Lorenzo A

Lorenzo A

Chief Executive Officer @ adaptronics

About

Mechanical engineer driven by the passion for entrepreneurship and for developing high-tech solutions that improve people’s lives and reshape the technological landscape. Currently developing Adaptive Mechatronic Robotic systems for versatile grasping and handling of any kind of object, designed for both Earth 🌍 and Space 🚀 applications. When not working on the next generation of intelligent grippers, you’ll probably find me brewing craft beer 🍻

Country

Italy

City

Greater Bologna Metropolitan Area

Industry

Defense & Space

Skill

Insegnamento universitario, Start-up, New business development, Raccolta fondi, Ingegneria, Microsoft Office, Lingua inglese, Matlab, Project management, Sviluppo di prodotto, Continuous improvement, SolidWorks, AutoCAD, C++, AMESim, Microsoft Word, Microsoft Excel, Arduino (hardware), Simulink, English

Experience

adaptronics

Chief Executive Officer

adaptronics

LinkedIn
2022-5 - Present · 4 yrs 5 mos

Bologna, Emilia Romagna, Italia

Alma Mater Studiorum – Università di Bologna

Assistant professor (RTD-A) @ Department of Industrial Engineering - DIN

Alma Mater Studiorum – Università di Bologna

LinkedIn
2023-1 - 2025-10 · 2 yrs 10 mos

Bologna

From 2022 to 2025 Professor of the following courses: - Foundations of Mechanics of Machines P - First cycle degree programme (L) in Polymeric Composite - Mechanical Actuators P - First cycle degree programme (L) in Mechatronics

Alma Mater Studiorum – Università di Bologna

Postdoctoral Researcher

Alma Mater Studiorum – Università di Bologna

LinkedIn
2019-11 - 2022-12 · 3 yrs 2 mos

Bologna, Italia

Mind the Bridge

Startup School Attendee - Class of 2022

Mind the Bridge

LinkedIn
2022-2 - 2022-2 · 1 mo

San Francisco, California, Stati Uniti d'America

Startup School is an entrepreneurship education program that immerses founders in Silicon Valley's startup ecosystem, giving them valuable experiences with a mix of frontal lectures, seminars and meet-ups.

McKinsey & Company

Virtual Academy Program 2020

McKinsey & Company

LinkedIn
2020-6 - 2020-7 · 2 mos

https://www.mckinsey.com/careers/virtual-academy

ZeMA gGmbH

Visiting Ph.D. researcher

ZeMA gGmbH

LinkedIn
2018-4 - 2019-5 · 1 yr 2 mos

Saarbrücken, Germania

Bosch

R&D Mechanical Engineer

Bosch

LinkedIn
2015-4 - 2016-11 · 1 yr 8 mos

Crema

CONDITION MONITORING – Algorithms for lifetime predictions and fatigue damage accumulation - Research on Wear Processes of Vanes Mechanical Oil Pump with Variable Displacement (MOPVD) - Development of experimental test procedures and post-processing analyses for accelerated wear process of MOPVD components. Researches in order to enhance oil’s lifetime CLOUD CONNECTIVITY - Predictive Diagnosis and Preventive Maintenance for Vehicle PC\HD - Detect and predict Oil lubrication capacity, Fuel dilution, Filter clogging, Engine Wear - Predictive diagnosis for Industry 4.0 new applications

Education

Scuola Superiore Sant'Anna

Scuola Superiore Sant'Anna

LinkedIn

Emerging Digital Technologies

2016 - 2020 · 4 yrs

Thesis: Reliability assessment and predictive diagnosis of Dielectric Elastomer Transducers

MIB Trieste School of Management

MIB Trieste School of Management

LinkedIn

Executive MBA in Business Innovation

2023-7 - 2025-3 · 1 yr 9 mos

The Executive MBA in Business Innovation (EMBAIN, accredited by AMBA) is designed for managers, entrepreneurs, and start-up founders looking to leverage advanced technologies to enhance agility and transform their organization's business models. This part-time Master Course blends a comprehensive General Management curriculum with a focus on Business Innovation, specifically exploring deep tech-driven challenges. Deep tech refers to groundbreaking technologies rooted in scientific discoveries, engineering, physics, and medicine, which enable innovative business models and sustainable growth.

Universität des Saarlandes

Universität des Saarlandes

LinkedIn

System Engineer

2018 - 2019 · 1 yr
Politecnico di Milano

Politecnico di Milano

LinkedIn

Mechatronics & Robotics

2013 - 2015 · 2 yrs

Master Thesis @ BOSCH Vhit spa: Title - Numerical and Experimental Analysis of the Dynamics Interactions between Components of Vanes Pump Keywords - Vane Pumps, Applied Tribology, EHL model, Hertzian Theory of contact, Wear processes

University of Waterloo

University of Waterloo

LinkedIn

Mechanical & Mechatronics Engineering

2013 - 2014 · 1 yr
Politecnico di Milano

Politecnico di Milano

LinkedIn

Mechanical Engineering

2009 - 2013 · 4 yrs

Lorenzo A's Contact Information

Email

******@***.com

Phone

(**) *** ****

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