Useful Links
- Tentative Merit List (Aug 2024 interviews)
- Programme Poster
- Programme Details
- Soft Core Courses
- Frequently Asked Questions
The Core Group
Prof. Prasanta Kumar Ghosh
Convener
Prof. Supratim Ray
DCC Chair
Programme Projects
The following are the projects that were offered under the interdisciplinary programme on Brain, Computation, and Data Science in previous sessions.
| SL.NO | Project Name | PI Name | Links |
| P 1 | Understanding natural vision using dimensionality reduction and compressive sensing techniques | Supratim Ray (CNS)& Chandra Murthy (ECE) | Click here |
| P 2 | Exploring and Expanding Multimodal Large Language Models (LLMs) With Human-Centric Approaches | Sriram Ganapathy (EE) & Prathosh A P (ECE) | Click here |
| P 3 | Neuromorphic Brain-Machine Interface System for Improving Attention | Chetan Singh Thakur (ESE) & Sridharan Devarajan (CNS) | Click here |
| P 4 | Memory and navigation: How does our brain learn remember and navigate in space? | Balaji Jayaprakash (CNS) & Rishikesh Narayanan (MBU) | Click here |
| P 5 | Neural, muscular and articulatory encoding of speech | Prasanta Kumar Ghosh (EE) & Aditya Murthy (CNS) | Click here |
| SL.NO | Project Name | PI Name | Links |
| 1 | Memory and Navigation | Balaji Jayaprakash (CNS) & Rishikesh Narayanan (MBU) | Click here |
| 2 | Biological learning in mammals: A framework involving many manifolds | Rishikesh Narayanan (MBU) & Ashesh Dhawale (CNS) | Click here |
| 3 | Understanding natural vision using dimensionality reduction and compressive sensing techniques | Supratim Ray (CNS)& Chandra Murthy (ECE) | Click here |
| 4 | Developing Neuromorphic Sensing and Computation Systems | Chetan Singh Thakur (ESE) & Chandrasekhar Seelamantula (EE) | Click here |
| 5 | Deep learning models for training attention with a real-time BCI | Sridharan Devarajan (CNS) & Ambedkar Dukkipati (CSA) | Click here |
| 6 | Understanding the neural code for human visual cognition with large-scale brain recordings | Sridharan Devarajan (CNS) & Hardik Pandya (ESE) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Understanding Physics based machine learning for electronic devices | Santanu Mahapatra (DESE) and Kunal N Chaudhury (EE) | Click here |
| 2 | Developing Biological learning in mammals: A framework involving many manifolds | Rishikesh Narayanan (MBU) and Ashesh Dhawale (CNS) | Click here |
| 3 | Neuroscience-Inspired Methods for Improving the Robustness of Deep Networks | Venkatesh Babu (CDS) and S P Arun (CNS) | Click here |
| 4 | Deep diffusion models for decoding visual stimuli from brain scans | Sridharan Devarajan (CNS & CSA) and Ambedkar Dukkipati (CSA) | Click here |
| 5 | Exploring Explainable AI for Transformer and Diffusion Models | Venkatesh Babu (CDS) and Chandra Sekhar Seelamantula (EE) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Understanding image processing in brains and deep neural networks | S P Arun (CNS) and P S Sastry (EE) | Click here |
| 2 | Developing A Low-Power Neuromorphic System for Motor Prosthetics and BCI Applications | Chetan Singh Thakur (ESE) and Chandra Sekhar Seelamantula (EE) | Click here |
| 3 | Characterization of the cellular and molecular mechanism that support the heterogenic excitability pattern of dorsoventral hippocampal pyramidal neurons | Giriraj Sahu and Deepak Nair (CNS) | Click here |
| 4 | Neural, muscular and articulatory encoding of speech | Prasanta Kumar Ghosh (EE) and Aditya Murthy (CNS) | Click here |
| 5 | Understanding natural vision using dimensionality reduction and compressive sensing techniques | Supratim Ray (CNS) and Chandra Murthy (ECE) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Understanding image processing in brains and deep neural networks | S P Arun (CNS) and P S Sastry (EE) | Click here |
| 2 | Neural algorithms for reinforcement learning in continuous action spaces | Ashesh Dhawale (CNS) and Ambedkar Dukkipati (CSA) | Click here |
| 3 | Neural, muscular and articulatory encoding of speech. | Prasanta Kumar Ghosh (EE) and Aditya Murthy (CNS) | Click here |
| 4 | Deep generative models for decoding visual stimuli from brain scans | Sridharan Devarajan (CNS & CSA) and Chandra Murthy (ECE) | Click here |
| 5 | Learning audio-visual representations in deep networks and humans | Sriram Ganapathy (EE) and S P Arun (CNS) | Click here |
| 6 | Supervised and Unsupervised Deep Learning of Audio-Visual Representations | Sriram Ganapathy (EE) and Prathosh A P (ECE) | Click here |
| 7 | Understanding natural vision using dimensionality reduction and compressive sensing techniques | Supratim Ray (CNS) and Chandra Murthy (ECE) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Dynamical nanoscale organization of Amyloid precursor protein (APP) at excitatory synapses | Anand Srivastava (MBU) and Deepak Nair (CNS) | Click here |
| 2 | Role of Feedback in Visual Information Processing | S P Arun (CNS) and Sastry | Click here |
| 3 | Cellular, Synaptic and Network Scale Plasticity Underlying Learning and Memory | Balaji Jayaprakash (CNS) and Rishikesh Narayanan (MBU) | Click here |
| 4 | Neuromorphic Imaging with Event-based Vision Sensor using Deep Learning | Chandra Sekhar Seelamantula (EE) and Chetan Singh Thakur (ESE) | Click here |
| 5 | Neural, muscular and articulatory encoding of speech | Prasanta Kumar Ghosh (EE) and Aditya Murthy (CNS) | Click here |
| 6 | Few-shot Deep Generative Transfer | Prathosh A P (ECE) and Chandra Sekhar Seelamantula (EE) | Click here |
| 7 | A deep learning approach for training human selective attention with a real-time brain- computer interface | Sridharan Devarajan (CNS) and Ambedkar Dukkipati (CSA) | Click here |
| 8 | Unifying Supervised and Unsupervised Deep Representation Learning of Audio-Visual Signals | Sriram Ganapathy (EE) and Prathosh A P (ECE) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Dynamical nanoscale organization of Amyloid precursor protein (APP) at excitatory synapses | Anand Srivastava (MBU) and Deepak Nair (CNS) | Click here |
| 2 | Neural, muscular and articulatory encoding of speech | Prasanta Kumar Ghosh (EE) and Aditya Murthy (CNS) | Click here |
| 3 | Brain connectivity in health and disease | Supratim Ray (CNS) and Govindan Rangarajan (Math) | Click here |
| S No | Project Name | Name of Principal Investigator | Links |
| 1 | Dynamical nanoscale organization of Amyloid precursor protein (APP) at excitatory synapses | Anand Srivastava (MBU) and Deepak Nair (CNS) | Click here |
| 2 | Development of analytical models of learning in animals and testing them using rodents, humans and neural networks | Balaji Jayaprakash (CNS) and Chandra Murthy (ECE) | Click here |
| 3 | Event-Based Computing Using Neuromorphic Cameras and Application to Neuro-Imaging | Chetan Singh Thakur (ESE), Deepak Nair (CNS), and Chandra Sekhar Seelamantula (EE) | Click here |
| 4 | Neural, muscular and articulatory encoding of speech | Prasanta Kumar Ghosh (EE) and Aditya Murthy (CNS) | Click here |
| 5 | Continual learning in the brain | Rishikesh Narayanan (MBU) and Sachin Deshmukh (CNS) | Click here |
| 6 | A deep learning approach for training human selective attention with a real-time brain- computer interface | Sridharan Devarajan (CNS) and Ambedkar Dukkipati (CSA) | Click here |
| 7 | Audio visual Integration in Humans and Machines | Sriram Ganapathy (EE) and S P Arun (CNS) | Click here |
| 8 | Brain connectivity in health and disease | Supratim Ray (CNS) and Govindan Rangarajan (Math) | Click here |
Contact for queries regarding the PhD programme
All queries regarding the interdisciplinary PhD programme in Brain, Computation, and Data Science should be directed to the email address (office.bcd). The email address is @iisc.ac.in.
The Brain, Computation, and Data Science programme is for candidates interested in an interdisciplinary PhD degree. There are NO MTech/Masters degrees associated with the BCD programme.