Personale docente

Lorenzo Serva

Ricercatore a tempo determinato

AGRI-09/C

Indirizzo: VIALE DELL'UNIVERSITA', 16 - LEGNARO PD . . .

Telefono: 0498272584

E-mail: lorenzo.serva@unipd.it

NAME Serva Lorenzo

ADDRESS Viale dell'Università, 16, Department of Animal Medicine, Production
and Health, 35020, Legnaro, Italy (Work)

E-MAIL lorenzo.serva@unipd.it

LINKEDIN: https://www.linkedin.com/in/lorenzo-serva-6717713/

POSITION: Researcher in Tenure Track (RTT), University of Padua

EDUCATION
1) Master's in Biostatistics for Clinical Research and Publication (focus on statistical analysis and research methodologies), University of Padua;
2) PhD in Animal Sciences (focus on NIR application in agriculture), University of Padua;
3) Bachelor's Degree in Agricultural Sciences (focus on NIR applications in meat quality evaluation), University of Padua.

SKILLS AND EXPERIENCE:
1) Data Analysis: Extensive experience with R programming, particularly in Machine Learning applications. Proven ability to manipulate, analyze, and interpret complex datasets.
2) Wet chemistry and NI: Laboratory analysis for agricultural products.
3) International Research Experience: Conducted research at the USDA Madison (WI) and CRA Wallonie (Belgium), demonstrating strong research skills and international exposure.
4) Teaching: Contributed to university courses, integrated teaching instructor, and co-supervised undergraduate and doctoral theses.
5) Languages: Proficient in written, reading, and spoken English (B1 spoken - B2 written).

TOPIC EDITOR:
1) Frontiers in Animal Science Topic in "Technological and Economic Advancement for Efficient and Sustainable Dairy Farming in Large Ruminants", https://www.frontiersin.org/research-topics/50552/technological-and-economic-advancement-for-efficient-and-sustainable-dairy-farming-in-large-ruminant
2) Animals, Special Issue "Advances in Ruminant Feeding and Nutrition in the Digital Era", https://www.mdpi.com/journal/animals/special_issues/Advances_Ruminant_Feeding_Nutrition_Digital_Era)

RESEARCH TOPICS:
1) Applications of NIR (Near InfraRed) spectroscopy for the qualitative analysis of agricultural products in the scope of Precision Agriculture (PA). Data-driven applications for Precision Livestock Farming (PLF);
2) Feed quality evaluation and animal nutrition.

SCIENTIFIC PAPERS (SCOPUS H-INDEX = 15): Orcid: 0000-0003-0660-9637

Orcid: 0000-0003-0660-9637

Scopus: https://www.scopus.com/authid/detail.uri?authorId=24345300500

WOS: https://www.webofscience.com/wos/author/record/C-6607-2019

Research gate: https://www.researchgate.net/profile/Lorenzo-Serva?ev=hdr_xprf

Linkedin: https://www.linkedin.com/in/lorenzo-serva-6717713/

Ricevimento degli studenti su appuntamento (mandare un'e-mail).