Deepjyoti Deka

130 papers A* 1A 2C 5Misc 3Journal 94Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes. CoRR Jie Feng, Yuanyuan Shi, Deepjyoti Deka
2026	J	`jnl`	NeuroFeat: An adaptive neurological EEG feature engineering approach for improved classification of major depressive disorder. Biomed. Signal Process. Control. Nitin Choudhury, Daisy Das, Deepjyoti Deka, Rajdeep Ghosh, Nabamita Deb, Ebrahim Ghaderpour
2025	J	`jnl`	Gaussian Processes in Power Systems: Techniques, Applications, and Future Works. CoRR Bendong Tan, Tong Su, Yu Weng, Ketian Ye, Parikshit Pareek, Petr Vorobev, Hung D. Nguyen, Junbo Zhao, Deepjyoti Deka
2025	J	`jnl`	Learning Networks From Wide-Sense Stationary Stochastic Processes. IEEE Trans. Signal Inf. Process. over Networks Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri, Deepjyoti Deka, Gautam Dasarathy
2025	A*	`conf`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. ICML Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka
2025	J	`jnl`	Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes. CoRR Daniel Glover, Parikshit Pareek, Deepjyoti Deka, Anamika Dubey
2025	J	`jnl`	Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids. CoRR Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka, Hao Zhu
2025	J	`jnl`	The value of storage in electricity distribution: The role of markets. CoRR Dirk Lauinger, Deepjyoti Deka, Sungho Shin
2024	J	`jnl`	A Parametric, Second-Order Cone Representable Model of Fairness for Decision-Making Problems. CoRR Kaarthik Sundar, Deepjyoti Deka, Russell Bent
2024	—	`conf`	Contributions of Individual Generators to Nodal Carbon Emissions. e-Energy Yize Chen, Deepjyoti Deka, Yuanyuan Shi
2024	J	`jnl`	Equitable Routing - Rethinking the Multiple Traveling Salesman Problem. CoRR Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar
2024	J	`jnl`	Importance Sampling Approach to Chance-Constrained DC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Aleksander Lukashevich, Vyacheslav Gorchakov, Petr Vorobev, Deepjyoti Deka, Yury Maximov
2024	A	`conf`	Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. AISTATS Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
2024	J	`jnl`	Learning Distribution Grid Topologies: A Tutorial. IEEE Trans. Smart Grid Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
2024	J	`jnl`	Learning Networks from Wide-Sense Stationary Stochastic Processes. CoRR Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri, Deepjyoti Deka, Gautam Dasarathy
2024	J	`jnl`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. CoRR Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra
2024	J	`jnl`	Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Trans. Artif. Intell. Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina
2023	J	`jnl`	Contributions of Individual Generators to Nodal Carbon Emissions. CoRR Yize Chen, Deepjyoti Deka, Yuanyuan Shi
2023	J	`jnl`	Data-Efficient Power Flow Learning for Network Contingencies. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	J	`jnl`	Fairly Extreme: Minimizing Outages Equitably. CoRR Kaarthik Sundar, Deepjyoti Deka, Russell Bent
2023	J	`jnl`	GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2023	J	`jnl`	GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2023	J	`jnl`	Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	J	`jnl`	Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. CoRR Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
2023	—	`conf`	Malicious Traffic Classification Using Convolutional Neural Network. ICCCNT Nitin Choudhury, Deepjyoti Deka, Aryan Tewari, Soham Gaur, Satyajit Sarmah, Vangmayee Sharda, Sitesh Gautam
2023	J	`jnl`	Optimal Power System Topology Control Under Uncertain Wildfire Risk. CoRR Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu
2023	—	`conf`	PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels. HICSS Wenting Li, Deepjyoti Deka
2023	J	`jnl`	Topology Learning in Radial Dynamical Systems With Unreliable Data. IEEE Trans. Control. Netw. Syst. Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andrew G. Lamperski, Murti V. Salapaka
2022	J	`jnl`	Can locational disparity of prosumer energy optimization due to inverter rules be limited? CoRR Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Dirk Van Hertem
2022	J	`jnl`	Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2022	J	`jnl`	Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen A. Budennyy, Yury Maximov, Deepjyoti Deka
2022	J	`jnl`	Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. CoRR Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta
2022	J	`jnl`	Efficient Topology Design Algorithms for Power Grid Stability. IEEE Control. Syst. Lett. Siddharth Bhela, Harsha Nagarajan, Deepjyoti Deka, Vassilis Kekatos
2022	A	`conf`	Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs. AISTATS Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
2022	J	`jnl`	Learning Distribution Grid Topologies: A Tutorial. CoRR Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
2022	J	`jnl`	Markovian Decentralized Ensemble Control for Demand Response. CoRR Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
2022	J	`jnl`	Markovian Decentralized Ensemble Control for Demand Response. IEEE Control. Syst. Lett. Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
2022	J	`jnl`	Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. IEEE Trans. Smart Grid Ali Hassan, Deepjyoti Deka, Yury Dvorkin
2022	J	`jnl`	Ranking-Based Physics-Informed Line Failure Detection in Power Grids. CoRR Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjyoti Deka, Yury Maximov
2022	J	`jnl`	Tractable Learning in Underexcited Power Grids. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
2021	—	`conf`	Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. IEEE BigData Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta
2021	J	`jnl`	Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. IEEE Trans. Smart Grid Mohini Bariya, Deepjyoti Deka, Alexandra von Meier
2021	J	`jnl`	Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory. CoRR Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
2021	J	`jnl`	Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems. CoRR Wenting Li, Deepjyoti Deka
2021	J	`jnl`	Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach. CoRR Ali Hassan, Deepjyoti Deka, Yury Dvorkin
2020	J	`jnl`	A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications. CoRR Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2020	J	`jnl`	A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications. Proc. IEEE Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2020	J	`jnl`	Data-Driven Learning and Load Ensemble Control. CoRR Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin
2020	J	`jnl`	Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines. IEEE Trans. Smart Grid Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis, Deepjyoti Deka
2020	—	`conf`	Energy Storage Optimization for Grid Reliability. e-Energy Md Umar Hashmi, Ana Busic, Deepjyoti Deka, Lucas Pereira
2020	J	`jnl`	Energy Storage Optimization for Grid Reliability. CoRR Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira, Ana Busic
2020	J	`jnl`	Estimating Linear Dynamical Networks of Cyclostationary Processes. CoRR Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka
2020	J	`jnl`	Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations. IEEE Trans. Smart Grid Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2020	J	`jnl`	Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. CoRR Mohini Bariya, Deepjyoti Deka, Alexandra von Meier
2020	J	`jnl`	Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2020	J	`jnl`	Learning With End-Users in Distribution Grids: Topology and Parameter Estimation. IEEE Trans. Control. Netw. Syst. Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2020	J	`jnl`	Physics Regulated Neural Network for High Impedance Faults Detection. CoRR Wenting Li, Deepjyoti Deka
2020	J	`jnl`	Physics informed topology learning in networks of linear dynamical systems. Autom. Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Michael Chertkov, Murti V. Salapaka
2020	J	`jnl`	Topology Learning in Radial Dynamical Systems with Unreliable Data. CoRR Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andy Lamperski, Murti V. Salapaka
2020	J	`jnl`	Tractable learning in under-excited power grids. CoRR Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
2019	J	`jnl`	An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations. CoRR Ignacio Losada Carreno, Anna Scaglione, Anatoly Zlotnik, Deepjyoti Deka, Kaarthik Sundar
2019	J	`jnl`	Arbitrage with Power Factor Correction using Energy Storage. CoRR Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Lucas Pereira, Scott Backhaus
2019	C	`conf`	Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation. ACC Siddharth Bhela, Deepjyoti Deka, Harsha Nagarajan, Vassilis Kekatos
2019	C	`conf`	Exact Topology Learning in a Network of Cyclostationary Processes. ACC Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
2019	J	`jnl`	Exact Topology Learning in a Network of Cyclostationary Processes. CoRR Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
2019	J	`jnl`	Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. CoRR Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2019	J	`jnl`	Learning a Generator Model from Terminal Bus Data. CoRR Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov
2019	J	`jnl`	Learning for DC-OPF: Classifying active sets using neural nets. CoRR Deepjyoti Deka, Sidhant Misra
2019	J	`jnl`	Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. IEEE Trans. Smart Grid Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2019	J	`jnl`	Stochastic AC Optimal Power Flow: A Data-Driven Approach. CoRR Ilyès Mezghani, Sidhant Misra, Deepjyoti Deka
2019	—	`conf`	Stochastic Battery Operations using Deep Neural Networks. ISGT Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov
2019	J	`jnl`	Stochastic and Distributionally Robust Load Ensemble Control. CoRR Ali Hassan, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
2018	—	`conf`	Data-Driven Identification of a Thermal Network in Multi-Zone Building. CDC Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
2018	J	`jnl`	Data-driven identification of a thermal network in multi-zone building. CoRR Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka
2018	—	`conf`	Is Machine Learning in Power Systems Vulnerable? SmartGridComm Yize Chen, Yushi Tan, Deepjyoti Deka
2018	J	`jnl`	Is Machine Learning in Power Systems Vulnerable? CoRR Yize Chen, Yushi Tan, Deepjyoti Deka
2018	J	`jnl`	Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes. CoRR Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2018	Misc	`conf`	Learning in Power Distribution Grids under Correlated Injections. ACSSC Sejun Park, Deepjyoti Deka, Michael Chertkov
2018	J	`jnl`	Learning with End-Users in Distribution Grids: Topology and Parameter Estimation. CoRR Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2018	J	`jnl`	Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. CoRR Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2018	J	`jnl`	Physics Informed Topology Learning in Networks of Linear Dynamical Systems. CoRR Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Misha Chertkov, Murti V. Salapaka
2018	J	`jnl`	Real-time Fault Localization in Power Grids With Convolutional Neural Networks. CoRR Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang
2018	J	`jnl`	Structure Learning in Power Distribution Networks. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2018	J	`jnl`	Structure- and Physics-Preserving Reductions of Power Grid Models. Multiscale Model. Simul. Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott N. Backhaus
2018	J	`jnl`	Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids. CoRR Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2018	C	`conf`	Topology Learning of Radial Dynamical Systems with Latent Nodes. ACC Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
2018	J	`jnl`	Topology Learning of Radial Dynamical Systems with Latent Nodes. CoRR Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
2018	—	`conf`	Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov
2017	J	`jnl`	Analytical Models for Power Networks: The Case of the Western U.S. and ERCOT Grids. IEEE Trans. Smart Grid Deepjyoti Deka, Sriram Vishwanath, Ross Baldick
2017	J	`jnl`	Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources. CoRR Ali Hassan, Yury Dvorkin, Deepjyoti Deka, Michael Chertkov
2017	—	`conf`	Estimating topology and injection statistics in distribution grids with hidden nodes. SmartGridComm Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2017	J	`jnl`	Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid. CoRR Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, Murti V. Salapaka
2017	J	`jnl`	Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. CoRR Sejun Park, Deepjyoti Deka, Michael Chertkov
2017	C	`conf`	Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid. ACC Saurav Talukdar, Deepjyoti Deka, Donatello Materassi, Murti V. Salapaka
2017	—	`conf`	Integrated multi-scale data analytics and machine learning for the distribution grid. SmartGridComm Emma M. Stewart, Philip Top, Michael Chertkov, Deepjyoti Deka, Scott Backhaus, Andrey Y. Lokhov, Ciaran M. Roberts, Val Hendrix, Sean Peisert, Anthony Florita, Thomas J. King, Matthew J. Reno
2017	—	`conf`	Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics. e-Energy Saurav Talukdar, Deepjyoti Deka, Blake Lundstrom, Michael Chertkov, Murti V. Salapaka
2017	J	`jnl`	Learning the Exact Topology of Undirected Consensus Networks. CoRR Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka
2017	—	`conf`	Learning the exact topology of undirected consensus networks. CDC Saurav Talukdar, Deepjyoti Deka, Sandeep Attree, Donatello Materassi, Murti V. Salapaka
2017	J	`jnl`	Online Learning of Power Transmission Dynamics. CoRR Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov
2017	J	`jnl`	Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints. CoRR Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2017	J	`jnl`	Optimal Topology Design for Disturbance Minimization in Power Grids. CoRR Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus
2017	C	`conf`	Optimal topology design for disturbance minimization in power grids. ACC Deepjyoti Deka, Harsha Nagarajan, Scott Backhaus
2017	—	`conf`	State and noise covariance estimation in power grids using limited nodal PMUs. GlobalSIP Deepjyoti Deka, Armin Zare, Andrey Y. Lokhov, Mihailo R. Jovanovic, Michael Chertkov
2017	J	`jnl`	Structure- & Physics- Preserving Reductions of Power Grid Models. CoRR Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2017	J	`jnl`	Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery. CoRR Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2016	J	`jnl`	Estimating Distribution Grid Topologies: A Graphical Learning based Approach. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Estimating distribution grid topologies: A graphical learning based approach. PSCC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation. HICSS Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2016	J	`jnl`	Learning Topology of Distribution Grids using only Terminal Node Measurements. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	J	`jnl`	Learning Topology of the Power Distribution Grid with and without Missing Data. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Learning topology of distribution grids using only terminal node measurements. SmartGridComm Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Learning topology of the power distribution grid with and without missing data. ECC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	J	`jnl`	Tractable Structure Learning in Radial Physical Flow Networks. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Tractable structure learning in radial physical flow networks. CDC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2015	J	`jnl`	Data Attacks on Power Grids: Leveraging Detection. CoRR Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	—	`conf`	Data attacks on power grids: Leveraging detection. ISGT Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	J	`jnl`	Jamming aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation. CoRR Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	J	`jnl`	One Breaker is Enough: Hidden Topology Attacks on Power Grids. CoRR Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	J	`jnl`	Optimal Data Attacks on Power Grids: Leveraging Detection & Measurement Jamming. CoRR Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	—	`conf`	Optimal data attacks on power grids: Leveraging detection & measurement jamming. SmartGridComm Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2015	J	`jnl`	Structural Vulnerability of Power Grids to Disasters: Bounds, Adversarial Attacks and Reinforcement. CoRR Deepjyoti Deka, Sriram Vishwanath
2015	—	`conf`	Structural vulnerability of power grids to disasters: Bounds and reinforcement measures. ISGT Deepjyoti Deka, Sriram Vishwanath
2015	J	`jnl`	Structure Learning in Power Distribution Networks. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2014	—	`conf`	Attacking power grids with secure meters: The case for breakers and Jammers. INFOCOM Workshops Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2014	Misc	`conf`	Generative models for cellular social networks. ICNC Deepjyoti Deka, Sriram Vishwanath
2014	J	`jnl`	Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation. CoRR Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2014	Misc	`conf`	Optimal hidden SCADA attacks on power grid: A graph theoretic approach. ICNC Deepjyoti Deka, Ross Baldick, Sriram Vishwanath
2013	—	`conf`	Generative Growth Model for Power Grids. SITIS Deepjyoti Deka, Sriram Vishwanath
2012	J	`jnl`	Network Models for Power Grids: A Generative Approach CoRR Deepjyoti Deka, Sriram Vishwanath
2011	—	`conf`	PMU placement and error control using belief propagation. SmartGridComm Deepjyoti Deka, Sriram Vishwanath