LiLabZSU

I am currently a Research Professor at Zhejiang Gongshang University (ZSU) where I am working with Dr XXX. My work spans across Bioinformatics, Genomics, Microbiome, and Machine Learning.

Please feel free to visit my website and drop me an email if you want to contact with me!

Jul '22	Started working as a Research Fellow at Microsoft Research Lab India!
Jun '22	Our paper at AI-NLP-ML Lab, IIT Patna got accepted at IJDL!
May '22	Spent my last day at IIT Patna reminiscing the previous years.

Making Gradient Descent non-monotonic over gradient (Bachelor Thesis)

[thesis] [slides] [code]

Advisor: Prof Jimson Mathew
A novel non-monotonic gradient descent optimizer which aims to reduce the number of divergences while using gradient descent, along with its theoretical and empirical validation.

Decoding quantum states through nuclear magnetic resonance

[code]

Machine Learning for Physics. Built a model to predict the coupling parameters associated with nuclei and electrons given their time-dependent magnetization curve from a spin-echo NMR experiment. Created a weighted ensemble model comprising of 1. Random Forest over statstical time-series features, 2. InceptionTime, and 3. a custom CNN to achieve an R² value of 0.992 and 0.997 for predictions on coupling strength and dissipation parameters respectively.

ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles

Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya
International Journal of Digital Libraries (IJDL), 2022

We introduce a semi-automated dataset having more than 100k human-annotated context-question-answer triplets to facilitate question answering (QA) on scientific articles. Secondly, we implement QA models based on BERT, SciBERT and a combination of SciBERT and BiDAF and evaluate the results on our dataset. The best model obtains an F1 score of 75.46%.

Multi-Modal Detection of Alzheimer's Disease from Speech and Text

Amish Mittal*, Sourav Sahoo*, Arnhav Datar*, Juned Kadiwala*, Hrithwik Shalu, Jimson Mathew
20th International Workshop on Data Mining in Bioinformatics (BIOKDD) with SIGKDD 2021
[paper]

Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because there is no definitive diagnosis of AD in vivo. We propose a multimodal deep learning method that utilizes speech and the corresponding transcript simultaneously to detect AD. We also perform experiments to analyze the model performance when ASR system generated transcripts are used and further perform an essential study of age and gender bias of our model. The proposed method achieves 85.3% 10-fold cross-validation accuracy on the Dementiabank Pitt corpus.

*Authors contributed equally
In collaboration with JCBC, University of Cambridge, UK

	Research Affiliate \| MIT Media Lab Jul '21 - Nov '21' Fluid Interfaces Group. Building the unsupervised machine learning and software engineering components to create Brain-Computer Interfaces (BCI) for realtime-feedback in assistive devices.
	Software Engineer Intern \| Sybill.ai Jun '21 - Aug '21 Working on the core infrastructure of a venture-backed, early-stage SaaS startup building an AI-powered video call partner which provides contextualized insights on participants’ emotions. Currently building the user authorization and asynchronous dataflow pipeline to communicate with Microsoft Graph API.

Indian Institute of Technology Patna
Bachelor of Technology in Computer Science Engineering
July '18 - May '22

Student Societies:

General Secretary | Academic and Career Council, Students' Gymkhana
Coordinator | NJACK - Computer Science society
Member | Anwesha - Annual cultural festival

Last updated: July 8, 2022

This template is a modification to Amish Mittal's website. Feel free to clone it for your own use while attributing the original author Jon Barron.