Sher­win Nedaei Janbesaraei

sherwin-nj

PhD can­di­date

Uni­ver­si­ty of Helsinki
Behav­iour­al & Brain Sciences
Fac­ul­ty of Medicine
Depart­ment of Psychology
Haart­maninkatu 3
00290 Helsinki
Finland 

     

Profile

Sher­win obtained a B.Sc. in Infor­ma­tion Tech­nol­o­gy Engi­neer­ing from Islam­ic Azad Uni­ver­si­ty (Zan­jan, Iran) and an M.Sc. in Cog­ni­tive Sci­ence (Mind, Brain and Edu­ca­tion) from the Insti­tute for Cog­ni­tive Sci­ence Stud­ies (Tehran, Iran). For his master’s the­sis, he devel­oped a bio­log­i­cal­ly plau­si­ble frame­work that com­bined spik­ing neur­al net­works with a neu­ral­ly inspired dif­fu­sion mod­el to inves­ti­gate lex­i­cal deci­sion mak­ing, link­ing neur­al fir­ing pat­terns to behav­ioral mea­sures such as response time and confidence.

He lat­er joined the Insti­tute for Research in Fun­da­men­tal Sci­ences (IPM, Tehran) to work on nov­el ker­nel meth­ods for sup­port vec­tor machines and con­tin­ued his research in com­pu­ta­tion­al mod­el­ing of deci­sion mak­ing at the Com­pu­ta­tion­al & Math­e­mat­i­cal Psy­chol­o­gy Lab of Shahid Beheshti Uni­ver­si­ty. Most recent­ly, he exam­ined rein­force­ment-learn­ing accounts of the Iowa Gam­bling Task, using sim­u­la­tions and para­me­ter-space-par­ti­tion­ing to test whether human choice pat­terns can be repro­duced by exist­ing mod­els. In 2025, Sher­win began his PhD at the O’BRAIN Lab, where he applies brain-inspired spik­ing neur­al net­works to study how binge-eat­ing dis­or­der alters con­nec­tiv­i­ty and tem­po­ral dynam­ics in reward and con­trol cir­cuits, and whether dis­tinct spa­tio-tem­po­ral acti­va­tion sig­na­tures can dif­fer­en­ti­ate BED from obe­si­ty and healthy controls.

Curriculum Vitae

2025- Doc­tor­al Researcher, O’Brain Lab, Depart­ment of Psy­chol­o­gy, Uni­ver­si­ty of Helsin­ki, Finland.
2025 MSc in Cog­ni­tive Sci­ence (Mind, Brain, Edu­ca­tion), Insti­tute for Cog­ni­tive Sci­ences Stud­ies, Tehran.
2020–2024 Researcher, Com­pu­ta­tion­al and Math­e­mat­i­cal Psy­chol­o­gy Lab, Shahid Behesti Uni­ver­si­ty, Tehran, Iran.
2019–2024 Soft­ware Engi­neer, Righ­Tel Cor­po­ra­tions, Tehran, Iran
2019 Researcher, School of Com­put­er Sci­ence, Insti­tute for Research in Fun­da­men­tal Sci­ences, Tehran, Iran.
2018 Soft­ware Devel­op­er, Gold­en Group EP GmbH, Tehran, Iran.
2015–2017 Lin­ux Admin­is­tra­tor, Python Devel­op­er, ZTESoft, Tehran, Iran
2011 B.Sc in Infor­ma­tion Tech­nol­o­gy Engi­iner­ing, Zan­jan, Iran

Publications

Paper

Janbe­saraei, S. N., Rasanan, A. H. H., Moay­eri, M. M., Sri­vas­ta­va, H. M., & Rad, J. A. (2025). Mul­ti-dimen­sion­al scal­ing. In Dimen­sion­al­i­ty Reduc­tion in Machine Learn­ing (pp. 157–186). Mor­gan Kauf­mann. https://doi.org/10.1016/B978‑0–44-332818–3.00016–2
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Janbe­saraei, S.N., Rasanan, A.H.H., Nejati, V. et al. Do Human Rein­force­ment Learn­ing Mod­els Account for Key Exper­i­men­tal Choice Pat­terns in the Iowa Gam­bling Task?. Com­put Brain Behav 8, 286–320 (2025). https://doi.org/10.1007/s42113-024–00228‑2
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Nedaei Janbe­saraei, S., Azmoon, A., Baleanu, D. (2023). Frac­tion­al Gegen­bauer Ker­nel Func­tions: The­o­ry and Appli­ca­tion. In: Rad, J.A., Parand, K., Chakraver­ty, S. (eds) Learn­ing with Frac­tion­al Orthog­o­nal Ker­nel Clas­si­fiers in Sup­port Vec­tor Machines. Indus­tri­al and Applied Math­e­mat­ics. Springer, Sin­ga­pore. https://doi.org/10.1007/978–981-19–6553-1_5
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Hadi­an Rasanan, A.H., Nedaei Janbe­saraei, S., Baleanu, D. (2023). Frac­tion­al Cheby­shev Ker­nel Func­tions: The­o­ry and Appli­ca­tion. In: Rad, J.A., Parand, K., Chakraver­ty, S. (eds) Learn­ing with Frac­tion­al Orthog­o­nal Ker­nel Clas­si­fiers in Sup­port Vec­tor Machines. Indus­tri­al and Applied Math­e­mat­ics. Springer, Sin­ga­pore. https://doi.org/10.1007/978–981-19–6553-1_3
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Hadi­an Rasanan, A.H., Nedaei Janbe­saraei, S., Azmoon, A., Akha­van, M., Amani Rad, J. (2023). Clas­si­fi­ca­tion Using Orthog­o­nal Ker­nel Func­tions: Tuto­r­i­al on ORSVM Pack­age. In: Rad, J.A., Parand, K., Chakraver­ty, S. (eds) Learn­ing with Frac­tion­al Orthog­o­nal Ker­nel Clas­si­fiers in Sup­port Vec­tor Machines. Indus­tri­al and Applied Math­e­mat­ics. Springer, Sin­ga­pore. https://doi.org/10.1007/978–981-19–6553-1_12
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Poster

Nedaei Janbe­saraei, S., Hadi­an Rasanan, A., Amani Rad, J., & Kher­ad­pisheh, S. (2024, June). A joint spik­ing neur­al net­work and neu­ral­ly-inspired evi­dence accu­mu­la­tion mod­el­ing approach to human lex­i­cal deci­sion­mak­ing. Paper pre­sent­ed at Vir­tu­al MathPsych/ICCM 2024. Via mathpsych.org/presentation/1502

Nedaei Janbe­saraei, S., Hadi­an Rasanan, A. H, Amani Rad, J. (2022), A spe­cif­ic cog­ni­tive mod­el is not the best mod­el every­where: Explo­ration on IGT mod­els. Poster pre­sent­ed at the 10th Neu­ro­science Con­gress, Basic and Clin­i­cal Neu­ro­science (BCN), Iran Uni­ver­si­ty of Med­ical Sci­ences, Tehran, Iran.