Associate Professor
Current
Apr 2016 - Present
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Manuel Lopes Email & Phone Number
Associate Professor @ Instituto Superior Técnico | PhD, Robotics and Machine Learning
at
Instituto Superior Técnico
1 work email found
@inria.fr
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✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Associate Professor @ Instituto Superior Técnico | PhD, Robotics and Machine Learning
Location
Lisbon Metropolitan Area, Portugal, Portugal
Who is Manuel Lopes? Overview
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Quick answer
Manuel Lopes is listed as Associate Professor @ Instituto Superior Técnico | PhD, Robotics and Machine Learning at Instituto Superior Técnico, based in Lisbon Metropolitan Area, Portugal, Portugal. AeroLeads shows a work email signal at inria.fr and a matched LinkedIn profile for Manuel Lopes.
Manuel Lopes previously worked as Associate Professor at Instituto Superior Técnico and Researcher / Chercheur at Inria. Manuel Lopes holds Phd, Electrical And Computer Engineering from Instituto Superior Técnico.
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Email format at Instituto Superior Técnico
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{first}.{last}@inria.fr
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AeroLeads found 1 current-domain work email signal for Manuel Lopes. Compare company email patterns before reaching out.
Profile bio
About Manuel Lopes
As an associate professor at Instituto Superior Técnico (IST), I have over 15 years of experience in teaching and researching artificial intelligence (AI), machine learning (ML), robotics, and computer vision. My mission is to understand natural and artificial learning and to develop smarter and more useful machines that can interact with humans and the environment.I have published multiple papers in prestigious journals and conferences, such as IJCAI and Autonomous Robots, and received several awards and grants for my work. I have also collaborated with leading institutions and organizations, such as INRIA, VTT, and ISR-Lisboa, on various projects related to humanoid robotics, intelligent systems, machine teaching, and interactive learning. I am passionate about advancing the field of AI and robotics and sharing my knowledge and expertise with students and peers.
Listed skills include Machine Learning, Computer Vision, Robotics, Artificial Intelligence, and 14 others.
Current workplace
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7 roles · 25 years
Manuel Lopes work experience
A career timeline built from the work history available for this profile.
Researcher / Chercheur
Oct 2010 - Apr 2016
Lecturer In Humanoid Robotics & Intelligent Systems,
Teaching courses on robotics, control theory, and power systems.Research on Humanoid Robotics & Intelligent Systems
Sep 2009 - Oct 2010
Researcher
Oct 2006 - Sep 2009
2001 - 2009
~8 yrs
May 2006 - Nov 2006
Lecturer
Escola Superior De Tecnologia Setúbal
Teaching courses on robotics, signal processing and control theory.
Nov 2001 - Apr 2006
2 education records
Manuel Lopes education
Phd, Electrical And Computer Engineering
Lic., Robotics
FAQ
Frequently asked questions about Manuel Lopes
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What company does Manuel Lopes work for?
Manuel Lopes works for Instituto Superior Técnico.
What is Manuel Lopes's role at Instituto Superior Técnico?
Manuel Lopes is listed as Associate Professor @ Instituto Superior Técnico | PhD, Robotics and Machine Learning at Instituto Superior Técnico.
What is Manuel Lopes's email address?
AeroLeads has found 1 work email signal at @inria.fr for Manuel Lopes at Instituto Superior Técnico.
Where is Manuel Lopes based?
Manuel Lopes is based in Lisbon Metropolitan Area, Portugal, Portugal while working with Instituto Superior Técnico.
What companies has Manuel Lopes worked for?
Manuel Lopes has worked for Instituto Superior Técnico, Inria, University Of Plymouth, Institute For Systems And Robotics (Isr-Lisboa), and Vtt.
How can I contact Manuel Lopes?
You can use AeroLeads to view verified contact signals for Manuel Lopes at Instituto Superior Técnico, including work email, phone, and LinkedIn data when available.
What schools did Manuel Lopes attend?
Manuel Lopes holds Phd, Electrical And Computer Engineering from Instituto Superior Técnico.
What skills is Manuel Lopes known for?
Manuel Lopes is listed with skills including Machine Learning, Computer Vision, Robotics, Artificial Intelligence, Matlab, Latex, Pattern Recognition, and Computer Science.
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