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Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Researcher Karuna Anna at Iowa State University


The course on "Mass Transfer Operations: Secrets of Molecular Movement" is a comprehensive exploration of the fundamental principles and advanced applications governing the movement of molecules across various systems. Delving into the intricate mechanics of mass transfer, the course covers a spectrum of topics, starting with an introduction to the essential concepts, including diffusion and mass transfer coefficients. Moving through the intricacies of vapor-liquid equilibrium, binary systems, and different separation processes like distillation, absorption, and extraction, it progresses into more complex areas such as reactive systems, membrane processes, and multifaceted engineering designs. Furthermore, the course examines the practical implications in industries such as pharmaceuticals, environmental engineering, food, and chemical engineering, offering insights into cutting-edge advancements and case studies. By the end, learners gain a profound understanding of how molecular movement impacts various industries, enabling them to apply this knowledge to real-world scenarios.

At the end of the program, students will receive a certificate & performance letter by the eductor indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.

Mass Transfer Operations: Secrets of Molecular Movement, by Karuna Anna

  • I am a patient and persistent learner. By training, I am a Computational Chemist with expertise in protein/peptide modeling, peptide folding, drug-receptor modeling, antigen-antibody interaction modeling, allosteric site identification and protein engineering. Computational methodologies/analyses such as enhanced sampling molecular dynamics simulations, molecular docking and calculations of thermodynamical parameters (entropy and free energy), all atom and coarse-grained modeling and simulations are my proficiencies. I am familiar with bioinformatics and cheminformatics libraries and also have working knowledge of ML models to solve problems in biochemistry.

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