Preprints

    Books

    1. Y. Mohammad, T. N. (2016). Data Mining for Social Robotics.
    2. Conversational Informatics: A data intensive approach with emphasis on Nonverbal Communication. (2014).

    Patents

    1. Mohammad, Y., & Nakadai, S. (2022). US17/388,004: Negotiation method including elicitation and system for implementing.
    2. Mohammad, Y., & Hoashi, K. (2021). JP6838259B2: Learning data generator, judgment device and program.
    3. A. Sengupta, S. N., Y. Mohammad. (2021). US17/184,590: Adaptive Autonomous Negotiation Method and System of Using.
    4. Mohammad, Y. (2020). JP6754343B2: Neural network regulators, devices and programs.
    5. Mohammad, Y. (2020). PCT/JP2020-029145: Policy Generation Apparatus, Control Method, and Non Transitory Computer-Readable Storage Medium.

    Invited Talks

    1. (2022). Generalized Bargaining Mechanisms: Mechanism Design for Automated Negotiation; IBM/DIMACS Workshop on Bridging Game Theory and Machine Learning for Multi-party Decision Making, October 27-28, New Jersey, USA.
    2. (2022). Concurrent Negotiation in Supply Chains: Problems; Solutions and Challenges; The 13th International Workshop on Agent-based Complex Automated Negotiations in conjunction with the 31st International Joint Conference on Artificial Intelligence, Vienna, Austria.
    3. (2018). Analysis and commentary on PRIANAC and ANAC; Pacific Rim International Automated Negotiation Agents Competition (PRIANAC) in conjunction with PRIMA , Tokyo, Japan.
    4. (2018). Fluid Imitation; Human-Robot Interaction: From Service to Industry (HRI-SI2018) part of IEEE ROMAN 2018, Nanjing, China.
    5. (2012). SSA application to motif discovery and causality analysis in robotics; Third International Conference on SSA and its applications, Beijing, China, May 17th-May 20th.

    Journal Articles

    1. Hamdi, F. A., Kataoka, K., Arai, Y., Takeda, N., Yamamoto, M., Mohammad, Y. F. O., Ghazy, N. A., & Suzuki, T. (2023). An octopamine receptor involved in feeding behavior of the two-spotted spider mite, Tetranychus urticae Koch: a possible candidate for RNAi-based pest control. Entomologia Generalis, 43(1).
    2. Mohammad, Y. (2022). Optimal time-based strategy for automated negotiation. Applied Intelligence, 53(6), 6710–6735.
    3. Mohammad, Y. (2021). Concurrent local negotiations with a global utility function: a greedy approach. Autonomous Agents and Multi-Agent Systems, 35(2), 1–31.
    4. Supply Chain Management League(SCML) — Automated Negotiating Agent Competition for Manufacturing Value Chain. (2020). JSAI Journal, 53(3).
    5. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2019). Selecting orientation-insensitive features for activity recognition from accelerometers. IEICE TRANSACTIONS on Information and Systems, 102(1), 104–115.
    6. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2018). Primitive activity recognition from short sequences of sensory data . Applied Intelligence, 48(10), 3748–3761.
    7. Mohammad, Y., & Nishida, T. (2016). Exact multi-length scale and mean invariant motif discovery. Applied Intelligence, 44(2), 322–339.
    8. Mohammad, Y., & Nishida, T. (2015). Learning interaction protocols by mimicking understanding and reproducing human interactive behavior. Pattern Recognition Letters, 66, 62–70.
    9. Mohammad, Y., & Nishida, T. (2015). Why should we imitate robots? Effect of back imitation on judgment of imitative skill. International Journal of Social Robotics, 7(4), 497–512.
    10. Mohammad, Y., & Nishida, T. (2015). Shift density estimation based approximately recurring motif discovery. Applied Intelligence, 42(1), 112–134.
    11. Mohammad, Y., & Nishida, T. (2013). Learning where to look: Gaze in Human-Robot Communication. International Journal of Interaction Studies, 32, 419–450.
    12. Mohammad, Y., & Nishida, T. (2012). Fluid imitation. International Journal of Social Robotics, 4(4), 369–382.
    13. Mohammad, Y., & Nishida, T. (2010). Controlling gaze with an embodied interactive control architecture. Applied Intelligence, 32(2), 148–163.
    14. Mohammad, Y., & Nishida, T. (2010). Using physiological signals to detect natural interactive behavior. Applied Intelligence, 33(1), 79–92.
    15. Mohammad, Y., & Nishida, T. (2009). Interactive perception for amplification of intended behavior in complex noisy environments. Ai & Society, 23(2), 167–186.
    16. Mohammad, Y., & Nishida, T. (2009). Constrained motif discovery in time series. New Generation Computing, 27(4), 319–346.
    17. Mohammad, Y., & Nishida, T. (2009). Toward combining autonomy and interactivity for social robots. AI & Society, 24(1), 35–49.
    18. Mohammad, Y., & Nishida, T. (2008). Interaction between untrained users and a miniature robot in a collaborative navigation controlled experiment. International Journal of Information Acquisition, 5(04), 291–307.
    19. Nishida, T., Terada, K., Tajima, T., Hatakeyama, M., Ogasawara, Y., Sumi, Y., Xu, Y., Mohammad, Y. F. O., Tarasenko, K., Ohya, T., & others. (2006). Toward robots as embodied knowledge media. IEICE Transactions on Information and Systems, 89(6), 1768–1780.

    Refereed Book Chapters

    1. Mohammad, Y. (2018). Natural Human-Robot Interaction. In J. K. Kent L. Norman (Ed.), The Wiley Handbook of Human Computer Interaction (Vol. 2, pp. 641–655). John Wiley & Sons, Ltd Chichester, UK.
    2. Mohammad, Y., & Nishida, T. (2010). Mining causal relationships in multidimensional time series. In N. T. Nguyen & E. Szczerbicki (Eds.), Smart information and knowledge management (pp. 309–338). Springer, Berlin, Heidelberg.
    3. Mohammad, Y., & Nishida, T. (2010). Modelling interaction dynamics during face-to-face interactions. In C. F. Toyoaki Nishida Lakhmi Jain (Ed.), Modeling Machine Emotions for Realizing Intelligence (pp. 53–87). Springer, Berlin, Heidelberg.
    4. Mohammad, Y., & Nishida, T. (2009). Learning interaction structure using a hierarchy of dynamical systems . In B.-C. Chien & Tzung-Peiong (Eds.), Opportunities and Challenges for Next-Generation Applied Intelligence (pp. 253–258). Springer, Berlin, Heidelberg.

    International Conferences

    1. Mohammad, Y. (2023, December). Evaluating Automated Negotiations. IEEE International Conference on Agents (ICA).
    2. Mohammad, Y. (2023). Generalized Bargaining Protocols. Australasian Joint Conference on Artificial Intelligence, 261–273.
    3. Mohammad, Y. (2022). Mutual Intention in Human-Robot Teams. The First Egyptian Japanese International Symposium on Science and Technology (EJISST), 122–123.
    4. Sengupta, A., Nakadai, S., & Mohammad, Y. (2022). Transfer Learning Based Adaptive Automated Negotiating Agent Framework. International Joint Conference on Artificial Intelligence.
    5. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2021). Speech Emotion Recognition Using Combined Multiple Pairwise Classifiers. International Conference on Human-Computer Interaction, 115–118.
    6. Sengupta, A., Mohammad, Y., & Nakadai, S. (2021). An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1163–1172.
    7. Ninagawa, K., Mohammad, Y., & Greenwald, A. (2021). Baseline Strategies for the ANAC Automated Negotiation League. 3rd Games, Agents, and Incentives Workshop, In Conjunction With AAMAS.
    8. Viqueira, E. A., Cousins, C., Mohammad, Y., & Greenwald, A. (2020). Empirical mechanism design: Designing mechanisms from data. Uncertainty in Artificial Intelligence, 1094–1104.
    9. Mohammad, Y. (2020). Optimal deterministic time-based policy in automated negotiation. International Conference on Principles and Practice Of Multi-Agent Systems, 68–83.
    10. Heracleous, P., Takai, K., Wang, Y., Yasuda, K., Yoneyama, A., & Mohammad, Y. (2020). An Empirical Study on Feature Extraction in DNN-Based Speech Emotion Recognition. International Conference on Human-Computer Interaction, 315–319.
    11. Aydoğan, R., Baarslag, T., Fujita, K., Mell, J., Gratch, J., Jonge, D. de, Mohammad, Y., Nakadai, S., Morinaga, S., Osawa, H., & others. (2020). Challenges and main results of the automated negotiating agents competition (ANAC) 2019. Multi-Agent Systems and Agreement Technologies, 366–381.
    12. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2020). Integrating language and emotion features for multilingual speech emotion recognition. International Conference on Human-Computer Interaction, 187–196.
    13. Heracleous, P., Mohammad, Y., Yasuda, K., & Yoneyama, A. (2019, April). Speech emotion recognition using spontaneous children’s corpus. International Conference on Computational Linguistics And Intelligent Text Processing (CICLing).
    14. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2019). Deep convolutional neural networks for feature extraction in speech emotion recognition. International Conference on Human-Computer Interaction, 117–132.
    15. Rayan, Y., Mohammad, Y., & Ali, S. A. (2019). Multidimensional Permutation Entropy for Constrained Motif Discovery. Asian Conference on Intelligent Information and Database Systems, 231–243.
    16. Mohammad, Y., Nakadai, S., & Greenwald, A. (2019). NegMAS: a platform for situated negotiations. International Workshop on Agent-Based Complex Automated Negotiation, 57–75.
    17. Mohammad, Y., & Nakadai, S. (2019). Optimal value of information based elicitation during negotiation. Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems, 242–250.
    18. Mohammad, Y., Viqueira, E. A., Ayerza, N. A., Greenwald, A., Nakadai, S., & Morinaga, S. (2019). Supply chain management world. International Conference on Principles and Practice Of Multi-Agent Systems, 153–169.
    19. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., & Yoneyama, A. (2018, March). I-vectors and Deep Convolutional Neural Networks for Language Identification in Clean and Reverberant Environments. International Conference on Computational Linguistics And Intelligent Text Processing (CICLing).
    20. Heracleous, P., Takai, K., Yasuda, K., Mohammad, Y., & Yoneyama, A. (2018). Comparative study on spoken language identification based on deep learning. 2018 26th European Signal Processing Conference (EUSIPCO), 2265–2269.
    21. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., Yoneyama, A., & Sugaya, F. (2018). A study on far-field emotion recognition based on deep convolutional neural networks. Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing.
    22. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2018). Feature Selection Using Deep Neural Networks for Speech Emotion Recognition. Acoustical Society of Japan Autumn Meeting.
    23. Mohammad, Y., & Nakadai, S. (2018). Utility elicitation during negotiation with practical elicitation strategies. 2018 IEEE International Conference on Systems, Man, And Cybernetics (SMC), 3100–3107.
    24. Mohammad, Y., & Nakadai, S. (2018). Fastvoi: Efficient utility elicitation during negotiations. International Conference on Principles and Practice Of Multi-Agent Systems, 560–567.
    25. Heracleous, P., Mohammad, Y., Takai, K., Yasuda, K., & Yoneyama, A. (2018). Spoken language identification based on i-vectors and conditional random fields. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 1443–1447.
    26. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2018). Deep feature learning and selection for activity recognition. Proceedings of the 33rd Annual ACM Symposium on Applied Computing , 930–939.
    27. Hussein, M., Mohammad, Y., & Ali, S. A. (2017). COLD: A ROS package for continuous Learning from Demonstration teaching a robot to write. 2017 IEEE International Conference on Mechatronics and Automation (ICMA), 651–657.
    28. Mohammad, Y., Matsumoto, K., & Hoashi, K. (2017). A dataset for activity recognition in an unmodified kitchen using smart-watch accelerometers. Proceedings of the 16th International Conference on Mobile And Ubiquitous Multimedia, 63–68.
    29. Mohammad, Y., & Nishida, T. (2016). $ MC\^ 2$: An Integrated Toolbox for Change, Causality and Motif Discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 128–141.
    30. Mohammad, Y., & Nishida, T. (2015). Cultural difference in back-imitation’s effect on the perception of robot’s imitative performance. International Workshop on Cultural Robotics, 17–32.
    31. Nishida, T., Abe, M., Ookaki, T., Lala, D., Thovuttikul, S., Song, H., Mohammad, Y., Nitschke, C., Ohmoto, Y., Nakazawa, A., & others. (2015). Synthetic evidential study as augmented collective thought process–preliminary report. Asian Conference on Intelligent Information and Database Systems, 13–22.
    32. Mohammad, Y., & Nishida, T. (2015). Simple incremental GMM modeling using multidimensional piecewise linear segmentation for learning from demonstration. 3rd International Conference on Industrial Application Engineering (ICIAE), 15, 471–478.
    33. Mohammad, Y., & Nishida, T. (2014). Scale invariant multi-length motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 417–426.
    34. Mohammad, Y., & Nishida, T. (2014). Exact discovery of length-range motifs. Asian Conference on Intelligent Information and Database Systems, 23–32.
    35. Mohammad, Y. F. O., & Nishida, T. (2014). Why should we imitate robots? Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, 1499–1500.
    36. Lala, D., Nishida, T., & Mohammad, Y. (2014). A joint activity theory analysis of body interactions in multiplayer virtual basketball. Proceedings of the 28th International BCS Human Computer Interaction Conference (HCI 2014) 28, 62–71.
    37. Mohammad, Y., & Nishida, T. (2014). Robust learning from demonstrations using multidimensional SAX. 2014 14th International Conference on Control, Automation And Systems (ICCAS 2014), 64–71.
    38. Mohammad, Y., & Nishida, T. (2014). Effect of back and mutual imitation on human’s perception of a humanoid’s imitative skill. The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 788–795.
    39. Tatsumi, S., Mohammad, Y., Ohmoto, Y., & Nishida, T. (2014). Detection of hidden laughter for human-agent interaction. Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, 35, 1053–1062.
    40. Mohammad, Y., & Nishida, T. (2014). Human-like motion of a humanoid in a shadowing task. 2014 International Conference on Collaboration Technologies And Systems (CTS), 123–130.
    41. Mohammad, Y., Nishida, T., & Nakazawa, A. (2013). Arm pose copying for humanoid robots. 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 897–904.
    42. Mohammad, Y. F. O. (2013). Learning Sensorimotor Concepts without reinforcement. AAAI Symposium on Life Long Learning.
    43. Mohammad, Y., & Nishida, T. (2013). Approximately recurring motif discovery using shift density estimation. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 141–150.
    44. Lala, D., Mohammad, Y., & Nishida, T. (2013). Unsupervised gesture recognition system for learning manipulative actions in virtual basketball. Proceedings of the 1st International Conference on Human-Agent Interaction.
    45. Mohammad, Y., & Nishida, T. (2013). Tackling the correspondence problem. International Conference on Active Media Technology, 84–95.
    46. Mohammad, Y., & Nishida, T. (2012). Unsupervised discovery of basic human actions from activity recording datasets. 2012 IEEE/SICE International Symposium on System Integration (SII), 402–409.
    47. Mohammad, Y., & Nishdia, T. (2012). Self-initiated imitation learning. Discovering what to imitate. 2012 12th International Conference on Control, Automation And Systems, 726–732.
    48. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). CPMD: a matlab toolbox for change point and constrained motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 114–123.
    49. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). Common sensorimotor representation for self-initiated imitation learning. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 381–390.
    50. Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). G-SteX: greedy stem extension for free-length constrained motif discovery. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 417–426.
    51. Mohammad, Y., & Nishida, T. (2011). On comparing SSA-based change point discovery algorithms. 2011 IEEE/SICE International Symposium on System Integration (SII), 938–945.
    52. Mohammad, Y., & Nishida, T. (2011). Discovering causal change relationships between processes in complex systems. 2011 IEEE/SICE International Symposium on System Integration (SII), 12–17.
    53. Mohammad, Y. F. O., & Nishida, T. (2010, June). Unsupervised Learning of Interactive Behavior for HRI. RSS Workshop on Learning for Human Robot Interaction Modeling.
    54. Mohammad, Y. F. O., & Nishida, T. (2010). Learning spontaneous nonverbal behavior using a three layers hierarchy. Proceedings of the 10th WSEAS International Conference on Applied Computer Science, 430–435.
    55. Mohammad, Y., & Nishida, T. (2010). Learning interaction protocols using augmented baysian networks applied to guided navigation. 2010 IEEE/RSJ International Conference on Intelligent Robots And Systems, 4119–4126.
    56. Mohammad, Y., Okada, S., & Nishida, T. (2010). Autonomous development of gaze control for natural human-robot interaction. Proceedings of the 2010 Workshop on Eye Gaze in Intelligent Human Machine Interaction, 63–70.
    57. Mohammad, Y., & Nishida, T. (2010). Down-up-down behavior generation for interactive robots. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 92–101.
    58. Mohammad, Y., & Nishida, T. (2010). Incremental gesture discovery for interactive robots. 2010 IEEE International Conference on Robotics and Biomimetics, 185–189.
    59. Mohammad, Y., & Nishida, T. (2009). Change point detection using robust singular spectrum transform applied to mining human-human interaction records. International Conference on Data Mining.
    60. Mohammad, Y., & Nishida, T. (2009). Measuring naturalness during close encounters using physiological signal processing. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 281–290.
    61. Mohammad, Y., & Nishida, T. (2009). Robust singular spectrum transform. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 123–132.
    62. Mohammad, Y., Nishida, T., & Okada, S. (2009). Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction. 2009 IEEE/RSJ International Conference on Intelligent Robots And Systems, 2537–2544.
    63. Mohammad, Y., & Nishida, T. (2008). Two Layers Action Integration for HRI: Action Integration with Attention Focusing for Interactive Robots. International Conference on Informatics in Control, Automation Robotics (ICINCO), 41–48.
    64. Mohammad, Y., & Nishida, T. (2008, January). Natural Listening Robot for AAL Applications. International Workshop on IUI for Ambient Assisted Living (IUI4AAL).
    65. Mohammad, Y., & Nishida, T. (2008). TWO LAYERS ACTION INTEGRATION FOR HRI-Action Integration with Attention Focusing for Interactive Robots. International Conference on Informatics in Control, Automation and Robotics, 3, 41–48.
    66. Mohammad, Y., & Nishida, T. (2008). Towards Natural Listening on a Humanoid Robot. International Conference on Informatics Education and Research for Knowledge-Circulating Society (Icks 2008), 153–156.
    67. Mohammad, Y., & Nishida, T. (2008). Getting feedback from a miniature robot. 2008 International Conference on Information and Automation, 941–947.
    68. Mohammad, Y., & Nishida, T. (2008). Reactive gaze control for natural human-robot interactions. 2008 IEEE Conference on Robotics, Automation and Mechatronics, 47–54.
    69. Mohammad, Y., & Nishida, T. (2008). Toward agents that can learn nonverbal interactive behavior. IAPR Workshop on Cognitive Information Processing, 164–169.
    70. Mohammad, Y. F. O., & Nishida, T. (2008). A cross-platform robotic architecture for autonomous interactive robots. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 108–118.
    71. Mohammad, Y., & Nishida, T. (2008). Constrained motif discovery. 人工知能学会第二種研究会資料, 2008(DMSM-A802), 06.
    72. Mohammad, Y., Xu, Y., Matsumura, K., & Nishida, T. (2008). The H 3 R Explanation Corpus human-human and base human-robot interaction dataset. 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 201–206.
    73. Mohammad, Y., & Nishida, T. (2008). Human adaptation to a miniature robot: Precursors of mutual adaptation. RO-MAN 2008-The 17th IEEE International Symposium on Robot And Human Interactive Communication, 124–129.
    74. Mohammad, Y. (2008). Toward Learning Interactive Behavior. ICRA NEWHRI Workshop.
    75. Mohammad, Y. F. O., & Nishida, T. (2007). Eica: Combining interactivity with autonomy for social robots. International Workshop of Social Intelligence Design, 2007, 227–236.
    76. Mohammad, Y. F. O., & Nishida, T. (2007). Talkback: Feedback from a miniature robot. Australasian Joint Conference on Artificial Intelligence, 357–366.
    77. Mohammad, Y., Ohya, T., Hiramatsu, T., Sumi, Y., & Nishida, T. (2007). Embodiment of knowledge into the interaction and physical domains using robots. 2007 International Conference on Control, Automation and Systems, 737–744.
    78. Mohammad, Y. F. O., & Nishida, T. (2007). Naturaldraw: interactive perception based drawing for everyone. Proceedings of the 12th International Conference on Intelligent User Interfaces, 251–260.
    79. Mohammad, Y. F. O., & Nishida, T. (2007). Intention through interaction: toward mutual intention in real world interactions. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 115–125.
    80. Mohammad, Y. F. O., & Nishida, T. (2007). Intention Through Interaction: Toward Mutual Intentionn Real World Interactions. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 4570, 115–125.
    81. Mohammad, Y. F. O., & Nishida, T. (2007). A new, HRI inspired, view of intention. AAAI-07 Workshop on Human Implications of Human-Robot Interactions, 21–27.
    82. Nishida, T. (2007). NaturalDraw: Interactive Perception Based Drawing for Everyone. IUI... Conference Proceedings, 251.
    83. Mohammad, Y. F. O., & Nishida, T. (2007). Eica: Embodied interactive control architecture. Twentieth Australian Joint Conference on Artificial Intelligence, 357–366.

    International Workshops

    1. Ninagawa, K., Mohammad, Y., & Greenwald, A. (2021). Baseline Strategies for the ANAC Automated Negotiation League. 3rd Games, Agents, and Incentives Workshop, In Conjunction With AAMAS.
    2. Mohammad, Y., Nakadai, S., & Greenwald, A. (2019). NegMAS: a platform for situated negotiations. International Workshop on Agent-Based Complex Automated Negotiation, 57–75.
    3. Mohammad, Y., & Nishida, T. (2015). Cultural difference in back-imitation’s effect on the perception of robot’s imitative performance. International Workshop on Cultural Robotics, 17–32.
    4. Mohammad, Y. F. O., & Nishida, T. (2010, June). Unsupervised Learning of Interactive Behavior for HRI. RSS Workshop on Learning for Human Robot Interaction Modeling.
    5. Mohammad, Y., Okada, S., & Nishida, T. (2010). Autonomous development of gaze control for natural human-robot interaction. Proceedings of the 2010 Workshop on Eye Gaze in Intelligent Human Machine Interaction, 63–70.
    6. Mohammad, Y., & Nishida, T. (2008, January). Natural Listening Robot for AAL Applications. International Workshop on IUI for Ambient Assisted Living (IUI4AAL).
    7. Mohammad, Y. (2008). Toward Learning Interactive Behavior. ICRA NEWHRI Workshop.
    8. Mohammad, Y., & Nishida, T. (2008). Toward agents that can learn nonverbal interactive behavior. IAPR Workshop on Cognitive Information Processing, 164–169.
    9. Mohammad, Y. F. O., & Nishida, T. (2007). A new, HRI inspired, view of intention. AAAI-07 Workshop on Human Implications of Human-Robot Interactions, 21–27.
    10. Mohammad, Y. F. O., & Nishida, T. (2007). Eica: Combining interactivity with autonomy for social robots. International Workshop of Social Intelligence Design, 2007, 227–236.

    Local Journals

    1. Gemminer: Text Mining Tool for Genome-Scale Metabolic Model. (2022). Assiut University Journal of Multidisciplinary Scientific Research, 3(51), 358–373.
    2. Alyaa A. S. Gad-Elrab, M. T. E.-M., Yasser F. O. Mohammad. (2020). Face Recognition From Small Datasets Using Kernel Selection of Gabor Features. Journal of Engineering Sciences, Assiut University, Faculty Of Engineering, 6(48), 1051–1071.

    Local Conferences

    1. Mohammad, Y. (2022). Mutual Intention in Human-Robot Teams. The First Egyptian Japanese International Symposium on Science and Technology (EJISST), 122–123.
    2. Heracleous, P., Mohammad, Y., & Yoneyama, A. (2018). Feature Selection Using Deep Neural Networks for Speech Emotion Recognition. Acoustical Society of Japan Autumn Meeting.
    3. Mohammad, Y., & Nishida, T. (2008). Constrained motif discovery. 人工知能学会第二種研究会資料, 2008(DMSM-A802), 06.

    Software

    1. Mohammad, Y. (2019). NegMAS: a platform for situated negotiations.
    2. Mohammad, Y. (2019). jnegmas: Java interfaced to the negmas platform.
    3. Mohammad, Y. (2019). SCML: the platform running the SCML competition.
    4. Mohammad, Y. (2014). MC2: A matlab toolbox for motif, change and causality discovery in time-series.
    5. Mohammad, Y. (2009). PoseCopy: A matlab toolbox for pose-copying in humanoid robots.
    6. Mohammad, Y. (2008). CPMD: A matlab toolbox for change point and motif discovery.