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      <title>DaSH Lab - Join Us</title>
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         <h1>Data, Systems and HPC (DaSH) Lab</h1>
         <p class="lead"> BITS Pilani K. K. Birla Goa Campus, India </p>
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                        <li><a href="index.html">Home</a></li>
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               <li><a href="#getting-started">Getting Started</a></li>
               <li><a href="#join-us">Join Us</a></li>
               <!-- <li><a href="#vacancies">Vacancies</a></li> -->
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            <section id="getting-started">
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                  <h3>Getting Started</h3>
                  <p>This section is to help students to understand the basics of systems research happening at DaSH Lab. We will keep updating this list.</p>
               <!-- </div> -->
               <ul>
                  <li><b>CLI, Bash and Vim</b> - If you are new to shell scripting and the command line interface (CLI), we recommend that you go through <a href = "https://missing.csail.mit.edu/">The Missing Semester of Your CS Education</a>.</p></li>
                  <li><b>Operating System</b> - You need to have a good fundamental knowledge of Operating Systems. <a href="https://pages.cs.wisc.edu/~remzi/OSTEP/">Operating System: Three easy pieces</a> is an excellent resource.</p></li>
                  <li><b>File System</b> - Please complete the Persistence module of the OS book.</p></li>
                  <li><b>Distributed System</b> - This <a href="https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A">YouTube playlist</a> by Chris Colohan is a good starting point.</p></li>
                  <li><b>Theory and Principles of Distributed Systems</b> - The <a href="https://www.distributed-systems.net/index.php/books/ds4/">Book by Andrew Tannenbaum and Maarten van Steen</a> is the best.</p></li>
                  <li><b>Basics of Machine Learning</b> - Systems for ML research needs a basic understanding of various ML models. The learning component on <a href="https://www.kaggle.com/learn">Kaggle</a> is a wonderful way to get started.</p></li>
                  <li><b>Federated Learning</b> - Systems for FL needs a basic understanding of FL. Go through <a href="https://federated.withgoogle.com/">this comic strip</a> to understand why Google came up with FL. <a href="https://medium.com/@entrepreneurbilal10/federated-learning-95d7a6435f08">This article</a> shows the step-by-step guide of running your first FL model with the Flower framework.</p></li>
                  <li><b>Blockchain</b> - A good way to get started is to briefly understand the <a href="https://ethereum.org/en/whitepaper/"> Ethereum whitepaper</a> and the <a href="https://bitcoin.org/bitcoin.pdf">bitcoin paper.</a></p></li>
                  <li><b>System Design</b> - There are a few youtube channels that do a good job at explaining system designs. It is always worth going over those to understand large scale system designs. <a href="https://www.youtube.com/@ByteByteGo/videos">ByteByteGo</a>, <a href="https://www.youtube.com/@jordanhasnolife5163/videos">Jordan has no life</a></p></li>
                  <li><b>Database Systems</b> - <a href="https://15721.courses.cs.cmu.edu/spring2024/schedule.html">This course</a> by CMU on Advanced Database Systems will help understand the state of the art and contribute to DaSH Lab projects on databases.</p></li>
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            </section>
            <hr>
            <section id="join-us">
               <h3>Join DaSH Lab</h3>
                  <p>Please note that you are not required to be proficient in all the above domains to get inducted in a research project; expertise in any one is more than sufficient.
                     We are always looking for students who are passionate about learning and exploring new avenues in systems.</p>
                  </br>
               <h4>Undergraduates and Masters at BITS Pilani</h4>
               Each project team in the lab has 2-3 undergraduate, and 1-2 master students. For a sufficient research output, there needs to be a <b>minimum commitment of 1 year</b> to the lab. Students who show great commitment and leadership skills for a project are converted to formal project students (SoP/LoP/DoP/RP) only after 1-2 semesters worth of work.
               For applying to a project in DaSH Lab, follow the steps below.
               <ul>
                  <li>Go through the basics of whichever domain interests you.</li>
                  <li>Check if there is any research project in DaSH Lab that align to your interest from the <a href="research.html">Research</a> page, and talk to the existing lab students.</li>
                  <li>Read any recent publication (after 2016) from the <a href="publications.html">Publications</a> page.</li>
                  <li>We hold induction events whenever there are vacancies in projects (typically once a year). Previous year's induction assignment can be found <a href="https://github.com/DaSH-Lab-CSIS/DaSH-Lab-Induction-Assignment-2025">here.</a></li>
                  <!-- <li>Fill this <a href="https://forms.gle/6KCZYpTUhAo5JtsEA"> Google form</a>.</li>
                  <li>We will review applications on a rolling basis as and when there are vacancies in the lab. If you are shortlisted, you will be contacted.</li>
                  <li>Do not expect replies to emails regarding lab projects and openings.</li> -->
               </ul>

               </br>
               <h4>Prospective Ph.D. students</h4>
               Please go through the research projects and send me an email stating why you want to do a Ph.D. in DaSH Lab, a short research statement, and your CV.
            </section>
            <hr>
            <section id="vacancies">
               <!-- <h3>Vacancies</h3>
               There are requirements for students (prefereably first/second/third year B.E./first year M.E. at BITS Goa) for the following projects/skills. The start date for such students will be September 2, 2024.
               <ul>
                  <li><b>Segment Anything Model (SAM)</b> - Need to create a custom model using SAM on a different dataset.</li>
                  <li><b>MLOPs</b> - Need to build some ML components of FLOPs</li>
                  <li><b>Federated Learning</b> - someone interested in privacy preserving methods</li>
                  <li><b>Federated Learning</b> - someone interested in knowledge distillation</li>
                  <li><b>Blockchain</b> - Need to help in building a Smart Contract parser.</li>
                  <li><b>Blockchain</b> - Need to help in building data provenance system for drones.</li>
                  <li><b>Large Language Model (LLM)</b> - Need to build a custom LLM that can help in placement of files in different mount points.</li>
                  <li><b>Large Language Model (LLM)</b> - Need to build a scheduler for distributed LLM inferencing on a heterogeneous cluster.</li>
                  <li><b>Container</b> - Someone with preferably experience in <b>Go language</b> to help build a version control system for edge based containers</li>
                  <li><b>Mobile App + Raspberry Pi</b> - Need to build a smart box for chemical detection.</li>
                  <li><b>File Systems</b> - Need to profile I/O patterns and design a file placement algorithm for distributed file systems.</li>
                  <li><b>Serverless Computing</b> - Preferably with know-how of docker, pub/sub framework, basic regression models to help build a distributed scheduler for serverless functions.</li>
                  <li><b>Database query engines</b> - Need to help in spill-to-disk implementations of large queries, and build AI functionalities in database query engines.</li>
               </ul>
               <br>
               <h4>Deadlines</h4>
               <ul>
                  <li><b>Application deadline</b>: August 24, 2024</li>
                  <li><b>Shortlisting and Interviews</b>: August 26 - September 1, 2024</li>
                  <li><b>Start Date</b>: September 2, 2024</li>
               </ul> -->
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               <h3>Contact Information</h3>
                  <h5 style="color:white;"><b>Lab Meeting: </b>Tuesdays (6:30 PM - 8:30 PM IST)</h5>
                  <h5 style="color:white;"><b>PI: </b> <a href = "https://arnabkrpaul.github.io/">Arnab K. Paul</a></h5>
                  <h5 style="color:white;"><b>Email 1: </b>dashlab.cs@gmail.com</h5>
                  <h5 style="color:white;"><b>Email 2: </b>arnabp@goa.bits-pilani.ac.in</h5>
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               <h5 style="color:white">D-241, Department of CSIS<br>
                  BITS Pilani K. K. Birla Goa Campus,<br>
                  Sancoale, Goa<br>
                  India - 403726
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