Nice to meet you!
I am a scientist and engineer with a background in chemical engineering and computer science and with a passion for data science and digitalization. I like to ask if and how established products or processes can be rethought. To do this, I identify current technological limitations, capture needs, and define the adequate specifications. When it comes to generating solutions, I like to be inspired by other domains, as similar problems may already have been solved elsewhere. That’s how I discovered digital as a way to innovate.
My continuous learning mindset helps me stay on top of the latest developments. Data and extracting knowledge from it through algorithms has been a critical part of my craft, but I have learned to question whether the information I want is even available. Furthermore, the philosophical aspects of my work are close to my heart because today’s solutions can become tomorrow’s problems. After all, we are the creators of tomorrow’s world. I firmly believe that great things can be achieved through creativity, collaboration, and communication. Once the goal is set, I push to make sure it is achieved.
Outside of work, I spend my free time traveling, photographing, writing and reading, or playing sports.
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.