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Anu Aggarwal

Anu AggarwalAssistant Professor
Electrical Engineering
ET Building 130F


  • MS/PhD: University of Maryland, College Park, MD, 2015
  • BEng: University of Manchester, UK, 2012
  • MPH: Harvard University, Boston, MA, 2007
  • MBBS: Punjabi University, Patiala, India, 2000

​Dr Anu Aggarwal received her MS/PhD from the Department of Electrical and Computer Engineering University of Maryland, College Park, MD in 2015 under Prof Robert W Newcomb. Her research is in the area of Neuromorphic or brain inspired VLSI design and computational neuroscience. She worked on building the hippocampal formation and the lateral superior olive of the brain in silicon. She also came up with a novel sensori-motor model of the hippocampal place cells. The significance of this work is the development of the mathematics of brain, i.e., exploring the information processing principles of the brain which can in turn be used for various applications. Most significant will be developing a processor with the superior information processing capacity (including intelligent functions like memory and intelligence) like the brain but will consume way less power and area as does the brain. She has a range of experience from medicine to neuroscience to electrical engineering. 


  • Assistant Professor, Central Michigan University, July 2017-Present
  • Assistant Professor, California State University, Jan 2017-July 2017
  • Assistant Professor, Texas A & M University, September 2016-Jan 2017
  • SOC Design Engineer, Intel Corporation 2015-16

Working on exploring the principles of information processing by the medial entorhinal cortex of the brain. This area of the brain helps the animal in spatial navigation and space-time stamping of the episodic memories. In 2014, the Nobel Prize in Medicine was awarded to scientists who worked on uncovering the firing patterns of the hippocampal place cells and the medial entorhinal cortex grid cells. Several computational models have been proposed since then to explore this field. However, there is a need to understand how the information from animal motion is translated to firing patterns of the grid cells and the place cells. Exploring and explaining these principles is the focus of her current project.

​She is heading the neuromorphic VLSI and computational neuroscience lab in the E&T department at the university. The lab has facility to design and test VLSI circuits and perform low current (pico amp range) measurements. It is equipped with high bandwidth scopes and logic analyser to capture measurements from a neuromorphic chip or similar VLSI circuits. The computers in the lab are equipped with software to build computational neuroscience models of the brain. 

​Lab Positions
​I am looking for post doc, graduate and undergraduate students to work in my lab. 

Fall 2017
  • EGR 200: Computer aided problem solving in engineering
  • EGR 487: Introduction to VLSI systems

  • Awarded Clark School of Engineering Distinguished Graduate Fellowship by the University of Maryland, USA (2012-13) for pursuing PhD.
  • Awarded prize for being Runner up in the BEngnn degree, University of Manchester, UK, 2009-12. (out of a class of 150 students)
  • Awarded School Project prize by the department of Electrical and Electronic Engineering for the best Final Year Project in BEngnn degree. (2011-12) (out of 150 students)
  • Presidential Scholarship, Harvard University for pursuing MPH (2006-07)

  • Aggarwal, B. Hamilton, 2012 "Training Artificial Neural Networks with Memristive Synapses: HSPICE-Matlab Co-Simulation", Neurel 2012, IEEE International Conference on Neural Networks, Belgrade, Serbia, September, 2012. 
  • A. Aggarwal, 2015, "Neuromorphic VLSI Bayesian integration synapse", the Electronics letters, 51(3):207-209.
  • A. Aggarwal, 2015, "Interview", the Electronic letters, 51(3):192.
  • A. Aggarwal, T. K. Horiuchi, 2015, "Neuromorphic VLSI second order synapse", the Electronics letters, 51(4):319-321.
  • A. Aggarwal, 2015, "VLSI realization of neural velocity integrator and central pattern generator", the Electronics letters, 51(18), DOI: 10.1049/el.2015.0544.
  • Aggarwal, 2015, "Azimuthal Sound Localization with Electronic Lateral Superior Olive", EANN, 2015, Greece, Communications in Computer and Information Science, 517, DOI: 10.1007/978-3-319-23983-5_22.
  • A. Aggarwal, 2015, "The sensorimotor model of the hippocampal place cells", abstract accepted for the Computational Neuroscience Society (CNS) conference, Prague, 2015, BMC Neuroscience, 2015, 16 (Suppl. 1) :P2.
  • A. Aggarwal, 2016, "The sensori-motor model of the hippocampal place cells", Journal of Neurocomputing. <http://dx.doi. org/10.1016/j.neucom.2015.12.044i Neurocomputing>
  • A. Aggarwal, 2016, "Neuromorphic VLSI realization of the Hippocampal Formation", Neural Networks, May;77:29-40. doi: 10.1016/j.neunet.2016.01.011. Epub 2016 Feb 4.
  • A. Aggarwal, 2015, "Neuromorphic VLSI realization of the Hippocampal Formation and the Lateral Superior Olive", Dissertation submitted to the University of Maryland, College Park, MD, USA. doi:10.13016/M2H925.

  • US patent application no. 29588956 filed for the VLSI ring circuit.

​Organizational Memberships
  • Member, the Institution of Electrical and Electronics Engineers (IEEE)
  • Member, American Society for Engineering Education (ASEE)
  • Reviewer for the Journal of Neurocomputing (Elsevier), the BIOCAS conference, the Journal of the Robotics and Automation Society, and the IRAS conference. 

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