Bharathi Ganesan Retnam
VIDWAN ID: 593859

Dr Bharathi Ganesan Retnam

Male Doctor of Philosophy
Assistant Professor (Grade-II) | Department of Chemical Engineering
National Institute of Technology, Calicut
Kerala
Expertise: Chemical Engineering
3 Publications
0 Projects
24 Scopus Citations
21 CrossRef
5 Years Total Experience
Publications
3 Total
Articles
3
Activity

No publication activity to display.

Scopus Scopus
24 Citations
2 h-index
CrossRef CrossRef
21 Citations
2 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Personal Details

Doctor of Philosophy
2020
Indian Maritime University
Master of Technology
2014
Indian Institute of Technology, Roorkee
Bachelor of Technology
2011
University of Allahabad, Allahabad
Assistant Professor (Grade-II)
Jul 2023 – Present
National Institute of Technology, Calicut | Department of Chemical Engineering
Assistant Professor - Senior Scale
Aug 2021 – May 2023
KPR Institute of Engineering and Technology
Engineering and Technology
Chemical Engineering

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

Identifying steep pareto fronts in multicomponent adsorption using a novel elliptical method

Journal Article
Environmental Science and Pollution Research. Year: 2022. Volume: 29 , Issue: 53 , Pages: 80336-80352 .
Authors: Hariharan Balamirtham; Bharathi Ganesan Retnam; Kannan Aravamudan

Maximizing Adsorption Involving Three Solutes on Enhanced Adsorbents Using the Mixture-Process Variable Design

Open Access
Journal Article
ACS Omega. Year: 2022. Volume: 7 , Issue: 23 , Pages: 19561-19578 .
Authors: Bharathi Ganesan Retnam; Hariharan Balamirtham; Kannan Aravamudan

Swift, versatile and a rigorous kinetic model based artificial neural network surrogate for single and multicomponent batch adsorption processes

Journal Article
Journal of Molecular Liquids. Year: 2020. Volume: 297 .
Authors: Akhil Gopinath; Bharathi Ganesan Retnam; Arun Muthukkumaran; Kannan Aravamudan