Environmental Biogeochemistry & Sensors

Zhang, Yang, Steven Smith, Michelle L. Bell, Amy Mueller, Matthew Eckelman, Sara Wylie, Elizabeth L. Sweet, Ping Chen, and Deb A. Niemeier. “Pollution inequality 50 years after the clean air act: the need for hyperlocal data and action.” Environmental Research Letters (2021).

Alam, Md Mahbubul, Varun Srinivasan, Amy V. Mueller, and April Z. Gu. “Status and Advances in Technologies for Phosphorus Species Detection and Characterization in Natural Environment-A Comprehensive Review.” Talanta (2021): 122458.

Codden, C.J., A.M. Snauffer, A.V. Mueller, C.R. Edwards, M. Thompson, Z. Tait, and A. Stubbins. 2020. Predicting dissolved organic carbon concentration in a dynamic salt marsh creek via machine learning.  Limnology and Oceanography Methods.

Wang, Z.A., H. Moustahfid, A.V. Mueller, A.P.M. Michel, M. Mowlem, B.T. Glazer, A. Mooney, W. Michaels, J.S. McQuillan, J.C. Robidart, J. Churchill, M. Sourisseau, A. Daniel, A. Schaap, S. Monk, K. Friedman, and P. Brehmer. 2019. Advancing Observation of Ocean Biogeochemistry, Biology, and Ecosystems With Cost-Effective in situ Sensing Technologies.  Frontiers in Marine Science 6, article 519.

Mueller, A., Crusius, J., Agudelo, A., and Shaikh, F.  A Novel High-Resolution Trace Metal Clean Sampler for Stationary, Profiling, and Mobile Deployment.  IEEE Sensors:  Special Issue IEEE/MTS Oceans Conference 2018.

Mueller, A.V. and H.F. Hemond. Statistical generation of training sets for measuring NO3-, NH4+, and major ions in natural waters by an ion selective electrode array. Env. Science: Processes & Impacts 18:  590-599.  PDF.

Mueller, A.V. and H.F. Hemond. 2013. Extended Artificial Neural Networks: Incorporation of a priori chemical knowledge enables use of Ion Selective Electrodes for in-situ measurement of ions at environmentally-relevant levels. Talanta 117: 112-118.    PDF

Mueller, A.V. and H.F. Hemond. 2011. Towards an automated, standardized protocol for determination of equilibrium potential of ion-selective electrodes. Analytica Chimica Acta 590: 71-78.    PDF

Herring, K.T., A.V. Mueller, and D.H. Staelin. 2009. Blind Separation of Noisy Multivariate Data using Second Order Statistics: Remote Sensing Applications. IEEE Transactions on Geoscience and Remote Sensing 47(10): 3406-3415.    PDF

Hemond, H. F., A.V. Mueller, and M. Hemond. 2008. Field testing of lake water chemistry with a portable and an AUV-based mass spectrometer. Journal of the American Society for Mass Spectrometry 19: 1403-1410.    PDF

Hemond, H., J. Cheung, A. Mueller, J. Wong, M. Hemond, D. Mueller, and J. Eskesen. 2008. The NEREUS In-lake Wireless/Acoustic Chemical Data network. Limnology and Oceanography Methods 6: 288-298.    PDF

Multimodal Data Fusion and Environmental Infrastructure Applications

Zhang, Wenjin, Nicholas B. Tooker, and Amy V. Mueller. “Enabling wastewater treatment process automation: leveraging innovations in real-time sensing, data analysis, and online controls.” Environmental Science: Water Research & Technology 6, no. 11 (2020): 2973-2992.

Bokade, Rohit, Alfred Navato, Ruilin Ouyang, Xiaoning Jin, Chun-An Chou, Sarah Ostadabbas, and Amy V. Mueller. “A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing.” Expert Systems with Applications (2020): 113885.

Snauffer, A.M., Chauhan, U., Cogert, K., Winkler, M.K.H., and A. Mueller.  2019.  Data Fusion for Environmental Process Control: Maximizing Useful Information Recovery under Data Limited Constraints.  IEEE Sensors Letters:  Special Issue on Multimodal Data Fusion.

Chou, C., Jin, X., Mueller, A., and Ostadabbas, S. (Eds.).  2019.  Multimodal Data Fusion – Moving from Domain-Specific Algorithms to Trans-Domain Understanding for Accelerated Solution Development.  IEEE Sensors Letters:  Special Issue on Multimodal Data Fusion.

Chou, Chun-An, Xiaoning Jin, Amy Mueller, and Sarah Ostadabbas. “MMDF 2018 Multimodal Data Fusion Workshop Report.” (2018).


Cicilio, Phylicia, Matthew Orosz, Amy Mueller, and Eduardo Cotilla-Sanchez. “uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification.” IEEE Access 7 (2019): 163988-163999.

Orosz, M., Altes-Buch, Q., Mueller, A., and V. Lemort.  2018.  Experimental validation of an electrical and thermal energy demand model for health centers in sub-Saharan Africa.  Journal of Applied Energy 218:  382-390.

Mueller, A.V., M.S. Orosz, A. Narasimhan, R. Kamal, H. Hemond, and Y. Goswami. 2016. Evolution and feasibility of decentralized concentrating solar thermal power systems for modern energy access in rural areas. MRS Energy and Sustainability 3:  E4.  DOI: 10.1557/mre.2016.4. (PDF).

Orosz, M.S. and A.V. Mueller. 2015. Dynamic Simulation of Performance and Cost of Hybrid PV-CSP-LPG Generator Micro Grids with Applications to Remote Communities in Developing Countries. Proceedings of the ASME 2015 Power & Energy Conference (PowerEnergy2015), June 28-July 2, 2015, San Diego, CA, USA.   PDF

Orosz, M.S., A.V. Mueller, B.J. Dechesne, and H.F. Hemond. 2013. Geometric Design of Scroll Expanders Optimized for Small Organic Rankine Cycles. ASME Journal of Engineering for Gas Turbines and Power 135(4): 042303.    PDF


Mueller, Amy V., Matthew J. Eden, Jessica M. Oakes, Chiara Bellini, and Loretta A. Fernandez. “Quantitative method for comparative assessment of particle removal efficiency of fabric masks as alternatives to standard surgical masks for PPE.” Matter 3, no. 3 (2020): 950-962.


Chauhan, U.  (December 2018.)  Characterization Of Reactor Composition For Development Of In-situ Sensing Technology For A Novel Biological Process.  (MS Thesis.)  Northeastern University Department of Civil and Environmental Engineering, Boston, MA.

Mueller, A.  (June 2012.)  Development of a Combined Multi-Sensor/Signal Processing Architecture for Improved In-Situ Quantification of the Charge Balance of Natural Waters. (Doctoral dissertation.) Massachusetts Institute of Technology Department of Civil and Environmental Engineering, Cambridge, MA.  Abstract

Mueller, A.  (June 2003.)  Iterative Blind Separation of Gaussian Data of Unknown Order. (Master’s thesis.) Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Cambridge, MA.  Abstract