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Ananda M. Mondal

Assistant Professor
Biography

Dr. Ananda Mohan Mondal is currently an Assistant Professor in the School of Computing and Information Sciences at Florida International University (FIU). His research interests include Big Data Analytics, Machine Learning with Special Interest in Deep Learning, and Bioinformatics.

Prior to joining FIU, Dr. Mondal was an Assistant Professor (2012-2018) of Computer Science in the Department of Mathematics and Computer Science at Claflin University, South Carolina. At Claflin University, a liberal arts and primarily undergraduate teaching institute, Dr. Mondal was a strong proponent of bringing research to undergraduate classes he taught. He developed four courses to introduce his research in Big Data and Bioinformatics to undergraduate students at Claflin University. Students mentored by Dr. Mondal graduated with refereed publications in IEEE BIBE, IEEE BIBM, and BIOCOMP. As the culmination of his career at Claflin, Dr. Mondal received the prestigious NSF CAREER Award in 2017. He was tenured and promoted to Associate Professor at Claflin University in August 2018. In Bangladesh, Dr. Mondal served as a Lecturer and then as an Assistant Professor in the Department of Chemical Engineering at Bangladesh University of Engineering and Technology (BUET). He received his Ph.D. in Computer Science and Engineering from the University of South Carolina in 2011.

Dr. Mondal has served as the session chairs for the IEEE BIBM, IEEE BIBE, and BIOCOMP. He is a peer reviewer for Bioinformatics and IEEE BIBM. He is a member of ACM, IEEE, and ISCB.

Dr. Mondal received the Research Excellence Award twice (2015 and 2017) from the School of Natural Sciences and Mathematics at Claflin University. He also received The Attorney William H. and Annette B. Johnson Endowed Annual Faculty Award for Innovative Scientific Research Award at Claflin University (2017). Dr. Mondal is a recipient of the prestigious NSF CAREER Award (2017).

Honors and Awards
  • NSF CAREER Award (2017-2022): Division of Information and Intelligent Systems (IIS) under the CISE directorate.
  • Innovative Scientific Research Award: The Attorney William H. and Annette B. Johnson Endowed Annual Faculty Award, Claflin University, May 13, 2017.
  • Research Excellence Award: School of Natural Sciences and Mathematics, Claflin University, May 9, 2017.
  • Award for outstanding contribution at the Grant Writing Workshop, Claflin University, May 9, 2016. Give a talk on “Things to Know – Beginners’ Perspective.”
  • Research Excellence Award: School of Natural Sciences and Mathematics, Claflin University, May 13, 2015.
Research and Educational Interests
  • Big Data Analytics
  • Machine Learning with special interest in Deep Learning
  • Bioinformatics
Background Education
2011 Ph.D., Computer Science and Engineering, University of South Carolina
Professional Activities

Reviewer

  • Bioinformatics
  • IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Session Chair

  • IEEE International Conference on Bioinformatics and Biomedicine, BIBM2015, 9-12 Nov 2015, Bethesda, Maryland.
  • IEEE International Conference on Bioinformatics and Bioengineering, BIBE’14, November 10-12, 2014, Boca Raton, Florida.
  • International Conference on Bioinformatics & Computational Biology, BIOCOMP’13, July 25-28, 2013, Las Vegas, Nevada.
  • The 2012 International Conference on Bioinformatics & Computational Biology, BIOCOMP’12, July 16-19, 2012, Las Vegas, Nevada.
  • IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012, 4-7 Oct 2012, Philadelphia.
Professional Experience

2018 – Present Time: Assistant Professor, School of Computing and Information Sciences, Florida International University, Miami, FL
2012 – 2018: Assistant Professor, Department of Mathematics and Computer Science, Claflin University, Orangeburg, SC
2005 – 2012: Instructor, Department of Mathematics and Computer Science, Claflin University, Orangeburg, SC
2003 – 2005: Database Administrator, Information Technology, Claflin University, Orangeburg, SC
1995 – 1997: Assistant Professor, Department of Chemical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh
1991 – 1995: Lecturer, Department of Chemical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

Selected Publications
  1. Kenne, G. J., Gummadidala, P. M., Omebeyinje, M. H., Mandal, A. M., *Bett, D. K., McFadden, S., Bromfield, S., Banaszek, N., Velez-Martinez, M., Mitra, C., Mikell, I., Chatterjee, S., Wee, J., and Chanda, A., “Activation of aflatoxin biosynthesis alleviates total ROS in Aspergillus parasiticus,” Toxins 2018, 10, 57. doi: 10.3390/toxins10020057. (Outcome of a collaborative research between Dr. Mondal’s research group at Claflin University and Dr. Chanda’s research group at the University of South Carolina). *Undergraduate student.
  2. *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). *Undergraduate student.
  3. *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). *Undergraduate student.
  4. 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).
  5. *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). *Undergraduate student.
  6. 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).
  7. 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).
  8. 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).
  9. Lin JR, Mondal, A. M., Liu, R., and Hu, J., “Minimalist Ensemble Algorithms for Genome-wide Protein Localization Prediction”, BMC Bioinformatics, 13:157 (2012).
  10. 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).
  11. 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).