Victor Lawrence

Senior Research Scientist

Building: Burchard

Room: 205

Phone: (201) 216-5636

Fax: (201) 216-8246



• Signal processing

• Intelligent communication networks.

Institutional Service
  • IEEE Special Committee Member
Professional Service
  • Special Lecture for US Patent and Trade Organization
  • Special Chair IEEE Foundation Board
Professional Societies
  • NIHF – National Inventors Hall of Fame Fellow
  • NAI – National Academy of Inventore Fellow
  • NAE – National Academy of Engineering NAE Member
  • AT&T-BL – AT&T Bell Laboratories Fellow
  • IEEE – Institute of Electrical and Electronic Engineers Fellow
Selected Publications
Book Chapter
  1. Lawrence, V. (2019). "A Novel Multi-layer Detection Scheme for Diffusion-Based Molecular Communications," (1st Edition ed.). The Netherlands: Springer.
Conference Proceeding
  1. Man, H.; Dai, S.; Lawrence, V.; LaPeruta, T.; Hohil, M. (2021). Unsupervised multi-view object proposal ranking. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III (vol. 11746, pp. 117460K).
  2. Lawrence, V. (2019). ISI Mitigation Using Three Taps FIR Zero-Forcing Technique for Diffusion-Based Molecular Communications. IEEE International Conference on Computational Science and Engineering (CSE), . New York.
  3. Xia, H.; Alshathri, K.; Lawrence, V.; Yao, Y.; Montalvo, A.; Rauchwerk, M.; Cupo, R. (2019). Cellular signal identification using convolutional neural networks: AWGN and Rayleigh Fading Channels. 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 1--5).
  4. Lawrence, V. (2018). Fast Suboptimal Multi-Layer Detection Scheme for Demodulation in Diffusion-Based Molecular Communications. 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), (pp. 122-127). IEEE.
  5. Lawrence, V. (2018). IADSS: Intelligent Agent­ Assisted Decision Support System for Diffusion-Based Molecular Nano Communication Networks. 11th International Conference on Computational Intelligence and Communication Networks . Honolulu HI: CICN.
  6. Lawrence, V. (2018). Generalized Memory-Assisted Adaptive Threshold Detection Scheme for On-OFF-Keying Diffusion-Based Molecular Communications. IEEE International Symposium on Networks, Computers and Communications (ISNCC 2018) . Rome Italy.
  7. Lawrence, V. (2018). Adaptive Batch Training Rule-Based Detection Scheme for On-OFF-Keying Diffusion-Based Molecular Communications. 13th Nanotechnology Materials and Devices Conference . Portland OR: NMDC.
  8. Lawrence, V. (2018). Synchronous Cooperative Relaying Technique for Three-Dimensional Diffusion-Based Molecular Nano Communication Networks. Proceedings of the 12th International Conference on Nano/Molecular Medicine and Engineering, IEEE NANOMED . Honolulu HI: IEEE NANOMED .
  9. Lawrence, V. (2018). Sequential Training-Based Receiver for On-OFF Keying Diffusion-Based Molecular Communications. 18th IEEE International Conference on Nanotechnology (IEEE NANO 2018) . Cork, Ireland: IEEE NANO 2018.
  10. Lawrence, V. (2018). A Novel Reduced Complexity Detection Scheme for ON-OFF-Keying Diffusion-Based Molecular Communications. 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) (pp. 195-200). Southend United Kingdom.
Journal Article
  1. Lawrence, V. (2019). Receiver Techniques for Diffusion-Based Molecular Nano Communications Using an Adaptive Neuro-Fuzzy Based Multivariate Polynomial Approximation. IEEE Transactions on Molecular, Biological and Multi-Scale Communications. IEEE.
  2. Lawrence, V. (2019). "A Novel Oriented Feedback-Multi­ Layer Detection Scheme for ON-OFF-Keying Diffusion-Based Molecular Communications. IAENG Journal.
  3. Lawrence, V. (2018). ARFIS: Adaptive-Receiver­ Based Fuzzy Inference System for Diffusion-Based Molecular Communications . Nanoscience - Bentham Science Publishers . Bentham Science.