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 2^nd 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:

Visiting Professor, 2022 - now

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

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Publications

Journal Articles

On Computational Materials Science

On Probabilistic Mechanics

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Conference Presentations/Papers/Abstracts

On Computational Materials Science

On Probabilistic Mechanics

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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

Video courses

Structural reliability (also on NPTEL archive)

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Study Aids

Notes

Handouts

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Advisement

Doctoral

Aritri Roy, toward Ph.D. (co-advised)

Topic: Statistical mechanics

TG Mythri, toward Ph.D. (co-advised)

Topic: Electromechanical modelling of cardiac arrhythmic events

Minangshu Baidya, toward Ph.D. (co-advised)

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 research 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.