I am a graduate student and Research Assistant at the Department of CSE, at Texas A&M Univeristy, College Station advised by Dr. Theodora Chaspari, Assistant Professor, Texas A&M Univeristy. My research interest lies in trust factors of explainable AI and machine learning.
Analyzing trust factors of explainable AI for a deceptive speech prediction task and finding the relation between behavioral and neural measures of trust in collaboration with Texas A&M University, Columbia University and Hunter College..
Building robust machine learning models to track parent-child well-being from ambulatory data in collaboration with University of Southern California, Florida International University and Texas A&M University.
Building and evaluating LLM based training system for space-craft cost estimation in collaboration with Department of Aerospace Engineering, Texas A&M University.
Exploring trust in human-AI collaboration for speech-based data analytics task and building up an AI-assisted decision making frame work for detecting public speaking anxiety under supervision of Dr. Theodora Chaspari, Assistant Professor, Texas A&M University
Developed a machine learning model to detect people with Parkinson’s disease using brain signals under supervision of Dr. A. B. M. Alim Al Islam, Professor, Bangladesh University of Engineering and Technology
Detection and Correction of batch effect using machine learning under supervision of Dr. Md. Shamsuzzoha Bayzid, Assistant Professor, Bangladesh University of Engineering and Technology and Dr. Mahfuza Sharmin, PostDoctoral Research fellow, Stanford University.
Developed a novel lossless compression algorithm based on the heuristics of naive bayes theorem to compress multiple sequence aligned files under supervision of Dr. Md. Shamsuzzoha Bayzid
Abdullah Aman Tutul, Ehsanul Haque Nirjhar, Theodora Chaspari.
Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech.
ICMI’21: Proceedings of the 2021 International Conference on Multimodal Interaction, October 2021(Acceptance rate 30%), Pages 288-296
Md Ashiqur Rahman, Abdullah Aman Tutul, A. B. M. Alim Al Islam
Solving The Maze of Diagnosing Parkinson’s Disease based on Portable EEG sensing to be Adaptable to Go In-The-Wild.
7th NSysS 2020 7th International Conference on Networking, Systems and Security, December 2020,(Acceptance rate 27%), Pages 63-67,(Best Paper Award)
Md Ashiqur Rahman, Abdullah Aman Tutul, Sifat Md Abdullah, Md. Shamsuzzoha Bayzid
CHAPAO: likelihood and hierarchical reference based representation of biomolecular sequences and applications to compressing multiple sequence alignments.
PLOS ONE 2022
Md Ashiqur Rahman, Abdullah Aman Tutul, Mahfuza Sharmin, Md. Shamsuzzoha Bayzid
BEENE: Deep Learning based Nonlinear Embedding Improves Batch Effect Estimation.
Bioinformatics 2023
Abdullah Aman Tutul, Theodora Chaspari, Sarah Ita Levitan, Julia Hirschberg
Human-AI Collaboration for the Detection of Deceptive Speech.
ACII LBR (Affective Computing + Intelligent Interaction Late Breaking Results) 2023
Abdullah Aman Tutul, Ehsanul Haque Nirjhar, Theodora Chaspari.
Investigating Trust in Human-AI Collaboration for a Speech-based Data Analytics Task.
Taylor & Francis, International Journal of Human-Computer Interaction 2023
Adela C. Timmons, Abdullah Aman Tutul , Kleanthis Avramidis, Jacqueline B. Duong, Kayla E. Carta, Sierra N. Walters, Grace A. Jumonville, Alyssa S. Carrasco, Gabrielle F. Freitag, Daniela N. Romero,1 Matthew W. Ahle, Jonathan S. Comer, Shrikanth S. Narayanan, and Theodora Chaspari.
Developing Personalized Algorithms for Sensing Mental Health Symptoms in Daily Life.
Nature Digital Medicine
Md Maklachur Rahman, Abdullah Aman Tutul, Ankur Nath, Lamyanba Laishram, Soon Ki Jung, Tracy Hammond
Mamba in vision: A comprehensive survey of techniques and applications.
ACM Computing Surveys
Abdullah Aman Tutul, Gabriel Apaza, Joanna Joseph, Alejandro Salado, Daniel Selva, Theodora Chaspari
Evaluating the role of large language model-based conversational agents in supporting complex learning: Insights on user experience and learning benefits.
International Journal of Artificial Intelligence in Education
Current CGPA: 4.00/4.00
Courses Taken: Analysis of Algorithms, Deep Learning, Machine Learning, Data Visualization, Software Engineering, Computer Architecture, Natural Language Processing, Pattern Analysis
CGPA: 3.94/4.00
Role: Improved the representation for entity linking task..
Role: Developed a contextual biasing model for few shot hot fixing in Automatic Speech Recognition.
Courses Instructed: Database Management System Theory, Database Management System Lab, Numerical Methods, Digital Logic Design Lab, Advanced Programming Lab, Theory of Computation, Digital System Design Lab, Assembly Language Programming Lab, Object Oriented Programming Lab