CORP: An Efficient Protocol to Prevent Data Loss in Mobile Ad-hoc Networks. - Ganapathy Mani (AINA Workshops, 2013)

Internet of Things as a Methodological Concept. - Nima Bari; Ganapathy Mani; Simon Y. Berkovich (COM.Geo, 2013)

Balanced Block Design Architecture for Parallel Computing in Mobile CPUs/GPUs. - Ganapathy Mani; Simon Y. Berkovich; Duoduo Liao (COM.Geo, 2013)

Enhancing communication and collaboration through integrated internet and intranet architecture. - Ganapathy Mani; Juman Byun; Patrizia Cocca (SIGDOC, 2013)

3D web based surgical training through comparative analysis. - Ganapathy Mani; Wei Li (Web3D, 2013)

Clone attack detection and data loss prevention in mobile ad hoc networks. - Ganapathy Mani (Int. J. Space Based Situated Comput., 2015)

Securing IoT-Based Cyber-Physical Human Systems against Collaborative Attacks. - Sathish A. P. Kumar; Bharat K. Bhargava; Raimundo José de Araújo Macêdo; Ganapathy Mani (ICIOT, 2017)

(WIP) Blockhub: Blockchain-Based Software Development System for Untrusted Environments. - Denis A. Ulybyshev; Miguel Villarreal-Vasquez; Bharat K. Bhargava; Ganapathy Mani; Steve Seaberg; Paul Conoval; Robert Pike; Jason Kobes (IEEE CLOUD, 2018)

Machine Learning Models to Enhance the Science of Cognitive Autonomy. - Ganapathy Mani; Bharat K. Bhargava; Pelin Angin; Miguel Villarreal-Vasquez; Denis A. Ulybyshev; Jason Kobes (AIKE, 2018)

Scalable Deep Learning through Fuzzy-Based Clustering in Autonomous Systems. - Ganapathy Mani; Bharat K. Bhargava; Jason Kobes (AIKE, 2018)

Autonomous Aggregate Data Analytics in Untrusted Cloud. - Ganapathy Mani; Denis A. Ulybyshev; Bharat K. Bhargava; Jason Kobes; Puneet Goyal (AIKE, 2018)

Secure Data Communication in Autonomous V2X Systems. - Denis A. Ulybyshev; Aala Oqab Alsalem; Bharat K. Bhargava; Savvas Savvides; Ganapathy Mani; Lotfi Ben Othmane (ICIOT, 2018)

Incremental Learning through Graceful Degradations in Autonomous Systems. - Ganapathy Mani; Bharat K. Bhargava; Basavesh Shivakumar (ICCC, 2018)

DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters. - Ganapathy Mani; Vikram Pasumarti; Bharat K. Bhargava; Faisal Tariq Vora; James MacDonald; Justin King; Jason Kobes (ACSOS, 2020)

A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning. - Marina Haliem; Ganapathy Mani; Vaneet Aggarwal; Bharat K. Bhargava (CSCS, 2020)

A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning. - Marina Haliem; Ganapathy Mani; Vaneet Aggarwal; Bharat K. Bhargava (IEEE Trans. Intell. Transp. Syst., 2021)

Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense. - Ganapathy Mani; Marina Haliem; Bharat K. Bhargava; Indu Manickam; Kevin Kochpatcharin; Myeongsu Kim; Eric D. Vugrin; Weichao Wang; Chris Jenkins; Pelin Angin; Meng Yu 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Synthetic Data Applications in Finance. - Vamsi K. Potluru; Daniel Borrajo; Andrea Coletta; Niccolò Dalmasso; Yousef El-Laham; Elizabeth Fons; Mohsen Ghassemi; Sriram Gopalakrishnan; Vikesh Gosai; Eleonora Kreacic; Ganapathy Mani; Saheed Obitayo; et al. (CoRR, 2024)

Ensemble Methods for Sequence Classification with Hidden Markov Models. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)

Behavioral Sequence Modeling with Ensemble Learning. - Maxime Kawawa-Beaudan; Srijan Sood; Soham Palande; Ganapathy Mani; Tucker Balch; Manuela Veloso (CoRR, 2024)

Malware Speaks! Deep Learning Based Assembly Code Processing for Detecting Evasive Cryptojacking. - Ganapathy Mani; Myeongsu Kim; Bharat K. Bhargava; Pelin Angin; Ayça Deniz; Vikram Pasumarti (IEEE Trans. Dependable Secur. Comput., 2024)