A framework for qualitative model-based reasoning about mechanisms. - Kittichai Lavangnananda (1995)

Trusted Spanning Tree for Delay Tolerant MANETs. - Apivadee Piyatumrong; Pascal Bouvry; Frédéric Guinand; Kittichai Lavangnananda (EUC (2), 2008)

Token Traversal Strategies of a Distributed Spanning Forest Algorithm in Mobile Ad Hoc - Delay Tolerant Networks. - Apivadee Piyatumrong; Patricia Ruiz; Pascal Bouvry; Frédéric Guinand; Kittichai Lavangnananda (IAIT, 2009)

A study of token traversal strategies on tree-based backbones for mobile ad hoc - delay tolerant networks. - Apivadee Piyatumrong; Pascal Bouvry; Frédéric Guinand; Kittichai Lavangnananda (ICUMT, 2009)

Effect of packetization interval on number of connections in AAC audio streaming over WLAN 802.11g. - Kittichai Lavangnananda; Chinnapong Angsuchotmetee; Pascal Bouvry (APCC, 2011)

Suitable packetization interval for using Constrained Energy Lapped Transform (CELT) CODEC in Bi-directional communication over WLAN 802.11g. - Kittichai Lavangnananda; K. Yongsakun; Pascal Bouvry (APCC, 2011)

Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation. - Kittichai Lavangnananda; Pantharee Sawasdimongkol (ICTAI, 2011)

Neural network classifier of time series: A case study of symbolic representation preprocessing for Control Chart Patterns. - Kittichai Lavangnananda; Pantharee Sawasdimongkol (ICNC, 2012)

Utilizing Symbolic Representation in Synergistic Neural Networks Classifier of Control Chart Patterns. - Kittichai Lavangnananda; Pantharee Sawasdimongkol (ICONIP (4), 2012)

A multi-objective approach for high quality tree-based backbones in mobile ad hoc networks. - Apivadee Piyatumrong; Pascal Bouvry; Frédéric Guinand; Kittichai Lavangnananda (Int. J. Space Based Situated Comput., 2012)

A Genetic Algorithm Approach to Partitioning Clustering: A Case Study on M.Sc. Applicants. - Kittichai Lavangnananda; Ratipong Poolphol (ICMLA, 2014)

A study on suitable range of packetization interval for streaming application over WLAN. - Kittichai Lavangnananda; Chinnapong Angsuchotmetee (ICIT, 2016)

Measuring data locality ratio in virtual MapReduce cluster using WorkflowSim. - Peerasak Wangsom; Kittichai Lavangnananda; Pascal Bouvry (JCSSE, 2017)

Study of discretization methods in classification. - Kittichai Lavangnananda; Supharoek Chattanachot (KST, 2017)

Chaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics. - Boonyarit Changaival; Martin Rosalie; Grégoire Danoy; Kittichai Lavangnananda; Pascal Bouvry (Int. J. Bifurc. Chaos, 2017)

Extreme Solutions NSGA-III (E-NSGA-III) for Scientific Workflow Scheduling on Cloud. - Peerasak Wangsom; Pascal Bouvry; Kittichai Lavangnananda (ICMLA, 2018)

Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification. - Jitrawadee Rapeepongpan; Praisan Padungweang; Kittichai Lavangnananda (ICNC-FSKD, 2018)

Toward real-world vehicle placement optimization in round-trip carsharing. - Boonyarit Changaival; Grégoire Danoy; Dzmitry Kliazovich; Frédéric Guinand; Matthias R. Brust; Jedrzej Musial; Kittichai Lavangnananda; Pascal Bouvry (GECCO, 2019)

Multi-objective Shipment Allocation using Extreme Nondominated Sorting Genetic Algorithm-III (E-NSGA-III). - Kittichai Lavangnananda; Peerasak Wangsom (ICMLA, 2019)

Determination of Different Sizes of Partitioning Clusters in a Highly Connected Graph. - Kittichai Lavangnananda; Chidchanok Panyarit (KST, 2019)

Multi-Objective Scheduling for Scientific Workflows on Cloud with Peer-to-Peer Clustering. - Peerasak Wangsom; Kittichai Lavangnananda; Pascal Bouvry (KST, 2019)

Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud. - Peerasak Wangsom; Kittichai Lavangnananda; Pascal Bouvry (IEEE Access, 2019)

Finding Overlapping Clusters in a Highly Connected Graph from a Given Difference Density. - Kittichai Lavangnananda; Muhammad Aslam HemmatQachmas (IEEE BigData, 2020)

NGAP: a novel hybrid metaheuristic algorithm for round-trip carsharing fleet planning. - Boonyarit Changaival; Grégoire Danoy; Dzmitry Kliazovich; Frédéric Guinand; Matthias R. Brust; Jedrzej Musial; Kittichai Lavangnananda; Pascal Bouvry (GECCO Companion, 2020)

Implementing Predictive Model for Low Birth Weight in Afghanistan. - Abdullah Zahirzada; Kittichai Lavangnananda (KST, 2021)

Implementation of Predictive Model for Diarrhea Among Afghanistan Children Based on Medical and Non-Medical Attributes. - Abdullah Zahirzada; Kittichai Lavangnananda (CSCI, 2022)

Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy. - Panissara Thanapol; Kittichai Lavangnananda; Franck Leprévost; Julien Schleich; Pascal Bouvry (ACIIDS (2), 2023)

Partitioning Graph Clustering With User-Specified Density. - Rohi Tariq; Kittichai Lavangnananda; Pascal Bouvry; Pornchai Mongkolnam (IEEE Access, 2023)

Bi-objective Optimization for Reducing Urban Network Sprawl. - Supharoek Chattanachot; Frédéric Guinand; Kittichai Lavangnananda (KST, 2024)

CGNLib: A Python library for Girvan-Newman community detection with customizable node-based centrality metrics. - T. Punnapathiran; Chinnapong Angsuchotmetee; P. Kaewkarndee; Kittichai Lavangnananda (SoftwareX, 2025)