Prabhat Kumar
Also known as: P.K.
Lappeenranta-Lahti University of Technology, LUT School of Engineering Science
About
Prabhat Kumar: received his Ph.D. degree in Information Technology from the National Institute of Technology Raipur, Raipur, India, in 2022, under the prestigious Ministry of Human Resource Development (MHRD) fellowship funded by the Government of India.
He is currently working as an Assistant Professor (Tenure Track – Level 2) in the Department of Software Engineering at LUT University, Lappeenranta, Finland. He also serves as the Head of the Responsible Information Systems Development Master’s Programme and holds the title of Docent in Artificial Intelligence for Cybersecurity. Prior to this, he was a Postdoctoral Researcher at LUT University from 2022 to 2025.
His research adopts a multidisciplinary perspective, integrating concepts from the Internet of Things (IoT), network and software security, data analytics, and natural language processing (NLP) to address emerging cybersecurity challenges.
Employment
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Lappeenranta-Lahti University of Technology Assistant Professor of AI for Software Engineering (Tenure Track)2026 - Present
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LUT School of Engineering Science Post-doctoral Fellow2022 - 2025
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (67)
- A decision support system for adaptive fund allocation in blockchain-based crowdfunding Save
- FedJoint: A software architecture for adaptive orchestration in federated learning systems Save
- Selective Federated IDS Framework with Adaptation for Large-scale Segmented Industrial Networks Save
- Responsible AI: Ethics in Cognitive and Semantic Computing for Enhanced User Experience Save
- A responsible AI-driven framework for robust and transparent software vulnerability detection Save
- A lightweight IoT–edge–cloud framework for Healthcare Internet of Things Save
- A Hybrid Deep Learning Approach for Epileptic Seizure Detection in EEG signals Save
- Dynamic QoS Mapping in Integrated 5G-TSN Networks With Programmable Resource Slicing Save
- Federated and Quantized-Based Intrusion Detection for Embedded On-Board Automotive Networks Save
- Temporal Irregularity-Aware Attention Mechanism for Industry 5.0 Intrusion Detection Save