Sakib Mahmud Email & Phone Number
@qu.edu.qa
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Sakib Mahmud is listed as Research Associate at Qatar University, based in Al Wakrah, Qatar. AeroLeads shows a work email signal at qu.edu.qa and a matched LinkedIn profile for Sakib Mahmud.
Sakib Mahmud previously worked as Research Assistant at Qatar University and Undergraduate Student Researcher at Qatar University. Sakib Mahmud holds Master Of Science, Electrical Engineering, 3.50/4.00 from Qatar University.
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About Sakib Mahmud
Currently working as a Graduate Research Assistant (GRA) at Qatar University, I have been a part of a few medium to large scale projects funded by Qatar National Research Fund (QNRF) and Qatar University (QU)’s Internal Grants. I completed my BSc. in Electrical Engineering (EE) with Honors during 2020, and currently pursuing my Masters in Electrical Engineering. I have around 2 years of experience in the applications of Artificial Intelligence and Machine Learning in the fields of Biomedical Engineering, Healthcare, and Medicine, Communications Engineering, etc. I am also preparing for a career in Data Science and Data Analytics.
Listed skills include Leadership, Bluetooth Low Energy, Arduino, Data Science, and 30 others.
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Sakib Mahmud work experience
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Research Associate
CurrentCurrently working as a full-time research associate in Qatar University.Hiring Grant Details:1. Iberdrola Grant: QUEX-CENG-IBERDROLA-23/24-2, "Non-Intrusive Presence Detection from Smart Meter Data." - (July 2023 - July 2024).2. Qatar National Research Fund (QNRF): NPRP14S-0401-210122, "E-Tawfeer: A Secure Edge-Based Energy Efficiency Platform Using Artificial Intelligence for Behavioral Change." - (August 2024 – Present)
Research Assistant
As a Full-time Research Assistant (RA) at Qatar University's Department of Electrical Engineering, I was hired in multiple large-scale funded projects. Details of my contributions to these projects can be found in my Resume and the relevant published journal articles or conference papers.Resume Link: https://shorturl.at/aiwIQHiring Grant Details:1. Qatar University High Impact Grant: QUHI-CENG-22/23-548, "QSCare: A Smart Wearable AI-Based Cardiovascular Disease Detection System." - (June 2022 - July 2023).2. Qatar National Research Priorities: NPRP11S-0102-180178, "Development of Smart Wireless Bio-mimetic Nacre like Metal-oxide/Polymer/Ceramic Composite Implants for Bone Revision Surgery Retardation." - (July 2021 - May 2022).3. Qatar National Research Priorities: NPRP12S-0227-190164, “A Novel Contactless ANFIS-EMG Wearable Device for Diabetic Sensorimotor Polyneuropathy (DSPN)” - (April 2021 - June 2021).4. Qatar University Emergency Response Concept Development Grant: ERCD-CENG-2020-1, “COVIDCARE: An IoT Platform for Remotely Monitoring the Vital Signs of COVID-19 Patients” - (November 2020 - April 2021).5. Qatar University Concept Development Grant: QUCD-CENG-2020-1, “A Smart Insole for Early Detection of Diabetic Foot Ulcer (DFU) using Fiber Bragg Grating (FBG)” - (June 2020 - November 2020).
Undergraduate Student Researcher
As an Undergraduate Research Assistant (UGRA) at Qatar University's Department of Electrical Engineering, I participated in four projects under the Undergraduate Research Experience Program (UREP), two of which I was officially hired for. Details of my contributions to these projects can be found in my Resume and the relevant published journal articles or conference papers.Resume Link: https://shorturl.at/aiwIQHiring Grant Details:1. Qatar National Research Priorities: UREP23-031-2-014, "Design and Implementation of a Wearable Smart Insole for Studying Altered Vertical Ground Reaction Forces (GRFs) in Diabetic Sensorimotor Polyneuropathy (DSPN)." - (Jan 2020 - Jun 2020)2. Qatar National Research Priorities: UREP22-003-2-001, "Qatar National Research Fund (QNRF) funded Joint Research of QU & Hamad Medical Corporation (HMC). Developed a Human Circulatory System Simulation for Extracorporeal Membrane Oxygenation (ECMO) Therapy." - (Jun 2017 - August 2019)
Administrative Assistant And Data Analyst
I worked as a part-time student employee in Qatar University's academic advising office for approximately one year. My responsibilities included:1. Assisting in data collection, analysis, and visualization using tools such as Microsoft Excel, Microsoft Word, etc.2. Creating effective visualizations and automating data analytical workflows through tools such as Visual Basic, Macros, etc.2. Assisting in various official tasks.
Data Scientist
Worked as a Data Scientist on a collaborative project entitled "Non-Intrusive Presence Detection from Smart Meter Data" under Qatar University (QU) and Iberdrola Middle East (IB-ME). My responsibilities included:1. Non-intrusive load monitoring (NILM) for multiple household appliances based on smart meter data.2. Non-intrusive occupancy monitoring (NIOM) using smart meter data.3. Using deep machine learning techniques such as 1D-reconstruction and 1D-classification networks to develop the solutions.
Research Assistant
HMC Internal Grant: MRC-01-21-1027, “Severity Stratification of Prenatal Hydronephrosis using Deep Learning by Ultrasonography”, a collaborative research project between Hamad Medical Corporation (HMC), Qatar University (QU) and Sidra Medicine.1. Created the first-ever benchmark ultrasonography dataset for AHN (HMC-QU-AHN) in Qatar based on data collected from HMC and Sidra Medicine.2. Detected Ultrasound (US) region of interest (ROI) using YOLO, segmented kidney and hydronephrosis fluid regions using 2D-CNN-based models. Proposed novel models and beat state-of-the-art (SOTA) models for all phases.3. Developed an AI-enabled application for Antenatal Hydronephrosis (AHN) detection and severity grading from segmented kidney and/or fluid regions from renal-US images.4. Proposed AI-based novel metrics for AHN severity grading from renal-US images.
Summer Research Intern
Worked on a Bioinformatics project entitled "Mendelian disease RNA-seq abnormal gene discovery".
Lead Machine Learning Engineer
Project: Improving Electric Vehicle (EVs) Charging Network Management by Analyzing EV Charging Data, in a collaboration between Omdena, EnergyTech Hub Melbourne, and C4NET.Contributions:1. Worked on Background Research and literature on the relevant topic as a Machine Learning Engineer with an Electrical Engineering Background.2. Helped in Data Preparation, processing, and creating EDA pipelines.3. Provided the team with technical advice related to Power Management, Transmission, etc. in/with the presence of the collaborating experts.4. Worked on largescale Time Series data for predicting EV charging station location, consumer density/requirement estimation, peak hour forecasting, etc. through various ML techniques such as Clustering. 5. Led the tasks as a Lead ML Engineer.
Junior Machine Learning Engineer
Project: Predicting Climate & Geopolitical Risks for Financing Water & Energy Needs in West & Central Africa, in a collaboration between Omdena and Finz.Contributions:1. Prepared an end-to-end pipeline for multiclass segmentation of satellite images using UNet and its variants.2. Gained skills such as Remote Sensing, Satellite Imagery, Various bands of multichannel images, Image Processing, etc.3. As a Junior ML Engineer, led one major task in place of a Task-leader during the last half of the challenge.
Iot & Computer Vision Intern
Artificial Intelligence Trainee
Artificial Intelligence (AI) Training by a collaboration of ZAKA and Microsoft; was among around 100 selected applicants in this program from 2500+ candidates from various Universities in the Middle East and North Africa (MENA) Region. I was among the 40-50 people who could successfully complete this program after fulfilling all requirements.Skills gained:1. Data Science Concepts such as Data Science Lifecycle.2. Explored Python Libraries such as NumPy, Pandas, Matplotlib, etc.3. Built, Trained, and Tested Deep Learning-based Convolutional Neural Networks (CNN) models.4. Deep Learning (in KERAS/PyTorch) for Image Classification.5. Natural Language Processing (NLP) for Sentiment Analysis and Speech Recognition Basics.6. Gained core concepts in Azure and Cloud Computing in general, and gained AZ-900, DP-900, and AI-900 Azure Certificates from Microsoft.
Data Science Intern
Skills gained:1. Version Control Systems (GitHub and Bitbucket).2. AGILE methodologies (SCRUM, KANBAN, etc.).3. Two projects for Exploratory Data Analysis (EDA), and ML and DL Model development in Python.4. Flask or Django to deploy ML models in Webapps.5. Cloud and API Deployment.6. File Ingestion and Schema Validation (Dask, Modin, Ray, Pandas).7. Object Serialization using JSON, Pickle, YAML, etc.8. Postman for API development.
Electrical Structural Engineering Intern
Worked as an Electrical Engineering Intern in the ECG Branch in Doha, Qatar during the Summer of 2019.Experience Gained:1. Field Trained in two skyscraper construction projects (Somerset and J.W. Marriott) in Al Dafna, Doha.2. Hands-on training on project documents such as Pre-Design, IFT, IFC, RFI, Process Drawings, As-built drawings, etc. 3. Attended lectures on various local and international regulations such as Qatar Construction Specifications (QCS), Kahramaa & Ooredoo Specifications, British Standards (BSI), Safety Specifications from Qatar Civil Defense (QCDD), IEEE Standards, etc. 4. Trained on Extra Low Voltage (ELV) systems such as Computer Networks, IPTV, IP-CCTV Systems, Fire Alarm systems, etc. 5. Used DIALux to design indoor and outdoor lightings, and AutoCAD to design electrical distribution systems. 6. Designed a Single Line Diagram (SLD) for an HVAC Cooling System.
Sakib Mahmud education
Master Of Science, Electrical Engineering, 3.50/4.00
Bachelor Of Science (Honors Student, Graduated With Distinction), Electrical And Electronics Engineering, 3.51/4.00
Secondary School, High School, Science, Gpa 5.00/5.00 In Both Ssc And Hsc
Primary School, Middle School, General Studies
Primary School, General Studies
Frequently asked questions about Sakib Mahmud
Quick answers generated from the profile data available on this page.
What company does Sakib Mahmud work for?
Sakib Mahmud works for Qatar University.
What is Sakib Mahmud's role at Qatar University?
Sakib Mahmud is listed as Research Associate at Qatar University.
What is Sakib Mahmud's email address?
AeroLeads has found 1 work email signal at @qu.edu.qa for Sakib Mahmud at Qatar University.
Where is Sakib Mahmud based?
Sakib Mahmud is based in Al Wakrah, Qatar while working with Qatar University.
What companies has Sakib Mahmud worked for?
Sakib Mahmud has worked for Qatar University, Iberdrola, Hamad Medical Corporation, Qatar Computing Research Institute, and Omdena.
How can I contact Sakib Mahmud?
You can use AeroLeads to view verified contact signals for Sakib Mahmud at Qatar University, including work email, phone, and LinkedIn data when available.
What schools did Sakib Mahmud attend?
Sakib Mahmud holds Master Of Science, Electrical Engineering, 3.50/4.00 from Qatar University.
What skills is Sakib Mahmud known for?
Sakib Mahmud is listed with skills including Leadership, Bluetooth Low Energy, Arduino, Data Science, Analog Signal Processing, C, Numerical Analysis, and Microsoft Powerpoint.
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