David Bader

Distinguished Professor, Data Science
David A. Bader is a Distinguished Professor and a founder of the Department of Data Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM; a recipient of the IEEE Sidney Fernbach Award; and 2022 Innovation Hall of Fame inductee of the University of Maryland's A. James Clark School of Engineering.
Ph.D.; University of Maryland; Electrical Engineering; 1996
M.S.; Lehigh University; Electrical Engineering; 1991
B.S.; Lehigh University; Computer Engineering; 1990
2022 Innovation Hall of Fame inductee, University of Maryland’s A. James School of Engineering
2021 Fellow, ACM
2021 Meritorious Service Award, IEEE Computer Society
2021 Sidney Fernbach Award, IEEE Computer Society
2021 Honorary Member, National Academy of Inventors
2021 Distinguished Visitors Program, IEEE Computer Society
CS 726 - INDEPENDENT STUDY II
CS 790A - DOCT DISSERTATION & RES
DS 488 - INDEPENDENT STUDY IN DS
DS 701C - MASTER'S THESIS
DS 726 - INDEPENDENT STUDY II
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
DS 701B - MASTER'S THESIS
CS 488 - INDEPENDENT STUDY IN CS
CS 701B - MASTER'S THESIS
CS 725 - INDEPENDENT STUDY I
DS 700B - MASTER'S PROJECT
DS 792B - PRE-DOCTORAL RESEARCH
CS 700B - MASTER'S PROJECT
CS 792 - PRE-DOCTORAL RESEARCH
DS 725 - INDEPENDENT STUDY I
DS 790A - DOCT DISSERTATION & RES
CS 644: INTRODUCTION TO BIG DATA
DS 642: APPLICATIONS OF PARALLEL COMPUTING
Data Science, High Performance Computing, Real-World Analytics
Mohammad Dindoost, Oliver Alvarado Rodriguez, Asif Uddin, Bartosz Bryg, Haotian Yi, Minhyuk Park, George Chacko, Tandy Warnow, David Bader. 2026. "Well-Connected Community Detection at Extreme Scale: Shared- and Distributed-Memory Parallel Algorithms." Applied Network Science.
David Bader, Fuhuan Li, Zhihui Du, Palina Pauliuchenka, Oliver Alvarado Rodriguez, Anant Gupta, Sai Sri Vastav Minnal, Valmik Nahata, Anya Ganeshan, Ahmet Cemal Gundogdu, Jason Lew. 2025. "Cover Edge-Based Novel Triangle Counting." Algorithms, vol. 18, no. 11, pp. 685.
Michael Shewarega, Jakob Troidl, Oliver Alvarado Rodriguez, Mohammad Dindoost, Philipp Harth, Hannah Haberkern, Johannes Stegmaier, David Bader, Hanspeter Pfister. 2025. "MoMo - Combining Neuron Morphology and Connectivity for Interactive Motif Analysis in Connectomes." IEEE.
David Bader, Justin Ellis-JoyceHHMI Janelia Research Campus, Gert-Jan Both, Srinivas C. Turaga, Harinarayan Asoori Sriram, Srijith Chinthalapudi, Zhihui Du. 2025. "Rocket-Crane Algorithm for the Feedback Arc Set Problem." Springer.
Alexander M Dalzell, B. David Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A Bader, Nikitas Stamatopoulos, Martin J. A. Schuetz, Fernando G.S.L. Brandão, Helmut G. Katzgraber, William J. Zeng. 2023. "End-to-end resource analysis for quantum interior point methods and portfolio optimization." PRX Quantum, vol. 4, no. 4, pp. 040325.
Zhihui Du, Sen Zhang, David Bader. 2023. "Tunnel: Parallel-inducing sort for large string analytics." Future Generation Computer Systems, vol. 149, pp. 650-663.
"LOOM: A Team-of-Agents Architecture for High-Performance Graph Analytics Workflows with Arkouda and Arachne"
IEEE, September, 2026.
"Scaling Exact Substructure Extraction Beyond the Five-Vertex Graphlet Wall"
IEEE, September, 2026.
"MoMo - Combining Neuron Morphology and Connectivity for Interactive Motif Analysis in Connectomes"
IEEE, August, 2025.
"Rocket-Crane Algorithm for the Feedback Arc Set Problem"
August, 2025.
"Wedge-Parallel Triangle Counting for GPUs (Best Paper Award Finalist)"
August, 2025.
"A Deployment Tool for Large Scale Graph Analytics Framework Arachne"
September, 2024.
"Using Arkouda/Arachne for Understanding Brain Connectome Graphs"
SIAM, March, 2025.
"GraphBLAS and GraphChallenge Advance Network Frontiers"
SIAM News, October (4th Quarter/Autumn), 2022.
Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett, David Bader. "Interactive Graph Analytics at Scale in Arkouda." In David A. Bader, eds., "Massive Graph Analytics," pp. 549--589. Chapman & Hall / CRC Press, 2022.
David Bader, Kamesh Madduri. "High-Performance Phylogenetic Inference." In Warnow, Tandy, eds., pp. 39--45. Springer International Publishing, 2019.
David Bader, Andrea Kappes, Henning Meyerhenke, Peter Sanders, Christian Schulz, Dorothea Wagner. "Benchmarking for Graph Clustering and Partitioning." In Alhajj, Reda; Rokne, Jon, eds., Springer, 2018.
David Bader. "Engineering Algorithms for Computational Biology." In Kao, Ming-Yang, eds., pp. 628--630. Springer, 2016.
David Bader. "High Performance Algorithm Engineering for Large-Scale Problems." In Kao, Ming-Yang, eds., pp. 914--918. Springer, 2016.
David Bader. "Sorting Signed Permutations by Reversal (Reversal Distance)." In Kao, Ming-Yang, eds., pp. 2026--2028. Springer, 2016.
David Bader. "Massive Graph Analytics." 616 pp. CRC Press / Chapman and Hall, 2022. ISBN 9780367464127.
"Anti-Section Transitive Closure"
IEEE, December, 2021.
"A GraphBLAS implementation of Triangle Centrality"
IEEE, September, 2021.
"Enabling Exploratory Large Scale Graph Analytics through Arkouda"
IEEE, September, 2021.
"K-Truss Implementation in Arkouda (Extended Abstract)"
IEEE, September, 2021.
"Large Scale String Analytics In Arkouda"
IEEE, September, 2021.
"Exploratory Large Scale Graph Analytics in Arkouda"
June, 2021.
"Proceedings of the 20th IEEE International Workshop on High Performance Computational Biology (HiCOMB 2021)"
IEEE Computer Society, May, 2021.
"Proceedings of the 19th IEEE International Workshop on High Performance Computational Biology (HiCOMB 2020)"
IEEE Computer Society, May, 2020.
"Graph Partitioning and Graph Clustering"
American Mathematical Society, 2013.
"Scientific Computing with Multi-core and Accelerators"
Chapman & Hall, 2010.
"Petascale Computing: Algorithms and Applications"
Chapman & Hall, 2007.
"On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing"
The University of Maryland, 1996.
Steering Committee, Workshop on Graphs, Architectures, Programming, and Learning (GrAPL)
Committee Member, 2020
Northeast Big Data Innovation Hub, Seed Fund Steering Committee
Committee Chair, 2020
ACM Transactions on Parallel Computing
Editor, Journal Editor, 2018
The International Heterogeneity in Computing Workshop (HCW) Steering Committee
Committee Member, 2018
IEEE Computer Society, Technical Consortium on High Performance Computing
Committee Member, 2016
SIAM Meeting on Algorithm Engineering and Experiments (ALENEX) Steering Committee
Committee Member, 2012