Resume - Emran Ali

Ph.D.: IT@Deakin & CSM@Coventry University - (Ongoing)
Master's: IT(Research)@Deakin
Bachelor's: CSE@HSTU
Scholarship (Ph.D.): DUPRS, Cotutelle Std. (Deakin & Coventry)
Fellowship (Master's): BSTF, Ministry of Sci.&Tech., Bangladesh
Membership: ACS, IEEE, EMBS, DUSA, DAIS & DSEC
Industry Involvement (Research): Alfred Health and AETMOS
Teaching: HSTU & (Casual)@Deakin
Software Development: Sr. Dev.@DROIDBD & AAPBD
Projects: ICU Seizure Detection & Air Quality Prediction
Email: emran.ali@research.deakin.edu.au
Skype: wwm.emran
Website: http://www.linkedin.com/in/wwmemran
Website: https://wwm-emran.github.io

I am a Doctor of Philosophy (Ph.D.) candidate in Information Technology (IT) at Deakin University, Australia, in collaboration with Coventry University, United Kingdom. I am a research and development enthusiast in Data Analytics, Machine Learning, Interpretability and Optimisation. Experienced in: Machine Learning, Deep Learning, Health Informatics, Disease Prediction and (Physiological) Signal Processing.

Recent works with: EEG Signal, EEG Channel Optimisation, Epilepsy, Sleep, Aging, Seizure Detection, ML Model Interpretability, Meteorological Data, Air Quality Prediction.

Research Area: Artificial Intelligence (AI) | Machine Learning (ML) | Deep Learning (DL) | Interpretability* | Health Informatics* | (Bio)Signal Processing | Medical Technology (MedTech) | EEG | Epilepsy | Sleep* | Aging* | Air Quality

Key Information

Teaching experience: >10 Years
Research experience: >12 Years
Software development experience: around 3 Years
Projects with research contribution: 5
Research publications: 15
Institutional involvement: 5
Industry involvement: 5
Research collaboration with institute-industry involvement: 4
Specialisation certificate: 20

Education

Sumary

  • Ph.D. Candidate & Graduate Researcher @Deakin & Coventry University
  • Cotutelle Scholar
  • Application of AI, ML and DL in Biomedical and Health Informatics Research
  • Institution-Industry Collaboration

Doctor of Philosophy (Ph.D.) in Information Technology (IT) and Computational Science and Mathematical Modeling (CSM)

Jan. 2023 - Ongoing (Full-time)

Cotutelle (Joint) Program
Deakin University, Melbourne, Australia (Host Institute)
Coventry University, Coventry, United Kingdom (Guest Institute)

Scholarship/Funding: DUPRS (Deakin University) - During study period at Deakin University
Cotutelle Studentship (Coventry University) - During study period at Coventry University
Research Topic: A machine learning-based analysis of sleep patterns in aging using physiological signals.
Activities and Involvements: Research · Development · Industry involvement · Student community engagement - Deakin University Student Association (DUSA) · Deakin University Biomed Society (DUBS) · Deakin University Biomed Society (DUBS) · Deakin Software Engineering Club (DSEC) · Deakin AI Society (DAIS)

Master of Science (M.Sc.) by Research in Information Technology (IT)

Feb. 2020 - Aug. 2022 (Awarded in Oct. 2022) (Full-time)

Deakin University, Melbourne, Australia

Scholarship/Funding: BST Fellowship (BSTF)
Research Topic: Minimising Scalp Electroencephalograms Channels for Epileptic Seizure Detection.
Activities and Involvements: Research · Development · Industry involvement · Student community engagement - Deakin University Student Association (DUSA)

Bachelor of Science (B.Sc.) in Computer Science and Engineering (CSE)

Jan. 2007 - Dec. 2010 (Awarded in Feb. 2012) (Full-time)

Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

Research Topic: Advanced String Searching Mechanism with Indexed Binary Search for J2ME English to English Dictionary Application.
Activities and Involvements: Study · Research · Software/application development · Computer programming contest · Computer programming community - Programmers Arena

Professional Experiences

Sumary

A research and development enthusiast having 3+ years of software development & project management skills. An academician with research and industry engagement with 8+ years of experiences. Looking forward to research and development of optimised health informatics method, device and application using AI and ML.

  • Software Development, Team Management & Project Management
  • Health Informatics & Education Industries
  • Application of AI, ML and DL in Biomedical and Health Informatics Research

Research Experiences

Graduate Researcher (Ph.D. Student)

Jan. 2023 - Ongoing (Full-time)

Deakin University, Melbourne, Australia

Involvement:

  • Learning research methodology and strategy.
  • Research conduction.
  • Documentation and publishing.

Graduate Researcher (Master's Student)

Feb. 2020 - Aug. 2022 (Full-time)

Deakin University, Melbourne, Australia

Involvement:

  • Learning research methodology and strategy.
  • Research conduction.
  • Documentation and publishing.

Casual Research Assistant

Sep. 2020 - Aug. 2022 (Contract)

Deakin University, Melbourne, Australia

Involvement:

  • Research and collaboration with Monash University and Alfred Health in the initial design of a seizure detection system for ICU patients.
  • Data pre-processing and result post-processing.
  • ML and DL model evaluation, testing, and visualization.
  • Worked as an official (funded) employee from Aug 2021 to Dec 2021 and the rest of the period as a volunteer.

Casual Research Assistant

Mar. 2022 - Sep. 2022 (Contract)

Deakin University, Melbourne, Australia

Involvement:

  • A MAAP linkage ARC project funded by the Australian Research Council (ARC).
  • Research and collaboration with Monash University and AETMOS (https://aetmos.com.au/) for Air Quality Prediction.
  • Air Quality and Indoor Air Temperature Prediction from meteorological and traffic data.
  • Effect of indoor and outdoor temperature on people's health.
  • Application of Deep Learning (DL).

Research Supervisor

Sep. 2014 - Jan. 2020 (Full-time)

Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

Involvement:

  • Research conduction.
  • Research supervision of undergraduate students.

Industrial (Software) Experiences

Project Development Manager & Senior Software Engineer

Jan. 2014 - Aug. 2014 (Full-time)

Advanced Apps Bangladesh (AAPBD) Ltd., Dhaka, Bangladesh

Responsibilities:

  • AAPBD previously was DROIDBD, and currently working as AppBajar and The Borak.
  • Project Management: Project management, app design, app testing, and client management.
  • Involved in the development of more than 50 apps.
  • iOS application design, development, implementation, testing and instructing new members.
  • Other platforms: Android apps, web apps using PHP, MySQL, JS etc

Senior Software Engineer

May. 2012 - Dec. 2013 (Full-time)

Droid Bangladesh (DROIDBD) Ltd., Dhaka, Bangladesh

Responsibilities:

  • iOS application design, development, implementation, testing and instructing new members

Programmer

Feb. 2012 - May. 2012 (Full-time)

Kento Studios Ltd., Dhaka, Bangladesh

Responsibilities:

  • iOS application design, development, testing and Game design

Teaching Experiences

Casual Academic Staff

Jun. 2020 - present (Contract)

Deakin University, Melbourne, Australia

Responsibilities:

  • Course assistance.
  • Assistance in examination process and evaluation.
  • Assistance in student HelpHub.
Course Involvement:
  • SIT720-Machine Learning; MIS710-Machine Learning in Business; MIS384-Marketing Analytics; MIS781-Business Intelligence and Database;
  • Other miscellaneous courses: Database, Computer programming (C, C++, C#)

Assistant Professor

Sep. 2017 - Present (Full-time)

Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

Responsibilities:

  • Course (theory and sessional) conduction, examination process and evaluation.
  • Research conduction and supervision.
  • Currently on leave for higher studies since February 2020.

Lecturer

Sep. 2014 - Aug. 2017 (Full-time)

Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh

Responsibilities:

  • Course (theory and sessional) conduction, examination process and evaluation.
  • Research conduction and supervision.

Expertise, Skills and Achievements

All the expertise, skills and achievements from study and professional careers.

Skills and Tools

From the personal assessment of learning, I am well equipped with the latest data analytics and signal processing technologies.

Programming: Python, Java, C, C++, SQL, R, Swift, Objective-C, PHP
Datascience: Data Analytics, Feature Engineering, Numpy, Pandas, Matplotlib
Signal Processing: EEG
Machine Learning: Scikit-learn, PyCaret, Darts
Deep Learning: Pytorch, Tensorflow, Keras
Could Platforms: MS Azure, Azure ML Designer
Teaching: Demonstration
Reporting and Presentation: LaTeX, MS Word, MS Excel, MS Powerpoint, Illustrator
Management and Leadership: Project Management, Team Lead, Client Management
Soft Skills: Critical Thinking, Problem Solving, Communication, Collaboration

Honors and Awards

Honors and Awards achieved throughout the study and professional career.

AWS AI/ML Scholarship

AWS AI/ML Scholarships (Phase 1 and 2) for 2 Udacity nanodegrees worth more than $8,000

Cotutelle Studentship

Joint Ph.D. Program & Funding (During study period at Coventry University) - CSM, Coventry University · (Ongoing)

DUPR Scholarship

Joint Ph.D. Program & Funding (During study period at Deakin University) - DUPR, Deakin University · (Ongoing)

Best Presentation Award

Annual School Conference - School of IT, Deakin University · Dec 2021

BST Fellowship (BSTF)

Fully funded fellowship for higher education - BSTF Trust, Ministry of Science and Technology, Bangladesh · Feb 2020

Best Employee Award

Best employee of year 2014 - Advanced Apps Bangladesh (AAPBD) Ltd., Bangladesh · Jul 2014

Country Topper (Bangladesh)

Post-graduation Entrance Exam - South Asian University (SAU), New Dehli, India · Apr 2013

Undergraduate Department Topper

First Place from the undergrad batch - HSTU, Bangladesh · Mar 2012

InUPC Champion

Intra-University Programming Contest (InUPC) Champion - HSTU, Bangladesh · Feb 2009

Courses, Trainings and Certificates

All the completed courses, trainings and achieved certificates.

AWS Udacity - AI Programming with Python (Nanodegree): AI Programming with Python (Nanodegree by Udacity); Among chosen 2,000 students from "AWS Deep Racer" challenge; Wroth $4,000; 5 month duration, 6 online courses, weekly connect sessions; Knowledge Python programming, Machine Learning (ML), Deep Learning (DL); different data manipulation, visualisation, ML and DL libraries; Pytorch package for transformer and custom DL models; 2 computer vision projects with DL.
AWS Udacity - AWS Machine Learning Fundamentals (Nanodegree): AWS Machine Learning Fundamentals (Nanodegree by Udacity); Funded by AWS AI/ML Scholarship (Phase 2 - Summer 2024); Among chosen 500 students from Scholarship Phase 1; Wroth more than $4,000; 5 month duration, 4 online courses, weekly connect sessions; Knowledge Machine Learning (ML), Deep Learning (DL), Convolutional Neural Network (CNN), ML Workflow with AWS (preprocessing to deployment automation), and related optimisation techniques using AWS cloud platform; 4 projects with ML, DL and AWS cloud platform.
Microsoft - Microsoft Certified: Azure AI Fundamental (AI900): Offered by Akkodis (Microsoft Skills and Certification Bootcamp 2024); 2 weeks training + certificate exam voucher; Microsoft Azure, Azure cloud platform, Azure AI, Applid ML, Generative and responsible AI.
Microsoft - Microsoft Certified: Azure Data Fundamental (DP900): Offered by Akkodis (Microsoft Skills and Certification Bootcamp); Extra certificate exam voucher from Microsoft Skills and Certification Bootcamp 2024 for best performers; Microsoft Azure, Database Management, Azure Database, SQL, Microsoft SQL, Azure data storage.
g·tec Neurotechnology Spring School 2022: 10 days, 130 hours, 12 credits. Academic and industrial topics. Healthcare, Games, VR, Sports, Entertainment, Production, Education & Research industries.
IEEE EMBS - Summer Camp 2022: Organized by EMBS Students Activities Committee (SAC). Total 8 days, 24 hours. About recent and trending researches, especially- Healthcare, Sports, Production industries related researches.
Google Cloud Infrastructures: Google Cloud Infrastructures, 2022. Google Cloud IaaS. Part-wise test.
Kaggle - Intermediate Machine Learning: Offered by Kaggle; 14 hours, 7 Lessons; Lessons + hands on practice test; Intermediate level knowledge of ML: data preparation, cross validation, XGBoost, data leackage.
Section Leader - Code in Place 2023: Offered by Standford University (online); 6 weeks, 1.5 hours session per week; Instructed student to help learning Python; Teaching a variety of students from diverse background.

Projects

Projects and project involvement as professional person.

Researcher

Project: A MACHINE LEARNING BASED ANALYSIS OF SLEEP PATTERNS IN AGING USING PHYSIOLOGICAL SIGNALS.
Funding: Centre for Computational Science and Mathematical Modelling - Modelling, Coventry University, United Kingdom. (Jan. 2023 - Ongoing).

Research Assistant

Project: Air Quality Prediction (Temperature Prediction) for Indoor Environments in Different Cities of Australia.
Funding: An MAAP linkage project funded by the Australian Research Council (ARC). (Mar. 2022 - Dec. 2022).

Research Assistant

Project: Channel minimisation and epileptic seizure detection using single channels using Deep Learning from continuous iEEG of ICU patients.
Funding: A voluntary collaboration of Deakin University, Monash University and Alfred Health. (Apr. 2020 - Mar. 2022) - (Paused).

Project Research Associate

Project: DESIGNING A 3-LAYER NETWORK SECURITY TECHNIQUE IN SERVERS FOR PREVENTION OF DDOS ATTACK.
Funding: Institute of Research and Technology (IRT), HSTU. (Jul. 2018 - Jun. 2019).

Project Research Associate

Project: ANALYSIS AND DESIGN OF A NON-INVASIVE WAY OF MEASURING AND MONITORING BLOOD-SODIUM CONCENTRATION LEVEL USING NEAR-INFRARED SPECTROSCOPY.
Funding: Institute of Research and Technology (IRT), HSTU. (Jul. 2018 - Jun. 2019).

Memberships

Organisational and voluntary memberships as student and professional.

ACS Associate Member

Associate Member, Australian Computer Society · Aug. 2023 - Present

DUSA Member

Deakin University Student Association Member - Deakin University · Apr. 2020 - Present

DSEC Member

Deakin University Software Engineering Club Member - Deakin University · Jan. 2023 - Present

DAIS Member

Deakin AI Society Member - Deakin University · Jan. 2023 - Present

IEEE Student Member

IEEE Student Member - IEEE · Jan. 2022 - Present

EMBS Student Member

IEEE Engineering in Medicine and Biology Society (EMBS) Student Member - IEEE · Jan. 2022 - Present

IEEE Young Professionals

IEEE Young Professionals - IEEE · Jan. 2022 - Present

Advisor and Founding Member

Programmers Arena - HSTU · Sept. 2014 - Present

Advisor

Association of Faculty of CSE (AFCSE) - HSTU · Sept. 2014 - Present

Session Lead

Experience as a session chair or keynote speaker.

Keynote Speaker

Keynote Speaker, A seminar on career development and future of Mobile Application Development in Bangladesh, Organized by AFCSE, HSTU on Apr. 2015

Speaker

Speaker, A seminar on Higher Studies in Abroad - Journey to Australia and Research Experiences, Organized by CSE Club, HSTU on September. 2022

Languages

Language proficiency in Listening(L), Reading(R), Writing(W) and Speaking(S).

Bengali

Mother tongue · Excellent LRWS skills.

English

Medium of instruction at HSTU and Deakin University · IELTS (6.5) - LRWS (6.0,6.5,6.5,7.0) - 2019.

Spanish

Beginner level self learner.

Github Repositories

Github repositories that are publicly available only with my significant contribution.

DIHC_Downloader

A fully python based library to download the contents from a web directory including subdirectories and files.

DIHC_FeatureManager

A python and Matlab based library to do feature extraction and feature engineering related task for Machine Learning.

AWS_Udacity_AIML_Scholarship_Program

A python Machine Learning and Deep Learning repository containing all the projects completed in AWS AI/ML Scholarship (Phase 1 and 2) programs. It contains total 6 projects from 2 Udacity nanodegree.

Publications

All the publications (reports and articles) in journal, conference, poster, symposium, blog, etc.

Journals

Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

Emran Ali, Maia Angelova, Chandan Karmakar, "Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives," in Journal of The Royal Society Open Science (RSOS), vol. 11, no. 6, pp. 230601, May 2024.

DOI/Link: 10.1098/rsos.230601

Sensor-based indoor air temperature prediction using deep ensemble machine learning: An Australian urban environment case study

Wenhua Yu, Bahareh Nakisa, Emran Ali, Seng W Loke, Svetlana Stevanovic, Yuming Guo, "Sensor-based indoor air temperature prediction using deep ensemble machine learning: An Australian urban environment case study," in International Journal of Urban Climate (UClim), vol. 51, no. -, pp. 101599, 1 September 2023.

DOI/Link: 10.1016/j.uclim.2023.101599

A LSB Based Image Steganography Using Random Pixel and Bit Selection for High Payload

U. A. Md. Ehsan Ali, Emran Ali, Md. Sohrawordi and Md. Nahid Sultan, "A LSB Based Image Steganography Using Random Pixel and Bit Selection for High Payload," in International Journal of Mathematical Sciences and Computing (IJMSC), vol. 7, no. 3, pp. 24-31, 8 August 2021.

DOI/Link: 10.5815/ijmsc.2021.03.03

Enhancement of single-handed Bengali sign language recognition based on HOG features

Tasnim Tabassum, Iqbal Mahmud, Md Palash Uddin, Ali Emran, Masud IBN Afjal and Adiba Mahjabin Nitu, "Enhancement of single-handed Bengali sign language recognition based on HOG features," in Journal of Theoretical and Applied Information Technology (JTAIT), vol. 98, no. 5, pp. 743-756, 15 March 2020.

DOI/Link: http://www.jatit.org/

Mapping Character Position Based Cryptographic algorithm with Numerical Conversions

MahmudulHasan Moon, A K M Tanzimul Islam Tanim, Md. Zillani Shoykot, Md. Nahid Sultan, U.A. Md. Ehsan Ali and Emran Ali, "Mapping Character Position Based Cryptographic algorithm with Numerical Conversions," in International Journal of Computer Science and Software Engineering (IJCSSE), vol. 9, no. 3, pp. 12-15, March 2020.

DOI/Link: https://ijcsse.org/

Pseudo random ternary sequence and its autocorrelation property over finite field

Md Arshad Ali, Ali Emran, Md Ahsan Habib, Md Nadim, Takuya Kusaka and Yasuyuki Nogami, "Pseudo random ternary sequence and its autocorrelation property over finite field," in International Journal of Computer Network and Information Security (IJCNIS), vol. 9, no. 7, pp. 54-63, 1 September 2017.

DOI/Link: 10.5815/ijcnis.2017.09.07

Smart Campus Using IoT with Bangladesh Perspective: A Possibility and Limitation

Md Nahid Sultan, Emran Ali, Md Arshad Ali, Md Nadim and Md Ahsan Habib, "Smart Campus Using IoT with Bangladesh Perspective: A Possibility and Limitation," in International Journal for Research in Applied Science & Engineering (IJRASE), vol. 5, no. 8, pp. 1681-1690, 30 August 2017.

DOI/Link: 10.22214/IJRASET.2017.8239

Study of Abstractive Text Summarization Techniques

S. Yeasmin, P.B. Tumpa, A.M. Nitu, M.P. Uddin, E. Ali and M.I. Afjal, "Study of Abstractive Text Summarization Techniques," in American Journal of Engineering Research (AJER), vol. 6, no. 8, pp. 253-260, 24 August 2017.

DOI/Link: https://www.ajer.org/

Performance Analysis of Energy Detection Based Spectrum Sensing Over Wireless Non-Fading AWGN Channels in Cognitive Radio Network

Nahid Sultan, Emran Ali, Md. Ahsan Habib and Md. Ibrahim Abdullah, "Performance Analysis of Energy Detection Based Spectrum Sensing Over Wireless Non-Fading AWGN Channels in Cognitive Radio Network," in International Journal of Scientific & Engineering Research (IJSER), vol. 8, no. 1, pp. 1082-1085, January 2017.

DOI/Link: https://www.ijser.org/

Posters

Deep Learning Model for Detection of Electrographic Seizures from continuous EEG in ICU patients

Ahsan Habib, Xiuxian Pham, Radhagayathri Udhayakumar, Emran Ali, Daniel Thom, Joshua Laing, Chandan Karmakar, Patrick Kwan, Terence O'Brien, "Deep Learning Model for Detection of Electrographic Seizures from continuous EEG in ICU patients," American Epilepsy Society (AES) Annual Conference 2021, Categories : Neurophysiology, Submission Category: 3. Neurophysiology / 3G. Computational Analysis & Modeling of EEG, Submission ID: 1886502, 22 November 2021.

DOI/Link: https://www.aesnet.org/ (https://cms.aesnet.org/)

Conferences

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

E. Ali, R. K. Udhayakumar, M. Angelova and C. Karmakar, "Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1082-1085, doi: 10.1109/EMBC46164.2021.9629538.

DOI/Link: 10.1109/EMBC46164.2021.9629538

Efficient Noise Reduction and HOG Feature Extraction for Sign Language Recognition

I. Mahmud, T. Tabassum, M. P. Uddin, E. Ali, A. M. Nitu and M. I. Afjal, "Efficient Noise Reduction and HOG Feature Extraction for Sign Language Recognition," 2018 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), 2018, pp. 1-4, doi: 10.1109/ICAEEE.2018.8642983.

DOI/Link: 10.1109/ICAEEE.2018.8642983

Indexed Binary Search based efficient search generator for J2ME English to English dictionary

Md. Palash Uddin, E. Ali, Md. Abu Marjan and M. A. A. Mamun, "Indexed Binary Search based efficient search generator for J2ME English to English dictionary," 2014 International Conference on Informatics, Electronics & Vision (ICIEV), 2014, pp. 1-6, doi: 10.1109/ICIEV.2014.6850692.

DOI/Link: 10.1109/ICIEV.2014.6850692

Contact

Please feel free to contact me.

Location:: Melbourne, Australia
Email: emran.ali@research.deakin.edu.au
Skype: wwm.emran
LinkedIn: @wwmemran
Google Scholar: @ej8d6LkAAAAJ
LinkedIn: @Emran-Ali-2