Gurudeeban Selvaraj (a member of the International Society for Vaccines) is currently a senior researcher and an advisory committee member at CERMM, Concordia University, Canada. He has authored or co-authored more than 100 research articles with 2100 scholarly citations (H index—23) in reputed journals, including the International Journal of Molecular Sciences, Briefings in Bioinformatics, Frontiers in Pharmacology, the Current Medicinal Chemistry, the Journal of Biomedical Informatics, Phytomedicine, IEEE/ACM TCBB, the Journal of Physical Chemistry C, Current Pharmaceutical Design, and the Journal of Nanobiotechnology. His research focuses on integrating machine learning models for target identification and vaccine design using multi-omics data of infectious diseases and cancer. Prior to joining CERMM, he was a research assistant professor equivalent at the Henan University of Technology, and a postdoctoral researcher at Istanbul Medeniyet University. He has been the recipient of various prestigious research grants and fellowships from the MITACS Globalink, Concordia's Bridge funding, DRDC, NSERC (Canada), the China Postdoctoral Science Foundation, the Henan Postdoctoral Science Foundation, TUBITAK (Turkey), and UGC (India). He was an associate editor of the Bentham Science, MDPI, and IEEE journal publishers and has reviewed more than 200 papers. He has also participated in more than 40 different international and national conferences and workshops.
Gurudeeban Selvaraj (a member of the International Society for Vaccines) is currently a senior researcher and an advisory committee member at CERMM, Concordia University, Canada. He has authored or co-authored more than 100 research articles with 2100 scholarly citations (H index—23) in reputed journals, including the International Journal of Molecular Sciences, Briefings in Bioinformatics, Frontiers in Pharmacology, the Current Medicinal Chemistry, the Journal of Biomedical Informatics, Phytomedicine, IEEE/ACM TCBB, the Journal of Physical Chemistry C, Current Pharmaceutical Design, and the Journal of Nanobiotechnology. His research focuses on integrating machine learning models for target identification and vaccine design using multi-omics data of infectious diseases and cancer. Prior to joining CERMM, he was a research assistant professor equivalent at the Henan University of Technology, and a postdoctoral researcher at Istanbul Medeniyet University. He has been the recipient of various prestigious research grants and fellowships from the MITACS Globalink, Concordia's Bridge funding, DRDC, NSERC (Canada), the China Postdoctoral Science Foundation, the Henan Postdoctoral Science Foundation, TUBITAK (Turkey), and UGC (India). He was an associate editor of the Bentham Science, MDPI, and IEEE journal publishers and has reviewed more than 200 papers. He has also participated in more than 40 different international and national conferences and workshops.