Mollah Md Saif

Autonomous Navigation in Crowded Spaces Using Multi-Sensory Data Fusion

Conference: 2025 IEEE International Conference on Robotics & Automation (ICRA) [A* Conference]

Status: Presented in Atlanta, USA, May 2025

DOI: 10.1109/icra55743.2025.11127865

Keywords: Autonomous Navigation, Social HRI, Path Planning, Obstacle Avoidance, Trajectory Prediction, Pose Estimation, Sensor Fusion

• Mentor undergraduate thesis students in Robotics, Perception, and AI, guiding complete research cycles from conceptualization to defense while ensuring theoretical and practical implementation proficiency.
• Lead research and development of AI-driven autonomy and perception systems for unstructured environments lacking conventional infrastructure, emphasizing robust ML/computer vision models, simulation-to-real validation, and field-ready evaluation protocols.
• Collaborate with faculty and laboratory teams on prototype development through systematic ML pipeline optimization, conducting benchmarking studies and ablation analyses while preparing results for academic publication and field trials.
• Provide technical advisory services to BRACU Mongol Tori, leveraging leadership experience and research expertise to guide strategic decisions, facilitate knowledge transfer, and maintain competitive excellence in international robotics competitions.

• Implementing and benchmarking mobile object tracking algorithms, designed evaluation pipelines, and contributed to tracking data annotation for dynamic scene analysis.
• Curating raw video datasets, designed annotation pipelines, and developed scripts to auto-generate ground truth for training and evaluation.
• Implementing scene graph generation models and generated scene graphs from video frames to support object/region-aware dynamic FPS allocation decisions.

• Developed an AI-powered job recommendation system using RAG, LLMs, and vector search to match candidate profiles with job market demands through skill gap analysis.
• Built a CV parsing micro-service supporting PDF and image-based resumes via OCR, extracting structured candidate data with validation and fault-tolerant API handling.
• Engineered an automated job scraping pipeline across multiple job portals with fuzzy IT filtering and dual-LLM categorization into a standardized taxonomy.
• Contributed to a workforce analytics dashboard API aggregating demand metrics, salary benchmarks, and skill-gap intelligence across Bangladesh's IT sectors.

• Team Lead (Jul 2022 – Jun 2023)
  • Led a multidisciplinary team (~40 members) in designing, building, and competing with a Mars rover simulation.
  • Set goals, monitored progress, performed performance evaluations and provided mentoring.
  • Represented team in international competitions: University Rover Challenge 2023 (USA) and International Rover Challenge 2023 (India).
  • Served as primary rover operator during competition tasks under high-pressure conditions.
• Electronic Controls Engineer (Apr 2022 – Aug 2022)
  • Designed power systems and PCBs using Autodesk Eagle.
  • Implemented an RTK-GPS based mapping system in the rover's WebUI via NTRIP connection.
  • Optimized rover control systems using C++, Python, and ROS.
• Control Systems Engineer (Feb 2022 – Apr 2022)
  • Designed and built ROS-based communication and control system architecture from scratch.
  • Implemented inverse kinematics for a 6-DOF robotic arm.
  • Built and integrated an autonomous science module.
• Contributor (Nov 2021 – Feb 2022)
  • Researched and learned rover control systems (Arduino, Raspberry Pi).
  • Studied the feasibility of implementing ROS for the Mars rover system.

Project: Indigenous 2U CubeSat Payload for Onboard Image Classification

• Designed a microcontroller-based architecture for embedded deep learning models on a 2U CubeSat.
• Researched, selected, and integrated an industrial camera system for image capture.
• Analyzed multispectral cameras for machine learning and remote sensing applications.
• Developed and deployed optimized deep learning models for on-board image classification.
• Tested and validated the integrated system in simulated space conditions.

• Developed hardware and software solutions for medical baropodometry devices, focusing on improving user experience and advancing diagnostic precision.
• Designed native Windows program automation tools (Powershell) to streamline processes and increase efficiency.
• Reverse engineered C++ software to reconstruct and optimize a medical visualization application, improving performance and usability.

• Learned and implemented AI/Deep Learning Models (TensorFlow, Keras, Scikit-Learn) in healthcare systems, including feature engineering and data preprocessing for large-scale medical datasets.
• Researched personalized healthcare, focusing on genetics, epigenetics, human nutrition, and microbiome-derived diagnosis.
• Developed an AI-enabled bioinformatics pipeline for taxonomic classification and profiling of bacteria.
• Designed and implemented big data processing pipelines for training machine learning models on distributed systems (AWS).
• Worked with conversational AI and chatbot development (Flask, Jinja).

• Conducted supplementary online classes on fundamental and intermediate programming courses (Python, C++, Java).
• Provided assistance to learners by resolving their queries through online learning platforms.

• Managed attendee check-ins, badge distribution, and orientation for hundreds of participants on Day 1.
• Promoted to Registration Team Manager on Day 2, training and supervising new volunteers during peak hours.
• Supported exhibitors and guided authors and attendees during the Exhibit Hall and Poster Sessions.
• Built professional connections by actively engaging with international participants and organizers.
• Gained experience in large-scale event logistics, cross-cultural communication, and team coordination.
• Balanced volunteer duties with academic contributions as a conference presenter.

• Organized and managed activities, ensuring smooth event operations.
• Showcased robotics projects (BRACU Mongol Tori), providing demonstrations to attendees.
• Represented the university, fostering interest in STEM and robotics.
• Collaborated with team members to create a vibrant educational experience.