Fennell, Donna E.
Phone: 732-932-9800, ext. 6204
Ph.D., Cornell University, 1998
Professional Summary/CV [.PDF]
Department of Environmental Sciences, School of Environmental and Biological Sciences, New Brunswick; Rutgers
Areas of Interest
Anaerobic reductive dehalogenation, Dechlorination of dioxins and PCBs, Bioremediation, Bioenergy, Bioaerosols.
Bioenvironmental Engineering Processes, Elements of Water and Wastewater Treatment, Biological Principles of Environmental Science.
Memberships and Professional Service
American Chemical Society, American Society of Microbiology, Association of Environmental Science and Engineering Professors; Reviewer for Applied and Environmental Microbiology, Environmental Science and Technology, and Biodegradation.
Donna with Post Doctoral fellow, Valdis Krumins, taking a core sample, 2007.
Grants, Honors, and Awards
Stategic Environmental Research and Development Program, DoD, Quantifying Enhanced Microbial Dehalogenation Impacting the Fate and
Transport of Organohalide Mixtures in Contaminated Sediments, 2006-2009; National Science Foundation, Is Air an Active Microbial Ecosystem? 2006-2008; DuPont Corporation, Combined Physical-Chemical-Biological Treatment of 4-Chloroaniline and Aniline, 2006-2009; Department of Education Grants in Areas of National Needs (GAANN), Interdisciplinary Graduate Education in Environmental Science and Engineering, 2006-2009; New Jersey Agricultural Experiment Station, Bioreactor Landfill Biogeochemical Processes, 2006-2009.
Academic Interests and Plans
Research in my lab focuses on the use of microbial processes for bioremediation and bioenergy production. Our recent work has involved anaerobic bioremediation of groundwater aquifers contaminated with chlorinated ethenes and chlorinated anilines and sediments contaminated with polychlorinated dibenzo-p-dioxins and furans(PCDD/Fs). Our research approach combines environmental engineering with traditional microbiological culture and enrichment techniques, community structure analysis using molecular techniques and system prediction using biokinetic simulation models. This combined approach provides fundamental and predictive information for formulating site-specific engineering solutions for bioremediation and waste treatment systems.