<div dir="ltr"><div class="gmail_default" style="font-family:georgia,serif"><div class="gmail_default"><br>Journal of Springer Nature Computer Science<br><br>Submission opens: July 29, 2020<br><br>For Submissions refer to: <a href="https://www.editorialmanager.com/sncs/default.aspx" target="_blank">https://www.editorialmanager.com/sncs/default.aspx</a><br>Journal homepage: <a href="https://www.springer.com/journal/42979" target="_blank">https://www.springer.com/journal/42979</a><br><br><br>Aims, Scope and Objectives of the Topical Issue:<br><br>Pandemic is considered as one of the major problems associated with the spread of infectious disease crossing international boundaries. The list of major pandemics includes Black Death a.k.a. the Plague (year 1347), H1N1 (1918), H2N2 Pandemic (1957-1958), H3N2 Pandemic (1968), H1N1 Pandemic (2009) and Coronavirus Disease (COVID-19). The past data reveals that the impact of pandemic situations severely affects and disrupts economy, agricultural and industry growth and relations, employment, supply chains, services, tourism, and many more aspects of human activities. The enormity and vast scale of disruption is mainly due to lack of preparedness. This necessitates the scientific and research community to provide effective methods, strategies, forecasting techniques and models, to understand and mitigate the effects of pandemic.<br>The domain of Machine Learning (ML) has been adopted to solve complex problems in various domains such as engineering, medical, banking, weather, mission critical activities, failure and anomalies detection, prediction, etc. The main reason is that ML techniques are non-parametric and are centred on rules to build algorithms which can learn and predict the outcome with certain level of confidence. They identify the underlying patterns in the input data and generate systematic relationship using statistical techniques to predict the output accurately (within limits). The ML techniques, along with Meta-Heuristics and Big Data Analytics can help in designing appropriate strategies and applications thereby minimizing the potential burden of pandemics on society. ML could be a potential tool in modelling, prediction and prescriptive analysis of a wide range of problems associated with pandemic.<br>We intend to invite elite and reflective contributions with a focus on development and use of effective ML based tools to predict possible outbreak, trend of spread, measures and effects of prevention, possible allocation of resources and supply chain management, patient recovery rates, handling emergency, medical waste management, etc. The experts from the domains associates with the big data, artificial intelligence, and policy making are encouraged to submit high quality and scientifically sound papers describing novel methods, datasets, tools or innovative solutions which can significantly contribute to the prediction and control of pandemic.<br><br><br>Topics of Interest (not limited to)<br><br>• Big data and ML in Pandemic risk analysis, tracking and prediction models<br>• Applications of the Internet of Things in healthcare<br>• Social network analysis for contact tracing<br>• Information technologies in hospital management during an epidemic or pandemic<br>• Artificial intelligence security in analysis of public health emergencies<br>• Secure and privacy-preserving analysis of data in public health emergencies<br>• Optimal allocation of resources during a pandemic or epidemic<br>• Telemedicine for managing non-emergent patients<br>• Predictive Analytics in pandemic patient risk profiling, patterns analysis for diagnosis<br>• Innovative solutions for sustainable and resilient supply chains in the face of pandemics<br>• Resource and environmental impacts of mitigation strategies (e.g., lockdowns, working from home)<br>• Implications and solutions on municipal solid waste management (e.g., surges in household waste due to increased online shopping)<br>• Implications and solutions on healthcare waste<br>• Solutions for preventing virus spreading through wastewater and solid waste streams<br>• Opportunities for circular economy after Pandemic (e.g., behaviour continued after Pandemic, supply chain changes, community self-organization, product design, localization of supply and production)<br><br><br>Editors<br><br>Dr Anand J KULKARNI<br>Symbiosis Center for Research and Innovation<br>Symbiosis International (Deemed University)<br>Pune 412115, MH, INDIA<br>Email: <a href="mailto:anand.kulkarni@sitpune.edu.in" target="_blank">anand.kulkarni@sitpune.edu.in</a>; <a href="mailto:kulk0003@ntu.edu.sg" target="_blank">kulk0003@ntu.edu.sg</a><br><br>Dr Akash TAYAL<br>Department of Electronic & Communication<br>Indira Gandhi Delhi Technical of University for Women<br>Delhi 110006, INDIA<br>Email: <a href="mailto:akashtayal@yahoo.com" target="_blank">akashtayal@yahoo.com</a><br><br>Dr Patrick SIARRY <br>Université de Paris-Est Créteil Val de Marne (UPEC)<br>Laboratoire LiSSi (E.A. 3956)<br>61 avenue du Général de Gaulle, 94010 Créteil, FRANCE<br>Email: <a href="mailto:siarry@u-pec.fr" target="_blank">siarry@u-pec.fr</a><br><br>Dr Arun SOLANKI<br>Gautam Buddha University, Greater Noida, INDIA<br>School of ICT, Gautam Buddha University, Greater Noida, INDIA<br>Email: <a href="mailto:ymca.arun@gmail.com" target="_blank">ymca.arun@gmail.com</a><br><br>Dr Ali Husseinzadeh KASHAN<br>Faculty of Industrial and Systems Engineering<br>Tarbiat Modares University<br>Tehran, IRAN<br>Email: <a href="mailto:a.kashan@modares.ac.ir" target="_blank">a.kashan@modares.ac.ir</a> <br clear="all"></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font face="Georgia, serif"><span style="font-size:12.6667px">Anand J Kulkarni PhD, MASc, BEng, DME </span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px"> </span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px">Associate Professor</span></font></div><div><span style="font-size:12.6667px;font-family:Georgia,serif">Symbiosis Center for Research and Innovation</span><br></div><div><font face="Georgia, serif"><span style="font-size:12.6667px">Symbiosis International (Deemed University)</span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px">Pune 412 115, MH, India</span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px">Email: <a href="mailto:anand.kulkarni@sitpune.edu.in" target="_blank">anand.kulkarni@sitpune.edu.in</a></span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px"><a href="mailto:kulk0003@ntu.edu.sg" target="_blank">kulk0003@ntu.edu.sg</a>; <a href="mailto:anandmasc@gmail.com" target="_blank">anandmasc@gmail.com</a></span></font></div><div><font face="Georgia, serif"><span style="font-size:12.6667px">URL: <a href="http://sites.google.com/site/oatresearch/anand-jayant-kulkarni" target="_blank">sites.google.com/site/oatresearch/anand-jayant-kulkarni</a></span></font></div><div><span style="font-size:12.6667px;font-family:Georgia,serif">Ph: 91 20 6193 6790</span><br></div><div><span style="font-size:12.6667px;font-family:Georgia,serif"><br></span></div><div><span style="font-size:12.6667px;font-family:Georgia,serif">ResearcherID: </span><font face="Georgia, serif"><span style="font-size:12.6667px"><a href="http://www.researcherid.com/rid/O-3585-2016" target="_blank">www.researcherid.com/rid/O-3585-2016</a></span></font></div><div><span style="font-family:Georgia,serif;font-size:12.8px">ORCID ID: <a href="http://orcid.org/0000-0001-6242-9492" target="_blank">orcid.org/0000-0001-6242-9492</a></span><span style="font-size:12.6667px;font-family:Georgia,serif"><br></span></div><div><span style="font-family:Georgia,serif;font-size:12.8px">Google Scholar: </span><font face="Georgia, serif"><a href="http://scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en" target="_blank">scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en</a></font></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
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