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S.M. Tawhid

S.M. Tawhid

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

smtawhid.777@gmail.com | tawhid@neuroflightlab.org
Google Scholar | ORCID | GitHub | LinkedIn | ResearchGate | Website | 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 (5 Published, 11 Under Review) in top-tier Q1/Q2/Q3 journals including 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 Interests

Bio-inspired Intelligent Systems Avian Flight Dynamics Collective Behaviour Autonomous Multi-Agent Systems Bio-inspired Robotics Swarm Intelligence Physics-Informed Machine Learning Multi-Agent Trajectory Prediction Computer Vision Animal Behaviour Analysis Collision Avoidance Motion Planning Complex Systems Medical AI Medical Image Analysis Deep Learning for Healthcare Explainable AI

Experience

Jan 2025 – Present
CEO & Research Lead
NeuroFlight Lab
  • Directed organizational strategy, research initiatives, and institutional growth of NeuroFlight Lab.
  • 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.
September 2026 – Present
Graduate Teaching Assistant (GTA)
North South University
  • Conduct teaching and support student learning in BUS 112 and MAT 116.
  • Assist students with course concepts, problem-solving, and academic activities to facilitate effective learning.
  • Support course-related instructional activities, including class preparation, student guidance, and academic assessment.
September 2026 – Present
Graduate Research Assistant (GRA)
North South University
  • Conduct research at the intersection of fluid dynamics and collective behaviour, investigating mathematical and computational models of coordinated biological motion and emergent collective dynamics.
  • Study collective motion, interaction dynamics, and flow-mediated behaviour using mathematical modelling, computational methods, and data-driven analysis.
  • Contribute to research activities involving fluid–structure interactions, dynamical systems, and collective biological behaviour, with applications to bio-inspired and autonomous systems.
Jan 2024 – Dec 2024
Instructor
NeuroFlight Lab
  • Led and mentored 10+ multidisciplinary research teams, contributing to multiple submissions in Scopus-indexed journals.
  • Advanced autonomous flight systems research through reinforcement learning and real-time adaptive UAV control for stability and navigation.
Oct 2025 – Feb 2026
Internship
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 – Mar 2026
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.
Oct 2025 – Jul 2026
Member
The AI Collective
  • Participated in technical workshops, professional seminars, and collaborative initiatives focused on engineering skill development, leadership, and professional networking.
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 Q1PublishedCorresponding Author
    Data in Brief — Elsevier • DOI
  2. Multi-agent collision avoidance kinematics in budgerigars: toward bioinspired swarm MAV control Q1PublishedCorresponding Author
    Bioinspiration & Biomimetics — IOP Publishing
  3. A Physics-Regularized Recurrent Framework for Biomimetic Multi-Agent Bird Flight Forecasting Q1PublishedCorresponding Author
    Results in Engineering — Elsevier
  4. Xception-Based Brain Tumor Classification with GAN Augmentation and Multi-Technique Explainable AI Q3PublishedCorresponding Author
    AIUB Journal of Science and Engineering (AJSE) — AIUB • DOI
  5. Explainable Hybrid CNN-Transformer Framework for Papaya Leaf Disease Classification with Layer-Wise Grad-CAM Analysis Q3PublishedCorresponding Author
    AIUB Journal of Science and Engineering (AJSE) — AIUB • DOI
  6. Same reaction time, different manoeuvres: group-size scaling of 3D collision avoidance in Budgerigar flight Q1Under ReviewCorresponding Author
    Journal of Avian Biology — Wiley
  7. Barriers to reversal: effective stability landscapes of fish schools with potential implications for swarm robotics Q1Under ReviewCorresponding Author
    Royal Society Open Science — Royal Society
  8. Do birds in larger flocks turn less but turn together? Group-size-dependent trade-offs between individual manoeuvring and collective turning in budgerigars Q1Under ReviewCorresponding Author
    Ecology and Evolution — Wiley
  9. Data-driven estimation of anisotropic safety fields from budgerigar flight trajectories: a computational framework for collective avoidance behaviour Q1Under ReviewCorresponding Author
    Ecological Modeling — Elsevier
  10. Approximating Context-Dependent Interaction Laws in Collective Behavior via Sparse Equation Discovery Q1Under ReviewCorresponding Author
    Ecological Informatics — Elsevier
  11. Scale-dependent behavioral heterogeneity: pairwise asymmetry predicts faster resolution without a group-level diversity advantage Q1Under ReviewCorresponding Author
    Animal Behaviour — Elsevier
  12. Deep Learning for Plant Disease Analysis: Current Trends, Challenges and Future Prospects Q1Under ReviewCorresponding Author
    Artificial Intelligence in Agriculture — Elsevier
  13. A Multi-Metric Framework for Measuring Representational Divergence Under Counterfactual Perturbation in Large Language Models Q1Under ReviewCorresponding Author
    Information Processing & Management — Elsevier
  14. Anticipatory Collision Avoidance in Budgerigars Scales with Group Size: Time-to-Collision Thresholds and the Failure of Pairwise Potential Models Q2Under ReviewCorresponding Author
    Journal of Ethology — Springer Nature
  15. TumorRes-UNet: An Explainable Residual U-shaped Network for Brain Tumor Segmentation in Magnetic Resonance Imaging Q2Under ReviewCorresponding Author
    Healthcare Technology Letters — Wiley
  16. Multi-Class Infectious Skin Disease Classification Using Transfer Learning and Explainable Artificial Intelligence Q3Under ReviewCorresponding 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 AcceptedCorresponding Author
    ICCA 2026
  2. Explainable Machine Learning for Academic Risk Prediction Using Leakage-Aware Grade Trajectory Features AcceptedCorresponding Author
    ICCA 2026
  3. Personalized Stress Detection Based on Facial Micro-Expression Dynamics with Integrated Physiological Signals PresentedCorresponding Author
    INTI, Malaysia 2025
  4. Topological Flight Signatures: Individual Bird Identification from Flight Trajectories via Persistent Homology Corresponding Author
    ICCIT 2026

Education

  • M.Sc., Applied Mathematics and Computational Science (AMCS)
    North South University, Dhaka
    2026 – 2027
  • B.Sc. (Eng.), Computer Science and Engineering
    American International University-Bangladesh (AIUB), Dhaka
    2021 – 2026
    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
  • Secondary School Certificate (Science)
    Akkelpur F.U. Govt. Pilot School, Joypurhat
    2016 – 2018

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 – 2025)
    Conducted workshops and training sessions on Python programming, deep learning frameworks (TensorFlow, PyTorch), and computer vision techniques for undergraduate students.
  • Research Supervision – Research Projects (2024 – Present)
    Supervised multiple undergraduate thesis projects in medical imaging, bird flight analysis, and AI applications, providing guidance on research design, implementation, and documentation.

Projects

Real-Time Face Detection
Python · OpenCV · Haar Cascade

Developed a real-time face detection system using OpenCV and Haar cascade classifiers for live webcam-based recognition.

GitHub Link
Topic Modeling of News Articles
R · LDA · Data Analytics

Applied LDA-based topic modeling to extract latent themes from unstructured news data and analyze topic distributions.

GitHub Link
CampusCafe – Café Management System
C# · Database · Role-based Auth

Built a full-featured café management system with role-based authentication (Admin/User/Guest), modern UI, and database integration.

GitHub Link
Event Management System
HTML · CSS · JavaScript · PHP

Developed a web-based platform for event scheduling, user registration, and administrative control.

GitHub Link
NeuroFlight Lab Website
Web Development · Research Platform

Designed and developed the official project website with structured content and research presentation.

GitHub Link
Meal Management System
Web Application · Database

Developed a system for managing meal plans, user subscriptions, and tracking.

GitHub Link
E-Commerce Web Application
ASP.NET · Web Development

Built an e-commerce platform with product management, user authentication, and order handling features.

GitHub Link

Skills

Coding Skills

Python MATLAB C++ PHP ASP.NET

Research & Development

Bio-inspired Robotics Computer Vision Machine Learning Multi-Agent Systems Bird Flight Behavior Analysis Trajectory Prediction Collision Avoidance Swarm Robotics Collective Behaviour

Tools & Typesetting

LaTeX OpenCV TensorFlow YOLO CVAT

Languages

Bangla (Native) English (Intermediate)

Achievements

  • Best Poster Award – Thesis Day (Summer 2024–2025) — awarded for the best thesis among 100+ undergraduate groups
  • Government Scholarship (JSC) – Junior School Certificate awarded for outstanding academic performance
  • Government Scholarship (PSC) – Primary School Certificate awarded for outstanding academic performance

References

  • Dr. Debajyoti Karmaker
    Senior Lecturer, School of Computing Technologies
    RMIT University, Australia
    debajyoti.karmaker@rmit.edu.au
  • Prof. Dr. Dip Nandi
    Professor & Dean, Faculty of Science and Technology
    American International University-Bangladesh (AIUB)
    dip.nandi@aiub.edu