Mahdin Mahboob
Assistant Professor, Department of Computer Science and Engineering
Faculty at Southeast University. Former Guest Researcher at Brookhaven National Laboratory (United States Department of Energy). Leading investigations in Deep Learning for Biomedical Imaging, Wireless Sensor Network Architectures, and public intellectualism through 200+ Opinion Editorials.
Deep Learning & Vision
Biomedical Histopathology & Optical Character Recognition
Wireless Sensor Networks
Parallel Topology, Signal Modulation & Acoustic IoT
Public Scholarship
200+ Opinion Editorials in Leading National Dailies
Mahdin Mahboob
Southeast University, Tejgaon, Dhaka-1208, Bangladesh
AFFILIATION
Southeast University
UNITED STATES RESEARCH
Brookhaven National Lab
Research Portfolio
Focusing on Deep Learning architectures, Computer Vision, Biomedical engineering, and sensor topologies.
Introducing the Boise State Bangla Handwriting Dataset and an Efficient Offline Recognizer of Isolated Bangla Characters
Presented a comprehensive offline handwriting dataset for Bangla characters alongside a high-accuracy recognition framework using deep convolutional neural network architectures.
Deep Learning Method for Video-Based Data to Classify Peripheral Edema Grades
Proposed an automated video-based classification system using Deep Neural Networks to non-invasively detect and grade peripheral edema, advancing bedside computational diagnostics.
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features
Developed a robust Android application classification model exploiting static and dynamic feature sets via Deep Neural Networks for enhanced malware and class detection.
SBAG: A Hybrid Deep Learning Model for Large Scale Traffic Speed Prediction
A hybrid spatial-temporal deep learning network leveraging sensor topologies to forecast large-scale urban traffic velocities with high empirical accuracy.
A Novel Hybrid Deep Neural Network Model to Predict the Refrigerant Charge Amount of Heat Pumps
Designed a hybrid predictive framework for industrial thermodynamic metrics, optimizing heat pump charges using sequence-to-sequence deep neural models.
Numerical Solution to Nonlinear Biochemical Reaction Model Using Hybrid Polynomial Basis Differential Evolution Technique
Formulated a hybrid differential evolution workflow to numerically analyze and solve complex nonlinear biochemical system reactions.
Teaching & Thesis Mentorship
Department of Computer Science and Engineering curriculum courses and prospective thesis topics for undergraduate researchers at Southeast University.
Machine Learning and Pattern Recognition
Advanced supervised and unsupervised algorithms, convolutional neural architectures, and biomedical feature classification.
Data Communication and Computer Networks
Layered network protocols, wireless transmission media, multiple access techniques, and routing architectures.
Digital Signal Processing and Sensor Systems
Discrete-time signals, frequency domain transformations, acoustic sensor interfaces, and acoustic event localization.
Biomedical Image Analytics and Histopathology
Deep Learning frameworks for diagnostic histopathology image segmentation.
Foundations of Computer Vision, Matrix Calculus
Intelligent Transportation and Acoustic Sensing
Internet of Things sensor nodes for traffic acoustic analysis and safety monitoring.
Linear Systems, Signal Processing basics
Optical Character Recognition and Script Parsing
Hybrid deep neural networks for complex isolated script and numerical symbol recognition.
Introductory Neural Networks
Career Milestones & Leadership
Recognized track record across United States national laboratories, graduate scholarship, IEEE student leadership, and public scholarship.
Brookhaven National Laboratory
United States Department of Energy
Served as Guest Researcher contributing to advanced computational workflows, machine learning integrations, and interdisciplinary data analytics under the US Department of Energy.
Founding Chair, IEEE Student Branch
BRAC University
Pioneered and chartered the first IEEE Student Branch at BRAC University, building international engineering seminar platforms and student technical leadership.
Dual International Master Degrees
Stony Brook University & University of Southampton
Earned Master of Science in Computer Engineering from New York and Master of Science in Operational Telecommunications from the United Kingdom.
Public Intellectualism & Science Policy
National English Broadsheets
Authored more than two hundred analytical opinion editorials across The Daily Star and Dhaka Tribune, translating artificial intelligence, higher education reform, and intelligent transportation into public discourse.
Academic & Professional Journey
Two decades of academic milestones across the United Kingdom, United States, and leading universities in Bangladesh.
Assistant Professor
Southeast University
Instructing undergraduate engineering courses and supervising thesis research in Machine Learning, Computer Vision, and Applied Computing.
Guest Researcher
Brookhaven National Laboratory
Contributed to computational science workflows and interdisciplinary scientific investigations under the United States Department of Energy.
Lecturer
University of Liberal Arts Bangladesh
Instructed core undergraduate engineering curriculum and supervised final year capstone design engineering projects.
Opinion Editorials and National Articles
Author of over two hundred published articles in premier English-language broadsheets.
"Transforming Higher Education in Bangladesh through Technology"
Evaluating curriculum modernizations, academic research budgets, and digital literacy frameworks in higher education.
"Road Safety and Intelligent Transportation: An Engineering Perspective"
Proposing acoustic sensor systems, empirical traffic data frameworks, and structural infrastructure enhancements for urban road safety.
"From Bangladesh to Brookhaven: Reflections of a Guest Researcher"
Reflections on multinational laboratory research environments, STEM mentorship, and global graduate opportunities.
Office Hours & Contact Information
Inquiries regarding undergraduate thesis supervision, scholarly paper reviews, and academic consultations.
Office Location
Department of Computer Science and Engineering, Southeast University, 251/A and 252, Tejgaon Industrial Area, Dhaka-1208, Bangladesh
Consultation Schedule
Monday & Wednesday (or by institutional appointment)
Send Institutional Communication
Official academic inquiries, conference invitations, and mentorship queries should be directed to the primary university address.