Evaluation of Projection Algorithms. - Gautam Biswas; Anil K. Jain 001; Richard C. Dubes (IEEE Trans. Pattern Anal. Mach. Intell., 1981)

Some experiments in two-dimensional grammatical inference. - Gautam Biswas; Richard C. Dubes (Pattern Recognit. Lett., 1984)

A Knowledge-Based System Approach to Document Retrieval. - Gautam Biswas; Viswanath Subramanian; James C. Bezdek (CAIA, 1985)

Raising User Proficiency Through Active Assistance: An Intelligent Editor. - Manton M. Matthews; Gautam Biswas (CAIA, 1985)

Decision support systems: An expert systems approach. - Arun Sen; Gautam Biswas (Decis. Support Syst., 1985)

A knowledge-based approach to online document retrieval system design. - Gautam Biswas; James C. Bezdek; Robert L. Oakman (ISMIS, 1986)

Transitive Closures of Fuzzy Thesauri for Information-Retrieval Systems. - James C. Bezdek; Gautam Biswas; Li-ya Huang (Int. J. Man Mach. Stud., 1986)

An assistance system for UNIX text formatters. - Gautam Biswas; Manton M. Matthews; Antang Huang (ACM Conference on Computer Science, 1987)

A response generation mechanism for an intelligent active assistance system. - Ronald L. Sobczak; Manton M. Matthews; Gautam Biswas (ACM Conference on Computer Science, 1987)

MIDST: An Expert System Shell for Mixed Initiative Reasoning. - Gautam Biswas; Tejwansh S. Anand (ISMIS, 1987)

Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis. - Miao-Li Pai; Gautam Biswas; Christopher G. St. C. Kendall; James C. Bezdek (ISMIS, 1987)

Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell. - Gautam Biswas; Tejwansh S. Anand (UAI, 1987)

Knowledge-assisted document retrieval: I. The natural-language interface. - Gautam Biswas; James C. Bezdek; Marisol Marques; Viswanath Subramanian (J. Am. Soc. Inf. Sci., 1987)

Knowledge-assisted document retrieval: II. The retrieval process. - Gautam Biswas; James C. Bezdek; Viswanath Subramanian; Marisol Marques (J. Am. Soc. Inf. Sci., 1987)

Oases: An Expert System for Operations Analysis the System for Cause Analysis. - Gautam Biswas; Robert Abramczyk; Michael Oliff (IEEE Trans. Syst. Man Cybern., 1987)

A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge. - Gautam Biswas; James C. Bezdek (ISMIS, 1988)

An expert decision support system for production control. - Gautam Biswas; Michael Oliff; Arun Sen (Decis. Support Syst., 1988)

Using the Dempster-shafer scheme in a diagnostic expert system shell. - Gautam Biswas; Tejwansh S. Anand (Int. J. Approx. Reason., 1988)

A Rule Network for Efficient Implementation of a Mixed-Initiative Reasoning Scheme. - Gautam Biswas; Xudong Yu (ACM Conference on Computer Science, 1989)

Applications of qualitative modeling to knowledge-based risk assessment studies. - Gautam Biswas; Kenneth A. Debelak; Kazuhiko Kawamura (IEA/AIE (1), 1989)

An intelligent tutoring system for CMOS digital design. - Neeraj Kaul; C. J. Kee; Gautam Biswas (IEA/AIE (2), 1989)

Utilizing multilevel models and reasoning for diagnosis of a complex electro-mechanical system. - John A. Smith; Gautam Biswas (IEA/AIE (1), 1989)

An intelligent tutoring system for basic set theory. - Jingwei Xia; Gautam Biswas (IEA/AIE (2), 1989)

The Thought Experiment Approach to Qualitative Physics. - David L. Hibler; Gautam Biswas (IJCAI, 1989)

Qualitative modeling in engineering applications. - Gautam Biswas; William J. Hagins; Kenneth A. Debelak (SMC, 1989)

Adventures in qualitative modeling-a qualitative heart model. - Jerry B. Weinberg; Gautam Biswas; Lori A. Weinberg (SMC, 1989)

Globe-Trotter: an intelligent flight itinerary planner. - Prasanta K. Bose; Gautam Biswas; Adithya M. Rao Padala (IEEE Expert, 1989)

A Belief Management Architecture for Diagnostic Problem Solving. - N. Serdar Uckun; Benoit M. Dawant; Gautam Biswas; Kazuhiko Kawamura (IEA/AIE (Vol. 1), 1990)

Continuing Adventures in Qualitative Modeling - A Qualitative Heart Model. - Jerry B. Weinberg; Gautam Biswas; N. Serdar Uckun (IEA/AIE (Vol. 1), 1990)

CHECKER: An Efficient Algorithm for Knowledge Base Verification. - Xudong Yu; Gautam Biswas (IEA/AIE (Vol. 2), 1990)

Belief functions and belief maintenance in artificial intelligence. - Prakash P. Shenoy; Gautam Biswas (Int. J. Approx. Reason., 1990)

Playmaker: a Knowledge-Based Approach to Characterizing hydrocarbon Plays. - Gautam Biswas; Xudong Yu; William J. Hagins; James C. Bezdek; John Strobel; Christopher G. St. C. Kendall; Robert L. Cannon (Int. J. Pattern Recognit. Artif. Intell., 1990)

Conceptual Clustering and Exploratory Data Analysis. - Gautam Biswas; Jerry B. Weinberg; Qian Yang; Glenn R. Koller (ML, 1991)

Conceptual Clustering with Systematic Missing Values. - Jerry B. Weinberg; Gautam Biswas; Glenn R. Koller (ML, 1992)

Multi-level qualitative reasoning applied to CMOS digital circuits. - Neeraj Kaul; Gautam Biswas; Bharat L. Bhuva (Artif. Intell. Eng., 1992)

A Formal Modeling Scheme for Continuous Systems: Focus on Diagnosis. - Gautam Biswas; Xudong Yu (IJCAI, 1993)

Extending Component Connection Modeling for Analyzing Complex Physical Systems. - Gautam Biswas; Stefanos Manganaris; Xudong Yu (IEEE Expert, 1993)

Applying AI Clustering to Engineering Tasks. - Douglas H. Fisher; Ling Xu; James R. Carnes; Yoram Reich; Steven J. Fenves; Jason Chen; Richard G. Shiavi 001; Gautam Biswas; Jerry B. Weinberg (IEEE Expert, 1993)

Generating Plans To Succeed in Uncertain Environments. - Sugato Bagchi; Gautam Biswas; Kazuhiko Kawamura (AIPS, 1994)

Knowledge-Based Scientific Discovery in Geological Databases. - Cen Li; Gautam Biswas (KDD, 1995)

A Formal Hybrid Modeling Scheme for Handling Discontinuities in Physical System Models. - Pieter J. Mosterman; Gautam Biswas (AAAI/IAAI, Vol. 2, 1996)

Interactive task planning under uncertainty and goal changes. - Sugato Bagchi; Gautam Biswas; Kazuhiko Kawamura (Robotics Auton. Syst., 1996)

Intelligence group report. - Gautam Biswas; Tamio Arai; Moenes Iskarous (Robotics Auton. Syst., 1996)

Monitoring, Prediction, and Fault Isolation in Dynamic Physical Systems. - Pieter J. Mosterman; Gautam Biswas (AAAI/IAAI, 1997)

Conceptual Clustering with Numeric-and-Nominal Mixed Data - A New Similarity Based System. - Cen Li; Gautam Biswas (AISTATS, 1997)

Sliding Mode Model Semantics and Simulation for Hybrid Systems. - Pieter J. Mosterman; Feng Zhao 001; Gautam Biswas (Hybrid Systems, 1997)

Formal Specifications for Hybrid Dynamical Systems. - Pieter J. Mosterman; Gautam Biswas (IJCAI (1), 1997)

Performance Evaluation of Contract Net-Based Heterarchical Scheduling for Flexible Manufacturing Systems. - Ashraf Saad; Kazuhiko Kawamura; Gautam Biswas (Intell. Autom. Soft Comput., 1997)

Combined qualitative-quantitative steady-state diagnosis of continuous-valued systems. - Gautam Biswas; Ravi Kapadia; Xudong Yu (IEEE Trans. Syst. Man Cybern. Part A, 1997)

An Ontology for Transitions in Physical Dynamic Systems. - Pieter J. Mosterman; Feng Zhao 001; Gautam Biswas (AAAI/IAAI, 1998)

ITERATE: a conceptual clustering algorithm for data mining. - Gautam Biswas; Jerry B. Weinberg; Douglas H. Fisher (IEEE Trans. Syst. Man Cybern. Part C, 1998)

Model-based Support for Mutable Parametric Design Optimization. - Ravi Kapadia; Gautam Biswas (AAAI/IAAI, 1999)

Clustering sequence data using hidden Markov model representation. - Cen Li; Gautam Biswas (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 1999)

Building Hybrid Observers for Complex Dynamic Systems Using Model Abstractions. - Pieter J. Mosterman; Gautam Biswas (HSCC, 1999)

Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification. - Cen Li; Gautam Biswas (IDA, 1999)

Diagnosis of continuous valued systems in transient operating regions. - Pieter J. Mosterman; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 1999)

Bayesian Fault Detection and Diagnosis in Dynamic Systems. - Uri Lerner; Ronald Parr; Daphne Koller; Gautam Biswas (AAAI/IAAI, 2000)

Hybrid Systems Diagnosis. - Sheila A. McIlraith; Gautam Biswas; Dan Clancy; Vineet Gupta 001 (HSCC, 2000)

Towards Procedures for Systematically Deriving Hybrid Models of Complex Systems. - Pieter J. Mosterman; Gautam Biswas (HSCC, 2000)

A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models. - Cen Li; Gautam Biswas (ICML, 2000)

Improving clustering with hidden Markov models using Bayesian model selection. - Cen Li; Gautam Biswas (SMC, 2000)

Building observers to address fault isolation and control problems in hybrid dynamic systems. - Sriram Narasimhan; Gautam Biswas; Gabor Karsai; Tal Pasternak; Feng Zhao 001 (SMC, 2000)

A comprehensive methodology for building hybrid models of physical systems. - Pieter J. Mosterman; Gautam Biswas (Artif. Intell., 2000)

Reports on the AAAI Spring Symposia (March 1999). - David J. Musliner; Barney Pell; Wolff Dobson; Kai Goebel; Gautam Biswas; Sheila A. McIlraith; Giuseppina C. Gini; Sven Koenig; Shlomo Zilberstein; Weixiong Zhang (AI Mag., 2000)

USCSH: An Active Intelligent Assistance System. - Manton M. Matthews; Walter Pharr; Gautam Biswas; Harish Neelakandan (Artif. Intell. Rev., 2000)

Signal interpretation for monitoring and diagnosis, a cooling system testbed. - Eric-Jan Manders; Gautam Biswas; Pieter J. Mosterman; Lee A. Barford; Robert Joel Barnett (IEEE Trans. Instrum. Meas., 2000)

Task planning under uncertainty using a spreading activation network. - Sugato Bagchi; Gautam Biswas; Kazuhiko Kawamura (IEEE Trans. Syst. Man Cybern. Part A, 2000)

Fault-Adaptive Control: A CBS Application. - Gabor Karsai; Gautam Biswas; Tal Pasternak; Sriram Narasimhan; Gábor Péceli; Gyula Simon; Tamás Kovácsházy (ECBS, 2001)

Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study. - Cen Li; Gautam Biswas; Mike B. Dale; Pat Dale (IDA, 2001)

MDS: An Integrated Architecture for Associational and Model-Based Diagnosis. - Xudong Yu; Gautam Biswas; Jerry B. Weinberg (Appl. Intell., 2001)

Online safety control of a class of hybrid systems. - Sherif Abdelwahed; Gabor Karsai; Gautam Biswas (CDC, 2002)

An Approach to Model-Based Diagnosis of Hybrid Systems. - Sriram Narasimhan; Gautam Biswas (HSCC, 2002)

Matryoshka: A HMM based temporal data clustering methodology for modeling system dynamics. - Cen Li; Gautam Biswas; Mike B. Dale; Pat Dale (Intell. Data Anal., 2002)

A Hybrid Modeling and Simulation Methodology for Dynamic Physical Systems. - Pieter J. Mosterman; Gautam Biswas (Simul., 2002)

A Bayesian approach for structural learning with hidden Markov models. - Cen Li; Gautam Biswas (Sci. Program., 2002)

An approach for fault detection and isolation in dynamic systems from distributed measurements. - Eric-Jan Manders; Lee A. Barford; Gautam Biswas (IEEE Trans. Instrum. Meas., 2002)

Unsupervised Learning with Mixed Numeric and Nominal Data. - Cen Li; Gautam Biswas (IEEE Trans. Knowl. Data Eng., 2002)

Teachable Agents: Learning by Teaching Environments for Science Domains. - Krittaya Leelawong; Karun Viswanath; Joan M. Davis; Gautam Biswas; Nancy Vye; Kadira Belynne; John D. Bransford (IAAI, 2003)

Intelligent user interface design for teachable agent systems. - Joan M. Davis; Krittaya Leelawong; Kadira Belynne; Bobby Bodenheimer; Gautam Biswas; Nancy Vye; John D. Bransford (IUI, 2003)

Discrete abstraction and supervisory control of switching systems. - Rong Su 001; Sherif Abdelwahed; Gabor Karsai; Gautam Biswas (SMC, 2003)

Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks. - Surya Dev Pathak; David M. Dilts; Gautam Biswas (WSC, 2003)

A Multi-Agent Architecture Implementation of Learning by Teaching Systems. - Karun Viswanath; Bilikiss Adebiyi; Krittaya Leelawong; Gautam Biswas (ICALT, 2004)

Developing Learning by Teaching Environments That Support Self-Regulated Learning. - Gautam Biswas; Krittaya Leelawong; Kadira Belynne; Karun Viswanath; Daniel L. Schwartz 001; Joan M. Davis (Intelligent Tutoring Systems, 2004)

Simulating Growth Dynamics in Complex Adaptive Supply Networks. - Surya Dev Pathak; David M. Dilts; Gautam Biswas (WSC, 2004)

Robust state-based supervisory control of discrete event systems. - Sherif Abdelwahed; Gabor Karsai; Gautam Biswas (CCA, 2005)

A hybrid control system design and implementation for a three tank testbed. - Jian Wu; Gautam Biswas; Sherif Abdelwahed; Eric-Jan Manders (CCA, 2005)

Teaching about Dynamic Processes A Teachable Agents Approach. - Ruchi Gupta; Yanna Wu; Gautam Biswas (AIED, 2005)

Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure. - Jason Tan; Christopher D. Beers; Ruchi Gupta; Gautam Biswas (AIED, 2005)

Learning By Teaching: A New Agent Paradigm For Educational Software. - Gautam Biswas; Krittaya Leelawong; Daniel L. Schwartz 001; Nancy Vye (Appl. Artif. Intell., 2005)

Introducing embedded software and systems education and advanced learning technology in an engineering curriculum. - Janos Sztipanovits; Gautam Biswas; Ken Frampton; Aniruddha S. Gokhale; Larry Howard; Gabor Karsai; Tak-John Koo; Xenofon D. Koutsoukos; Douglas C. Schmidt (ACM Trans. Embed. Comput. Syst., 2005)

A Decision-Theoretic Planner with Dynamic Compound Reconfiguration for Distributed Real-Time Applications. - John S. Kinnebrew; Nishanth Shankaran; Gautam Biswas; Douglas C. Schmidt (AAAI, 2006)

Building Efficient simulations from Hybrid bond Graph Models. - Christopher D. Beers; Eric-Jan Manders; Gautam Biswas; Pieter J. Mosterman (ADHS, 2006)

Distributed Diagnosis of Coupled Mobile Robots. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (ICRA, 2006)

The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments. - Jason Tan; Gautam Biswas (Intelligent Tutoring Systems, 2006)

Component-oriented modeling of hybrid dynamic systems using the Generic Modeling Environment. - Eric-Jan Manders; Gautam Biswas; Nagabhushan Mahadevan; Gabor Karsai (MDB/MOMPES, 2006)

A framework for (re)deploying components in distributed real-time and embedded systems. - Nishanth Shankaran; Jaiganesh Balasubramanian; Douglas C. Schmidt; Gautam Biswas; Patrick J. Lardieri; Ed Mulholland; Thomas Damiano (SAC, 2006)

A Qualitative Approach to Multiple Fault Isolation in Continuous Systems. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (AAAI, 2007)

Multi-level Methods for Combined Diagnostics and Prognostics. - Gautam Biswas; Sankaran Mahadevan (AAAI Fall Symposium: Artificial Intelligence for Prognostics, 2007)

Workshop on Metacognition and Self-Regulated Learning in ITSs. - Ido Roll; Vincent Aleven; Roger Azevedo; Ryan Shaun Joazeiro de Baker; Gautam Biswas; Cristina Conati; Amanda Harris 001; Rosemary Luckin; Antonija Mitrovic; Tom Murray 001; Barbara White; Philip H. Winne (AIED, 2007)

Effect of Metacognitive Support on Student Behaviors in Learning by Teaching Environments. - Jason Tan; John Wagster; Yanna Wu; Gautam Biswas (AIED, 2007)

Fault diagnosis of continuous systems using discrete-event methods. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (CDC, 2007)

Simulation-Based Game Learning Environments: Building and Sustaining a Fish Tank. - Jason Tan; Gautam Biswas (DIGITEL, 2007)

Efficient Simulation of Component-Based Hybrid Models Represented as Hybrid Bond Graphs. - Matthew J. Daigle; Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos (HSCC, 2007)

A Decision-Theoretic Planner with Dynamic Component Reconfiguration for Distributed Real-Time Applications. - John S. Kinnebrew; Ankit Gupta; Nishanth Shankaran; Gautam Biswas; Douglas C. Schmidt (ISADS, 2007)

Two-phase electrohydrodynamic simulations using a volume-of-fluid approach. - Gaurav Tomar; Daniel Gerlach; Gautam Biswas; Norbert Alleborn; Ashutosh Sharma; Franz Durst; Samuel W. J. Welch; Antonio Delgado (J. Comput. Phys., 2007)

On the Evolutionary Dynamics of Supply Network Topologies. - Surya Dev Pathak; David M. Dilts; Gautam Biswas (IEEE Trans. Engineering Management, 2007)

Distributed Diagnosis in Formations of Mobile Robots. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (IEEE Trans. Robotics, 2007)

Model-Based Diagnosis of Hybrid Systems. - Sriram Narasimhan; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Mining Student Behavior Models in Learning-by-Teaching Environments. - Hogyeong Jeong; Gautam Biswas (EDM, 2008)

An Integrated Approach to Parametric and Discrete Fault Diagnosis in Hybrid Systems. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (HSCC, 2008)

Bringing CBLEs into Classrooms: Experiences with the Betty's Brain System. - John Wagster; Henry Kwong; Gautam Biswas; Daniel L. Schwartz 001 (ICALT, 2008)

Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems. - Nilabja Roy; John S. Kinnebrew; Nishanth Shankaran; Gautam Biswas; Douglas C. Schmidt (ISORC, 2008)

Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments. - Hogyeong Jeong; Amit Gupta; Rod D. Roscoe; John Wagster; Gautam Biswas; Daniel L. Schwartz 001 (Intelligent Tutoring Systems, 2008)

Designing Learning by Teaching Agents: The Betty's Brain System. - Krittaya Leelawong; Gautam Biswas (Int. J. Artif. Intell. Educ., 2008)

Report on the Eighteenth International Workshop on Principles of Diagnosis (DX-07). - Gautam Biswas; Xenofon D. Koutsoukos (AI Mag., 2008)

Diffie-Hellman technique: extended to multiple two-party keys and one multi-party key. - Gautam Biswas (IET Inf. Secur., 2008)

Promoting Motivation and Self-Regulated Learning Skills through Social Interactions in Agent-based Learning Environments. - Gautam Biswas; Hogyeong Jeong; Rod D. Roscoe; Brian Sulcer (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2009)

Preface. - Roberto Pirrone; Roger Azevedo; Gautam Biswas (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2009)

A Reconfigurable Architecture for Building Intelligent Learning Environments. - Joseph G. Linn; James Segedy; Hogyeong Jeong; Benjamin Podgursky; Gautam Biswas (AIED, 2009)

Detection using intermittent observations for passive wireless sensors. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (ACC, 2009)

Factoring Dynamic Bayesian Networks based on structural observability. - Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos (CDC, 2009)

Maximum likelihood detection with intermittent observations. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (CISS, 2009)

Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs. - Aníbal Bregón; Belarmino Pulido; Gautam Biswas; Xenofon D. Koutsoukos (ECMS, 2009)

Efficient Allocation of Hierarchically-Decomposable Tasks in a Sensor Web Contract Net. - John S. Kinnebrew; Gautam Biswas (IAT, 2009)

Intelligent Resource Management and Dynamic Adaptation in a Distributed Real-time and Embedded Sensor Web System. - John S. Kinnebrew; William Otte; Nishanth Shankaran; Gautam Biswas; Douglas C. Schmidt (ISORC, 2009)

Construction and Evaluation of Animated Teachable Agents. - Bobby Bodenheimer; Betsy Williams; Mattie Ruth Kramer; Karun Viswanath; Ramya Balachandran; Kadira Belynne; Gautam Biswas (J. Educ. Technol. Soc., 2009)

Designing Distributed Diagnosers for Complex Continuous Systems. - Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos (IEEE Trans Autom. Sci. Eng., 2009)

An Integrated Planning and Adaptive Resource Management Architecture for Distributed Real-Time Embedded Systems. - Nishanth Shankaran; John S. Kinnebrew; Xenofon D. Koutsoukos; Chenyang Lu 001; Douglas C. Schmidt; Gautam Biswas (IEEE Trans. Computers, 2009)

A Qualitative Event-Based Approach to Continuous Systems Diagnosis. - Matthew J. Daigle; Xenofon D. Koutsoukos; Gautam Biswas (IEEE Trans. Control. Syst. Technol., 2009)

Modeling and Measuring Self-Regulated Learning in Teachable Agent Environments. - John S. Kinnebrew; Gautam Biswas; William Brian Sulcer (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Organizing Committee. - Roberto Pirrone; Roger Azevedo; Gautam Biswas (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Preface: Meta-Cognitive Educational Systems: One Step Forward. - Roberto Pirrone; Roger Azevedo; Gautam Biswas (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models. - Hogyeong Jeong; Gautam Biswas; Julie Johnson; Larry Howard (EDM, 2010)

Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas; Douglas C. Schmidt (ICAART (2), 2010)

Are ILEs Ready for the Classroom? Bringing Teachers into the Feedback Loop. - James Segedy; Brian Sulcer; Gautam Biswas (Intelligent Tutoring Systems (2), 2010)

Using factored bond graphs for distributed diagnosis of physical systems. - Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos (SpringSim, 2010)

Visual exploratory data analysis methods to characterize student progress in intelligent learning environments. - Gautam Biswas; Brian Sulcer (T4E, 2010)

Reports of the AAAI 2009 Fall Symposia. - Roger Azevedo; Trevor J. M. Bench-Capon; Gautam Biswas; Ted Carmichael; Nancy L. Green; Mirsad Hadzikadic; Oluwasanmi Koyejo; Unmesh Kurup; Simon Parsons; Roberto Pirrone; Henry Prakken; Alexei V. Samsonovich; et al. (AI Mag., 2010)

Measuring Self-Regulated Learning Skills through Social Interactions in a teachable Agent Environment. - Gautam Biswas; Hogyeong Jeong; John S. Kinnebrew; Brian Sulcer; Rod D. Roscoe (Res. Pract. Technol. Enhanc. Learn., 2010)

A Comprehensive Diagnosis Methodology for Complex Hybrid Systems: A Case Study on Spacecraft Power Distribution Systems. - Matthew J. Daigle; Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos; Ann Patterson-Hine; Scott Poll (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Special Issue on Model-Based Diagnostics. - Peter Struss; Gregory M. Provan; Johan de Kleer; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Modeling Learner's Cognitive and Metacognitive Strategies in an Open-Ended Learning Environment. - James René Segedy; John S. Kinnebrew; Gautam Biswas (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Scaffolding to Support Learning of Ecology in Simulation Environments. - Satabdi Basu; Gautam Biswas; Pratim Sengupta (AIED, 2011)

Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems. - Maria Mendiburo; Gautam Biswas (AIED, 2011)

Investigating the Relationship between Dialogue Responsiveness and Learning in a Teachable Agent Environment. - James Segedy; John S. Kinnebrew; Gautam Biswas (AIED, 2011)

Knowledge Construction with Causal Concept Maps in a Teachable Agent Environment. - James Segedy; John S. Kinnebrew; Gautam Biswas (AIED, 2011)

Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis. - Carlos J. Alonso-González; Noemi Moya Alonso; Gautam Biswas (CAEPIA, 2011)

Transmission Control Policy design for decentralized detection in sensor networks. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (DCOSS, 2011)

Transmission control policy design for decentralized detection in tree topology sensor networks. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (FUSION, 2011)

The Interaction of Children's Concepts about Agents and Their Ability to Use an Agent-Based Tutoring System. - Alicia M. Hymel; Daniel T. Levin; Jonathan Barrett; Megan M. Saylor; Gautam Biswas (HCI (4), 2011)

Multiple representations to support learning of complex ecological processes in simulation environments. - Satabdi Basu; Gautam Biswas (ICCE, 2011)

A Scaffolding framework to support learning in multi-agent based simulation environments. - Satabdi Basu; Gautam Biswas (ICCE, 2011)

Reports of the AAAI 2010 Fall Symposia. - Roger Azevedo; Gautam Biswas; Dan Bohus; Ted Carmichael; Mark A. Finlayson; Mirsad Hadzikadic; Catherine Havasi; Eric Horvitz; Takayuki Kanda 001; Oluwasanmi Koyejo; William F. Lawless; Douglas B. Lenat; et al. (AI Mag., 2011)

Identification of critical inspection samples among railroad wheels by similarity-based agglomerative clustering. - Brant Stratman; Sankaran Mahadevan; Cen Li; Gautam Biswas (Integr. Comput. Aided Eng., 2011)

Efficient simulation of hybrid systems: A hybrid bond graph approach. - Indranil Roychoudhury; Matthew J. Daigle; Gautam Biswas; Xenofon D. Koutsoukos (Simul., 2011)

Integrating Computational Thinking with K-12 Science Education - A Theoretical Framework. - Pratim Sengupta; John S. Kinnebrew; Gautam Biswas; Douglas B. Clark (CSEDU (2), 2012)

A Cross-Layer Design for Decentralized Detection in Tree Sensor Networks. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (DCOSS, 2012)

Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. - François Bouchet; John S. Kinnebrew; Gautam Biswas; Roger Azevedo (EDM, 2012)

Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. - John S. Kinnebrew; Gautam Biswas (EDM, 2012)

A Science Learning Environment using a Computational Thinking Approach. - Satabdi Basu; John S. Kinnebrew; Amanda Dickes; Amy Voss Farris; Pratim Sengupta; Jaymes Winger; Gautam Biswas (ICCE, 2012)

Design-Based Research in Practice: A Technology-Based Classroom Experiment that Explores How Students Use Virtual Manipulatives to Order Groups of Fractions. - Maria Mendiburo; Gautam Biswas; Ted S. Hasselbring (ICLS, 2012)

Supporting Student Learning using Conversational Agents in a Teachable Agent Environment. - James Segedy; John S. Kinnebrew; Gautam Biswas (ICLS, 2012)

Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. - Chetan S. Kulkarni; Jose Celaya; Gautam Biswas; Kai Goebel (Infotech@Aerospace, 2012)

Interactive Virtual Representations, Fractions, and Formative Feedback. - Maria Mendiburo; Brian Sulcer; Gautam Biswas; Ted S. Hasselbring (ITS, 2012)

Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment. - James Segedy; John S. Kinnebrew; Gautam Biswas (ITS, 2012)

Substitutive competition: Virtual pets as competitive buffers to alleviate possible negative influence on pupils. - Zhi-Hong Chen; Chih-Yueh Chou; Gautam Biswas; Tak-Wai Chan (Br. J. Educ. Technol., 2012)

Aircraft Power Generators: Hybrid Modeling and Simulation for Fault Detection. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (IEEE Trans. Aerosp. Electron. Syst., 2012)

A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND. - Aníbal Bregón; Gautam Biswas; Belarmino Pulido (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. - Erik Frisk; Aníbal Bregón; Jan Åslund; Mattias Krysander; Belarmino Pulido; Gautam Biswas (IEEE Trans. Syst. Man Cybern. Part A, 2012)

A Computational Thinking Approach to Learning Middle School Science. - Satabdi Basu; Gautam Biswas (AIED, 2013)

Workshop on Scaffolding in Open-Ended Learning Environments (OELEs). - Gautam Biswas; Roger Azevedo; Valerie Shute; Susan Bull (AIED, 2013)

Digital Games and Science Learning: Design Principles and Processes to Augment Commercial Game Design Conventions. - Douglas B. Clark; Stephen S. Killingsworth; Mario Martinez-Garza; Grant Van Eaton; Gautam Biswas; John S. Kinnebrew; Pratim Sengupta; Kara Krinks; Deanne Adams; Haifeng Zhang; James Hughes (AIED Workshops, 2013)

Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning. - Babak Khosravifar; Roger Azevedo; Reza Feyzi-Behnagh; Michelle Taub; Gautam Biswas; John S. Kinnebrew (AIED Workshops, 2013)

A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas (AIED Workshops, 2013)

Guided Skill Practice as an Adaptive Scaffolding Strategy in Open-Ended Learning Environments. - James Segedy; Gautam Biswas; Emily Feitl Blackstock; Akailah Jenkins (AIED, 2013)

Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments. - James Segedy; Kirk M. Loretz; Gautam Biswas (AIED Workshops, 2013)

Workshop on Self-Regulated Learning in Educational Technologies (SRL@ET): Supporting, Modeling, Evaluating, and Fostering Metacognition with Computer-Based Learning Environments. - Amali Weerasinghe; Benedict du Boulay; Gautam Biswas (AIED, 2013)

Analyzing Students' Metacognitive Strategies in Open-Ended Learning Environments. - Gautam Biswas; John S. Kinnebrew; James Segedy (CogSci, 2013)

CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling. - Satabdi Basu; Amanda Dickes; John S. Kinnebrew; Pratim Sengupta; Gautam Biswas (CSEDU, 2013)

Modeling And Simulation Semantics For Building Large-Scale Multi-Domain Embedded Systems. - Joshua D. Carl; Zsolt Lattman; Gautam Biswas (ECMS, 2013)

Mining Temporally-Interesting Learning Behavior Patterns. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas (EDM, 2013)

A transition model for cognitions about agency. - Daniel T. Levin; Julie A. Adams; Megan M. Saylor; Gautam Biswas (HRI, 2013)

An Investigation of the Effect of Competition on the Way Students Engage in Game-Based Deliberate Practice. - Maria Mendiburo; Laura K. Williams; James Segedy; Mason Wright; Gautam Biswas; Ted S. Hasselbring (ICALT, 2013)

How do students' learning behaviors evolve in Scaffolded Open-Ended Learning Environments? - Gautam Biswas; John S. Kinnebrew; Daniel L. C. Mack (ICCE, 2013)

Model-driven assessment of learners in open-ended learning environments. - James Segedy; Kirk M. Loretz; Gautam Biswas (LAK, 2013)

Smart Open-Ended Learning Environments That Support Learners Cognitive and Metacognitive Processes. - Gautam Biswas; James Segedy; John S. Kinnebrew (CHI-KDD, 2013)

Teaching Computational Thinking Skills in C3STEM with Traffic Simulation. - Anton Dukeman; Faruk Caglar; Shashank Shekhar 001; John S. Kinnebrew; Gautam Biswas; Douglas H. Fisher; Aniruddha S. Gokhale (CHI-KDD, 2013)

Preface. - Gautam Biswas; Susan Bull (Int. J. Artif. Intell. Educ., 2013)

Shallow strategy development in a teachable agent environment designed to support self-regulated learning. - Rod D. Roscoe; James Segedy; Brian Sulcer; Hogyeong Jeong; Gautam Biswas (Comput. Educ., 2013)

Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. - Pratim Sengupta; John S. Kinnebrew; Satabdi Basu; Gautam Biswas; Douglas B. Clark (Educ. Inf. Technol., 2013)

Guest Editorial: Special Section on Learning Systems for Science and Technology Education. - Bert Bredeweg; Bruce M. McLaren; Gautam Biswas (IEEE Trans. Learn. Technol., 2013)

Robust residual selection for fault detection. - Hamed Khorasgani; Daniel E. Jung; Gautam Biswas; Erik Frisk; Mattias Krysander (CDC, 2014)

Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. - Cheng Ye 001; John S. Kinnebrew; Gautam Biswas (EDM, 2014)

Using a Cognitive/Metacognitive Task Model to Analyze Students Learning Behaviors. - Gautam Biswas; John S. Kinnebrew; James René Segedy (HCI (25), 2014)

Investigating Student Generated Computational Models of Science. - Satabdi Basu; Anton Dukeman; John S. Kinnebrew; Gautam Biswas; Pratim Sengupta (ICLS, 2014)

Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. - Benjamin S. Goldberg; Robert A. Sottilare; Ido Roll; Susanne P. Lajoie; Eric G. Poitras; Gautam Biswas; James René Segedy; John S. Kinnebrew; Elaine Stampfer Wiese; Yanjin Long; Vincent Aleven; Kenneth R. Koedinger; et al. (ICLS, 2014)

Assessing Student Performance in a Computational-Thinking Based Science Learning Environment. - Satabdi Basu; John S. Kinnebrew; Gautam Biswas (Intelligent Tutoring Systems, 2014)

A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas; Chih-Kai Chang (PAKDD Workshops, 2014)

An approach to parallelizing the simulation of complicated modelica models. - Joshua D. Carl; Gautam Biswas; Sandeep Neema; Ted Bapty (SummerSim, 2014)

An event-based distributed diagnosis framework using structural model decomposition. - Aníbal Bregón; Matthew J. Daigle; Indranil Roychoudhury; Gautam Biswas; Xenofon D. Koutsoukos; Belarmino Pulido (Artif. Intell., 2014)

Graphical methods for diagnosis of dynamic systems: Review. - Belkacem Ould Bouamama; Gautam Biswas; Rui Loureiro; Rochdi Merzouki (Annu. Rev. Control., 2014)

Cross-layer design for decentralized detection in WSNs. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (EURASIP J. Adv. Signal Process., 2014)

A Model-Based Behavior Analysis Approach for Open-Ended Environments. - James Segedy; Gautam Biswas; Brian Sulcer (J. Educ. Technol. Soc., 2014)

A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. - Aníbal Bregón; Gautam Biswas; Belarmino Pulido; Carlos Alonso González; Hamed Khorasgani (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments. - James René Segedy; John S. Kinnebrew; Gautam Biswas (J. Learn. Anal., 2014)

Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information. - Cheng Ye 001; Gautam Biswas (J. Learn. Anal., 2014)

Studying Student Use of Self-Regulated Learning Tools in an Open-Ended Learning Environment. - John S. Kinnebrew; Brian C. Gauch; James Segedy; Gautam Biswas (AIED, 2015)

Towards Using Coherence Analysis to Scaffold Students in Open-Ended Learning Environments. - James René Segedy; Gautam Biswas (AIED Workshops, 2015)

Coherence Over Time: Understanding Day-to-Day Changes in Students' Open-Ended Problem Solving Behaviors. - James Segedy; John S. Kinnebrew; Gautam Biswas (AIED, 2015)

Demonstration: Using GIFT to Support Students' Understanding of the UrbanSim Counter Insurgency Simulation. - James René Segedy; John S. Kinnebrew; Gautam Biswas (AIED Workshops, 2015)

A Comparsion Of State Estimation Algorithms For Hybrid Systems. - Gan Zhou; Wenquan Feng; Gautam Biswas; Wenfeng Zhang; XiuMei Guan (ECMS, 2015)

Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. - Cheng Ye 001; John S. Kinnebrew; James René Segedy; Gautam Biswas (EDM, 2015)

Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. - James René Segedy; John S. Kinnebrew; Benjamin S. Goldberg; Robert A. Sottilare; Gautam Biswas (HCI (15), 2015)

Relations between modeling behavior and learn- ing in a Computational Thinking based science learning environment. - Satabdi Basu; Gautam Biswas; John S. Kinnebrew; Tazrian Rafi (ICCE, 2015)

Behavior Prediction in MOOCs using Higher Granularity Temporal Information. - Cheng Ye 001; John S. Kinnebrew; Gautam Biswas; Brent J. Evans; Douglas H. Fisher; Gayathri Narasimham; Katherine A. Brady (L@S, 2015)

Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. - Hamed Khorasgani; Gautam Biswas; Daniel E. Jung (DX, 2015)

Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. - Oliver Niggemann; Gautam Biswas; John S. Kinnebrew; Hamed Khorasgani; Sören Volgmann; Andreas Bunte (DX, 2015)

A Bayesian Framework for Fault Diagnosis of Hybrid Linear Systems. - Gan Zhou; Gautam Biswas; Wenquan Feng; Hongbo Zhao 001; XiuMei Guan (DX, 2015)

Model-Based Design of Tree WSNs for Decentralized Detection. - Ashraf Tantawy; Xenofon D. Koutsoukos; Gautam Biswas (Sensors, 2015)

Cloud-hosted simulation-as-a-service for high school STEM education. - Faruk Caglar; Shashank Shekhar 001; Aniruddha S. Gokhale; Satabdi Basu; Tazrian Rafi; John S. Kinnebrew; Gautam Biswas (Simul. Model. Pract. Theory, 2015)

Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. - Satabdi Basu; Gautam Biswas; John S. Kinnebrew (AAAI, 2016)

Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. - Yi Dong; John S. Kinnebrew; Gautam Biswas (EDM, 2016)

Modeling Learners' Metacognitive Skills in Open Ended Learning Environments. - Ramkumar Rajendran; Gautam Biswas (ICCE, 2016)

Detecting Metacognitive Strategies through Performance Analyses in Open-Ended Learning Environments. - Michael Tscholl; Gautam Biswas; Benjamin Goldberg 002; Robert A. Sottilare (ICCE, 2016)

Data Collection in Open Ended Learning Environment for Learning Analytics. - Michael Tscholl; Ramkumar Rajendran; Gautam Biswas; Benjamin S. Goldberg; Robert A. Sottilare (ICCE, 2016)

Providing Adaptive Scaffolds and Measuring Their Effectiveness in Open Ended Learning Environments. - Satabdi Basu; Gautam Biswas (ICLS, 2016)

Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. - Brian C. Gauch; Gautam Biswas (ITS, 2016)

From Design to Implementation to Practice a Learning by Teaching System: Betty's Brain. - Gautam Biswas; James René Segedy; Kritya Bunchongchit (Int. J. Artif. Intell. Educ., 2016)

A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition. - Matthew J. Daigle; Aníbal Bregón; Xenofon D. Koutsoukos; Gautam Biswas; Belarmino Pulido (Eng. Appl. Artif. Intell., 2016)

Methodologies for system-level remaining useful life prediction. - Hamed Khorasgani; Gautam Biswas; Shankar Sankararaman (Reliab. Eng. Syst. Saf., 2016)

Identifying middle school students' challenges in computational thinking-based science learning. - Satabdi Basu; Gautam Biswas; Pratim Sengupta; Amanda Dickes; John S. Kinnebrew; Douglas B. Clark (Res. Pract. Technol. Enhanc. Learn., 2016)

Comparison of state estimation techniques for nonlinear hybrid systems. - Gan Zhou; Gautam Biswas; Wenfeng Zhang; Qi Zhao; Wenquan Feng (Simul., 2016)

Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods. - Ningyu Zhang 002; Gautam Biswas; Yi Dong (AIED, 2017)

Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model. - Ayan Mukhopadhyay; Yevgeniy Vorobeychik; Abhishek Dubey; Gautam Biswas (AAMAS, 2017)

Analyzing Students' Collaborative Regulation Behaviors in a Classroom-Integrated Open Ended Learning Environment. - Mona Emara; Michael Tscholl; Yi Dong; Gautam Biswas (CSCL, 2017)

A combined model-based and data-driven approach for monitoring smart buildings. - Hamed Khorasgani; Gautam Biswas (DX, 2017)

An Extended Learner Modeling Method to Assess Students' Learning Behaviors. - Yi Dong; Gautam Biswas (EDM, 2017)

Incident analysis and prediction using clustering and Bayesian network. - Geoffrey Pettet; Saideep Nannapaneni; Benjamin Stadnick; Abhishek Dubey; Gautam Biswas (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models. - Daniel L. C. Mack; Gautam Biswas; Xenofon D. Koutsoukos; Dinkar Mylaraswamy (IEEE Trans Autom. Sci. Eng., 2017)

Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning Goals. - John S. Kinnebrew; Stephen S. Killingsworth; Douglas B. Clark; Gautam Biswas; Pratim Sengupta; James Minstrell; Mario Martinez-Garza; Kara Krinks (IEEE Trans. Learn. Technol., 2017)

Integrating Model-Driven and Data-Driven Techniques for Analyzing Learning Behaviors in Open-Ended Learning Environments. - John S. Kinnebrew; James René Segedy; Gautam Biswas (IEEE Trans. Learn. Technol., 2017)

Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environment. - Satabdi Basu; Gautam Biswas; John S. Kinnebrew (User Model. User Adapt. Interact., 2017)

Datenanalyse in der intelligenten Fabrik. - Oliver Niggemann; Gautam Biswas; John S. Kinnebrew; Hamed Khorasgani; Sören Volgmann; Andreas Bunte (Handbuch Industrie 4.0 (2), 2017)

A Design-Based Approach to a Classroom-Centered OELE. - Nicole Hutchins; Gautam Biswas; Miklos Maroti; Ákos Lédeczi; Brian Broll (AIED (2), 2018)

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? - Yang Jiang; Nigel Bosch; Ryan S. Baker 001; Luc Paquette; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Allison L. Moore; Gautam Biswas (AIED (1), 2018)

Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. - Ningyu Zhang 002; Gautam Biswas (AIED (2), 2018)

A Data Driven Method for Prediction of Energy Demand in Commercial Buildings. - Avisek Naug; Gautam Biswas (CASE, 2018)

Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. - Ramkumar Rajendran; Anurag Kumar; Kelly E. Carter; Daniel T. Levin; Gautam Biswas (EDM, 2018)

Studying Synergistic Learning of Physics and Computational Thinking in a Learning by Modeling Environment. - Nicole Hutchins; Gautam Biswas; Luke Conlin; Mona Emara; Shuchi Grover; Satabdi Basu; Kevin W. McElhaney (ICCE, 2018)

A Temporal Model of Learner Behaviors in OELEs using Process Mining. - Ramkumar Rajendran; Anabil Munshi; Mona Emara; Gautam Biswas (ICCE, 2018)

A Principled Approach to Designing Assessments That Integrate Science and Computational Thinking. - Satabdi Basu; Kevin W. McElhaney; Shuchi Grover; Christopher J. Harris 002; Gautam Biswas (ICLS, 2018)

Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. - Anabil Munshi; Ramkumar Rajendran; Jaclyn Ocumpaugh; Allison L. Moore; Gautam Biswas (ICLS, 2018)

How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? - Michelle Taub; Nicholas V. Mudrick; Ramkumar Rajendran; Yi Dong; Gautam Biswas; Roger Azevedo (ITS, 2018)

Data Driven Methods for Energy Reduction in Large Buildings. - Avisek Naug; Gautam Biswas (SMARTCOMP, 2018)

Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. - Anabil Munshi; Ramkumar Rajendran; Jaclyn Ocumpaugh; Gautam Biswas; Ryan S. Baker 001; Luc Paquette (UMAP, 2018)

A methodology for monitoring smart buildings with incomplete models. - Hamed Khorasgani; Gautam Biswas (Appl. Soft Comput., 2018)

Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. - Daniel L. C. Mack; Gautam Biswas; Hamed Khorasgani; Dinkar Mylaraswamy; Raj Bharadwaj (Autom., 2018)

Do Students' Learning Behaviors Differ when they Collaborate in Open-Ended Learning Environments? - Mona Emara; Ramkumar Rajendran; Gautam Biswas; Mahmod Okasha; Adel Alsaeid Elbanna (Proc. ACM Hum. Comput. Interact., 2018)

Structural Fault Detection and Isolation in Hybrid Systems. - Hamed Khorasgani; Gautam Biswas (IEEE Trans Autom. Sci. Eng., 2018)

A Systematic Approach for Analyzing Students' Computational Modeling Processes in C2STEM. - Nicole Hutchins; Gautam Biswas; Shuchi Grover; Satabdi Basu; Caitlin Snyder (AIED (2), 2019)

Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. - Anabil Munshi; Gautam Biswas (AIED (2), 2019)

Understanding Students' Model Building Strategies Through Discourse Analysis. - Caitlin Snyder; Nicole Hutchins; Gautam Biswas; Shuchi Grover (AIED (2), 2019)

Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. - Ningyu Zhang 002; Gautam Biswas; Jennifer L. Chiu; Kevin W. McElhaney (AIED (1), 2019)

Analyzing Students' Synergistic Learning Processes in Physics and CT by Collaborative Discourse Analysis. - Caitlin Snyder; Nicole Hutchins; Gautam Biswas; Mona Emara; Shuchi Grover; Luke Conlin (CSCL, 2019)

Affect Sequences and Learning in Betty's Brain. - Juliana Ma. Alexandra L. Andres; Jaclyn Ocumpaugh; Ryan S. Baker 001; Stefan Slater; Luc Paquette; Yang Jiang; Shamya Karumbaiah; Nigel Bosch; Anabil Munshi; Allison L. Moore; Gautam Biswas (LAK, 2019)

Integrating Computational Modeling in K-12 STEM Classrooms. - Gautam Biswas; Nicole Hutchins; Ákos Lédeczi; Shuchi Grover; Satabdi Basu (SIGCSE, 2019)

Teaching Cybersecurity with Networked Robots. - Ákos Lédeczi; Miklós Maróti; Hamid Zare; Bernard Yett; Nicole Hutchins; Brian Broll; Péter Völgyesi; Michael B. Smith; Timothy Darrah; Mary Metelko; Xenofon D. Koutsoukos; Gautam Biswas (SIGCSE, 2019)

Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. - Avisek Naug; Ibrahim Ahmed 005; Gautam Biswas (SMARTCOMP, 2019)

Approximate Q-learning approach for Health Aware Control Design. - Mayank S. Jha; Didier Theilliol; Gautam Biswas; Philippe Weber (SysTol, 2019)

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. - Anabil Munshi; Shitanshu Mishra; Ningyu Zhang 002; Luc Paquette; Jaclyn Ocumpaugh; Ryan S. Baker 001; Gautam Biswas (AIED (1), 2020)

Understanding Collaborative Question Posing During Computational Modeling in Science. - Caitlin Snyder; Nicole M. Hutchins; Gautam Biswas; Mona Emara; Bernard Yett; Shitanshu Mishra (AIED (2), 2020)

Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects. - Bernard Yett; Nicole Hutchins; Caitlin Snyder; Ningyu Zhang 002; Shitanshu Mishra; Gautam Biswas (AIED (2), 2020)

Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. - Ningyu Zhang 002; Gautam Biswas; Kevin W. McElhaney; Satabdi Basu; Elizabeth A. McBride; Jennifer L. Chiu (AIED (1), 2020)

Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. - Xiaoman Zi; Shiyao Li; Roxanne Rashedi; Marian Rushdy; Ben Lane; Shitanshu Mishra; Gautam Biswas; Amy Swanson; Amy Kinsman; Nicole Bardett; Zachary Warren; Pablo Juárez; et al. (CogSci, 2020)

Using Log and Discourse Analysis to Improve Understanding of Collaborative Programming. - Bernard Yett; Caitlin Snyder; Ningyu Zhang 002; Nicole Hutchins; Shitanshu Mishra; Gautam Biswas (ICCE, 2020)

"Doing Physics" And "Doing Code": Students' Framing During Computational Modeling in Physics. - Luke Conlin; Nicole Hutchins; Shuchi Grover; Gautam Biswas (ICLS, 2020)

Examining Students' Debugging and Regulation Processes During Collaborative Computational Modeling in Science. - Mona Emara; Shuchi Grover; Nicole Hutchins; Gautam Biswas; Caitlin Snyder (ICLS, 2020)

Integrating STEM and Computing in PK-12: Operationalizing Computational Thinking for STEM Learning and Assessment. - Shuchi Grover; Gautam Biswas; Amanda Dickes; Amy Voss Farris; Pratim Sengupta; Beth Covitt; Kristin Gunckel; Alan Berkowitz; John Moore; Golnaz Arastoopour Irgens; Michael Horn 001; Uri Wilensky; et al. (ICLS, 2020)

Computational Thinking in Support of Learning and Transfer. - Nicole Hutchins; Gautam Biswas; Rachel Wolf; Doris B. Chin; Shuchi Grover; Kristen Pilner Blair (ICLS, 2020)

Turning Bugs into Learning Opportunities: Understanding Debugging Processes, Perspectives, and Pedagogies. - Yasmin B. Kafai; Gautam Biswas; Nicole Hutchins; Caitlin Snyder; Karen Brennan; Paulina Haduong; Kayla DesPortes; Morgan M. Fong; Virginia J. Flood; Oia Walker-van Aalst; David DeLiema; Deborah A. Fields; et al. (ICLS, 2020)

Using Computational Modeling to Integrate Science and Engineering Curricular Activities. - Kevin W. McElhaney; Ningyu Zhang 002; Satabdi Basu; Elizabeth A. McBride; Gautam Biswas; Jennie Chiu (ICLS, 2020)

Opportunities and Challenges in Developing Technology-Based Social Skills Interventions for Youth With Autism Spectrum Disorder: A Qualitative Analysis of Parent Perspectives. - Roxanne Rashedi; Kemberlee Bonnet; Rebecca Schulte; David Schlundt; Amy Swanson; Amy Kinsman; Nicole Bardett; Zachary Warren; Pablo Juárez; Gautam Biswas; Maithilee Kunda (ICLS, 2020)

Towards Obtaining Facial Proxies for Gaze behaviour in TEL. - Kshitij Sharma; Shitanshu Mishra; Zacharoula K. Papamitsiou; Anabil Munshi; Bikram Kumar De; Gautam Biswas; Michail N. Giannakos (ICLS, 2020)

Exploring Synergistic Learning Processes Through Collaborative Learner-to-Learner Questioning. - Caitlin Snyder; Nicole Hutchins; Gautam Biswas; Shitanshu Mishra; Mona Emara (ICLS, 2020)

Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. - Luc Paquette; Theodore Grant; Yingbin Zhang; Gautam Biswas; Ryan Baker 001 (ICQE, 2020)

The relationship between confusion and metacognitive strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Anabil Munshi; Gautam Biswas (LAK, 2020)

A Hands-On Cybersecurity Curriculum Using a Robotics Platform. - Bernard Yett; Nicole Hutchins; Gordon Stein; Hamid Zare; Caitlin Snyder; Gautam Biswas; Mary Metelko; Ákos Lédeczi (SIGCSE, 2020)

Exploring the Relationship Between Collaborative Discourse, Programming Actions, and Cybersecurity and Computational Thinking Knowledge. - Bernard Yett; Caitlin Snyder; Nicole Hutchins; Gautam Biswas (TALE, 2020)

Domain-Specific Modeling Languages in Computer-Based Learning Environments: a Systematic Approach to Support Science Learning through Computational Modeling. - Nicole M. Hutchins; Gautam Biswas; Ningyu Zhang 002; Caitlin Snyder; Ákos Lédeczi; Miklós Maróti (Int. J. Artif. Intell. Educ., 2020)

Knowledge distilling based model compression and feature learning in fault diagnosis. - Wenfeng Zhang; Gautam Biswas; Qi Zhao 001; Hongbo Zhao 001; Wenquan Feng (Appl. Soft Comput., 2020)

A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. - Ibrahim Ahmed 005; Hamed Khorasgani; Gautam Biswas (CoRR, 2020)

Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Sensor selection for fault diagnosis in uncertain systems. - Daniel Jung 002; Yi Dong; Erik Frisk; Mattias Krysander; Gautam Biswas (Int. J. Control, 2020)

Multilevel Learner Modeling in Training Environments for Complex Decision Making. - Gautam Biswas; Ramkumar Rajendran; Naveeduddin Mohammed; Benjamin S. Goldberg; Robert A. Sottilare; Keith Brawner; Michael Hoffman (IEEE Trans. Learn. Technol., 2020)

Affect-Targeted Interviews for Understanding Student Frustration. - Ryan S. Baker 001; Nidhi Nasiar; Jaclyn L. Ocumpaugh; Stephen Hutt; Juliana Ma. Alexandra L. Andres; Stefan Slater; Matthew Schofield; Allison L. Moore; Luc Paquette; Anabil Munshi; Gautam Biswas (AIED (1), 2021)

A Machine Learning-Based External Assessment Engine for GIFT to Support Team Training in Dismounted Battle Drill Operations. - Caleb Vatral; Naveeduddin Mohammed; Gautam Biswas (TTW@AIED, 2021)

Students' Verbalized Metacognition During Computerized Learning. - Nigel Bosch; Yingbin Zhang; Luc Paquette; Ryan Baker 001; Jaclyn Ocumpaugh; Gautam Biswas (CHI, 2021)

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Anabil Munshi; Nigel Bosch; Ryan S. Baker 001; Yingbin Zhang; Luc Paquette; Stefan Slater; Gautam Biswas (CogSci, 2021)

RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis. - Hussain M. Mustafa; Mohini Bariya; K. S. Sajan; Ajay Chhokra; Anurag Srivastava 001; Abhishek Dubey; Alexandra von Meier; Gautam Biswas (MSCPES@CPSIoTWeek, 2021)

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Nigel Bosch; Luc Paquette; Gautam Biswas; Ryan Baker 001 (EDM, 2021)

Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development. - Jaclyn Ocumpaugh; Stephen Hutt; Juliana Ma. Alexandra L. Andres; Ryan Baker 001; Gautam Biswas (ICCE, 2021)

Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (BuildSys, 2021)

Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (SysTol, 2021)

Fault Tolerant Control combining Reinforcement Learning and Model-based Control *. - Luke Bhan; Marcos Quiñones-Grueiro; Gautam Biswas (SysTol, 2021)

Examining Student Regulation of Collaborative, Computational, Problem-Solving Processes in Open-Ended Learning Environments. - Mona Emara; Nicole Hutchins; Shuchi Grover; Caitlin Snyder; Gautam Biswas (J. Learn. Anal., 2021)

Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Gautam Biswas; Anabil Munshi (J. Learn. Anal., 2021)

Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. - Keith Cochran; Clayton Cohn; Nicole Hutchins; Gautam Biswas; Peter M. Hastings (AIED (1), 2022)

Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. - Caitlin Snyder; Cai-Ting Wen; Gautam Biswas (AIED (2), 2022)

Data-Driven Learning Control for Building Energy Management. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (ACC, 2022)

Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (CCTA, 2022)

Adaptive Scaffolding to Support Strategic Learning in an Open-Ended Learning Environment. - Anabil Munshi; Gautam Biswas; Eduardo Davalos; Olivia Logan; Gayathri Narasimham; Marian Rushdy (ICCE, 2022)

Concurrent Policy Blending and System Identification for Generalized Assistive Control. - Luke Bhan; Marcos Quiñones-Grueiro; Gautam Biswas (ICRA, 2022)

Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Clay Weston; Gautam Biswas; Dan Work (ITSC, 2022)

Measuring and Analyzing Students' Strategic Learning Behaviors in Open-Ended Learning Environments. - Ningyu Zhang 002; Gautam Biswas; Nicole Hutchins (Int. J. Artif. Intell. Educ., 2022)

Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors. - Anabil Munshi; Gautam Biswas (CoRR, 2022)

Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments. - Caleb Vatral; Gautam Biswas; Clayton Cohn; Eduardo Davalos; Naveeduddin Mohammed (Frontiers Artif. Intell., 2022)

A Theoretical Framework for Multimodal Learner Modeling and Performance Analysis in Experiential Learning Environments. - Caleb Vatral; Gautam Biswas; Benjamin Goldberg 002 (AI-GEL@AIED, 2023)

Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. - Caleb Vatral; Madison Lee; Clayton Cohn; Eduardo Davalos; Daniel T. Levin; Gautam Biswas (AIED (Posters/Late Breaking Results/...), 2023)

ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. - Eduardo Davalos; Umesh Timalsina; Yike Zhang 001; Jiayi Wu; Joyce Horn Fonteles; Gautam Biswas (IEEE Big Data, 2023)

Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoDIT, 2023)

Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas; Timothy Darrah (CoDIT, 2023)

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study. - Zhiyao Zhang; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang 009; Gautam Biswas; Daniel B. Work (ITSC, 2023)

Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. - Eduardo Davalos; Caleb Vatral; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas; Naveeduddin Mohammed; Madison Lee; Daniel T. Levin (LAK, 2023)

Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. - Nicole Hutchins; Gautam Biswas (LAK, 2023)

On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (SMARTCOMP, 2023)

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Zhiyao Zhang; Joshua Scherer; Gautam Biswas; Daniel B. Work (SMARTCOMP, 2023)

A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2023)

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; Zhiyao Zhang; Yanbing Wang; William Barbour; Gautam Biswas; Daniel B. Work (CoRR, 2023)

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. - Anabil Munshi; Gautam Biswas; Ryan Baker 001; Jaclyn Ocumpaugh; Stephen Hutt; Luc Paquette (J. Comput. Assist. Learn., 2023)

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. - Clayton Cohn; Nicole Hutchins; Tuan Le; Gautam Biswas (AAAI, 2024)

Promoting Equitable Learning Outcomes for Underserved Students in Open-Ended Learning Environments. - Joyce Horn Fonteles; Celestine E. Akpanoko; Pamela J. Wisniewski; Gautam Biswas (IDC, 2024)

Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. - T. S. Ashwin; Gautam Biswas (AIED (2), 2024)

Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. - Clayton Cohn; Caitlin Snyder; Justin Montenegro; Gautam Biswas (AIED Companion (2), 2024)

A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. - Joyce Horn Fonteles; Eduardo Davalos; T. S. Ashwin; Yike Zhang 001; Mengxi Zhou; Efrat Ayalon; Alicia Lane; Selena Steinberg; Gabriella Anton; Joshua A. Danish; Noel Enyedy; Gautam Biswas (AIED (2), 2024)

Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions. - Austin Coursey; Allan Zhang; Marcos Quiñones-Grueiro; Gautam Biswas (ACC, 2024)

Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (DX, 2024)

Data-Driven RUL Prediction Using Performance Metrics (Short Paper). - Abel Díaz-González; Austin Coursey; Marcos Quiñones-Grueiro; Chetan S. Kulkarni; Gautam Biswas (DX, 2024)

Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments. - Celestine E. Akpanoko; Ashwin T. S.; Grayson Cordell; Gautam Biswas (EDM, 2024)

An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments. - Timothy Darrah; Jeremy Frank; Marcos Quiñones-Grueiro; Gautam Biswas (ICAART (1), 2024)

GazeViz: A Web-Based Approach for Visualizing Learner Gaze Patterns in Online Educational Environment. - Eduardo Davalos; Namrata Srivastava; Yike Zhang 001; Amanda Goodwin; Gautam Biswas (ICCE, 2024)

Designing an AI-Enhanced Timeline for Monitoring Multimodal Interactions in Embodied Learning Environments. - Joyce Horn Fonteles; Namrata Srivastava; Eduardo Davalos; Ashwin T. S.; Gautam Biswas (ICCE, 2024)

Combining Multimodal Analyses of Students' Emotional and Cognitive States to Understand Their Learning Behaviors. - Ashwin T. S.; Caitlin Snyder; Celestine E. Akpanoko; Srigowri M. P.; Gautam Biswas (ICCE, 2024)

3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments. - Eduardo Davalos; Yike Zhang 001; Ashwin T. S.; Joyce Horn Fonteles; Umesh Timalsina; Gautam Biswas (ICMI Companion, 2024)

Relating Students Cognitive Processes and Learner-Centered Emotions: An Advanced Deep Learning Approach. - Ashwin T. S.; Gautam Biswas (ICMI, 2024)

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers. - Yuhang Zhang 009; Zhiyao Zhang; Marcos Quiñones-Grueiro; William Barbour; Clay Weston; Gautam Biswas; Daniel B. Work (ITSC, 2024)

Phase Re-Service in Reinforcement Learning Traffic Signal Control. - Zhiyao Zhang; George Gunter; Marcos Quiñones-Grueiro; Yuhang Zhang 009; William Barbour; Gautam Biswas; Daniel B. Work (ITSC, 2024)

Exploring Confusion and Frustration as Non-linear Dynamical Systems. - Elizabeth B. Cloude; Anabil Munshi; Juliana Ma. Alexandra L. Andres; Jaclyn Ocumpaugh; Ryan S. Baker 001; Gautam Biswas (LAK, 2024)

Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. - Caitlin Snyder; Nicole M. Hutchins; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas (LAK, 2024)

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. - Austin Coursey; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang 009; Tyler Derr; Gautam Biswas; Daniel B. Work (NeurIPS, 2024)

MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; Zhiyao Zhang; Yanbing Wang; William Barbour; Gautam Biswas; Daniel B. Work (IEEE Access, 2024)

The AI Institute for Engaged Learning. - James C. Lester; Mohit Bansal; Gautam Biswas; Cindy E. Hmelo-Silver; Jeremy Roschelle; Jonathan P. Rowe (AI Mag., 2024)

The learning analytics of computational scientific modeling with self-explanation for subgoals and demonstration scaffolding. - Cai-Ting Wen; Chen-Chung Liu; Ching-Yuan Li; Ming-Hua Chang; Shih-Hsun Fan Chiang; Hung-Ming Lin; Fu-Kwun Hwang; Gautam Biswas (Comput. Educ., 2024)

Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review. - Clayton Cohn; Eduardo Davalos; Caleb Vatral; Joyce Horn Fonteles; Hanchen David Wang; Meiyi Ma; Gautam Biswas (CoRR, 2024)

AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24. - Oliver Niggemann; Gautam Biswas; Alexander Diedrich; Jonas Ehrhardt; René Heesch; Niklas Widulle (CoRR, 2024)

Co-designing teacher support technology for problem-based learning in middle school science. - Nicole M. Hutchins; Gautam Biswas (Br. J. Educ. Technol., 2024)

Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias. - T. S. Ashwin; Nihar Sanda; Umesh Timalsina; Gautam Biswas (AIED (6), 2025)

LLMs as Educational Analysts: Transforming Multimodal Data Traces Into Actionable Reading Assessment Reports. - Eduardo Davalos; Yike Zhang 001; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin (AIED (2), 2025)

Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA). - Peter W. Foltz; Gautam Biswas; Sidney D'Mello (EDM, 2025)

Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors. - Austin Coursey; Junyi Ji; Zhiyao Zhang; William Barbour; Marcos Quiñones-Grueiro; Tyler Derr; Gautam Biswas; Daniel B. Work (ICCPS, 2025)

1000DaySim: Open-Source Traffic Simulation With Real Data Over Long Time Horizons. - Zhiyao Zhang; Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Gautam Biswas; Daniel B. Work (ICCPS, 2025)

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking. - Eduardo Davalos; Jorge Alberto Salas; Yike Zhang 001; Namrata Srivastava; Yashvitha Thatigotla; Abbey Gonzales; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin (CoRR, 2025)

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2025)

Integrating Data Science Into Undergraduate Science and Engineering Courses: Lessons Learned by Instructors in a Multiuniversity Research-Practice Partnership. - Md. Yunus Naseri; Caitlin Snyder; Katherine X. Pérez-Rivera; Sambridhi Bhandari; Habtamu Alemu Workneh; Niroj Aryal; Gautam Biswas; Erin C. Henrick; Erin R. Hotchkiss; Manoj K. Jha; Steven Jiang 001; Emily C. Kern; et al. (IEEE Trans. Educ., 2025)

A multimodal approach to support teacher, researcher and AI collaboration in STEM+C learning environments. - Clayton Cohn; Caitlin Snyder; Joyce Horn Fonteles; Ashwin T. S.; Justin Montenegro; Gautam Biswas (Br. J. Educ. Technol., 2025)

Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System. - Yuhang Zhang 009; Zhiyao Zhang; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Derek Gloudemans; Gergely Zachár; Clay Weston; Gautam Biswas; Daniel B. Work (CoRR, 2025)

CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring. - Clayton Cohn; Nicole Hutchins; Ashwin T. S.; Gautam Biswas (CoRR, 2025)

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG). - Clayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton M. Deweese; Angela Eeds; et al. (CoRR, 2025)

A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents. - Clayton Cohn; Surya Rayala; Namrata Srivastava; Joyce Horn Fonteles; Shruti Jain; Xinying Luo; Divya Mereddy; Naveeduddin Mohammed; Gautam Biswas (CoRR, 2025)