About Me

Hi, I'm Faisal!

I am a PhD student in Computer Science at the University of California, Riverside. Prof. Stefano Lonardi is my PhD supervisor. I work with him to solve computationally challenging biological problems in his lab. My research interests include problems in computational biology, bioinformatics, and machine learning. My vision is to analyze biological data to solve problems and design tools using Machine Learning.
For about 6 years, I taught at the university level. For the Computer Science undergraduate program, I mostly took classes of Discrete Mathematics, Programming Languages, Database Systems, Operating Systems, and Artificial Intelligence. I am currently on leave from Brac University,Bangladesh. I earned my Bachelors in Computer Science and Engineering (CSE) from Islamic University of Technology (IUT). I'm from a lovely city of the country - Chattogram.

Latest News

  • Sep 23: Paper on bioactivity prediction of drug candidates against SARS-CoV-2 published at PLOS ONE.
  • Feb 23: Sub-reviewer at ISMB/ECCB 2023.
  • Dec 22: Paper on yoga pose classification accepted at SN Computer Science
  • Nov 22: Sub-reviewer at RECOMB'23.
  • Sep 22: Started PhD in Computer Science at UC Riverside!
  • Feb 22: Paper on ML classifiers for different heart diseases patients data accepted at ICAEEE'2022!

List of My Publications To see my updated publications, visit my Google Scholar profile: click here

2023

  • Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches
    In Plos ONE, 18(9), 2023
    Faisal Bin Ashraf, Sanjida Akter, Sumona Hoque Mumu, Muhammad Usama Islam, Jasim Uddin
  • YoNet: A Neural Network for Yoga Pose Classification
    In SN Computer Science, 4(2), 2023
    Faisal Bin Ashraf, Muhammad Usama Islam, Md Rayhan Kabir, Jasim Uddin
  • Predicting Mushroom Edibility with Effective Classification and Efficient Feature Selection Techniques
    In 2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2023
    Md Samin Morshed, Faisal Bin Ashraf, Muhammad Usama Islam, Md Shafiur Raihan Shafi

2022

  • A Machine Learning Approach to Predict Movie Success from Youtube Trailer Comments
    In 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022
    Farden Ehsan Khan, Ahmed Mahir Ruhan, Rifat Shamsuddin, Faisal Bin Ashraf
  • An Efficient Deep Learning Technique for Bangla Fake News Detection
    In 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022
    Md Shahriar Rahman, Faisal Bin Ashraf, Md Rayhan Kabir
  • Sentiment Analysis on COVID-19 Tweets
    In 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022
    Shadman Sakib Ayon, Samira Ishrat, Sadia Afrin Mallick, Prodip Chandra Das, Faisal Bin Ashraf
  • Machine Learning Approaches to Metastasis Bladder and Secondary Pulmonary Cancer Classification Using Gene Expression Data
    In 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022
    Ishraq R Rahman, Shovito Barua Soumma, Faisal Bin Ashraf
  • An Efficient Text Preprocessing and Classification Technique for Multilingual and Transliterated Data
    In 2022 25th International Conference on Computer and Information Technology (ICCIT), 2022
    Towhid Khan, David Dew Mallick, Md Shakiful Islam Khan, Md Mahadi Hasan, Faisal Bin Ashraf
  • Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
    In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2022
    Fahima Hasan Athina, Sadaf Ahmed Sara, Quazi Sabrina Sarwar, Nishat Tabassum, Mun Tarin Jannat Era, Faisal Bin Ashraf, Muhammad Iqbal Hossain
  • Classifying Insect Pests from Image Data using Deep Learning
    In 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2022
    Md Raiyan Bin Mohsin, Sadia Afrin Ramisa, Mohammad Saad, Shahreen Husne Rabbani, Salwa Tamkin, Faisal Bin Ashraf, Md Tanzim Reza
  • Cancer Diseases Diagnosis Using Deep Transfer Learning Architectures
    In International Conference on Machine Intelligence and Emerging Technologies, 2022
    Tania Ferdousey Promy, Nadia Islam Joya, Tasfia Haque Turna, Zinia Nawrin Sukhi, Faisal Bin Ashraf, Jia Uddin
  • An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study.
    In JMIR Bioinformatics and Biotechnology, 3(1), p.e30890, 2022
    Joydhriti Choudhury, Faisal Bin Ashraf
  • ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection.
    In 2022 International Conference on Decision Aid Sciences and Applications (DASA), pp. 911-916. IEEE, 2022
    Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil, Ahmed Ann Noor Ryen, Arman Hossain, Faisal Bin Ashraf, Muhammad Iqbal Hossain
  • Identification of Cardiovascular Disorders Using Machine Learning Classification Algorithms.
    In 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), pp. 1-6. IEEE, 2022
    Faisal Bin Ashraf, Tanvinur Rahman Siam, Zulker Nayen, and Farhan Uz Zaman

2021

  • An Improved K-means Clustering Algorithm for Multi-dimensional Multi-cluster data Using Meta-heuristics.
    In 2021 24th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2021
    Faisal Bin Ashraf, Abdul Matin, Md Shafiur Raihan Shafi, and Muhammad Usama Islam
  • IoT-Blockchain in Remote Patient Monitoring.
    ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai, UAE, 2021
    Faisal Bin Ashraf, and Rezwana Reaz
  • Finding Efficient Machine Learning Model for Hand Gesture Classification Using EMG Data.
    In 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 1-6. IEEE, 2021
    Adria Binte Habib, Faisal Bin Ashraf, and Arif Shakil
  • Character Animation Using Reinforcement Learning and Imitation Learning Algorithms.
    In 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 1-6. IEEE, 2021
    Tokey Tahmid, Mohammad Abu Lobabah, Muntasir Ahsan, Raisa Zarin, Sabah Shahnoor Anis, and Faisal Bin Ashraf
  • Amazon Product Reviews: Sentiment Analysis Using Supervised Learning Algorithms.
    In 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), pp. 1-6. IEEE, 2021
    Mohibullah Hawlader, Arjan Ghosh, Zaoyad Khan Raad, Wali Ahad Chowdhury, Md Sazzad Hossain Shehan, and Faisal Bin Ashraf
  • A Comparative Study of Different Text Classification Approaches for Bangla News Classification.
    In 2021 24th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2021
    Kamrus Salehin, M. Kaosar Alam, Md Ashifun Nabi, Fahim Ahmed, and Faisal Bin Ashraf
  • Bangla Online Comments Dataset.
    Mendeley Data 1 (2021)
    Md Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, and Faisal Bin Ashraf
  • Bangla text dataset and exploratory analysis for online harassment detection.
    arXiv preprint arXiv:2102.02478
    Md Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, and Faisal Bin Ashraf
  • Cyberbullying Detection Using Deep Neural Network from Social Media Comments in Bangla Language.
    arXiv preprint arXiv:2106.04506
    Md Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, and Faisal Bin Ashraf

2020

  • MFEA: An Evolutionary Approach for Motif Finding in DNA Sequences.
    In Informatics in Medicine Unlocked (2020): 100466
    Faisal Bin Ashraf, and Md Shafiur Raihan Shafi
  • Host trait prediction from human microbiome data for Colorectal Cancer.
    In 2020 23rd International Conference on Computer and Information Technology (ICCIT), pp. 1-5. IEEE, 2020
    Faisal Bin Ashraf, Md Shafiur Raihan Shafi, and Md Rayhan Kabir
  • Finding homogeneous climate zones in bangladesh from statistical analysis of climate data using machine learning technique.
    In 2020 23rd International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2020
    Faisal Bin Ashraf, Md Rayhan Kabir, Md Shafiur Raihan Shafi, and Jubair Ibn Malik Rifat
  • Predicting priority needs for Rehabilitation of refugees based on machine learning techniques from monitoring data of Rohingya refugees in Bangladesh.
    In 2020 IEEE Region 10 Symposium (TENSYMP), pp. 210-213. IEEE, 2020
    Joydhriti Choudhury, Faisal Bin Ashraf, Arif Shakil, and Nahian Raonak

2019

  • Comparative analysis on Prediction Models with various Data Preprocessings in the Prognosis of Cervical Cancer.
    In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2019
    Abdullah, Faisal Bin Ashraf, and Nusrat Suzana Momo
  • A novel gene-tree based approach to infer relations among disease-genes across different cancer types.
    In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-5. IEEE, 2019
    Faisal Bin Ashraf, Rasif Ajwad, and M. A. Mottalib
  • Analysis of Different Predicting Model for Online Shoppers’ Purchase Intention from Empirical Data.
    In 2019 22nd International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2019
    Md Rayhan Kabir, Faisal Bin Ashraf, and Rasif Ajwad
  • A Framework For Disease Identification From Unstructured Data Using Text Classification And Disease Knowledge Base.
    In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), pp. 547-554. IEEE, 2019
    Fahim Faisal, Shafkat Ahmed Bhuiyan, Faisal Bin Ashraf, and Abu Raihan Mostofa Kamal
  • Identifying the best metrics to find the best quality clusters of genes from gene expression data.
    In 2019 6th International Conference on Bioinformatics Research and Applications, pp. 43-48. 2019
    Rayon, Raihanoor Reza, Joydhriti Choudhury, Md Tawhidul Islam, Tanzima Rahman Roshni, Faisal Bin Ashraf, Rasif Ajwad, and Md Abdul Mottalib

2017

  • RPPMD (Randomly projected possible motif discovery): An efficient bucketing method for finding DNA planted Motif.
    In 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 509-513. IEEE, 2017
    Faisal Bin Ashraf, Ali Imam Abir, Md Sirajus Salekin, and M. A. Mottalib
  • Polarity detection of online news articles based on sentence structure and dynamic dictionary.
    In 2017 20th International Conference of Computer and Information Technology (ICCIT), pp. 1-5. IEEE, 2017
    Muhammad Usama Islam, Faisal Bin Ashraf, Ali Imam Abir, and M. A. Mottalib
  • Yoga posture recognition by detecting human joint points in real time using microsoft kinect.
    In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 668-673. IEEE, 2017
    Muhammad Usama Islam, Hasan Mahmud, Faisal Bin Ashraf, Iqbal Hossain, and Md Kamrul Hasan

Reviewer Work

My Skills

Python, C

100%

C++, Java

100%

PyTorch, Tensorflow, Keras

100%

HTML5, CSS3, JS, Php, MySQL

90%

Latex

100%
Courses Taught
'
  • Operating Systems (theory and lab) (Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020)
  • Database Systems (theory and lab) (Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019)
  • Discrete Mathematics (Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018)
  • Artificial Intelligence Lab (Fall 2019, Summer 2019, Spring 2019)
  • Programming Language Lab (Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018)
  • Algorithms Lab (Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018)
  • Computer Networks Lab (Summer 2018, Spring 2018)
Experience

Work Experience

Graduate Student Researcher 2023 - Present

Department of Computer Science and Engineering, University of California, Riverside
California, USA

Lecturer 2018 - 2022

Department of Computer Science and Engineering, Brac University
Dhaka, Bangladesh

Lecturer 2017 - 2018

Department of Computer Science and Engineering, Uttara University
Dhaka, Bangladesh