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Papers by Dileep Reddy Goda

Research paper thumbnail of Innovations in Energy Harvesting Technologies for Wireless Sensor Networks: Towards Self-Powered Systems

Asia Pacific Journal of Energy and Environment, 2019

This research looks into new developments in wireless sensor network (WSN) energy harvesting tech... more This research looks into new developments in wireless sensor network (WSN) energy harvesting technologies and how they affect self-powered systems. The primary goals are to investigate various energy harvesting technologies, pinpoint integration tactics and obstacles, look at case studies and real-world applications, and suggest future lines of inquiry and research avenues. A thorough analysis of the body of research from credible internet sources, conference proceedings, and peerreviewed publications is part of the technique. The importance of developments in materials science, their integration with AI and ML methods, the creation of multimodal energy harvesting systems, the investigation of novel energy sources and mechanisms, and the consideration of environmental and social impacts are all highlighted by critical findings. Policy implications include the need for financial incentives, legal frameworks, ecological assessments, social equality programs, and support for research and innovation to encourage the widespread acceptance and sustainable deployment of self-powered sensor networks. By expanding our knowledge and developing new energy harvesting methods for WSNs, this research helps to create sensor systems that are reliable, efficient, and selfsufficient.

Research paper thumbnail of Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes

Global Disclosure of Economics and Business, 2018

This study examines how supply chain management can use stochastic optimization models to overcom... more This study examines how supply chain management can use stochastic optimization models to overcome the problems associated with decision-making uncertainty. The study's primary goals are reviewing the literature on stochastic optimization models in supply chain management, gaining a thorough grasp of their applications, and evaluating how well they integrate uncertainty into decision-making processes. The method includes a comprehensive assessment of the current literature body, including scholarly journals, conference proceedings, and reliable web sources to obtain pertinent data and insights. The significance of incorporating uncertainty into decision-making procedures, the adaptability of stochastic optimization models for diverse supply chain functions, and their function in augmenting supply chain resilience via proactive risk mitigation and sound decision-making are among the principal discoveries. The policy implications indicate that investments in data analytics capabilities, capacity building, training programs, and regulatory frameworks are required to facilitate the implementation of stochastic optimization models in supply chain management. This study advances knowledge in supply chain management and informs future research and practice.

Research paper thumbnail of Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

ABC Journal of Advanced Research, 2023

This study investigates dynamic programming methodologies for resource allocation in project sche... more This study investigates dynamic programming methodologies for resource allocation in project scheduling, aiming to optimize efficiency while adhering to time and budget limitations. Exploring the theoretical underpinnings of dynamic programming, including time and budget restrictions into resource allocation models, and conducting case studies to assess actual applications are the primary goals of this project. This study utilized a thorough review process, including a synthesis of the relevant literature, an analysis of the case study, and policy implications. Among the most important discoveries are the following: the versatility of dynamic programming techniques in addressing resource allocation challenges across industries, the significance of incorporating time and budget constraints into decision-making processes, and the necessity of addressing limitations related to computational complexity, data requirements, and risk management. In the context of policy consequences, investments in computing infrastructure, data management techniques, and risk mitigation strategies are highlighted. In general, the findings of this study highlight the potential of dynamic programming methodologies to improve the efficiency and effectiveness of resource allocation within the context of a project that is affected by time and financial restrictions.

Research paper thumbnail of Fully analytical back-gate model for n-channel gallium nitrate mesfet's with back channel implant

California State University, Northridge, 2016

The primary aim of this project is to analyze the effect of back-gate biasing on electric field, ... more The primary aim of this project is to analyze the effect of back-gate biasing on electric field, threshold voltage and channel potential. A one-dimensional Poisson's equation has been used to calculate the channel potential and electric field. A device with implanted layers in both the front and back is examined. Two threshold voltages have been analyzed: one with only one channel in the front, and the other with implanted channels in both the front and back. The channel potential and electric field have been evaluated to examine the electric parameters of MESFET with a typical device structure.

Research paper thumbnail of Modeling and Simulation of Electromagnetic Interference in Power Distribution Networks: Implications for Grid Stability

Asia Pacific Journal of Energy and Environment, 2017

The subjects of this study are the modeling and simulation of electromagnetic interference (EMI) ... more The subjects of this study are the modeling and simulation of electromagnetic interference (EMI) in power distribution networks and its consequences for grid stability. The key goals are to find the sources of EMI, assess how they affect grid performance, and create mitigation plans. A thorough study of research articles and literature on EMI modeling, simulation methods, and grid stability assessment is part of the methodology. Important discoveries emphasize the various origins and traits of electromagnetic interference (EMI), how it affects voltage control, frequency stability, and power quality, and how to mitigate and improve grid resilience. The policy implications emphasize the significance of standards, research projects, and regulatory frameworks in tackling EMI issues and guaranteeing the dependability of distribution networks. Stakeholders can ensure a consistent and adequate supply of energy to consumers by strengthening the resilience of power distribution networks and including electromagnetic interference (EMI) considerations in design, planning, and operational procedures.

Research paper thumbnail of Telemedicine and Beyond: Navigating the Frontier of Medical Technology

Technology & Management Review, 2017

This in-depth study investigates wireless medical technology's development, current state, and po... more This in-depth study investigates wireless medical technology's development, current state, and potential future trajectories within the ever-changing medical technology environment. An examination of the revolutionary impact of Telemedicine is presented in this article, beginning with its historical roots and progressing to its central role in the delivery of modern healthcare. The narrative navigates ethical considerations and looks into developing technologies shaping the frontier of healthcare. It emphasizes its power to bridge accessibility barriers and create inclusivity. This article aims to provide stakeholders with a road map and highlight difficulties and opportunities to imagine a future in which Telemedicine is harmoniously integrated with cutting-edge innovations. This investigation sheds light on the prospective horizon and the complications of effectively navigating the junction of Telemedicine and medical technology, which is occurring within the context of a healthcare paradigm that is quickly shifting.

Research paper thumbnail of From Cashless Transactions to Cryptocurrencies: Assessing the Impact of Digitalization on Financial Security

Asian Accounting and Auditing Advancement, 2023

This study examines how digitalization affects financial security through cashless transactions a... more This study examines how digitalization affects financial security through cashless transactions and cryptocurrency. The report analyzes digitalization's benefits and difficulties, evaluates regulatory frameworks and cybersecurity measures, and identifies policy implications for digital financial security. The study analyzes digital financial services and products using a comprehensive literature evaluation of academic research, industry reports, and regulatory papers. Consumer behavior, cybersecurity, regulatory frameworks, and technological advancements impacting the digital financial ecosystem are revealed via secondary data. Digitalization promotes financial inclusion, economic empowerment, and innovation but poses regulatory uncertainties, cybersecurity risks, and technological constraints. Policy implications for digital financial security include regulatory clarity, risk-based regulation, cybersecurity resilience, and consumer empowerment. To increase economic security and confidence in the digital economic ecosystem, policymakers should prioritize regulatory clarity, risk-based regulation, cybersecurity resilience, and consumer education. By addressing these concerns and enacting evidence-based regulations, stakeholders can create a more inclusive, transparent, and resilient digital financial ecosystem.

Research paper thumbnail of Innovations in Energy Harvesting Technologies for Wireless Sensor Networks: Towards Self-Powered Systems

Asia Pacific Journal of Energy and Environment, 2019

This research looks into new developments in wireless sensor network (WSN) energy harvesting tech... more This research looks into new developments in wireless sensor network (WSN) energy harvesting technologies and how they affect self-powered systems. The primary goals are to investigate various energy harvesting technologies, pinpoint integration tactics and obstacles, look at case studies and real-world applications, and suggest future lines of inquiry and research avenues. A thorough analysis of the body of research from credible internet sources, conference proceedings, and peerreviewed publications is part of the technique. The importance of developments in materials science, their integration with AI and ML methods, the creation of multimodal energy harvesting systems, the investigation of novel energy sources and mechanisms, and the consideration of environmental and social impacts are all highlighted by critical findings. Policy implications include the need for financial incentives, legal frameworks, ecological assessments, social equality programs, and support for research and innovation to encourage the widespread acceptance and sustainable deployment of self-powered sensor networks. By expanding our knowledge and developing new energy harvesting methods for WSNs, this research helps to create sensor systems that are reliable, efficient, and selfsufficient.

Research paper thumbnail of Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes

Global Disclosure of Economics and Business, 2018

This study examines how supply chain management can use stochastic optimization models to overcom... more This study examines how supply chain management can use stochastic optimization models to overcome the problems associated with decision-making uncertainty. The study's primary goals are reviewing the literature on stochastic optimization models in supply chain management, gaining a thorough grasp of their applications, and evaluating how well they integrate uncertainty into decision-making processes. The method includes a comprehensive assessment of the current literature body, including scholarly journals, conference proceedings, and reliable web sources to obtain pertinent data and insights. The significance of incorporating uncertainty into decision-making procedures, the adaptability of stochastic optimization models for diverse supply chain functions, and their function in augmenting supply chain resilience via proactive risk mitigation and sound decision-making are among the principal discoveries. The policy implications indicate that investments in data analytics capabilities, capacity building, training programs, and regulatory frameworks are required to facilitate the implementation of stochastic optimization models in supply chain management. This study advances knowledge in supply chain management and informs future research and practice.

Research paper thumbnail of Dynamic Programming Approaches for Resource Allocation in Project Scheduling: Maximizing Efficiency under Time and Budget Constraints

ABC Journal of Advanced Research, 2023

This study investigates dynamic programming methodologies for resource allocation in project sche... more This study investigates dynamic programming methodologies for resource allocation in project scheduling, aiming to optimize efficiency while adhering to time and budget limitations. Exploring the theoretical underpinnings of dynamic programming, including time and budget restrictions into resource allocation models, and conducting case studies to assess actual applications are the primary goals of this project. This study utilized a thorough review process, including a synthesis of the relevant literature, an analysis of the case study, and policy implications. Among the most important discoveries are the following: the versatility of dynamic programming techniques in addressing resource allocation challenges across industries, the significance of incorporating time and budget constraints into decision-making processes, and the necessity of addressing limitations related to computational complexity, data requirements, and risk management. In the context of policy consequences, investments in computing infrastructure, data management techniques, and risk mitigation strategies are highlighted. In general, the findings of this study highlight the potential of dynamic programming methodologies to improve the efficiency and effectiveness of resource allocation within the context of a project that is affected by time and financial restrictions.

Research paper thumbnail of Fully analytical back-gate model for n-channel gallium nitrate mesfet's with back channel implant

California State University, Northridge, 2016

The primary aim of this project is to analyze the effect of back-gate biasing on electric field, ... more The primary aim of this project is to analyze the effect of back-gate biasing on electric field, threshold voltage and channel potential. A one-dimensional Poisson's equation has been used to calculate the channel potential and electric field. A device with implanted layers in both the front and back is examined. Two threshold voltages have been analyzed: one with only one channel in the front, and the other with implanted channels in both the front and back. The channel potential and electric field have been evaluated to examine the electric parameters of MESFET with a typical device structure.

Research paper thumbnail of Modeling and Simulation of Electromagnetic Interference in Power Distribution Networks: Implications for Grid Stability

Asia Pacific Journal of Energy and Environment, 2017

The subjects of this study are the modeling and simulation of electromagnetic interference (EMI) ... more The subjects of this study are the modeling and simulation of electromagnetic interference (EMI) in power distribution networks and its consequences for grid stability. The key goals are to find the sources of EMI, assess how they affect grid performance, and create mitigation plans. A thorough study of research articles and literature on EMI modeling, simulation methods, and grid stability assessment is part of the methodology. Important discoveries emphasize the various origins and traits of electromagnetic interference (EMI), how it affects voltage control, frequency stability, and power quality, and how to mitigate and improve grid resilience. The policy implications emphasize the significance of standards, research projects, and regulatory frameworks in tackling EMI issues and guaranteeing the dependability of distribution networks. Stakeholders can ensure a consistent and adequate supply of energy to consumers by strengthening the resilience of power distribution networks and including electromagnetic interference (EMI) considerations in design, planning, and operational procedures.

Research paper thumbnail of Telemedicine and Beyond: Navigating the Frontier of Medical Technology

Technology & Management Review, 2017

This in-depth study investigates wireless medical technology's development, current state, and po... more This in-depth study investigates wireless medical technology's development, current state, and potential future trajectories within the ever-changing medical technology environment. An examination of the revolutionary impact of Telemedicine is presented in this article, beginning with its historical roots and progressing to its central role in the delivery of modern healthcare. The narrative navigates ethical considerations and looks into developing technologies shaping the frontier of healthcare. It emphasizes its power to bridge accessibility barriers and create inclusivity. This article aims to provide stakeholders with a road map and highlight difficulties and opportunities to imagine a future in which Telemedicine is harmoniously integrated with cutting-edge innovations. This investigation sheds light on the prospective horizon and the complications of effectively navigating the junction of Telemedicine and medical technology, which is occurring within the context of a healthcare paradigm that is quickly shifting.

Research paper thumbnail of From Cashless Transactions to Cryptocurrencies: Assessing the Impact of Digitalization on Financial Security

Asian Accounting and Auditing Advancement, 2023

This study examines how digitalization affects financial security through cashless transactions a... more This study examines how digitalization affects financial security through cashless transactions and cryptocurrency. The report analyzes digitalization's benefits and difficulties, evaluates regulatory frameworks and cybersecurity measures, and identifies policy implications for digital financial security. The study analyzes digital financial services and products using a comprehensive literature evaluation of academic research, industry reports, and regulatory papers. Consumer behavior, cybersecurity, regulatory frameworks, and technological advancements impacting the digital financial ecosystem are revealed via secondary data. Digitalization promotes financial inclusion, economic empowerment, and innovation but poses regulatory uncertainties, cybersecurity risks, and technological constraints. Policy implications for digital financial security include regulatory clarity, risk-based regulation, cybersecurity resilience, and consumer empowerment. To increase economic security and confidence in the digital economic ecosystem, policymakers should prioritize regulatory clarity, risk-based regulation, cybersecurity resilience, and consumer education. By addressing these concerns and enacting evidence-based regulations, stakeholders can create a more inclusive, transparent, and resilient digital financial ecosystem.