Lung Disease Classification Using Deep Learning Models from Chest X-ray Images

In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis cause a large number of deaths because they all affect the lungs. Early detection and diagnosis can increase the likelihood of receiving quality treatment in all circumstances. A low-cost, simple imaging approach called chest X-ray imaging enables to detection and screen lung abnormalities brought on by infectious diseases for example Covid-19, pneumonia, and tuberculosis. This paper provided a thorough analysis of current deep-learning methods for diagnosing Covid-19, pneumonia, and TB. According to the research papers reviewed, Deep Convolutional Neural Network is the most used deep learning method for identifying Covid-19, pneumonia, and TB from chest X-ray (CXR) images. We compared the proposed DNN to well-known DNNs like Efficient-NetB0, DenseNet169, and DenseNet201 in order to more accurately assess how well it performed. Our findings are equivalent to the state-of-the-art, and since the proposed CNN is lightweight, it may be employed for widespread screening in areas with limited resources. From three diverse publicly accessible datasets merged into one dataset, the suggested DNN generated the following precisions for that dataset: 99.15%, 98.89%, and 97.79% for EfficientNetB0, DenseNet169, and DenseNet201 respectively. The proposed network can help radiologists make quick and accurate diagnoses because it is effective at identifying COVID-19 and other lung contagious disorders utilizing chest X-ray images. This paper also gives young scientists a good insight into how to create CNN models that are highly efficient when used with medical images to identify diseases early. © 2023 IEEE.

Building a Real-Time System to Monitor Students Electronically Based on Digital Images of Face Movement

The spread of the Corona Virus pandemic on a global scale had a great impact on the trend towards e-learning. In the virtual exams the student can take his exams online without any papers, in addition to the correction and electronic monitoring of the exams. Tests are supervised and controlled by a camera and proven cheat-checking tools. This technology has opened the doors of academic institutions for distance learning to be wide spread without any problems at all. In this paper, a proposed model was built by linking a computer network using a server/client model because it is a system that distributes tasks between the two. The main computer that acts as a server (exam observer) is connected to a group of sub-computers (students) who are being tested and these devices are considered the set of clients. The proposed student face recognition system is run on each computer (client) in order to identify and verify the identity of the student. When another face is detected, the program sends a warning signal to the server. Thus, the concerned student is alerted. This mechanism helps examinees reduce cheating cases in early time. The results obtained from the face recognition showed high accuracy despite the large number of students' faces. The performance speed was in line with the test performance requirements, handling 1,081 real photos and adding 960 photos. © 2022 IEEE.

Remote Monitoring of COVID-19 Patients Following Discharge from a Tertiary Care Center

The COVID-19 pandemic has affected people, healthcare systems and caregivers on a global scale causing bottlenecks in hospital resources and overload of healthcare systems. The presence of disease sequelae in patients hospitalized due to CO VID-19 warrants additional care and monitoring of these patients. Remote monitoring techniques have been implemented in several domains of healthcare such as cardiology, cardiac rehabilitation and nephrology. Monitoring of vital signs using these technologies has allowed the tracking of patients with more granularity, resulting in better clinical outcomes such as reduction in hospitalizations. Therefore, we hypothesize that remote monitoring is beneficial in managing CO VID-19 patients post-hospitalization, enabling home-based patient follow-up. In this study, we investigated the use of remote monitoring on a COVID-19 patient cohort discharged from a tertiary care center. A post-hoc division of patients into two groups (alert-generating patients and non-alert generating patients) was performed. The longitudinal progression of sensor and questionnaire data was studied using linear mixed-effect models. The measured heart rate values were statistically significant in terms of the intercept (p < 0.001), indicating a difference between the two patient groups at baseline immediately post-discharge. © 2022 Creative Commons.

High-performance association rule mining: Mortality prediction model for cardiovascular patients with COVID-19 patterns

On a global scale, 213 countries and territories have been affected by the coronavirus outbreak. According to researchers, underlying co-morbidity, which includes conditions like diabetes, hypertension, cancer, cardiovascular disease, and chronic respiratory disease, impacts mortality. The current situation requires for immediate delivery of solutions. The diagnosis should therefore be more accurate. Therefore, it's essential to determine each person's level of risk in order to prioritise testing for those who are subject to greater risk. The COVID-19 pandemic's onset and the cases of COVID-19 patients who have cardiovascular illness require specific handling. The paper focuses on defining the symptom rule for COVID-19 sickness in cardiovascular patients. The patient's chronic condition was taken into account while classifying the symptoms and determining the likelihood of fatality. The study found that a large proportion of people with fever, sore throats, and coughs have a history of stroke, high cholesterol, diabetes, and obesity. Patients with stroke were more likely to experience chest discomfort, hypertension, diabetes, and obesity. Additionally, the strategy scales well for large datasets and the computing time required for the entire rule extraction procedure is faster than the existing state-of-the-art method. © 2023 Faculty of Engineering, Alexandria University

Audit Methodologies in Pandemic Clinic Alert: What is the Real Assurance for the Patient?

This paper analyzes the factors that explain the increased use of special reports by hospital facility auditors, such as the formalization of the clinical pandemic template Covid-19, wondering if they look like evaluation studies. It examines their training as well as their impact as well as the institutional use implicit in the performance audit. From an anthropological perspective, the audit could traditionally be considered as "Rituals of Verification”, recognizing the procedure and the evaluation have social effects, in public management. In addition, auditing practices may often seem "trivial, inevitable part of a bureaucratic process”, but taken together and over time, they are probably part of a distinct cultural artifact. Like the audit, the performance assessment function is to allow for accountability, but there is also an emphasis on collective learning. The audit is therefore an essential part of the assessment in hospital management, contributing to the realization of financial responsibility, guaranteed the institutional legitimacy of the managerial decision-making system. Copyright © FrancoAngeli.

Data Science Adoption and Operationalization in the O&G Industry: Challenges and Solutions

The Oil and Gas (O&G) industry is used to cycles of lows and highs due to different challenging economic and political situations. Yet the challenges caused by the sanitary crisis due to the covid-19 pandemic are certainly like no others. The shutdown of a large number of social activities had a direct impact on energy consumption. Many studies [1], [2] and [3] have been published at the beginning of the covid-19 pandemic to predict impacts of the restrictions imposed on a global scale: decline in global oil demand, saturation of storage capacities and delay of exploration and production projects. Companies facing this unprecedented crisis had no option but to adopt innovative ways of driving costs lower and maximizing operational efficiency. As a consequence, the pace at which Data Science (DS) is finding its way to O&G applications has been noticeably accelerated although the O&G industry is one of the latecomers to digitalization [4]. The adoption of DS and data-driven solutions has moved from gaining acceptance in the industry to becoming a necessity to many companies. According to a Gartner survey [5], the O&G industry commitment to investment in digital transformation in general had become the first priority in 2021 while it was third-highest priority in 2019 and not even funded in 2014. This involves investments in data acquisition techniques through innovative sensing technologies but also investments in advanced data aggregation and analytics platforms. AI/ML/analytics are listed in the same survey [5] as "top game-changing technologies in 2021". The 2021 survey also states that 50% of the O&G companies have plans to increase their investments in AI/ML and related fields such as cloud-computing. But adoption and operationalization of DS does not come with no challenges. Acceptance and reliance on data-driven models need a favorable cultural and technical environment that is not necessarily compatible with the conventional corporate-like outlook of O&G companies: Data privacy and ownership regulations can diminish DS efforts. Security restrictions can prevent deployment of ML models to end users. All of these challenges are accentuated by the absence of a clear process model to implement and manage DS projects. In this paper, we survey the actual challenges the O&G industry is facing and present a number of corresponding solutions. The paper is structured as follows. The first section explores the state of the art of data-driven models in the O&G industry. The second section lists the challenges DS is facing within the O&G industry and proposes a classification of these challenges into three main classes, namely: human, data and infrastructure related challenges. The paper also proposes an O&G specific framework for DS projects to overcome these identified challenges. Copyright © 2022, International Petroleum Technology Conference.

Public Health Approach to Outdoor Urban Health

Recent years of the Covid-19 pandemic have seen a proportional increase in the amount of time we spend in our homes each day. In spite of this, urban dwellers continue to spend-although varying from area to area of the world-many hours outside their homes for work, daily needs, recreation, and social relationships. This implies that the urban environment, both tangible and intangible, has several factors that can be both protective and risky for health. As highlighted in the 2016 Quito Conference, health can be the pulse of the new urban agenda for sustainable urban development [1]. It is not easy to take stock of where we are. On a global scale, there still seems to be a limited ethical-cultural awareness, a lack of political attention and thus of resource allocation, an insufficient capacity to use innovative choices and technologies and to actively involve local communities in decision-making processes and in the implementation of possible interventions. On the other hand, there are numerous positive experiences of urban realities that have produced convincing efforts in recent decades to make our cities more livable and healthy. Let us hope that the 2030 agenda proposed by the United Nations on the Sustainable Development Goals can really exert a driving role in this direction. A real willingness to set in motion virtuous processes to guarantee us a better quality of urban life, including by agreeing to revise our development and consumption patterns, will make all the difference. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Public Health Approach to Outdoor Urban Health

Recent years of the Covid-19 pandemic have seen a proportional increase in the amount of time we spend in our homes each day. In spite of this, urban dwellers continue to spend-although varying from area to area of the world-many hours outside their homes for work, daily needs, recreation, and social relationships. This implies that the urban environment, both tangible and intangible, has several factors that can be both protective and risky for health. As highlighted in the 2016 Quito Conference, health can be the pulse of the new urban agenda for sustainable urban development [1]. It is not easy to take stock of where we are. On a global scale, there still seems to be a limited ethical-cultural awareness, a lack of political attention and thus of resource allocation, an insufficient capacity to use innovative choices and technologies and to actively involve local communities in decision-making processes and in the implementation of possible interventions. On the other hand, there are numerous positive experiences of urban realities that have produced convincing efforts in recent decades to make our cities more livable and healthy. Let us hope that the 2030 agenda proposed by the United Nations on the Sustainable Development Goals can really exert a driving role in this direction. A real willingness to set in motion virtuous processes to guarantee us a better quality of urban life, including by agreeing to revise our development and consumption patterns, will make all the difference. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Air pollution in central European capital (Budapest) via self-made passive samplers and Sentinel-3B SYN satellite images

This study is to identify the types of ultra-fine air pollutants present in the local atmosphere. The authors utilize Sentinel-3B SYN satellite images to identify the presence of Aerosol Optical Thickness (T550), and later verify this presence through physical sample collection using self-made passive samplers (SMPSs) at various locations in Budapest ((A) Passenger Cruise Port, (B) Kunsthalle, (C) Szechenyi Lanchid, and (D) Liberty Bridge). The samples obtained from the SMPSs were analyzed by X-ray Diffraction (XRD) to identify the minerals present in ultra-fine phases (e.g. minerals and ultra-fine amorphous). The images from the Sentinel-3B SYN satellite, taken between 2018, 2019 and 2021 allowed us to identify the Aerosol Optical Thickness (T550) at these same locations in Budapest. The SMPS samples revealed the presence of ultra-fine particles containing elements dangerous to human health, such as: As, Cd, Cr, Hg, Pb, Ti, V and Ni. The points analyzed in the Sentinel-3B SYN satellite images showed a 50.89% reduction in T550 levels in the city of Budapest, attributed to the COVID-19 epidemic, which clearly demonstrates the need to reduce pollutants for a better quality of life in this central capital of Europe.

ONBOARDING, A LEARNING APPROACH TO OVERCOME ADOPTION THRESHOLDS WITH EXTENDED REALITY

Never before has restrictions at a global scale due to the Covid-19 pandemic put industry at such unprecedented transformation need. Sustainability by using resources with greater consideration in order to continue to stay resilient, and to thrive post-pandemic has put attention on how benefit the most out of emerging technologies. The advent of extended reality (XR) is today reshaping the way people experience the physical and the virtual environments, from observation to immersion. Due to the turmoil caused by the pandemic technologies that minimize equipment threshold has increased in popularity. Today XR enable experts to be more productive to detect and debug problems and resolve production issues remotely. Currently, both clear advantages and potential disadvantages may exist based on degree of the maturity level of integration. XR provides opportunities for immersive learning, upskilling and renewal. Still, it involves several uncertainties in benefits. XR implementation therefore remain very dispersed among companies. Implementation of these technologies has been considered more to the level of having an inhouse highly sophisticated playground, with potential for later consideration. However, what is missing in many instances is a clear understanding of the impact and transformative mechanisms that AR, VR and MR could provide if only equipped with learnings of how to introduce and adopt knowledge embedded in various use-cases. With a growing experience in testing these technologies the possibilities and requirements needed for successful decision-making are also starting to emerge. Consequently, by understand learning adoption and value drivers in industrial settings, skills practiced in academia can be sharpened not only from a contextual understanding but also to new academic domains and to incentivize implementation initiatives. This paper is looking at distinct value indicators for onboarding as a way for industry professionals to learn new XR skills. © Proceedings of the 24th International Conference on Engineering and Product Design Education: Disrupt, Innovate, Regenerate and Transform, E and PDE 2022. All rights reserved.

Laboratory Biosafety Intelligent Management System Design

The outbreak of the new crown pneumonia on a global scale has caused serious damage to every country, whether financial or human, and the death toll has also increased significantly. This enhances the importance of laboratory biosafety management, which is related to human life safety and should not be underestimated. In the past, biosafety has not received much attention, resulting in the biosafety management status of biosafety laboratories in my country is not optimistic. On the one hand, it is necessary to cope with reducing the number of people infected with pneumonia. On the other hand, there is an urgent need to match drugs against the new crown. Time is very short, and the number of infected people will increase rapidly according to time. Since viral nucleic acid testing is toxic, it has been reported in our country that many doctors have been infected with the new coronavirus, which has dealt a heavy blow to laboratory biosafety and the people of the country. Immediately afterwards, many medical universities were also exposed to lax safety management, lack of laboratory safety principles, and low safety factor for teachers and students. With the development of life safety and biotechnology, efficient implementation should strengthen research on biotechnology and management safety. The state also hopes that they can make rectifications. This also gives great trust to the management of biosafety laboratories in colleges and universities. I hope they can do their best. correct. © 2022 SPIE.

The Labour Market Consequences of the COVID-19 Pandemic in the European Union Countries: Selected Issues

The massive lockdowns of economies as a result of the COVID-19 pandemic are unprecedented on a global scale. Such actions have unfortunately had their negative consequences for the labour market. This is expressed, among other things, through the deterioration of labour market indicators. The aim of the presented study is to assess the size of differences in changes in selected labour market indicators across EU countries over the period 2019–2020 and to assess the heterogeneity of EU countries due to the responses of these indicators. Given that EU countries have used isolation strategies and job support with different intensities, and that their labour markets are characterised by quite different elasticities, the response of these markets is characterised by considerable heterogeneity. In the analysis, we consider labour market characteristics such as economic activity, employment level, share of part-time workers, share of temporary workers or share of self-employed. The k-means algorithm is applied as a research tool. In turn, we use the silhouette index to assess the quality of the obtained divisions. The results obtained indicate a diverse response of national labour markets to the restrictions introduced as a result of COVID-19. The largest negative changes we observe in the group includes PIIGS countries (Portugal, Ireland, Italy, Greece and Spain) and Bulgaria, Czech Republic, and Slovakia. The countries in the group in which Luxembourg, Hungary and the Netherlands are classified have done relatively well, where apart from a reduction in the number of temporary workers, changes in other characteristics are positive. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Soil Moisture Active Passive: Flying A Spacecraft From Home

During the unprecedented COVID-19 pandemic, the Soil Moisture Active Passive (SMAP) spacecraft was flown almost entirely from the homes of operations personnel. SMAP is a science spacecraft mission, measuring soil moisture, its freeze/thaw state, and other parameters on a global scale to support weather forecasting, disaster response and climate research. Institutional pandemic response protocols at the Jet Propulsion Laboratory (JPL) prescribed that only mission critical and mission essential work may be performed on-site. Fortuitously, automation is a defining characteristic of SMAP operations. Ground systems are used to automate routine tasks but not to replace or replicate the technical expertise of human operators. Nominal operations are repetitive, occur around the clock, and automation allows them to be low cost. Potential contingency scenarios were assessed. Consequences of lost or degraded capability of major mission system elements were evaluated. In particular, the impacts of progressively reduced availability of ground antenna stations were considered. Operational adjustments were made to conduct nearly all functions remotely. Naturally, all meetings were conducted online, and chat rooms were set up. For the infrequent real-time operations, an uplink team of two was deployed to the mission ops center, and all other participants remotely monitored the telemetry and systems. The project policy that all manual uplinks must be performed on-site by two persons was retained. Maneuvers, normally performed on-site with support from several system and sub-system operators, were now performed completely remotely by activating one of a set of pre-loaded maneuver sequences. Despite the situation, significant non-routine activities were accomplished to address anomalies and programmatic needs. A major upgrade of the ground data system was performed, replacing aging hardware and updating obsolete software, although on a longer timeline than originally planned. An innovative parallel operations architecture was used to validate functionality and performance of the upgraded system, while still operating on the legacy system. Similarly, the flight system testbed needed to be upgraded, with the configuration swapped multiple times to accommodate testing and other programmatic needs. The spacecraft experienced a significant corruption of the non-volatile memory. Diagnosis and recovery using new tools were performed almost entirely from home. In summary, SMAP remote operations during the pandemic have been and continue to be highly successful. These experiences have demonstrated that much of the operations may actually be conducted remotely. © 2022 IEEE.

A Comprehensive, Longitudinal Study of Government DNS Deployment at Global Scale

Within the Domain Name System (DNS), government domains form a particularly valuable part of the names-pace, representing trusted sources of information, vital services, and gateways for government personnel to engage in their duties. As the COVID-19 pandemic has unfolded, governments' digital resources have become increasingly important to provide support to populations largely in isolation. The accessibility of these resources relies largely on the trustworthiness of the domains that represent them. In this paper, we conduct an extensive measurement study focused on the availability and legitimacy of DNS records in the authoritative nameservers of government domains for over 190 countries. Our measurements reveal that thousands of domains do not use replicated authoritative name-servers, as well as a substantial increase in the trend of more domains relying on a single third-party DNS services provider. We also find more than 1,000 domains vulnerable to hijacking due to defective delegations. Our work shows that although robust overall, the deployments of authoritative nameservers in government domains still contain a non-trivial number of configurations that do not meet RFC requirements, leading to poor performance and reduced reliability that may leave domains vulnerable to hijacking. © 2022 IEEE.

Estimation of Pedestrian Flows in Urban Context: A Comparison Between the Pre and Post Pandemic Period

The Covid-19 pandemic, within a few months, radically changed the organization of daily life on a global scale;this has affected all aspects related to everyday life such as home-to-work or not home-to the work trips, accessibility of destination, recreational activities and so on. The need to reduce coronavirus transmission, especially indoors, has imposed the “social or physical distancing” that has required administrations to reorganize roads and sidewalks for public use both to tackle this crisis and to prepare for the future pandemic challenges. Following a previous extensive study devoted to the analysis and prediction of pedestrian flows in urban area in the city of Cassino, a new experimental campaign has been recently designed and carried out in order to validate the previous methodology and/or to highlight new trends in urban pedestrian activities. Comparison between pre-pandemic and post-pandemic data and calibrated models provided an interesting insight on the pedestrian behavioral impacts of emergency measures undertaken during pandemic. It is believed that obtained results may provide a useful knowledge for urban planners and designers to retrofit urban spaces taking into account the new pedestrian attitudes to mobility induced by the pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Digital Technologies Adoption to Face COVID-19 Pandemic: An Exploratory Approach

The biggest public health emergency of the 21st century, COVID-19, a disease caused by the new SARS-CoV-2 coronavirus, has challenged health systems on a global scale. In this pandemic scenario, digital technologies show themselves as alternatives to fight the disease. Therefore, this article aimed to map the application of digital technologies in the scope of the COVID-19 pandemic. To this end, an exploratory study was developed, with a qualitative approach and through the application of bibliographical research based on a systematic review. The mapping and discussion of the application of strategies from the Fourth Industrial Revolution in actions to combat SARS-CoV-2 pointed to Augmented Reality, Additive Manufacturing, Collaborative Robots, Big Data Analytics, and Internet of Things as enablers to prevent, detect, and manage COVID-19 disease, promoting telehealth, intelligent tracking of infected individuals, real-time medical data sharing, rapid prototyping of critical devices, among others. Reports in the literature suggest the importance of a robust technological apparatus to face this sanitary challenge, which should be one of the focuses for the development of new public policies. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A Multidisciplinary Approach to Leadership During the COVID 19 Era. The Case of Romania

The COVID 19 pandemic hit on a global scale: more than 219 countries were affected. Governments are struggling to raise awareness regarding the need to get vaccinated. Efforts have been made relentless since 2019 to prevent the infection globally. How to increase the vaccine acceptance rate proved to be a challenging task for governments since vaccination is the only efficient measure to efficiently protect people from disease. According to various studies, it is necessary to vaccinate about 90% of the population to create herd immunity and decelerate the transmission of the virus. According to the numbers published by the Romanian Health Ministry (January, 2022), 40.9% of the population got vaccinated. In terms of age segments, about 35% of people between 19 and 25 years of age had at least one dose of vaccine while the new variant of COVID (Omicron) spreads and infects about 25.000 each and every day (as of January, 2022. We all need to better understand why some people prefer to vaccinate while others oppose to vaccination. The focus is on raising the vaccination rate and therefore, public health officials and governments work on finding the strategy to impact people so that they decide to vaccinate. While vaccination questions trust in government officials, strategies and policies, recent studies (Hui 2020) show that in times of crisis such as the COVID 19 pandemic is also a matter of leadership and leadership authenticity. Some evidence found in the literature suggests that authentic leadership is increasingly in demand (source). Therefore, we looked into the issue of authentic leaders – what are the traits, skills, and behaviors that people associate with authentic leadership in the specific context of (COVID) crisis leadership. The research methodology is based on the construction of a questionnaire structured on types of questions related to what authentic leadership means in relation with the present pandemic. The second part of the questionnaire looked into the beliefs and behaviors of our respondents toward vaccination. Data were collected and analyzed. The model of authentic leadership that emerged and the formulated hypotheses were tested followed by a statistical analysis, interpretation and conclusions. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Agent-based modeling in global pandemic propagation

Agent-based modeling has been widely used in the simulation of global pandemics, which provides useful policy implications and helps contain the pandemic's spread. Through agent-based modeling (ABM), people gain insight into the transmission of the pandemic and develop better policies to contain its spread. This article introduces the existing agent-based models used in the pandemic, such as smallpox, H1N1, and COVID-19, and the conclusions about pandemic forecasting that the scientists have reached through ABM. The introduction also shows the development and improvement of ABM as the computational power increases. It has been concluded from the existing research that implementing contact tracing and lockdown regulations could contribute to the achievement of digital herd immunity and contain the spread of the pandemic. Currently, scientists are dedicated to making a more scalable version of the agent-based model to analyze the transmission of the virus on a global scale. © 2022 IEEE.

Prospects for Sustainable Tourism Product Diversification: The Creative Industries in Botswana

Currently on a global scale tourism development has gained significant attention for increasingly becoming an important tool for promoting economic growth. In developing countries, it is seen as a means of alleviating poverty within communities. While tourism is a multi-sector industry, there is limited empirical research on creative industries in Botswana;these include fashion, media, film, art, live events and advertising. Today the emergence and the uniqueness of local culture as a means of diversifying the tourism product in the country is gaining popularity and attention alongside tourism remaining one of Botswana’s most important services industries responsible for export. The industry is vital for employment and income generation. Currently tourism is highly based around the country’s natural resources although it has the potential to grow beyond this by diversification facilitated through unique Tourism product development interventions. This paper identifies prospects for the growth of sustainable and tourism product diversification by addressing strategic interventions using the creative industries in Botswana through means of driving innovation and technology. The paper brings forward recommendations that have the potential to underpin economic development within the country. Using a qualitative approach the paper appraises the current state of the tourism industry in Botswana not only for the revival and recovery of tourism in Botswana post Covid-19 but attempts to develop a plan for streamlining the creative industry within the realms of cultural heritage tourism and sustainability of tourism. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Wireless and Mobile Security Research and Teaching in the Post-Pandemic World

The COVID-19 pandemic disrupted many aspects of our lives at a global scale. This includes the disruption of the research and teaching we perform within the security and privacy community. As the pandemic is weaning off, the lessons learnt during the pandemic can be very valuable in the future, both for navigating pandemic-like situations, and for accommodating greater inclination towards remote work and education. In this panel, international experts with various professional backgrounds and different points of view will discuss the impact they faced over the last two years, such as halting (or starting) specific research problems due to pandemic-related restrictions, unique challenges in deploying new experiments and how they overcame them, and finding novel ways to facilitate social events like conferences and hackathons. © 2022 Owner/Author.