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Milos Manic

Virginia Commonwealth University · US
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Area of research
Artificial Intelligence · Computer Networks and Communications
Research interest
Research interests include Computer science, Fuzzy logic, Data mining, Anomaly detection, Artificial neural network, and HVAC.
h-index
citations
1,199
works
52
NIH funding
primary concept
email

Recent publications

Cyber and Physical Anomaly Detection in Smart-Grids
2019cited by 38position: lastdoi
Demonstrating Hybrid Heat Transport and Energy Conversion System Performance Characterization Using Intelligent Control Systems
2017cited by 0position: lastdoi
Building Energy Management Systems: The Age of Intelligent and Adaptive Buildings
IEEE Industrial Electronics Magazine 2016cited by 241position: firstdoi
Multi-use high-technology testbed
2016cited by 0position: middledoi
Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions
IEEE Transactions on Industrial Informatics 2014cited by 110position: middledoi
Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks
IEEE Transactions on Industrial Informatics 2014cited by 65position: lastdoi
Vulnerability identification and classification via text mining bug databases
2014cited by 57position: middledoi
FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems
IEEE Transactions on Cybernetics 2014cited by 49position: middledoi
EEG based brain activity monitoring using Artificial Neural Networks
2014cited by 27position: lastdoi
Data driven fuzzy membership function generation for increased understandability
2014cited by 16position: lastdoi
Next Generation Emergency Communication Systems via Software Defined Networks
2014cited by 14position: firstdoi
Neural Network based downscaling of Building Energy Management System data
2014cited by 10position: lastdoi
Optimal placement of Phasor Measurement Units in power grids using Memetic Algorithms
2014cited by 10position: middledoi
Driving behavior prompting framework for improving fuel efficiency
2014cited by 7position: middledoi
Fuzzy logic based force-feedback for obstacle collision avoidance of robot manipulators
2014cited by 7position: lastdoi
INFORMATION-BASED ALGORITHMIC DESIGN OF A NEURAL NETWORK CLASSIFIER
International Journal of Computing 2014cited by 3position: lastdoi
Dynamic fuzzy force field based force-feedback for collision avoidance in robot manipulators
2014cited by 2position: lastdoi
A database driven memetic algorithm for fuzzy set optimization
2014cited by 0position: lastdoi
Fuzzy Contexts (Type C) and fuzzymorphism to solve situational discontinuity problems
2014cited by 0position: lastdoi
Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness
IEEE Transactions on Industrial Informatics 2013cited by 30position: middledoi
Wireless Sensor Network Configuration—Part II: Adaptive Coverage for Decentralized Algorithms
IEEE Transactions on Industrial Informatics 2013cited by 30position: lastdoi
Wireless Sensor Network Configuration—Part I: Mesh Simplification for Centralized Algorithms
IEEE Transactions on Industrial Informatics 2013cited by 24position: lastdoi
Human machine interaction via brain activity monitoring
2013cited by 16position: lastdoi
Shadowed Type-2 Fuzzy Logic Systems
2013cited by 16position: lastdoi
Clustering of web search results based on an Iterative Fuzzy C-means Algorithm and Bayesian Information Criterion
2013cited by 9position: middledoi
Fuzzy linguistic knowledge based behavior extraction for building energy management systems
2013cited by 9position: middledoi
Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average
2013cited by 9position: middledoi
Improving Control System Cyber-State Awareness Using Known Secure Sensor Measurements
Lecture notes in computer science 2013cited by 8position: middledoi
TopicSearch - Personalized Web Clustering Engine Using Semantic Query Expansion, Memetic Algorithms and Intelligent Agents
Polibits 2013cited by 6position: middledoi
A fuzzy framework with modeling language for type 1 and type 2 application development
2013cited by 4position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Dumidu Wijayasekara · Virginia Commonwealth University20 papers (2012–2016)Ondrej Linda · University of Idaho16 papers (2012–2014)Craig Rieger · Virginia Commonwealth University7 papers (2012–2019)Miles McQueen · University of Idaho7 papers (2012–2014)Kasun Amarasinghe · Virginia Commonwealth University6 papers (2014–2019)Kevin McCarty · University of Idaho4 papers (2012–2014)Udhay Ravishankar · University of Idaho4 papers (2012–2013) · 3 papers (2012–2014) · 3 papers (2012–2013) · 2 papers (2013–2013) · 2 papers (2013–2013)Joel Hewlett · University of Idaho2 papers (2012–2014)Enrique Herrera‐Viedma · City University of Hong Kong2 papers (2013–2013) · 2 papers (2013–2013)Elizabeth León · University of Idaho2 papers (2013–2013)Kevin Handy · University of Idaho1 papers (2014–2014)Hari Challa · University of Idaho1 papers (2019–2019)Robert E. Hiromoto · University of Idaho1 papers (2014–2014) · 1 papers (2012–2012)Lee Ostrum · University of Idaho1 papers (2017–2017)
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