of Electrical and Computer Engineering of the National Technical University of Athens. The presentation was followed by a very interesting conversation considering the future of the autonomous navigation and potentional uses. Our Research Team and all the attendees would like to thank and congratulate Professor Hari for his interesting speech and we are looking forward to continuing this interaction in the future. An abstract of his speech and information about the speaker follow below:

ABSTRACT: The emergence of autonomous navigation systems have spurred many innovations in the design of sensing, computing, communication and control systems. The design of autonomous navigation systems in unstructured environments is a challenging problem. For example, in an opencast or open-pit coal mine, large vehicles are driven on muddy roads with no lanes and roadside markers. Such environments pose a unique challenge to the design of autonomous systems. Similarly, urban environments where there is heavy traffic congestion with a large variety of vehicles and associated varied user behavior pose a challenge to designing autonomous navigation systems. In this talk, we will present two case studies. The first case study presents the design of a forward collision avoidance system for large vehicles using only a single webcam. This work was supported by VOLVO. The second case study presents the design of a sensing system to collect data for Indian road traffic and apply deep learning tools for detecting vehicles and predicting their trajectories. This work is supported by WIPRO.

ABOUT THE SPEAKER: K V S Hari is a Professor in the Department of ECE, Indian Institute of Science, Bangalore. He holds a PhD (Systems Science) from U C San Diego, an MTech (Radar and Communication Engineering) from IIT Delhi and a B.E (ECE) from Osmania University College of Engineering, He has been a visiting faculty at Stanford University and Affiliate Professor at KTH- Royal Institute of Technology, Stockholm. His research interests are in Signal Processing and Deep Learning with applications to 5G wireless communications, dual function radar and communication systems, autonomous navigation, neuroscience, and affordable MRI systems.
He is a co-author of the IEEE 802.16 standard on wireless channel models and has conducted drone-ground wireless channel modelling experiments. He is part of the UK-India Future Networks Initiative (UKI-FNI) and currently leads the British Telecom India Research Centre (BTIRC), IISc. He served as the Chair, Standardisation Committee, Telecom Standards Development Society, India.
He was an Editor of EURASIP’s Signal Processingjournal and is currently the Editor-in-Chief (Electrical Sciences) of Sadhana, the journal of the Indian Academy of Sciences published by Springer. He is a Fellow of the Indian National Academy of Engineering, Indian National Science Academy and IEEE. He was on the Board of Governors, IEEE Signal Processing Society as VP-Membership(2020-22). He is the General Co-Chair of ICASSP 2025 scheduled in Hyderabad, India.
More details at http://ece.iisc.ac.in/~hari