Martin Andraud, personal statement 10th of October 1988, Clermont-Ferrand, France | Nationality: French Current address: Kurjenkellonkuja 1 E43, 00940 , +358503227094 [email protected]

Researcher ID: X-7681-2018

MOST RECENT DEGREES COMPLETED

BACKGROUND Ph.D. degree in micro and nano electronics – Grenoble-Alpes University, TIMA 2016 Laboratory (France) (current) Double diploma: master of science and engineering school diploma, respectively Assistant 2012 from Strasbourg University (France) and Telecom Physics Strasbourg engineering

professor school, specialty micro and nano electronics.

Aalto University CURRENT POSITION

(2016-2019) Since Assistant professor, Department of Electronics and nano engineering Post-doctoral Sept. 2019 (, , Finland) researcher

KU Leuven - PREVIOUS WORK EXPERIENCE TU Eindhoven

Jan. 2019 to Post-doctoral researcher, in the context of the NORMA project (industrial Selected papers: Sept. 2019 collaboration with ON-semiconductor), ESAT-MICAS group (KU Leuven, Belgium)

JSSC 2019 Post-doctoral researcher, in the context of the H2020 FET-open European project ITC2018 Jan. 2016 to PHOENIX, position shared between ESAT-MICAS group (KU Leuven, Belgium) and JETCAS 2018 Dec. 2018 MSM group (TU Eindhoven, The Netherlands) SSCL 2018

Oct. 2012 Ph.D. student – dissertation subject: “Solutions for the self-adaptation of wireless (2012-2015) systems”. Advisors: E. Simeu and H.-G. Stratigopoulos To Dec. 2015 PhD Student TIMA Laboratory, RMS team (Grenoble Alpes University, France)

TIMA Grenoble Feb. 2012 to Research assistant (in internship) CEA-LETI (Grenoble, France)

Sept. 2012 Knowledge: low-power analog circuit design, energy-harvesting devices Selected papers: TCAS-I 2016 SUPERVISION AND LEADERSHIP EXPERIENCE DAC 2014

PhD student supervision • Kazybek Adam, “In Memory Computing architecture for fully-analog on-chip machine learning accelerators” (Doctoral program in Electrical Engineering, Aalto ELE). Starting date: Oct. 2020 SUPERVISION • Karthekeyan Periasamy, “Custom hardware accelerators for on-chip probabilistic machine learning” (Doctoral program in Electrical Engineering, Aalto ELE). Starting date: April 2021 Currently • Jelin Leslin, “Probabilistic Machine Learning Hardware Architectures towards Self Learning supervisor of 4 Edge AI”, (Doctoral program in Electrical Engineering, Aalto ELE). Starting date: May 2021 PhD students • Ahmed Mohey “Integrated Circuit (IC) Architectures for Novel Time-Based Sensor Interfaces”, Doctoral study rights pending Currently advisor of 1 PhD student PhD student advisor • Omar Numan, “Design of analog and analog-mixed-signal integrated-circuits for analog in- memory computing for AI applications.” (Doctoral program in Electrical Engineering, Aalto ELE Supervision of 3 Supervisor Prof. Kari Halonen). Starting date: November 2020 Master students

Master student supervision

• 2021, Michèle Le, “Evaluating the hardware integration of Sum-product Networks for FUNDING & probabilistic Edge AI” (Master thesis, University of Strasbourg, work carried out at Aalto ELE) PROJECTS • 2020, Alice Bellhaüser, “Self-Calibration of RF/Analog Circuits based on Probabilistic Machine- Learning” (Master thesis, University of Strasbourg, work carried out at Aalto ELE) 2020-2024 • 2018, D. Rivera “Efficient on-chip machine learning applied to self-learning analog and mixed Academy of signal circuits” master thesis, Madrid University (carried out in KU Leuven) Finland (590k€) Other • 2015-2019, Phoenix project; I have been responsible of hardware integration in the EU project PiCo (Nokia) Phoenix, which involved me in following closely and advising the work of 4 PhD students.

TEACHING FUNDING AND RESEARCH PROJECTS

Acquired academic funding Aalto • 2020-2024, WHISTLE, PI (590k€): “When integrated systems gain life experience: towards self- University - 7 learning circuits with resource-efficient embedded artificial intelligence” (WHISTLE), Academy of ects bachelor Finland project grant number 332218 course Industrial collaboration

• 2021-2022, co-PI (Murata Oy, company funding): Digital-intensive IC sensor interface for Exercise frequency-modulated gyroscopes (DIFFER) sessions, • 2019-2022, Collaborator (Nokia, Business Finland): Processing in contact (PiCo), “High Density, projects, Ultra Low Power Computing Element”. analog and digital circuit TEACHING RESPONSIBILITIES AND EXPERIENCE

design Aalto University • Since 2020, co-teacher of a 7-ECTS course “Electronic Circuits”, Digital Systems Design international bachelor. TALKS & • Since 2020, Responsible for the bachelor thesis and seminar courses, Digital Systems Design bachelor

Workshops co- EXPERIENCE OF ORGANIZING SCIENTIFIC MEETINGS organization ITC 2018 Workshop (co-)organization GECCO 2017 • Vice program chair of the 1st workshop of AI hardware: test reliability and security (AI-TREATS), collocated with the European Test Symposium (ETS) 2020 (postponed to 2021) • Reviewing Vice program Chair of the “Test and Validation of High-Speed Analog Circuits” TVHSAC workshop, held with the IEEE International Test Conference, 2018. activities • Co-organization of the workshop “Exploration of inaccessible environments through AICAS hardware/software co-evolution”, the Genetic and Evolutionary Computation Conference, July TCAS-I 2017. JETTA Reviewing activities ISCAS

• Review Committee membership: o Artificial Intelligence Circuits and Systems conference (AICAS), since 2019 • Other reviews: • Conferences: o International Symposium on Circuits And Systems (ISCAS) • Journals: o Transactions on circuits and systems-I (TCAS-1) o Journal of Electronic Testing (JETTA) o IEEE Design & Test PUBLICATION LIST

Published peer-reviewed journals

J6 - Mahmood, N.H., Böcker, S., Moerman, I. et al. Machine type communications: key drivers and enablers towards the 6G era. J Wireless Com Network 2021, 134, 2021.

J5 - N. Xama, M. Andraud, J. Gomez, B. Esen, W. Dobbelaere, R. Vanhooren, A. Coyette, G. Gielen, “Machine Learning-Based Defect Coverage Boosting of Analog Circuits under Measurement Variations”, submitted to ACM Transactions on Design Automation of Electronic Systems (TODAES), 2020.

J4 - H. Xin, M. Andraud, P.G.M. Baltus, E. Cantatore, P.J.H. Harpe, “A 0.1nW-1μW Energy-Efficient All-Dynamic Versatile Capacitance- to-Digital Converter”, IEEE Journal of Solid-State Circuits (JSSC), February 2019.

J3 - K. Goetschalckx, B. Moons, S. Lauwereins, M. Andraud, M. Verhelst, “Optimal Hierarchical Cascaded Processing”, IEEE Journal of Emerging Topics for Circuits and Systems (JETCAS), March 2018.

J2 – H. Xin, M. Andraud, P.G.M. Baltus, E. Cantatore, P.J.H. Harpe, “A 174pW-488.3nW 1S/s-100kS/s All-Dynamic Resistive Temperature Sensor with Speed/Resolution/Resistance Adaptability”, IEEE Solid-State Circuit Letters (SSCL), vol. 1 No. 3, pp. 70-73, 2018.

J1 - M. Andraud, H.-G. Stratigopoulos, and E. Simeu, “One-Shot Non-Intrusive Calibration Against Process Variations for Analog/RF Circuits” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, No 11, pp. 2022—2035, 2016.

Published or accepted peer reviewed international conferences

C13 - N. Xama, J. Raymaekers, M. Andraud, J. Gomez, W. Dobbelaere, R. Vanhooren, A. Coyette, G. Gielen, “Avoiding Mixed-Signal Field Returns by Outlier Detection of Hard-to-Detect Defects based on Multivariate Statistics”, IEEE European Test Symposium (ETS), May 2020.

C12 - H. Xin, M. Andraud, P.G.M. Baltus, E. Cantatore, P.J.H. Harpe, “A 0.34-571nW All-Dynamic Versatile Sensor Interface for Simultaneous Temperature, Capacitance, and Resistance Sensing”, European Solid-State Circuit Conference (ESSCIRC), September 2019.

C11 - M. Andraud, L. Galindez, Y. Lu, Y. Makris, M. Verhelst, “On the use of Bayesian Networks for resource efficient self-calibration of analog/RF ICs”, International Test Conference (ITC), October 2018.

C10 - H. Xin, M. Andraud, P.G.M. Baltus, E. Cantatore, P.J.H. Harpe, “A 0.1nW-1µW All-dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability” European Solid-State Circuit Conference (ESSCIRC), September 2018.

C9 - J. De Roose, H. Xin, M. Andraud, P. Harpe, M. Verhelst, “Scalable and self-adaptive sense-and-compress for sub-µWatt always- on recording”, European Solid-State Circuit Conference (ESSCIRC), September 2018.

C8 – M. Andraud, M. Verhelst, “From On-chip Self-Healing to Self-Adaptivity in Analog/RF ICs: Challenges and Opportunities”, International On-Line Testing Symposium (IOLTS), July 2018.

C7 -M. Andraud, A. Hallawa, J. De Roose, E. Cantatore, G. Ascheid, M. Verhelst, “Evolving Hardware Instinctive Behaviors in Resource-scarce Agent Swarms Exploring Hard-to-reach Environments”, Genetic and Evolutionary Computation Conference (GECCO), July 2018.

C6 - A. Hallawa, J. De Roose, M. Andraud, M. Verhelst, G. Ascheid, “Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents”, in Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp 1727—1734, July 2017.

C5 - M. Andraud, G. Berkol, J. De Roose, S. Gannavarapu, H. Xin, E. Cantatore, P.J.A. Harpe, Pieter, M.Verhelst, P.G.M. Baltus, “Exploring the unknown through successive generations of low power and low resource versatile agents”, in Proc. of Design and Automation and Test in Europe (DATE) conference, Lausanne, Switzerland, March 2017.

C4 - M. Andraud, A. Deluthault, M. Dieng, F. Azais, S. Bernard, P. Cauvet, M. Comte, T. Kervaon, V. Kerzerho, S. Mir, P.-H. Pugliesi- Conti, M. Renovell, F. Soulier, E. Simeu, and H.-G. Stratigopoulos, “Solutions for the self-adaptation of communicating systems in operation,” in Proc. of International On-Line Testing Symposuim IOLTS, July 2014, pp. 234–239.

C3 - M. Andraud, H.-G. Stratigopoulos, and E. Simeu, “One-shot calibration of RF circuits based on non-intrusive sensors,” in Proc. of 51th Design Automation Conference (DAC), 2014, pp. 1–6.

C2 - P. Gasnier, M. Andraud, J. Willemin, S. Brulais, S. Boisseau, G. Despesse, C. Condemine,J-J Chaillout, “An ultra-low power maximum voltage detector for piezoelectric and electrostatic energy harvesters”, Proc. of New Circuits and Systems Conference (NEWCAS), June 2013.

C1 - Y. Gendrault, M. Madec, V. Wlotzko, M. Andraud, C. Lallement, J. Haiech, “Using digital electronic design flow to create a genetic design automation tool” In proc. of IEEE Engineering in Medicine and Biology Society Conference (EMBC), pp. 5530--5533, 2012.

Invited talks in international conferences

IT3 - M. Andraud, H.-G. Stratigopoulos, E. Simeu, “Post manufacturing “one-shot” calibration of analog/RF circuits based on non- intrusive sensors,” in Proc. of IEEE International Mixed-signal Testing Workshop, 2016, p. 1.

IT2 - A. Dimakos, M. Andraud, L. Abdallah, H.-G. Stratigopoulos, E. Simeu, and S. Mir, “Test and calibration of RF circuits using built- in non-intrusive sensros,” in Proc. of IEEE Computer Society International Symposium on VLSI, 2015, p. 627.

IT1 - M. Andraud, H.-G. Stratigopoulos, and E. Simeu, “Self-healing of RF circuits based on non-intrusive sensors,” in 13th IEEE International New Circuits and Systems Conference, Invited Talk in Special Session, Grenoble, France, 2015.

Other communication(s) and white papers

O2 - White Paper on Critical and Massive Machine Type Communication Towards 6G (contributor) – 6G Flagship - April 2020

O1 - M. Andraud, H.-G. Stratigopoulos, and E. Simeu, “Post-manufacturing one-shot calibration of RF circuits based on non-intrusive sensors,” in PhD Forum at Design Automation & Test in Europe, 2015 (best poster candidate).

Publication(s) under review

K.Periasamy, J.Leslin, A.Hyttinen, M.Andraud, “Enabling probabilistic edge AI through hardware acceleration of probabilistic circuits: now and next”, submitted to Journal of Emerging Topics In Circuits and Systems (JETCAS), May 2021