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Draft:Anderson de Lima Luiz

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Anderson de Lima Luiz
NationalityBrazilian [4]
CitizenshipBrazilian
Alma materUniversidade Federal do Paraná (B. Eng., M.Sc.) [3],
Technische Hochschule Ingolstadt (M.Eng.),
Fundação Getulio Vargas (MBA)
Known forResearch on AI/ML performance analysis, NLP applications, AI for emergency response drones
Scientific career
FieldsElectrical engineering, Artificial intelligence, Machine learning, Natural language processing, Automotive safety, Intelligent transportation systems, Computer vision for drone applications
InstitutionsTechnische Hochschule Ingolstadt [1] [2]
Universidade Federal do Paraná (formerly) [3]
Websitewww.thi.de/en/persons/anderson-de-lima-luiz/ [1]

Anderson de Lima Luiz is a Brazilian scientist and engineer specializing in artificial intelligence (AI) and its applications in mobility and emergency response. He is currently a Research Assistant and PhD Candidate at the Technische Hochschule Ingolstadt (THI) in Germany.[1] He is affiliated with the CARISSMA Institute of Safety in Future Mobility (C-ISAFE) and the AImotion AI Mobility Node.[1][5][6] His research includes performance analysis of AI models, natural language processing (NLP), and the development of AI systems for drone-based emergency situation assessment.[7][8][9]

Anderson de Lima Luiz (2023)

Education

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Anderson de Lima Luiz earned a Graduação em Engenharia Elétrica (equivalent to a Bachelor's or initial integrated Master's degree in Electrical Engineering) from the Universidade Federal do Paraná (UFPR) in Brazil in 2019.[3] His undergraduate studies focused on Microelectronics, Systems engineering, and Digital signal processing.[10] Under the supervision of Prof. Luis Henrique Assumpção Lolis, his research centered on designing digital circuits in 130 nm CMOS technology to compensate for clock skew and timing errors in Time-Interleaved Analog-to-Digital Converters (TIADCs), particularly for applications like OFDM systems.[3] This work was conducted through several projects from 2016 to 2018 and culminated in his graduation thesis.[3]

Early life and Education

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Anderson de Lima Luiz completed his Graduação em Engenharia Elétrica (an Engineering Degree in Electrical, Electronics & Telecommunication Engineering, often comparable to a Bachelor's or initial integrated Master's) at the Universidade Federal do Paraná (UFPR) in Brazil in 2019.[3] His focus areas were Microelectronics, Systems Engineering, and Digital Signal Processing.[10] His undergraduate research, supervised by Prof. Luis Henrique Assumpção Lolis, involved digital circuit design for compensating timing errors in Time-Interleaved Analog-to-Digital Converters (TIADCs) for CMOS technology.[3]

He subsequently earned two Master's degrees: one in Electrical Engineering from the Universidade Federal do Paraná and another from the Faculty of Electrical Engineering and Information Technology at the Technische Hochschule Ingolstadt (THI) in Germany. He also holds an MBA from the Escola de Administração de Empresas de São Paulo (EAESP) at Fundação Getulio Vargas (FGV) in Brazil.

He is currently pursuing a Doctor's degree in Informatics at THI.[2] His international experience includes research stays facilitated by programs like AWARE at THI.[11]

Career and Research at THI

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At the Technische Hochschule Ingolstadt (THI), de Lima Luiz works as a Research engineer (Wissenschaftlicher Mitarbeiter) while pursuing his doctorate as a PhD Candidate within the THI Doctoral Center for AI/Computer Science.[1][2] His research spans several areas at the intersection of AI, mobility, and engineering.

  • AImotion - AI Mobility Node Ingolstadt: He is an active member of the AImotion research initiative,[5] contributing specifically to the "Spoken and Natural Language Understanding" team led by Prof. Dr. Munir Georges.[6]
  • CARISSMA Institute of Safety in Future Mobility (C-ISAFE): His primary affiliation is with C-ISAFE,[1] THI's research institute dedicated to vehicle safety, focusing on accident prevention, automated driving safety, and occupant protection.[12]
  • International Coordination: He participated in THI's AImotion initiative with partners in Brazil.[4]

His research focuses on applying AI and ML techniques to practical engineering problems:

  • AI/ML Model Performance: Analyzing the computational performance (speed, power consumption) of CNNs and LLMs across different hardware platforms (CPU, GPU, FPGA, HPC) relevant to automotive systems. This includes considering constraints such as GDPR compliance in data processing.[7]
  • Natural Language Processing (NLP): Developing frameworks for dialogue summarization using multi-modal (audio/text) data, evaluating text segment significance, assessing LLM capabilities in educational contexts (e.g., question answering, topic segmentation), and using pattern-based parsing to extract information from legal documents like the German traffic code to build knowledge graphs.[8]
  • Automotive Safety and ITS: Research aligned with C-ISAFE's goals, likely involving AI applications for anticipatory safety systems or automated driving functions. He has also been involved in disseminating results from EU-funded projects like SAFE-UP, which focuses on improving safety for vulnerable road users in mixed traffic scenarios.[13]

AI for Emergency Response Drones

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de Lima Luiz is involved in the development of AI systems for a pilot project using drones (UAVs) for emergency response in the Rhön-Grabfeld district, Bavaria. This project, referred to as "RescueFly" or "Schnellere Hilfe mit Drohnen und Künstlicher Intelligenz," aims to provide dispatch centers and first responders with real-time aerial imagery and AI-driven analysis of accident scenes.[14][15] The AI component, developed at THI, performs tasks like object recognition (identifying vehicles, people, obstacles) from the drone's video feed to quickly assess the situation.[14][15] De Lima Luiz has been specifically involved in demonstrating this AI technology to project partners, such as the Bavarian Red Cross (BRK).[9]

Publications

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Anderson de Lima Luiz has authored or co-authored research papers, conference contributions, and project reports. A selection includes:

  • de Lima Luiz, A. (2019). Circuito digital compensador de erros de relógio de conversores analógico-digitais entrelaçados aplicado à tecnologia CMOS 130 nm [Digital circuit for clock error compensation in interleaved analog-to-digital converters applied to 130 nm CMOS technology] (Graduation Thesis). Universidade Federal do Paraná.[3]
  • de Lima Luiz, A.; Zimmer, A.; Brandmeier, T.; Lolis, L. H. A. (2023). "Performance analysis of CNN speed and power consumption among CPUs, GPUs, and an FPGA for EU GDPR 2016/679 compliant automotive applications". ResearchGate. [7] * de Lima Luiz, A.; Boddu, R.; Georges, M. (Anticipated 2025). "Evaluating Snippet Significance: A Framework for Audio and Text-Based Dialogue Summarization". Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).[8] * de Lima Luiz, A.; Kurlekar, S. V.; Georges, M.; Grawunder, S. (Anticipated 2025). "Scalable engine and the performance of different LLM models in a SLURM based HPC architecture". Elektronische Sprachsignalverarbeitung (ESSV) Conference / Studientexte zur Sprachkommunikation.[8]
  • Boddu, R.; de Lima Luiz, A.; Georges, M.; Grawunder, S. (Anticipated 2025). "Significance scoring for summarizing lecture recordings: a multi-modal perspective". Elektronische Sprachsignalverarbeitung (ESSV) Conference / Studientexte zur Sprachkommunikation.[8]
  • Multiple Scientific Initiation Project Reports (UFPR, 2016–2018) concerning clock error compensation in TIADCs, co-authored with L. H. A. Lolis.[3]

References

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  1. ^ a b c d e f "Anderson de Lima Luiz". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  2. ^ a b c "Promotionszentrum KI/Informatik". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  3. ^ a b c d e f g h i "Produção". GICS UFPR. Retrieved April 28, 2025.
  4. ^ a b "Recap 2020/21 - AWARE Newsletter 7th Edition" (PDF). Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  5. ^ a b "Anderson de Lima Luiz, M.Eng". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  6. ^ a b "Our Team - Spoken and Natural Language Understanding". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  7. ^ a b c "Performance analysis of CNN speed and power consumption among CPUs, GPUs, and an FPGA for EU GDPR 2016/679 compliant automotive applications". Retrieved April 28, 2025.
  8. ^ a b c d e "Munir Georges (0000-0002-5542-149X)". ORCID. Retrieved April 28, 2025.
  9. ^ a b "Bundesweites Pilotprojekt in Rhön-Grabfeld: Drohne versorgt Ersthelfer mit Informationen über das Unfallgeschehen [Nationwide pilot project in Rhön-Grabfeld: Drone supplies first responders with information about the accident scene]". Main-Post. June 14, 2023. Retrieved April 28, 2025.
  10. ^ a b "Anderson de Lima Luiz‬ - ‪Google Acadêmico". Google Scholar. Retrieved April 28, 2025.
  11. ^ "Anderson's Research Stay at THI - AWARE". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  12. ^ "CARISSMA". Technische Hochschule Ingolstadt. Retrieved April 28, 2025.
  13. ^ "A shared vision to tackle shared road safety issues - SAFE-UP 4th Newsletter" (PDF). Squarespace. Retrieved April 28, 2025.
  14. ^ a b "Schnellere Hilfe mit Drohnen und Künstlicher Intelligenz: Bundesweit einmaliges Projekt im Landkreis Rhön-Grabfeld [Faster help with drones and artificial intelligence: Nationwide unique project in the Rhön-Grabfeld district]". BRK Kreisverband Rhön-Grabfeld. June 14, 2023. Retrieved April 28, 2025.
  15. ^ a b "Drohnen könnten bald Leben retten [Drones could soon save lives]". Neue Presse (Coburg). June 15, 2023. Retrieved April 28, 2025.
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