ABOUT ME

I am a Ph.D. researcher at the University of Bonn under the supervision of Prof. Dr. Lucie Flek in the Conversational AI and Social Analytics (CAISA) lab. Prior to this, I received a Master’s degree in 2021 in Data Science at the Chemnitz University of Technology as well as a Master’s in 2018 at the University of Erlangen-Nuremberg. I graduated with a Bachelor of Science in Industrial Engineering in 2012.

RESEARCH AREA

My research is focused on bridging the gap between conversational information-seeking, personalization, and evaluation with the long-term goal of instilling human-like communication, subjective reasoning, and commonsense knowledge in machines.

In the first area, I'm looking at how conversational AI systems can better understand and incorporate users' opinions and preferences in conversations. This means developing conversational systems that can engage in personalized discussions and provide relevant information based on individual user characteristics.

The second area focuses on enhancing conversational AI's ability to communicate through storytelling and coherent narratives, which has practical applications in real-world interactive AI systems such as educational communication. By integrating storytelling techniques, my goal is to make conversational agents more engaging and easier to follow.

Lastly, I'm investigating different methods for evaluating conversational systems by comparing automatic approaches with gamification elements, aiming to develop more reliable assessment tools for conversational AI systems.

  • - Conversational Information-Seeking
  • - Narrative Generation and Understanding
  • - Argumentative Text Generation
  • - Commonsense Reasoning
  • - Evaluation for Conversational Systems

NEWS/ UPDATES

  • Web development icon

    Programm Comittee at ACL Workshop

    I'll be a member of the program committee at the workshop on Human-Centered Large Language Modeling at ACL 2024 in Bangkok, Thailand!

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    Delegation Research Visit in US

    I have been selected for a research visit in the US by the LAMARR institute. Looking forward to visiting NLP Labs at Carnegie Mellon University and the University of Pennsylvania.

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    Our paper at SIGDIAL 2023

    I will present our paper: OpinionConv: Conversational Product Search with Grounded Opinions at SIGDIAL in Prague, Czech Republic!

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    Doctoral Researcher

    Started my Ph.D. at the University of Bonn under the supervision of Prof. Dr. Lucie Flek.

SELECTED COLLABORATORS

  • Daniel lewis

    Prof. Dr. Lucie Flek

    She is the head of the Data Science and Language Technology group at the University of Bonn.

  • Jessica miller

    Prof. Dr. Martin Potthost

    He holds the chair of Intelligent Language Technologies at Leipzig University.

  • Emily evans

    X Y

    Dr.

  • Henry william

    X Y

    Dr.

Daniel lewis
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Daniel lewis

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Resume

Education

  1. University of Bonn

    07.2022 — Present

    NATURAL LANGUAGE PROCESSING, Ph.D.

    - Faculty of Computer Science (B-IT)

    Germany, Bonn

  2. Chemnitz University of Technology

    04.2019 — 10.2021

    DATA SCIENCE, M.Sc.

    - Faculty of Mathematics

    Germany, Chemniz

  3. Friedrich-Alexander University Erlangen-Nürnberg

    10.2014 — 09.2018

    INDUSTRIAL ENGINEERING & MANAGEMENT, M.Sc

    - Specialization: Mechanical Engineering and Marketing

    Germany, Erlangen & Nuremberg

  4. Sadjad University of Technology

    09.2008 — 07.2012

    INDUSTRIAL ENGINEERING & MANAGEMENT, B.Sc

    - Specialization: Systems Planning and Analysis

    Iran, Mashhad

Experience

  1. University of Bonn (Bonn)

    01.10.2023 — Present

    - Research Assistant at CAISA Lab under the supervision of Prof. Lucie Flek

  2. Philipps-Universität Marburg (Marburg)

    01.09.2020 — 30.06.2023

    - Research Assistant at CAISA Lab under the supervision of Prof. Lucie Flek

    - Teaching Assistant for lectures:

    . Web & Social Media Mining

    . Introduction to Natural Language Processing

    . Start-up Management

    . Business Intelligence

    . Digital Transformation

  3. Women4Women IT Summer School (Marburg)

    01.07.2022 — 31.08.2022

    - Course Instructor (Volunteer Project)

    Designing a course containing a set of didactic exercises on a humanoid robot (Pepper) for increasing diversity of backgrounds in computer science.

  4. Center for Responsible Digitality (ZeVeDi)

    01.02.2323 — 30.09.2023

    - NLP Researcher - Digitization of Corporate Communications (DidUKom)

    Investigating NLP techniques applied for analyzing discussions in social media for a cross-disciplinary project in the fields of law, philosophy, economics, and social science.

  5. Prudsys (Berlin and Chemniz)

    01.06.2019 — 30.06.2020

    - Working Student - Data Scientis

    I worked on a research project called Dynamic Pricing using Deep Learning. I've used several DL-based solutions such as CNN-LSTM and NCF (Neural Collaborative Filtering) to outperform the classical models for maximizing revenue.

  6. TU Chemnitz (Chemnitz)

    01.04.2020 — 01.10.2021

    - Teaching Assistant for lecture: Applied Statistics with R (Faculty of Mathematics)

    15.10.2019 — 15.02.2020

    - Teaching Assistant for lecture: Intro. to Data Science (Faculty of Mathematics)

  7. FAU Erlangen-Nürnberg (Erlangen and Nuremberg)

    01.02.2018 — 01.08.2018

    - Ontology-based knowledge base management Efficient preprocessing of parts list data

    Development of an efficient and flexible method to automate the preparation of assemblies and structural component data from parts lists as preprocessing for ontology-based further processing using a graphical user interface (GUI) in Python.

  8. INFOMOTION GmbH (Humburg)

    01.09.2017 — 30.04.2018

    - Working Student - Data Analyst

    My focus was on extracting and generating marketing insights from unstructured data such as social media data. I used SAP HANA and Python as the main Tools.

Internship

  1. Miele & Cie. KG (Gütersloh)

    Smart Home

    05.07.2020 — 05.10.2020

    - Research Intern - Natural Language Understanding (NLU) in AI & Data Science Department

    Creating a pipeline to generate a multilingual document-based evaluation corpus in Databricks.

    Testing the evaluation corpus using the pre-trained XLM-RoBERTa Model and visualizing the results.

  2. - Leibniz Information Centre for Economics (Kiel)

    01.07.2026 — 30.09.2016

    - Knowledge Discovery Department, under the supervision of Prof. A. Scherp.

    Design an application to collect, store, and retrieve Facebook data in Python.

Theses

  1. Master

    1.Kiel Institute for World Economy (Kiel)

    TITLE: WHAT DRIVES CHANGES IN ATTITUDES TOWARDS REFUGEES? EVIDENCE FROM SOCIAL MEDIA 2.Conversational AI & Social Analytics Lab (Marburg)

    TITLE: CONVERSATIONAL OPINIONATED QUESTION ANSWERING;GENERATING, MODELING AND EVALUATION

    - Developing a pipeline for generating a conversational opinionated question-answering dataset.

    - Training a dialogue state tracking model to evaluate the dataset in terms of its usefulness

  2. Bachelor

    TITLE: STUDY OF HUMAN RESOURCES PERFORMANCE EVALUATION METHODS

    - General Principles and Processes of Performance Evaluation

    - Human Resources Performance Evaluation

    - Implementation of Performance Evaluation Systems: A Case Study Approach

Language Proficiency

  1. Persion

    Native (Mother tongue)

  2. German

    Professional working proficiency (DSH 2)

  3. English

    Professional working proficiency