Profile
Image: 
Title: 
Instr. Dr.
Surname: 
Mehraei
Status: 
Full-Time Academic Staff
Program: 
Computer Engineering
Role: 
Lecturer
Telephone: 
2963
E-mail: 
mani@metu.edu.tr
Room: 
S-135
Educational Background: 
  • 2012 – 2016 Doctor of Philosophy (Ph.D.), Applied Mathematics and Computer Science, Eastern Mediterranean University.
  • 2010 - 2012 Master of Science (M.S.), Information Systems, Eastern Mediterranean University.
  • 2004 - 2010 Bachelor of Science (B.S.), Statistics, University of Science and Culture.
Research Interests: 
  • Quantitative Psychology, Biostatistics, Mathematical Modeling, Petri Nets, Bioinformatics, Artificial Intelligence, Neuroscience, and Cognitive Psychology.
Courses Taught: 
  • Biostatistics, Statistics, Probability and Statistical methods, Mathematics, Calculus I, Mathematics for Business and Economics, Database Management Systems, Computer Networks and Communication, Information Technology and applications, C Programming.
Selected Publications: 
  • Mehraei, M., Nagy, B., Akcay, N. I., Tuzmen, S. (2019). Potential Therapeutic Modalities of Reawakening Fetal Hemoglobin Simulated by Reaction Systems. Acta Polytechnica Hungarica, 16(3). DOI: 10.12700/APH.16.3.2019.3.2
  • Bashirov, R., Duranay, R., Seytanoglu, A., Mehraei, M., Akcay, N. I. (2019). Exploiting Stochastic Petri nets with Fuzzy Parameters to Predict Efficient Drug Combinations for Spinal Mascular Atrophy. Turkish Journal of Electrical Engineering & Computer Sciences. DOI: 10.3906/elk-1902-133
  • Mehraei, M. (2018). Identifying Emotion Regulation Altering Targets as Depressive Mood Disorder Treatments Using Fuzzy Stochastic Hybrid Petri Nets. IAFOR Journal of Psychology & the Behavioral Sciences, 4(1). https://doi.org/10.22492/ijpbs.4.1.04
  • Mehraei, M., Mood states prediction by Stochastic Petri nets, International Psychological Applications Conference and Trends (INPACT 2017), Pracana C. and Wang M (eds), pp. 258-262, Budapest, Hungary. April, 2017.
  • Mehraei, M. & Akcay, N. I. (2017). Pleasure, Arousal, and Dominance Mood Traits Prediction Using Time Series Methods, IAFOR Journal of Psychology and the Behavioral Sciences, 3(1). https://doi.org/10.22492/ijpbs.3.1.01
  • Bashirov, R. & Mehraei, M. (2017). Identifying targets for gene therapy of β-globin disorders using quantitative modeling approach, Information Sciences, 397, 37-47.
  • Mehraei, M. & Akcay, N. I., Mood and emotional states prediction by time series methods, International Psychological Applications Conference and Trends (INPACT 2016), Pracana C. and Wang M (eds), ISBN: 978-989-99389-6-0, pp. 382-386, Lisbon, Portugal. April, 2016.
  • Mehraei, M., Bashirov, R. & Tuzmen, S. (2016). Target based drug discovery for beta-globin disorders: drug target prediction using quantitative modelling with Hybrid Functional Petri nets, Journal of Bioinformatics and Computational Biology, 14(5), 1650026.