Update about.md

_config.yml

@@ -6,10 +6,10 @@
 # `jekyll serve`. If you change this file, please restart the server process.
 
 # Site Settings
-title                    : "Lorem ipsum"
-description              : "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. "
-repository               : "RayeRen/acad-homepage.github.io"
-google_scholar_stats_use_cdn : true
+title                    : "Mridula Buragohain's Homepage"
+description              : "Final Year Dual Degree Student "
+repository               : "mridulaburagohain.github.io"
+google_scholar_stats_use_cdn : false
 
 # google analytics
 google_analytics_id      :  # get google_analytics_id from https://analytics.google.com/analytics/
@@ -21,14 +21,14 @@ baidu_site_verification  :  # get baidu_site_verification from https://ziyuan.ba
 
 # Site Author
 author:
-  name             : "Lorem ipsum"
-  avatar           : "images/android-chrome-512x512.png"
-  bio              : "Lorem ipsum College"
-  location         : "Beijing, China"
+  name             : "Mridula Buragohain"
+  avatar           : "images/profile_closeup5.jpeg"
+  bio              : "IIT Kharagpur"
+  location         : "India"
   employer         :
   pubmed           : 
-  googlescholar    : "https://scholar.google.com/citations?user=YOUR_GOOGLE_SCHOLAR_ID"
-  email            : "[email protected]"
+  googlescholar    : #"https://scholar.google.com/citations?user=YOUR_GOOGLE_SCHOLAR_ID"
+  email            : "[email protected]"
   researchgate     :  # e.g., "https://www.researchgate.net/profile/yourprofile"
   uri              :
   bitbucket        :
@@ -37,13 +37,13 @@ author:
   flickr           :
   facebook         :
   foursquare       :
-  github           : # e.g., "github username"
+  github           : "mridulaburagohain"
   google_plus      :
   keybase          :
   instagram        :
   impactstory      : # e.g., "https://profiles.impactstory.org/u/xxxx-xxxx-xxxx-xxxx"
   lastfm           :
-  linkedin         : # e.g., "linkedin username"
+  linkedin         : "mridula-buragohain-9b1228221/"
   dblp             : # e.g., "https://dblp.org/pid/xx/xxxx.html"
   orcid            : # e.g., "https://orcid.org/xxxx"
   pinterest        :

_data/navigation.yml

@@ -4,19 +4,16 @@ main:
     url: "/#about-me"
 
   - title: "News"
-    url: "/#-news"
+    url: "/#news"
 
-  - title: "Publications"
-    url: "/#-publications"
+  - title: "Projects"
+    url: "/#projects"
 
-  - title: "Honors and Awards"
-    url: "/#-honors-and-awards"
-
-  - title: "Educations"
-    url: "/#-educations"
+  - title: "Publications and Conferences"
+    url: "/#publications-and-conference-proceedings"
 
-  - title: "Invited Talks"
-    url: "/#-invited-talks"
-
-  - title: "Internships"
-    url: "/#-internships"
+  - title: "Honors and Awards"
+    url: "/#honors-and-awards"
+    
+  - title: "Leadership"
+    url: "/#leadership-and-co-curricular"

_pages/about.md

@@ -16,43 +16,125 @@ redirect_from:
 {% assign url = gsDataBaseUrl | append: "google-scholar-stats/gs_data_shieldsio.json" %}
 
 <span class='anchor' id='about-me'></span>
+# About Me
+I am a final year student at the Department of Agricultural and Food Engineering, IIT Kharagpur, pursuing my Integrated Mtech (5 Year Course) in Agricultural Systems Management with micro-specialization in Artificial intelligence and its applications. I am currently working with Prof. Yu Jiang on developing an autonomous manipulation system for tissue culture operations at the Cyber-Agricultural Intelligence and Robotics Lab [**CAIR**](https://cair.cals.cornell.edu/) lab at Cornell University. 
 
-Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. Suspendisse condimentum, libero vel tempus mattis, risus risus vulputate libero, elementum fermentum mi neque vel nisl. Maecenas facilisis maximus dignissim. Curabitur mattis vulputate dui, tincidunt varius libero luctus eu. Mauris mauris nulla, scelerisque eget massa id, tincidunt congue felis. Sed convallis tempor ipsum rhoncus viverra. Pellentesque nulla orci, accumsan volutpat fringilla vitae, maximus sit amet tortor. Aliquam ultricies odio ut volutpat scelerisque. Donec nisl nisl, porttitor vitae pharetra quis, fringilla sed mi. Fusce pretium dolor ut aliquam consequat. Cras volutpat, tellus accumsan mattis molestie, nisl lacus tempus massa, nec malesuada tortor leo vel quam. Aliquam vel ex consectetur, vehicula leo nec, efficitur eros. Donec convallis non urna quis feugiat.
+My research interests lie in robotics automation and smart sensing, and I am specifically interested in robotics and Vision integration for Agricultural and Food Automation and increasing the robustness and generalization capabilities of the autonomous robotic system method.
 
-My research interest includes neural machine translation and computer vision. I have published more than 100 papers at the top international AI conferences with total <a href='https://scholar.google.com/citations?user=DhtAFkwAAAAJ'>google scholar citations <strong><span id='total_cit'>260000+</span></strong></a> (You can also use google scholar badge <a href='https://scholar.google.com/citations?user=DhtAFkwAAAAJ'><img src="https://img.shields.io/endpoint?url={{ url | url_encode }}&logo=Google%20Scholar&labelColor=f6f6f6&color=9cf&style=flat&label=citations"></a>).
+In my free time, I love to play badminton and read books. Other than this, I also love traveling to new places, especially hills and mountains and also cities, for unique architecture.
 
+# Research Interests
+- *Robotics Automation*
+- *Automation in Agri-Food Systems*
+- *Smart Sensing*
+- *Computer vision and deep learning*
+- *High-Throughput Phenotyping*
 
-# 🔥 News
-- *2022.02*: &nbsp;🎉🎉 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2022.02*: &nbsp;🎉🎉 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
+# News
+- *2024.05*: &nbsp; Cornell CALS Summer Research Scholar 2024. 
+- *2023.05*: &nbsp; Mitacs Summer Research Scholarship 2024.
+- *2022.05*: &nbsp; Summer Research Internship at the University of Campinas.
+- *2022.05*: &nbsp; Summer Research Internship at Virginia Tech University. 
+
+# Projects
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2024</div><img src='images/manipulator.jpeg' alt="sym" width="100%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+ Autonomous manipulation platform for tissue culture operation
+
+**Project** 
+-  Designed and integrated a hardware setup with RaspberryPi, RealSense camera, and manipulator arm; implemented ROS 2 MoveIt2 for autonomous transfer of callus during tissue culture operation,
+-  Developed callus detection algorithms, camera calibration, and collision safety controls using point cloud data to enhance manipulator accuracy.
+</div>
+</div>
+
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2023</div><img src='images/apple_paper.png' alt="sym" width="100%" height="80%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+A Two-stage Deep-learning Model
+ for Detection and Occlusion-based Classification of Kashmiri Orchard Apples for Robotic Harvesting
+
+Divya Rathore, Divyanth L G, Lalit Reddy, Yogesh Chawla, **Mridula Buragohain**
+
+[**Paper**](https://link.springer.com/article/10.1007/s42853-023-00190-0) 
+- Proposed a novel two-stage deep-learning-based approach that can detect the apples using YOLOv7 and utilized EfficientNet to classify the apple's occlusion condition.
+</div>
+</div>
+
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">15 SLACAN 2023</div><img src='images/tea.png' alt="sym" width="100%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+ Classification of tea according to the texture and color analysis based on origin using computer vision
+
+Dhanus Raj, Ingrid Moraes, **Mridula Buragohain**, Sai Chaitanya K, Vansh Agrawal,
+Vanshika Sahu, Ayushi Saha, Marcus da Silva Ferreira, Sylvio Barbon Junior, Somsubhra Chakraborty, Jayeeta Mitra, Douglas Fernandes Barbin
+
+**Conference Presentation**
+- Developed machine learning models, including SVM, Random Forest, and ANNs, for classification based on using color, texture, and morphological features extracted from RGB images. Achieved a peak prediction accuracy of 89% with the Random Forest classifier.
+</div>
+</div>
 
-# 📝 Publications 
 
-<div class='paper-box'><div class='paper-box-image'><div><div class="badge">CVPR 2016</div><img src='images/500x300.png' alt="sym" width="100%"></div></div>
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2024</div><img src='images/disease_assessment_bird_eye_view.png' alt="sym" width="100%"></div></div>
 <div class='paper-box-text' markdown="1">
 
-[Deep Residual Learning for Image Recognition](https://openaccess.thecvf.com/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf)
+Adaptability and Effectiveness of inbuilt vision foundational model to quantify grape foliage powdery mildew infection
 
-**Kaiming He**, Xiangyu Zhang, Shaoqing Ren, Jian Sun
+**Mridula Buragohain**, Yu Jiang, Yiyuan Lin
 
-[**Project**](https://scholar.google.com/citations?view_op=view_citation&hl=zh-CN&user=DhtAFkwAAAAJ&citation_for_view=DhtAFkwAAAAJ:ALROH1vI_8AC) <strong><span class='show_paper_citations' data='DhtAFkwAAAAJ:ALROH1vI_8AC'></span></strong>
-- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
+**Poster Presentation** 
+-  Tested our built vision foundation model for adaptability results across different vineyards in the US
+-  Obtained bird-eye view severity assessment results of mildew infection in the fields compared with human assessment.
 </div>
 </div>
 
-- [Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet](https://github.com), A, B, C, **CVPR 2020**
 
-# 🎖 Honors and Awards
-- *2021.10* Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2021.09* Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2023</div><img src='images/manuscript1.png' alt="sym" width="100%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+Mechanical damage assessment in canola using X-ray imaging and computer vision
+
+**Summer Project**
+-  Utilized X-ray imaging with computer vision techniques, including OpenCV for image enhancement and ROI detection, to classify canola damage into four categories. Tested machine learning and deep learning models, achieving a top mAP of 92.08% with MobileNetV2.
+</div>
+</div>
+
+
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2023</div><img src='images/btp1.png' alt="sym" width="100%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+Simulating an autonomous navigation system for a ground robot using NAV2
+
+**Semester Project** 
+-  Developed and tested a ground robot in the Gazebo simulation environment for autonomous navigation and obstacle avoidance using NAV2, Lidar, and the A* algorithm. Gained hands-on experience with ROS2 for controlling both virtual and real-world robot designs.
+</div>
+</div>
+
+<div class='paper-box'><div class='paper-box-image'><div><div class="badge">2022</div><img src='images/mango.jpg' alt="sym" width="100%"></div></div>
+<div class='paper-box-text' markdown="1">
+
+Quality analysis of mangoes during storage using color imaging
+
+**Project** 
+-  Conducted quality assessments of mangoes during storage by applying classification algorithms on RGB and lab images, comparing machine-vision results with chemical-based methods. Achieved an 84% accuracy in predicting the ripening index of the mangoes.
+</div>
+</div>
+
+# Publications and Conference Proceedings
+- *2023*,  A Two-stage Deep-learning Model for Detection and Occlusion-based Classification of Kashmiri Orchard Apples for Robotic Harvesting. *Journal of Biosystems Engineering, 48, 242-256*.
+- *2023*,  Recent advances in non-destructive techniques for grain quality monitoring. *Canadian Society for BioEngineering Annual Meet 2023*.
+- *2023*,  Classification of carambola (Averrhoa carambola l.) according to the maturation stage using computer vision. *15 Simpósio Latino Americano de Ciência de Alimentos e Nutrição - SLACAN (2023)*.
+- *2024*,  Adaptability and Effectiveness of inbuilt vision foundational model to quantify grape foliage powdery mildew infection. *Cornell CALS Summer Scholars Programs Poster Presentation*.
 
-# 📖 Educations
-- *2019.06 - 2022.04 (now)*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2015.09 - 2019.06*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
+# Competitions 
+- *2021.10*, Silver Medalist, Cloud Physician’s Vital Extraction Challenge, Inter IIT Tech Meet 11.0, IIT Kanpur
 
-# 💬 Invited Talks
-- *2021.06*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. 
-- *2021.03*, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet.  \| [\[video\]](https://github.com/)
+# Honors and Awards
+- *2024*, Selected as a Cornell CALS Summer Scholar Student at the Horticultural Section of Cornell CALS
+- *2023*, Selected as a Mitacs Summer Research Intern at the Biosystems Engineering Department, University of Manitoba
 
-# 💻 Internships
-- *2019.05 - 2020.02*, [Lorem](https://github.com/), China.
+# Leadership and Co-curricular
+- *2022.09-2023.09*, Undergraduate Department Representative, IIT Kharagpur
+- *2022.08-2023.08*, Technical Head of Agricultural Engineering Society (AES), IIT Kharagpur
+- *2022.12*, Part of the organizing team for Convocation at IIT Kharagpur 2022
+- *2020.12-2022.04*, Volunteered in National Service Scheme