Industrial and Systems Engineering

Project Title: Risk Scores in Medicine
Department:  Industrial and Systems Engineering
Faculty Mentor: Petar Momcilovic, momcilovic@ufl.edu
Ph.D. Student Mentor(s): N/A
Terms Available: Fall, Spring
Student Level: Sophomore, Junior, Senior, 1 student per semester
Prerequisites:  Calculus, Programming
Credit:  0-3credits via EGN 4912
Stipend: None unless selected for University Scholars
Application Requirements: Basic online application, resume, UF unofficial transcripts, faculty interview, email one pdf file of requirements to Petar Momcilovic, momcilovic@ufl.edu
Application Deadline: Rolling deadline
Website:
N/A
Project Description: Electronic Health Records (EHR) store massive amounts of clinical data that is currently underutilized. The goal of the project is to develop probabilistic classifiers that make effective use of time series data recorded during surgical procedures. This research involves the UF Medical School, and it is partially funded by NIH.

Project Title #1: Networks in Brain Research
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Antony Kocheturov, antrubler@gmail.com
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior; 2 students per semester
Prerequisites:  None, but some knowledge on Data Analysis, and an interest on new subjects will help
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: Many large (and massive) data-sets in neuroscience can be represented as a network. In these networks, certain attributes are associated with vertices and edges. The analysis of these networks often provides useful information about the internal structure of the datasets they represent.  We are working on several networks for the epileptic brain, the Parkinson brain, and in general we use Networks to study brain dynamics.

Project Title #2: Information Theory and Network Robustness
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Arsenios Tsokas, artsokas@gmail.com
Terms Available: Fall, Spring, Summer
Student Level: Junior, Senior; 2 students per semester
Prerequisites:  None, but computer skills will help.
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: A crucial challenge in network theory is the study of the robustness of a network when facing a sequence of failures.  We proposed a novel methodology to measure the robustness of a network to component failures or targeted attacks based on Information Theory, that considers measurements of the structural changes caused by failures of the network’s components providing a dynamical information about the topological damage. The methodology is comprehensive enough to be used with different probability distributions and provides a dynamic profile that shows the response of the network’s topology to each event, quantifying the vulnerability of these intermediate topologies. There are many applications for the smart grid, evacuation and disaster recovery, security, and biomedicine.

Project Title #3: Optimization: New Challenges in Theory and Practice
Department:  Industrial and Systems Engineering
Faculty Mentor: Panagote (Panos) Pardalos, pardalos@ufl.edu
Ph.D. Student Mentor(s): Zdanovskaya Victoria, vik-zdanovskaya@yandex.ru
Terms Available: Fall, Spring, Summer
Student Level: Senior; 1 student per semester
Prerequisites:  mathematics and an interest to learn optimization
Credit:  0-3credits via EGN 4912
Stipend: none unless selected for University Scholars
Application Requirements: Resume, statement of research interest, faculty interview, visit my web page for related work; email all materials in one pdf file to Panagote (Panos) Pardalos, pardalos@ufl.edu
Application Deadline: Any time throughout the year – but beginning of semesters is typically best
Website:
  www.ise.ufl.edu/pardalos
Project Description: Large scale problems in the design of networks, energy systems, medicine and drug design, in finance, and engineering are modeled as optimization problems. Humans and nature are constantly optimizing to minimize costs or maximize profits, to maximize the flow in a network, or to minimize the probability of a blackout in the smart grid.  Due to new algorithmic developments and the computational power of computers, optimization algorithms have been used to solve problems in a wide spectrum of applications in silence and engineering. In our long time effort we try to address new challenges in the theory and practice of optimization with focus on several applications.