Tajamul Ashraf
email

CV | Github | Linkedln

I am currenly a Research Intern at Microsoft Research India in Bengaluru. Recently, I completed my Master's degree in Computer Science from the Indian Institute of Technology Delhi under the guidance of Prof. Chetan Arora. My academic journey began with Bachelor's degree in Information Technology from the National Institute of Technology, Srinagar.

Outside of work, I enjoy playing badminton and swimming quite often. I'm also passionate about making a positive impact on the society which led me to initiate Ralith Milith, an anti-drug society in Kashmir.

"If you cannot do great things, do small things in a great way."
-Napolean Hill

News

Languages I can connect in


English


Urdu


Hindi


Kashmiri


Arabic


Persian


Research

My research focuses on the integration of Computer Vision with Medical AI and Assistive Robotics. Specifically, I am interested in developing advanced computer vision systems for medical imaging analysis, including applications such as automated diagnosis and treatment planning. Additionally, I explore the intersection of AI and robotics to enhance assistive technologies, aiming to improve quality of life through innovations in healthcare. My work often involves deep learning, image processing techniques, and the application of AI-driven solutions in real-world scenarios.

Publications

  • Selected
  • All

TransFED: A way to epitomize Transformer based Focal Modulation using Federated Learning
Tajamul Ashraf, Fuzayil Mir, Iqra Altaf Gillani
WACV 2024 [Poster]

webpage | abstract | presentation | code

PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning
Tajamul Ashraf, Balaji Prabu BV, and Omkar SN
CVIP 2023

webpage | abstract | presentation | code

TransFED: A way to epitomize Transformer based Focal Modulation using Federated Learning
Tajamul Ashraf, Fuzayil Mir, Iqra Altaf Gillani
WACV 2024 [Poster]

webpage | abstract | presentation | code

PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning
Tajamul Ashraf, Balaji Prabu BV, and Omkar SN
CVIP 2023

webpage | abstract | presentation | code

CCTM: Climate Change Temperature Model with Multi-dimensional Tensorial Focal Modulated Encoder
Tajamul Ashraf, Janibul Bashir
arXiv 2024

webpage | abstract | presentation | code

Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir
Tajamul Ashraf, Janibul Bashir
ICDSA 2023

webpage | abstract | presentation | code

An Integral Computer Vision System for Apple Detection, Classification, and Semantic Segmentation,
Tajamul Ashraf, Naiyer Abbas, Mohammad Haseeb, Nadeem Yousuf, Janibul Bashir
ICMV 2022

webpage | abstract | presentation | code

Timeline

  • MICROSOFT RESEARCH July 2024 - Present
    Research Intern
    Advisor: Dr. Mohit Jain
  • IIT DELHI Aug 2022 - June 2024
    Master's of Science (Research)
    Advisor: Prof. Chetan Arora
  • LEENA AI May 2022 - July 2022
    Software Developer
    Product, Engineering and ML team
  • ARTPARK IISc Jan 2022 - May 2022
    Computer Vision Researcher
    Mentor: Prof. Raghu Krishnapuram
  • IIT KHARAGPUR Nov 2019 - Mar 2020
    Research Intern
    Advisor: Prof. Pabitra Mitra
  • NIT SRINAGAR Aug 2018 - May 2022
    B-Tech in Information Technology)
    Advisor: Prof. Janibul Bashir
  • TYNDALE BISCOE SCHOOL 2016 - 2018
    Higer Secondary
    Class X with 92.6%
    Class XII with 91.8%

Community

    In my background story, I pivoted into academic lifesyle to pursure my curiousity to conduct research in Computer Vision and Medical Imaging. I even shifted domains, starting from IoT to robotics. I truly believe in open-source work in order to educate others better (including myself) on how to critically access information better from the vast pool of information available in the Internet. Credit must be given to all my academic mentors and peers’ guidance, which have been influential at an early stage in my career to help overcome this challenge.
    I would like to continue the tradition and give back to the community, I am willing to mentor a few early stage undergraduate/master students interested towards my direction in computer vision. Personally, I encourage students with diverse backgrounds or in a similar nutshell as mine to reach out.
    If you are interested, Send out an introductory email to me about yourself, introduce me with your academic background, preferably attach your CV. [Email]

I have built this website from the modified version of templates from here and here. Feel free to use this template from GitHub [code], avoid scraping HTML here due to unwanted tags. If you are in deveoper, you can have a look at my older website [Template]