David A. Bader

David A. Bader is a Distinguished Professor and founder of the Department of Data Science at NJIT's Ying Wu College of Computing, and Director of the Institute for Data Science. He holds a Ph.D. in Electrical Engineering from the University of Maryland (1996), an M.S. in Electrical Engineering from Lehigh University (1991), and a B.S. in Computer Engineering from Lehigh University (1990). His research focuses on large-scale graph analytics, parallel computing, and high-performance computing frameworks like Arachne and Arkouda.

Dr. Bader has received prestigious awards including the IEEE Sidney Fernbach Award, ACM Fellowship, SIAM Fellowship, and AAAS Fellowship. His work emphasizes scalable algorithms for big data, quantum computing applications, and real-time graph processing systems. He leads research on dynamic graph algorithms, GPU optimization, and interdisciplinary data science projects.

• Education:
  • Ph.D., Electrical Engineering, University of Maryland, 1996
  • M.S., Electrical Engineering, Lehigh University, 1991
  • B.S., Computer Engineering, Lehigh University, 1990

His research interests span parallel computing paradigms, graph theory applications, and high-performance computational systems. Recent work includes quantum interior point methods, scalable graph analytics frameworks, and efficient string processing algorithms. He actively contributes to open-source projects like GraphBLAS and LAGraph.

• Key Awards:
  • 2022 Innovation Hall of Fame, University of Maryland
  • 2021 ACM Fellow
  • 2021 IEEE Sidney Fernbach Award
  • 2010 IEEE Fellow

Bader’s lab focuses on advancing big data infrastructure and has developed tools for large-scale graph analysis, including Arachne and Arkouda. His collaborations bridge academia and industry, addressing challenges in cybersecurity, climate modeling, and bioinformatics.