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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Abhishek's Homepage
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Design.AI - Ensuring brand consistency
While at Design.AI, I was one of the core developers on making a multi platform AI backed tool to assist businesses in digitizing their brand guidelines and providing all designers instant evaluation on their designs with respect to the company’s brand guidelines. We also digitized Google’s Material Design 3 design system used by most freelancers. The plugin also offered suggestions for fixing violated guidelines, in addition to evaluating and fixing a few of the WCAG accessibility guidelines. Additionally, we provided a custom dashboard for managers to track team progress, improvement in efficiency, and business expenses saved. We further partnered with leading companies such as H&M and Kone to gain insights from their design teams on the Beta version of the tool. 
Figma Creative Assistant
During my time at Aalto University, one of my main tasks was researching and developing a tool to assist UI designers explore color harmony. We used deep learning saliency models to extract colors from the focal points to build a palette around, which was extended using Monte Carlo Tree Search. The tool employed multiple assignment algorithms and heuristics in order to ensure light-dark variations, minimum contrast levels for accessibility, and a thorough user study. The tool was created as a plugin on the popular designing platform - Figma.
Marine Search and Rescue
Developing our own object detection models to aid in detecting, counting, and tracking people at sea during search and rescue missions. Further differentiation between floaters and rescue members can be made. Can extend this pronlem to tackle multi object tracking so even temporal data can be analyzed. 
Lane Detection
Attempting to solve the issue of correctly identifying your current driving lane with a high level of confidence. The approach is to segment the current driving lane by using both deep learning and classical approaches and weigh the limitations of each method in order to assist with automated driving. Training and test data includes varieties of daytime, road curvatures, types of road markings, and surronding environment for robust learning 
publications
Modelling, Simulation, and Implementation of PID Controller on Quadrotors
Published in International Conference on Computer Communications and Informatics (ICCCI), 2021
Recommended citation: A. Iyer and H. O. Bansal, "Modelling, Simulation, and Implementation of PID Controller on Quadrotors," 2021 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2021, pp. 1-7, doi: 10.1109/ICCCI50826.2021.9402301.
Eformer: Edge Enhancement based Transformer for Medical Image Denoising
Published in International Conference on Computer Vision (ICCV), Workshop, 2021
Recommended citation: Luthra A*, Sulakhe H*, Mittal T*, Iyer A, Yadav S. Eformer: Edge Enhancement based Transformer for Medical Image Denoising. 2021. International Conference on Computer Vision, Workshop (2021). https://doi.org/10.48550/arXiv.2109.08044
CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings
Published in Multimedia Tools and Applications Journal, 2023
Recommended citation: Iyer, A., Das, S.S., Teotia, R. et al. CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings. Multimed Tools Appl 82, 4883–4896 (2023). https://doi.org/10.1007/s11042-022-12310-7
CoColor: Interactive Exploration of Color Designs
Published in ACM Conference on Intelligent User Interfaces (IUI), 2023
Recommended citation: Lena Hegemann, Niraj Ramesh Dayama, Abhishek Iyer, Erfan Farhadi, Ekaterina Marchenko, and Antti Oulasvirta. 2023. CoColor: Interactive Exploration of Color Designs. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI '23). Association for Computing Machinery, New York, NY, USA, 106–127. https://doi.org/10.1145/3581641.3584089
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.