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Faculty Mr Prasant Kumar Mohanty

Mr Prasant Kumar Mohanty

Assistant Professor

Department of Computer Science and Engineering

Contact Details

prasant.k@srmap.edu.in

Office Location

Homi J Bhabha Block, Level 4, Cubicle No: 14
School of Engineering and Sciences Computer Science and Engineering Faculty Mr Prasant Kumar Mohanty

Faculty Information

Education

2024
Doctor of Philosophy (PhD) in Computer Science and Engineering (Thesis submitted)
National Institute of Technology Meghalaya
2010
Master of Technology (M. Tech.) in Computer Science and Engineering
GIET University, Gnupur, Odisha
2008
Bachelor of Technology (B.Tech) in Information Technology
NIST University, Berhampur, Odisha

Experience

  • July 2021 to Dec 2024 - Full-time Research Scholar, National Institute of Technology Meghalaya
  • May 2013 to July 2021 - Assistant Professor, NIST University, Berhampur, Odisha (Formerly National Institute of Science and Technology, Brahmapur, Odisha)
  • Aug 2012 to May 2013 - Assistant Professor, C V Raman Global University, Bhubaneswer, Odisha (Formerly C V Raman College of Engineering, Bhubaneswer, Odisha)
  • May 2010 to July 2012 - Lecturer, Vignan Institute of Technology and Management, Brahmapur, Odisha

Research Interest

  • My research interests lie within the broad area of trustworthy machine learning. More specifically, I focus on improving the interpretability, fairness, privacy, and explainable capabilities of different kinds of ML models, including generative models and other pre-trained models. My research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
  • How can we build interpretable and accurate models to personalise health recommendations in human decision-making?
  • How do we train and evaluate models when faced with missing counterfactuals?
  • These questions have far-reaching implications in domains involving high-stakes decisions such as health care, policy, law, and business.

Awards

  • 2021 - Advanced Technology Certified Faculty (ATCF) - WIPRO Limited, Bangaluru on successfully completing Talentnext Project on Artificial Intelligence and Machine Learning
  • 2018 - Grade A+ in LaTeX101x - IITBombayX, an online learning initiative of Indian Institute of Technology Bombay
  • 2018 - WIPRO Certified Faculty (WCF) - WIPRO Limited, Bangaluru on passing the TalentNext certification Assessment
  • 2011 – GATE (CS) qualified – GATE
  • 2008 - Oracle Certified Associate (OCA) - Oracle

Memberships

  • IEEE Graduate Student Member: 95646496
  • Computer Society of India (CSI) Life Member: l1510481

Publications

Patents

Projects

Scholars

Interests

  • Explainable AI for various applications

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Education
2008
Bachelor of Technology (B.Tech) in Information Technology
NIST University, Berhampur, Odisha
2010
Master of Technology (M. Tech.) in Computer Science and Engineering
GIET University, Gnupur, Odisha
2024
Doctor of Philosophy (PhD) in Computer Science and Engineering (Thesis submitted)
National Institute of Technology Meghalaya
Experience
  • July 2021 to Dec 2024 - Full-time Research Scholar, National Institute of Technology Meghalaya
  • May 2013 to July 2021 - Assistant Professor, NIST University, Berhampur, Odisha (Formerly National Institute of Science and Technology, Brahmapur, Odisha)
  • Aug 2012 to May 2013 - Assistant Professor, C V Raman Global University, Bhubaneswer, Odisha (Formerly C V Raman College of Engineering, Bhubaneswer, Odisha)
  • May 2010 to July 2012 - Lecturer, Vignan Institute of Technology and Management, Brahmapur, Odisha
Research Interests
  • My research interests lie within the broad area of trustworthy machine learning. More specifically, I focus on improving the interpretability, fairness, privacy, and explainable capabilities of different kinds of ML models, including generative models and other pre-trained models. My research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
  • How can we build interpretable and accurate models to personalise health recommendations in human decision-making?
  • How do we train and evaluate models when faced with missing counterfactuals?
  • These questions have far-reaching implications in domains involving high-stakes decisions such as health care, policy, law, and business.
Awards & Fellowships
  • 2021 - Advanced Technology Certified Faculty (ATCF) - WIPRO Limited, Bangaluru on successfully completing Talentnext Project on Artificial Intelligence and Machine Learning
  • 2018 - Grade A+ in LaTeX101x - IITBombayX, an online learning initiative of Indian Institute of Technology Bombay
  • 2018 - WIPRO Certified Faculty (WCF) - WIPRO Limited, Bangaluru on passing the TalentNext certification Assessment
  • 2011 – GATE (CS) qualified – GATE
  • 2008 - Oracle Certified Associate (OCA) - Oracle
Memberships
  • IEEE Graduate Student Member: 95646496
  • Computer Society of India (CSI) Life Member: l1510481
Publications
Contact Details

prasant.k@srmap.edu.in

Scholars
Interests

  • Explainable AI for various applications

Education
2008
Bachelor of Technology (B.Tech) in Information Technology
NIST University, Berhampur, Odisha
2010
Master of Technology (M. Tech.) in Computer Science and Engineering
GIET University, Gnupur, Odisha
2024
Doctor of Philosophy (PhD) in Computer Science and Engineering (Thesis submitted)
National Institute of Technology Meghalaya
Experience
  • July 2021 to Dec 2024 - Full-time Research Scholar, National Institute of Technology Meghalaya
  • May 2013 to July 2021 - Assistant Professor, NIST University, Berhampur, Odisha (Formerly National Institute of Science and Technology, Brahmapur, Odisha)
  • Aug 2012 to May 2013 - Assistant Professor, C V Raman Global University, Bhubaneswer, Odisha (Formerly C V Raman College of Engineering, Bhubaneswer, Odisha)
  • May 2010 to July 2012 - Lecturer, Vignan Institute of Technology and Management, Brahmapur, Odisha
Research Interests
  • My research interests lie within the broad area of trustworthy machine learning. More specifically, I focus on improving the interpretability, fairness, privacy, and explainable capabilities of different kinds of ML models, including generative models and other pre-trained models. My research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
  • How can we build interpretable and accurate models to personalise health recommendations in human decision-making?
  • How do we train and evaluate models when faced with missing counterfactuals?
  • These questions have far-reaching implications in domains involving high-stakes decisions such as health care, policy, law, and business.
Awards & Fellowships
  • 2021 - Advanced Technology Certified Faculty (ATCF) - WIPRO Limited, Bangaluru on successfully completing Talentnext Project on Artificial Intelligence and Machine Learning
  • 2018 - Grade A+ in LaTeX101x - IITBombayX, an online learning initiative of Indian Institute of Technology Bombay
  • 2018 - WIPRO Certified Faculty (WCF) - WIPRO Limited, Bangaluru on passing the TalentNext certification Assessment
  • 2011 – GATE (CS) qualified – GATE
  • 2008 - Oracle Certified Associate (OCA) - Oracle
Memberships
  • IEEE Graduate Student Member: 95646496
  • Computer Society of India (CSI) Life Member: l1510481
Publications
Contact Details

prasant.k@srmap.edu.in

Scholars