Ashutosh Singh

About Me

I am a 3rd year Ph.D. student in Cognitive Systems Lab, Northeastern University where I am advised by Prof. Deniz Erdogmus. My primary area of interest is in the intersection of Signal Processing, Control and Machine Learning. I’ve always been fascinated by the ease with which humans process information and make decisions. My research involves developing machine learning models that can recognize patterns in time series data to help us understand the behavior of complex systems. My key projects involve designing machine learning models to discover emerging patterns in bio-signals that helps us study human behaviour. I closely collaborate with Prof. Lisa Feldman Barrett to study the emerging patterns in fMRI datasets explaining human behaviour and emotions. I also work with Prof. Mathew Goodwin to develop machine learning models that can help predict psychological state of the patient from their bio-signals, collected using wearable devices.

I received my Masters of Science (M.Sc.) in Electrical and Computer Engineering (ECE) at Northeastern University in May 2021 and Bachelor in Technology (B. Tech.) in Mechatronics (Minor. Robotics) from Manipal Institute of Technology in 2019. Aside from my current research I am extremely passionate about robotics and autonomous vehicle.

During my free time I love to indulge in conversation regarding geo-politics, stock market and chess. I enjoy reading manga or watching anime too.

Affiliation

• PEN- (Psychologists, Engineers, Neuroscientists) Cluster at Northeastern — a nexus of experimental and modeling driven studies of brain and peripheral nervous system and their interactions with the body. At Northeastern University I mainly focus on machine learning and cognitive science.

• SPIRAL- Signal Processing Imaging Reasining and Learning group at Northeastern University.

Research Interests

• Machine Learning: Domain Adaptation, Unsupervised Learning, Subspace Clustering, Multimodal analysis
• Signal Processing: Physics inspired models, Signal Unmixing
• Psychology: Mutli Voxel Pattern Analysis, Multi-Modal Analysis

News

• [Apr. 2024] Our paper on epileptogenesis and multi modal fusion got accepted at to CMIG.
• [Mar.2024] Got awarded PhD network travel grant for poster presentation at ICLR 2024. See you all at Vienna!!
• [Jan. 2024] Our paper on Learning semilinear neural operators got accepted in ICLR 2024.
• [Dec. 2023] Our paper on Wearable Biosensing to Predict Imminent Aggressive Behavior got accepted in journal of JAMA Network Open.
• [Mar. 2023] Our paper about invariant subspace clustering got accepted in ICASSP 2023.
• [May. 2022] Our abstract poster on emotional correlate got accepted in SAS2022.
• [Nov. 2021] Submitted our article on data visualisation tool in F1000Research.
• [Oct. 2021] Our paper on multi voxel pattern analysis got accepted in EMBC 2021.
• [May. 2021] Graduated from MS in ECE and started Ph.D. in CE with Prof. Deniz Erdogmus.
• [Apr. 2021] Succesfully defended my Master’s thesis ““Variation Is the Norm: Brain State Dynamics Evoked by Emotional Video Clips”
• [Aug. 2020] Interned at Ford Motor Company Greenfield labs.

Publications

Services

Conference Reviewers

• IEEE International Conference on Acoustics, Speech and Signal Processing 2023
• IEEE International Workshop on Machine Learning for Signal Processing 2023
• IEEE International Conference on Acoustics, Speech and Signal Processing 2024

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