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
Naresh is a fifth year PhD student in the Electrical and Computer Engineering Department at JHU. He received his bachelor’s degree at Vanderbilt University. His technical interests lie at the intersection of applied machine / deep learning and graph analysis. His current research projects involve using machine learning applied to neuroimages (fMRI/MRI/DTI) to aid in presurgical planning procedures. 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. Please find his LinkedIn page here.
Sayan is a fourth 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 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.
Deeksha is a first year PhD student in the ECE department at JHU. She received her Bachelor’s degree (B.Tech) in Electronics and Communication Engineering from National Institute to Technology Karnataka, Surathkal. In her undergraduate years, she worked on speech signal processing, deep learning, and computational imaging. She was awarded with Institute Gold medal and Shri Pralhad P Chhabria Award for the best outgoing student in IEEE India Council. She also collaborated with EPFL Switzerland and Pneumoscope, a Switzerland-based start-up, to develop novel machine learning techniques form detecting covid-19 form lung auscultation. Currently, her research focuses on spatio-temporal and effective connectivity analysis of time-series signals with an application to diagnosis of brain disorders. Learn more…
Natalie is a first year PhD student in the Electrical and Computer Engineering department at Johns Hopkins. She received her Bachelor’s Degree in Electrical Engineering and Economics from Rose-Hulman Institute of Technology in Terre Haute, Indiana, and a Masters in EE from the University of Illinois at Urbana-Champaign. Most recently, she worked as a psychiatric neuroimaging data analyst in Dr. Johnathan Posner’s lab at Columbia. Her interests are in multi-modality MR imaging and data alignment for multi-site functional connectomics. In her free time, she enjoys rock climbing and playing music.
Yuta is an undergraduate student at JHU majoring in CS and Biomedical Engineering. His current project involves image registration and segmentation for brain lesions.
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.
Arjun Somayazulu is an undergraduate student at JHU majoring in CS and Biomedical Engineering. He is currently working on computational methods to characterize the emotional content of speech.
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.
Jiasen is an undergraduate student at JHU majoring in Neuroscience. His current project involves predictive modeling of the Enteric Nervous System biology.
Sarah is an undergraduate student at JHU majoring in ECE. Her current project involves predictive modeling of imaging and genetics.
Jeff was a PhD student at JHU working on epileptic seizure detection and localization.
Current Position: Data Scientist at Nference
Niharika was a PhD student at JHU working on predictive connectomics.
Current Position: Research Staff at IBM Research
Danielle was a CS undergraduate student at JHU working on seizure detection and visualization for EEG data.
Current Position: Research Assistant at Beth Israel Deaconess Medical Center
Evan was an MSE student in the BME department at JHU working on predictive modeling of Acute Kidney Injury (AKI) in cardiac surgery patients.
Current Position: PhD student at UT Houston
Yi-Te was an MSE student in the CS department at JHU working on sequence-to-sequence models for emotion conversion in human speech.
Personal Website: https://eederhsu.github.io/
Kavi was an REU student working on machine learning algorithms to detect spinal cord injury from fMRI
Current Position: Undergraduate Student at Rutgers
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 was an ECE undergraduate working on emotional speech recognition and signal processing.
Current Position: Software Engineer at FiscalNote
Rohan was a BME MSE student working on estimating the lower limit of cerebral autoregulation.
Current Position: Researcher in the Imaging for Surgery, Therapy and Radiology Lab, JHU
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
Assistant Professor of Neurological Surgery, Director of Pediatric Surgical Epilepsy
University of Wisconsin, Madison
Assistant Professor, Department of Computer Science, Johns Hopkins University
Associate Professor, Department of Anesthesiology, Johns Hopkins School of Medicine
Assistant Professor, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine
Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Assistant Professor, Department of Neurology, Johns Hopkins School of Medicine
Director of Pediatric Epilepsy, Professor of Neurology, Department of Neurology
University of Wisconsin, Madison
Assistant Professor, Department of Neurology & Epilepsy Center, Johns Hopkins School of Medicine
Assistant Professor, Department of Gastroenterology, Johns Hopkins School of Medicine
Food and Drug Administration (Formerly at LIBD)
Director, Center for Neurodevelopmental Medicine & Research, Kennedy Krieger Institute
Assistant Professor of Neurology, Kennedy Krieger Institute
Professor, Director of the Center for Neurogastroenterology, Johns Hopkins School of Medicine
Research Coordinator, F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute
Director of the Autism and Neurodevelopmental Disorders Institute, George Washington University
Assistant Professor, University of Bari, Italy
Marie Curie Visiting Scientist, Lieber Institute for Brain Development
Assistant Professor, Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine