Ashutosh Singh

About Me

I am a final-year Ph.D. candidate in Computer Engineering at Northeastern University, advised by Prof. Deniz Erdogmus in the Cognitive Systems Lab. My research sits at the intersection of machine learning, signal processing, and dynamical systems, with a focus on building structured representations for spatio-temporal data that are principled, interpretable, and practically useful. My work spans non-stationary time series modeling, data assimilation, physics grounded motion representation learning, and generative modeling. I have also collaborated with Prof. Lisa Feldman Barrett on fMRI-based emotion modeling and with Prof. Tales Imbiriba (UMass Boston) on time series modeling and physics based ML. During my PhD I’ve also pursued industrial collaborations via internships at Sony AI (2024-2025), MERL(2024), Amgen(2025), and Ford Motor(2020). I am currently on the job market, seeking ML Research Scientist and Applied Scientist roles where rigorous methodology meets real-world impact. Outside of research, I enjoy chess, geopolitics, manga, and anime.

Affiliations

• SPIRAL — Signal Processing, Imaging, Reasoning and Learning Lab, Northeastern University.
• PEN Cluster — Psychologists, Engineers, and Neuroscientists at Northeastern, focused on brain-body-behavior modeling.

Research Interests

• Representation Learning: Self-supervised learning, JEPA
• Generative Modeling: Diffusion models, VAEs, physics-conditioned motion synthesis
• Dynamical Systems & Control: Neural operators, Koopman theory, data assimilation, physics-informed ML
• Spatio-temporal Modeling: Skeleton-based action recognition, temporal point processes, time series forecasting
• Healthcare & Behavior Analysis: Biosignal processing, clinical video understanding, autism behavior modeling, fMRI analysis

News

• [May 2025] Awarded Northeastern LEADERs fellowship! Started LEADERs research internship at Amgen.
• [Sept 2024] Started my internship at Sony AI.
• [May 2024] Started my internship at Mitsubishi Electrical Research Laboratories (MERL)
• [Apr. 2024] Our paper on epileptogenesis and multi modal fusion got accepted at to CMIG.
• [Apr. 2024] My collaborator presented poster of our work in SANS 2024.
• [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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