Experience
General Information
| Full Name | Aranya Saha |
| Current Affiliation | Incoming Ph.D. student, Electrical & Computer Engineering, University of Maryland, College Park |
| aranyasaha932 (at) gmail.com |
Education
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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.
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2019 Higher Secondary Certificate, Science
Notre Dame College, Bangladesh -
2017 Secondary School Certificate, Science
Rajuk Uttara Model College, Bangladesh
Experience
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Apr 2025 - Present Machine Learning Engineer
Advanced Chemical Industries Limited - AI-based defect detection, tabular data analysis, and document sorting.
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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.
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Jun 2025 Instructor
Robotics Bootcamp 2025, Institute of Robotics and Automation, BUET - PID Control for Robotics.
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Jun 2024 - Jul 2024 Industrial Attachment
Fiber@Home Ltd. - Optical networking and telecommunications operations.
Community and Service
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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
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2025 - 1st Runner-Up, Poster Competition (AI), BEAR Summit 2025.
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BUET - University Merit Scholarship for 4 semesters for outstanding academic performance.
- Dean's List Award for Years 1-2 for high cumulative GPA.
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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
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Efficient AI
- Model compression, efficient inference, lightweight architectures.
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Trustworthy AI
- Robustness, fairness, interpretability.
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Theoretical ML
- Information theory and learning theory.
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Multimodal Learning
- Vision-language models and medical AI.
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Reinforcement Learning
- Decision-making and sequential learning.