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Copenhagen, DenmarkAvailable for collaboration

LeonardoFerhati

PhD Researcher · DTUSoftware Developer

I'm a PhD candidate at DTU and an energy engineer passionate about sustainability, energy technologies, and software development. By day I push the boundaries of my research in Absolute Environmental Sustainability Assessment (AESA) and Life Cycle Assessment (LCA) for electric vehicles; by night I build tools and apps that actually run in production.

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01 / About

Who I Am

I'm a PhD candidate at DTU and an energy engineer passionate about sustainability, energy technologies, and software development. By day I push the boundaries of my research in Absolute Environmental Sustainability Assessment (AESA) and Life Cycle Assessment (LCA) for electric vehicles; by night I build tools and apps that actually run in production.

My academic work demands precision, reproducibility, and deep systems thinking — the same principles I carry into every codebase I touch. I'm highly motivated and drawn to complex problems: the kind that reward both rigorous mathematical modeling in energy systems and sharp engineering instinct.

DTU ProfileLinkedInGitHub

Current Position

PhD Student

DTU Sustain & DTU Wind

Danmarks Tekniske Universitet (DTU)

11/2024 — 10/2027

Research Areas

Life Cycle Assessment (LCA)Absolute Environmental Sustainability (AESA)Energy Systems ModellingElectric Vehicles & Battery Storage

Education

PhD in System Analysis for Absolute Sustainability of EVs

Technical University of Denmark (DTU Sustain & DTU Wind) · Nov 2024 — Oct 2027

MSc in Advanced Energy Engineering

Università di Pisa (Exchange at EPFL, Switzerland) · Sept 2022 — Sept 2023

BSc in Energy Engineering

Università di Pisa · Oct 2019 — June 2022

02 / Research

Academic Work

Ongoing Research

System Analysis for Absolute Sustainability of Electric Vehicles in the Energy Systems

DTU Profile

My research focuses on systemic modeling and systematic engineering for Absolute Environmental Sustainability Assessment (AESA). I apply prospective Life Cycle Assessment (LCA) and optimization techniques to Electric Vehicle (EV) battery packs in the context of energy systems, while exploring the circularity of second-life batteries and Battery Energy Storage Systems (BESS).

Institution

Danmarks Tekniske Universitet (DTU)

Period

11/2024 — 10/2027

Supervisor

Mattia Marinelli, Francesco Pastorelli, Alexis Laurent

Publications

01

Environmental Impact Reduction of Integrating Large-scale Energy Storage for the 2050 Decarbonization Landscape

Ferhati, L.

Published Article2024

Research Areas

Life Cycle Assessment (LCA)
Absolute Environmental Sustainability (AESA)
Energy Systems Modelling
Electric Vehicles & Battery Storage

Academic Profiles

DTU Research

DTU ORBIT profile

Google Scholar

Citations & papers

ORCID

Research identifier

Academic Timeline

PhD in System Analysis for Absolute Sustainability of EVs

Technical University of Denmark (DTU Sustain & DTU Wind)

Nov 2024 — Oct 2027 · Ongoing

MSc in Advanced Energy Engineering

Università di Pisa (Exchange at EPFL, Switzerland)

Sept 2022 — Sept 2023

BSc in Energy Engineering

Università di Pisa

Oct 2019 — June 2022

03 / Work

Projects

Production

AMA

The ultimate AI Relationship & Chat Analyzer.

AMA is a production-grade iOS application for tracking and understanding relationship dynamics through chat history. It decodes patterns, sentiment, and behavior to give you a full report in seconds. With features like a Connection Index and an "AI Judge" for conflict resolution, it turns raw chat exports into longitudinal emotional signals.

Connection Index scoring reciprocity, emotivity, and romanticism
Honorable AI Judge (Court Mode) to analyze arguments and logical fallacies
Interactive 28-day timeline to track relational shifts and trends
Privacy-first architecture analyzing chat exports locally
iOS / SwiftAI / NLP Sentiment AnalysisLocal Processing
View Live
Beta

Coetus.ai

Collective intelligence, engineered.

Coetus.ai is an AI-powered collaboration platform designed to amplify group decision-making. It synthesizes diverse inputs, surfaces hidden consensus, and structures deliberation — making teams smarter than the sum of their parts.

LLM-powered synthesis of multi-stakeholder inputs
Real-time collaborative workspace
Structured decision frameworks with audit trails
Next.jsTypeScriptOpenAISupabaseTailwind CSS
View Live

04 / Contact

Let’s work together

Whether you’re interested in research collaboration, a software project, or just want to exchange ideas — I’m reachable.

leo.ferhati19@gmail.com
or find me on

GitHub

@leonardoferhati

LinkedIn

Leonardo Ferhati

DTU

Research Profile

Scholar

Publications