Baidurya Bhattacharya
Professor
of Civil Engineering
IIT Kharagpur, India 721302
Fellow, Indian National Academy of
Engineering
Fellow, American Society of Civil Engineers
Office:
Structural Reliability Research
Facility
Structures Lab 2nd Floor
Dept. of Civil Engineering
Indian Institute of
Technology Kharagpur
West Bengal 721302 India
Phone: +91
(3222) 28-3422
Fax: +91
(3222) 28-2254
Email:
baidurya@civil.iitkgp.ac.in
Profile: ResearchGate
/ Google Scholar
Areas of Research
Computational Materials Science
Molecular dynamics simulations and algorithms
Structure property relations - defects and their effects on mechanical behaviour
Elastic and fracture properties
Heat transport and dissipation
Probabilistic Mechanics
Continuum damage mechanics and fracture mechanics
Statistical modeling - extremes of time-varying load sequences
model uncertainties and uncertainty propagation
Structural reliability
probability based design and acceptance criteria
design code development
reliability assessment of structural systems
progressive collapse and robustness
efficient simulation techniques
Education
Doctor of Philosophy in
Civil Engineering, 1997
The Johns Hopkins University, Baltimore, MD
Dissertation: A Damage Mechanics-based Approach to
Structural Deterioration and Reliability
Advisor: Bruce R Ellingwood
Master of Science in Engineering, 1994
The Johns Hopkins University, Baltimore, MD
Bachelor of Technology (honours) in Civil Engineering, 1991
Indian Institute of Technology Kharagpur, India
Experience
At IIT Kharagpur:
Professor (Higher Administrative Grade), Aug
2018 - present
Professor, December 2011 – Aug 2018
Associate Professor,
Apr 2007 - Dec 2011
Assistant Professor, Feb
2006 - Apr 2007
Dept. of Civil Engineering
Chairman, October 2013 - Sep 2016
Civil Construction and
Maintenance
Associate Faculty, 2016 - 2020
Center for Theoretical Studies
Associate Dean, October 2016 - January 2018
Alumni Affairs and
International Relations
Dean, February 2018 – January
2021
International Relations
At Johns Hopkins University:
Visiting Faculty,
June 2012- May 2013
Post-Doctoral Fellow, Jan 1997 - Feb 1998
Graduate Assistant, Sep 1992 - Jan 1997
Meyerhoff Fellow, Sep 1991 - Aug 1992
Department of Civil Engineering
Johns Hopkins University
Baltimore, MD 21218, USA
At University of Delaware:
Adjunct Professor, 2010 - 2018
Assistant Professor, July 2001 - February 2006
Scientist, Sept 2000 - June 2001
Department of Civil and Environmental Engineering
University of Delaware
Newark, DE 19716, USA
At Stanford University:
Visiting Assistant Professor, Sept -
Dec 2005
Department of Civil and Environmental Engineering
Stanford University
Stanford, CA 94305, USA
At American Bureau of Shipping:
Engineer, March 1998 - March 2000
Advanced Analysis Department
American Bureau of Shipping, Houston, TX, USA
Publications
Journal Articles
On Computational Materials
Science
Conference Presentations/Papers/Abstracts
On Computational Materials
Science
Book chapters
Miscellaneous
Reports
Book Reviews
Funded Projects
Consultancy
Research
Teaching
At IIT Kharagpur
TS 61004 Nanomechanics
CE60103 Monte Carlo Simulations
CE20101 Introduction to Civil
Engineering
CE60108 Risk and Reliability
Analyses of Civil Infrastructure Systems
MT51032 Applied Reliability
Engineering
CE21005 Solid Mechanics
CE21004 Structural Analysis
CE13001 Engineering Drawing &
Graphics
At Stanford University
CEE 203 Probabilistic Models in Civil
Engineering
At University of Delaware
CIEG 211 Statics
CIEG 212 Solid Mechanics
CIEG 315 Probability and
Statistics for Engineers
CIEG 415/615 Probability-based
Design
CIEG 667-015 Mechanical
Behavior of Materials and Structures
CIEG 815 Reliability of
Engineering Systems
CIEG 865 Emerging
Methodologies for Civil and Environmental Engineering Analysis
Short courses
Study Aids
Vidoes
Notes
Handouts
Advisement
Doctoral
Aritri Roy, toward Ph.D. (co-advised)
Topic: Statistical mechanics
Wamique Mujibee, toward
Ph.D.
Topic: Structural
reliability
TG Mythri, toward Ph.D.
(co-advised)
Topic: Stochastic modelling
of cardiac arrhythmic events
Minangshu Baidya, toward
Ph.D.
Topic: progressive collapse
reliability of structures
Qian Chen, Ph.D. 2021 (co-advised)
Topic: Structural robustness of
long-span cable-supported bridges. Abstract.
M V D Prasad, Ph.D., 2016. Currently at JNCASR.
Thesis: Phonon scattering dynamics of sliding
motion in carbon nanotube oscillators. Abstract.
Puneet Patra, Ph.D., 2016. Currently at IIT Kharagpur.
Thesis: Identifying temperature and related
statistics of non-equilibrium steady states. Abstract.
Subhamoy Sen, Ph.D., 2016. Currently at IIT Mandi.
Thesis: Control theory application in
structural health monitoring. Abstract.
Ambarish Paul, Ph.D., 2015. (co-advised). Currently at
University of Glasgow, UK.
Thesis: Solution processed and micro-pattrened DNA functionalized carbon nanotube network as
chemical sensors. Abstract.
Suhas Vhanmane, Ph.D. 2011 Currently at the Indian Register
of Shipping, Mumbai.
Thesis: A Probabilistic Analysis of Ultimate
Strength of Ship Structures under Random Initial Imperfections and Corrosion
Loss. Abstract.
Qiang Lu, Ph.D., 2005.
Thesis: Influence of Random Defects on the
Mechanical Behavior of Carbon Nanotubes through Atomistic Simulation. Abstract.
Degang Li, Ph.D. 2004 (co-advised) Currently at Greenhorne & OMara, Laurel,
MD
Thesis: Bridge Application of Load & Resistance
Factor Rating using Site Specific Data. Abstract.
Masters students
Undergraduate
advisees
Invited Talks
Professional Service and Activities
Announcements
Applications are sought for PhD students in
the two following areas. Please email your resume!
Computational
Materials Science
Candidates must have a Bachelors/Masters degree in Civil/ Mechanical/ Aerospace/
Metallurgical Engineering or in Physics/ Materials Science. Excellent knowledge
in mechanics and Finite Element modeling, along with reasonable knowledge in
Materials Science and/or Composite Materials, is required. Excellent computer
programming skills is essential. Familiarity with materials testing methods and
a good publishing record will be given preference.
Probabilistic
Mechanics
Candidates
must have a Bachelors/Masters degree in Civil/
Mechanical/ Aerospace/ Engineering or in Mathematics/Statistics. Excellent
knowledge in Reliability, along with reasonable knowledge in Mechanics and/or
Structural Engineering, is required. Excellent computer programming skills is
essential. Familiarity with the nuclear power industry and a good publishing
record will be given preference.