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<!-- MODIFIED HEADER FOR TWO-ROW LAYOUT -->
<header class="main-header">
<!-- Top Row: Title -->
<div class="site-title-header">
<div class="title">Physics+AI</div>
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<ul class="nav-links">
<li><a href="#highlight" class="nav-link active">Home</a></li>
<li><a href="#research" class="nav-link">Research</a></li>
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<li><a href="#about" class="nav-link">About</a></li>
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<!-- NEW PAGES ADDED HERE -->
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<div class="container">
<!-- 1. Highlight Page -->
<div id="highlight" class="page-content active">
<img src="cover1.png" alt="Highlight cover image" style="width: 100%; aspect-ratio: 21 / 9; object-fit: cover; margin-bottom: 20px; border-radius: 6px;">
<h2> Hello World !</h2>
<p>We are a group of creative researchers exploring physics at the interface of artificial intelligence, working in a deeply collaborative and interdisciplinary setting. Our goal is to understand complex systems and to see how modern computational approaches, especially deep learning, can contribute to solutions for societal good. Our main research interests include:</p>
<ul>
<li><b>Collective Intelligence in Natural and Artificial Systems:</b> How do large groups of individual agents—be they birds in a flock, cells in a tissue, or robots in a swarm—coordinate to achieve complex, group-level goals? We explore the physical principles behind this emergent intelligence, studying how local rules and interactions give rise to sophisticated collective behaviors in both living and engineered systems.</li>
<li><b>Physics of Living Matter:</b> We view biological tissues as a form of active matter. We study the collective migration and self-organization of cells to better understand fundamental processes like wound healing, tissue development, and morphogenesis. By creating computational models that capture the interplay between cellular forces and signaling, we hope to contribute insights that could one day aid in regenerative medicine.</li>
<li><b>Mechanics of Disordered Materials:</b> Materials like glasses and granular packings lack a perfect crystal structure, which makes predicting their behavior, particularly failure, a difficult challenge. We investigate the fundamental mechanics of these systems, applying machine learning techniques to identify subtle structural precursors to failure. Our goal is to contribute to a more predictive science of materials, which is essential for designing more resilient and safer structures.</li>
<li><b>AI as a Tool for Scientific Discovery:</b> A common thread through all our research is the use of deep learning not just for prediction, but as a tool for gaining fundamental insight. We are committed to developing simple models by machine intelligence (MI). We aim to uncover the underlying physical principles our models have learned, helping us to formulate new hypotheses and deepen our understanding of the complex natural systems we study.</li>
</ul>
<p>We thrive on a close partnership with experimentalists and other theorists, creating a dynamic environment for learning and discovery.</p>
<div class="section">
<h3>🌟 Highlights</h3>
<ul>
<li><strong>Research Interests:</strong> Investigating the dynamics of natural and artificial complex systems, with a focus on out-of-equilibrium soft, glassy, and active matter.</li>
<li><strong>Physics at the Interface of AI:</strong> By training models from physical systems, we integrate fundamental physical laws into novel AI models. This involves using high-performance computing and explainable AI to decode molecular information processing, predict material failure, and attempts to understand emergent behaviors in living and artificial systems.</li>
<li><strong>Teaching and Mentoring:</strong> Engaged in teaching courses such as Mathematics for AI and Intelligent Systems, and mentoring research interns and graduate students.</li>
</ul>
</div>
<div class="section">
<h2>🌟 Join Us </h2>
<div class="advertisement">
<h1>Join Us to Innovate</h1>
<p> We are seeking creative individuals to join our lab to co-create the future.</p>
<p>Whether you are an established researcher, a budding scientist, or a creative force eager to collaborate, we have a place for you. We are actively seeking passionate individuals for:</p>
<div class="opportunities">
<div class="opportunity">Collaborative Projects</div>
<div class="opportunity">Internship Opportunities</div>
<div class="opportunity">PhD Positions</div>
<div class="opportunity">Postdoctoral Fellowships</div>
</div>
<p>Find your chance to work on projects that matter, surrounded by a team to pushing the boundaries of what's possible. We believe in the power of diversity and the magic that happens when generative minds connect.</p>
<div class="call-to-action">
<h2>Ready to answer the call?</h2>
<p>We want to hear from you: your vision and plans with us.<br>Email your one-page CV, a well supported SOP</p>
<a href="mailto:sumandutta.avvcb@gmail.com" class="email-link">Submit</a>
</div>
<p class="footer-text">Let's build the future together.</p>
</div>
<img src="joinus.png" alt="Join Us Graphic" style="width: 100%; margin-top: 20px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0,0,0,0.1);">
</div>
</div>
<!-- 2. Research Page -->
<div id="research" class="page-content">
<h2>🔬 Research Interests & Competencies</h2>
<div class="section">
<h3>Research Expertise</h3>
<ul>
<li><strong>Domain Expertise:</strong> Collective Intelligence in Living and Artificial Systems, Physics of Complex Fluids, Soft Condensed Matter. </li>
<li><strong>Core Competencies:</strong> Creative Research, Out-of-Equilibrium Statistical Physics, Machine Learning Order Disorder.</li>
</ul>
</div>
<div style="display: flex; width: 100%; aspect-ratio: 32 / 9; overflow: hidden; margin-bottom: 20px; border-radius: 6px;">
<img src="Intro.gif" alt="First highlight cover image" style="width: 50%; height: 100%; object-fit: cover;">
<img src="Intro2.gif" alt="Second highlight cover image" style="width: 50%; height: 100%; object-fit: cover;">
</div>
<div class="section">
<h3>Key Research Areas</h3>
<ul>
<li class="research-area-item"><strong>Soft, Glassy, Active & Adaptable Matter</strong></li>
<li class="research-area-item"><strong>Physics of Flow, Glass & Living Machines</strong></li>
<li class="research-area-item"><strong>Material Failure and Molecular Information Processing</strong></li>
<li class="research-area-item"><strong>Mechanobiology, Catastrophe Science, Emergent Intelligence</strong></li>
</ul>
</div>
<div class="section">
<h3>Extensive Experience in</h3>
<ul>
<li>Soft Condensed Matter</li>
<li>High Performance Computing (Molecular Simulations)</li>
</ul>
</div>
<div class="section">
<h3>Research within the Group</h3>
<p>We perform extensive computer simulations, harnessing the power of High-Performance Computing (HPC), alongside statistical methods. Our aim is to develop and deploy data-driven yet inherently explainable techniques. These methods are meticulously designed to systematically investigate the intricate complex processes that drive autonomous organization and the phenomena of failure in both living and artificial systems. Our approach bridges the gap between complex data analysis and fundamental scientific understanding, ensuring our findings are not only predictive but also interpretable.</p>
<p>Our research endeavors delve into several key directions, offering a comprehensive exploration of complex systems:</p>
<ul>
<li><strong>Molecular Information Processing:</strong> We meticulously decode how molecular systems store, manipulate, and relay information. This involves unraveling the fundamental principles that govern adaptive behaviors observed in both natural biological networks and synthetic molecular constructs. By understanding these intricate mechanisms, we aim to engineer more sophisticated and responsive artificial systems.</li>
<li><strong>Cellular Migration and Turbulence:</strong> We investigate the often chaotic and dynamic patterns exhibited by migrating cells. This research focuses on understanding their collective dynamics during critical biological processes such as tissue formation, repair, and in cases of failure. By analyzing these complex movements, we gain insights into emergent behaviors and the underlying physical constraints.</li>
<li><strong>Failure and Jamming of Amorphous Systems:</strong> A significant area of our work explores the transitions of disordered materials between fluid-like and rigid states. We aim to develop predictive models that can accurately forecast their resilience, pinpoint critical points of failure, and understand the jamming phenomena that can lead to material collapse.</li>
<li><strong>Predicting Vulnerability and Avalanches:</strong> We develop models that capture the dynamics of critical cascades—phenomena ranging from natural avalanches to the interconnectedness of economic societies. Our goal is to forecast the likelihood and potential impact of systemic failures, thereby enabling proactive mitigation strategies.</li>
<li><strong>Autonomous and Critical Phenomena in Living and Artificial Systems:</strong> We are deeply interested in the emergence of self-organized behaviors in systems poised at critical thresholds. By studying these systems, we aim to uncover the delicate balance between stability and adaptability, and how these seemingly opposing forces coexist to drive complex system evolution.</li>
<li><strong>Generative Physical Intelligence:</strong> We are pioneering the development of novel generative models that are deeply integrated with the fundamental laws of physics. This research aims to create AI systems capable of not only predicting but also generating physically plausible dynamics and structures. By teaching models the principles of statistical mechanics and emergent phenomena, we seek to build intelligent agents that can autonomously discover new materials, understand system failures, and generate innovative solutions to a complex physical challenges.</li>
</ul>
</div>
</div>
<!-- UPDATED: Publication Page - Grouped by Year -->
<div id="publication" class="page-content">
<h2>📚 Publications</h2>
<div class="section">
<h3>2025</h3>
<div class="publication-item">
<p class="citation">S. Santra, L. Touzo, C. Dasgupta, A. Dhar, <u>S. Dutta</u>, A. Kundu, P. Le Doussal, G. Schehr & P. Singh, <em>Crystal to liquid cross-over in the active Calogero-Moser model</em>, J. Stat. Mech. 033203 (2025) [<a href="https://iopscience.iop.org/article/10.1088/1742-5468/adbb5d" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Contributing author</u></p>
</div>
<div class="publication-item">
<p class="citation">V. Vaibhav, T. Das & <u>S. Dutta</u>*, <em>Persistently Non-Gaussian Metastable Liquids</em>, arXiv:2511.07951 (2025) [<a href="https://arxiv.org/abs/2511.07951" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Corresponding author</u></p>
</div>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>*, P. Chaudhuri, M. Rao & C. Dasgupta, <em>Activity-driven sorting, approach to criticality and turbulent flows in dense persistent active fluids</em>, arXiv:2509.00376 (2025) [<a href="https://arxiv.org/abs/2509.00376" target="_blank" rel="noopener noreferrer">LINK</a>] </p>
<p><strong>Contribution:</strong> <u>First and Corresponding author</u></p>
</div>
<h3>2024</h3>
<div class="publication-item">
<p class="citation">V. Vaibhav & <u>S. Dutta</u>*, <em>Entropic timescales of Dynamic Heterogeneity in Supercooled Liquid</em>, Phys. Rev. E (Lett.), <strong>109</strong>, L062102 (2024) [<a href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.109.L062102" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Corresponding author</u></p>
</div>
<h3>2023</h3>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>, K. Martens & P. Chaudhuri, <em>Creep response of athermal amorphous solids under imposed shear stress</em>, arXiv:2303.04718 (2023) [<a href="https://arxiv.org/abs/2303.04718" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>First author</u></p>
</div>
<h3>2021</h3>
<div class="publication-item">
<p class="citation">C. Liu, <u>S. Dutta</u>, P. Chaudhuri & K. Martens, <em>Elastoplastic approach based on microscopic insights for the steady state and transient dynamics of sheared disordered solids</em>, Phys. Rev. Lett., <strong>126</strong>, 138005 (2021) [<a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.138005" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Joint first author</u></p>
</div>
<h3>2020</h3>
<div class="publication-item">
<p class="citation">R. Dandekar, S. Bose & <u>S. Dutta</u>*, <em>Non-Gaussian information of heterogeneity in soft matter</em>, Europhys. Lett., <strong>131</strong>, 18002 (2020) [<a href="https://iopscience.iop.org/article/10.1209/0295-5075/131/18002/meta" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Corresponding author</u></p>
</div>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>* & J. Chakrabarti, <em>Length-scales of dynamic heterogeneity in a driven binary colloid</em>, Phys. Chem. Chem. Phys., <strong>22</strong>, 17731 (2020) [<a href="https://pubs.rsc.org/en/content/articlelanding/2020/cp/d0cp02703k/unauth" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>First and Corresponding author</u></p>
</div>
<h3>2019</h3>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>*, <em>Microscopic insights into dynamical heterogeneity in a lane forming colloid</em>, Chem. Phys., <strong>522</strong>, 256 (2019) [<a href="https://www.sciencedirect.com/science/article/pii/S0301010418311510" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Solo author</u></p>
</div>
<h3>2018</h3>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>* & J. Chakrabarti, <em>Transient dynamical responses of a charged binary colloid in an electric field</em>, Soft Matter, <strong>14</strong>, 4477 (2018) [<a href="https://pubs.rsc.org/en/content/articlehtml/2018/sm/c7sm02552a" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>First and Corresponding author</u></p>
</div>
<h3>2016</h3>
<div class="publication-item">
<p class="citation"><u>S. Dutta</u>* & J. Chakrabarti, <em>Anomalous dynamical responses in a driven system</em>, Europhys. Lett., <strong>116</strong>, 38001 (2016) [<a href="https://iopscience.iop.org/article/10.1209/0295-5075/116/38001/meta" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>First author</u></p>
</div>
<h3>2015</h3>
<div class="publication-item">
<p class="citation">J. Chakrabarti & <u>S. Dutta</u>, <em>Analytical form of forces in hydrophobic collapse</em>, Chem. Phys. Lett., 620, <strong>109</strong> (2015) [<a href="https://www.sciencedirect.com/science/article/pii/S0009261414010483" target="_blank" rel="noopener noreferrer">LINK</a>]</p>
<p><strong>Contribution:</strong> <u>Second author</u></p>
</div>
</div>
</div>
<!-- 3. Teaching Page -->
<div id="teaching" class="page-content">
<h2>💡 Teaching & Mentoring</h2>
<div class="section">
<h3>Courses Taught</h3>
<ul>
<li>Mathematics for Intelligent Systems, 23MAT106, First Semester, B. Tech (AI and Data Science Core), School of Artificial Intelligence, Amrita Vishwa Vidyapeetham (Fall, 2025) .</li>
<li>Mathematics for AI, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bootcamp (AI & Data Science Core) .</li>
<li>Research Methodology: S. N. Bose National Centre for Basic Sciences.</li>
</ul>
</div>
<div class="section">
<h3>Mentoring Experience</h3>
<ul>
<li>Research Intern: A. Jagdish, School of Physical Sciences, Amrita Vishwa Vidyapeetham (06/2025 onwards)</li>
<li>Student Collaborators: A. Harish, A. Venkatraman, Department of Mathematics, Amrita Vishwa Vidyapeetham (06/2025 onwards)</li>
<li>Masters Thesis Co-supervision: Magnus Olsen, Understanding Non-Newtonian Materials (Supervisor: R. Cabriolu, Norwegian University of Science and Technology (since 08/2025)</li>
</ul>
</div>
</div>
<!-- 4. About Me Page -->
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<h2>Group Leader</h2>
<div class="profile-header section">
<img src="Image_PPic.png" alt="Profile Picture" class="profile-picture">
<div class="header-text">
<h1>Suman Dutta</h1>
<p>Researcher | Intelligent Living & Artificial Systems</p>
</div>
</div>
<h2> About Me</h2>
<p>I am a <strong>Creative</strong> researcher in the field of <strong>Intelligent Complex Systems</strong>, with a specialization in <strong>out-of-equilibrium Complex Fluids</strong>. I investigate model dynamics of <strong>Natural and Artificial Systems</strong>, combining <strong>Statistical Physics</strong>, <strong>High Performance Computing </strong> and <strong>Machine Intelligence</strong>, with an aim to develop strategies for <strong>Generative Physical Systems</strong>.</p>
<div class="section">
<h3>🎓 Professional Journey</h3>
<h4>Present Affiliation</h4>
<p><strong>Faculty Member, Department of Artificial Intelligence</strong><br>School of AI, Amrita Vishwa Vidyapeetham, Coimbatore HQ<br>Joint Coordinator (Academic), B.Tech Programme (AI-Quantum Technology) <span class="date">(Since 03/2025)</span></p>
<h4>Professional Research Experience</h4>
<ul>
<li><strong>Post Doctoral Fellow</strong> (01/2024 – 09/2024)<br>Simons Centre for the Study of Living Machines, National Centre for Biological Sciences - Tata Institute of Fundamental Research, Bangalore (Advisor: M. Rao)</li>
<li><strong>Post Doctoral Fellow</strong> (01/2021 – 12/2023)<br>International Centre for Theoretical Sciences - Tata Institute of Fundamental Research, Bangalore (Advisor: C. Dasgupta)</li>
<li><strong>Post Doctoral Fellow</strong> (02/2018 – 12/2020)<br>The Institute of Mathematical Sciences, Chennai (Advisor: P. Chaudhuri, in collaboration with K. Martens)</li>
</ul>
<h4>Visiting Researcher Experience</h4>
<ul>
<li>Fluvial Mechanics Laboratory Indian Statistical Institute (Kolkata, IN) </li>
<li>Department of Physics Indian Institute of Science (Bangalore, IN) </li>
<li>Department of Physics Indian Institute of Science Education and Research (Bhopal, IN) </li>
<li>Laboratoire Interdisciplinaire de Physique Universit´e Grenoble Alpes (Grenoble, FR) </li>
<li>Institut f¨ur Theoretische Physik II - Soft Matter Heinrich-Heine-Universit¨at (D¨usseldorf, DE) </li>
</ul>
<h4>Education</h4>
<ul>
<li><strong>Ph.D in Physics</strong> (08/2012 – 01/2018)<br>Department of Chemical, Biological and Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata (Degree awarded by University of Calcutta) <br><em>Thesis:</em> Numerical Studies on the Dynamics of Soft Matter Systems (Advisor: J. Chakrabarti)</li>
<li><strong>M.Sc in Physical Sciences</strong> (08/2010 – 07/2012)<br>S. N. Bose National Centre for Basic Sciences (Degree awarded by West Bengal University of Technology, Kolkata)</li>
</ul>
</div>
<h2>📫 Connect</h2>
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<a href="mailto:sumandutta.snbncbs@gmail.com"><img src="https://img.shields.io/badge/Email-red?style=flat-square&logo=gmail&logoColor=white" alt="Email"></a>
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<a href="https://github.com/sd3ph"><img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub"></a>
<a href="https://www.linkedin.com/in/sd3ph/"><img src="https://img.shields.io/badge/LinkedIn-0A66C2?style=flat-square&logo=linkedin&logoColor=white" alt="LinkedIn"></a>
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<!-- Latest News Page -->
<div id="latest" class="page-content">
<h2>✨ Latest News</h2>
<div class="section">
<div class="timeline">
<div class="timeline-item"><h3 class="timeline-month">September 2025</h3><div class="timeline-content" style="margin-bottom: 15px;"><strong>September 24: Archit Selected for the flagship Biophysical Meeting at ICTS-TIFR Program</strong><p>Archit has been selected for on-campus participation in the flagship- international meeting "Spatial Organization of Biological Functions", organized by the Biophysical Society, at ICTS-TIFR, scheduled for October 20-25. He will also present a poster on his work, "Learning Micro-Flocking Dynamics in Living Machines by Hybrid Machine Intelligence."</p></div><div class="timeline-content" style="margin-bottom: 15px;"><strong>September 22: Agnevesh’s Research Tenure Extended</strong><p>We are pleased to announce that Agnevesh's research tenure has been extended for an additional three months following a positive recommendation from a review panel.</p></div><div class="timeline-content" style="margin-bottom: 15px;"><strong>September 15: ANRF Grant Proposal Advances</strong><p>Our grant proposal, titled "Learning Order-Disorder by Machine Intelligence," has been successfully accepted for technical evaluation.</p></div></div>
<div class="timeline-item"><h3 class="timeline-month">August 2025</h3><div class="timeline-content" style="margin-bottom: 15px;"><strong>August 30: New Preprint on Dense Persistent Active Fluids</strong><p>Our latest preprint, "Activity-driven sorting, approach to criticality and turbulent flows in dense persistent active fluids," is now available on arXiv. This collaborative work can be accessed at: <a href="https://arxiv.org/abs/2509.00376" target="_blank">arXiv:2509.00376</a>.</p></div><div class="timeline-content"><strong>August 4-15: Agnevesh Participates in ICTS-TIFR Flagship School</strong><p>Congratulations to our intern, Agnevesh, for his selection to participate in the prestigious flagship school "Data Science: Probabilistic and Optimization Methods II", held online by ICTS-TIFR.</p></div></div>
<div class="timeline-item"><h3 class="timeline-month">July 2025</h3><div class="timeline-content"><strong>July 12: Archit to Present at ICAMGT – 2025</strong><p>Congratulations to our student collaborator, Archit, whose research on "Machine Learning Material Heterogeneity at Micro-scale" has been accepted for an oral presentation at the International Conference on Advanced Materials and Green Technology (ICAMGT – 2025).</p></div></div>
<div class="timeline-item"><h3 class="timeline-month">June 2025</h3><div class="timeline-content"><strong>June 2: Manuscript Submitted to Annalen der Physik</strong><p>A new manuscript titled "Persistently Non-Gaussian Metastable Liquids" was submitted to *Annalen der Physik*.</p></div></div>
<div class="timeline-item"><h3 class="timeline-month">May – June 2025</h3><div class="timeline-content"><strong>May 28: Research Visit to ISI-Kolkata</strong><p>Suman made a research visit to the Fluvial Mechanics Laboratory at the Indian Statistical Institute (ISI), Kolkata.</p></div></div>
<div class="timeline-item"><h3 class="timeline-month">March 2025</h3><div class="timeline-content"><strong>March 24: Joined Amrita Vishwa Vidyapeetham</strong><p>Dr. Suman Dutta commenced his appointment as Assistant Professor (Sr. Gd.) at the School of AI, Amrita Vishwa Vidyapeetham, Coimbatore.</p></div></div>
</div>
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<h2><span style="vertical-align: middle;">🧑🏫</span> Live Class Room</h2>
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<h3>🔒 Access Restricted</h3>
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<h3>Course Details</h3>
<ul>
<li><strong>Class:</strong> BTech AID</li>
<li><strong>Semester:</strong> Fall, 2025 </li>
<li><strong>Course Code:</strong> 23MAT106</li>
</ul>
</div>
<div class="section">
<!-- Updated the header to reflect the content -->
<h3>Combined Weekly Schedule</h3>
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<p style="font-weight: bold; font-family: sans-serif; margin-bottom: 5px;">BTech (AID)</p>
<p style="font-size: 1.1em; font-style: italic; font-family: sans-serif; margin-top: 0;">Mathematics for Intelligent Systems - I - 23MAT106, School of AI, Amrita Vishwa Vidyapeetham</p>
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<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Time Slot</th>
<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Monday</th>
<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Tuesday</th>
<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Wednesday</th>
<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Thursday</th>
<th style="padding: 10px; border: 1px solid #ccc; font-weight: bold;">Friday</th>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">08:00 - 08:50</td>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">08:50 - 09:40</td>
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<td style="padding: 10px; border: 1px solid #ccc;">
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<span style="background-color: #D6EAF8; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section A</span>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">09:40 - 10:30</td>
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<span style="background-color: #FDEDEC; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section B</span>
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<span style="background-color: #D6EAF8; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section A</span>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">10:30 - 10:45</td>
<td colspan="5" style="background-color: #e0e0e0; font-style: italic; padding: 10px; border: 1px solid #ccc;">Break</td>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">10:45 - 11:35</td>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">11:35 - 12:25</td>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">12:25 - 01:15</td>
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<span style="background-color: #D6EAF8; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section A</span>
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<span style="background-color: #FDEDEC; padding: 5px 10px; border-radius: 2px; display: inline-block;">Project (Sec B)</span>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">01:15 - 02:05</td>
<td colspan="5" style="background-color: #e0e0e0; font-style: italic; padding: 10px; border: 1px solid #ccc;">Lunch Break</td>
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<span style="background-color: #FDEDEC; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section B (Lab)</span>
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<span style="background-color: #D6EAF8; padding: 5px 10px; border-radius: 2px; display: inline-block;">Section A (Lab)</span>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">03:45 - 04:35</td>
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<span style="background-color: #D6EAF8; padding: 5px 10px; border-radius: 2px; display: inline-block;">Project (Sec A)</span>
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<td style="font-weight: bold; padding: 10px; border: 1px solid #ccc;">04:35 - 06:15</td>
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<span style="background-color: #D6EAF8; display: inline-block; width: 25px; height: 10px; border-radius: 2px; margin-right: 5px; vertical-align: middle;"></span>
Section A, LH 310
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<span style="background-color: #FDEDEC; display: inline-block; width: 25px; height: 10px; border-radius: 2px; margin-right: 5px; vertical-align: middle;"></span>
Section B, LH 314
</div>
</div>
</div>
</div>
<div class="section">
<h3>Syllabus</h3>
<dl>
<dt>Unit 1</dt>
<dd>Basics of Linear Algebra - Linear Dependence and independence of vectors - Gaussian Elimination - Rank of set of vectors forming a matrix - Vector space and Basis set for a Vector space – Dot product and Orthogonality - CR decomposition - Rotation matrices - Eigenvalues and Eigenvectors and its interpretation - Introduction to SVD. Computational experiments using Matlab/Excel/Simulink.</dd>
<dt>Unit 2</dt>
<dd>Ordinary Linear differential equations, formulation - concept of slope, velocity and acceleration - analytical and numerical solutions - Impulse Response computations - converting higher order into first order equations - examples of ODE modelling in falling objects, satellite and planetary motion, Electrical and mechanical systems – Introduction to solving simple differential equations with Simulink - Introduction to one variable optimization - Taylor series. Computational experiments using Matlab /Excel/Simulink.</dd>
<dt>Unit 3</dt>
<dd>Introduction to random variables (continuous and discrete), mean, standard deviation, variance, sum of independent random variable, convolution, sum of convolution integral, probability distributions.</dd>
<dt>Unit 4</dt>
<dd>Introduction to quantum computing, Quantum Computing Roadmap, Quantum Mission in India, A Brief Introduction to Applications of Quantum computers, Quantum Computing Basics, Bracket Notation, Inner product, outer product, concept of state.</dd>
</dl>
</div>
<div class="section">
<h3>Lecture Notes</h3>
<ul>
<li><a href="https://drive.google.com/file/d/1iQD5Idz2AqHFS5tHxHp9FYU0DpuDQ2t2/view?usp=sharing">Lecture 01: Introduction to Linear Algebra for AI (06/08/2025)</a> - (LH 310/314)</li>
<li><a href="https://drive.google.com/file/d/1QxHKnfaHpDvrX1Q6f9Q9I8hQ8eetbBaU/view?usp=sharing">Lecture 02: Pseudoinverse in Action: Left and Right Inverses (08/08/2025)</a> - (LH 310/314)</li>
<li><a href="https://drive.google.com/file/d/1tWhlRsK2VE4cyas4OhLAwnjNwyOfuxrR/view?usp=sharing">Lecture 03: Pseudoinverse : Guide to your first AI application (11/08/2025)</a> - (LH 310/314)</li>
<li><a href="https://drive.google.com/file/d/1xMa106_qIavA7vq0Un-bNcqrSbn4ItBr/view?usp=sharing">Lecture 04: Complex Data Processing (13/08/2025)</a> - (LH 310/314)</li>
<li><a href="https://drive.google.com/file/d/1Cex5xgXujKA76VS8t02WuPzfFm4i7vMf/view?usp=sharing">Lecture 05-06: Introduction to Advanced Optimization and Physics-Informed Approaches(18/8/2025)</a> - (LH 310/314)</li>
<li><a href="https://drive.google.com/file/d/1rwP78U60kntlpxxYTe5jD12t332jRt1s/view?usp=sharing"
Lecture 07: The Linear Algebra Behind Large Language Models and Generative AI (21/08/20255) - (LH 310/314)
<a href="https://drive.google.com/file/d/1MkGZUF9IKAIYxBv7noBz9B3FnrgaPJc5/view?usp=sharing" Lecture 08-10: The Physics behind the Data: Unveiling the Symmetries and Principal Axes of Transformations (1-5/09/20255) - (LH 310/314) Lecture 11-12: Introduction to Ordinary Differential Equations (8-10/9/2025) - (LH 310/314) Lecture 13-15:Impulse Response and Convolution(10-13/09/2025) - (LH 310/314) Lecture S1: An Introduction to Python for Linear Algebra(17/09/2025) - (LH 310/314) Lecture 16-17: Modeling Falling Objects, Satellites, and Planetary Motion (3-4/10/2025)) - (LH 310/314) Lecture 18: Ordinary Differential Equations (6/10/2025)) - (LH 310/314) Lecture 19: Complex RLC Circuit Analysis (8/10/2025)) - (LH 310/314) Lecture 20-21: Solving Ordinary Differential Equations in Python with SciPy (8/10/2025) - (LH 310/314) Lecture 22: Numerical Solution of ODEs (11/10/2025)) - (LH 310/314) Lecture 23-26: Probability and Random Variables (24/10/2025) - (LH 310/314) Hybrid Lecture-1: Buidling your first AI model (5/11/2025) - (LH 15/16) Hybrid Lecture-2: Building your second AI model (6/11/2025) - (LH 15/16) Hybrid Lecture-3: Polynomial Regression via Design Matrix Modification (7/11/2025)) - (LH 15/16) Hybrid Lecture-4: Finding the Pseudoinverse via CR Decomposition (11/11/2025) - (LH 15/16) Hybrid Lecture-5: Application of Singular Value Decomposition(SVD) (12/11/2025) - (LH 15/16) Hybrid Lecture-6: Application of Singular Value Decomposition(SVD) and Stochastic Analysis (14/11/2025) - (LH 15/16) Summary and Revision Unit-I-II-III (Theory) (17/11/2025) - (LH 15/16) Summary and Revision Unit-I-II-III (Coding) (19/11/2025) - (LH 15/16) SmartLab1: Linear Regression on the Edge (27/11/2025) - (LH 15/16) Lecture 27: Introduction to Quantum Computing (28/11/2025) - (LH 15/16) Lecture 28-30: Introduction to Quantum Computing (Extended) (29/11/2025) - (LH 15/16)
</ul>
</div>
<div class="section">
<h3>Topical Project</h3>
<ul>
<li><a href="https://drive.google.com/file/d/1IOj-HEMt-HTjfKBQ2hVYEeZsmK0qXuQg/view?usp=sharing">Project: Obtaining Computer Glassy States by Instantaneous Quench </a> - (Deadline: 5 Dec, 2025)</li>
<li><a href="https://drive.google.com/file/d/1IOj-HEMt-HTjfKBQ2hVYEeZsmK0qXuQg/view?usp=sharing"> Review Guidelines and Submission Format</a> - (To be Updated soon)</li>
</ul>
</div>
<div class="section">
<h3>Assignments</h3>
<ul>
<li><a href="https://drive.google.com/file/d/1rkGgMks5BO0PGgv5f-wHzubaMnZHBIxF/view?usp=sharing">Assignment 1: Linear Algebra and ML </a> - (Due: 18/08/2025)</li>
<li><a href="https://drive.google.com/file/d/1yReUaF3pPoDgymTmBLUbRtqrZP40dzlW/view?usp=sharing">Assignment 2: Differential Equations and Modeling</a> - (Due: 11/10/2025)</li>
</ul>
</div>
</div>
</div>
<!-- UPDATED: Lab Products Page -->
<div id="products" class="page-content">
<h2><span style="vertical-align: middle;">🧪</span> Lab Products</h2>
<div class="section">
<h3><span style="vertical-align: middle;">🤖</span> Aadri 2.0: Conversational AI for Customary Profiles</h3>
<h4>AADRI – An Intelligent Conversational AI for Academic Profiles (v2.0)</h4>
<h4>🔹 Team</h4>
<ul>
<li><strong>Lead Developer:</strong> Dr. Suman Dutta, School of AI, Amrita Vishwa Vidyapeetham</li>
<li><strong>Quality Testing:</strong> BTech AID (Core) students</li>
<li><strong>Consultants & Reviewers:</strong> Experts from TCS, Cognizant, and University of Luxembourg</li>
</ul>
<h4>🔹 Project Synopsis</h4>
<p> AI system engineered for the interactive presentation of academic profiles. Utilizing the Google Gemini engine and Retrieval-Augmented Generation (RAG) architecture, it transforms static information base into dynamic, query-driven user experiences. The platform ensures heightened accuracy, engagement, and personalization in professional digital self-presentation.</p>
<h4>🔹 Colloquial Abstract</h4>
<p>Aadri can be conceptualized as an intelligent assistant that articulates your academic contributions with the fluency of an informed colleague. Rather than navigating a conventional, static document, users engage through direct inquiry, receiving precise and user-centric responses. It functions as a personalized navigational tool for one's research portfolio, pedagogical experience, and professional accomplishments.</p>
<h4>🔹 Purpose</h4>
<ul>
<li>To make academic profiles interactive, accessible, and engaging.</li>
<li>To help users (students, collaborators, institutions) explore a researcher’s work through natural conversation.</li>
<li>To set a new standard for how academics present themselves digitally.</li>
</ul>
<h4>🔹 Mobile Demonstration <span style="vertical-align: middle;">📱</span></h4>
<p>Evaluate the application's real-time conversational capabilities on the go: <a href="https://aadri-chatbot-v-2-0-released-version-774248093245.us-west1.run.app" style="text-decoration: none; color: #007BFF; font-weight: bold; border-bottom: 2px solid #007BFF; padding-bottom: 2px;">Test Aadri 2.0 Live</a></p>
</div>
<div class="section">
<h3><span style="vertical-align: middle;">📝</span> AtoGRAD: OMR Solutions for Class-based Tests</h3>
<p>AtoGRAD is an innovative Optical Mark Recognition (OMR) solution designed to streamline and automate the grading process for classroom-based tests. More details coming soon!</p>
<h4>🔹 Team</h4>
<p>To be announced.</p>
<h4>🔹 Abstract</h4>
<p>Details about the technology and application will be available shortly.</p>
<h4>🔹 Purpose</h4>
<ul>
<li>To provide a fast, accurate, and cost-effective OMR solution for educators.</li>
<li>To reduce the manual effort and time spent on grading multiple-choice exams.</li>
<li>To offer instant analytics and performance reports for students and instructors.</li>
</ul>
</div>
</div>
<!-- miscellaneous Page -->
<div id="misc" class="page-content">
<h2>🤝 Research Collaborators</h2>
<div class="section">
<div class="collaborator-item"><div class="collaborator-info"><strong>Jaydeb Chakrabarti</strong><br>(Senior Professor, S N Bose National Centre for Basic Sciences, Kolkata, IN)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Pinaki Chaudhuri</strong><br>(Professor, The Institute of Mathematical Sciences, Chennai, IN)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Kirsten Martens</strong><br>(CNRS Researcher, University of Grenoble Alpes, Grenoble, FR)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Chandan Dasgupta</strong><br>(Honorary Professor, Indian Institute of Sciences, Bengaluru, IN)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Madan Rao</strong><br>(Senior Professor, National Centre for Biological Sciences -TIFR, Bengaluru, IN)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Vinay Vaibhav</strong><br>(Post Doctoral Fellow, University of Goettingen, DE)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Raffaela Cabriolu</strong><br>(Associate Professor, Norwegian University of Science and Technology, NO)</div></div>
<div class="collaborator-item"><div class="collaborator-info"><strong>Tamoghna Kanti Das</strong><br>(Assistant Professor, WPA-NanoLSI - Kanazawa University, JP)</div></div>
</div>
<h2>🏆 Awards & Recognition</h2>
<div class="section">
<ul>
<li><strong>Best Oral Presenter</strong> at the Condensed Matter and Statistical Physics Symposium, Presidency University (August 2024).</li>
<li><strong>Visiting Research Grant</strong> from the Indo-French Centre for the Promotion of Advanced Research (IFC-PAR/CEFIPRA) (2019, 2018).</li>
<li><strong>Post BSc Integrated PhD Research Fellowship</strong> (2010-18).</li>
<li><strong>National Merit Scholarship</strong> (2004).</li>
</ul>
</div>
</div>
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