Ph.D, Biological Engineering, Computational Life Science (CLS), Purdue University, West Lafayette, IN, USA.
M.S. Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
M.S. Biological Engineering, Purdue University, West Lafayette, IN, USA.
B. Tech. Electronics Engineering, NIT, Allahabad, India
Biography
Md. Shahriar Karim completed his doctoral degree in biological engineering (and computational life science) from Purdue University, West Lafayette, USA, in December 2016. He has also completed a Master’s in biological engineering and a Master’s degree in Electrical Engineering from Purdue University, USA. Prior to the graduate studies, Md. Shahriar Karim earned his Bachelor in Electronics Engineering from National Institute of Technology, Allahabad, India.
Research Areas
Research Interests
- Quantitative Systems Biology
- Modeling of Dynamical Systems
- Estimation and Detection Theory
- Computational Biology
Teaching
Selected Publications
Journals
- Md. Shahriar Karim, Gregery T. Buzzard, David M. Umulis, “Efficient calculation of steady state probability distribution for stochastic biochemical reaction network,” BMC Genomics Supplement, 2012
- Md. Shahriar Karim, Gregery T. Buzzard, David M. Umulis, “Secreted, receptor-associated BMP regulators reduce stochastic noise intrinsic to many extracellular morphogen distributions.,” Journal of the Royal Soc. Interface, 2012
- Md. Shahriar Karim, Aasakiran Madamanchi, James A. Dutko, Mary C. Mullins, David M. Umulis, “Heterodimer-heterotetramer formation mediates enhanced sensor activity in a biophysical model for BMP signaling,” PLOS Computational Biology, September 30, 2021. doi 10.1371/journal.pcbi.1009422, 2021
Conference Papers
- Md. Shahriar Karim, Hans G. Othmer, David M. Umulis, “Leveraging compute clusters for large-scale parametric screens of reaction-diffusion systems,” The 26th conference on Parallel, Distributed, and Network-Based Processing (PDP 2018), March 21-23, Cambridge, UK, 2018
- Md. Shahriar Karim, Gregery T. Buzzard, David M. Umulis, “Steady state probability approximation applied to stochastic model of biological network,” IEEE International Workshop on Genomic Signal Processing and Statistic, December 4-6, 2011, San Antonio, Texas, USA, 2011
- Md. Shahriar Karim, Gregery T. Buzzard, David M. Umulis, “Modulation of Morphogen Dynamics Can Lead to Robustness and Scaling of Patterns in Development,” The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14), August 26-30, 2014 Chicago, Illinois, USA, 2014
- Syed Mustavi Maheen, Moshiur Rahman Faisal, Md. Rafakat Rahman and Md. Shahriar Karim, “Alternative non-BERT model choices for the textual classification in low-resource languages and environments,” The third edition of Deep Learning for Low-Resource NLP, 2022, collocated with NAACL 2022., 2022
- Md. Rakibur Rahman, Md. Mafri Chowdhury, Md. Shohanur Rahaman Sarkar, Md. Shahriar Karim, “A Multichannel Localization Method For Camouflaged Object Detection,” IEEE International Conference on Image Processing, 2023
- Moshiur Rahman, Muhtasim Ishmum Khan, Md. Shahriar Karim, “Design of a molecular exchange-based robust perceptron for biomolecular neural network,” The Second Tiny Papers Track at International Conference on Learning Representations (ICLR), 2024
- Muhtasim Ishmum Khan, Moshiur Rahman, Md. Shahriar Karim, “Development of A Molecular Exchange Mechanism-based Biomolecular Neural Network,” Generative and Experimental Perspectives for Biomolecular Design (GEM) at International Conference on Learning Representations (ICLR), 2024