Zeeshan Ahmed
Zeeshan Ahmed
Post Doc. and Scientific Software Engineer
Department of Neurobiology and Genetics
University of Wuerzburg
Germany
Dr. Zeeshan AHMED has received his PhD in Bioinformatics from the University of Wuerzburg Germany during the period of 2010-2012. Currently, he is working as the Post Doc. and Scientific Software Engineer, and in the central computation support administration and project coordination of the collaborative research center of DFG project i.e. SFB 1047 at the Department of Neurobiology and Genetics, Biocenter, University of Wuerzburg Germany. His research focuses on how computers can be well assimilated in the Scientific World, especially towards the implementation of new, user friendly prototype solutions for complex biological data analysis and experimentation in neural, behavioral research. Based on this research he has received several awards and honors, such as Best Young Researcher, Best PhD Student, Best Conference Paper, Potential Conference Paper, Best Presenter, Best Editor, Memento, Grants, Funds, Distinguished Compliments and Nominations. Moreover he has achieved some University Distinctions, accomplished some Programming contests victories, won some Talent Awards, obtained Top Positions in some exams and got some distinguished participation. He is serving as the expert Reviewers for some well reputed international conferences and journals like Frontiers in Neuroinformatics, Current Biotechnology, Journal of Information Technology Research, Social Network Analysis and Mining, LNCS Transactions on Computational Collective Intelligence, Multimedia Tools and Applications etc. He has more than 50 peer reviewed (First/Last/Solo Author) publications with well reputed publishers (including: Oxford Journals, BioMed Central, Frontiers, Faculty 1000, IEEE, ACM, Emerald, Bentham Science, IOS Press, iConcept, Whittles, IADIA Press, INCF, NEDB, Springer etc.), in Journals, Books and International Conferences.
His research focuses on how computers can be well assimilated in the Scientific World, especially towards the implementation of new, user friendly prototype solutions for complex biological data analysis and experimentation in neural, behavioral research.