mentoring

Students and researchers I have had the privilege of mentoring

Mentoring

I am passionate about mentoring the next generation of researchers , preferrably from my undergrad School (Brac University). Below are researchers I have collaborated with on research projects, advised on technical work, or guided through publications and career transitions.

Current Mentees

Sanjeda Akter

M.S. Student, Computer Science · Iowa State University · 2025 – Present

Co-author on 10+ submissions in 2026 spanning LLMs, reinforcement learning, calibration, and conformal prediction. Frequent collaborator on ICML, ACL, and NeurIPS projects.

LLMs RL Calibration ACL 2026 ICML 2026
Md Muzakker Hossain

Ph.D. Student, Computer Science · Iowa State University · 2023 – Present

Research focus on LLMs for compiler optimization, ML compilers, and high-performance computing. Co-author on parameter-efficient fine-tuning research.

LLM Compilers HPC PEFT
Fariya Afrin

Researcher, Computer Engineering · Kalinga Institute of Industrial Technology · 2021 – 2026

Co-author on multiple ACL ARR 2026 submissions including process reward model stress-testing, spectral pruning for LLMs, retrieval-anchored decoding, and continual instruction tuning.

LLMs NLP RAG Pruning
RABEYA BOSRI TAMANNA

M.S. Student, Computer Science and Engineering · BRAC University · 2026 – 2028

Co-author on knowledge graph completion research using distilled LLM priors. Working on calibration and probabilistic methods.

Knowledge Graphs LLM Distillation
Naoshin Anzum Hridi

M.S. Student, Computer Science and Engineering · BRAC University · 2026 – Present

Co-author on GFlowNet-guided negative sampling for knowledge graph embedding research.

GFlowNets KG Embedding
Adria Binte Habib

Researcher, CSE · Independent University, Bangladesh · 2025 – 2026

Co-author on calibration-preserving pruning research, framing model compression as a reliability contract.

Model Compression Calibration
Abu Sa-Adat Mohamed Moon-Im Al Ahsan

Researcher · BRAC University · 2021 – Present

Co-author on private federated continual learning over LM embeddings and spectral-guided diffusion inference acceleration.

Federated Learning Diffusion Privacy
Md Najmus Swaqeeb

Researcher · BRAC University · 2025 – Present
System Analyst, IT · Standard Chartered · 2019 – Present

Co-author on calibrated speculative decoding, working on risk-certified speed–quality tradeoffs for LLM inference.

LLM Inference Speculative Decoding

Mentoring Philosophy

I believe research mentoring is a two-way collaboration. My approach focuses on:

  • Building research independence through structured guidance early on, gradually transitioning to peer collaboration
  • Publication-driven projects where mentees take ownership of papers from idea to submission
  • Career-aware mentoring that supports both academic and industry trajectories
  • Open communication with regular check-ins and clear feedback

If you are interested in collaborating or being mentored on research in computer vision, LLMs, reinforcement learning, calibration, or transportation AI, please reach out.

Contact: ishihab@iastate.edu LinkedIn