Rojina Panta

PhD Student, Department of Computer Science and Engineering, University of South Carolina

Office: AI Isntitute, Science and Technology Building, 1112 Greene St.
Email: rpanta@email.sc.edu   Google Scholar | ResearchGate

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About Me

I am currently working as Graduate Research Assistant at AI Institiute , University of South Carolina under supervision of Dr. Forest Agostinelli. My research interest includes Explainable AI, Deep Reinforcement Learning, Logic Programming and Machine Learning. I have worked as Machine Learning Developer and Research and Development Engineer in Nepal before joining University of South Carolina. I completed my undergraduate degree in Computer Engineering from Tribhuvan University, Nepal. To know more you can look into my resume and follow my research works on github.

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Honors and Awards

• Ranked fourth in Computer Engineering, IOE, Tribhuvan University
• IOE Semester Scholarship, Provided by Tribhuvan University and Himalaya College of Engineering for academic excellence
• Full Scholarship for studying Intermediate Level, Provided by Grammar Public Higher Secondary School, Nepal

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Publications

Journals

• Synthesis of CdZnTeSe single crystals for room temperature radiation detector fabrication: mitigation of hole trapping effects using a convolutional neural network.
  Sandeep K. Chaudhuri, Joshua W. Kleppinger, OmerFaruk Karadavut, Ritwik Nag,Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James & Krishna C. Mandal
  JMS:ME’22 Journal of Materials Science: Materials in Electronics, Vol. 33, No. 3, January 2022. [Paper]
• A CdZnTeSe gamma spectrometer trained by deep convolutional neural network for radioisotope identification.
  Sandeep K. Chaudhuri, Joshua W. Kleppinger, Ritwik Nag, Kaushik Roy,Rojina Panta, Forest Agostinelli, Amit Sheth, Utpal N. Roy, Ralph B. James & Krishna C. Mandal
  SPIE’21 SPIE: The International Society for optics and photonics, Volume 11838, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIII, pages 1183806- (2021). [Paper]

Workshops

• Explainable Pathfinding for Inscrutable Planners with Inductive Logic Programming.
  Agostinelli, Forest, Rojina Panta, Vedant Khandelwal, Biplav Srivastava, Bharath Chandra Muppasani, Kausik Lakkaraju, and Dezhi Wu.
  XAIP/ICAPS’22 Workshop on Explainable AI Planning, Virtual, June 2022. [Paper]
• Specifying Goals to Deep Neural Networks with Answer Set Programming.
  Agostinelli, Forest, Rojina Panta, Vedant Khandelwal.
  HAXP/ICAPS’23 Workshop on Human-Aware and Explainable Planning , HAXP 2023. [Paper]

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