Principal Investigator
Prof. Archana Venkataraman
Archana Venkataraman is a John C. Malone Assistant Professor in the Department of Electrical and Computer Engineering at JHU. She received her BS, MEng, and PhD in Electrical Engineering from MIT in 2006, 2007, and 2012, respectively. She was a postdoctoral associate at both MIT and Yale prior to arriving at JHU. Dr. Venkataraman is also affiliated with the Malone Center for Engineering in Healthcare and the Mathematical Institute for Data Science. Curriculum Vitae; Twitter
Graduate Students
Niharika Shimona D’Souza
Shimona is currently a third year PhD student in the ECE Department at JHU. Prior to this, she obtained her Bachelor’s degree (B. Tech, Hons.) from the Indian Institute of Technology, Kharagpur in Electrical Engineering, along with a minor in Electrical and Electronics Communication Engineering. Her research interests lie at the intersection of Machine Learning, Signal and Image Processing, and Medical Computer Vision. Currently, she is working on the applications of Numerical Optimization Techniques for multimodal integration of resting state fMRI, structural DTI, and behavioral assessment for characterizing neurological disorders.
Jeff Craley
Jeff is currently a PhD student in the ECE department at JHU. He received his M.S. from Boston University in 2015. He earned a B.S. and B.A. from Virginia Tech in aerospace engineering and English literature, respectively, in 2011. His research focuses on signal processing and machine learning for modeling time series medical signals.
Naresh Nandakumar
Naresh is a second year PhD student in the Electrical and Computer Engineering Department at JHU. He received his bachelor’s degree at Vanderbilt University. His technical focus is in applied machine learning and statistical modeling. His research current projects involve fMRI analysis of pathological cases and functional connectomics of the brain. He is the social and professional development chair of his department in the graduate student association. Naresh also enjoys playing chess, tutoring, and being outdoors. He is always eager to talk to prospective students or collaborators, please email him at: nn[email protected].
Sayan Ghosal
Sayan is a first year doctoral student in the Department of Electrical and Computer Engineering at JHU. His current research focuses on functional connectivity analysis of the latent brain networks of Schizophrenia patients using fMRI. Prior coming to JHU he graduated with First Class Honors from the Department of Electronics and Telecommunication Engineering at Jadavpur University. During his undergrad he was involved in a number of research projects at Jadavpur University, India and University of Alberta, Canada. Sayan is deeply passionate about machine learning, artificial intelligence, human computer interactions and its application in healthcare and different clinical applications. Learn More…
Ravi Shankar
Ravi is currently a PhD student in the ECE Department at JHU. Before joining JHU, he received his bachelors (B. Tech) from IIT Guwahati majoring in Electrical and Electronics Engineering. His undergraduate thesis was on keyword spotting and detection for low resource languages. His current research focuses on utilizing techniques tools from signal processing and machine learning to analyze and manipulate speech data. In particular, he is working on understanding what aspects of human speech affect its perception of emotion. Also, he is working on developing algorithms to morph speech between different emotions without changing its linguistic content. Ravi also enjoys playing tennis and soccer in his free time.
Evan Yu
Evan is currently a Master’s student in the BME department at JHU. He received his BS in Biomedical Engineering from The University of Texas at Austin (UT). His current project involves predictive modeling of Acute Kidney Injury (AKI) in cardiac surgery patients.
Yi-Te Hsu
Yi-Te is a Master’s student in the CS department at JHU. His current project involves sequence-to-sequence models for emotion conversion in speech. Before coming to JHU, he focused on model compression and acceleration for deep neural networks. He also worked on healthcare projects for detecting pathological voice and identifying Alzheimer’s disease. His interests include machine learning and its application. His personal website: https://eederhsu.github.io/
Undergraduate Students
Yuta Kobayashi
Yuta is an undergraduate student at JHU majoring in CS and Biomedical Engineering. His current project involves image analysis of the enteric nervous system.
Narayani Wagle
Narayani is an undergraduate student at JHU double majoring in CS and Neuroscience at JHU. She is currently working on computational methods to map the Enteric Nervous System.
Danielle Currey
Danielle is a JHU undergraduate student majoring in CS. She is currently working on developing deep learning models for seizure detection in EEG.
Arjun Somayazulu
Arjun Somayazulu is an undergraduate student at JHU majoring in CS and Biomedical Engineering. He is currently working on computational tools and methods to characterize the emotional content of speech.
Yu-Chung Peng
Yu-Chung is an undergraduate student at JHU majoring in CS. His current project involves predictive modeling of Acute Kidney Injury (AKI) in cardiac surgery patients.
Alumni
Kavi Wick (Summer 2020)
Kavi was an REU student working on machine learning algorithms to detect spinal cord injury from fMRI
Current Position: Undergraduate Student at Rutgers University
Alexandra Londono (May – July 2020)
Alexandra was a visiting student sponsored by the Colciencias in Colombia. Her project was to predict neurological deficits using resting-state fMRI.
Current Position: Research Assistant, Colombia
Jacob Sager (2017 – 2019)
Jacob was an ECE undergraduate working on emotional speech recognition and signal processing.
Current Position: Software Engineer at FiscalNote
Rohan Nandkarni (2018 – 2019)
Rohan was a BME Master’s student working on estimating the lower limit of cerebral autoregulation.
Current Position: Researcher in the Imaging for Surgery, Therapy and Radiology Lab, JHU
Duha Awad (Summer 2018)
Duha was an REU student working on machine learning algorithms to detect epileptic seizures.
Current Position: Graduate Student at the University of Maryland, College Park
Collaborators
Dr. Stewart Mostofsky
Director, Center for Neurodevelopmental Medicine & Research, Kennedy Krieger Institute
Dr. Mary Beth Nebel
Assistant Professor of Neurology, Kennedy Krieger Institute
Dr. Emily Johnson
Assistant Professor, Department of Neurology & Epilepsy Center, Johns Hopkins School of Medicine
Dr. Haris Sair
Assistant Professor, Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine
Dr. Brian Caffo
Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Dr. Charles Brown
Associate Professor, Department of Anesthesiology, Johns Hopkins School of Medicine
Dr. Subhash Kulkarni
Assistant Professor, Department of Gastroenterology, Johns Hopkins School of Medicine
Dr. Brian Bush
Assistant Professor, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine
Dr. Raheel Ahmed
Assistant Professor of Neurological Surgery, Director of Pediatric Surgical Epilepsy
University of Wisconsin, Madison
Dr. David Hsu
Director of Pediatric Epilepsy, Professor of Neurology, Department of Neurology
University of Wisconsin, Madison
Dr. Jim Pekar
Research Coordinator, F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
Dr. Ann Choe
Assistant Professor, Department of Neurology, Johns Hopkins School of Medicine
Dr. Raman Arora
Assistant Professor, Department of Computer Science, Johns Hopkins University
Dr. Anand Mattay
Director of the Neuroimaging Core, Lieber Institute for Brain Development
Dr. Jay Pasricha
Professor, Director of the Center for Neurogastroenterology, Johns Hopkins School of Medicine
Dr. Kevin Pelphrey
Director of the Autism and Neurodevelopmental Disorders Institute, George Washington University