Dr. Ananda Mohan Mondal

Dr. Mondal is a strong proponent of introducing research into undergraduate curriculum and producing publishable work by the undergraduate students to help them prepare for the competitive job market as well as for graduate studies

Biography

To introduce his research area of Bioinformatics to undergraduate, Dr. Mondal developed three courses related to Bioinformatics. Students mentored by Dr. Mondal have graduated with refereed publication. Some students mentored by Dr. Mondal accepted Information Technology jobs at Boeing, Dell, General Motors, Infosys, etc. and others went for graduate studies at Clemson University, University of Florida, George Mason University, University of Utah, etc.

Before coming to Claflin University, Dr. Mondal had an opportunity to work as a Lecturer then as an Assistant Professor in the Department of Chemical Engineering at Bangladesh University of Engineering and Technology (BUET), the University where he graduated from. Teaching at BUET motivated Dr. Mondal to develop his career in academia as an educator as well as a researcher. Dr. Mondal also taught some courses during his graduate studies at North Carolina A&T State University and University of South Carolina. Three inspiring accolades from the students are worth mentioning: At BUET while teaching Thermodynamics – “Mr. Mondal explains the difficult concepts in such a manner that it becomes so easy to understand and follow”; At the University of South Carolina while teaching Introduction to Computer Architecture as the replacement instructor, the very first day of class – “Today is the first day, we (students) understood the subject materials”; Finally, at Claflin University – “Dr. Mondal is the kind of professor we need for Claflin University.”

Education

Ph.D. in Computer Science and Engineering, University of South Carolina

M.E. in Computer Engineering, University of South Carolina

M.S. in Chemical Engineering, North Carolina A&T State University

B.S. in Chemical Engineering, Bangladesh University of Engineering and Technology

Research Interests

Dr. Mondal’s research area is Bioinformatics and Data Analytics in general. Three major research directions are: (1) Diffusion Kernel to Extract Meaningful Biological Information from PPI Network and Its Applications, (2) Network-Based Disease Analysis, and (3) Epigenetics-Based Analysis of Cognitive Responses.

Diffusion Kernel to Extract Meaningful Biological Information from PPI Network and Its Applications: Protein Subcellular LocalizationProtein Subnetwork Biomarker Identification, Early Warning Signals for Human Diseases, and Identifying Missing Connections in a Network. Diffusion kernel is a computational framework, which is based on the physical phenomenon of gas diffusion in a medium, which is also equivalent to the Computer Science concept, random walk on a graph. It provides suitable computational framework to extract meaningful biological information from PPI network.

Network-Based Disease Analysis: Graph-theoretic to analyze disease progression in molecular level using protein-protein interaction (PPI) network, gene expression, and epigenetic alterations. Usually, a group of proteins or genes work together to perform a biological function or to cause a disease. Two important research questions we are addressing are: (a) Do the proteins or genes form a specific graph structure for a disease stage? (b) How do the disease causing signals transform from stage to stage? Or, do the genes for different stages of a disease form a specific graph structure?

Epigenetics-Based Analysis of Cognitive Responses: Cognition is a highly complex process that engages multiple brain functions, most of which are not fully understood. But proper functioning of cognitive processes such as complex attention, efficiency of information processing, executive functioning, processing speed, and both short and long-term memory are essential for better interpretation of a complex context or environment like war field. Knowing biological or genetic basis for cognitive processes may shed some light on the fundamental understanding of cognitive responses. Studies showed that aberrant epigenetic modifications to certain genes lead to cognitive disorders like Alzheimer’s Disease (AD), Multiple Sclerosis (MS) and Schizophrenia (Scz). So, our hypothesis is that the cognitive responses can be explained in terms of epigenetic modifications.

Activities and Honors

  • Outstanding contribution at the Grant Writing Workshop, Claflin University, May 9, 2016. Give a talk on “Things to Know – Beginners’ Perspective.”
  • Excellence in Research Award, School of Natural Sciences and Mathematics, Claflin University, May 13, 2015.
  • Google travel award to attend the 4th Annual Google-HBCU Faculty Summit at the Google Headquarters in Mountain View, California, August 7 – 9, 2012.
  • University of South Carolina Graduate School Travel Award for Presenting a Paper at IEEE BIBM 2010 Conference in Hong Kong.
  • Bangladesh University of Engineering and Technology Award for the 1st Position with Honors in Bachelor of Science in Chemical Engineering, 1991.
  • Bangladesh Government Merit Scholarship for 1st Position in Chemical Engineering: 1986 - 1991

Recent Publications

  • Bett, D. K. and Mondal, A. M., “Diffusion Kernel to Identify Missing PPIs in Protein Network Biomarker,” Proceedings, 8th International Workshop on Biomolecular Interaction Network Analysis and Interactomics (IWBNA) in conjunction with IEEE International Conference on Bioinformatics and Biomedicine, BIBM-2015, p. 1614-1619(2015)
  • Timalsina, P., Charles, K., and Mondal, A. M., “STRING PPI Score to Characterize Protein Subnetwork Biomarkers for Human Diseases and Pathways,” Proceedings, 14th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2014, p. 251-156 (2014).
  • Mondal, A. M. and Hu, J., “Network Based Prediction of Protein Localization Using Diffusion Kernel”, International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 9, p. 386-395(2014).
  • Charles, K., Afful, A., and Mondal, A. M., “Protein Subnetwork Biomarkers for Yeast Using Brute Force Method”, Proceedings, The 2013 International Conference on Bioinformatics & Computational Biology, BIOCOMP'13, p. 218 – 223(2013).
  • Mondal, A. M. and Hu, J., “Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel,” Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science (LNCS), Vol. 8251, p. 647-655(2013).
  • Mondal, A. M. and Hu, J., “Mutation Analysis of Disease Causing Proteins”, Proceedings, IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW, p. 975-977 (2012).
  • Mondal, A. M. and Hu, J., “Protein Localization by Integrating Multiple Protein Correlation Networks”, Proceedings, The 2012 International Conference on Bioinformatics & Computational Biology, BIOCOMP'12, p. 82 – 88(2012).
  • Lin JR, Mondal, A. M., Liu, R., and Hu, J., “Minimalist Ensemble Algorithms for Genome-wide Protein Localization Prediction”, BMC Bioinformatics, 13:157 (2012).
  • Mondal, A. M., Lin, JR and Hu, J., “Network Based Subcellular Localization Prediction for Multi-Label Proteins”, Proceedings, IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW, p. 473-480 (2011).
  • Mondal, A. M. and Hu, J., “NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks”, Proceedings, IEEE International Conference on Bioinformatics and Biomedicine, BIBM2010, p. 142-148 (2010).

Recent Presentations

  • Schultz, C. and Mondal, A. M., “SAR- Segmentation, Analysis, and Reintegration: An Algorithm for a Structural Analysis of Protein Interaction Networks,” Intelligent Systems for Molecular Biology (ISMB 2016), July 8 -12, 2016, Orlando, Florida, USA.
  • Bett, D. K. and Mondal A. M., “Diffusion Kernel to Identify Missing PPIs in Protein Network Biomarker,” 8th International Workshop on Biomolecular Interaction Network Analysis and Interactomics (IWBNA) in conjunction with IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Nov 9-12, 2015, Bethesda, Maryland, USA.
  • Timalsina, P., Sheppard, M., Carson, J., Schultz, C., Bett, D., and Mondal, A. M., “Scheduling Disease Progression at Protein Network Level,” Faculty Research Day, 24 October, 2015, Claflin University, Orangeburg, South Carolina, USA.
  • Mondal, A. M., “Graph Theory to Extract Biological Information from PPI Network -Possibility and Challenges,” Research day, 21 March, 2015, Claflin University, Orangeburg, South Carolina, USA.
  • Timalsina, P., Charles, K., and Mondal, A. M., “STRING PPI Score to Characterize Protein Subnetwork Biomarkers for Human Diseases and Pathways,” 14th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2014, 10-12 November, 2014, Boca Raton, Florida, USA.
  • Charles, K., Afful, A., and Mondal, A. M., “Protein Subnetwork Biomarkers for Yeast Using Brute Force Method”, The 2013 International Conference on Bioinformatics & Computational Biology, BIOCOMP'13, 22-25 July, 2013, Las Vegas, USA.
  • Mondal, A. M. and Hu, J., “Protein Localization by Integrating Multiple Protein Correlation Networks”, The 2012 International Conference on Bioinformatics & Computational Biology, BIOCOMP'12, July 16-19, 2012, Las Vegas, Nevada, USA.
  • Mondal, A. M., Lin, JR and Hu, J., “Network Based Subcellular Localization Prediction for Multi-Label Proteins”, IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBM2011, 12-15 Nov 2011, Atlanta, USA.
  • Mondal, A. M. and Hu, J., “NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks”, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, 18-21 Dec 2010, Hong Kong.

Ananda-Mondal
Dr. Ananda Mohan Mondal
Assistant Professor of Math & Computer Science
  • School of Natural Sciences & Mathematics
Contact
James S. Thomas, 113
803-535-5074