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Dr. Beena Rai

Present Designation:

Chief Scientist & Head, Physical Sciences , Tata Consultancy Services

Areas of Interest:

·        Nano-bio Technology: Drug delivery through polymers, adsorption of proteins, development of biosensors, synthesis and processing of nanoparticles, nanofluids for heat transfer applications

·        Digital Twin of Human Organs: Multiscale modelling-based development of Skin Digital Twin and tongue for in-silico design and testing of products.

·        Functional Coatings: Low friction coatings for medical devices, chemically resistant coatings for fabrics, scratch resistance coatings

·        Materials Informatics: AI/ML based design, discovery, development & deployment of functional materials and chemicals

·        Interfacial Chemistry and Computational Materials Engineering: Design of surfactants for minerals & metals industry, oil & gas industry, agrochemicals, paints; modelling of polymers and proteins; modelling of surfaces & interfaces; prediction of surface tension; wettability of surfaces; prediction of contact angle; design of drug and cosmetics formulations 

·        Synthetic Organic Chemistry: Application in pharmaceuticals, personal care, agrochemicals, and surfactants/additives/polymers for industrial applications

·        Waste Recycling/Reclamation: Eco-cements from mineral and metallurgical wastes, elemental sulphur from chemical sludge

Specialisation:

Computational Material Science & Engineering, especially leveraging physics-based models and data analytics tools and techniques in the design, development & deployment of materials and chemicals.

Major Professional Contributions:

·       Bio-Digital Twins: Multi-scale modelling platform, mimicking skin physiological properties, provides an alternative to animal testing in product development cycle in pharma and personal care industries

·       Food Digital Twins: AI models acting as soft sensors for tracking food quality across the supply chain for minimizing wastage.

·       Materials Informatics: Leveraging Physics-based Models & Big Data for Discovery Design, Development and Deployment of Materials: Perovskites for solar cells, battery electrolytes, novel catalysts for harnessing green energy, high entropy alloys for structural applications and polymer for drug delivery applications.

·       AI-Chemist: A decision support platform for development of formulated products – coatings, pharmaceuticals, and personal care products.  

·       Design & Development of Reagents for Mineral Processing: Alumina reduction in iron ore slimes, recovery for rare earth metals from e-waste, beneficiation of dolomite rich phosphate ore & mixed copper sulphide oxide ores, recovery of gold from pyrite ores.

·       Corrosion Inhibitors: An integrated framework for design, selection and testing of corrosion inhibitors, especially for oil and gas industry.

·       Engineered Products containing Nanoparticles: biodegradable/bio-compatible nanoparticles for health and personal care applications, nanocomposites for functional coatings, nano-dispersions as IC engine coolants.

Consultancy Areas:

Computational Material Sciences & Engineering 

Nanotechnology

Waste Recycling

Digital Twins 

Sector Associated With:

Chemicals 

Coatings

Mineral Processing

Metals 

Polymers

Food

Sectors Interested to Offer Service:

Materials

Metals

Minerals 

Food

Coatings 

·       Bio-Digital Twins: Multi-scale modelling platform, mimicking skin physiological properties, provides an alternative to animal testing in product development cycle in pharma and personal care industries

·       Food Digital Twins: AI models acting as soft sensors for tracking food quality across the supply chain for minimizing wastage.

·       Materials Informatics: Leveraging Physics-based Models & Big Data for Discovery Design, Development and Deployment of Materials: Perovskites for solar cells, battery electrolytes, novel catalysts for harnessing green energy, high entropy alloys for structural applications and polymer for drug delivery applications.

·       AI-Chemist: A decision support platform for development of formulated products – coatings, pharmaceuticals, and personal care products.  

·       Design & Development of Reagents for Mineral Processing: Alumina reduction in iron ore slimes, recovery for rare earth metals from e-waste, beneficiation of dolomite rich phosphate ore & mixed copper sulphide oxide ores, recovery of gold from pyrite ores.

·       Corrosion Inhibitors: An integrated framework for design, selection and testing of corrosion inhibitors, especially for oil and gas industry.

·       Engineered Products containing Nanoparticles: biodegradable/bio-compatible nanoparticles for health and personal care applications, nanocomposites for functional coatings, nano-dispersions as IC engine coolants.

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Professional Experience

Impactful engineering contributions at the interface of IT and domain leading to technology demonstration and commercialization: Digital Twin of Human Skin, Food Digital Twins, Materials Informatics, AI-Chemist, Design & Development of Reagents for Mineral Processing and Corrosion Inhibitors and Engineered Products containing Nanoparticles.

Keywords

Molecular modelling, Computational material science & engineering, Digital Twins, Materials Informatics, Data Analytics, Artificial Intelligence

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Education

Ph. D, 1995, University of Pune National Chemical Laboratory, Pune,

M. Sc. & B. Sc. , 1985 & 1983, University of Gorakhpur ,

Post Doc, 2007, Centre National de la Recherché Scientifique (CNRS)/ Institut National Polytechnique de Lorraine (INPL), France,

Management , 2012, Chevening Research, Science, and Innovation Leadership Fellowship (CRISP), Saïd Business School. University of Oxford, UK,

Leadership, 2022, • Leadership Program Infinity, London Business School, UK,

Awards and Recognitions

·        Distinguished Scientist, Tata Consultancy Services (TCS), Mumbai (2017).

·        Distinguished Alumni, National Chemical Laboratory, PUNE (2017).

·        Vasvik Research Award for Women Scientist, in Materials and Metallurgical Sciences and Technology (2014).

·        Materials Research Society of India (MRSI) Medal Award (2014).

·        Praj Maha Intrapreneur Award, (2013).

INAE Section Affiliated

X: Interdisciplinary and Special Engineering Fields and Leadership in Academia, R&D and Industry

Year of Election to Fellowship

2022

Year of Birth

1964

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