1. Vikram Ravindra, Geoffrey Sanders, and Ananth Grama Identifying Coherent Subgraphs in Dynamic Brain Networks, IEEE International Conference on Image Processing, 2021 (ICIP '21).

  2. Vikram Ravindra and Ananth Grama, De-anonymization attacks in Neuroimaging Datasets SIGMOD/PODS International Conference on Management of Data, 2021 (SIGMOD '21).

  3. Vikram Ravindra and Ananth Grama, Characterizing Similarity of Visual Stimulus from Associated Neuronal Response, 29th International Joint Conference for Artificial Intelligence, 2020 (IJCAI '20).

  4. Vikram Ravindra, Huda Nassar, David F. Gleich, and Ananth Grama, Rigid Graph Alignment, 8th International Conference on Complex Networks and their Applications, 2019 (ComplexNets '19).

  5. Thomas Runkler and Vikram Ravindra Fuzzy Graph Clustering based on Non-Euclidean Relational Fuzzy c-Means 16th World Congress of the International Fuzzy Systems Association - 9th Conference of the European Society for Fuzzy Logic and Technology, 2015 (IFSA-EUFLAT '15).

  6. Claudio Castellini and Vikram Ravindra A wearable low-cost device based upon Force-Sensing Resistors to detect single-finger forces Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014 (BioRob '14)


  1. Chih-Hao Fang, Vikram Ravindra, Salma Akhter, Mohammad Adibuzzaman, Paul Griffin, Shankar Subramaniam, and Ananth Grama, Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs, PLOS Digital Health, 2022.

  2. Vikram Ravindra, Huda Nassar, David F. Gleich, and Ananth Grama, Aligning Spatially Constrained Graphs, IEEE Transactions on Knowledge and Data Engineering, 2022.

  3. Vikram Ravindra, Petros Drineas and Ananth Grama Constructing compact signatures for individual fingerprinting of brain connectomes Frontiers in Neuroscience 2021.

  4. Shahin Mohammadi, Vikram Ravindra, David F. Gleich, and Ananth Grama A geometric approach to characterize the functional identity of single cells Nature Communications 2018.

  5. Vikram Ravindra and Claudio Castellini A comparative analysis of three non-invasive human-machine interfaces for the disabled Frontiers in Neurorobotics 2014

Book Chapter

  1. Hasan Aktulga, Vikram Ravindra, Ananth Grama, and Sagar Pandit, Machine Learning Techniques in Reactive Atomistic Simulations, Lecture Notes in Energy: Machine Learning and its application to Reacting Flows, Springer Open, 2022.

Preprints/In Review:

  1. Vikram Ravindra and Ananth Grama, Identification of task-specific subgraphs in functional brain networks, [In Review]

  2. Vikram Ravindra, Chih-Hao Fang, and Ananth Grama, <Title withheld>, 2022 [In Review]

  3. Chih-Hao Fang, Vikram Ravindra, Ananth Grama, Jose Davila-Velderrain, and Shahin Mohammadi, <Title withheld>, 2021 [In Review]


  1. [Doctoral Thesis] Vikram Ravindra Computational Methods to analyze Functional Connectomes, Purdue University Graduate School. Thesis. 2022

  2. [Masters Thesis] Vikram Ravindra Comparison of Human Machine Interfaces for Advanced Hand Prosthetics. DLR-Interner Bericht. DLR-IB 572-2014/19, 55 S 2014

  3. [Workshop] Vikram Ravindra, Aditya Prakash, SVR Anand, Malati Hegde, Implementation of throughput enhancing client-AP association scheme On a WLAN controller, WISARD@COMSNETS 2012.