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Dr. Yoones A. Sekhavat is an Associate Professor in the Faculty of Multimedia in Tabriz Islamic Art University. He holds a PhD in Computer Science from the Memorial University of Newfoundland, Canada. He also holds a post-doc from the University of Alberta in Canada. His research has been published in IEEE Transactions on Multimedia, IEEE Transactions on Human-Machine Systems, International Journal of Human-Computer Interaction, and Information Management and Computer Security journals as well as IEEE Conference on Games (COG) and SEGAH Conferences. He is the head of the Cognitive augmented reality lab (www.CARLab.ir). You can find the list of his publications in GoogleScholar.

دکتر یونس سخاوت، دانشیار دانشکده چندرسانه ای، دانشگاه هنر اسلامی تبریز، بازی های جدی
Research Interests

Serious Games, Human and Player Computer Interaction, Augmented Reality 

• Post-doc: Computer Science, University of Alberta, Canada (2014)
• Ph.D.: Computer Science, Memorial University of Newfoundland, Canada (2013)
• M.Sc.: Information Technology, Iran University of Science and Technology, Iran (2009)
• B.Sc.: Computer Engineering (software engineering), Amirkabir University of Technology, Iran (2006)

• Dean of Faculty of Multimedia, Tabriz Art University (2018-present)
• Vice dean of Faculty of Multimedia, Tabriz Art University (2016-2018)
• Webmaster, Axis Careers, St.John's, Canada (2010-2013) 
• Designer and analyzer in Tose'e Co., Tehran (2009)
• Project Manager at Maharan Co., Tehran (2006-2008)
• Software Developer at Simorgh Tadbir Co., Tehran (2004-2006)
• Member of Multimedia Group in Iranian Academy of the Arts

• PhD fellow of Memorial University (2009)
• Ranked as the top researcher in Azerbayjan Sharqi Province (2020)
• Invited by Oracle to present Ph.D. thesis at ORACLE, California, USA (2013)
• Invited by Microsoft for a presentation at Seattle, USA (2012)
• First ranked graduate in Master’s degree (2008)
• Best Serious Game Award for KeepStep in GALA Competition in Laval, France (2020)
• Best Serous Game Award for Tizrun in SeGap Competition, Tehran, Iran (2019)
• Best Serous Game Award for Sardar in SeGap Competition, Tehran, Iran (2020)
• Best Rehabilitation Game for Nimad Award, Tehran, Iran (2018)
• Best Paper Award in Serious Games Symposium, Tehran, Iran (2019)

• Paper presentation at IEEE SeGAH’19 Conference, Kyoto, Japan (2019)
• Paper Presentation at IEEE SeGAH’17 Conference, Perth, Australia (2017)
• Keynote speaker at Oracle, San Francisco, USA (2013)
• Talk at Big Data Symposium, Edmonton, Canada (2014)
• Paper presentation at ICSC’12, Palermo, Italy (2012)
• Paper presentation at VLDB’12, Istanbul, Turkey (2012)
• Paper presentation at e-CASE’08, Bangkok, Thailand (2008)
• Talk at MUN research forum, St.John’s, Canada (2011)

• Tabriz Islamic Art University: System Modeling and Simulation, Human-Computer Interaction, Introduction to Game Engines, Information Visualization, Artificial Intelligence and Creativity.
• Tabriz University: Database Security
• University of Alberta: Big Data Mining
• Memorial University of Newfoundland: Object Oriented Programming

• Human-Computer Interaction Design, Tabriz Islamic Art University Publications, 2017.
• The Joy of Computer Games Design, Tehran Art University, 2020.
• Persian Translation of Smart Playing, Tabriz Islamic Art University Publications, 2021. 

• Pirbabaei, E., Amiri, Z., Sekhavat, Y. A., & Goljaryan, S. (2023). Exergames for hand rehabilitation in elders using Leap Motion Controller: A feasibility pilot study. International Journal of Human-Computer Studies, 103099. https://doi.org/10.1016/j.ijhcs.2023.103099 (JCR Q1, IF: 5.4)
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• Sekhavat, Y. A., Mohammad Fathian: Efficient anonymous secure auction schema (ASAS) without fully trustworthy auctioneer. Information Management & Computer Security 07/2008; 16(3):288-304., https://doi.org/10.1108/09685220810893225 
• Sekhavat, Y. A., Mohammad Fathian, Mohammad Reza Gholamian, Somayeh Alizadeh: Mining important association rules based on the RFMD technique. International Journal of Data Analysis Techniques and Strategies 01/2010; 2(1):1-21., https://doi.org/10.1504/IJDATS.2010.030008. (Scopus)  
• Y.A. Sekhavat, M. Fathian: Mining frequent itemsets in the presence of malicious participants. IET Information Security 07/2010; 4(2-4):80 - 92., https://doi.org/10.1049/iet-ifs.2009.0128. (JCR Q3, IF: 1.287)  
• Sekhavat, Y. A., Poorya Nomani: A Comparison of Active and Passive Virtual Reality Exposure Scenarios to Elicit Social Anxiety. International journal of Serious games, 06/2017; 4(2)., https://doi.org/10.17083/ijsg.v4i2.154. (Scopus)  
• Sekhavat, Y. A., Orland Hoeber: Visualizing Association Rules Using Linked Matrix, Graph, and Detail Views. International Journal of Intelligence Science 01/2013; 03(01):34-49., https://doi.org/10.4236/ijis.2013.31A005  
• Sekhavat, Y. A., & Parsons, J. (2019). CDI: Configurable Data Integration Using Property Precedence Relations. Journal on Data Semantics, 8(1), 1-19. https://doi.org/10.1007/s13740-019-00101-7, (Scopus Q3).  
• Soltani, T., Shahabi, N., Sekhavat, Y. A., & Movahedi, Y. (2020). Short-Term Effects of First Person Shooter Computer Game on Visual Focus Using Eye Tracking Tool: A Randomized Clinical Trial. Journal of Research in Rehabilitation Sciences, 15(6), 336-343. https://doi.org/10.22122/JRRS.V15I6.3460, (ISC, IF: 0.021)  
• Jozi, M., Mahmoudiasl, K., & Sekhavat, Y. A. (2020). Interactive Visualization of Data on the Impact of Violent Games on the Behavior of Children and Adolescents: Action Research. Journal of Research in Rehabilitation Sciences, 15(5), 273-279. http://dx.doi.org/10.22122/JRRS.V15I5.3488, (ISC, IF: 0.021)  
• Sekhavat, Y., & Namani, M. S. (2020). Believable Visual Feedback in Motor Learning Using Occlusion-based Clipping in Video Mapping. Signal and Data Processing, 17(3), 87-100. http://dx.doi.org/10.29252/jsdp.17.3.87, (ISC, IF: 0.175)  
• Sekhavat, Y., Alizadeh, F., & Roohi, S. (2021). Traffic-Sim: Investigating the effect of attending intelligent virtual instructor on the efficacy of learning traffic rules. Technology of Education Journal (TEJ), 15(2), 239-248. https://dx.doi.org/10.22061/tej.2020.6429.2396, (ISC)  
• Sekhavat, Y. A.: Nowcasting Mobile Games Ranking Using Web Search Query Data. International Journal of Computer Games Technology 01/2016; 2016(7):9., https://doi.org/10.1155/2016/9859813. (Scopus Q2)  
• Sekhavat, Y. A.: Behavior Trees for Computer Games. International Journal of Artificial Intelligence Tools 01/2017; 26(2)., https://doi.org/10.1142/S0218213017300010. (JCR Q4, IF: 1.059)  
• Toughi Shahriyar, Mohammad H. Fathi, Sekhavat, Y. A.: An Image Encryption Scheme Based on Elliptic Curve Pseudo Random and Advanced Encryption System. Signal Processing 06/2017; 141., https://doi.org/10.1016/j.sigpro.2017.06.010. (Scopus Q1, JCR Q2)  
• Sekhavat, Y. A.: KioskAR: An Augmented Reality Game as a New Business Model to Present Artworks. International Journal of Computer Games Technology 03/2016; 2016(4, article 4):1-12., https://doi.org/10.1155/2016/7690754. (Scopus Q2)  
• Sekhavat, Y. A., Jeffrey Parsons: The effect of tracking technique on the quality of user experience for augmented reality mobile navigation. Multimedia Tools and Applications 05/2017; https://doi.org/10.1007/s11042-017-4810-y, (JCR Q2, IF: 2.577)  
• Sekhavat, Y. A., Mohammad S. Namani: Projection-Based AR: Effective Visual Feedback in Gait Rehabilitation. IEEE Transactions on Human-Machine Systems 08/2018; PP(99):1-11. https://doi.org/10.1109/THMS.2018.2860579, (JCR Q2, IF: 4.124)  
• Sekhavat, Y. A. (2020). Battle of minds: a new interaction approach in BCI games through competitive reinforcement. Multimedia Tools and Applications, 79(5), 3449-3464. https://doi.org/10.1007/s11042-019-07963-w, (JCR Q2, IF: 2.577)  
• Sekhavat, Y. A. (2020). Collaboration or battle between minds? An attention training game through collaborative and competitive reinforcement. Entertainment Computing, 34, 100360. https://doi.org/10.1016/j.entcom.2020.100360, (JCR Q3, IF: 2.072).  
• Sekhavat, Y. A., Roohi, S., Mohammadi, H. S., & Yannakakis, G. N. (2020). Play with One's Feelings: A Study on Emotion Awareness for Player Experience. IEEE Transactions on Games, https://doi.org/10.1109/TG.2020.3003324, (Scopus Q2).  
• Sekhavat, Y. A., Sisi, M. J., & Roohi, S. (2021). Affective interaction: Using emotions as a user interface in games. Multimedia Tools and Applications, 80(4), 5225-5253. https://doi.org/10.1007/s11042-020-10006-4, (JCR Q2, IF: 2.577)  
• Amiri, Z., Sekhavat, Y. A., Goljaryan, S., & Roohi, S. (2022). KeepStep: Accommodating user diversity through individualized, projection-mapping based exergames for rehabilitation in people with multiple sclerosis. Multimedia Tools and Applications, 1-29. https://doi.org/10.1007/s11042-022-12771-w, (JCR Q2, IF: 2.577)  
• Sekhavat, Y. A., Jeffrey Parsons: SEDEX: Scalable Entity Preserving Data Exchange. IEEE Transactions on Knowledge and Data Engineering 07/2016; 28(7):1-1., https://doi.org/10.1109/TKDE.2016.253535, (JCR Q1, IF: 9.235)  .  
• Amiri, Z., Sekhavat, Y. A., & Goljaryan, S. (2022). StepAR: A personalized exergame for people with multiple sclerosis based on video-mapping. Entertainment Computing 42, 100487. https://doi.org/10.1016/j.entcom.2022.100487, (JCR Q3, IF: 2.072).  
• Sekhavat, Y. A., & Zarei, H. (2018). Sense of immersion in computer games using single and stereoscopic augmented reality. International Journal of Human–Computer Interaction, 34(2), 187-194. https://doi.org/10.1080/10447318.2017.1340229, (JCR Q1, IF: 4.533) .  
• Sekhavat, Y. A., Azadehfar, M. R., Zarei, H., & Roohi, S. (2022). Sonification and interaction design in computer games for visually impaired individuals. Multimedia Tools and Applications, 81(6), 7847-7871. https://doi.org/10.1007/s11042-022-11984-3), (JCR Q2, IF: 2.577)  
• Sekhavat, Y. A. (2016). Privacy preserving cloth try-on using mobile augmented reality. IEEE Transactions on Multimedia, 19(5), 1041-1049. https://doi.org/10.1109/TMM.2016.2639380. (JCR Q1, IF: 8.182)  

• Sekhavat, Y. A. (2019, August). A Rewarding Framework for Multiplayer Serious Games based on Competitive Reinforcement. In 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH) (pp. 1-8). IEEE.
• Sekhavat, Y. A. (2017, April). MPRL: Multiple-Periodic Reinforcement Learning for difficulty adjustment in rehabilitation games. In 2017 IEEE 5th international conference on serious games and applications for health (SeGAH) (pp. 1-7). IEEE.
• Yoones A. Sekhavat, Jeffrey Parsons: SEDEX: Scalable Entity Preserving Data Exchange. 2017 IEEE 33rd International Conference on Data Engineering (ICDE); 04/2017, DOI:10.1109/ICDE.2017.39
• Yoones A. Sekhavat, Parisa Abdollahi: Can Google nowcast the market trend of Iranian mobile games?. 2016 Second International Conference on Web Research (ICWR); 04/2016, DOI:10.1109/ICWR.2016.7498439
• Y.A. Sekhavat, J. Parsons: EDEX: Entity preserving Data Exchange, DATA 2012.
• Yoones A Sekhavat, Francesco Di Paolo, Denilson Barbosa, Paolo Merialdo: Knowledge Base Augmentation using Tabular Data. Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014), Seoul (Korea); 04/2014
• Y.A. Sekhavat, J. Parsons: SESM: Semantic enrichment of schema mappings. Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on; 04/2013, DOI:10.1109/ICDEW.2013.6547415
• Yoones A. Sekhavat, Jeffrey Parsons: Sliced Column-Store (SCS): Ontological Foundations and Practical Implications. Proceedings of the 31st international conference on Conceptual Modeling; 10/2012, DOI:10.1007/978-3-642-34002-4_8Yoones A. Sekhavat, Jeffrey Parsons: Semantic Schema Mapping Using Property Precedence Relations. Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on; 09/2012, DOI:10.1

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