Leslie M. Collins

Leslie M. Collins

Professor of Electrical and Computer Engineering

Leslie M. Collins earned the BSEE degree from the University of Kentucky, and the MSEE, and PhD degrees from the University of Michigan, Ann Arbor. From 1986 through 1990 she was a Senior Engineer at Westinghouse Research and Development Center in Pittsburgh, PA. She joined Duke in 1995 as an Assistant Professor and was promoted to Associate Professor in 2002 and to Professor in 2007. Her research interests include physics-based statistical signal processing, subsurface sensing, auditory prostheses and pattern recognition. She is a member of the Tau Beta Pi, Sigma Xi, and Eta Kappa Nu honor societies. Dr. Collins has been a member of the team formed to transition MURI-developed algorithms and hardware to the Army HSTAMIDS and GSTAMIDS landmine detection systems. She has been the principal investigator on research projects from ARO, NVESD, SERDP, ESTCP, NSF, and NIH. Dr. Collins was the PI on the DoD UXO Cleanup Project of the Year in 2000. As of 2015, Dr. Collins has graduated 15 PhD students.

Appointments and Affiliations

  • Professor of Electrical and Computer Engineering
  • Professor of Biomedical Engineering
  • Faculty Network Member of The Energy Initiative
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information

Education

  • Ph.D. University of Michigan at Ann Arbor, 1995
  • M.Sc.Eng. University of Michigan at Ann Arbor, 1986
  • B.S.E. University of Kentucky at Lexington, 1985

Research Interests

Leslie M. Collins' research interests include physics-based statistical signal processing, subsurface sensing, auditory prostheses and pattern recognition.

Courses Taught

  • BME 493: Projects in Biomedical Engineering (GE)
  • ECE 280L9: Signals and Systems - Lab
  • ECE 280L: Introduction to Signals and Systems
  • ECE 391: Undergraduate Research in Electrical and Computer Engineering
  • ECE 392: Undergraduate Research in Electrical and Computer Engineering
  • ECE 493: Undergraduate Research in Electrical and Computer Engineering
  • ECE 494: Undergraduate Research in Electrical and Computer Engineering
  • ECE 582: Digital Signal Processing
  • ECE 899: Special Readings in Electrical Engineering
  • ENERGY 395-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 395: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 396-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 396: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 795-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 795: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 796-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 796: Connections in Energy: Interdisciplinary Team Projects

In the News

Representative Publications

  • Czarnek, N; Morton, K; Collins, L; Tantum, S; Throckmorton, C, The impact of time on seizure prediction performance in the FSPEEG database., Epilepsy & Behavior, vol 48 (2015), pp. 79-82 [10.1016/j.yebeh.2015.04.058] [abs].
  • Throckmorton, CS; Mayew, WJ; Venkatachalam, M; Collins, LM, Financial fraud detection using vocal, linguistic and financial cues, Decision Support Systems, vol 74 (2015), pp. 78-87 [10.1016/j.dss.2015.04.006] [abs].
  • Manandhar, A; Morton, KD; Collins, LM; Torrione, PA, A Nonparametric Bayesian Approach to Multiple Instance Learning, International Journal of Pattern Recognition & Artificial Intelligence, vol 29 no. 03 (2015), pp. 1551001-1551001 [10.1142/S0218001415510015] [abs].
  • Manandhar, A; Torrione, PA; Collins, LM; Morton, KD, Multiple-instance hidden markov model for GPR-based landmine detection, IEEE Transactions on Geoscience and Remote Sensing, vol 53 no. 4 (2015), pp. 1737-1745 [10.1109/TGRS.2014.2346954] [abs].
  • Manandhar, A; Torrione, PA; Collins, LM; Morton, KD, Multiple-Instance Hidden Markov Model for GPR-Based Landmine Detection, IEEE Transactions on Geoscience and Remote Sensing, vol 53 no. 4 (2015), pp. 1737-1745 [10.1109/TGRS.2014.2346954] [abs].