Teaching and research are the two sides of a coin; both are very important for an academician. As per the current demand of the modern education system, teaching and research would be helpful to build a long and sustainable career in academics. To move ahead smoothly, there is a necessity to carry out research on whatever an academician is teaching. This methodology can help academicians to make a strong connection between research and teaching. Further, it helps students to learn the ongoing research trends in their respective fields.

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The ultimate goal of scientific research is publication so as to showcase the research outcomes. Scientists, starting as graduate students, are measured primarily not by their dexterity in laboratory manipulations, not by their innate knowledge of either broad or narrow scientific subjects, and certainly not by their wit or charm; they are measured, and become known by their publications. A scientific experiment, no matter how spectacular the results, is not completed until the results are published. In fact, the cornerstone of the philosophy of science is based on the fundamental assumption that original research must be published; only thus can…

This research paper designates the importance and usage of the case study approach effectively to educating and training software designers and software engineers both in academic and industry. Subsequently an account of the use of case studies based on software engineering in the education of professionals, there is a conversation of issues in training software designers and how a case teaching method can be used to state these issues. The paper describes a software project titled Online Tower Plotting System (OTPS) to develop a complete and comprehensive case study, along with supporting educational material. The case study is aimed to demonstrate a variety of software areas, modules and courses: from bachelor through masters, doctorates and even for ongoing professional development.

Full Article: https://arxiv.org/abs/1306.2502


  • Propose a novel scheme to predict the impact of COVID-19 Pandemic
  • Design a model based on Cloud Computing and Machine Learning for real-time prediction
  • Show improved prediction accuracy compared to baseline method
  • Highlight key future research directions and emerging trends


The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing day by day. Machine Learning (ML) and Cloud Computing can be deployed very effectively to track the disease, predict growth of the epidemic and design strategies and policy to manage its spread. This study applies…

The Internet of Things (IoT) and cloud computing paradigms offer enhanced services for agricultural applications to manage the data efficiently. To provide an effective and reliable agriculture as a service, there is a need to manage Quality of Service (QoS) parameters to efficiently monitor and measure the delivered services dynamically. This paper presents a QoS-aware cloud based autonomic information system called Agri-Info for delivering agriculture related information as a service through the use of latest Internet-based technologies such as cloud computing and IoT which manage various types of agriculture related data based on different domains of agricultural industry. Proposed system…

The world is waking up to the grave calamity of climate change empowered by the efforts taken by young activists as Greta Thunberg. Climate change is a reality destroying complete ecosystems of living beings. Users of world wide web are increasing every day and their demand is increasing exponentially. To fulfil this demand of the users effectively, the prominent cloud providers such a Facebook, Microsoft, Google are utilizing emerging technologies and digital transformations such as Artificial Intelligence (AI), Internet of Things (IoT) and 6th Generation (6G) requiring large cloud data centers. Further, expansion of cloud data centers, needs more energy…


Cloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media. Such system must cope with varying load and evolving usage reflecting societies’ interaction and dependency on automated computing systems whilst satisfying Quality of Service (QoS) guarantees. Enabling these systems are a cohort of conceptual technologies, synthesised to meet demand of evolving computing applications. In order to understand current and future challenges of such system, there is a need to identify key technologies enabling future applications. In this study, we aim to explore how three emerging paradigms (Blockchain, IoT and…

Dr Sukhpal Singh Gill

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