Loading...
SSN
SSN
SSN
SSN
SSN
SSN
About Us

Welcome to SSN

Sri Sivasubramaniya Nadar College of Engineering (SSN CE), an autonomous institution affiliated to Anna university, founded by Dr. Shiv Nadar, Chairman of HCL Technologies, is a philanthropic venture to give back to the society that nurtured him.

SSN CE has been highly ranked and very reputed educational institution in Tamilnadu, India, stands out as a premier center of higher learning with a mission of pursuing excellence in education and research.

The institution, with their diverse and dynamic community of students, offers a distinctive combination of some of the finest graduate, undergraduate and research programs, accomplished faculty, world-class facilities, and a residential campus set on a sprawling 250 acres. SSN CE is accredited by NAAC with A+ grade. Within a span of 22 years, SSN has grown into one of the top educational institutions in the country and became an autonomous institute in the year 2018. Some of the salient features of SSN are: Ranked 45th in Engineering Category and 82th among all educational institutions in India Rankings 2025 by NIRF, MHRD; The state-of-the-art infrastructure with over 1.8 million square feet of buildings; Spacious hostels, Sports facilities and faculty quarters within the campus.

Focusing Areas

The symposium covers modeling and simulation in the following areas:

Nucleation and kinetics

Machine Learning

Melt growth processes

Molecular dynamics

Heat and mass transfer

Numerical methods (FDM, FEM, FVM)

Density Functional Theory (DFT)

Substrate crystals

Vapor growth of epitaxial layers

Thin films by CVD

CFD in melt growth process

Band gap and defects engineering

Charge transport mechanism

Crystal based solar cell devices

Dopants, impurities, dislocations etc.,

Piezoelectric devices

Silicon based solar cells

Nano, meso, poly crystals

Optoelectronic devices

Industrial crystallization process

Abstracts Submission

The authors are requested to mail (mcgpdmlcg@gmail.com) their abstracts in word format for oral/poster presentations. The abstract is limited to one page including figures, tables and references. The title of the paper should be in Times New Roman with the font size of 14 and the rest of the text in 12 font with 1.5 line spacing. The selected abstracts will be allowed for ORAL presentation.

Download Abstract Template

Important Dates

Abstract submission

05.01.2025

Acceptance notification

07.01.2025

Registration deadline

15.01.2025

Full paper submission

10.04.2026

Awards

The best presentation awards will be given separately to Process Modeling as well as Machine learning.