The open access Phoenix publications are listed below, organized by topic.

All publications can also be found at our ResearchGate project page link.

•  Çaylak, Onur, Anil Yaman, and Björn Baumeier, Evolutionary Approach to Constructing a Deep Feedforward Neural Network for Prediction of Electronic Coupling Elements in Molecular Materials, Journal of Chemical Theory and Computation 2019 15 (3), 1777-1784, DOI: 10.1021/acs.jctc.8b01285 link
• Iacca, G., F. Caraffini, Compact optimization algorithms with re-sampled inheritance, Proc. of EvoStar 2019 link 
• Miras, K. & Eiben, A.E., 2019, Effects of environmental conditions on evolved robot morphologies and behavior (GECCO) link.
• Miras, K., Gansekoele, A., Glette, K. & Eiben, A.E., 2018, November. Insights in evolutionary exploration of robot morphology spaces. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 867-874). IEEE. link
• Miras, K., E. Haasdijk, K. Glette, & A. E. Eiben,“Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors” in Proceedings of the Artificial Life Conference 2018 (ALIFE 2018), T. Ikegami, N. Virgo, O. Witkowski, R. Suzuki, M. Oka, and H. Iizuka, Eds. Tokyo: MIT Press, 2018. link
• Caraffini, F., F. Neri, G. Iacca, Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables, Proc. of EvoStar 2017 link
• Miras, K., Haasdijk, E., Glette, K., & Eiben, A. E. (2018, April). Search Space Analysis of Evolvable Robot Morphologies. In International Conference on the Applications of Evolutionary Computation (pp. 703-718). Springer, Cham. link
• Bosman, H. H., Iacca, G., Tejada, A., Wörtche, H. J., & Liotta, A. (2017). Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion, 33, 41-56. link
• Auerbach, J. E., Iacca, G., & Floreano, D. (2016, July). Gaining insight into quality diversity. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (pp. 1061-1064). ACM. link
• Bosman, H. H. W. J. (2015). Anomaly detection in networked embedded sensor systems. Networks, 35, 14-36. (PhD Dissertation 9/2016.) link
• Hallawa, A., De Roose, J., Andraud, M., Verhelst, M., & Ascheid, G. (2017, July). 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). ACM. link
• Caraffini, F., Iacca, G., & Yaman, A. Improving (1+1)-Covariance Matrix Adaptation Evolution Strategy: a simple yet efficient approach. In 14th International Workshop on Global Optimization. LeGO 2018. link
• Yaman, A., Mocanu, D. C., Iacca, G., Fletcher, G., & Pechenizkiy, M. Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. GECCO2018. link

• Yaman, A., G. Iacca, F. Caraffini, A comparison of three Differential Evolution strategies in terms of early convergence with different population sizes, AIP Conference Proceedings 2019 link
• Yaman, A., G. Iacca, D.C. Mocanu, G. Fletcher, M. Pechenizkiy. Learning with Delayed Synaptic Plasticity, Genetic and Evolutionary Computation Conference 2019 (GECCO ’19), July 13–17, 2019, Prague, Czech Republic link
• Yaman, A., Hallawa, A., Coler, M., & Iacca, G. (2017, April). Presenting the ECO: Evolutionary Computation Ontology. In European Conference on the Applications of Evolutionary Computation (pp. 603-619). Springer, Cham. link
• Hallawa, A., Yaman, A., Iacca, G., & Ascheid, G. (2017, April). A framework for knowledge integrated evolutionary algorithms. In European Conference on the Applications of Evolutionary Computation (pp. 653-669). Springer, Cham. link
• Yaman, A., Iacca, G., Coler, M., Fletcher, G., & Pechenizkiy, M. (2018, April). Multi-strategy differential evolution. In International Conference on the Applications of Evolutionary Computation (pp. 617-633). Springer, Cham. link

• A. Hallawa, T. Rahman, G. Iacca, G. Ascheid, Morphological Evolution for Pipe Inspection Using ROS, Proc. of KomPlasTech 2019 link
• Schlupkothen, S., Hallawa, A., & Ascheid, G. Evolutionary algorithm optimized centralized offline localization and mapping” In International conference on computing, networking and communications (ICNC). IEEE, March 2018 link
• Hallawa, A., Schlupkothen, S., Iacca, G., & Ascheid, G. (2017, July). Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1721-1726). ACM. link

• Haoming Xin, Martin Andraud, Peter Baltus, Eugenio Cantatore, and Pieter Harpe, A 0.1-nW-1-μW Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter, IEEE Journal of Solid-State Circuits. Vol. 54, no.7, pp. 1841-1851, July 2019. link
• Xin, Haoming, Martin Andraud, Peter Baltus, Eugenio Cantatore, Pieter Harpe. (2018). A 0.1nW-1µW All-Dynamic Capacitance-to-Digital Converter with Power/Speed/Capacitance Scalability. ESSCIRC 2018. link
• De Roose, Jaro, Haoming Xin, Martin Andraud, Pieter Harpe, Marian Verhelst. (2018). Flexible and Self-Adaptive Sense-and-Compress for Sub-Microwatt Always-on Sensory Recording. ESSCIRC 2018. link
• Andraud, M., Berkol, G., De Roose, J., Gannavarapu, S., Xin, H., Cantatore, E., … & Baltus, P. G. (2017, March). Exploring the unknown through successive generations of low power and low resource versatile agents. In Proceedings of the Conference on Design, Automation & Test in Europe (pp. 290-293). European Design and Automation Association. link
• Duisterwinkel, E. H., Talnishnikh, E., Krijnders, D., & Wörtche, H. J. (2018). Sensor Motes for the Exploration and Monitoring of Operational Pipelines. IEEE Transactions on Instrumentation and Measurement, 67(3), 655-666. link
• Duisterwinkel, E. H., Dubbelman, G., Demi, L., Talnishnikh, E., Wörtche, H. J., & Bergmans, J. W. (2018). Robust reconstruction of sensor swarms floating through enclosed environments. Wireless Sensor Network, 10(01), 1. link
• Rantong, Dylan. 2018. Sensor motes in a multiphase medium. BA thesis. TU/Eindhoven. Supervised by HJ Woertche link
• Andraud, M., Hallawa, A., De Roose, J., Cantatore, E., Ascheid, G., & Verhelst, M. Evolving Hardware Online Instinctive Behaviors in Resource-scarce Agent Swarms Exploring Hard-to-reach Environments. GECCO 2018. link

• S. Sadeghpour, et al., “PMUTs Array with Dynamic Directivity: A Study of its Underwater Acoustic Power Intensity,” IEEE International Ultrasonics Symposium, 2018. link
• S. Sadeghpour, et al. “Optimization in the design and fabrication of a PZT piezoelectric micromachined ultrasound transducer (PMUT).” Multidisciplinary Digital Publishing Institute Proceedings. Vol. 2. No. 13. 2018. link
• S. Sadeghpour, et al. “Resonating Shell: A Spherical-Omnidirectional Ultrasound Transducer for Underwater Sensor Networks.” Sensors 19.4 (2019): 757. link 
• Sadeghpour, S., Meyers, S., Kruth, J. P., Vleugels, J., & Puers, R. (2017, August). Single-Element Omnidirectional Piezoelectric Ultrasound Transducer for under Water Communication. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 1, No. 4, p. 363). link
• Sadeghpour, S., Pobedinskas, P., Haenen, K., & Puers, R. (2017, August). A Piezoelectric Micromachined Ultrasound Transducers (pMUT) Array, for Wide Bandwidth Underwater Communication Applications. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 1, No. 4, p. 364). link
• Schlupkothen, S., Prasse, B., & Ascheid, G. (2018). Backtracking-based dynamic programming for resolving transmit ambiguities in WSN localization. EURASIP Journal on Advances in Signal Processing, 2018(1), 20. link
• Schlupkothen, S., Hallawa, A., & Abschied, G. Evolutionary algorithm optimized centralized offline localization and mapping” In International conference on computing, networking and communications (ICNC). IEEE, March 2018 link
• Berkol, G., Baltus, P. G. M., Harpe, P. J. A., & Cantatore, E.. Design of a Low-power Ultrasound Transceiver for Underwater Sensor Networks. PRIME 2018. link
• Andraud, M., L. Galindez, Y. Lu, Y. Makris, M. Verhelst, “On the use of Bayesian Networks for resource efficient self-calibration of analog/RF ICs2018 IEEE International Test Conference (ITC), Phoenix, AZ, USA, 2018, pp. 1-10.
  DOI: 10.1109/TEST.2018.8624893. link
• Andraud, M. and Verhelst, M. “From On-chip Self-Healing to Self-Adaptivity in Analog/RF ICs: Challenges and Opportunities”, 2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS), Platja d’Aro, 2018, pp. 131-134. DOI: 10.1109/IOLTS.2018.8474078. link

• Xin, H., Andraud, M., Baltus, P., Cantatore, E., & Harpe, P. (2018). A 174pW-488.3 nW 1S/s-100kS/s All-Dynamic Resistive Temperature Sensor with Speed/Resolution/Resistance Adaptability. IEEE Solid-State Circuits Letters. link