Himangshu Prabal Goswami

Assistant Professor

MSc (Delhi) PhD (IISc) Post Doctorate (Max Planck Institute, PKS)

Quantum Statistical Mechanics, Multidimensional Spectroscopy, Machine Learning

Department of Chemistry
Gauhati University, Guwahati, 781014
Email: hpg[at]gauhati[dot]ac[dot]in

Developing theoretical formalism to understand the transport, optical and spectroscopic properties of open quantum systems using many body quantum theory and statistical principles with an analytical as well as numerical point of view. Exploring and understanding nonequilibrium thermodynamics at the quantum level for atomic and molecular systems. Use of artificial intelligence/machine learning algorithms in quantronics, spectroscopy and experimental data. The following are the current systems of interests:

  • Single molecule and mesoscopic junctions
  • Quantum Heat Engines
  • Rydberg Aggregates
  • Small Solvated Molecular Systems
  • "Optimization of quantum heat engine prototypes for experimental prognosis using artificial neural networks",  SERB-DST Start-up Research Grant, Dec 2021 - Dec 2023
  • "Nonequilibrium Quantum Thermodynamics of Driven Single Molecule Junctions",  BSR-UGC Startup Grant, Dec 2021- Dec 2023

 

  • "Solvent Induced 1H NMR chemical shifts of annulenes", S. Goyari, M.J. Sarmah, H.P. Goswami and N. Nath (submitted, 2021)

  • "Two Dimensional Spectroscopy of Rydberg gases", K. Mukherjee, H.P. Goswami, S. Whitlock, S. Wuester and A. Eisfeld, New. J. Phys, 22, 073040 (2020)

  • "Nonequilibrium fluctuations of a driven quantum heat engine via machine learning", S. K. Giri and H.P. Goswami, Phys. Rev. E, 99, 022104 (2019)

  • “Geometric phaselike effects in a quantum heat engine”, S. K. Giri and H.P. Goswami, Phys. Rev. E, 96, 052129 (2017)

  • “Electroluminescence in molecular junctions : a diagrammatic approach”, H.P. Goswami, W. Hua, Y. Zhang, S. Mukamel and U. Harbola, J. Chem. Theory Comput., 11, 4304 (2015),

For a full list, please visit:

# Google Scholar: https://scholar.google.co.in/citations?user=jYQaWvwAAAAJ&hl=en&oi=ao

# Researchgate: https://www.researchgate.net/profile/Himangshu_Goswami

 

  • Quantum and Computational Chemistry (CH403 Spl, M.Sc Semester IV)

  • Quantum Chemistry (CH104, M.Sc Semester I)
  • Computational Methods (Ph.D Semester I)
  • Spectroscopy 1 and 2 (CH105: M.Sc Semester I, CH204: M.Sc Semester II)
  • Physical Chemistry (CH103, M.Sc Semester I, Sampling and Data Analysis)
  • Modern Methods of Analysis (CH302, M.Sc semester III)
  • Laboratory Course (CH305, Physical Chemistry, Semester III)
  • Solid State and Materials Chemistry (CH302, a part of CH101)
  • Electroanalytical Methods (Paper 6.1e, PGDAC Semester II)
  • Modern Analytical Methods (PGDAC, Semester I)

At Tezpur University

  • Quantum Chemistry (Integrated B.Sc-M.Sc, Semester V)

  • Physical Chemistry of Surfaces and Condensed Systems (M.Sc, Semester III)

  • Numerical Methods and Computational Chemistry (Int. M.Sc, Semester X)

  • Electrochemistry and Chemical Dynamics (M.Sc, Semester II)

  • Basic Computer Applications (Int. B.Sc-B.Ed, Semester I)

  • General Chemistry (B.Tech, Semester I)

  • Chemistry Laboratory (Int. M.Sc and B.Tech, Semester I)

  • Research Methodology (Ph.D, Semester I)

 

Academics:

  • Worked as Assistant Professor (Temporary), Department of Chemical Sciences, Tezpur University, Aug 2018 - Dec 2019.

  • Appointed as Guest Scientist, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany, Mar 2017-Aug 2018.

  • Guest Scientist Fellowship from Max Planck Institute, 2017
  • DST INSPIRE Faculty Award, 2017

  • Awarded Research Associate Fellowship, Indian Institute of Science, Aug 2016-Mar 2021

  • Awarded Senior Research Fellowship,  2013

  • Awarded Junior Research Fellowship, 2011

  • Qualified Graduate Aptitude Test in Engg.  2011

Administration:

  • Member, 2021 NAAC Task Force Committee, IQAC, GU.
  • Member, 2020 DQAC, GU

Ph. D Candidates:

  • Manash Jyoti Sarmah, M.Sc 2020 (Jointly with Prof. A.K. Talukdar)

 

M.Sc Dissertations:

 

8. Bristi Maina Deka Application of Machine Learning in catalytic Assymetric Hydrogenation of Alkene and Imine, 2021. (Currently: Ph.D Scholar, IIT Guwahati, Assam)

 

7. Deepsikha Kalita, Efficiency prediction of Organic Photovoltaic Cells using Machine learning, 2021.

 

6. Javed Akhtar, Engineering band gaps using machine Learning, 2021

 

5. Pubali Neog, An alternative approach for crystal symmetry determination: EBSD coupled with Machine Learning, 2021

 

4. Samim Ahmed, Deep Learning approach to denoise Photo Electron Spectra obtained from Fluctuating Pulses, 2020 (Current Status: Teacher, Junior College, Barpeta, Assam)

 

3. Kaushik Das, Artificial Neural Networks in Conical Intersection Dynamics, 2020.

 

2. Nishanta Barman, Machine Learning Approaches in Near Field Spectroscopy of Molecular Aggregates,  2020 (Current Status: Ph. D scholar, IIT Guwahati, Assam).

 

1. Raju Chouhan, Apodization Functions in Spontaneous Light Emission Spectroscopy, 2019, Tezpur University (Current Status: Ph.D Scholar, Tezpur University, Assam)

Facilities & Resources

Facilities
Resources
Some Important Links (Outside GU)