Photo
Seeking jobs in AI/ML
16 PUBLICATIONS
1 PATENT
115 CITATIONS
Best Demo
SenSys
Best Paper Runner
BuildSys
Best Poster
BuildSys
Best Demo Runner
SenSys
Research Pilot Award
Google
Best Dev Tool
HackRU
Best Poster
MIT IoT
Placed First
MIT IoT Hack
EDUCATION
BE MS PhD
PhD.
,
Computer Science & Engineering
UNIVERSITY OF CALIFORNIA - SAN DIEGO
Advisor: Tajana Rosing
2024
M.S.
,
Computer Engineering
COLUMBIA UNIVERSITY
NYC
Advisor: Fred Jiang
2017
B.E.
,
Electrical & Electronics Engineering
ANNA UNIVERSITY
INDIA
Advisor: KR Santha
2015
INTERNSHIPS
Time in Industry
ARM Research
Summer 22
Research Intern
Developed Deep Learning models to predict malicious code using hardware performance counters.
Assisted in developing methods for identifying models polluted by data poisoning attacks, using Hyperdimensional Computing.
Secured a Patent for detecting anomalies in time series forecasting applications.
Huawei Research
Summer 18
Research Intern
Designed Fast Machine Learning algorithms for inertial activity recognition using smartphone.
Provided optimized implementation for real-time activity recognition on smartphones
Implementation was integrated into Huawei smartphones
AI SKILLSETS
Experienced in ML for IoT
Deep Learning
Time Series Forecasting
Image Classification
Federated Learning
Text Classification
Bayesian Methods
Hyperdimensional Computing
IoT ML
Causal Learning
tinyML
LLM
Transformers
Computer Vision
Unsupervised Learning
On-Device Learning
DEV SKILLSETS
Experienced in ML for IoT
Several Projects
Few Projects
Coursework
Basic Understanding
Experienced
Python
C
PyTorch
Jax
Tensorflow
Git
React
Svelte
PySpark
Prolog
Ocaml
System Verilog
Lua
Flask
Rust
Docker
Kubernetes
Shell
CI/CD
HTML
CSS
Go
AI
Backend
Frontend
DevOPS
Systems
RELEVANT PROJECTS
Currently working on
HD Ensembles
Efficient ensemble learning using HDC
Probabilistic Clustering
Fast and scalable clustering using probabilistic models
Graph Embeddings
Fast and efficient graph representations using HDC
NodaViz
Open-source app to visualize mind maps and enable AI interactions
HDnn
Efficient neuro-symbolic models for lightweight classification
Multiple Inference Composition
Storing multiple models in one
PUBLICATIONS
Peer Reviewed Articles
A Neuro-Symbolic Architecture for Efficient Classification using Hyperdimensional Computing
Rishikanth Chandrasekaran, Tajana Rosing
ISLPED 2024
Federated Hyperdimensional Computing
Kazim Ergun, Rishikanth Chandrasekaran, Tajana Rosing
ACM TIoT (under review) 2023
Multi-label classification with Hyperdimensional Representations
Rishikanth Chandrasekaran, F Asgareinjad, J Morris, T Rosing
IEEE Access Journal 2023
Fhdnn: Communication efficient and robust federated learning for aiot networks
R Chandrasekaran, K Ergun, J Lee, D Nanjunda, J Kang, T Rosing
Proceedings of the 59th ACM/IEEE Design Automation Conference 2022
Hdnn-pim: Efficient in memory design of hyperdimensional computing with feature extraction
A Dutta, S Gupta, B Khaleghi, R Chandrasekaran, W Xu, T Rosing
Proceedings of the Great Lakes Symposium on VLSI 2022
A drone-based system for intelligent and autonomous homes
S Xia, R Chandrasekaran, Y Liu, C Yang, TS Rosing, X Jiang
Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems 2021
Efficient Sparse Processing for Smart Home Applications
Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Masimiliano Menarini, Michael Ostertag, Tajana Rosing
ACM Conference on Embedded Network Sensor Systems (SenSys) 2019
A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings
Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, Xiaofan Jiang
ACM Transaction on Sensor Networks (TSON) 2018
PAWS: A Wearable Acoustic System for Pedestrian Safety
Daniel de Godoy, Bashima Islam, Stephen Xia, Md Tamzeed Islam, Rishikanth Chandrasekaran, Yen-Chun Chen, Shahriar Nirjon, Peter R Kinget, Xiaofan Jiang
Internet-of-Things Design and Implementation (IoTDI) 2018
Paws: A wearable acoustic system for pedestrian safety.
Daniel de Godoy, Bashima Islam, Stephen Xia, Md Tamzeed Islam, Rishikanth Chandrasekaran, Yen-Chun Chen, Shahriar Nirjon, Peter R Kinget, Xiaofan Jiang
IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI) 2018
ePrints: a real-time and scalable system for fair apportionment and tracking of personal energy footprints in commercial buildings
Peter Wei, Xiaoqi Chen, Jordan Vega, Stephen Xia, Rishikanth Chandrasekaran, Xiaofan Jiang
ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys) 2017
Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings
Peter Wei, Xiaoqi Chen, Rishikanth Chandrasekaran, Fengyi Song, Xiaofan Jiang
ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys) 2016
SEUS: A Wearable Multi-Channel Acoustic Headset Platform to Improve Pedestrian Safety
Rishikanth Chandrasekaran, Daniel de Godoy, Stephen Xia, Md Tamzeed Islam, Bashima Islam, Shahriar Nirjon, Peter Kinget, Xiaofan Jiang
ACM Conference on Embedded Network Sensor Systems (SenSys) 2016
Personal energy footprint in shared building environment
Peter Wei, Xiaoqi Chen, Rishikanth Chandrasekaran, Fengyi Song, Xiaofan Jiang
International Conference on Information Processing in Sensor Networks (IPSN) 2016
Low-cost intelligent gesture recognition engine for audio-vocally impaired individuals
C Rishikanth, Harini Sekar, Gautham Rajagopal, Ramesh Rajesh, Vineeth Vijayaraghavan
Global Humanitarian Technology Conference (GHTC) 2014
Low-cost intelligent prepaid energy meter
Rishikanth Chandrasekaran, Akshaya Ravishankar, Anand Vignesh, Vikram Vel, Dhiwaakara Purushothaman , Vineeth Vijayaraghavan
MIT International Conference on the Internet of Things 2014
TEACHING
TEACHING ASSISTANT
CSE152A Computer Vision
CSE101 Design & Analysis of Algorithms
CSE255 Big Data
CSE 141 Digital Design & Techniques: Logic
CSE150 Introduction to Probabilistic Learning
LEADERSHIP
POSITIONS HELD
Graduate Women in Computing
Event Coordinator
CSE PhD Admissions Committee
Member