Seminars and Presentations

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Presenter Title Date
Saroj Panda Energy-Efficient Edge Computing Computation Offloading using DVFS and Q-Learning for Time-Critical IoT Applications - Thesis Proposal 08-18-2021
Yunfeng Shangguan Novel Metrics for Evaluation of Unsupervised Learning Consistency with Applications in Ensemble Clustering - Thesis proposal 07-28-2021
Deepesh Ramegowda Wasserstein Based Feature-Map Knowledge Transfer to Improve the Performance of Small Deep Neural Networks - Thesis Proposal 07-06-2021
Yihong Chen Tensor-based Lyapunov Control Strategy for Mobile Neural Networks Cloud Offloading - Thesis Proposal 05-13-2021
Hang Yu A Deep Meta Computation Model for Heterogeneous Data Learning - Thesis Proposal 05-13-2021
Deepak Ramegowda Extension of Energy-Efficient DVFS Techniques with Reinforcement Learning to Handle Mixed Tasksets in Real-Time Embedded Systems - Thesis Defense 05-10-2021
Priyanka Addagudi Question and Answer System for Impact of Social Determinants of Health on COVID-19 - Thesis Proposal 03-02-2021
Deepak Ramegowda Extension of Energy-Efficient DVFS Techniques with Reinforcement Learning to Handle Mixed Tasksets in Real-Time Embedded Systems - Thesis Proposal 11-10-2020
Bryan Ewenson Machine Learning Design: Optimizing Performance and Stability with Novel Validation and Evaluation Techniques- Thesis Defense 10-30-2020
Mir Ashraf Uddin Reinforcement Learning-Based Dynamic Slack Sharing DVFS Technique for Real-Time Systems - Thesis Defense 09-08-2020
Zhenchao Ma Support Multi-Mode Tensor Machine for Multiple Classification - Thesis Defense 08-20-2020
Md. Sazzad Hussain The Optimized Block Lanczos Algorithm over GF(2) for Integer Factorization - Thesis Defense 05-07-2020

Mir Ashraf Uddin

Dynamic Slack Sharing DVFS Technique for Real-time Systems Using Reinforcement Learning - Thesis Proposal

04-06-2020
David Mattie A Generalized Tool for Deriving Connectomes in Support of Computational Neuroscience - Thesis Defense 12-20-2019
Zhenchao Ma Support Multi-mode Tensor Machine for Multiple Classification - Thesis Proposal 11-06-2019
Tanjia Akter Querying Graph-based Models using Model Transformations Based on Open World Assumption (OWA) - Thesis Defense 08-12-2019

Bryan Ewenson

Machine Learning Design: Optimizing Performance and Stability with Novel Validation and Evaluation Techniques - Thesis Proposal

02-28-2019

Yousef Abu Baker Canny SLIC to Compute Content-Sensitive Superpixels - Thesis Defense 02-08-2019
Tanjia Akter Transforming Graph-based Models with Open World
Assumption(OWA)
- Thesis Proposal
11-27-2018

David Mattie

A Generalized Tool For Deriving Connectomes in Support Of Computational Neuroscience- Thesis Proposal

11-21-2018

Hui Huang

Power Optimization with Double-Q Reinforcement Learning Method in Multicore Systems - Thesis Defense

08-24-2018
Yousef Abu Baker Canny SLIC to Compute Content-Sensitive Superpixels - Thesis Proposal 05-31-2018
Md. Sazzad Hussain Scalable GNFS Algorithm for Integer Factorization - Thesis Proposal 04-23-2018

Hui Huang

Double-Q Learning-based Power Management - Thesis Proposal

01-29-2018

Altaf Hussain A Framework for Context Aware Service Discovery and Selection - Thesis Defense 06-17-2016
Mokarrom Hossain Inconsistency-tolerant Description Logic Reasoning - Thesis Defense 04-15-2016
Mostafijur Rahman Design and Development of a Tool Suite for Service Enabled Workflow - Thesis Defense 01-27-2016
Fakhruddin Mahbub-ul-Islam Learning Based Power Management for Periodic Real-time Systems - Thesis Defense 01-06-2016
Nasreen Akter Attributed relational graph-based learning of object models for object segmentation - Thesis Defense 12-15-2015