12 doctoral students have been selected to receive Spring 2024 Manning College of Information and Computer Sciences Dissertation Writing Fellowships. Each fellowship provides a $16,500 stipend, granted to students who are nearing the end of their dissertation writing and are planning to defend their dissertations and graduate. Students are nominated by their faculty advisors, based on the strength of their dissertations and its significance to computing theory and practice.
DEEP CHAKRABORTY
Advisors: Erik Learned-Miller
“Information-Theoretic Methods for Self-Supervised Learning”
EDMUND CUNNINGHAM
Advisors: Madaline Fiterau and Dan Sheldon
“Uncovering Structure in Data with Generative Models”
IMAN DEZNABI
Advisor: Madalina Fiterau
“Adaptive Deep Learning Models for Personalized Modeling of Heterogeneous Time –series Data”
ZHIQI HUANG
Advisor: James Allan
“Modeling Cross-lingual Knowledge in Multilingual Information Retrieval Systems”
YOUNGWOO KIM
Advisor: James Allan
"Extracting Token-level Semantic Understandings from Text-pair Classification"
YEN-CHIEH LIEN
Advisors: Bruce Croft and Hamed Zamani
“Data Generation for Weakly Supervised Neural Retrieval”
PURVA PRUTHI
Advisor: David Jensen
“Modular Causal Models for Mechanistic Reasoning in Computational Systems”
ASHISH SINGH
Advisor: Erik Learned-Miller
“Source-Free Domain Adaptation of OCR Model”
BIN WANG
Advisor: Prashant Shenoy
“Resource Allocation of Latency Sensitive Applications in Edge Environments”
LINGDONG WANG
Advisors: Ramesh Sitaraman and Mohammad Hajiesmaili
“Deep Learning for Immersive Media Delivery”
KE XIAO
Advisor: Madalina Fiterau
“Domain Knowledge Injection in Deep Neural Networks for Congenital Heart Disease Diagnosis”
PUXUAN YU
Advisor: James Allan
"Leveraging Explanations for Information Retrieval Systems under Data Scarcity"