Poster Abstract: Personal Energy Footprint in Shared Building Environment. - Xiaoqi Chen; Rishikanth Chandrasekaran; Fengyi Song; Xiaofan Jiang 001 (IPSN, 2016)

SEUS: A Wearable Multi-Channel Acoustic Headset Platform to Improve Pedestrian Safety: Demo Abstract. - Rishikanth Chandrasekaran; Daniel de Godoy; Stephen Xia; Md Tamzeed Islam; Bashima Islam; S. M. Shahriar Nirjon; Peter R. Kinget; Xiaofan Jiang 001 (SenSys, 2016)

Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings: Poster Abstract. - Peter Wei; Xiaoqi Chen; Rishikanth Chandrasekaran; Fengyi Song; Xiaofan Jiang 001 (BuildSys, 2016)

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 001 (BuildSys, 2017)

PAWS: A Wearable Acoustic System for Pedestrian Safety. - Daniel de Godoy; Bashima Islam; Stephen Xia; Md Tamzeed Islam; Rishikanth Chandrasekaran; Yen-Chun Chen 001; Shahriar Nirjon; Peter R. Kinget; Xiaofan Jiang 001 (IoTDI, 2018)

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 001 (ACM Trans. Sens. Networks, 2018)

Efficient Sparse Processing in Smart Home Applications. - Rishikanth Chandrasekaran; Yunhui Guo; Anthony Thomas; Massimiliano Menarini; Michael H. Ostertag; Yeseong Kim; Tajana Rosing (SenSys-ML, 2019)

A Drone-based System for Intelligent and Autonomous Homes. - Stephen Xia; Rishikanth Chandrasekaran; Yanchen Liu; Chenye Yang; Tajana Simunic Rosing; Xiaofan Jiang 001 (SenSys, 2021)

FHDnn: communication efficient and robust federated learning for AIoT networks. - Rishikanth Chandrasekaran; Kazim Ergun; Jihyun Lee; Dhanush Nanjunda; Jaeyoung Kang 001; Tajana Rosing (DAC, 2022)

HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction. - Arpan Dutta; Saransh Gupta; Behnam Khaleghi; Rishikanth Chandrasekaran; Weihong Xu; Tajana Rosing (ACM Great Lakes Symposium on VLSI, 2022)

Multi-Label Classification With Hyperdimensional Representations. - Rishikanth Chandrasekaran; Fatemeh Asgareinjad; Justin Morris; Tajana Rosing (IEEE Access, 2023)

Federated Hyperdimensional Computing. - Kazim Ergun; Rishikanth Chandrasekaran; Tajana Rosing (CoRR, 2023)

Multi-Model Inference Composition of Hyperdimensional Computing Ensembles. - Flavio Ponzina; Rishikanth Chandrasekaran; Anya Wang; Seiji Minowada; Siddharth Sharma; Tajana Rosing (ICCD, 2024)

Enhancing Deep Learning Efficiency: A Hyperdimensional Computing Approach - Rishikanth Chandrasekaran (2024)

Federated Hyperdimensional Computing: Comprehensive Analysis and Robust Communication. - Ye Tian 023; Rishikanth Chandrasekaran; Kazim Ergun; Xiaofan Yu 001; Tajana Rosing (ACM Trans. Internet Things, 2025)