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S.M. Tawhid

S.M. Tawhid

Physics & Bio-Inspired Intelligent Robotics · Autonomous Multi-Agent Systems · Avian Collision Avoidance

smtawhid77megh@gmail.com | 21-45470-3@student.aiub.edu | tawhid@neuroflightlab.org
Google Scholar | ORCID | GitHub | LinkedIn | ResearchGate | Dhaka, Bangladesh

About

Researcher in Physics and Bio-Inspired Intelligent Systems, with a central focus on autonomous multi-agent systems and avian collision-avoidance behavior analysis. Founder & CEO of NeuroFlight Lab, leading multidisciplinary research teams in bio-inspired robotics and AI. Current work bridges stereo vision, 3D trajectory reconstruction, and behavioral modeling to uncover the kinematic principles birds use to navigate dense flocks — and to translate those principles into bio-inspired swarm MAV control strategies. Broader expertise spans reinforcement learning, explainable AI, federated learning for medical imaging, and computer vision (YOLO & OpenCV). Passionate about applying machine learning to build intelligent, scalable, and real-world autonomous systems grounded in biological insight.

Key Achievements

  • 16+ Research Publications(include under review) in top-tier Q1/Q2 journals including Nature, Elsevier, IOP Publishing, Wiley, and Springer Nature
  • Research Leadership – Founded and leading NeuroFlight Lab as CEO, mentoring 10+ multidisciplinary research teams
  • Academic Excellence – CGPA 90% in B.Sc. Computer Science and Engineering with consistent performance throughout education
  • Best Poster Award – Thesis Day (Summer 2024–2025) – awarded for best thesis among 100+ undergraduate groups
  • International Collaboration – Organized seminars featuring global industry leaders and academic experts

Research Focus

Physics Bio-Inspired Intelligent Systems Stereo Vision 3D Trajectories Bird Behavior Swarm MAV Control Avian Flight Kinematics Multi-Agent Systems Collision Avoidance Reinforcement Learning Explainable AI Medical Imaging

Experience

Jan 2025 – Present
CEO & Research Lead
NeuroFlight Lab
  • Directed organizational strategy, research initiatives, and institutional growth of NeuroFlight Lab.
  • Led and mentored 10+ multidisciplinary research teams, contributing to multiple submissions in Scopus-indexed journals.
  • Supervised software development operations, including the AIUB Journal of Science and Engineering (AJSE, Q3) platform and several AI-driven software solutions.
  • Organized international seminars featuring global industry leaders and academic experts, enhancing international collaboration and research visibility.
  • Advanced autonomous flight systems research through reinforcement learning and real-time adaptive UAV control for stability and navigation.
Oct 2025 – Present
Research Intern
Dr. Anwarul Abedin Institute of Innovation, AIUB
  • Supported editorial operations and security management for the AIUB Journal of Science and Engineering (AJSE, Q3).
  • Contributed to the development of IoT-based automation systems, including smart chair technologies.
  • Conducted bird flight research using computer vision, motion tracking, and trajectory analysis methodologies.
Sep 2025 – Present
Research Assistant (Seasonal)
INTI International University, Malaysia
  • Developed a personalized stress detection framework by integrating facial micro-expression dynamics with physiological signals, including ECG, EDA, and respiration data.
  • Implemented an interpretable multimodal deep learning architecture combining LSTM and dense neural networks for robust stress classification.
  • Collected, processed, and analyzed data from the WESAD dataset and custom webcam recordings of healthcare professionals to enhance real-world applicability.
Feb 2024 – Feb 2025
Student Researcher
Mahdy Research Academy, supervised by Dr. Mahdy Rahman Chowdhury (Associate Professor, NSU)
  • Conducted research on few-shot learning methodologies for retinal vessel segmentation under limited-data conditions.
  • Implemented, optimized, and evaluated U-Net architectures and advanced variants on medical imaging datasets.
  • Developed efficient segmentation frameworks tailored for low-sample clinical environments to improve diagnostic applicability.
Oct 2023 – Oct 2025
Member
Engineering Students Association of Bangladesh (ESAB)
  • Participated in technical workshops, professional seminars, and collaborative initiatives focused on engineering skill development, leadership, and professional networking.
Jul 2023 – Oct 2025
Member
AIUB Community of Engineering Students (ACES)
  • Contributed to community-driven engineering programs, knowledge-sharing sessions, and project exhibitions promoting innovation, collaboration, and technical excellence.

Research & Publications

Journal Papers
  1. A stereo dataset of annotated budgerigar flight trajectories for multi-agent collision avoidance studies Q1Published1st Author
    Data in Brief — Elsevier
  2. Multi-agent collision avoidance kinematics in budgerigars: toward bioinspired swarm MAV control Q1Published1st Author
    Bioinspiration & Biomimetics — IOP Publishing
  3. A Physics-Regularized Recurrent Framework for Biomimetic Multi-Agent Bird Flight Forecasting Q1Under Review1st Author
    Results in Engineering — Elsevier
  4. Same reaction time, different manoeuvres: group-size scaling of 3D collision avoidance in Budgerigar flight Q1Under Review1st Author
    PLOTS One — PLOTS Published
  5. Barriers to reversal: effective stability landscapes of fish schools with potential implications for swarm robotics Q1Under Review2nd Author
    Royal Society Open Science — Royal Society Publisher
  6. Do birds in larger flocks turn less but turn together? Group-size-dependent trade-offs between individual manoeuvring and collective turning in budgerigars Q1Under Review1st Author
    Ecology and Evolution — Wiley Publishing
  7. Data-driven estimation of anisotropic safety fields from budgerigar flight trajectories: a computational framework for collective avoidance behaviour Q1Under Review1st Author
    Royal Society Open Science — Royal Society Publisher
  8. Approximating Context-Dependent Interaction Laws in Collective Behavior via Sparse Equation Discovery Q1Under Review1st Author
    Bioinspiration & Biomimetics — IOP Publishing
  9. Deep Learning for Plant Disease Analysis: Current Trends, Challenges and Future Prospects Q1Under ReviewCo-Author
    Artificial Intelligence in Agriculture — Elsevier
  10. Scale-dependent behavioral heterogeneity: pairwise asymmetry predicts faster resolution without a group-level diversity advantage Q1Under Review2nd Author
    Scientific Reports — Nature
  11. A Multi-Metric Framework for Measuring Representational Divergence Under Counterfactual Perturbation in Large Language Models Q1Under Review2nd Author
    Information Processing & Management — Elsevier
  12. Anticipatory Collision Avoidance in Budgerigars Scales with Group Size: Time-to-Collision Thresholds and the Failure of Pairwise Potential Models Q2Under ReviewCo-Author
    Journal of Bionic Engineering — Springer Nature
  13. TumorRes-UNet: An Explainable Residual U-shaped Network for Brain Tumor Segmentation in Magnetic Resonance Imaging Q2Under Review1st Author
    Healthcare Technology Letters — Wiley Publishing
  14. Xception-Based Brain Tumor Classification with GAN Augmentation and Multi-Technique Explainable AI Q3Published1st Author
    AJSE — AIUB
  15. Explainable Hybrid CNN-Transformer Framework for Papaya Leaf Disease Classification with Layer-Wise Grad-CAM Analysis Q3Published2nd Author
    AJSE — AIUB
  16. Multi-Class Infectious Skin Disease Classification Using Transfer Learning and Explainable Artificial Intelligence Q3Under ReviewCo-Author
    International Journal of Healthcare Information Systems and Informatics — Elsevier
Conference Papers
  1. Video-based Flight Pattern Mining of Birds in Controlled Tunnel Environments Using YOLOv8 and Data Analytics Accept1st Author
    ICCA 2026
  2. Explainable Machine Learning for Academic Risk Prediction Using Leakage-Aware Grade Trajectory Features Accept2nd Author
    ICCA 2026
  3. Personalized Stress Detection Based on Facial Micro-Expression Dynamics with Integrated Physiological Signals Presented1st Author
    INTI, Malaysia 2025
  4. Topological Flight Signatures: Individual Bird Identification from Flight Trajectories via Persistent Homology Submitted1st Author
    ICCIT 2026

Education

  • M.Sc. in Applied Mathematics and Computational Science (AMCS)
    School of Mathematics & Physics
    North South University, Bangladesh
    2026 – Present
  • B.Sc. (Eng.), Computer Science and Engineering
    American International University-Bangladesh (AIUB), Dhaka
    2021 – 2026 • CGPA 90%
    Major: Information System (Data Science) • Minor: Computer Vision and Pattern Recognition
  • Higher Secondary School Certificate (Science)
    Engineering University School and College, BUET Campus, Dhaka
    2018 – 2020 • GPA 5.00/5.00
  • Secondary School Certificate (Science)
    Akkelpur F.U. Govt. Pilot School, Joypurhat
    2016 – 2018 • GPA 5.00/5.00
  • Junior School Certificate (Science)
    Akkelpur F.U. Govt. Pilot School, Joypurhat
    2013 – 2015 • GPA 5.00/5.00 • JSC Scholarship (Govt. of Bangladesh)
  • Primary School Certificate (Science)
    Sri Kristopur Govt. Primary School, Joypurhat
    2007 – 2012 • GPA 5.00/5.00 • PSC Scholarship (Govt. of Bangladesh)

Teaching & Mentoring

  • Research Mentorship – NeuroFlight Lab (Jan 2025 – Present)
    Mentored 10+ multidisciplinary research teams in bio-inspired robotics, computer vision, and machine learning. Guided students through research methodology, paper writing, and submission processes for Scopus-indexed journals.
  • Technical Training – AIUB (2024 – Present)
    Conducted workshops and training sessions on Python programming, deep learning frameworks (TensorFlow, PyTorch), and computer vision techniques for undergraduate students.
  • Research Supervision – Undergraduate Projects (2026 – Present)
    Supervised multiple undergraduate thesis projects in medical imaging, bird flight analysis, and AI applications, providing guidance on research design, implementation, and documentation.

Technical Projects

Avian Flight Trajectory Analysis System
Python · OpenCV · YOLOv8 · Stereo Vision

Real-time 3D trajectory reconstruction of bird flights using stereo vision and deep learning for collision avoidance research.

Bio-Inspired Swarm Simulation
Python · MATLAB · Reinforcement Learning

Multi-agent simulation framework implementing bird flocking behavior for autonomous MAV swarm control algorithms.

Medical Image Segmentation Framework
PyTorch · U-Net · Deep Learning

Explainable AI framework for brain tumor segmentation with Grad-CAM visualization and attention mechanisms.

Plant Disease Detection System
TensorFlow · CNN · Transfer Learning

Hybrid CNN-Transformer model for papaya leaf disease classification with layer-wise explainability analysis.

Real-Time Face Detection
Python · OpenCV · Haar Cascade

Real-time face detection system from live webcam video streams with optimized performance.

Academic Risk Prediction System
Machine Learning · Data Analytics · Python

Explainable ML model for predicting student academic performance using leakage-aware grade trajectory features.

Skills

Coding Skills

Python R MATLAB PHP ASP.NET

Research & Development

Machine Learning Computer Vision Data Analysis IoT Systems

Frameworks & Libraries

TensorFlow PyTorch Scikit-learn OpenCV YOLO

Tools & Typesetting

LaTeX

Languages

Bangla (Native) English (Professional Working Proficiency)

Honors & Awards

  • Best Thesis Award – Thesis Day (Summer 2024–2025) — awarded for the best thesis among 100+ undergraduate groups
  • Government Scholarship (JSC) – awarded for outstanding academic performance, Government of Bangladesh
  • Government Scholarship (PSC) – awarded for outstanding academic performance, Government of Bangladesh

References

  • Dr. Debajyoti Karmaker
    Sessional Academic, School of Computing Technologies, RMIT University, Australia
    Sessional Lecturer, Australian Institute of Higher Education, Australia
    Former Associate Professor & Head, Undergraduate Program, FST, AIUB
    d.karmaker@aiub.edu
  • Prof. Dr. Dip Nandi
    Professor & Dean, Faculty of Science and Technology, AIUB
    dip.nandi@aiub.edu
  • Mahfujur Rahman
    Assistant Professor, AIUB
    mahfuj@aiub.edu