Dr. Raman Lall

Dr. Lall is credentialed with Ph.D in Chemical Engineering and his research has involved modeling of the pyruvate metabolism pathway in Lactococcus Lactis from time-series data using the power law representation with linear and non-linear regression. A statistical analysis was performed to obtain confidence levels of kinetic parameters and using them to enhance ethanol production. He was involved with the development, design and implementation of a relational database in Oracle 8i for a biochemical database using Entity-Relationship modeling. SQL statements were used to perform complex queries that yielded information for building flux balance models. Within engineering mathematics, areas of emphasis have included the solution of first order, second order, higher order, systems of differential equations and matrix algebra. Applications of differential equations in the fields of science and engineering have included decay of radioactive compounds, change of salt concentration in a mixing tank and determination of current or charge in an electric circuit. Matrix Algebra has included methods of Gauss elimination, rank, inverse, eigenvalues and eigenvectors. Within statistics areas of emphasis have included probability, measures of central tendency, variance and frequency distribution, sampling methods and regression analysis.

In Dr. Lall's role as Faculty at Delaware, he taught a General Computer Science for Engineers Course using Matlab and C++, which was a rigorous course for freshman engineering students. He supervised two teaching assistants for the course who ran four lab sections of twenty students each. Dr. Lall pursued a teaching strategy that encouraged student involvement as well as demonstration of their content knowledge. The teaching delivery included providing a highly organized lesson, questioning students and providing examples. This added to the energy of the room over the course of the quarter, and made the instructional time valuable and useful to the students.

Dr. Lall believes that while general techniques, skills and methods are important, the enthusiasm created by a teacher is an essential characteristic to possess. His students have indicated that they have benefited from his enthusiasm and knowledge that were a result of his preparation, efficiency and flexibility where he often modified course contents to meet student needs. He used various sources such as alternative textbooks and the Internet to cover relevant material in the class. Teamwork and collaboration have always been encouraged in his assignments and projects. He believes that any scientific endeavor is rarely done in a vacuum; therefore it is to the student’s advantage to learn the benefits of collaborating. As an Online Instructor, he has made himself accessible to the students via phone, email, holding office hours and setting appointments when necessary. When email communications were not sufficient, he has conducted Whiteboard sessions.

Dr. Lall's research has focused on the mathematical modeling of biochemical pathways using the power law representation and the design and implementation of a pathway database using Entity-Relationship modeling. He have published extensively in peer-reviewed journals and presented at academic conferences throughout the United States.

Programs

• General Education

Publications

• Lall,R., Donohue, T., Marino, S., & Mitchell, J. (2010, January) Optimizing Ethanol Production Selectivity, " Mathematical and Computer Modeling ;
• Lall, R., & Mitchell, J. (2007, August). Modeling the Metal Reduction Kinetics in Shewanella Bioinformatics ; doi: 10.1093/bioinformatics/btm400
• Lall, R., & Voit, O. E (2005, October). Parameter estimation in modulated unbranched reaction chains within biochemical systems. "Computational Biology and Chemistry", 29(5), 309-318,
• Lall, R., Almeida, J., Neves, A., & Voit, O. E (2006, April). "IEE Proceedings in Systems Biology"
• Lall, R., Gao, G., Dhurjati, P., & Edwards, J (2003, June) MRAD: Metaboilc Reaction Analysis Database:An Entity-Relationship Approach. "Journal of Molecular Microbiology and Biotechnology".
• Lall, R., Marino, S., & Voit. O. E., (2004, May) "Challenges for the Identification of Biological Systems from Time Series Data"
• Lall, R., Mutharasan, R., Dhurjati, P., & Shah. T. Y., (2003, February) "Water Environment Research"

Presentations

• Lall R., Donohue. T., and Mitchell . J., (October 2009). Optimizing Ethanol Production Selectivity. "ASEE Mid-Atlantic Conference, King of Prussia, PA"
• Lall, R., & Mitchell, J., (October 2006). Modeling the Shewenalla Oneidensis Metal Reducing Pathway from Time Series Data Using the S-system. "Biomedical Engineering Society Annual Meeting, Chicago, Illinois".
• Lall. R and Mitchell. J, (September 24-28, 2006) Modeling the Metal Reduction Pathway in Shewanella Oneidensis from Experimental Time-Series Data using the S- systems representation and a Generalized Least Square Method ″14th Annual International Meeting on Microbial Genomics, Lake Arrowhead, CA″
• Cunningham. C. S., Lall. R., Donohue. T., Mitchell. J., (May 2005). Integration of Kinetic Information in the Calvin Cycle Pathway in Rhodobacter sphaeroides & Development of a S-system Representation."Biocomplexity 7 – Unravelling the Function and Kinetics of Biochemical Networks: from Experiments to Systems Biology, Bloomington, Indiana"
• Lall R., Marino S., Neves. R. A., Santos. H., Almeida. S. J., and Voit. O E., (August 2004). Modeling the Glycolytic Pathway in Lactococcus lactis from Experimental Time Series Data using S-systems and a Generalized Least Squares Method. "Molecular Systems Biology: Gene Circuitry, Dynamical Control, and Software Development and Integration. Grandlibakken Conference Center, Tahoe City, California"
• Lall R., Neves. R. A., Santos. H., Almeida. S. J., and Voit. O E., (March 2004) Modeling the Glycolytic Pathway of Lactococcus lactis from Experimental Time Series Data using the S-System Representation and the Web-based tool, Webmetabol. "South Carolina Bioinformatics Symposium, Wild Dunes Resort, Isle of Palms, South Carolina"
• Lall R., Neves. R. A., Santos. H., Almeida. S. J., and Voit. O E., (November 2003) A New Approach to Parameter Estimation using S-systems: Modeling the Glycolytic Pathway of Lactococcus Lactis. "Fourth Georgia Tech and University of Georgia International Conference on Bioinformatics, Atlanta, Georgia"

Areas of Expertise

Dr. Lall's areas of expertise include:

• Modeling of Biochemical Pathways
• Design and Implementation of Metabolic Databases
• Engineering Mathematics
• Statistics
• Calculus

Education History

• Ph.D. in Chemical Engineering - Drexel University (2001)
• MS in Environmental Engineering - Rutgers University (1992)
• MS in Chemical Engineering - University of Massachusetts, Lowell
• BS - Indian Institute of Technology, Kharagpur (1983)

Associations

ISCB

Honors & Awards

• 2012, 2009 "Marquis Who's Who in America"
• B. Tech (Honors) in Chemical Engineering