Biography

Masoud Soroush is a professor of Chemical and Biological Engineering and an affiliate professor of Materials Science and Engineering at Drexel University, and directs the Future Layered nAnomaterials Knowledge and Engineering (FLAKE) Consortium consisting of research teams from the University of Pennsylvania, Purdue University and Drexel University. He was a visiting scientist at DuPont Marshall Lab, Philadelphia, 2002–2003, and a visiting professor at Princeton University in 2008.

His research incorporates nanocomposites, nanomaterials, polymers, advanced manufacturing, membrane separation, digital solutions, process systems engineering, functional safety, and renewable power generation and storage systems. He has edited/co-edited and contributed to 8 books and has documented his work in more than 400 publications, including over 220 articles. He is an elected Fellow of the American Institute of Chemical Engineers (AIChE) and a senior member of the Institute of Electrical and Electronics Engineers. He has supervised the research projects of 24 PhD, 22 MS, and 39 BS students, as well as seven postdoctoral research associates.

Degrees / Education

• PhD, Chemical Engineering, University of Michigan, 1992
• MSE, Electrical Engineering: Systems, University of Michigan, 1991
• MSE, Chemical Engineering, University of Michigan, 1988
• BS, Chemical Engineering, Abadan Institute of Technology, Iran, 1985

Research Interests

Academic Distinctions

• AIChE Excellence inProcess Development Research Award, 2023
• Drexel Provost Award for Outstanding Career Scholarly Achievement, 2023 
• AIChE’s Institute Award for Excellence in Industrial Gases Technology, 2021
• American Automatic Control Council O. Hugo Schuck Best Paper Award, 1999
• NSF Faculty Early Career Development (CAREER) Award, 1997

Select Publications

• Fang, H., A. Thakur, A. Zahmatkeshsaredorahi, Z. Fang, V. Rad, A. A. Shamsabadi, C. Pereyra, M. Soroush, Andrew M. Rappe, X. G. Xu, B. Anasori, and Z. Fakhraai, “Ti3C2TxMXene Flakes in Air by Removing Confined Water”, Proceedings of the National Academy of Sciences (PNAS) , 121 (28), e2400084121 (2024)
• Ghoreishee, A., D. Lee, D. Papavassiliou, K. Stebe, and M. Soroush, “Modeling and Simulation of Bi-continuous Jammed Emulsion Membrane Reactors for Enhanced Biphasic Enzymatic Reactions,” AIChE J., e18549 (2024)
• Hamzehlouy, A., and M. Soroush, “MXene-Based Catalysts: a Review,” Materials Today Catalysis, 5, 100054 (2024)
• Shamsabadi, A.A., V. Rad, and M. Soroush, “Graphene Oxide/Melamine/Ionic Liquid Membranes for Selective CO2 Separation,” Nano Trends(2024)
• Ghaffarkhah, A., S.A. Hashemi, F. Ahmadijokani, M. Goodarzi, H. Riazi, S.E. Mhatre, O. Zaremba, O.J. Rojas, M. Soroush, T.P. Russell, S. Wuttke, M. Kamkar, and M. Arjmand, “Functional Janus Structured Liquids and Aerogels,” Nature Communications, (2023)
• Shamsabadi, A.A., Fang, H., Zhang, D., Thakur, A., Chen, Y., Zhang, A., Wang, H., Anasori, B., Soroush, M., Gogotsi, Y., and Z. Fakhraai, “The Evolution of MXenes Conductivity and Optical Properties Upon Heating in Air,” Small Methods, 7(10), 2300568 (2023)
• Ghaffarkhah, A., Hashemi, S.A., Rostami, S., Amini, M., Ahmadijokani, F., Pournaghshband Isfahani, A., Rojas, O.J., Kamkar, M., Soroush, M., and M. Arjmand, “Ultra‐Flyweight Cryogels of MXene/Graphene Oxide for Electromagnetic Interference Shielding,” Advanced Functional Materials, 2304748 (2023)
• Hashemi, S.A., Ghaffarkhah, A., Goodarzi, M., Nazemi, A., Banvillet, G., Milani, A.S., Soroush, M., Rojas, O.J., Ramakrishna, S., Wuttke, S., Russell, T.P., Kamkar, M., and M. Arjmand, “Liquid-Templating Aerogels,” Advanced Materials , 35(42), 2302826 (2023)
• Samandari Masooleh, L., J. E. Arbogast, and M. Soroush, “Distributed State Estimation from Infrequent and Delayed Measurements in Large-scale Processes,” AIChE J., 69(4), e18013 (2023)
• Schwartz, D., A. Shokoufandeh, M.C. Grady, and M. Soroush, “Machine Learning Methods,” in Artificial Intelligence in Manufacturing: Concepts and Methods , M. Soroush and R. Braatz (eds.), 1st Edition, Elsevier, ISBN: 0323996728 (2023)
• Schwartz, D., D.V. Poerio, M.C. Grady, Anthony Calabria, A. Shokoufandeh, and M. Soroush, “Artificial Intelligence for Paints/Coatings Manufacturing,” in Artificial Intelligence in Manufacturing: Applications and Case Studies, M. Soroush and R. Braatz (eds.), 1st Edition, Elsevier, ISBN: 0323996728 (2023)

• Soroush, M., and R. Braatz (eds.), Artificial Intelligence in Manufacturing: Concepts and Methods , Elsevier, ISBN: 978-0323991346 (2023).
• Soroush, M., and R. Braatz (eds.), Artificial Intelligence in Manufacturing: Applications and Case Studies , Elsevier, ISBN: 978-0323991353 (2023).