Basudeb Dey

@jiscollege.ac.in

Assistant Professor-EE
JIS College of Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Fuel Technology, Energy
5

Scopus Publications

Scopus Publications

  • Transforming LLM Two-Stage Dialogue Summarization Techniques
    Vijay Kumar Joshi, Manish Motghare, Basudeb Dey, Nilesh Shelke, Nilesh Ashtankar, Syamprasad Guda
    2025 IEEE 3rd Global Conference on Wireless Computing and Networking Gcwcn 2025, 2025
    Dialogue summarization is essential for distilling key insights from conversations in domains like customer service, education, and healthcare. This paper introduces the Dual Refinement Paradigm, a two-stage framework that enhances large language model performance through scene-aware context extraction, iterative text revision, and multi-task learning. Evaluated on a benchmark dataset, our approach achieves a ROUGE-L score of 48.2 and a novel composite M score of 0.84, outperforming established baselines. Key contributions include a scalable low-resource adaptation strategy, a new evaluation metric blending content fidelity and coherence, and an open-source implementation to foster further research in conversational AI.
  • Markovian Transformers: Bridging Sequential Modeling and Attention Mechanisms
    Vijay Kumar Joshi, Smita Nirkhi, Aryan Karande, Manish Motghare, Kartik Singh, Basudeb Dey
    2025 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Application Icaiqsa 2025 Proceedings, 2025
    Transformers lack inductive bias for sequential structure, forcing them to learn locality from data. We introduce Markovian Transformers, which inject learned Markov-inspired transition biases as structured attention kernels. These biases—implemented as transition matrices that directly modulate attention logits—enable adaptive, token-wise control over memory span, blending local Markovian dynamics with global attention. We prove that Markovian Transformers can exactly represent order-k Markov dependencies with linear complexity, and establish memory bounds of O(kd). Unlike state-space models, our additive bias formulation preserves attention’s interpretability while imposing temporal structure. Experiments across speech (LibriSpeech), genomics (ENCODE), and finance show state-of-the-art performance, with +4.6% F1 improvement and 7.5× memory reduction at 4k context. Our work reframes attention as a structured mechanism that knows what to forget.
  • A Review on Techniques of Power Transmission Lines Congestion Management in Deregulated Electricity Market
    Partha Das, Rituparna Mitra, Basudeb Dey, Sudip Das, Biswamoy Pal, Milan Sasmal, Debodyuti Upadhaya, Gargi Roy, Aditya Pandey, Bikramjit Roy
    Journal of Mines Metals and Fuels, 2023
    The idea of market power has gained its significance after the electric power industry started a practice of transition and restructuring since early Nineteen ninety. In this competitive electricity market, the physical and operational the constraints of the network hold key intimidation to the market by the generation companies. The growth of deregulated power systems has an outcome in terms of overloading transmission networks or network congestion. Congestion has severe effects on power systems, which includes rigorous system damage. Congestion take place when transmission systems fail to deliver power based on the load demand. These problems can be managed by implementing congestion management methods, which has a significant role in current deregulated power systems. Congestion has created the risk to reliability and power system security through defiance of transmission ability limits of line. This paper reviews some of important techniques and meticulous used by various researcher for management of congestion of lines. The exertion of various publications is used to review the implication of each anticipated technique in relieving congestion and optimizing system operating costs.
  • Recent developments and future scopes of electrical vehicles in power market on COVID-19 pandemic situation
    Suparna Pal, Basudeb Dey, Bartik Chattopadhyay, Sanjay Samanta, Deb Sekhar Roy, Tirthankar Dutta Roy, Suparna Chakraborty
    Journal of Physics Conference Series, 2021
    The largest source of climate pollution in the world is transportation. To solve the climate crisis, we need to make the vehicles on our roads as clean as possible. We have only a decade left to change the way we use energy to avoid the worst impacts of climate change. Emissions from cars and trucks are not only bad for our planet; they’re bad for our health. Air pollutants from gasoline- and diesel-powered vehicles cause asthma, bronchitis, cancer, and premature death. The long-term health impacts of localized air pollution last a lifetime, with the effects borne out in asthma attacks, lung damage, and heart conditions. As the COVID-19 pandemic — a respiratory disease — continues to spread, a study by Harvard University found a striking association between long-term exposure to harmful fine particulate matter and COVID-19 mortality in the United States One of the primary causes of fine particulate matter pollution (PM2.5) is combustion from gasoline and diesel car engines. So in this paper we are mainly focused on development of Electrical Vehicles and what are problems to implementation in India. We have discussed different types of Government policies and future scope policies which have been taken by government. From this paper researchers will get clear idea of future of Non Pollutant Vehicles. So this paper is very important in Covid-19 pandemic situations because we will safe and secure from these types of pandemic disease only if our environment will be free from air pollution which creates by conventional vehicles.
  • Defense mechanisms for grid disturbance in India due to power swing in the interconnected grids
    Chirantan Debnath, Basudeb Dey
    Proceedings of 2014 1st International Conference on Non Conventional Energy Search for Clean and Safe Energy Iconce 2014, 2014
    Electricity is the driving force of the economy in the 21st century. It is clean, easy to transport and easy to use so much, so that it has replaced most of the other sources of energy and become the energy of choice. In such circumstances the non availability of electricity results not only in individual discomfort but also puts brakes on the wheels of the industry and commercial units due to a breakdown in insulation between high voltage systems and earth resulting in short circuit. Due to large change in load the interconnected grid causes loss of a large load/generation which results in power swing flow in transmission lines getting rapidly changed / redistributed to meet the new network configuration and load generation balance. For this reason the power sector is not able to continuous supply the electricity. When the power sector is a capital intensive industry and a sufficient return on the large investment in the equipment, which goes to make up the power system, must be ensured for a financial healthiness, which is an important facilitator of operational healthiness. Hand in hand the satisfaction of consumers is to be ensured by providing reliable, quality uninterrupted service. This is possible only if the whole system is kept in operation continuously without major breakdowns. To minimise the effect of power swing in the interconnected grids several defence mechanisms are study.