Dr. Feodor F. Dragan
Professor of Computer Science
Feodor F.
Dragan received the M.S. degree in Applied Mathematics and Computer Science from
Moldova State University, in 1985, and the PhD degree in Theoretical Computer
Science from the Belorussian Academy of Sciences, in 1990. He was an Assistant
and then an Associate Professor at the Mathematics and Computer Science
Department of Moldova State University from 1988 to 1999. From 1994 to 1999, he
was on leave of absence and worked in Germany as a Research Associate on a
Volkswagen Foundation (VW) project and on a German Research Community (DFG)
project. He was also awarded a DAAD Research Fellowship (Germany) from 1994 to
1995. During 1999 to 2000, he was a Research Associate at the Computer Science
Department of University of California, Los Angeles. Since August 2000 he has
been with Kent State University and he is currently a Professor of Computer
Science. He
held visiting positions in Germany (Technische Universitaet Berlin), in France (Universite de la Mediterranee, Marseille and Universite
Paris Diderot - Paris 7), in Norway (Universitetet i
Bergen), and in Chile (Universidad de Chile, Santiago).
He has authored more than 140 refereed scientific publications. His research
interests include design and analysis of network algorithms, algorithmic graph
and hypergraph theory, computational geometry, computational biology, VLSI CAD,
combinatorial optimization, discrete convexity and geometry of discrete metric
spaces, distance location problems and operations research, data analysis.
My h-index is 35, my i10-index is 84, my Erdős number is 2 (e.g., Feodor F. Dragan to Dieter Kratsch to Paul Erdős) and the total number of citations of my papers is more than 3480.
Graduates o
PhD 1.
Irina Lomonosov, 2005, Routing Schemes for Special Graph
Classes. 2.
Chenyu Yan, 2007, Approximating Distances in Complicated Graphs by Distances in Simple
Graphs With Applications. 3.
Yang Xiang, 2009, Reachability, Routing and Distance Labeling Schemes in Graphs
with Applications in Networks and Graph Databases. 4.
Muad Abu Ata, 2014, Tree-Like Structure in Graphs and Embedability to Trees. 5.
Arne Leitert, 2017, Tree-Breadth of
Graphs with Variants and Applications 6.
Hend Al-Rasheed, 2018, δ-Hyperbolicity in real-world networks: algorithmic
analysis and implications 7.
Abdulhakeem Mohammed, 2019, Slimness,
thinness and other negative curvature parameters of graphs 8.
Heather Guarnera, 2020, Hyperbolicity,
injective hulls, and Helly graphs o
MS 1.
Rashid Muhammad, 2003, Parallel Voronoi Diagram (co-advised). 2.
Chenyu Yan, 2004, Additive Sparse Spanners for k-Chordal Graphs. 3.
Sudha Elavarti, 2005, Addressing, Distance and Routing in Cubic Systems with Applications in
3D Cellular Networks. 4.
Mutasem Najdawi, 2005, Implementation of Addressing, Distance and Routing Labeling Schemes for
Triangular Systems. 5.
Amit Borwankar, 2005, Nearest Neighbor Embracing Graph (NNEG) as a New Topology for Wireless
Ad-hoc Networks. 6.
George Powell, 2005, Improvement algorithms for an industrial routing problem. 7.
Tran Anh Tuan, 2006, Analysis of two approximation algorithms for the Tree Flow Spanner
Problem. 8.
Raina Siddharth, 2006, Finding a Spanning Tree Minimizing the Maximum Edge Load. 9.
Rajesh Jadhav, 2007, Routing in wireless networks without geometry. 10.
Bafna, Nitin, 2007, Labeling schemes for some location problems on trees. 11.
Viyyure, Udaykiran V, 2008, Frequency assignment in radio
networks: L(3,1,1)-labeling. 12.
Bhaduri, Sudipta, 2008, Maximum cliques and minimum colorings of chordal graphs via minimum
degree orderings. 13.
Rahul Sehgal, 2009, Greedy routing in a graph by aid of its spanning tree: experimental
results and analysis. 14.
Rab Harbart, 2009, Addressing and Distances for Cellular Networks with Holes. 15.
Mayank Ladoia, 2012, Reconstructing Approximate Tree Metrics and Using Them to
Approximate Min-Max Clustering Problem. 16.
Zoltan Karaszi, 2013, Advanced Neural Network Clustering Techniques for Liquid
Crystal Texture Classification (co-advised). 17.
Kovan Mohammed Ali, 2015, Analysis of three localized algorithms for constructing
dominating sets in networks. 18.
Muslem Al-Saidi, 2015, Balanced disk separators and hierarchical tree decomposition
of real-life networks. 19.
Al Thoubi, Asaad Y., 2017, An Analysis of one approximation algorithm for graph
linearization 20.
AL-Baghdadi, Ahmed H., 2017, Computing Top-k Closeness Centrality in Unweighted Undirected
Graphs Revisited 21.
Alwabsi, Nowayer A., 2017, Finding a
Minimum-Width Trounulus Covering a Set of Points on the Plane 22.
Alzaidi, Esraa R., 2017, Experiments on Chordal Graph Hellification 23.
Mike Romeo, 2018, Routing Among
Planetary Bodies o MA 1.
Dwarakanath Raghunathan, 2005, Connected Dominating Set as Backbone
for Ad Hoc Wireless Networks. 2.
Pankaj, Amitabh, 2007, Heuristics for routing in internet-like graphs.
Current
Students 1.
Xinyu Li, PhD Student |