Subsections

Training of Highly Qualified Personnel (HQP)

Graduate Student Supervision

Completed

  1. Hassan Agil Alkhiri, PhD (January 2017 - January 2022). Conditional Preference Networks: Constraints and Similarity.

  2. Wael Korani, PhD (January 2020 - September 2021). Mother Tree Optimization for Solving Continuous and Discrete Optimization Problems

  3. Safa Alsafari, PhD (January 2017 - September 2021). Hate and Offensive Speech Detection on Arabic Social Media,
    recipient of the 2022 Governor General’s Academic Gold Medal
    (Co-supervision).

  4. Ayman Yafoz, PhD (January 2017 - December 2020). 2017). Customer Sentiment Analysis in Arabic Social Media.

  5. Mahdi Bidar, PhD (September 2016 - January 2020). Constraint Solving and Optimization using Nature-Inspired Techniques, (Co-supervision).

  6. Sultan Ahmed, PhD (September 2016 - December 2019). Conditional Preference Networks: Constraints, Genuine Decision, and Aggregation.

  7. Bandar Mohammed, PhD (January 2012 - February 2017). Handling Qualitative and Quantitative Preferences with Constraints in Interactive Applications. (Co-supervision).

  8. Eisa Alanazi, PhD (January 2013 - December 2016). Conditional Preference Networks: Learning and Optimization.

  9. Munira Al-Ageili. PhD (January 2009 - December 2014). Integrating Ontology-Based Information Extraction Systems and Spatial Modeling for Land Use Analysis and Simulation.

  10. Ali Hmer. PhD (Sept 2007 - April 2013). A Parallel Hybrid Metaheuristic Approach for Timetabling.

  11. Amrudee Sukpan. PhD (Sept 2002 - July 2008). Conditional and Composite (Temporal) Constraint Satisfaction Problems.

  12. Shahadet Hossain, MSc (January 2018 - February 2023). Constraint Propagation and Variable Ordering Heuristics for Solving Constrained Partial CP-nets.

  13. Kushal Dave, MSc (January 2020 - November 2022). An Interactive System For Capturing Users' Qualitative Preferences In Recommender Systems.

  14. Pablo Echavarria , MSc (January 2020 - November 2022). Web-based System with Preferences for Learning Qualitative Constraint Networks.

  15. Richmond Osei, MSc (September 2020 - October 2022). An Efficient Internet of Things (IoT) Device Fingerprinting Approach Using Machine Learning. (Co-supervision).

  16. Olusowatun Falola, MSc (September 2018 - August 2020). Internet of Things (IoT) Device Fingerprinting for Anomaly Detection. (Co-supervision).

  17. Farzana Anowar, MSc (September 2016 - November 2018). Supervised Classification Of Imbalanced Bidding Fraud Data. (Co-supervision).

  18. Mustakim Al Hilal. MSc (May 2017 - August 2018). Topic Modelling and Sentiment Analysis with the Bangla Language: A Deep Learning Approach Combined with the Latent Dirichlet Allocation.

  19. Xuegang Wang, MSc (Sept. 2014 - April 2016). A Dynamic Stage-Based Fraud Monitoring Framework For Multiple Live AuctionsCo-supervision).

  20. Yong Ket Wei, MSc (May 2014 - January 2016). Using Conflict and Support Counts for Variable and Value Ordering in CSPs.

  21. Shu (Jessie) Zhang, MSc (September 2012 - Nov. 2014). Managing Constraints and Preferences: Constrained Tradeoffs-Enhanced Conditional Preference Networks (CTCP-NETS). (Cosupervision).

  22. Ahmed Mobaraki, MSc (May 2011 - December 2013). A CSP Solver using GPUs.

  23. Reza Abbasian, MSc (Sept 2010 - April 2012). A Hierarchical Parallel GA Based Approach for Constraint Problems.

  24. Bandar Mohammed, MSc (Sept 2009 - Dec 2011). Managing Constraints and Preferences in Interactive Applications.

  25. Eisa Alanazi, MSc (May 2009 - Sept. 2011). Managing Constraints with Preferences and Uncertainty.

  26. Farnaz Ghavamifar. MSc(Jan 2008 - Oct 2010). A Novel Trustful Multi-Attribute Reverse Auction (Co-supervision).

  27. Bahareh Jafari. MSc(Sept 2007 - March 2010). Using Non-Systematic Algorithms for Variable and Value Ordering in CSPs.

  28. Nurul Anwar. MSc(Sept 2003 - July 2008). Aspect Oriented Programming (AOP) for Common Services.

  29. Rasem Rashid. MSc(Sept 2004 - June 2008). Solving the Professor to Class Assignment Problem using CSPs.

  30. Roger Barbour. MSc(Jan 2006 - April 2008). Reduction of Complexity in Path Finding Using Grid Based Methods.

  31. Jia Liu. MSc(Sept 2005 - March 2008). Managing Temporal Constraints with Uncertainty.

  32. Chang Feng. MSc(Sept 2005 - Dec 2007). Solving Combinatorial Queries in Relational Database (Co-supervision).

  33. Colin Witow. MSc(Sep 2004 - October 2006). Multiple Robot Collaboration.

  34. Xiao Feng Li. MSc(Sept 2004 - October 2006). A UML-Based Solver Tool for Combinatorial Problems (Co-supervision).

  35. Xinkai Feng. MSc(Sept 2003 - July 2005). A Study of Branch and Bound for Incremental Satisfiability Problem.

  36. Wang Chonghai. MSc(Sept 2003 - July 2005). A Study of Approximation Techniques for Incremental SAT and MAX-SAT.

In progress

  1. Sifat Jahan, PhD (from May 2023). Machine Learning for Combinatorial Optimization

  2. Sina Alireza, PhD (from September 2022). Self Adaptive Hybrid Framework for Combinatorial Problems

  3. Ali Bayeh, PhD (from September 2022). Machine Learning for Electric Power Consumption

  4. Mofareh Waqdan, PhD (from September 2022). IoT Security Risk Assessment

  5. Mandana Gholamigazafrudy, PhD (from January 2021). Evolutionary Computation for K-means Clustering

  6. Mehdi Sadeghilalimi, PhD (from January 2021). Nature-inspired Techniques for Medical Staff Scheduling

  7. Aymen Ben Said, PhD (from September 2020). Machine Learning for Efficient Healthcare Scheduling

  8. Yong Ket Wei, PhD (from September 2018). Managing Constraints and Preferences for Multi-Objective Optimization

  9. Stephanie Mensah Opoku, MSc (from January 2023). Data Privacy and Security for AI Systems

  10. Riley Herman, MSc (from May 2020). Preference-based Multi-Objective Portfolio Optimization.

Postdoctoral Students

  1. Ali Farid, MITACS Accelerate (September 2021 - December 2022). Unmanned Aerial Vehicle Swarm Collaboration for Weed Control in Field Crops.

  2. Fatma Ben Mesmia, MITACS Accelerate (July 2020 - October 2021). Communication Aid for Non-English Speaking Newcomers.

  3. Bandar Mohammed, MITACS Accelerate (November 2019 - February 2020). Communication Aid for Non-English Speaking Newcomers.

  4. Munira Al-Ageili, MITACS Accelerate (February 2019 - May 2019). Communication Aid for Non-English Speaking Newcomers.

Visiting Students

  1. Atharva Mete, Undergraduate Student, Indian Institute of Technology Bombay, India. MITACS Globalink Research Internship. Multi-Objective Optimization for University Timetabling. May - July, 2022.

  2. Haifa Zaidi, Undergraduate Student, Higher School of Communication of Tunis (SUP 'COM), Tunisia. MITACS Globalink Research Internship. Evolutionary Multi-objective Optimization for Vehicle Routing in a Dynamic Environment. May - July, 2022.

  3. Praveen Raj Mohanraj,, Undergraduate Student, Vellore Institute of Technology, India. MITACS Globalink Research Internship. Multi-Objective Optimization for University Timetabling. May - July, 2022.

  4. Saksham Gupta, Undergraduate Student, Vellore Institute of Technology, India. MITACS Globalink Research Internship. Multi-Objective Optimization for University Timetabling. May - August, 2022.

  5. Arvind Srinivasan, Undergraduate Student, Birla Institute of Technology and Science, India, MITACS Globalink Research Internship. Path Planning in a Dynamic Environment, May - July, 2018.

  6. Maha Moussa, Undergraduate Student, University of Sfax, Tunisia, MITACS Globalink Research Internship. Multiple Robot Motion Planning in a Dynamic Environment, May - July, 2017.

  7. Rendon Miranda Juan Carlos, PhD student, National Center for Research and Technological Development (CENIDET), Mexico. Recommender Systems, May - July, 2017.

  8. Alex Volnei Teixeira, PhD Student, Pontifical Catholic University of Paran`a (PUCPR), Brazil. Smart Cities: A Multidimensional Model for the Management of Urban Information Systems, December 2016 - March 2017.

  9. Slaheddine Elfidha, PhD Student, Institut Sup´erieur de Gestion, Tunisia. Representing and Reasoning with Constrained Probabilistic CP-nets, November - December 2015.

Thesis Defense Examination Committees

External Examiner

  1. Ahmed Mustafa Balfagih, PhD, Dalhousie University. Addressing Challenges of Twitter Feature Engineering for Machine Learning in Different Domains. July 2023.

  2. Sina Sajjadi. Faculty of Engineering. Predictive Visual Servoing; Uncertainty Analysis And Probabilistic Robust Frameworks. April 2023. (Internal-External Examiner)

  3. Abdel-Latif Alshalalfah. PhD, Concordia Univ. System-Level Analysis and Design of Safety-Critical Cyber-Physical Systems. January 2023.

  4. Ali Alarbah. Faculty of Engineering. Novel synthesized transition metals liquid catalysts for heavy oil recovery. December 2022 (Internal-External Examiner)

  5. Hajra Masood . PhD, Bahria University, Pakistan. Vision Based Gait Recognition Robust to View and Appearance Variance. October 2022.

  6. Coskun Sahin, PhD, University of Calgary. Social Media Emergency Analysis and Realistic Evacuation Modeling. July 2021.

  7. Ayman Atallah. PhD, Concordia Univ. Design Of Time-Sensitive Networks for Safety-Critical Cyber-Physical Systems. March 2021.

  8. Naveen Irtiza . PhD, Bahria University, Pakistan. Assessment Of Neural Correlates Of Neuroception Using Machine Learning Techniques . January 2021.

  9. Ahmed Marwan Foda. PhD, Physics, Univ. of Regina. Photoproduction Of the b1(1235) Meson Off the Proton at E_y= 6-12 GEV. January 2021.
    10. (Internal-External Examiner)
  10. Seyedehmehrnaz Mireslami. PhD, Univ. of Calgary. Cost and Performance Optimization for Cloud-based Web Applications Deployment. August 2018.

  11. Abdulaziz Alhubaishy. Faculty of Engineering. Affect, Affective Contagion and Decisions in Agile Development. August 2018. (Internal-External Examiner).

  12. Taimoor Khan, PhD, Bahria University, Pakistan. Lifelong machine learning topic modeling for large-scale aspect extraction. February 2018.

  13. Abdulmajeed Abdulrhman Aljuhani. PhD, Faculty of Engineering. A Multiple-Criteria Approach to Support Complex Decisions In Extreme Programming. December 2017. (Internal-External Examiner).

  14. Suriya Jirasatitsin. PhD, Faculty of Engineering. Modified Hopfield Networks For Integrated Process Planning And Scheduling. October 2017. (Internal-External Examiner).

  15. Ahmed Tunnish. PhD, Faculty of Engineering. Study Of Ionic Liquids As Effective Solvents for Enhanced Heavy Oil Recovery. Internal-External Examiner. December 2016.

  16. Etim Idorenyin. PhD, Faculty of Engineering.A Semi-Analytical Model For Arbitrary-Shaped Composite Reservoirs With Complex Well Completions . Internal-External Examiner. April 2016.

  17. Jomu George Mani Paret. PhD, Concordia Univ. A Functional Verification Methodology for an Improved Coverage of System-on-Chips. April 2015.

  18. Shimaa Mansour Moailak El-Sherif. PhD, Univ. of Calgary. Concept Learning Supported Semantic Search Using Multi-Agent System Based on Social Networks. March 2014.

  19. Hamed Shafiee Hasanabadi. PhD, Faculty of Engineering. An Application of Artificial Neural Networks in Forcasting Future Oil Price Return Volatilities. Internal-External Examiner, April 2014.

  20. Sultan Alshehri. PhD, Faculty of Engineering. AHPBased Methodology for a Complex Decision Support in Extreme Programming. Internal-External Examiner. December 2013.

  21. Mamata Pandey. PhD, Dept. of Psychology. Can Meaning Associated with Perceptual Grouping Modulate Attention?. Internal-External Examiner. April 2013.

  22. Mohamed Abu ElIla. PhD, Faculty of Engineering. A Framework for Divisible Load E-Science Applications in Optical Grids. Internal-External Examiner. April 2013.

  23. Lamia Belouaer. PhD, Dept. of Computer Science, Univ. of Caen, France. Spatial Knowledge Representation For Planning. December 2011.

  24. Tansel Ozyer. PhD, Univ. of Calgary. Alternative Approaches for Producing and Ranking Alternative Clustering. August 2006.

  25. Saber Elmabrouk. PhD, Faculty of Engineering. Application Of Function Approximations To Reservoir Engineering. Internal-External Examiner, January 2012 (Internal-External Examiner).

  26. Abdullah Al-Ahmari. PhD, Mathematics. Tracial and Rank Equivalence of Representations in Von Neumann Algebras. October 2009 (Internal-External Examiner).

  27. Yan Yang. PhD, Faculty of Engineering, Univ. of Regina. Multi Agents and CSPs. May 2007 (Internal-External Examiner).

  28. Amirhossein Motavali, MASc, Faculty of Engineering, University of Regina. DSA-BEATS: Multi step, multi-variate dual self-attention N-BEATS model for forecasting COVID-19 hospitalization. August 2023.

  29. Fatimah Islam, MASc, Faculty of Engineering, University of Regina. Quantification of crops’ consistency on corn fields using robust deep learning models. April 2023.

  30. Kedist Sahlu. Master of Public Policy, University of Regina. Public Acceptance of Facial Recognition Technology: Surveying Attitudes, Preferences, and Concerns to Inform Policy Development. July 2022.

  31. Mohana Das. MSc, Faculty of Engineering, University of Regina. Deepveg: Deep Learning For Multiclass Segmentation Of Weed, Canola And Canola Damage. April 2021.

  32. Shahnaz Habibkhah, MASc, Faculty of Engineering, Univ. of Regina. Artificial Neural Networks for the Computation of the Inverse Kinematics of Redundant Manipulators. May 2020.

  33. Priyanka Guliani. MSc, Dept. of Math and Stat, Univ. of Regina. On the Classical Parameters of the Crack Distribution. November 2018.

  34. Nesma Mohamed Nasser Abdelhamid Keshta, MASc, Faculty of Engineering, Univ. of Regina. Secure Mobile Application Management Framework April 2018.

  35. Amir Feizollahi, MASc, Faculty of Engineering, Univ. of Regina. (A-1) Collision Free And Energitaclly Optimized Motion Planning Of Manipulators In Partially-Known Environment Using Modified D* Lite Algorithm. November 2016.

  36. Sayed Kaes Maruf Hossain, MASc, Faculty of Engineering, Univ. of Regina. A Novel Algorithm for Solving the Multi-objective Assembly Line Balancing Problem. March 2016.

  37. Mohamed Shirif, MASc, Faculty of Engineering, Univ. of Regina. A New Steam Assisted Gravity Drainage Process Utilizing Vertical Wells. March 2016.

  38. Mahdi Fallahinejad Ghajari, MASc, Faculty of Engineering, Univ. of Regina. Trajectory Planning for Hyperredundant Manipulators In Constrained Workspaces. March 2015.

  39. Simerjit Gill. MSc, Engineering. Agent Modeling of Healthcare for Type-2 Diabetes. 2010.

  40. Miaomiao Chen, MSc, Dept. of Math, Univ. of Regina. Confidence Intervals Based on Dependent Bootstrap Procedure. September 2009.

  41. Lamia Belouaer. MSc, Dept. of Computer Science, Univ. of Caen, France. The Complex Temporal and Causal Relations in Causal Networks. October 2008.

  42. Mamata Pandey. MA, Dept. of Psychology, Univ. of Regina. Capacity Limited Resources and Task Switching: A Study of Human Ability to Carry Out Multiple Processes Concurrently. July 2008.

  43. Zhen Wang. MSc, Dept. of Math, Univ. of Regina. A Study on the Hajek-Renyi Inequality and its Applications. November 2007.

  44. Bashar Rashid. MASc, Faculty of Engineering, Univ. of Regina. Service-Oriented Wireless Grid Architecture. June 2007.

  45. Mohamed Amin. MASc, Faculty of Engineering, Univ. of Regina. Resources Sharing Amongst Wireless Devices Using Wireless Grid. Sept 2006.

  46. Chaiyapol Kulpate. MASc, Faculty of Engineering, Univ. of Regina. A Novel Visual Servoing Structure for 3D Positioning of a Robotic Arm. July 2005.

Internal Examiner, Dept. of Computer Science, Univ. of Regina

  1. Seyed Mohammad Mirbagheri Tabatabaei. PhD. Dept. of Computer Science. Advances in Representation and Learning of Temporal Event Sequences. August 2020.

  2. Andre Evaristo dos Santos. PhD. Dept. of Computer Science. Optimizing Inference in Bayesian Networks: From Join Tree Propagation to Deep Learning. March 2020.

  3. Yuan Xue. PhD. Dept. of Computer Science. Lower Bounds and Algorithms for Searching Networks. October 2019.

  4. Rahim Samei. PhD, Dept. of CS. Complexity Parameters for Learning Multi-Label Concept Classes. Internal Examiner. March 2015.

  5. Mehdi Sadeqi. PhD, Dept. of CS. Mutex Pair Detection for Improving Abstraction-based Heuristics. August 2014.

  6. Sadra Abedinzadeh. PhD, Dept. of CS. Agent Trust Management Based On Human Plausible Reasoning And Rough Sets. Internal Examiner. November 2013.

  7. Wen Yan. PhD, Dept. of CS. d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. May 2013.

  8. Shubhashis Kumar Shil, PhD, Dept. of CS. Elicitation Of Constraints And Qualitative Preferences In Multi- Attribute Auctions. November 2013.

  9. Mondelle Simeon. PhD. Discovering Group Differences from Qualitative and Quantitative Attributes Using Contrast Set Mining with Discretization and Measures of Interestingness. September 2012.

  10. Bing Zhou. PhD. A Cost-Sensitive Approach to Ternary Classification. July 2012.

  11. Joseph Herbert. PhD. Investigating Machine Learning Decision Problems with Game Theory. November 2010.

  12. Sebastian Romy Gomes. MSc. Dilex: A Cross-Session Cross-Device Academic Digital Library Search Interface. June 2022.

  13. Mahedi Hasan . MSc. Analysis of Model Aggregation Techniques in Federated Learning . March 2021.

  14. Mikhail Shchukin. MSc. Classification, Quality Analysis And Development of Circuit Design and Simulation Software for Computing Education.February, 2021.

  15. Abu Mohammad Hammad Ali. MSc. Summarizing Conditional Preference Networks. April 2019.

  16. Darshan Nayak. MSc. Time Series Forecasting Using Multiple Granularities and Multiple Forecast Models. December 2018.

  17. Kunal Dhingra. MSc. A Rough Set Theory Analysis Of Healthcare Data. March 2018.

  18. Ryan Marcotte. MSc. Modelling Artificial Intelligence in Games Using MindSet Behavior Trees. April 2017.

  19. Swati Ganguly. MSc. Auction Shill Detection Framework Based on SVM. December 2016.

  20. Khulood Aimonami. MSc. Auction Fraud Detection with Machine Learning. November 2016.

  21. Jhonatan Oliveira. MSc. Bayesian Network Inference using Marginal Trees. June 2016.

  22. Maha El Meseery. MSc. Geo-coordinated parallel coordinates: A case study of enviromental data analysis. March 2016.

  23. Moslema Jahan. MSc. A Knowledge Acquisition System For Price Change Rules. November 2015.

  24. Credell Simeon. MSc (Project). Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. June 2015.

  25. Babar Majeed. MSc. Pursuit Evasion in Simple Polygons. March 2014.

  26. Spoorthy Seenappa. MSc. Procrustes: A Declarative Scene Modelling System. September 2012.

  27. Marian Moise. MSc. A New Approach to Face Recognition Based on Generalized Hough Transform and Local Image Descriptors. August 2012.

  28. Shuo Wang. MSc. Development Of Inexact Optimization Methodologies For Resources And Environmental Management Under Dual Uncertainties. November 2010.

  29. Xinglin Zhang. MSc. Chord Recognition Using Ensemble Voicing Constrains. Jan 2010.

  30. Nima Sharifimehr. MSc. Markovian Workload Modeling for Enterprise Application Servers. May 2008.

  31. Luo Ni. MSc. Multicasting for Sources with Multiple Descriptions. April 2008.

  32. Jia Chen. MSc. Performance Evaluation of Peer-to-Peer Networks. December 2007.

  33. Kenneth Konkel. MSc. Modern Bayesian Network Implementation. December 2007.

  34. Simon Orr. MSc. A Module System for Isolating Untrusted Software Extensions. Sept 2006.

  35. Siritorn Srisodsai. MSc. A Multi-Language Information Searching Tool with Agent-Based Web Services. Sept 2006.

  36. Trevor Mansui. MSc. Characterizing the Use of WORDNET in Text Classification. July 2006.

  37. Joseph Herbert. MSc. A Game Theoretic Approach to Competitive Learning in Self Organizing Maps. March 2006.

  38. Wei Zeng. MSc. Parallel Approach to Mining Summaries from Databases. June 2005.

  39. Bo Chen. MSc. Formal Specifications of AIPs and CSPs. April 2004.

  40. Yin Pengzhou. MSC. Component Generalization and Instantiation. April 2004.

  41. Honglan Zhong. MSc. Integrated Approach for Database Security and Fault Tolerance. May 2004.

  42. Ming Zhang. MSc. Study on Querying and Mining XML.2004.

  43. Zhiyong Lu. MSc. Mining Ordered Patterns in Sequences.2004.

Member of the Doctoral Supervisory Committee

  1. Oluwasegun Makinde. Faculty of Engineering. Machine Learning for Optimizing Full Field Development. Internal-External Examiner.

  2. Abbas Dehghan. Faculty of Engineering. Inspection And Quality Control Of Pipes Using Optical Lasers. Internal-External Examiner.

  3. Farial Syed. Computer Science. Granular Computing. Internal Examiner.

  4. Abu Mohammad Hammad Ali. Computer Science. Conditional Preference Networks. Internal Examiner.

Chair of Theses Defense Committees

  1. Mammad Huseynov. MASc, Thermodynamic and Experimental Studies of Ethane Solubility in Promising Ionic Liquids for CO2 Capture. Faculty of Engineering, Univ. of Regina. July 2014.

  2. Yogesh Suman. MASc, Faculty of Engineering, Univ. of Regina. December 2013.

  3. Irfan W.N. Shaikh . MASc, Faculty of Engineering, Univ. of Regina. Molar Heat Capacities And Heats Of Mixing Of Aqueous Solutions Of 2-(Propylamino) Ethanol. November 2012.

  4. Mohammad Marufuzzaman. MASc, Faculty of Engineering, Univ. of Regina. Solubility and Diffusivity of Carbon Dioxide, Ethane and Propane in Heavy Oil and its SARA Fractions. November 2010.

  5. Mohammad Tuhinuzzaman. MASc, Faculty of Engineering, Univ. of Regina. The Role of Capillarity in the VAPEX Process. July 2006.

Undergraduate Student Supervision

  1. Barret Rennie (May 2014 - Aug 2014). Evolutionary Techniques for the Exam Timetabling. NSERC USRA.

  2. Tim Sample (April 2010 - Aug 2010). Extending Excel spreadsheet with CSPs. NSERC USRA.

  3. Peter Dowdy (April 2010 - Aug 2010). Swimming the Polygon Soup: Improving D* Navigation Outcomes for Wheeled Sonar Robots . NSERC USRA.

  4. Xie Qi (Jan - April 2008). An OCL-Based GUI Toolkit for solving CSPs and Temporal CSPs.

  5. Mike Berger (Sept - Dec 2006). Multiple Robot Motion Planning.

  6. Wu Qiong (May - Aug 2006). Multiple Robot Motion Planning.

  7. Kevin Bedel (May - Sept 2005). Multiple Robot Motion Planning. NSERC USRA.

  8. Shanny Lu( Sept 2004 - April 2005). Robot Motion Planning.

  9. Vili Bogdan (May 2004 - Aug 2004). Robot Motion Planning. NSERC USRA.

  10. Ricky Sum (May 2004 - Aug 2004). Robot Motion Planning. NSERC USRA.

  11. Jonathan Yip (April 2001 - Aug 2002). Solving Temporal Constraints in Dynamic Environment. NSERC USRA, George Ellis.

  12. Mike Closson (April 2001 - Aug 2002). Temporal Constraint Problems in CLP and CSP. NSERC USRA.

  13. Gage Klein (April 2001 - Aug 2001). Using Neural Networks for Temporal CSPs. Chinook RSA, George Ellis.

  14. Corrine Cheng (Jan 2002 - Aug 2002). Using Genetic Algorithms for Temporal Constraints.

  15. Ye Wang (April 2002 - Dec 2002). Dynamic Path Consistency for Temporal Constraints. Chinook RSA, George Ellis.

  16. Jonathan Kovacs (Jan 2001 - April 2001). Constraint Logic Programming for Temporal Constraints.

  17. Angela Mlynarski (Sept 2001 - April 2002). Robot Motion Planning under Temporal Constraints.

  18. Jeffrey Jacober (Sept 2001 - Dec 2001). GUI for Solving Temporal Constraints.

Malek Mouhoub 2022-03-06