Design and Simulation of Structurally Decoupled 4-DOF MEMS Vibratory Gyroscope. - Ankush Jain; Ram Gopal (VLSI Design, 2013)

Compact Filters for Fast Online Data Partitioning. - Qing Zheng; Charles D. Cranor; Ankush Jain; Gregory R. Ganger; Garth A. Gibson; George Amvrosiadis; Bradley W. Settlemyer; Gary Grider (CLUSTER, 2019)

Traffic aware field-based routing for wireless sensor networks. - Vijay Anand; Ankush Jain; K. K. Pattanaik 001; Ajay Kumar 002 (Telecommun. Syst., 2019)

Unleashing In-network Computing on Scientific Workloads. - Daehyeok Kim; Ankush Jain; Zaoxing Liu; George Amvrosiadis; Damian Hazen; Bradley W. Settlemyer; Vyas Sekar (CoRR, 2020)

Pixel-wise dictionary learning based locality-constrained representation for noise robust face hallucination. - Surendra Nagar; Ankush Jain; Pramod Kumar Singh; Ajay Kumar 002 (Digit. Signal Process., 2020)

EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. - Ankush Jain; Surendra Nagar; Pramod Kumar Singh; Joydip Dhar (Expert Syst. Appl., 2020)

Multi-objective item evaluation for diverse as well as novel item recommendations. - Ankush Jain; Pramod Kumar Singh; Joydip Dhar (Expert Syst. Appl., 2020)

Streaming Data Reorganization at Scale with DeltaFS Indexed Massive Directories. - Qing Zheng; Charles D. Cranor; Ankush Jain; Gregory R. Ganger; Garth A. Gibson; George Amvrosiadis; Bradley W. Settlemyer; Gary Grider (ACM Trans. Storage, 2020)

Mixed-noise robust face super-resolution through residual-learning based error suppressed nearest neighbor representation. - Surendra Nagar; Ankush Jain; Pramod Kumar Singh; Ajay Kumar 002 (Inf. Sci., 2021)

Energy and congestion aware routing based on hybrid gradient fields for wireless sensor networks. - Ankush Jain; K. K. Pattanaik 001; Ajay Kumar 002; Paolo Bellavista (Wirel. Networks, 2021)

ADC@Θr: Adaptive divisional categorization of ratings under rating threshold Θr for similarity computation in recommendation systems. - Ankush Jain; Surendra Nagar; Pramod Kumar Singh; Joydip Dhar (Appl. Intell., 2022)

Adaptive optimal multi-features learning based representation for face hallucination. - Surendra Nagar; Ankush Jain; Pramod Kumar Singh; Ajay Kumar 002 (Expert Syst. Appl., 2022)

A hybrid learning-based genetic and grey-wolf optimizer for global optimization. - Ankush Jain; Surendra Nagar; Pramod Kumar Singh; Joydip Dhar (Soft Comput., 2023)

Structural similarity-based Bi-representation through true noise level for noise-robust face super-resolution. - Surendra Nagar; Ankush Jain; Pramod Kumar Singh; Ajay Kumar 002 (Multim. Tools Appl., 2023)

CARP: Range Query-Optimized Indexing for Streaming Data. - Ankush Jain; Charles D. Cranor; Qing Zheng; Bradley W. Settlemyer; George Amvrosiadis; Gary A. Grider (SC, 2024)

Diabetic Retinopathy Detection Using Quantum Transfer Learning. - Ankush Jain; Rinav Gupta; Jai Singhal (CoRR, 2024)

Partition Clustering in Complex Weighted Networks Using K-Cut Ranking and Krill-Herd Optimization. - Vishal Srivastava; Shashank Sheshar Singh; Ankush Jain (IEEE Trans. Netw. Sci. Eng., 2024)

KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments. - Ankush Jain; Garima Jain; Dhruv Tewari (Knowl. Inf. Syst., 2024)

Permutation driven evolutionary ordering with dependency filtering for multi-label classification. - Ankush Jain; Daksh Gupta; Sarthak Shukla; Vishal Srivastava (Int. J. Mach. Learn. Cybern., 2025)