Spaces:

raktimhugging
/

ragtim-bot

Running

App Files Files Community

raktimhugging commited on Jun 14

Commit

8547691

verified ·

1 Parent(s): 8ceb616

Delete about.md

Browse files

Files changed (1) hide show

about.md +0 -110

about.md DELETED Viewed

@@ -1,110 +0,0 @@
-# [Raktim Mondol](https://mondol.me)
-NSW, Australia | [email protected]
----
-## SUMMARY & RESEARCH INTEREST
-I am an experienced data scientist and programmer with deep expertise in artificial intelligence, generative AI (GenAI) techniques and large language models (LLMs), bioinformatics, computer vision, and high-performance computing. My research and professional background is centered on analyzing large-scale image and biomedical datasets, developing novel deep learning models, and conducting advanced statistical analyses. I am a dedicated and committed individual with a strong team-oriented spirit, a positive attitude, and exceptional interpersonal skills.
----
-## EDUCATION
-🎓 **PhD, Computer Science & Engineering** | 2021 - 2025
-<br>UNSW, Sydney, Australia
-<br>**Research Topic:** *Deep Learning For Breast Cancer Prognosis & Explainability*
-<br>**◇ Thesis Submitted**
-🎓 **Masters by Research, Computer Science & Bioinformatics** | 2017 - 2019
-<br>RMIT University, Melbourne, Australia
-<br>[High Distinction (85%)](https://www.myequals.net/sharelink/78e7c7d7-5a73-4e7c-9711-f163f5dd1604/af0d807a-8392-45be-9104-d26b95f5aa7a)
-<br>**Research Thesis:** *[Deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations](https://research-repository.rmit.edu.au/articles/thesis/Deep_learning_in_classifying_cancer_subtypes_extracting_relevant_genes_and_identifying_novel_mutations/27589272?file=50759199)*
----
-## WORK EXPERIENCE
-🧑‍🏫 **Casual Academic** | July 2021 - Continuing
-<br>Dept. of Computer Science & Engineering
-<br>[UNSW](https://www.unsw.edu.au/), Sydney, NSW
-<br>**Duties/Responsibilities:**
-*   Conduct Laboratory and Consultation Classes: Computer Vision, Neural Networks and Deep Learning, Artificial Intelligence
-🧑‍🏫 **Teaching Assistant (Casual)** | July 2017 - Oct 2019
-<br>Dept. of Electrical and Biomedical Engineering
-<br>[RMIT University](https://www.rmit.edu.au/), Melbourne, VIC
-<br>**Duties/Responsibilities:**
-*   Conducted Laboratory Classes: Electronics (EEET2255), Software Engineering Design (EEET2250), Engineering Computing I (EEET2246), Introduction to Embedded Systems (EEET2256).
-🧑‍🏫 **Lecturer (Full-Time)** | September 2013 - December 2016
-<br>Dept. of Electrical and Electronic Engineering
-<br>[World University of Bangladesh (WUB)](https://wub.edu.bd/), Dhaka, Bangladesh
-<br>**Duties/Responsibilities:**
-*   Courses Instructed (Theory): Electrical Circuit I, Electrical Circuit II, Engineering Materials, Electronics I, Electronics II, Digital Logic Design and Digital Electronics
-*   Courses Instructed (Laboratory): Microprocessor & Interfacing, Digital Electronics and Digital Signal Processing
-*   Supervised Students for Projects and Thesis
----
-## RESEARCH EXPERIENCE
-🔬 **Doctoral Researcher (Sydney, NSW, Australia)** | March 2021 – Jan 2025
-<br>**[Biomedical Image Computing Research Group](https://imagescience.org/meijering/group/)**
-*   Developed AI models to assist pathologists in breast cancer identification and treatment recommendation.
-🔬 **Master's Researcher (Melbourne, VIC, Australia)** | March 2017 – April 2019
-<br>**[NeuroSyd Research Laboratory](https://sites.google.com/view/neurosyd/home)**
-*   Worked on developing a deep learning model and bio-informatics pipeline to extract bio-marker from high-throughput biological data.
----
-## TECHNICAL SKILLS
-*   **Languages:** Python, R, SQL, LaTeX
-*   **Software:** MATLAB, STATA, SPSS, SAS, NCSS
-*   **Deep Learning Framework:** Tensorflow, Pytorch
-*   **Distributed & Cloud Computing:** AWS, GCP, GALAXY
-*   **Operating Systems:** Windows, Linux
-*   **IDE:** Spyder, Jupyter Notebook, VS Code, Rstudio
----
-## AWARDS & RECOGNITION
-*   **2021:** Awarded PhD Scholarship (Tuition Fee and Stipend)
-*   **2019:** Completed Masters by Research with [High Distinction](https://drive.google.com/file/d/19ItaTbByg686UpoBMB7LcmWT8kfE1-fR/view?usp=sharing)
-*   **2017:** RMIT Research Stipend Scholarship
-*   **2017:** RMIT Research International Tuition Fee Scholarship
-*   **2013:** B.Sc. in Electrical and Electronic Engineering with High Distinction
-*   **2013:** [Vice Chancellor Award Spring 2013](https://drive.google.com/file/d/1VgqAWfSlHtm5OEepYtlB32kxdlV72W1g/view?usp=sharing), BRAC University
-*   **2010:** [Dean Award Fall 2010](https://drive.google.com/file/d/15G0CGXYdDrMdB93LKB90uICPeJMYoLub/view?usp=sharing), [Fall 2011](https://drive.google.com/file/d/1xawevXKfahsE2LUrLAoUTn5PLjDIjyHr/view?usp=sharing), BRAC University
----
-## PARTICIPATED EVENTS
-*   **2019:** Received Training on [NGS RNA Seq. & DNA Seq.](https://drive.google.com/file/d/1kHxtVXS1oD8BjrSqP8lM9koNA4PsT8WB/view?usp=sharing) Data Analysis organized by ArrayGen
-*   **2017:** Presented [Poster](https://drive.google.com/file/d/1K64iv74oatvbMmQYNHpyJgoGDvqRoW_V/view?usp=sharing) in [AMSI BioinfoSummer](https://drive.google.com/file/d/12Y2haYCtShJuEV0lsqeAiJgKtuRKGo_c/view?usp=sharing) at Monash University
-*   **2017:** Presented Thesis in [3 Minute Thesis (3MT)](https://drive.google.com/file/d/1AYj6Yox5GH285b4M7hh7rTxn4OyiPwMm/view?usp=sharing) competition at RMIT University
-*   **2017:** Received Training on High Performance Computing (HPC) at Monash University
-*   **2017:** Symposium on Big Data in Infectious Diseases at University of Melbourne
-*   **2016:** Received Training on Research Methodology at World University
-*   **2013:** Presented Undergraduate Thesis in a Workshop Organized by [IEEE Bangladesh](https://drive.google.com/file/d/1PPs1qlOjDDSZIXmaXWAL66q-WBBlz4i6/view?usp=sharing)
----
-## PUBLICATIONS
-### JOURNAL PAPERS
-*   📓 R. K. Mondol, E. K. A. Millar, P. H. Graham, L. Browne, A. Sowmya, and E. Meijering, ["GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology,"](https://arxiv.org/abs/2501.04206) (Submitted, Under Review), 2024.
-*   📓 R. K. Mondol, E. K. A. Millar, and A. Sowmya, and E. Meijering, ["BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion,"](https://ieeexplore.ieee.org/document/10568932) in *IEEE Journal of Biomedical and Health Informatics*, 2024.
-*   📓 R. K. Mondol, E. K. A. Millar, P. H. Graham, L. Browne, A. Sowmya, and E. Meijering, ["hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images,"](https://www.mdpi.com/2072-6694/15/9/2569) in *Cancers*, 2023.
-*   📓 R. K. Mondol, N. D. Truong, M. Reza, S. Ippolito, E. Ebrahimie, and O. Kavehei, ["AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-types and Extracting Biologically Relevant Genes,"](https://ieeexplore.ieee.org/document/9378938) in *IEEE/ACM Transactions on Computational Biology and Bioinformatics*, 2021.
-### CONFERENCE PROCEEDINGS
-*   📄 R. K. Mondol, E. K. A. Millar, A. Sowmya, and E. Meijering, ["MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion,"](https://doi.org/10.1109/ISBI56570.2024.10635810) in *2024 IEEE International Symposium on Biomedical Imaging (ISBI),* Athens, Greece, 2024, pp. 1-5.
-*   📄 M.I. Khan, R. K. Mondol, M.A. Zamee, and T.A. Tarique, ["Hardware architecture design of anemia detecting regression model based on FPGA,"](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6850814&isnumber=6850678) in *International Conference on Informatics, Electronics Vision (ICIEV),* May 2014, pp. 1-5.
-*   📄 Imran Khan, and R. K. Mondol, ["FPGA based leaf chlorophyll estimating regression model,"](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7083557&isnumber=7083385) in *International Conference on Software, Knowledge, Information Management and Applications (SKIMA),* December 2014, pp. 1-6.
-*   📄 R. K. Mondol, Imran Khan, Md. A.K. Mahbubul Hye, and Asif Hassan, ["Hardware architecture design of face recognition system based on FPGA,"](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7193228&isnumber=7192777) in *International Conference on Innovations in Information Embedded and Communication Systems (ICIIECS),* March 2015, pp. 1-5.
-*   📄 A. Hassan, R. K. Mondol, and M. R. Hasan, ["Computer network design of a company — A simplistic way,"](https://doi.org/10.1109/ICACCS.2015.7324121) in *2015 International Conference on Advanced Computing and Communication Systems (ICACCS),* Coimbatore, India, March 2015, pp. 1-4.