I am currently serving as an Assistant Professor in the Department of Computer Science & Engineering at SRM University AP, Andhra Pradesh, India. I have been awarded the Doctor of Philosophy ( in Computer Science and Engineering by the National Institute of Technology Meghalaya (NIT Meghalaya), India.
My academic journey has been shaped by a deep commitment to research, innovation, and teaching excellence, strengthened by over a decade of teaching experience at various reputed engineering institutions.
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, K. Hemant Kumar Reddy, Diptendu Sinha Roy, et al. Peerj Computer Science, 2025 Multi-disease conditions strain the body’s defenses, complicating recovery and increasing mortality risk. Therefore, effective concurrent prevention of multiple diseases is essential for mitigating complications and improving overall well-being. Explainable artificial intelligence (XAI) with an advanced multimodal large language model (LLM) can create an interactive system enabling the general public to engage in natural language without any specialized knowledge prerequisites. Counterfactual explanation, an XAI method, offers valuable insights by suggesting adjustments to patient features to minimize disease risks. However, addressing multiple diseases simultaneously poses challenging barriers. This article proposes an interactive multi-disease prevention system that uses Google Gemini Pro, a multimodal LLM, and a non-dominated sorting genetic algorithm, namely NSGA-II, to overcome such problems. This system recommends changes in feature values to concurrently minimize the risk of diseases such as heart attacks and diabetes. The system facilitates personalized feature value selection, significantly reducing disease attack probabilities to as low as possible. Such an approach holds the potential to simultaneously address the unresolved issue of preventing and managing multiple diseases for the general public.
Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, Diptendu Sinha Roy, Manob Jyoti Saikia Bioengineering, 2024 Diabetes, a significant global health crisis, is primarily driven in India by unhealthy diets and sedentary lifestyles, with rapid urbanization amplifying these effects through convenience-oriented living and limited physical activity opportunities, underscoring the need for advanced preventative strategies and technology for effective management. This study integrates Shapley Additive explanations (SHAPs) into ensemble machine learning models to improve the accuracy and efficiency of diabetes predictions. By identifying the most influential features using SHAP, this study examined their role in maintaining high predictive performance while minimizing computational demands. The impact of feature selection on model accuracy was assessed across ten models using three feature sets: all features, the top three influential features, and all except these top three. Models focusing on the top three features achieved superior performance, with the ensemble model attaining a better performance in most of the metrics, outperforming comparable approaches. Notably, excluding these features led to a significant decline in performance, reinforcing their critical influence. These findings validate the effectiveness of targeted feature selection for efficient and robust clinical applications.
Bridging Local Interpretability: Analyzing SHAP Importance and Counterfactual Sensitivity for Model Transparency RSS Paramkusam, PK Mohanty 2026 4th International Conference on Artificial Intelligence and Machine … , 2026 2026
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM PK Mohanty, SAJ Francis, RK Barik, KHK Reddy, DS Roy, MJ Saikia PeerJ Computer Science 11, e2839 , 2025 2025 Citations: 6
Leveraging shapley additive explanations for feature selection in ensemble models for diabetes prediction PK Mohanty, SAJ Francis, RK Barik, DS Roy, MJ Saikia Bioengineering 11 (12), 1215 , 2024 2024 Citations: 35
Leveraging generative and explainable AI for electric vehicle energy toward sustainable, consumer-centric transportation PK Mohanty, KHK Reddy, SK Panigrahy, DS Roy IEEE Access 12, 143721-143732 , 2024 2024 Citations: 23
Congestion Mitigation T Dkhar, PK Mohanty, S Moulik, DS Roy Digital Communication and Soft Computing Approaches Towards Sustainable … , 2024 2024
Interpreting Energy Utilisation with Shapley Additive Explanations by Defining a Synthetic Data Generator for Plausible Charging Sessions of Electric Vehicles PK Mohanty, G Panda, M Basu, DS Roy 2023 5th International Conference on Energy, Power and Environment: Towards … , 2023 2023 Citations: 1
Analyzing the factors influencing energy consumption at electric vehicle charging stations with Shapley additive explanations PK Mohanty, DS Roy 2023 International Conference on Microwave, Optical, and Communication … , 2023 2023 Citations: 6
Analysing Key Feature Spectrum for Residential Energy Utilisation P Das, D Kumar, PK Mohanty, DS Roy International Symposium on Sustainable Energy and Technological Advancements … , 2023 2023
Scenario-Based Visualization for Traffic Congestion Mitigation T Dkhar, PK Mohanty, S Moulik, DS Roy International Symposium on Sustainable Energy and Technological Advancements … , 2023 2023
Interpreting Energy Utilisation With Shapley Additive Explanations by Defining a Synthetic Data Generator for Plausible Charging Sessions of Electric Vehicles P Kumar Mohanty, G Panda, M Basu, D Sinha Roy Technological University Dublin , 2023 2023
Explainable AI for predicting daily household energy usages PK Mohanty, DS Roy, KHK Reddy 2022 International Conference on Artificial Intelligence and Data … , 2022 2022 Citations: 7
Predicting daily household energy usages by using Model Agnostic Language for Exploration and Explanation PK Mohanty, P Das, DS Roy 2022 OITS International Conference on Information Technology (OCIT), 543-547 , 2022 2022 Citations: 6
Dynamic resource allocation in vehicular cloud computing systems using game theoretic based algorithm P Mohanty, L Kumar, M Malakar, SK Vishwakarma, M Reza 2018 fifth international conference on parallel, distributed and grid … , 2018 2018 Citations: 18
Implementation of cubic spline interpolation on parallel skeleton using pipeline model on CPU-GPU cluster PK Mohanty, M Reza, P Kumar, P Kumar 2016 IEEE 6th International Conference on Advanced Computing (IACC), 747-751 , 2016 2016 Citations: 15
CUDA-enabled Hadoop cluster for sparse matrix vector multiplication M Reza, A Sinha, R Nag, P Mohanty 2015 IEEE 2nd International Conference on Recent Trends in Information … , 2015 2015 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Leveraging shapley additive explanations for feature selection in ensemble models for diabetes prediction PK Mohanty, SAJ Francis, RK Barik, DS Roy, MJ Saikia Bioengineering 11 (12), 1215 , 2024 2024 Citations: 35
Leveraging generative and explainable AI for electric vehicle energy toward sustainable, consumer-centric transportation PK Mohanty, KHK Reddy, SK Panigrahy, DS Roy IEEE Access 12, 143721-143732 , 2024 2024 Citations: 23
Dynamic resource allocation in vehicular cloud computing systems using game theoretic based algorithm P Mohanty, L Kumar, M Malakar, SK Vishwakarma, M Reza 2018 fifth international conference on parallel, distributed and grid … , 2018 2018 Citations: 18
Implementation of cubic spline interpolation on parallel skeleton using pipeline model on CPU-GPU cluster PK Mohanty, M Reza, P Kumar, P Kumar 2016 IEEE 6th International Conference on Advanced Computing (IACC), 747-751 , 2016 2016 Citations: 15
CUDA-enabled Hadoop cluster for sparse matrix vector multiplication M Reza, A Sinha, R Nag, P Mohanty 2015 IEEE 2nd International Conference on Recent Trends in Information … , 2015 2015 Citations: 8
Explainable AI for predicting daily household energy usages PK Mohanty, DS Roy, KHK Reddy 2022 International Conference on Artificial Intelligence and Data … , 2022 2022 Citations: 7
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM PK Mohanty, SAJ Francis, RK Barik, KHK Reddy, DS Roy, MJ Saikia PeerJ Computer Science 11, e2839 , 2025 2025 Citations: 6
Analyzing the factors influencing energy consumption at electric vehicle charging stations with Shapley additive explanations PK Mohanty, DS Roy 2023 International Conference on Microwave, Optical, and Communication … , 2023 2023 Citations: 6
Predicting daily household energy usages by using Model Agnostic Language for Exploration and Explanation PK Mohanty, P Das, DS Roy 2022 OITS International Conference on Information Technology (OCIT), 543-547 , 2022 2022 Citations: 6
Interpreting Energy Utilisation with Shapley Additive Explanations by Defining a Synthetic Data Generator for Plausible Charging Sessions of Electric Vehicles PK Mohanty, G Panda, M Basu, DS Roy 2023 5th International Conference on Energy, Power and Environment: Towards … , 2023 2023 Citations: 1
Bridging Local Interpretability: Analyzing SHAP Importance and Counterfactual Sensitivity for Model Transparency RSS Paramkusam, PK Mohanty 2026 4th International Conference on Artificial Intelligence and Machine … , 2026 2026
Congestion Mitigation T Dkhar, PK Mohanty, S Moulik, DS Roy Digital Communication and Soft Computing Approaches Towards Sustainable … , 2024 2024
Analysing Key Feature Spectrum for Residential Energy Utilisation P Das, D Kumar, PK Mohanty, DS Roy International Symposium on Sustainable Energy and Technological Advancements … , 2023 2023
Scenario-Based Visualization for Traffic Congestion Mitigation T Dkhar, PK Mohanty, S Moulik, DS Roy International Symposium on Sustainable Energy and Technological Advancements … , 2023 2023
Interpreting Energy Utilisation With Shapley Additive Explanations by Defining a Synthetic Data Generator for Plausible Charging Sessions of Electric Vehicles P Kumar Mohanty, G Panda, M Basu, D Sinha Roy Technological University Dublin , 2023 2023
