Team

Leonardo Banh

Academic Staff

Leonardo Banh, M. Sc.

Room:
R09 R02 H42
Phone:
+49 201 18-34023
Email:
X.509 Cert:
user certificate from dfn.de
Consultation Hour:
Flexibel - Anmeldung per Email
Address:
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Lehrstuhl für Wirtschaftsinformatik und Softwaretechnik
Universitätsstr. 9
45141 Essen

Curriculum Vitae:

Berufserfahrung

  • Seit September 2022: Wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik und Softwaretechnik (Lehrstuhlinhaber: Prof. Dr. Stefan Eicker) an der Universität Duisburg-Essen
  • Mai 2021 - August 2022: Wissenschaftliche Hilfskraft am Lehrstuhl für Wirtschaftsinformatik und Softwaretechnik (Lehrstuhlinhaber: Prof. Dr. Stefan Eicker) an der Universität Duisburg-Essen
  • Oktober 2018 - März 2022: Studentische Hilfskraft Erstsemesterbetreuung im Mentoring der Fakultät für Wirtschaftswissenschaften an der Universität Duisburg-Essen
  • Januar 2018 - Februar 2021: Werkstudent bei der HSBC Deutschland

Studium

  • Oktober 2019 - August 2022: Studium der Wirtschaftsinformatik (M. Sc.) an der Universität Duisburg-Essen
    • Masterarbeit: "Assuring Steel Quality with Artificial Intelligence - A Semantic Segmentation Approach"
  • Februar 2021 - Juli 2021: Auslandssemester an der Instituto Superior Técnico, Lissabon
  • Oktober 2016 - Januar 2020: Studium der Wirtschaftsinformatik (B. Sc.) an der Universität Duisburg-Essen
    • Bachelorarbeit: "Enhancing Communication in Collaborative Multi-User Virtual Reality Environments"

Fields of Research:

  • Generative AI
  • Künstliche Intelligenz, insb. Machine Learning und Deep Learning
  • Design Science Research

Publications:

Filter:
  • Wulfert, Tobias; Woroch, Robert; Strobel, Gero; Schoormann, Thorsten; Banh, Leonardo: Unboxing the Role of E-Commerce Ecosystems to Address Grand Challenges. In: AiS (Ed.): ECIS 2023 Research Papers. Kristiansand, Norway 2023. Full textCitationDetails

    The modern world is confronted with grand challenges, such as those codified by the United Nations’ Sustainable Development Goals. As single organizations are often not capable of addressing a broad set of goals on their own, they are increasingly concerned with creating ecosystems. This is also the case in the domain of e-commerce. Owners of focal platforms in e-commerce ecosystems have the power to implement sustainability initiatives and therefore need to be equipped with an overview of possible initiatives and actionable guidance. To unbox how e-commerce ecosystem participants consider sustainability, we conducted a multi-case study with 99 initiatives collected from sustainability reports. We found that (1) sustainability initiatives particularly focus on reducing inequality and managing climate change as well as (2) manufacturers, sellers, and service providers are the most involved ecosystem participants. Based on our findings, we (3) synthesized six categories of sustainability initiatives as measurements.

  • Strobel, Gero; Schoormann, Thorsten; Banh, Leonardo; Möller, Frederik: Artificial Intelligence for Sign Language Translation – A Design Science Research Study. In: Communications of the Association for Information Systems, Vol 52 (2023). Full textCitationDetails

    Although our digitalized society is able to foster social inclusion and integration, there are still numerous communities having unequal opportunities. This is also the case with deaf people. About 750,000 deaf people only in the European Union and over 4 million people in the United States face daily challenges in terms of communication and participation, such as in leisure activities but more importantly in emergencies too. To provide equal environments and allow people with hearing handicaps to communicate in their native language, this paper presents an AI-based sign language translator. We adopted a transformer neural network capable of analyzing over 500 data points from a person’s gestures and face to translate sign language into text. We have designed a machine learning pipeline that enables the translator to evolve, build new datasets, and train sign language recognition models. As proof of concept, we instantiated a sign language interpreter for an emergency call with over 200 phrases. The overall goal is to support people with hearing inabilities by enabling them to participate in economic, social, political, and cultural life.

Courses:

  • Betreuung von Studienprojekten (seit WS 22/23)

Tutored Theses:

Filter:
  • Evaluating Possible Applications of Natural Language Generation in Online Marketing (Bachelor Thesis Business Information Systems)

Memberships:

  • Alumni der Fakultät für Wirtschaftswissenschaften der Universität Duisburg-Essen

Academic Duties:

  • Stellvertrendes Vorstandsmitglied des Instituts für Informatik und Wirtschaftsinformatik (ICB) der Fakultät Wirtschaftswissenschaften (seit Oktober 2022)
  • (Beratendes) Mitglied der Berufungskommission Betriebswirtschaftslehre für die Nachfolge Prof. Dr. Nienhüser - Lehrstuhl für Arbeit, Personal und Organisation (November 2020 - September 2022)
  • Mitglied der Habilitationskommission für Dr. Heiko Hoßfeld (Januar 2022 - September 2022)

Other Duties:

  • Reviewer für die 18. Internationale Tagung der Wirtschaftsinformatik (WI) 2023