Jaime Llorca
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Jaime Llorca Email & Phone Number

Associate Professor at Università di Trento
Location: Italy, Italy, Italy 13 work roles 3 schools
1 work email found @nyu.edu 4 phones found area 732, 202, 240, and 323 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email j****@nyu.edu
Direct phone (732) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Associate Professor
Location
Italy, Italy, Italy
Company size

Who is Jaime Llorca? Overview

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Quick answer

Jaime Llorca is listed as Associate Professor at Università di Trento, a company with 5 employees, based in Italy, Italy, Italy. AeroLeads shows a work email signal at nyu.edu, phone signal with area code 732, 202, 240, 323, and a matched LinkedIn profile for Jaime Llorca.

Jaime Llorca previously worked as Research Professor at New York University and Head Of R&D at Gt Systems Australia. Jaime Llorca holds Ph.D., Electrical And Computer Engineering from University Of Maryland.

Company email context

Email format at Università di Trento

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{first}.{last}@nyu.edu
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AeroLeads found 1 current-domain work email signal for Jaime Llorca. Compare company email patterns before reaching out.

Profile bio

About Jaime Llorca

Next-generation networks R&D leader with 20+ years of experience in academia, industry labs, and tech startups. Future-focused approach to driving research initiatives that anticipate customer needs and deliver transformational impact. Track record of strengthening corporate vision and technology strategy, creating innovative solutions to big industry challenges, and leading cross-functional teams toward winning executions. Extensive expertise in advanced communication networks and distributed cloud technologies, with a special focus on the impact of 5G, cloud-network convergence, artificial intelligence (AI), and the internet of things (IoT) on future value creation, digital transformation, and industrial automation. • R&D Management, Technology Strategy • Network Modeling / Optimization / Control• Algorithms, Machine Learning, Artificial Intelligence• Operations Research, Cyber-Physical Systems• Mobile / Edge / Cloud Computing, 5G, IoT • End-to-End Service Orchestration, Content Distribution• Virtualization and Programmability (NFV / SDN)• Information-Centric Networking (ICN)• Observability, Analytics, Automation• Decentralization and Blockchain Technologies• Metaverse-Ready Networks120+ publications, 30+ invited talks, 22 patents, 3 book chapters, 3 keynotes

Listed skills include Algorithms, Matlab, Machine Learning, Telecommunications, and 34 others.

Current workplace

Jaime Llorca's current company

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Università di Trento
Università Di Trento
Associate Professor
Italy
Employees
5
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13 roles · 24 years

Jaime Llorca work experience

A career timeline built from the work history available for this profile.

Associate Professor

Current

Trento, Trentino-Alto Adige, Italy

Jul 2024 - Present

Research Professor

Current

New York City Metropolitan Area

  • Drive cross-organization collaborative research initiatives that focus on leveraging the convergence and integration of 5G, distributed cloud/edge computing, and AI technologies to enable the next generation of.
  • Developed winning proposal and currently lead NYU research activities for $3M-award NSF (National Science Foundation) RINGS (Resilient and Intelligent NextG Systems) project: "Resilient Delivery of Real-Time.
  • Developed winning proposal and led research activities for $2M NSF NETS project: "Optimal Delivery of Augmented Information Services Over Next-Generation Cloud Networks"; in collaboration with USC.
  • Co-developed winning proposal and participated in research activities for $1.6M NSF NETS project: "Caching and Coding for Media Delivery in Next Generation Wireless Networks"; in collaboration with Nokia Bell Labs.
2019 - Present ~7 yrs 4 mos

Head Of R&D

Current
  • Lead R&D effort to design and build next-generation blockchain-based universal content distribution networks (UCDN) that enable decentralized contribution and optimized use of distributed compute, storage, and network.
  • Led design of SPAN-AI, a patented AI-based content-native networking protocol suite that solves TCP/IP limitations by allowing content and applications, detached from location, move through the network following demand.
  • Developed staged modeling strategy that showed progressive benefits of SPAN-AI to reduce network infrastructure costs by up to 80% and application latency by 7X. Resulting study became key marketing & sales asset for.
2020 - Present ~6 yrs 4 mos

Director Of Strategy

Current
5G Academy, Italy

Naples, Campania, Italy

Lead technology and business strategy at the 5G Academy, Italy, a first-of-its-kind initiative aimed at bridging the gap between traditional discipline-oriented education and increasingly sought-after transversal and cross-disciplinary skills for the next generation to lead and shape a rapidly evolving and highly transformative digital future.

2021 - Present ~5 yrs 4 mos

Faculty And Technical Advisor

Current
5G Academy, Italy

Naples, Campania, Italy

2020 - Present ~6 yrs 4 mos

Next-Generation Networks Consultant

Current
Independent Consultant

Provide technology strategy and R&D consulting services for digital transformation, network modeling/optimization, content delivery, and cloud computing projects in both industry and academia.

2019 - Present ~7 yrs 4 mos

Associate Editor

Current
Ieee/Acm Transactions On Networking
2018 - Present ~8 yrs 4 mos

Senior Research Scientist

Greater New York City Area

Led research projects in cloud/network modeling and optimization, showing more than 5X cost savings for operators via edge cloud integration, network virtualization, and optimized service placement. Built teams to invent and prototype solutions with direct business impact. Proactively established interface between research and business groups, anticipating.

2015 - 2019 ~4 yrs

Communication Networks Research Scientist

Greater New York City Area

Spearheaded research initiatives, invented disruptive technologies, and led cross-functional teams to transform content delivery solutions for the distributed cloud era, demonstrating multi-fold efficiency gains, and generating successful technology transfers and patent licensing agreements.

2010 - 2015 ~5 yrs

Faculty Research Associate

College Park, MD

Invented disruptive physics-inspired models for the optimization and control of heterogeneous and dynamic wireless networks. Taught undergraduate courses and managed students, software developers, and hardware engineers.

2008 - 2010 ~2 yrs
3 education records

Jaime Llorca education

FAQ

Frequently asked questions about Jaime Llorca

Quick answers generated from the profile data available on this page.

What company does Jaime Llorca work for?

Jaime Llorca works for Università di Trento.

What is Jaime Llorca's role at Università di Trento?

Jaime Llorca is listed as Associate Professor at Università di Trento.

What is Jaime Llorca's email address?

AeroLeads has found 1 work email signal at @nyu.edu for Jaime Llorca at Università di Trento.

What is Jaime Llorca's phone number?

AeroLeads has found 4 phone signal(s) with area code 732, 202, 240, 323 for Jaime Llorca at Università di Trento.

Where is Jaime Llorca based?

Jaime Llorca is based in Italy, Italy, Italy while working with Università di Trento.

What companies has Jaime Llorca worked for?

Jaime Llorca has worked for Università Di Trento, New York University, Gt Systems Australia, 5G Academy, Italy, and Independent Consultant.

How can I contact Jaime Llorca?

You can use AeroLeads to view verified contact signals for Jaime Llorca at Università di Trento, including work email, phone, and LinkedIn data when available.

What schools did Jaime Llorca attend?

Jaime Llorca holds Ph.D., Electrical And Computer Engineering from University Of Maryland.

What skills is Jaime Llorca known for?

Jaime Llorca is listed with skills including Algorithms, Matlab, Machine Learning, Telecommunications, Network Optimization, Distributed Systems, Energy Efficiency, and Information Theory.

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