Hudanyun Sheng

Master of Science Electrical & Computer Engineering
University of Florida, Gainesville, FL
November 2019

M.S. Thesis: Switchgrass Genotype Classification Using Hyperspectral Imagery

Master of Science Industrial and Systems Engineering
University of Florida, Gainesville, FL
2017

Bachelor of Science in Science and Technology of Optical Information
Tongji University, Shanghai, China
2015

Princess Lyons

Continuing Ph.D. in Cybersecurity

Master of Science Electrical & Computer Engineering
University of Florida, Gainesville, FL
July 2017
M.S. Thesis: Anomaly and Target Detection in Synthetic Aperture Sonar

Bachelor of Science in Electrical & Computer Engineering
University of Missouri, Columbia, MO
2017

James Bocinsky

Hired at the American Express as Software Engineer II

Master of Science Electrical & Computer Engineering
University of Florida, Gainesville, FL
April 2019

M.S. Thesis: Learning Multiple Target Concepts from Uncertain, Ambiguous Data Using the Adaptive Cosine Estimator and Spectral Match Filter

Bachelor of Science Computer Engineering
University of Florida, Gainesville, FL
2017

Shashank Avusali

Hired at the VirtueSense Technologies as Algorithm Software Engineer

Alina Zare’s former student at the University of Missouri

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
July 2018

M.S. Thesis: Three Dimensional Reconstruction of Plant Roots via Low Energy X-ray Computed Tomography

Bachelor of Technology Computer Science & Engineering
Jawaharlal Nehru Techonological University, Hyderabad, India, 2012

Xiaoxiao Du

Hired at the University of Michigan, Ann Arbor, MI as Engineer

Alina Zare’s former student at the University of Missouri

Doctor of Philoshopy Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2017
Ph.D. Thesis: Multiple Instance Choquet Integral For Multi-Resolution Sensor Fusion

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2013
M.S. Thesis: Accounting for spectral variability in hyperspectral unmixing using beta endmember distribution

Changzhe Jiao

Hired at The Xidian Univerisity, Xi’an, China as a Tenure Track Assistant Professor

Alina Zare’s former student at the University of Missouri

Doctor of Philoshopy Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2017
Ph.D. Thesis: Target Concept Learning From Ambiguously Labeled Data

Anand Seethepalli

Hired at The Samuel Roberts Noble Foundation

Alina Zare’s former student at the University of Missouri

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2016
M.S. Thesis: Multi-Camera High-Throughput Plant Root Phenotyping System

Hao Sun

Alina Zare’s former student at the University of Missouri

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2016

M.S. Thesis: Map-Guided Hyperspectral Image Superpixel Segmentation Using Semi-Supervised Partial Membership Latent Dirichlet Allocation

Chao Chen

Hired at Mathworks, Boston, MA

Alina Zare’s former student at the University of Missouri

Doctor of Philoshopy Electrical & Computer Engineering
University of Missouri, Columbia, MO
May 2016
Ph.D. Thesis: Partial Membership Latent Dirichlet Allocation

Piyush Khopkar

Hired at Mathworks, Boston, MA

Alina Zare’s former student at the University of Missouri

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
May 2014
M.S. Thesis: Hyperspectral unmixing and band weighting for multiple endmember sets

Bachelor of Engineering Electronics and Communication Engineering
Mahakal Institute of Technology, Ujjain, MP, India
June 2009

Josephine Dula

Hired at Mathworks, Boston, MA
Alina Zare’s former student at the University of Missouri

Master of Science Electrical & Computer Engineering
University of Missouri, Columbia, MO
December 2012

M.S. Thesis: Landmine classification using possibilistic K-nearest neighbors with wideband electromagnetic induction data