Nice to meet you!
I am a scientist and engineer with a unique dual background in chemical engineering and computer science, driven by a passion for challenging conventional thinking and reimagining established processes. With a strong foundation in digital innovation, I focus on uncovering user needs, addressing technological constraints, and drawing cross-disciplinary insights to inform impactful solutions.
My work sits at the intersection of data science, process systems, and product development, where I balance rigorous analytical thinking with philosophical reflection on the broader consequences of innovation. I bring a critical perspective on data-driven methodologies, always questioning whether meaningful insights are attainable and how they translate into real-world impact.
Known for my curiosity, creativity, and collaborative mindset, I thrive in environments that value continuous learning and thoughtful experimentation. I am committed to turning visionary ideas into reality through clear communication and disciplined execution.
Beyond my professional endeavors, I enjoy travel, photography, writing, reading, and sports–activities that reflect my inquisitive nature and love for exploration.
G. Tancev, “Reliable Air Quality Monitoring with Low-Cost Gas Sensor Systems in Smart Cities,” 2023. Dissertation.
G. Tancev and F. G. Toro, “Towards a Digital Twin for Air Quality Monitoring Networks in Smart Cities,” in ISC2 2022 - 8th IEEE International Smart Cities Conference, IEEE, 2022, pp. 1–4, ISBN: 9781665485616. DOI: 10.1109/ISC255366.2022.9921782.
G. Tancev, A. Ackermann, G. Schaller, and C. Pascale, “Efficient and Automated Generation of Orthogonal Atmospheres for the Characterization of Low-Cost Gas Sensor Systems in Air Quality Monitoring,” IEEE Transactions on Instrumentation and Measurement, vol. 71, 2022. DOI: 10.1109/TIM.2022.3198747.
G. Tancev and F. Grasso Toro, “Stochastic Online Calibration of Low-Cost Gas Sensor Networks with Mobile References,” IEEE Access, vol. 10, pp. 13901–13910, 2022. DOI: 10.1109/access.2022.3145945.
G. Tancev and F. Grasso Toro, “Variational Bayesian calibration of low-cost gas sensor systems in air quality monitoring,” Measurement: Sensors, vol. 19, p. 100365, 2022. DOI: 10.1016/j.measen.2021.100365.
G. Tancev and F. Grasso Toro, “Sequential Recalibration of Wireless Sensor Networks with (Stochastic) Gradient Descent and Mobile References,” vol. 18, 2021, p. 100115. DOI: 10.1016/j.measen.2021.100115.
V. Gotta, G. Tancev, O. Marsenic, J. E. Vogt, and M. Pfister, “Identifying key predictors of mortality in young patients on chronic haemodialysis - A machine learning approach,” Nephrology Dialysis Transplantation, vol. 36, no. 3, pp. 519–528, 2021. DOI: 10.1093/ndt/gfaa128.
S. Horender, G. Tancev, K. Auderset, and K. Vasilatou, “Traceable PM2.5 and PM10 Calibration of Low-Cost Sensors with Ambient-Like Aerosols Generated in the Laboratory,” Applied Sciences, vol. 11, p. 9014, 2021. DOI: 10.3390/app11199014.
G. Tancev, “Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring,” Sensors, vol. 21, no. 9, p. 3298, 2021. DOI: 10.3390/s21093298.
G. Tancev and C. Pascale, “The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias,” Sensors, vol. 20, no. 21, 2020. DOI: 10.3390/s20216198.
K. D. Singh, G. Tancev, F. Decrue, et al., “Standardization procedures for real-time breath analysis by secondary electrospray ionization high-resolution mass spectrometry,” Analytical and Bioanalytical Chemistry, vol. 411, no. 19, pp. 4883–4898, 2019. DOI: 10.1007/s00216-019-01764-8.