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INTELLIGENT AGENTS AND MULTIAGENT SYSTEMS (IAMAS) GROUP Computer
Science and Engineering 260 Avery Hall Lincoln,
NE 68588-0115 TEL: (402) 472-6738 FAX: (402) 472-7767 E-mail: lksoh
at unl dot edu |
The group is led by
Charles Bessey Professor Leen-Kiat Soh with a team of students
(undergraduate, M.S. and Ph.D.) who are interested in intelligent agents and multiagent systems.
This group was founded in 2002 and has graduated thus far 8 Ph.D.
students, 24 M.S. students, and numerous undergraduate students. Our research foci in this area include
multiagent decision making in open environments, deliberative
reflective information gathering, ad hoc team formation, cognitive computing, coalition
formation, negotiation, and human scaffolding.
Our work has its applications in computer-aided education, survey
informatics, and smart grid. We have
also extended our research work to intelligent data analytics that include
image processing and adaptive decision making.
Professor Soh also
co-leads the
Research in Computing Education (RICE) Lab.
ONGOING PROJECTS Multiagent
Reasoning in Open Environments |
Considering environmental openness and learning, how should one figure out
how to carry out its actions optimally in an open envirnoment? | with Bala Subramanyam Duggirala, Ceferino
Patino IV, Tyler Billings, Alireza Saleh Abadi,
Dr. Adam Eck of Oberlin College, Dr. Prashant Doshi
of University of Georgia | supported by NSF SURGE | Developing techniques for predicting
social unrests using computational- and social science-based solutions, using multiagent simulations to model event triggering patterns |
with Praval Sharma, Muhammed Imran Sharif, Dr. Ashok Samal,
Dr. Regina Werum, Dr. Deepti
Joshi of Citadel College | supported by NGA CURRENT
MEMBERS Tyler Billings , Ph.D. in CS, 2024 – Alireza Saleh Abadi, Ph.D.
in CS, 2024 – Bala Subramanyam Duggirala, M.S. in CS, 2021 – Ceferino Patino
IV, B.S. in CS, 2024 – SELECTED PUBLICATIONS See here. INACTIVE &
PAST PROJECTS Aida Intelligent Image Analysis on Poem Identification | Building an intelligent system to automatically identify
poems in old newspapers | with Yi Liu, Chulwoo (Mike)
Pack, Dr. Liz Lorang | supported by NEH and IMLS Online MOOCs | Developing an agent-powered platform for delivering and
supporting online collaborations for students in MOOCs | with Dr. Jamie Loizzo of University of Florida, Dr. Lisa Pytlik Zilig | supported by Food for Health, UNL Adaptive
Decision Making | Analyzing and understanding decision
making in blue jays | with Dr. Jeff Stevens | supported by NSF Adaptive
Decision Making | Attention, WM, and Visual Perception
to Reduce Risk of Injuries in the Construction Industry | with Dr. Mike Dodd,
Dr. Behzad Esmaeili of
George Mason University | supported by NSF Smart Grid | Simulation of intelligent agents, both demand and
supply-side analyses (Elham Foruzan) Deliberative Reflective
Information Gathering | Observer
effect, resource-aware multiagent sensing, large team
information sharing, potential-based reward shaping (Dr. Adam Eck) Survey Informatics | Analyzing Gallup Panel data and Census ATUS data, building
self-administered and intelligent survey instruments! Funded by NSF CRN, with
collaborators Dr. Allan McCutcheon and Dr. Bob Belli. (Dr.
Adam Eck, Dr. Antje Kirschner) (Supported by NSF) Computational Unified Learning Model (C-ULM) | A multiagent
modeling and simulation of the Unified Learning Model. This framework is to our knowledge the first that investigates
sophisticated modeling of learning as a distinct process. We expect our C-ULM
to fundamentally impact research in multiagent
learning and knowledge transfer, especially when human agents are involved. (Dr.
Duane Shell) IDEASPERE | An online
environment for computer-supported collaborative argumentation (CSCA), funded
by NSF SaTC, with Dr. Lisa PytlikZillig. (LD
Miller, Bin Chen, Xi Chen) The Written Agora | An online environment for collaborative Wiki, originally funded by NSF
BDI, with Dr. Stephen Scott, on Biofinity; later
funded by NSF graduate research fellowship to support Adam Eck, NSF CPATH, NSF
TUES, to support the IC2Think project. (Adam Eck, LD Miller) Intelligent Learning
Object Guide (iLOG) | An automated learning
object metatagging framework with collaboration from
Dr. Gwen Nugent and Dr. Samal (LD Miller, Ziyang Lin) Semantic
Cyberinfrastructure for Information Discovery (SCID) | Working with Dr. Stephen
Scott, we built a framework that integrates
biological data repositories (Adam Eck,
Derrick Lam) ClassroomWiki | CSCL system for
essay writing! (Nobel Khandaker) Intelligent Learning
Materials Delivery Agent (ILMDA) | An introspective
case-based learning agent for intelligent tutoring systems (LD Miller, Todd Blank, Akira Endo, Ashok Kumar Thirunavukkaras) MINDS and ConferenceXP-Powered I-MINDS | With collaboration from Dr. Jiang Hong, we built our first
generation of CSCL system powered by multiagent
intelligence (Phanivas
Vemuri, Suresh Namala, Xuli Liu, Xuesong Zhang, Nobel Khandaker, Adam Eck, LD Miller, Kyle Dobitz) DARPA ANTS Challenge | Case-based reflective negotiation model to form coalitions
in complex environments, distributed sensor networks, with Dr. Costas Tsatsoulis (Xin Li,
Juan Luo) Conceptual Understanding
and Distributed Ontology (CUDO) | Learning to map ontology
on demand, as modeled by agents (Jingfei Xu, Chao Chen) Multiagent Games | Fox-and-Hound, and game
bots … (Kye
Halsted, Jeremy Glasser) PAST MEMBERS Praval Sharma Ph.D. CS (Co-Advisor), 2019-2024,
July 2024: Event-Specific Spatial and 5Ws
Information Extraction from Structured Documents Yi Liu Ph.D. CS (Advisor), 2016-2023,
July 2023: Image Processing Powered Convolutional Neural Network for Document Images and Beyond Chulwoo (Mike) Pack Ph.D. CS (Advisor), 2017-2023,
May 2023: Enhancing Document Layout Analysis on Historical Newspapers: Visual Representation, Pseudo-ground-truth, and Downscaling Anup Adhikari M.S. CS (Advisor), 2019-2021, November 2021:
Agent-Based Modeling of Spread of Social Unrest based on Infectious Disease Spread Model Yunhao Fan M.S. CS (Co-Advisor), 2019-2020: An Experimental Study of 5Ws Algorithms Applied to Tweets Patrick Morrow, M.S. CS (Advisor), 2018-2020,
October 2020: Investigating Factors Predicting Effective Learning in a CS Professional Development Program for K-12 Teachers Sudeep Basnet, M.S. CS (Advisor), 2017-2019,
July 2019: Analysis of Social Unrest Events Using Spatio-Temporal Data Clustering and Agent-Based Modeling Venkata Krishna Mohan Sunkara, M.S. CS (Co-Advisor), 2018-2019,
June 2019: Data Driven Approach to
Identify Journalistic 5Ws from Text Documents Pooja Ahuja, M.S. CS (Advisor), 2016-2017,
July 2017: Investigating Diversity in
Open Multiagent Team Formation Bin Chen, M.S. CS Thesis (Advisor),
2014-2017, June 2017: Investigating Agent
and Task Openness in Ad Hoc Team Formation Elham Foruzan, M.S. CS Project (Advisor), 2016
– 2017, April 2017: Distributed Energy
Management in a Microgrid: A Multiagent
Reinforcement Learning Approach Shilpa Kanal, M.S. CS Thesis (Advisor), 2014 –
2016, December 2016 (May 2017 officially): Towards
Building a Review Recommendation System that Trains Novices by Leveraging the
Actions of Experts Hariharan Arunachalam, M.S. CS Thesis (Advisor),
2014-2016, August 2016: Towards Building
an Intelligent Integrated Multi-Mode Time Diary Survey Framework Adam Eck, Ph.D., CS
(Advisor), 2011-2015, August 2015: Reflective,
Deliberative Agent-Based Information Gathering Lee Dee Miller, Ph.D. CS (Advisor), 2008-2014, November 2014: Cluster-Based Boundary of Use for Selective
Improvement to Supervised Learning Rasheed Ali Rajabzadeh, M.S. CS (Advisor), 2012-2014,
July 2014: Measuring Autonomy and Solving
General Stabilization Problems with Multi-Agent Systems Leonard Cleve Stuart, M.S. CS (Advisor), 2012-2014, April 2014: User Modeling via Machine Learning and
Rule-Based Reasoning to Understand and Predict Errors in Survey Systems Vlad Chiriacescu, M.S. CS (Advisor), 2011-2013,
November 2013: November 2013:
Understanding Human Learning using a Multiagent Based
Unified Learning Model Simulation Derrick Lam, M.S. CS (Advisor), 2009-2013, May 2013: Improving Virtual Collaboration: Modeling for Recommendation Systems in
a Classroom Wiki Environment Nobel Khandaker, Ph.D.
Dissertation (Advisor), 2005-2011, May 2011: Multiagent Coalition Formation in Uncertain Environments with Type-Changing
Influences and Its Application Towards Forming Human Coalitions XuLi Liu, Ph.D. CS (co-Advisor), 2002-2007 (April 9, 2007): APOP: Automatic
Pattern and Object-based Code Parallelization Framework for Clusters Xin Li, Ph.D. CS (Advisor), 2001-2007
(April 12, 2007): Improving Multi-Agent Coalition Formation in Complex
Environments Ziyang Lin, M.S. Project
(Advisor), 2010-2011, July 2011: Search
and Retrieval of Learning Objects Adam Eck, M.S. Thesis (Advisor), 2008-2010, November 2010, Agent Sensing with Stateful
Resource L.D. Miller, M.S. Thesis (Advisor), 2003-2007, November 2007: Genetic Algorithm Classifier System
Framework for Semi-Supervised Classification Jared Kite, M.S. Thesis (Advisor), 2003-2007,
June 2007: A Flexible Framework for Knowledge Engineering and Automation of
An Adaptive Conversational Case-Retrieval System Todd Blank, M.S. Thesis, CS (Advisor),
2003-2005, November 2005: ILMDA: An Intelligent Tutoring System with
Integrated Learning Nobel Khandaker, MS. Thesis, CS (Advisor), 2004-2005, August 2005: VALCAM
– An Auction Based Learning Enabled Multiagent
Coalition Formation Algorithm for Real-World Applications Kye Halsted, M.S.
Project, CS (Advisor), 2002-2004, December 2004: Predator/Prey Domains: Analyzing Multiagent
Communication in a Noisy Environment Xuesong Zhang, M.S.
Thesis, CS (Co-Advisor), 2002-2004, December 2004: I-MINDS: An Intelligent Multiagent System Supported Teaching and Cooperative
Learning Environment Suresh Namala, M.S. Project,
CS (Advisor), 2002-2004, November 2004: An
Intelligence Module for I-MINDS Chao Chen, M.S. Thesis, CS (Advisor), 2002-2004, November 2004: A Multiagent
Approach Using Ontology and Operational Learning to Improve Distributed
Information Retrieval