Using digital electronic design flow to create a Genetic Design Automation tool. - Yves Gendrault; Morgan Madec; Vincent Wlotzko; Martin Andraud; Christophe Lallement; Jacques Haiech (EMBC, 2012)

An ultra low power maximum voltage detector for piezoelectric and electrostatic energy harvesters. - Pierre Gasnier; Martin Andraud; Jérôme Willemin; Sébastien Brulais; Sebastien Boisseau; Ghislain Despesse; Cyril Condemine; Jean-Jacques Chaillout (NEWCAS, 2013)

One-Shot Calibration of RF Circuits Based on Non-Intrusive Sensors. - Martin Andraud; Haralampos-G. D. Stratigopoulos; Emmanuel Simeu (DAC, 2014)

Solutions for the self-adaptation of communicating systems in operation. - Martin Andraud; Anthony Deluthault; Mouhamadou Dieng; Florence Azaïs; Serge Bernard; Philippe Cauvet; Mariane Comte; Thibault Kervaon; Vincent Kerzerho; Salvador Mir; Paul-Henri Pugliesi-Conti; Michel Renovell; et al. (IOLTS, 2014)

Test and Calibration of RF Circuits Using Built-in Non-intrusive Sensors. - Athanasios Dimakos; Martin Andraud; Louay Abdallah; Haralampos-G. D. Stratigopoulos; Emmanuel Simeu; Salvador Mir (ISVLSI, 2015)

One-Shot Non-Intrusive Calibration Against Process Variations for Analog/RF Circuits. - Martin Andraud; Haralampos-G. D. Stratigopoulos; Emmanuel Simeu (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Exploring the unknown through successive generations of low power and low resource versatile agents. - Martin Andraud; Gönenç Berkol; Jaro De Roose; Santosh Gannavarapu; Haoming Xin; Eugenio Cantatore; Pieter J. A. Harpe; Marian Verhelst; Peter G. M. Baltus (DATE, 2017)

Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. - Ahmed Hallawa; Jaro De Roose; Martin Andraud; Marian Verhelst; Gerd Ascheid (GECCO (Companion), 2017)

Flexible and Self-Adaptive Sense-and-Compress for Sub-MicroWatt Always-on Sensory Recording. - Jaro De Roose; Haoming Xin; Martin Andraud; Pieter J. A. Harpe; Marian Verhelst (ESSCIRC, 2018)

A 0.1nW -1µW All-Dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability. - Haoming Xin; Martin Andraud; Peter G. M. Baltus; Eugenio Cantatore; Pieter Harpe (ESSCIRC, 2018)

Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. - Martin Andraud; Ahmed Hallawa; Jaro De Roose; Eugenio Cantatore; Gerd Ascheid; Marian Verhelst (GECCO (Companion), 2018)

From on-chip self-healing to self-adaptivity in analog/RF ICs: challenges and opportunities. - Martin Andraud; Marian Verhelst (IOLTS, 2018)

On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs. - Martin Andraud; Laura Isabel Galindez Olascoaga; Yichuan Lu; Yiorgos Makris; Marian Verhelst (ITC, 2018)

Optimized Hierarchical Cascaded Processing. - Koen Goetschalckx; Bert Moons; Steven Lauwereins; Martin Andraud; Marian Verhelst (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A 0.34-571nW All-Dynamic Versatile Sensor Interface for Temperature, Capacitance, and Resistance Sensing. - Haoming Xin; Martin Andraud; Peter G. M. Baltus; Eugenio Cantatore; Pieter Harpe (ESSCIRC, 2019)

A 0.1-nW-1- $ mu$ W Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter. - Haoming Xin; Martin Andraud; Peter G. M. Baltus; Eugenio Cantatore; Pieter Harpe (IEEE J. Solid State Circuits, 2019)

Avoiding Mixed-Signal Field Returns by Outlier Detection of Hard-to-Detect Defects based on Multivariate Statistics. - Nektar Xama; Jakob Raymaekers; Martin Andraud; Jhon Gomez; Wim Dobbelaere; Ronny Vanhooren; Anthony Coyette; Georges G. E. Gielen (ETS, 2020)

White Paper on Critical and Massive Machine Type Communication Towards 6G. - Nurul Huda Mahmood; Stefan Böcker; Andrea Munari; Federico Clazzer; Ingrid Moerman; Konstantin Mikhaylov; Onel L. Alcaraz López; Ok-Sun Park; Eric Mercier; Hannes Bartz; Riku Jäntti; Ravikumar Pragada; et al. (CoRR, 2020)

Machine Learning-based Defect Coverage Boosting of Analog Circuits under Measurement Variations. - Nektar Xama; Martin Andraud; Jhon Gomez; Baris Esen; Wim Dobbelaere; Ronny Vanhooren; Anthony Coyette; Georges G. E. Gielen (ACM Trans. Design Autom. Electr. Syst., 2020)

Machine type communications: key drivers and enablers towards the 6G era. - Nurul Huda Mahmood; Stefan Böcker; Ingrid Moerman; Onel L. Alcaraz López; Andrea Munari; Konstantin Mikhaylov; Federico Clazzer; Hannes Bartz; Ok-Sun Park; Eric Mercier; Selma Saidi; Diana Pamela Moya Osorio; et al. (EURASIP J. Wirel. Commun. Netw., 2021)

A Hardware Perspective to Evaluating Probabilistic Circuits. - Jelin Leslin; Antti Hyttinen; Karthekeyan Periasamy; Lingyun Yao; Martin Trapp 001; Martin Andraud (PGM, 2022)

A temperature and process compensation circuit for resistive-based in-memory computing arrays. - Dipesh C. Monga; Omar Numan; Martin Andraud; Kari Halonen (ISCAS, 2023)

Toward All-Digital Time-Domain Neural Network Accelerators for In-Sensor Processing Applications. - Ahmed M. Mohey; Marko Kosunen; Jussi Ryynänen; Martin Andraud (NorCAS, 2023)

A Self-Calibrated Activation Neuron Topology for Efficient Resistive-Based In-Memory Computing. - Omar Numan; Martin Andraud; Kari Halonen (VLSI-SoC, 2023)

Evaluating an Analog Main Memory Architecture for All-Analog In-Memory Computing Accelerators. - Kazybek Adam; Dipesh C. Monga; Omar Numan; Gaurav Singh; Kari Halonen; Martin Andraud (AICAS, 2024)

On-chip Built-In Self-Calibration of Thermal Variations for Mixed-Signal In-Memory Computing. - Gaurav Singh; Omar Numan; Dipesh C. Monga; Martin Andraud; Kari Halonen (ETS, 2024)

AutoPC: An Open-Source Framework for Efficient Probabilistic Reasoning on FPGA Hardware. - Karthekeyan Periasamy; Jelin Leslin; Aleksi Korsman; Lingyun Yao; Martin Andraud (NewCAS, 2024)

On Hardware-efficient Inference in Probabilistic Circuits. - Lingyun Yao; Martin Trapp 001; Jelin Leslin; Gaurav Singh 005; Peng Zhang 028; Karthekeyan Periasamy; Martin Andraud (UAI, 2024)

A 22-nm All-Digital Time-Domain Neural Network Accelerator for Precision In-Sensor Processing. - Ahmed M. Mohey; Jelin Leslin; Gaurav Singh 005; Marko Kosunen; Jussi Ryynänen; Martin Andraud (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications. - Jelin Leslin; Martin Trapp 001; Martin Andraud (COINS, 2025)

Gated Ring Oscillator-Based Time-to-Digital Converter for Event-Triggered Sensing Applications. - Ahmed M. Mohey; Marko Kosunen; Jussi Ryynänen; Martin Andraud (NewCAS, 2025)

Low-Power Wide-Range Time-to-Digital Converter for Time-of-Flight Range Finders. - Ahmed M. Mohey; Marko Kosunen; Jussi Ryynänen; Martin Andraud (IEEE Access, 2025)

Acore-CIM: build accurate and reliable mixed-signal CIM cores with RISC-V controlled self-calibration. - Omar Numan; Gaurav Singh 005; Kazybek Adam; Jelin Leslin; Aleksi Korsman; Otto Simola; Marko Kosunen; Jussi Ryynänen; Martin Andraud (CoRR, 2025)

MC2A: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration. - Shirui Zhao; Jun Yin; Lingyun Yao; Martin Andraud; Wannes Meert; Marian Verhelst (CoRR, 2025)