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<br><br>
<h3 class="p-border">Events </h3>
<h4 >Upcoming Events </h4>
<p> <b> PAKDD 2021</b> <br>
My Role: Publicity Co-Chair<br>
The <b>Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)</b> is one longest established and leading international conferences in the areas
of data mining and knowledge discovery. It will be organized in Delhi during May 10-14, 2021 by both JNU and IIIT Hyderabad. It provides an international forum
for researchers and industry practitioners to share their latest developments, new ideas, original research results and practical development experiences from
all KDD related areas including data mining, statistical and symbolic machine learning, databases, knowledge acquisition and automatic scientific discovery,
data visualization, and knowledge-based systems.
<a href= "https://pakdd.org/" target="_blank" style="color:#0000FF; ">See more ....</a> <br>
<p> <b> BDA 2020</b><blink> UPCOMING</BLINK><br>
My Role: Publicity Co-Chair<br>
The <b>8th International Conference on Big Data Analytics (BDA 2020) </b>will be held during December 15-18, 2020 at Ashoka University, India.
The conference will be organized by Ashoka University. BDA 2020 provides an international forum for researchers and industry practitioners to share
their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing
paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.
<a href= "http://www.bda2020.org/ " target="_blank" style="color:#0000FF; ">See more ....</a> <br>
<p> <b> MISP 2020</b><blink> UPCOMING</BLINK><br>
My Role: Technical Program Chair <br>
The<b> 3rd International Conference on Machine Intelligence and Signal Processing (MISP) 2021 </b>will be organized by Sri Lanka Technological Campus (SLTC)
on January 23-24, 2021. This conference will be conducted online giving a platform for researchers all over the globe interested in the areas of data mining,
artificial intelligence, optimization, machine learning methods/ algorithms, signal processing theory and methods, and applications to human brain disorders
like epilepsy, Alzheimer, sleep disorders etc. Other applications of machine learning and signal processing techniques are also welcome.
<a href= "https://sltc.ac.lk/" target="_blank " style="color:#0000FF; " > See more ....</a> <br>
<p> <b>Five days GIAN course on "Learning from Data Streams"</b> <blink> UPCOMING</BLINK><br>
My Role: Host faculty <br>Today an enormous amount of data is coming from various sources like sensor networks, financial
transactions, traffic monitoring, sets of web pages, etc. in the form of data streams. The volume of
data is rapidly increasing due to the development of information and communication technologies.
Data comes mostly in the form of streams. Learning from this ever-growing amount of data
requires flexible learning models that self-adapt over time. In addition, these models must take into
account many constraints: real-time processing, high-velocity, and dynamic multi-form change
such as concept drift and novelty. This course on Learning from Data Streams focuses on recent
techniques and software for real-time processing of data streams. The primary objectives of the course are as follows:
<ul><li> Exposing participants to the fundamentals of Data Stream.</li>
<li> Identifying common patterns and use cases for real time stream processing.</li>
<li> Vast coverage and exposure to various algorithmic techniques such as data stream clustering, ubiquitous data mining, pattern mining, novelty detection with the aim to encourage
participants for future research in this field.</li>
<li> Understand the high level architecture of data streaming tools such as Massive Online Analysis (MOA), Apache Spark and Apache Flink.</li>
<li> Since real time stream processing is having very wider applicability, therefore this course is aimed at the more general audience including mathematician, statistician, and computer
scientists, electrical and electronic engineer.</li> </ul>
<h4 >Past Events </h4>
<p> <b> IEEE CIS Summer School 2019 "Big Data Analytics and Stream Processing:Tools, Techniques and Application"</b> <br>
My Role:Course Coordinator <br>
In today's world, Big data analytics and stream processing have taken great hype due to the digitization of the environment along with the
integration of smart data computing services and interconnectivity. This digitized world offers huge applications especially in the fields of agriculture,
healthcare, smart education, economy, energy, industry, and a lot more. Most of the required data is gathered by the countless number of sensor
devices being applied in the vicinity of humans to identify certain activities or scenarios. In order to process such a huge never-ending stream of data,
there is a need to re-think the way data is processed for both cases i.e. data-at-rest and data-in-motion. In order to have knowledge about the latest trend in
this field, the IEEE CIS Summer School on Big data analytics and stream processing was aimed
at highlighting the tools, techniques, and applications from the perspective of future intensive applications. To serve this purpose, this IEEE CIS Summer
School featured a large number of keynote speakers/plenary/invited talks on advanced topics and also offered a good platform for the participants for the
innovative and entrepreneurial ideas.<a href= "https://bdasp.iiita.ac.in/" target="_blank " style="color:#0000FF; " > See more ....</a> <br>
<p> <b> MISP 2019</b><br>
My Role: Organising Chair <br>
The International Conference on Machine Intelligence and Signal Processing (MISP-2019) was held at Indian Institute of Information Technology,
Allahabad, India, on September 7-10, 2019. This conference was meant for researchers all over the globe interested in the areas of data mining, artificial
intelligence, optimization, machine learning methods/ algorithms, signal processing theory and methods, and applications to human brain disorders
like epilepsy, Alzheimer, sleep disorders etc. Other applications of machine learning and signal processing techniques wered also welcome.
<a href= "https://misp.iiita.ac.in/" target="_blank " style="color:#0000FF; " > See more ....</a> <br>
<p> <b>Special Session on "Non-parallel Support Vector Machine Classifiers" at IEEE SMC 2019, Bari, Italy. </b><br>
My Role: Co-Organiser <br>
This special session aimed to bring together the current research progress (from both academia and
industry) on novel non-parallel support vector machine classifiers to address above mentioned
challenges. Further, this special session also provided insight about other viable alternatives for
researcher (especially from industry) who extensively need classifiers but lack the expertise in using
machine learning techniques effectively. . For more information <a href= "http://smc2019.org/assets/data/ss_rep/SMC19_0055_q16xu.pdf" target="_blank" style="color:#0000FF; ">
click here</a> <br>
<p> Special Session on "Computational intelligence for biomedical data and imaging" in IEEE SSCI 2018)at Bengaluru, India during November 18-21, 2018. <br>
My Role: Co-Organiser <br>
pecial Session on "Computational intelligence for biomedical data and imaging" in IEEE SSCI 2018)at Bengaluru, India during November 18-21, 2018.
This special session aimed to bring together the current research progress (from both
academia and industry) on novel machine learning methods to address the challenges
to biomedical complex data. Special attention also devoted to handle feature
selection, class imbalance, and data fusion in biomedical and machine learning
applications. It was aimed to attract medical experts who have access to interesting sources of
data but lack the expertise in using machine learning techniques effectively. For more information
<a href="http://ieee-ssci2018.org/files/Special%20Session_Proposal_Biomedical-Data_CIIoEt.pdf" target="_blank" style="color:#0000FF; ">
click here </a> <br>
<p>"Real-Time Stream Analytics and Machine Learning for Cyber-Physical Systems (RTSML4CPS)".<br>
My Role: Organiser <br>
This proposed workshop was be hosted in conjunction with the International Conference on Distributed Computing and Networking (ICDCN 2018)
at IIT BHU During January 4-7, 2018. <a href="https://sites.google.com/view/rsm4cps/home" target="_blank style="color:#0000FF; "">click here </a> <br>
<p> GIAN course on "Parallel and Distributed Data Stream Mining", December 18- 22, 2017. <br>
My Role: Course Coordinator and Instructor <br>
Data is being continuously collected from a variety of sensor sources, such as Twitter feeds, news streams, and environmental sensors.
It is a significant challenge to continuously monitor such data and derive insights in a timely manner. This course on
data stream analysis focused on methods and software for deriving patterns and
aggregates from data streams in real-time. The course was focus on (1) Parallel and
distributed methods for data stream mining, (2) Methods for mining from graphical
data, where each stream item represents a relationship between entities.
Objectives<br>
The main objectives of the course were:<br>
<ul><li> Introduce the student to use cases of stream processing, the data stream model and graph stream model</li>
<li> Present algorithmic techniques for graph stream processing, including random
sampling, graph sketches, and merge-and-reduce.</li>
<li> Show their application to problems such as subgraph counting, graph
connectivity, random sampling from graphs, graph matchings, etc</li>
<li> Present current techniques on monitoring parallel and distributed streams,
including algorithms in the continuous distributed monitoring model, and the
parallel streaming model</li>
<li> Provide practical perspective on building software for stream processing</li>
<li> Provide experience with an open source tool, Apache Flink
<br>For more information...
<a href= "http://iiita.ac.in/uploads/Course-Outline520.pdf" target="_blank" style="color:#0000FF; "> click here </a> <br>
</li>
</ul>
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<span class="w3-opacity w3-large p-border">CONTACT</span><br>
Dr. Sonali Agarwal <br>
Associate Professor<br>
Room No.: 5203, CC3 Building <br>
Indian Institute of Information Technology - Allahabad
Devghat, Jhalwa,
Prayagraj(Allahabad) 211015, (UP) INDIA
<br>
Tel : 0532-2922424<br>
Email : sonali@iiita.ac.in<br>
Alt Email : raiagarwalsonali@gmail.com<br>
Website : www.sonaliagarwal.com<br>
Google Scholar: <a href="https://scholar.google.co.in/citations?user=hPvt6d8AAAAJ">https://scholar.google.co.in/citations?user=hPvt6d8AAAAJ</a>
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