GENI Deployment and Research at US Army Research Laboratory. - Vinod K. Mishra; Venkat R. Dasari (MILCOM, 2014)

OpenFlow Arbitrated Programmable Network Channels for Managing Quantum Metadata. - Venkat R. Dasari; Travis S. Humble (CoRR, 2015)

Modeling and optimization for programmable unified control plane in heterogeneous wireless networks. - Brian Jalaian; Venkat R. Dasari; Y. Thomas Hou 001 (Sarnoff Symposium, 2016)

Programmable Multi-Node Quantum Network Design and Simulation. - Venkat R. Dasari; Ronald J. Sadlier; Ryan Prout; Brian P. Williams; Travis S. Humble (CoRR, 2016)

A generalized optimization framework for control plane in tactical wireless networking. - Brian Jalaian; Venkat R. Dasari; Mehul Motani (ICNC, 2017)

Visual computation and simulation of path loss effects on tactical networks in urban canyon. - Venkat R. Dasari; Scott E. Brown; David M. Alexander; Vincent Perry; Simon Su (IEEE BigData, 2018)

Using SFP Data to Detect Contaminated Fiber Connectors. - Christopher Mendoza; Venkat R. Dasari; Michael P. McGarry (LATINCOM, 2018)

OpenFlow Experimenter Labels for Encoding Adaptive Network Functions. - Nikolai A. Snow; Venkat R. Dasari; Billy E. Geerhart (Sarnoff Symposium, 2018)

Optimization and synchronization of programmable quantum communication channels. - Mee Seong Im; Venkat R. Dasari (CoRR, 2018)

Well defined quantum key distribution using calibration, synchronization, and a programmable quantum channel. - Billy E. Geerhart; Venkat R. Dasari (CoRR, 2018)

Complexity and mission computability of adaptive computing systems. - Venkat R. Dasari; Mee Seong Im; Billy E. Geerhart (CoRR, 2018)

On the integration of SIC and MIMO DoF for interference cancellation in wireless networks. - Borhan (Brian) Jalaeian; Xu Yuan 001; Yi Shi 001; Y. Thomas Hou 001; Wenjing Lou; Scott F. Midkiff; Venkat R. Dasari (Wirel. Networks, 2018)

Dynamic visualization of large scale tactical network simulations. - Venkat R. Dasari; Stephen Allen; Scott E. Brown (IEEE BigData, 2019)

Analysis of High fidelity ns-3 simulations to study real-time application performance in tactical wireless networks. - Venkat R. Dasari; David M. Alexander; Scott E. Brown; Jenmfer Brooks; Brian Panneton; Simon Su (IEEE BigData, 2019)

Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF). - Christopher Mendoza; Venkat R. Dasari; Michael P. McGarry (IEEE BigData, 2019)

Hybrid 2D and 3D Visual Analytics of Network Simulation Data. - Simon Su; Vincent Perry; Venkat R. Dasari (IEEE BigData, 2019)

Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. - Yasaman Keshtkarjahromi; Rawad Bitar; Venkat R. Dasari; Salim El Rouayheb; Hulya Seferoglu (GLOBECOM, 2019)

The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. - Joseph Noor; Ahmed Ali-Eldin; Luis Garcia 001; Chirag Rao; Venkat R. Dasari; Deepak Ganesan; Brian Jalaian; Prashant J. Shenoy; Mani B. Srivastava (MILCOM, 2019)

Optimization problems with low SWaP tactical Computing. - Mee Seong Im; Venkat R. Dasari; Lubjana Beshaj; Dale R. Shires (CoRR, 2019)

Solving machine learning optimization problems using quantum computers. - Venkat R. Dasari; Mee Seong Im; Lubjana Beshaj (CoRR, 2019)

Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. - Serge Kas Hanna; Rawad Bitar; Parimal Parag; Venkat Dasari 001; Salim El Rouayheb (ICASSP, 2020)

Genetic optimization algorithms applied toward mission computability models. - Mee Seong Im; Venkat R. Dasari (CoRR, 2020)

Virtual and Augmented Reality Applications to Support Data Analysis and Assessment of Science and Engineering. - Simon Su; Vincent Perry; Luis G. Bravo; Sue Kase; Heather Roy; Katherine Cox; Venkat R. Dasari (Comput. Sci. Eng., 2020)

Model-Distributed DNN Training for Memory-Constrained Edge Computing Devices. - Pengzhen Li; Hulya Seferoglu; Venkat R. Dasari; Erdem Koyuncu (LANMAN, 2021)

Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention. - Jayoung Lee; Pengcheng Wang 001; Ran Xu 003; Venkat Dasari 001; Noah Weston; Yin Li 003; Saurabh Bagchi; Somali Chaterji (EMDL@MobiSys, 2021)

Virtuoso: Video-based Intelligence for real-time tuning on SOCs. - Jayoung Lee; Pengcheng Wang 001; Ran Xu 003; Venkat Dasari 001; Noah Weston; Yin Li 003; Saurabh Bagchi; Somali Chaterji (CoRR, 2021)

Private and rateless adaptive coded matrix-vector multiplication. - Rawad Bitar; Yuxuan Xing; Yasaman Keshtkarjahromi; Venkat R. Dasari; Salim El Rouayheb; Hulya Seferoglu (EURASIP J. Wirel. Commun. Netw., 2021)

E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning. - Alperen Görmez; Venkat R. Dasari; Erdem Koyuncu (IJCNN, 2022)

Computational complexity reduction of deep neural networks. - Mee Seong Im; Venkat R. Dasari (CoRR, 2022)

Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning. - Serge Kas Hanna; Rawad Bitar; Parimal Parag; Venkat Dasari 001; Salim El Rouayheb (CoRR, 2022)

Deep learning acceleration at the resource-constrained tactical edge. - Billy E. Geerhart; Venkat R. Dasari; Peng Wang; Brian Rapp (IEEE Big Data, 2023)

Real-Time Camera-to-Lidar Calibration for Autonomous Robotic Systems at the Edge. - Ju Wang; Venkat R. Dasari; Billy E. Geerhart; Brian Rapp; Peng Wang (IEEE Big Data, 2023)

Virtuoso: Energy- and Latency-aware Streamlining of Streaming Videos on Systems-on-Chips. - Jayoung Lee; Pengcheng Wang 001; Ran Xu 003; Sarthak Jain; Venkat Dasari 001; Noah Weston; Yin Li 003; Saurabh Bagchi; Somali Chaterji (ACM Trans. Design Autom. Electr. Syst., 2023)

Walk for Learning: A Random Walk Approach for Federated Learning From Heterogeneous Data. - Ghadir Ayache; Venkat R. Dasari; Salim El Rouayheb (IEEE J. Sel. Areas Commun., 2023)

Semantic Edge Computing and Semantic Communications in 6G networks: A unifying survey and research challenges. - Milin Zhang 002; Mohammad Abdi; Venkat R. Dasari; Francesco Restuccia 001 (Comput. Networks, 2025)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments. - Jacob Sander; Achraf Cohen; Venkat R. Dasari; Kristen Brent Venable; Brian Jalaian (CoRR, 2025)

Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. - Jacob Sander; David Moe; Achraf Cohen; Kristen B. Venable; Venkat R. Dasari; Brian Jalaian (CoRR, 2025)