Experience

General Information

Full Name Aranya Saha
Current Affiliation Incoming Ph.D. student, Electrical & Computer Engineering, University of Maryland, College Park
Email aranyasaha932 (at) gmail.com

Education

  • 2026
    Incoming Ph.D. Student, Electrical & Computer Engineering
    University of Maryland, College Park
  • 2025
    B.Sc. in Electrical and Electronic Engineering
    Bangladesh University of Engineering and Technology
    • Major in Communication and Signal Processing.
  • 2019
    Higher Secondary Certificate, Science
    Notre Dame College, Bangladesh
  • 2017
    Secondary School Certificate, Science
    Rajuk Uttara Model College, Bangladesh

Experience

  • Apr 2025 - Present
    Machine Learning Engineer
    Advanced Chemical Industries Limited
    • AI-based defect detection, tabular data analysis, and document sorting.
  • Nov 2025 - Present
    Adjunct Lecturer
    Department of EEE, Bangladesh University of Engineering and Technology
    • Wireless Communication Laboratory.
    • Robotics & Automation Laboratory.
    • Digital Signal Processing Sessional.
    • Basic Electrical & Electronic Circuit Sessional.
  • Jun 2025
    Instructor
    Robotics Bootcamp 2025, Institute of Robotics and Automation, BUET
    • PID Control for Robotics.
  • Jun 2024 - Jul 2024
    Industrial Attachment
    Fiber@Home Ltd.
    • Optical networking and telecommunications operations.

Community and Service

  • Apr 2024 - Feb 2025
    Student Executive
    ACM SIGCOMM
    • Developed the official ACM SIGCOMM website under Dr. Matthew Caesar's mentorship.
    • Co-founded the SIGCOMM paper reading group.

Honors and Awards

  • 2025
    • 1st Runner-Up, Poster Competition (AI), BEAR Summit 2025.
  • BUET
    • University Merit Scholarship for 4 semesters for outstanding academic performance.
    • Dean's List Award for Years 1-2 for high cumulative GPA.
  • 2019
    • 29th Rank out of 10,000+ candidates, BUET Undergraduate Admission Test.
    • 31st Rank, Male Category, out of 300,000+ candidates, Dhaka Board HSC.
    • Talent Pool Scholarship recipient.

Research Interests

  • Efficient AI
    • Model compression, efficient inference, lightweight architectures.
  • Trustworthy AI
    • Robustness, fairness, interpretability.
  • Theoretical ML
    • Information theory and learning theory.
  • Multimodal Learning
    • Vision-language models and medical AI.
  • Reinforcement Learning
    • Decision-making and sequential learning.