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Ovidiu Daescu

Ovidiu Daescu

Jonsson School Chair
Professor - Computer Science
Department Head
 
972-883-4196
ECSS 4.907
Faculty Homepage
Computing Group
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Professional Preparation

Ph.D. - Computer Science and Engineering
University of Notre Dame - 2000
M.S. - Computer Science and Engineering
University of Notre Dame - 1997
Engineer Diploma - Computer Science and Automation
Technical Military Academy (Burhest, Romania) - 1991

Research Areas

Research Interests:
  • Computational Geometry
  • Algorithms and Optimization
  • Bio-Medical Computing
  • Applied Machine Learning
Statement of Research:
My main research interests are in the areas of geometric computing, bio-medical computing, applied machine learning, and intelligent transportation systems. I am particularly interested in developing computationally efficient algorithms for optimization problems. Some of the emerging computational fields, such as computational medicine and intelligent transportation are dealing with problems that can make use of geometric and graph optimization techniques. My research aims to bring computational geometry and geometric optimization methods to the forefront of other computational fields.

Publications

Most of my publications can be found in DBLP. Some other publications are below - publications
Correlation of histopathology and multi-modal magnetic resonance imaging in childhood osteosarcoma: Predicting tumor response to chemotherapy by Ka Yaw Teo, Ovidiu Daescu, Kevin Cederberg, Anita Sengupta, Patrick Leavey
2022 - publications
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models by Harish Babu Arunachalam, Rashika Mishra, Ovidiu Daescu, Kevin Cederberg, Dinesh Rakheja, Anita Sengupta, David Leonard, Rami Hallas, Patrick Leavey
2019 - publications

Appointments

Department Head
University of Texas at Dallas [2022–Present]
Interim Department Head
University of Texas at Dallas [2021–2022]
Professor
University of Texas at Dallas [2012–Present]
Associate Professor
University of Texas at Dallas [2006–2012]
Assistant Professor
University of Texas at Dallas [2000–2006]
Postdoctorial Research Associate
University of Notre Dame [2000–2000]
Teaching / Research Assistant
University of Notre Dame [1995–2000]
Lecturer
Technical Military Academy, Bucharest, Romania [1992–1995]
Programming Analyst
Technical Military Academy, Bucharest, Romania [1991–1992]
Computing Center

Projects

A general framework for UAV (drone) urban navigation
2023/06 Path planning, save navigation, and tracking of rogue UAVs / drones in urban settings
Osteosarcoma lung nodule classification
2024/09 Classification of pulmonary nodules for assessing osteosarcoma lung metastasis
Machine learning models for digital imaging (MRI/CT/Histopathology) based classification of necrosis/viable tumor/healthy tissue and for predicting cancer treatment efficacy and outcome.
2014/09 Develop state of the art, reproducible, explainable, machine learning models for human tissue classification for various cancer types
Optimal Path Problems with Robotics, Urban, and Medical Applications
2010/09 Finding optimal paths/trajectories for robotic arms and robotic navigation
Optimal weighted links, with applications to oil and gas industry and uneven terrain navigation
2006/09 Finding optimal paths/trajectories in environments partitioned into regions with uneven weights (e.g., drilling through different types of rock and soil)

Additional Information

Professional Memberships
  • Member ACM, ACM SIGBio, IEEE-CS.
  • Member of Computing Research Association Government Affairs Committee 

News Articles

NSF Brings Together Computer Scientists, Industry for New Tech Hub
NSF Brings Together Computer Scientists, Industry for New Tech Hub Computer scientists at UT Dallas hope that funding awarded by the National Science Foundation to create an Industry/University Cooperative Research Center will help the Dallas area become a research hub for technology that enhances human abilities.

Like all I/UCRCs, the iPerform Center for Assistive Technologies to Enhance Human Performancesupports research that interests university and industry members. The center originated with two sites, one at UT Dallas and the other at the University of Texas at Arlington. The NSF awarded UT Dallas $325,000 for five years to create iPerform, with the expectation that researchers involved would attract industry partners that pay a fee to fund precompetitive research and have access to other research at the center. Researchers at UT Arlington have received separate funding to participate in iPerform and also are attracting partners.