about

I am a masters student in Biomedical Engineering at Johns Hopkins University. I'm also a research assistant at the Institute of Computational Medicine, where I work on computational modeling and data analysis, specifically in neuroscience under the supervision of Dr. Sridevi Sarma.

Before coming to hopkins, I worked as a summer researcher at École Polytechnique Fédérale de Lausanne. Under the supervision of Dr. Carl Petersen, I worked on neural circuits for goal directed sensorimotor transformations. During my junior year, I was a visiting student resercher at MIT Media lab, where I worked on time of flight/ultra-fast imaging & its applications in bio-medical engineering with Achuta Kadambi, under the supervision of Dr. Ramesh Raskar.

When I am not in lab, I spend my time rock climbing or biking! If you’re interested, please find my cv here.

philosophy

Human brain is a complex connectome of neurons. While my ancestors believed it as a god's creation, I see it as a complex system which helps us in everyday activities. The "creator" made it so complex that we hardly understand how the simplest of tasks work. Forget human brain, we are decades away from comprehending a mouse brain. I seek to understand how our physical world (brain and body), interacts with the mental world (emotions, behavior, memory etc.). I want to contribute to this endeavor through computational modelling and data analysis. I strongly believe in reproducible research, so all my codes are available online.

research

My research interest lies in developing computational models and analyzing large datasets, typically relating to nervous system. I work on brain & spinal cord modelling to mimic their operation and understand specific functionality. I use mathematical & statistical methods to achieve the same. I am also very keen to work in decision making, memory and learning.

nerve fiber modeling

I’m constructing a mechanistic and reduced model of nerve fiber to test the performance of Spinal Cord Stimulation on effectively blocking the pain signal and relaying the innocuous sensory information to supraspinal centers. We also aim at optimizing the spinal cord stimulation (SCS) parameters to effectively block pain signal propagation without affecting proprioception or mechanoreception.

goal directed sensorimotor transformations

I worked on the neural circuits involved in goal directed sensorimotor transformations under the supervision of Prof. Carl Petersen. Main objective was to analyze the data from the C2 somatosensory barrel cortex of a head restrained mouse while performing a behavioral task. This helps us in understanding how brain evaluate and execute sensorimotor tasks. A research paper is considered for publication in Neurophotonics journal with minor revision.

coded time of flight imaging

Primary intent was to build a Coded Time Of Flight system & ameliorate depth accuracy. I developed an acquisition system for 19k – S3 sensor from PMD Photonics. This involved FPGA design, soft core processor design and optical system development. I authored a instrumental manual for DIY ”Coded ToF Camera”. We captured light as it sweeps through the scene using the concept of time resolved imaging. Future work will explore the applications in transient medical imaging.

human electrophysiology

I have worked on various bio instrumentation projects as a part of my academia and research during my undergraduate years. I applied my skills in circuit design to build bio-signal acquisition systems, and used my signal processing skills to analyze the same. Projects ranged from a ECG circuits & algorithms to emotion detection in autistic children. Most projects were portable systems (wearable technology). Details about these can be found here.

code

As a strong believer in reproducible research, I upload most of my codes and documents online. All my works are on github and can be accessed through this link - GitHub page. I am new to github and constantly try to keep it updated. If you find anything broken or missing, please feel free to contact me.

quick links

dorsal column modeling - github
goal directed sensorimotor transformation - github
coded time of flight imaging - github
old projects - webpage

publications

journal papers

  1. Sadashivaiah V, Sacré P, Guan Y, Anderson WS, Sarma SV; Modeling the interactions between electrical stimulation and sensory induced action potentials in a mammalian nerve fiber. (Submitted)
  2. Kyriakatos A, Sadashivaiah V, Zhang Y, Motta A, Auffret M, Petersen CH; Voltage-sensitive dye imaging of mouse neocortex during a whisker detection task. Neurophoton. 0001;4(3):031204. [link]

conference papers

  1. Sadashivaiah V, Sacré P, Guan Y, Anderson WS, Sarma SV; Electrical neurostimulation of a mammalian nerve fibers: A probabilistic versus mechanistic approach. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, 2017 (Accepted)
  2. Gunnarsdottir K, Sadashivaiah V, Kerr M, Santaniello S, Sarma SV; Using demographic and time series physiological features to classify sepsis in the intensive care unit, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 778-782.[link]
  3. Das A, Swedish T, Wahi A, Moufarrej M, Noland M, Gurry T, Michel EA, Aksel D, Wagh S, Sadashivaiah V, Zhang X, Raskar R; Mobile phone based mini-spectrometer for rapid screening of skin cancer. Proc. SPIE 9482, Next-Generation Spectroscopic Technologies VIII, 94820M (June 3, 2015).[link]
  4. Ramakrishna P K, Rao S, Rao V, Bongale V, Sadashivaiah V; Real Time Non-Invasive Cardiac Health Monitoring System , International Conference on Emergency Medical Service Systems and Innovation & Entrepreneurship in Healthcare, AIIMS, New Delhi, India. 2013.

Dissertations

  1. Towards Pain Control by Modeling the Interactions in a Mammalian Nerve Fiber, Masters. Degree dissertation, Johns Hopkins University. May 2017 [In Prep]
  2. Transient Imaging: Seeing the Unseen, Eng. Degree dissertation, PES University & Massachusetts Institute of Technology. May 2015[link]

contact

vjs [at symbol] jhu [dot] edu

Vijay Sadashivaiah
Institute of Computational Medicine
318 Hackerman Hall
3400 North Charles St
Baltimore, MD 21218

cv

Short(one page) - pdf
Detailed(longer) - pdf