A Secure Intrusion Detection System with Authentication in Mobile Ad hoc Network. - Rakesh Shrestha; Jong-Yeop Sung; SangDuck Lee; Pyung Sik-Yun; Dong-You Choi; Seung Jo Han (PACCS, 2009)

A Novel Cross Layer Intrusion Detection System in MANET. - Rakesh Shrestha; Kyong-Heon Han; Dong-You Choi; Seung Jo Han (AINA, 2010)

Sybil attack detection in vehicular network based on received signal strength. - Rakesh Shrestha; Sirojiddin Djuraev; Seung Yeob Nam (ICCVE, 2014)

Access point selection mechanism to circumvent rogue access points using voting-based query procedure. - Rakesh Shrestha; Seung Yeob Nam (IET Commun., 2014)

LTE or LAA: Choosing Network Mode for My Mobile Phone in 5G Network. - Rojeena Bajracharya; Rakesh Shrestha; Yousaf Bin Zikria; Sung Won Kim (VTC Spring, 2017)

Trustworthy Event-Information Dissemination in Vehicular Ad Hoc Networks. - Rakesh Shrestha; Seung Yeob Nam (Mob. Inf. Syst., 2017)

The Hands-Free Push-Cart: Autonomous Following in Front by Predicting User Trajectory Around Obstacles. - Payam Nikdel; Rakesh Shrestha; Richard Vaughan 001 (ICRA, 2018)

Centralized approach for trustworthy message dissemination in VANET. - Rakesh Shrestha; Rojeena Bajracharya; Seung Yeob Nam (NOMS, 2018)

LWA in 5G: State-of-the-Art Architecture, Opportunities, and Research Challenges. - Rojeena Bajracharya; Rakesh Shrestha; Rashid Ali 001; Arslan Musaddiq; Sung Won Kim (IEEE Commun. Mag., 2018)

Challenges of Future VANET and Cloud-Based Approaches. - Rakesh Shrestha; Rojeena Bajracharya; Seung Yeob Nam (Wirel. Commun. Mob. Comput., 2018)

Learned Map Prediction for Enhanced Mobile Robot Exploration. - Rakesh Shrestha; Fei-Peng Tian; Wei Feng 005; Ping Tan 002; Richard Vaughan 001 (ICRA, 2019)

Chapter Ten - Integration of IoT with blockchain and homomorphic encryption: Challenging issues and opportunities. - Rakesh Shrestha; Shiho Kim (Adv. Comput., 2019)

Regional Blockchain for Vehicular Networks to Prevent 51% Attacks. - Rakesh Shrestha; Seung Yeob Nam (IEEE Access, 2019)

Q-Learning Based Fair and Efficient Coexistence of LTE in Unlicensed Band. - Rojeena Bajracharya; Rakesh Shrestha; Sung Won Kim (Sensors, 2019)

A new type of blockchain for secure message exchange in VANET. - Rakesh Shrestha; Rojeena Bajracharya; Anish Prasad Shrestha; Seung Yeob Nam (Digit. Commun. Networks, 2020)

Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future. - Rojeena Bajracharya; Rakesh Shrestha; Haejoon Jung (Sensors, 2020)

MeshMVS: Multi-View Stereo Guided Mesh Reconstruction. - Rakesh Shrestha; Zhiwen Fan; Qingkun Su; Zuozhuo Dai; Siyu Zhu 001; Ping Tan 002 (3DV, 2021)

Wireless Infrastructure Drone based on NR-U: A Perspective. - Rojeena Bajracharya; Rakesh Shrestha; Haejoon Jung (ICTC, 2021)

6G Enabled Unmanned Aerial Vehicle Traffic Management: A Perspective. - Rakesh Shrestha; Rojeena Bajracharya; Shiho Kim (IEEE Access, 2021)

Unlocking Unlicensed Band Potential to Enable URLLC in Cloud Robotics for Ubiquitous IoT. - Rojeena Bajracharya; Rakesh Shrestha; Syed Ali Hassan 001; Haejoon Jung; Rafay Iqbal Ansari; Mohsen Guizani (IEEE Netw., 2021)

SceneSqueezer: Learning to Compress Scene for Camera Relocalization. - Luwei Yang; Rakesh Shrestha; Wenbo Li; Shuaicheng Liu; Guofeng Zhang 001; Zhaopeng Cui; Ping Tan 002 (CVPR, 2022)

A Real World Dataset for Multi-view 3D Reconstruction. - Rakesh Shrestha; Siqi Hu; Minghao Gou; Ziyuan Liu; Ping Tan (ECCV (8), 2022)

A Novel E/E Architecture for Low Altitude UAVs. - Rakesh Shrestha; Dohyun Kim 006; Junghwan Choi; Shiho Kim (ISCAS, 2022)

Neutral Host Technology: The Future of Mobile Network Operators. - Rojeena Bajracharya; Rakesh Shrestha; Haejoon Jung; Hyundong Shin (IEEE Access, 2022)

6G NR-U Based Wireless Infrastructure UAV: Standardization, Opportunities, Challenges and Future Scopes. - Rojeena Bajracharya; Rakesh Shrestha; Shiho Kim; Haejoon Jung (IEEE Access, 2022)

Dynamic Pricing for Intelligent Transportation System in the 6G Unlicensed Band. - Rojeena Bajracharya; Rakesh Shrestha; Syed Ali Hassan 001; Kostromitin Konstantin; Haejoon Jung (IEEE Trans. Intell. Transp. Syst., 2022)

Privacy-preserving Federated Learning System for Fatigue Detection. - Mohammadreza Mohammadi; Roberto Allocca; David Eklund; Rakesh Shrestha; Sima Sinaei (CSR, 2023)

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz (ICCBDC, 2023)

5G and Beyond Private Military Communication: Trend, Requirements, Challenges and Enablers. - Rojeena Bajracharya; Rakesh Shrestha; Syed Ali Hassan 001; Haejoon Jung; Hyundong Shin (IEEE Access, 2023)

Bandit Approach for Fair and Efficient Coexistence of NR-U in Unlicensed Bands. - Rojeena Bajracharya; Rakesh Shrestha; Haejoon Jung (IEEE Trans. Veh. Technol., 2023)

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. - Sima Sinaei; Mohammadreza Mohammadi; Rakesh Shrestha; Mina Alibeigi; David Eklund (DSD, 2024)

Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei (ICCBDC, 2024)

Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine. - Tara Toufighi; Minh Bui; Rakesh Shrestha; Mo Chen (L4DC, 2024)

RaDe-GS: Rasterizing Depth in Gaussian Splatting. - Baowen Zhang; Chuan Fang; Rakesh Shrestha; Yixun Liang; Xiaoxiao Long; Ping Tan (CoRR, 2024)

Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. - Rakesh Shrestha; Mohammadreza Mohammadi; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz; Ehsan Nowroozi; Anders Lindgren (J. Parallel Distributed Comput., 2024)

Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints. - Chuan Fang; Yuan Dong; Kunming Luo; Xiaotao Hu; Rakesh Shrestha; Ping Tan (3DV, 2025)