Education and Qualifications:

2005-2011  : PhD, IUCAA-Gauhati University 
2005           : NET(UGC)
2004           : GATE (MHRD)
2004           : JEST
2003           : M.Sc (G.U)

Teaching Experience:

• 2010-2011: Asst. Prof. (On substitute) Arya Vidyapeeth College, Guwahati
• 2011- onwards: Asst. Prof., Dept. of Physical Science, G.U which got renamed as Dept. of Applied Sciences in the year 2014

Peer Reviewer:

• Astrophysics and Space Science (Springer Publication)
• Indian Journal of Physics (Springer India Publication)
• New Astronomy (Elsevier)
• Engineering Fracture Mechanics (Elsevier)

Awards:

• PANE Young Researchers Award 2021 
• IUCAA (Inter University Center for Astronomy and Astrophysics, Pune) Visiting Associate, 2014-2017 

Research Interest:

Invited Talks/Lecture Series:

• Astronomy and Astrophysics Summer School, 2014 (Cotton College State University)
• Workshop on Recent Trends in Astronomy and Astrophysics, 2009 (Tezpur University (Tezpur))
• Introductory Workshop on Astronomy and Astrophysics, 2010, (North-East Center for Research and Development (NECRD), IGNOU Guwahati.)

Seminar/Conference Presentation:

• Looking for spectral evolution of a borderline narrow-line Seyfert 1 galaxy using XMM-Newton observation, XIII Biennial National Conference of Physics Academy of North  East  (PANE 2022), organised by Dept. of Physics, Manipur University.

• "Detection of Soft Excess emission in the X-ray spectrum of NLS1 as observed by the XMM Newton“, National Seminar on Recent Trends in Physics Research  21-22 February 2022, Department of Physics, Manipur University as a part of the UGC sponsored Special Assistance Program of the Department.

• "Application of Artificial Neural Network to determine the thickness profile of thin film samples", XII Biennial National Conference of Physics Academy of North  East  (PANE 2021), organised by Dept. of Physics, Tripura University.

• "Investigation on the Classification Accuracy of Harmonic Signals in Artificial Neural Netowrk (ANN) using Training Sets of Randomised Amplitude and Phase", Second International Conference on Advances in Electrical, Electronic and System Engineering, ICAEESE2019 ; organized by Gauhati University in collaboration with the Universiti Kebangsaan Malaysia (UKM) and the Abdus Salam International Centre for Theoretical Physics, Trieste, Italy.

• "A numerical investigation on relative advantages and limitation of surface roughness measurement of mechanical parts using interferometric methods", Recent Advances in Applied Sciences (RAAS 2019), organised by Department of Applied Sciences, Gauhati University, in association with NIT Silchar.

Journal Publications:

• M K Adhikary, Archana Bora, "Material Informatics and Impact of Multicollinearity on Regression Model for Fatigue Strength of Steel" International Journal of Fracture (2024): 1-10, (Springer Nature), Journal Impact Factor: 2.7

• Bora, Archana. "Investigation on the Classification Accuracy of Harmonic Signal Detection by Artificial Neural Network". Indian Journal of Pure & Applied Physics (IJPAP) 2022, CSIR-NIScPR, Journal Impact Factor: 0.923

• Bora, Archana. "Application of artificial neural network to determine the thickness profile of thin film." Materials Today : Proceedings (2022) , Elsevier

• Misra, Ranjeev, Archana Bora, and Gulab Dewangan. "Estimation of error on the cross-correlation, phase and time lag between evenly sampled light curves." Astronomy and computing 23 (2018) Journal Impact Factor: 2.010

• Bora, Archana, Ranjan Gupta, Harinder P. Singh, and K. Duorah. "Automated star-galaxy segregation using spectral and integrated band data for TAUVEX/ASTROSAT satellite data pipeline." New Astronomy 14, no. 8 (2009): 649-653. Journal Impact Factor: 1.784

• Bora, Archana, Ranjan Gupta, Harinder P. Singh, Jayant Murthy, Rekhesh Mohan, and K. Duorah. "A three-dimensional automated classification scheme for the TAUVEX data pipeline." Monthly Notices of the Royal Astronomical Society 384, no. 2 (2008): 827-833. Journal Impact Factor: 5.185

Courses:

• M.Tech
  • MST 3076  (Numerical tools and data analysis)
  • MST 2035 ( Electronics and Instrumentation)
  • MST 2015  (Numerical Analysis)
• B.Tech
  • AS112 (Introduction to Mechanics)
• MS 
  •  
• BS
• Pre-PhD Course work-
  • PH324 Numerical analysis and Computational physics ( 2013, 2014) 

Project Students :

• Bhayolina Barman (Odd semester 2020)
• Bhayolina Barman              (Even semester 2020)
• Tapan Talukdar                    (Odd semester 2021)
• Tapan Talukdar                    (Even semester 2022)
• Mrinal Kumar Adhikary      (Even semester 2022)

Hobbies:

Reading books

Bird watching

Plant identification ( local ), gardening