<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Latest News | Hinton Research Lab</title><link>https://hintonresearchlab.github.io/post/</link><atom:link href="https://hintonresearchlab.github.io/post/index.xml" rel="self" type="application/rss+xml"/><description>Latest News</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Wed, 25 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://hintonresearchlab.github.io/media/icon_hu8470579392039774497.png</url><title>Latest News</title><link>https://hintonresearchlab.github.io/post/</link></image><item><title>Congratulations to Dr. Pallavi Saikia on Successful PhD Thesis Defense</title><link>https://hintonresearchlab.github.io/post/defense_pallavi/</link><pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/defense_pallavi/</guid><description>&lt;p>We are proud to congratulate &lt;strong>Mrs. Pallavi Saikia&lt;/strong>, a valued member of our research laboratory, on the successful defense of her PhD thesis.&lt;/p>
&lt;p>Her doctoral research focused on &lt;strong>Alzheimer’s Disease Detection using Image Processing and Computer Vision Techniques&lt;/strong>, addressing important challenges in medical image analysis and AI-assisted healthcare diagnostics. Throughout her research journey, she made significant contributions to the field through numerous research publications related to neuroimaging, deep learning, and intelligent disease detection systems.&lt;/p>
&lt;p>Her work reflects a strong interdisciplinary approach combining artificial intelligence, medical imaging, and computer vision for early-stage neurological disorder analysis and diagnosis.&lt;/p>
&lt;p>The entire lab extends heartfelt congratulations to Dr. Pallavi Saikia on this remarkable academic achievement and wishes her continued success in her future research and professional career.&lt;/p></description></item><item><title>Welcoming New PhD Scholars Neeharika Sonowal and Gaurab Khaklari to the Research Group</title><link>https://hintonresearchlab.github.io/post/welcoming_neeharika_gaurab/</link><pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/welcoming_neeharika_gaurab/</guid><description>&lt;p>We are pleased to welcome &lt;strong>Neeharika Sonowal&lt;/strong> and &lt;strong>Gaurab Khaklari&lt;/strong> as new PhD scholars to our research group at the Department of Computer Science, Gauhati University.&lt;/p>
&lt;p>Both scholars have qualified for the prestigious &lt;strong>UGC Junior Research Fellowship (JRF)&lt;/strong> and bring valuable academic and research experience to the laboratory.&lt;/p>
&lt;h3 id="neeharika-sonowal">Neeharika Sonowal&lt;/h3>
&lt;p>Neeharika joins the lab with &lt;strong>two years of teaching experience&lt;/strong> and research specialization in &lt;strong>Microscopy Image Super Resolution&lt;/strong> and deep learning-based image enhancement techniques. She has contributed to the field through research publications in relevant domains and is actively interested in biomedical imaging and computational microscopy.&lt;/p>
&lt;h3 id="gaurab-khaklari">Gaurab Khaklari&lt;/h3>
&lt;p>Gaurab’s research interests include &lt;strong>Image Processing&lt;/strong>, &lt;strong>Deep Learning&lt;/strong>, and &lt;strong>Assamese Handwritten Compound Character Recognition&lt;/strong>. He has prior research publication experience in the area of intelligent character recognition and pattern analysis, particularly focusing on Assamese handwritten scripts and document image analysis.&lt;/p>
&lt;p>We warmly welcome both researchers to the lab and look forward to their valuable contributions to ongoing and future research projects. We wish them success in their doctoral journey and research endeavors.&lt;/p></description></item><item><title>ISRO-RAC-S Sponsored Research Project Awarded on Change Detection and Change Captioning</title><link>https://hintonresearchlab.github.io/post/isro_rac_project/</link><pubDate>Thu, 22 Jan 2026 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/isro_rac_project/</guid><description>&lt;p>We are delighted to announce that our Principal Investigator &lt;strong>Dr. Sanjib Kr. Kalita&lt;/strong>, Associate Professor and Head of the Department of Computer Science, Gauhati University, has been awarded a prestigious research project funded by &lt;strong>ISRO-RAC-S&lt;/strong>.&lt;/p>
&lt;p>The project focuses on &lt;strong>Change Detection and Change Captioning using Computer Vision and Deep Learning Techniques&lt;/strong>, aiming to develop intelligent AI-based frameworks for automated analysis and interpretation of remote sensing and satellite imagery data.&lt;/p>
&lt;p>The project will involve advanced research in:&lt;/p>
&lt;ul>
&lt;li>Computer Vision&lt;/li>
&lt;li>Deep Learning&lt;/li>
&lt;li>Remote Sensing Image Analysis&lt;/li>
&lt;li>Automated Scene Understanding&lt;/li>
&lt;li>AI-driven Change Captioning Systems&lt;/li>
&lt;/ul>
&lt;p>The Co-Principal Investigators of the project are:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Dr. Diganta Kumar Pathak&lt;/strong>, Assistant Professor, Department of Computer Science, Birangana Sati Sadhani Rajyik Vishwavidyalaya, Golaghat&lt;/li>
&lt;li>&lt;strong>Prof. Minakshi Gogoi&lt;/strong>, Head, Department of Computer Science, Girijananda Chowdhury University, Guwahati&lt;/li>
&lt;li>&lt;strong>Mr. Tushar Shukla&lt;/strong>, Sci/Eng-&amp;ldquo;SE&amp;rdquo;, Space Applications Centre, ISRO, Ahmedabad&lt;/li>
&lt;/ul>
&lt;p>This project marks an important milestone for the research community and is expected to contribute significantly to intelligent geospatial analysis and AI-based remote sensing applications.&lt;/p>
&lt;p>The entire laboratory and department congratulate the project team and wish them great success in this research endeavor.&lt;/p></description></item><item><title>Welcoming New Lab Member Manash Choudhuri to the Research Group</title><link>https://hintonresearchlab.github.io/post/welcoming_manash/</link><pubDate>Sat, 02 Aug 2025 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/welcoming_manash/</guid><description>&lt;p>We are delighted to welcome &lt;strong>Manash Choudhuri&lt;/strong> as a new member of our research laboratory at the Department of Computer Science, Gauhati University.&lt;/p>
&lt;p>Manash has joined the lab as a &lt;strong>PhD Scholar&lt;/strong> and &lt;strong>Junior Research Fellow (JRF)&lt;/strong> under the &lt;strong>ISRO-RAC-S sponsored project&lt;/strong> focusing on &lt;strong>Change Detection and Change Captioning&lt;/strong> using advanced artificial intelligence and computer vision techniques.&lt;/p>
&lt;p>He brings with him &lt;strong>two years of teaching experience&lt;/strong> along with strong research interests in &lt;strong>Speech Processing&lt;/strong>, &lt;strong>Deep Learning&lt;/strong>, and intelligent data-driven systems. His expertise and academic background are expected to contribute significantly to the ongoing research activities of the lab.&lt;/p>
&lt;p>The entire research group warmly welcomes him and wishes him great success in his research journey and future endeavors.&lt;/p></description></item><item><title>Research Project Awarded on Real-World Medicinal Plant Identification Using Mobile AI Application</title><link>https://hintonresearchlab.github.io/post/ierp_project/</link><pubDate>Thu, 20 Mar 2025 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/ierp_project/</guid><description>&lt;p>We are pleased to announce that a new research project has been awarded under the &lt;strong>IERP Programme of the G.B. Pant National Institute of Himalayan Environment (NIHE)&lt;/strong> focusing on &lt;strong>Real-World Medicinal Plant Identification using a Robust Mobile Application&lt;/strong>.&lt;/p>
&lt;p>The project aims to develop an intelligent mobile-based system for accurate identification of medicinal plants in real-world environments using advanced techniques in:&lt;/p>
&lt;ul>
&lt;li>Computer Vision&lt;/li>
&lt;li>Deep Learning&lt;/li>
&lt;li>Mobile AI Applications&lt;/li>
&lt;li>Image-Based Plant Recognition&lt;/li>
&lt;li>Biodiversity Informatics&lt;/li>
&lt;/ul>
&lt;p>The project seeks to support medicinal plant conservation, traditional knowledge documentation, and accessible AI-driven plant identification systems for researchers, students, and local communities.&lt;/p>
&lt;p>The project is led by:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Dr. Sanjib Kr. Kalita&lt;/strong>, Principal Investigator (PI), Department of Computer Science, Gauhati University&lt;/li>
&lt;/ul>
&lt;p>with&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Prof. Partha Pratim Baruah&lt;/strong>, Co-Principal Investigator (Co-PI), Department of Botany, Gauhati University&lt;/li>
&lt;/ul>
&lt;p>This interdisciplinary collaboration between Computer Science and Botany is expected to contribute significantly toward intelligent biodiversity management and technology-assisted medicinal plant research.&lt;/p>
&lt;p>The laboratory congratulates the project team and wishes them success in this important research initiative.&lt;/p></description></item><item><title>Springer Conference Presentation at ANTIC 2024 on Medicinal Plant Leaf Identification</title><link>https://hintonresearchlab.github.io/post/springer-conference-presenatation-at-bhu-on-medicinal-plant-identification/</link><pubDate>Fri, 20 Dec 2024 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/springer-conference-presenatation-at-bhu-on-medicinal-plant-identification/</guid><description>&lt;hr>
&lt;p>The Department of Computer Science, Gauhati University and Hinton Research Lab, is pleased to announce the presentation of a research paper at the &lt;strong>4th International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2024)&lt;/strong> held at &lt;strong>Banaras Hindu University (BHU), Varanasi, India&lt;/strong>.&lt;/p>
&lt;p>&lt;strong>Deepjyoti Chetia&lt;/strong> presented the research paper titled &lt;strong>“Identification of Traditional Medicinal Plant Leaves Using an Effective Deep Learning Model and Self-Curated Dataset”&lt;/strong> at the conference. The research addresses the growing need for intelligent and automated medicinal plant identification systems using modern Artificial Intelligence and Computer Vision techniques.&lt;/p>
&lt;p>The work focuses on the development of a robust deep learning-based framework capable of recognizing medicinal plant species from leaf images collected through a carefully curated dataset. The proposed approach aims to support biodiversity conservation, herbal medicine documentation, and technology-driven healthcare applications.&lt;/p>
&lt;p>The presentation highlighted several key aspects of the research, including:&lt;/p>
&lt;ul>
&lt;li>Development of a self-curated medicinal plant dataset&lt;/li>
&lt;li>Deep learning-based image classification techniques&lt;/li>
&lt;li>Feature extraction and plant species recognition&lt;/li>
&lt;li>Challenges in real-world medicinal plant identification&lt;/li>
&lt;li>Applications in biodiversity conservation and digital herbal repositories&lt;/li>
&lt;/ul>
&lt;p>The study demonstrates how Artificial Intelligence can assist researchers, students, healthcare practitioners, and conservationists in accurately identifying medicinal plants through image-based analysis.&lt;/p>
&lt;p>The paper was accepted and published in the &lt;strong>Springer Communications in Computer and Information Science (CCIS)&lt;/strong> conference proceedings, providing international visibility to the research work and contributing to the growing field of AI-assisted biodiversity informatics.&lt;/p>
&lt;p>The conference brought together researchers, academicians, and industry experts from across the globe to discuss recent advancements in intelligent computing, artificial intelligence, machine learning, and network technologies.&lt;/p>
&lt;h3 id="the-department-congratulates-deepjyoti-chetia-on-this-achievement-and-appreciates-his-contribution-toward-advancing-research-in-computer-vision-deep-learning-and-medicinal-plant-informatics">The Department congratulates &lt;strong>Deepjyoti Chetia&lt;/strong> on this achievement and appreciates his contribution toward advancing research in Computer Vision, Deep Learning, and Medicinal Plant Informatics.&lt;/h3></description></item><item><title>Best Paper Award at Research Conclave 2024, Girijananda Chowdhury University</title><link>https://hintonresearchlab.github.io/post/gcu_r_conclave_2024-copy-1/</link><pubDate>Thu, 28 Nov 2024 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/post/gcu_r_conclave_2024-copy-1/</guid><description>&lt;hr>
&lt;p>A team from the Department of Computer Science, Gauhati University, actively participated in &lt;strong>Research Conclave 2024&lt;/strong>, organized by the Department of Computer Science and Engineering, Girijananda Chowdhury University (GCU), Assam, on &lt;strong>28th November 2024&lt;/strong>. The conclave was organized with the objective of fostering innovation, interdisciplinary research, and academic collaboration among researchers, students, and faculty members.&lt;/p>
&lt;p>The research team comprised:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Deepjyoti Chetia&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Debasish Dutta&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Pallavi Saikia&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Rishiraj Baruah&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Himangshu Kashyap&lt;/strong> (Master&amp;rsquo;s Student)&lt;/li>
&lt;/ul>
&lt;p>The team presented research works spanning multiple domains of Artificial Intelligence and Computer Science, including:&lt;/p>
&lt;ol>
&lt;li>&lt;strong>Image Segmentation using Transformer Architectures&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Microscopy Image Super-Resolution using Transformer-based Models&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Speech Processing using Deep Learning&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Alzheimer’s Disease Detection using Computer Vision Techniques&lt;/strong>&lt;/li>
&lt;li>&lt;strong>DNA Sequencing and Bioinformatics Applications&lt;/strong>&lt;/li>
&lt;/ol>
&lt;p>The event witnessed enthusiastic participation from researchers and academicians from various institutions. It provided an excellent platform for knowledge exchange, presentation of innovative ideas, and discussions on emerging technologies in Artificial Intelligence and Computing.&lt;/p>
&lt;p>The Department is proud to announce that:&lt;/p>
&lt;ul>
&lt;li>🏆 &lt;strong>Pallavi Saikia&lt;/strong> received the &lt;strong>Best Paper Award&lt;/strong> for her research work on Alzheimer&amp;rsquo;s Disease Detection using Computer Vision.&lt;/li>
&lt;li>🏆 &lt;strong>Himangshu Kashyap&lt;/strong> received the &lt;strong>Best Paper Award&lt;/strong> for his outstanding research presentation.&lt;/li>
&lt;/ul>
&lt;p>Their achievement reflects the quality of research being carried out within the department and highlights the growing impact of student and scholar-led research initiatives.&lt;/p>
&lt;h2 id="the-department-of-computer-science-gauhati-university-congratulates-all-the-presenters-and-especially-the-award-recipients-for-their-outstanding-accomplishment-their-success-continues-to-inspire-young-researchers-and-reinforces-the-departments-commitment-to-excellence-in-research-and-innovation">The Department of Computer Science, Gauhati University, congratulates all the presenters and especially the award recipients for their outstanding accomplishment. Their success continues to inspire young researchers and reinforces the department&amp;rsquo;s commitment to excellence in research and innovation.&lt;/h2></description></item></channel></rss>