<div dir="ltr"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;color:rgb(0,0,0);white-space:pre-wrap">Dear All,</span><br></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">TL;DR</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">************************</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">This is the 2nd <span class="gmail-il">call</span> for participation for the second edition of the</span><a href="https://semrec.github.io/" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap"> </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">Semantic Reasoning Evaluation Challenge (SemREC)</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> </span><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">collocated with the </span><a href="https://iswc2022.semanticweb.org/" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">21st International Semantic Web Conference</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">. </span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We invite you to make <span class="gmail-il">submissions</span> in the following categories - </span></p><ol style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:decimal;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:10pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontologies - An ontology developed for a real-world application but proved to be a challenge for the existing reasoners. </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> </span><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">We will be evaluating the submitted ontologies based on the time consumed for a reasoning task, such as classification, and the memory consumed during reasoning.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Systems</span></p></li><ol style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:decimal;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">A</span><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">n ontology/RDFS reasoner that uses neural-symbolic techniques for reasoning and optimization. </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> W</span><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">e will evaluate the submitted systems on the test datasets* for scalability (performance evaluation on large and expressive ontologies) and transfer capabilities (ability to reason over ontologies from different domains). </span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">SPARQL query engines </span><span style="background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">(</span><span style="background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">new this year)</span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> that su</span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">pport entailment regimes such as RDF, RDFS, or OWL 2. We expect a detailed description of the system, including an evaluation of the system on the provided datasets.</span></p></li></ol></ol><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(255,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Deadline - 15 August 2022, 23:59 (AOE) </span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">If you have any questions, please <span class="gmail-il">contact</span> me (<a href="mailto:gunjans@iiitd.ac.in" target="_blank">gunjans@iiitd.ac.in</a>).</span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Further details are on the website: </span><a href="https://semrec.github.io/" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://semrec.github.io/</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">.</span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">************************</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Longer version</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">*************************</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Despite the development of several ontology reasoning optimizations, the traditional methods either do not scale well or only cover a subset of OWL 2 language constructs. As an alternative, neuro-symbolic approaches are gaining significant attention. However, the existing methods can not deal with very expressive ontology languages. Other than that, some SPARQL query engines also support reasoning, but their performance also is still limited. To find and improve these performance bottlenecks of the reasoners, we ideally need several real-world ontologies that span the broad spectrum in terms of their size and expressivity. However, that is often not the case. One of the potential reasons for the ontology developers to not build ontologies that vary in terms of size and expressivity is the performance bottleneck of the reasoners. SemREC aims to deal with this chicken and egg problem.</span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">The second edition of this challenge includes the following tasks-</span></p><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Task-1 - Ontologies. <span class="gmail-il">Submit</span> a real-world ontology that is a challenge in terms of the reasoning time or memory consumed during reasoning. We expect a detailed description of the ontology along with the analysis of the reasoning performance, the workarounds if any, that were used to make the ontology less challenging (for example, dropping a few axioms, redesigning the ontology, etc.), and the (potential) applications in which the ontology could be used. We will be evaluating the submitted ontologies based on the time consumed for a reasoning task, such as classification, and the memory consumed during reasoning.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Task-2 - Systems</span></p></li><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:circle;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontology/RDFS Reasoners. <span class="gmail-il">Submit</span> an ontology/RDFS reasoner that uses neural-symbolic techniques for reasoning and optimization. In terms of technique used, the <span class="gmail-il">submissions</span> could fall under any of the below (or related) categories.</span></p></li><ol style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:decimal;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Using learning-based techniques for performance optimization of traditional reasoning algorithms.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Inductive reasoning techniques based on a subsymbolic representation of entities and relations learned through the maximization of an objective function over valid triples.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Techniques that can learn the deductive reasoning aspect using the ontology axioms.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:decimal;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Neural Multi-hop reasoners to deal with reasoning where multi-hop inference is required.</span></p></li></ol></ul></ul><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-left:72pt;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Based on precision and recall, we will evaluate the submitted systems on the test datasets for scalability (performance evaluation on large and expressive ontologies) and transfer capabilities (ability to reason over ontologies from different domains). We expect a detailed description of the system, including an evaluation of the system on the provided datasets.</span></p><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:36pt;list-style-type:circle;color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">SPARQL query engines that support entailment regimes such as RDF, RDFS, or OWL 2. We expect a detailed description of the system, including an evaluation of the system on the provided datasets.</span></p></li></ul><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap"><span class="gmail-il">Submission</span> Details</span></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Participants are requested to make a manuscript <span class="gmail-il">submission</span> describing their entry. </span></p><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:10pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">For Task 1, we expect a detailed description of the ontology along with the analysis of the reasoning performance, and the workarounds, if any, that were used to make the ontology less challenging (for example, dropping a few axioms, redesigning the ontology, etc.), and the (potential) applications in which the ontology could be used.</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:10pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">For Task 2, we expect a detailed description of the system, including evaluating the system on the provided datasets. </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">W</span><span style="color:rgb(33,37,41);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">e will further evaluate the submitted systems on a subset of the test datasets for scalability (performance evaluation on large and expressive ontologies) and transfer capabilities (ability to reason over ontologies from different domains). </span></p></li></ul><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">The <span class="gmail-il">submissions</span> can be either in the form of short <span class="gmail-il">papers</span> of length 5 pages or long <span class="gmail-il">papers</span> of length 10-12 pages. All the <span class="gmail-il">submissions</span> must be in English and follow the 1-column CEUR-ART style </span><a href="https://www.overleaf.com/latex/templates/ceurart-template-for-submissions-to-semrec-challenge/qktzxsbyhsdp" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">(overleaf template)</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">. The proceedings will be published as a volume of </span><a href="http://ceur-ws.org/" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">CEUR-WS</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">. <span class="gmail-il">Submissions</span> should be made in the form of a pdf document on </span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">EasyChair</span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">.</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Website: </span><a href="https://semrec.github.io/" target="_blank" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://semrec.github.io/</span></a></p><br style="font-family:arial,sans-serif"><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">Organizers</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Gunjan Singh, IIIT-Delhi, India.</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Raghava Mutharaju, IIIT-Delhi, India.</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Pavan Kapanipathi, IBM T.J. Watson Research Center, USA.</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Best regards,</span></p><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Gunjan</span></p><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><font color="#000000">Thanks and Regards</font></div><div><font color="#000000"><br></font></div><div><font color="#000000">Gunjan Singh</font></div><font color="#000000">Ph. D Student, <a href="https://kracr.iiitd.edu.in/" target="_blank">KRaCR Lab</a>, <a href="https://cse.iiitd.ac.in/" target="_blank">IIIT-Delhi</a>, India</font><div><font color="#000000">IBM Research Fellow</font></div><div><font color="#000000"><br></font></div><div><font color="#000000">Homepage - <a href="https://gunjansingh1.github.io/" target="_blank">https://gunjansingh1.github.io/</a></font></div></div></div></div>