Md Maklachur Rahman

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation

Md Maklachur Rahman, Soon Ki Jung, Tracy Hammond

CVPR 2026

PaperCode

AULUNet: An Adaptive Ultra-Lightweight UNet Framework for Efficient Skin Lesion Segmentation in Resource-Constrained Environments

Md Maklachur Rahman, Soon Ki Jung, Tracy Hammond

BMVC 2025 Oral - Top 3.47%

PaperCode

Mamba in Vision: A Comprehensive Survey of Techniques and Applications

Md Maklachur Rahman, Abdullah Aman Tutul, Ankur Nath, Lamyanba Laishram, Soon Ki Jung, Tracy Hammond

Review Paper

PaperProject

Target Focused Shallow Transformer Framework for Efficient Visual Tracking

Md Maklachur Rahman

AAAI-24 Doctoral Consortium Oral

Paper

Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking

Md Maklachur Rahman, Tracy Hammond

AAAI-24 Student Abstract and Poster Program

Paper

Siamese-based Attention Learning Networks for Robust Visual Object Tracking

Md Maklachur Rahman, Soon Ki Jung

Book Chapter, IntechOpen 2022

Book Chapter

Challenges and Applications of Face Deepfake

Lamyanba Laishram, Md Maklachur Rahman, Soon Ki Jung

IW-FCV 2021 Oral

Paper

Siamese High-Level Feature Refine Network for Visual Object Tracking

Md Maklachur Rahman, Md Rishad Ahmed, Lamyanba Laishram, Seock Ho Kim, Soon Ki Jung

Electronics, 2020 Feature Paper

PaperCode

Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning

Md Maklachur Rahman, Mustansar Fiaz, Soon Ki Jung

IEEE Access, 2020

PaperCode

Adaptive Feature Selection Siamese Networks for Visual Tracking

Mustansar Fiaz, Md Maklachur Rahman, Arif Mahmood, Sehar Shahzad Farooq, Ki Yeol Baek, Soon Ki Jung

IW-FCV 2020 Oral Best Student Paper Award

PaperCode

For full list of publications, please see my Google Scholar profile.

Education

Experience

Honors and Awards

• Outstanding Reviewer – BMVC 2025, Sheffield, UK
• TAMU CS Department Travel Award – 2025
• IEFS Graduate Scholarship – TAMU, 2025
• Best Student Paper Award – IW-FCV 2020 [Certificate]
• Outstanding MS Thesis Award – Kyungpook National University (KNU), South Korea, 2020 [Certificate]
• Brain Korea (BK) 21 PLUS Scholarship – KNU, South Korea, September 2018–August 2020
• KNU International Graduate Scholarship (KINGS) – Full Scholarship, KNU, South Korea, September 2018–August 2020
• University Merit Scholarship – Chittagong University of Engineering & Technology, Bangladesh, 2009–2013

Reviewer Service

Advising and Mentoring

Mentoring activities include ongoing student guidance at Texas A&M University, co-mentored projects, and mentoring with publication outcomes.

Current and Recent Student Mentoring

• Co-mentoring Groups (BS in CS, Texas A&M University · Sketch Recognition Lab (SRL))
  January 2026 – Present
  Group 1 – Gender Bias in AI

  Students: Nitya Khurana, Harrison Li, Yuqing Cao, and Ayaan Budhwani.
  Group 2 – Segment Anything Model (SAM) for Medical Image Segmentation

  Students: Fawwaz Memon, Nethum Weerasinghe, Armaan Khatwani, and Vidhu Karthik.
  Group 3 – Cross-Modality Translation (X-ray to CT/MRI)

  Students: Kaarthi Vedere, Ore Olayinka, Rivan Adhikari, and Rohan Doshi.
• Rachit Patel (BS in CS, Texas A&M University · Aggie Research Program)
  September 2025 – Present
  Project Focus: Developing Efficient Architectures for Medical Imaging.
• Phillip Ronin (BS in CS, Texas A&M University · Aggie Research Program)
  September 2025 – December 2025
  Project Focus: Early-stage ML/DL/CV Guidance Toward Real-world Projects.
• Sayok Bose (BS in CS, Texas A&M University · Aggie Research Program)
  September 2025 – December 2025
  Project Focus: Exploration of Deep Learning Architectures for Medical Image Segmentation.
• Hemish Radadiya (MS in CS, Lamar University, Texas, USA · Co-mentoring)
  July 2025 – December 2025
  Project Focus: Aerial Detection of Individuals in Flooded Regions.
• Arunima Chowdhury (MS in CS, Texas A&M University)
  May 2025 – December 2025
  Project Focus: Analyzing Transformer-Based Models for Polyp Segmentation.
• Ashwin Parameswaran (BS in CS, Texas A&M University)
  June 2024 – October 2025
  Project Focus: Exploring Polyp segmentation with a Focus on Boundary Feature Extraction.

Mentoring with Publication Outcomes

Selected mentoring collaborations that resulted in publications or public research outcomes.

• Deblina Mazumder Setu (MS in CS, University of Barishal, Bangladesh · Co-mentoring)
  2024–2026
  1. Towards Enhancing Healthcare Data Privacy: Integrating BioClinicalBERT With Polyalphabetic Cipher for Entity Recognition and Anonymization
     Engineering Reports, 2026 – [Paper].
  2. Evaluating the Efficacy and Site-Specific Performance of Machine Learning Approaches: A Comprehensive Review of Autism Detection Models
     Franklin Open, 2025 – [Paper].
  3. Affordable Early Detection of Autism Spectrum Disorder Using Innovative Eye-Tracking Methods
     27th International Conference on Computer and Information Technology (ICCIT), 2024 – [Paper].
• Meet Arvindbhai Monpara (MS in CS, Lamar University, Texas, USA · Co-mentoring)
  July 2025 – December 2025
  1. Stranded Human Detection in Flooded Environments From UAV Imagery
     International Conference on Robotic Computing and Communication (RoboticCC), 2025 – [Paper].
• Afrin Hayat (BS in CS, University of Barishal, Bangladesh · Co-mentoring)
  2024
  1. Personalized Teaching Strategy Suggestion for Toddlers with ASD: A Machine Learning and Deep Learning Approach
     27th International Conference on Computer and Information Technology (ICCIT), 2024 – [Paper].
• Abhyudaya Singh Tak (Visual AI Lab, Kyungpook National University, South Korea · Co-mentoring)
  2022
  1. Visual Object Tracking: Datasets and Related Information
     MITA, 2022 – [Paper].