KFA Nasif

Kazi Fahim Ahmad Nasif

Ph.D. Candidate, Computer Science
Kennesaw State University, Marietta, Georgia, USA

Advisor: Dr. Bobin Deng

Research Interests: Bioinformatics, World Models, LLMs, Computer Vision, Edge Computing

I am actively seeking tenure-track Assistant Professor and postdoctoral positions, starting Fall 2027.

Photo of Kazi Fahim Ahmad Nasif

Publications

Full list on Google Scholar.

2026

  1. Kazi Fahim Ahmad Nasif*, Madeline Frank, Md Majedul Islam, Pritam Dutta, Md Romyull Islam, Priyabrota Sen, Ramazan Aygun, Bobin Deng, "MM-JEPA-TC: Low Cost Multimodal Joint-Embedding Predictive Architecture for Tropical Cyclone Forecasting", 2026 IEEE International Conference on Systems, Man, and Cybernetics, 2026. (IEEE SMC 2026) (Accepted)
  2. Lingtao Chen, Shuteng Niu, Zhiyu Dai, Xiao Luo, Chen Zhao, Kazi Fahim Ahmad Nasif, Yixin Xie, "AffinityBERT: Sequence-Based Deep Learning for Structure-Free Protein Binding Prediction", 2026 IEEE International Conference on Systems, Man, and Cybernetics, 2026. (IEEE SMC 2026) (Accepted)
  3. Bobin Deng, Kazi Fahim Ahmad Nasif, "Lowering Inference Latency of Hyperdimensional Computing for Camera Frame Inputs via Pixel Differential Compression", 2026 8th International Conference on Artificial Intelligence Technologies and Applications, 2026. (ICAITA 2026) (Accepted)
  4. Md Majedul Islam, Kazi Fahim Ahmad Nasif, Nobel Dhar, Mahmut Karakaya, Selena He, "Extreme Parameter Efficiency in Quantum Machine Learning for Cervical Cancer Classification", 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (IEEE EMBC 2026) (Accepted)
  5. L. Chen*, Y. Deng, Z. Dai, S. Niu, C. Tao, K. F. A. Nasif*, B. Deng, Y. Xie, "Mechanistic Validation and Structural Analysis of PAH-Associated SOX17 for Real-World Relevance", The 14th IEEE International Conference on Healthcare Informatics, Minneapolis, USA, 2026. (IEEE ICHI 2026) (Accepted)

2025

  1. Kazi Fahim Ahmad Nasif, Bobin Deng, Yixin Xie, Syed Md Shamsul Alam, Lingtao Chen, Nobel Dhar, Kun Suo, Dan Chia-Tien Lo, "AccelMD: A Self-adaptive AI-enabled Framework for Accelerating Molecular Dynamics Simulations", The 37th IEEE International Conference on Tools with Artificial Intelligence, 2025. (ICTAI 2025)
  2. L. Chen, K. A. Nasif, M. Yang, S. Niu, B. Deng, Y. Xie, "Automatic Molecular Dynamics Simulation with Binding Affinity Prediction Using Deep Learning", The 37th IEEE International Conference on Tools with Artificial Intelligence, 2025. (ICTAI 2025)
  3. Z. Elghazzali, Y. Xie, C. Zhao, B. Deng, L. Chen, K. A. Nasif, "Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment", The 37th IEEE International Conference on Tools with Artificial Intelligence, 2025. (ICTAI 2025)
  4. Md Nurul Absur, Sourya Saha, Sifat Nawrin Nova, Kazi Fahim Ahmad Nasif, Md Rahat Ul Nasib, "Optimizing CDN Architectures: Multi-Metric Algorithmic Breakthroughs for Edge and Distributed Performance", International Conference on Computing, Networking and Communications, 2025. (ICNC 2025)

2024

  1. Nobel Dhar, Bobin Deng, Md Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo, "Activation Sparsity Opportunities for Compressing General Large Language Models", The 43rd IEEE International Performance Computing and Communications Conference, 2024. (IPCCC 2024)
  2. M. N. Absur, K. F. A. Nasif, S. Saha, S. N. Nova, "Revolutionizing Image Recognition: Next-Generation CNN Architectures for Handwritten Digits and Objects", IEEE Symposium on Wireless Technology & Applications, Kuala Lumpur, Malaysia, 2024. (ISWTA 2024)
  3. L. Chen, Q. Li, Kazi Fahim Ahmad Nasif, Y. Xie, B. Deng, S. Niu, S. Pouriyeh, Z. Dai, J. Chen, C. Y. Xie, "AI-Driven Deep Learning Techniques in Protein Structure Prediction", International Journal of Molecular Sciences 25, no. 15: 8426, 2024. (MDPI 2024)
  4. Lingtao Chen, Kazi Fahim Ahmad Nasif, Bobin Deng, Shuten Niu, Chloe Yixin Xie, "Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models", The 36th IEEE International Conference on Tools with Artificial Intelligence, 2024. (ICTAI 2024)

2019

  1. K. F. Ahmed Nasif, M. Nurul Absur, M. Al Mamun, "Order Dependency in Sequential Correlation", The 3rd International Conference on Electrical, Computer & Telecommunication Engineering, 2019. (ICECTE 2019)

Manuscripts Under Review

Patent

  1. Bobin Deng, Kazi Fahim Ahmad Nasif, Nobel Dhar, Rahim Snow, George Harbison, Michael Parlotto, "Systems and Methods for Using Edge Devices in Multi-Modal Vision Models", Provisional Patent Application, Registration No. 52494, Docket No. 62941.2834, InComm Payments, 2024. (Filed)
    Role: Lead Inventor
    Innovation: A low-cost multimodal computer vision system for real-time customer behavior analysis through multi-view emotion, gaze, hand-interactions and product detection, deployed on an edge device.

Research Prototypes

  1. Screenshot of the DockGraph prototype
    DockGraph is a fast and interactive research prototype for graph-based protein-protein docking for near-native protein-protein pairs.
    Open prototype
  2. Screenshot of the SpaceCondenseNet prototype
    SpaceCondenseNet is a web-based space protein research tool for predicting and visualizing how proteins may aggregate, phase-separate, and study the protein-protein interactions under microgravity-inspired transport conditions.
    Open prototype

Education

Ph.D. in Computer Science
Kennesaw State University, Marietta, Georgia, USA
Passed Ph.D. candidacy - Spring 2026
Aug 2023 – Present
MS in Applied Statistics & Data Science
Jahangirnagar University, Dhaka, Bangladesh
Sep 2019 – Oct 2021
BEng. in Computer Science & Engineering
Rajshahi University of Engineering and Technology (RUET)
Apr 2014 – Sep 2019

Research & Professional Experience

Graduate Research Assistant
Kennesaw State University, Marietta, Georgia
Aug 2023 – Present
  • Bioinformatics: Develops resource-efficient tools for molecular dynamics and protein-protein docking.
  • World Models: Develops energy-efficient meteorological forecasting frameworks for resource-constrained edge devices.
  • Physical AI: Builds secure multimodal computer vision systems for real-time local inference.
  • Explainable AI: Builds robust decision-support systems for critical applications under uncertainty.
Research Assistant
InComm Payments
Aug 2024 – Jul 2025
  • Developed energy-efficient multimodal vision systems for customer behavior analysis, planogram design, shelf optimization, and edge-device deployment.
Graduate Research Assistant
Food First
Aug 2024 – Present
  • Develops scalable data systems and customized AI tools for website management, traffic analysis, and recommendation-driven preference modeling.

Teaching & Mentoring

Guest Lecturer
IT 3503 - Foundations of Health Information Technology, Kennesaw State University
Fall 2026
  • Delivered a guest lecture on using AI ethically and safely for academic research in clinical decision-support systems.
Graduate Research Mentor
Kennesaw State University
  • Mentored three M.S. students on externally funded projects across research design, technical implementation, and dissemination.
Actuarial Analyst
Guardian Life Insurance Limited, Dhaka, Bangladesh
Nov 2021 – Jul 2023
Trainee Programmer
Sysnova Information Systems, Bangladesh
Mar 2019 – Jun 2019

Awards & Achievements

Academic Service & Leadership

Peer Review

Editorial & Program Committees

Leadership & Activities

Media Coverage

Technical Skills

ProgrammingPython, SQL, R, C, C++
ML / DLPyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
BioinformaticsOpenMM, GROMACS (MD), DockQ, PyRosetta, ESMFold, AlphaFold pipelines
Parallel ComputingOpenMP, MPI, CUDA (Jetson Orin Nano)
Dev ToolsGit, Jupyter Notebooks, FastAPI, Streamlit, LangChain, Neo4j
BI ToolsPower BI, Tableau
DatabasesMongoDB, MySQL

Certifications

Contact