Seminar Schedule
We bring in a variety of speakers to campus to talk about things that might not normally be covered in our classes.
When possible, these seminars are recorded and made available to current students and faculty/staff in this Google Drive folder (requires 1Hope login).
Unless otherwise noted, all seminars take place from 11–11:50 a.m. in VanderWerf room 104.
Fall 2026
The fall seminar schedule is still being determined. This page will be updated as information becomes available.
September 3 — Dr. Charlotte kiesel
Designing Audiovisual Pronunciation Feedback for Second Language Learners
As learners acquire a second language, one of the key challenges to developing new phonetic categories (i.e., pronunciation norms) is overcoming the bias created by the learner's first language system. Prior studies show that audiovisual feedback, where learners are provided with a visual representation of their own speech and that of a native speaker, generally outperform traditional audio-only feedback. Though, how learners interpret and integrate feedback remains poorly understood, limiting our ability to design learner-oriented feedback systems.
In this work, we explore and compare learners’ perspectives on these two types of feedback to address this gap. We designed V(is)owel, an audiovisual interactive vowel chart tool, and compared it with audio-only feedback in a within-subjects pronunciation practice study. We observed two key challenges faced by learners: (1) difficulty interpreting feedback, and (2) physically implementing feedback. Our results suggest that visual feedback is effective because it is actionable, provides a goal, and motivates continued practice compared to oral perception alone.
Dr. Charlotte Kiesel is joining Hope College as an Assistant Professor in Computer Science this autumn. She completed her Ph.D. in Computer Science with a focus on Human-Computer Interaction at the University of Illinois Urbana-Champaign in May. In particular, she enjoys researching how students approach foreign language learning and what tools can support them achieve their goals. Beyond academics, she enjoys crafting, playing video games with her husband, and various outdoor activities such as Ultimate Frisbee, beach volleyball, and kayaking.
september 17— claire lundy
Mobile Development: Platforms, Tools, and Real-World Applications
Mobile development combines software engineering with the unique capabilities and constraints of modern mobile devices. This presentation provides a high-level introduction to building mobile applications, covering development tools, iOS and Android platforms, native and cross-platform frameworks, application architecture, navigation, device hardware and sensors, networking, security, and app lifecycle. Through a live demonstration, including an example of a mobile application communicating with a prosthetic device, we’ll explore how mobile software can connect users to real-world hardware and what makes mobile development different from other areas of software development.
Claire Lundy is a software engineer specializing in mobile application development, with experience building applications that connect software with real-world devices and cloud services. She holds a B.S. in Computer Science from Hope College and enjoys exploring the intersection of software, hardware, and accessible technology.
October 1 — redwan sony
Opening the Black Box: Explainability in Biometric Recognition
Biometrics refers to the automated recognition of individuals based on their
physical or behavioral characteristics, such as face, fingerprint, iris, voice, and
gait. This talk begins with an overview of biometric recognition, including its
two principal modes of operation, verification and identification, and the
typical pipeline of a biometric system, using face recognition as an example.
Contemporary face recognition systems rely predominantly on domain-
specific recognition models which are essentially deep neural networks
trained on cropped, aligned face images during that achieve remarkable
accuracy but function largely as black boxes: they produce a match score
between a pair of face images without any accompanying explanations. In
high-stakes applications, the ability to explain a recognition decision is
therefore an essential next step. Two broad approaches to produce
explanations in face recognition are discussed: saliency-based methods, which
identify the facial regions that most influence the match score, and textual
explanations, which describe the similarities and differences between a pair of
face images in natural language. The talk then examines the emerging use of
foundation models, also known as multimodal large language models
(MLLMs) trained on large-scale multimodal data, to generate such textual
explanations. Although this represents a significant advance toward
transparency, MLLM-generated explanations are prone to hallucination, often
referencing facial attributes absent from the images or making claims not
grounded in visual evidence. The talk concludes by presenting ongoing
research on evaluating the faithfulness of these explanations at the level of
individual claims, with the goal of ensuring that explanations produced by AI
systems are not merely plausible, but trustworthy.
Redwan Sony is a fifth-year PhD student in the Department of Computer
Science and Engineering at Michigan State University, where he is a member
of the iPRoBe Lab advised by Dr. Arun Ross. He holds a bachelor’s degree in
computer science and engineering from the Islamic University of Technology
(IUT), Dhaka, Bangladesh (2017), and a master’s degree in computer science
and engineering from Michigan State University (2023). Before his PhD, he
spent three years as a Lecturer in the Department of Computer Science and
Engineering at IUT. His research focuses on explainability in face recognition
using multimodal large language models, with his dissertation centered on
claim-level faithfulness evaluation of MLLM-generated face recognition
explanations. He has also worked as a Research Scientist Intern at Pindrop
Security, focusing on deepfake detection.
October 15 — Alex Atcheson
Title and abstract to come.
November 19 — Dr. Derek Schuurman
Dr. Schuurman will speak on the topic of Faith and AI. More details to come.
Dr. Schuurman's personal story includes working in industry for several years before returning to academia. His interest in technology began in his early teens playing with ham radio and his first computer. He is also interested in the bigger picture of ethics, perspectives, and issues related to technology using insights from the philosophy of technology in conversation with the Reformed tradition.
He is author of the book Shaping a Digital World and co-author of A Christian Field Guide to Technology for Engineers and Designers, both published by IVP Academic. He is also a regular contributor to the Christian Scholars Review blog, and a columnist for Christian Courier.
Dr. Schuurman is a fellow of the American Scientific Affiliation, a fellow of the International Society for Science and Religion (FISSR), an associate fellow of the Kirby Liang Centre, and was made a senior member of the IEEE. He is a member of the ACM, CES, ACMS, and serves as a book review editor for Perspectives on Science and Christian Faith.
december 3 - TBD
The speaker for this seminar has not yet been determined.
Interested in giving a Seminar?If you have an idea for a seminar that you would like to present, send an email to the department chair person (cschair@hope.edu)
VanderWerf Hall27 Graves PlaceRoom 204Holland, MI 49423
workP. 616.395.7530
cschair@hope.edu