About Me

Saydul Akbar Murad

Assistant Professor of Cybersecurity

Dr. Saydul Akbar Murad is an Incoming Assistant Professor of Cybersecurity at Emporia State University, Kansas, USA. He earned his Ph.D. from the University of Southern Mississippi, where his research operated at the intersection of Cybersecurity, Neuroscience, and Artificial Intelligence , focusing on decoding human brain activity (EEG) into text. With an academic foundation that includes a master's degree from Universiti Malaysia Pahang, he has published extensively in high-impact journals (IF up to 10.6) regarding BCI, brain data security, and secure distributed systems. His work has earned him multiple "Best Paper" awards, the 2026 Graduate Research Award, and international recognition. Beyond research and teaching, Murad serves as an editor for the Journal of Computer Science, contributing his expertise to the advancement of the field.

Technical Expertise

Artificial Intelligence & ML
PyTorch Transformers TensorFlow Keras Scikit-learn NLTK Pandas Numpy
Languages & Databases
Python C/C++ Java MySQL LaTeX
Simulators & Tools
CloudSim OMNeT++ Git Android Studio Jupyter Notebook

Education

2023 — 2026 PhD in Computer Science The University of Southern Mississippi, USA
2021 — 2023 MSc in Computer Science Universiti Malaysia Pahang, Malaysia
2015 — 2020 BSc in Information & Communication Engineering Noakhali Science and Technology University, Bangladesh

Honors and Awards

2026
Graduate Research Award, 2026
Awarded by The University of Southern Mississippi, Mississippi, United States.
2026
Graduate Student Hall of Fame, 2026
Awarded by the Graduate School, University of Southern Mississippi, Mississippi, United States.
2025
Best Paper Award, 2025
Awarded by 40th International Conference on Computers and Their Applications.
2025
NAIRR Pilot Program Travel Grant, 2025
Awarded full funding for travel, lodging, and meals to participate in the National AI Research Resource (NAIRR) Pilot program.
2023 – Present
Fully Funded Scholarship & GA Award, 2023 - *
Awarded by The University of Southern Mississippi, Mississippi, United States.
2023
Best Publication Award, 2023
Awarded by Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang, Malaysia.
2023
Best Researcher Award, 2023
Awarded by International Research Awards on Computer Aided Design in Mechanical Eng.
2021 – 2023
Fully Funded Scholarship, 2021 - 2023
Awarded by Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang, Malaysia.
2020
Best Paper Award, 2023
Awarded by The 8th International Conference on Computer and Communications Management.
2016
3rd Place at NSTU Intra University Programming Contest, 2016
Awarded by Noakhali Science and Technology University, Noakhali, Bangladesh.

Grants, Fellowships & Funding

Research Grants

$731,344 Research Grant Submitted (2026 – 2030)
Privacy-Preserving Distributed Fog-Cloud Computing for Real-Time Neural Signal Processing and Brain-Computer Communication

Funding Body: National Science Foundation (NSF)

Role: Key contributor to the writing of the grant proposal

PI: Dr. Nick Rahimi

$4,500 Research Grant (2025)
SecureBrainNet: A Privacy-Preserving Distributed Framework for Brain-Computer Interfaces

Funding Body: University of Southern Mississippi (USM)

Role: Key contributor to the writing of the grant proposal

PI: Dr. Nick Rahimi

Research Fellowships

$2,000 Fellowship (2025)
Dissertation Completion Grant Award

"Efficient Real-Time EEG-to-Text Decoding Using LDEPTH-Based P2P Fog Computing Architecture..."

$500 Research Award (2024)
Best Proposal Project

"FMRG-Bio: Future Nanotherapy Manufacturing-transitioning from the lab to the pharma factor"

RM 21,600 Scholarship (2021 – 2023)
Master Research Scheme (MRS)

Universiti Malaysia Pahang Al-Sultan Abdullah

Travel Grants

$500 Travel Award (2024)
Graduate School’s Travel Award, USM

Support for conference registration, attending, and presenting papers.

$500 Travel Award (2023)
School of BEES & CAS, USM

Support for conference registration, attending, and presenting papers.

Publications

[1]. Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi “Redemption Score: An Evaluation Framework to Rank Image Captions While Redeeming Image Semantics and Language Pragmatics” arXiv (2025) Link

[2]. Saydul Akbar Murad, Ashim Dahal, Nick Rahimi “EEG-to-Text Translation: A Model for Deciphering Human Brain Activity” arXiv (2025) Link

[3]. Saydul Akbar Murad, Ashim Dahal, Nick Rahimi “Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis” arXiv (2025) Link

[4]. Ashim Dahal, Saydul Akbar Murad, Nick Rahimi “Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification” arXiv (2025) Link

[5]. Farida Siddiqi Prity, Mirza Raquib, Saydul Akbar Murad, Md Jubayar Alam Rafi, Md Khairul Bashar Bhuiyan, Anupam Kumar Bairagi “Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model” arXiv (2025) Link

[6]. Ashim Dahal, Saydul Akbar Murad, Nick Rahimi “Heuristical comparison of vision transformers against convolutional neural networks for semantic segmentation on remote sensing imagery” IEEE Sensors Journal (2025) (IF 4.5) Link

[7]. Avi Deb Raha, Fatema Jannat Dihan, Mrityunjoy Gain, Saydul Akbar Murad, Apurba Adhikary, Md Bipul Hossain, Md Mehedi Hassan, Taher Al-Shehari, Nasser A Alsadhan, Mohammed Kadrie, Anupam Kumar Bairagi “Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach.” Computers, Materials & Continua (2024) (IF 1.7) Link

[8]. Saydul Akbar Murad, Nick Rahimi “Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text” IEEE Transactions on Cognitive and Developmental Systems. (2024) (IF 5) Link

[9]. Saydul Akbar Murad, Nick Rahimi “Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT” IEEE Internet of Things Journal. (2024) (IF 10.6) Link

[10]. Saydul Akbar Murad, Zafril Rizal M Azmi, Abu Jafar Md Muzahid, Md Murad Hossain Sarker, M Saef Ullah Miah, MD Khairul Bashar Bhuiyan, Nick Rahimi, Anupam Kumar Bairagi “Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing” Sustainable Computing: Informatics and Systems. (2024) (IF 4.5) Link

[11]. Saydul Akbar Murad, Zafril Rizal M Azmi, Abu Jafar Md Muzahid, MD Khairul Bashar Bhuiyan, Md Saib, Nick Rahimi, Nusrat Jahan Prottasha, Anupam Kumar Bairagi “SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment” Future Generation Computer Systems. (2024) (IF 7.5) Link

[12]. KM Aslam Uddin, Farida Siddiqi Prity, Maisha Tasnim, Sumiya Nur Jannat, Mohammad Omar Faruk, Jahirul Islam, Saydul Akbar Murad , Apurba Adhikary, Anupam Kumar Bairagi “Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection” Human-Centric Intelligent Systems. (2023) Link

[13]. Md Bipul Hossain, Anika Shama, Apurba Adhikary, Avi Deb Raha, KM Aslam Uddin, Mohammad Amzad Hossain, Imtia Islam, Saydul Akbar Murad , Md Shirajum Munir, Anupam Kumar Bairagi “An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms ” Human-Centric Intelligent Systems. (2023) Link

[14]. Chandra Shekhar Kundu, Apurba Adhikary, Md Shamim Ahsan, Abidur Rahaman, Md Bipul Hossain, Avi Deb Raha, Saydul Akbar Murad , Farid Ahmed “Design and analysis of performance parameters for achieving high efficient ITO/PEDOT: PSS/P3HT: PCBM/Al organic solar cell ” Journal of Optics. (2023) (IF 1.8) Link

[15]. Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi “Impact learning: A learning method from features impact and competition” In Journal of Computational Science. (2023) (IF 3.817) Link

[16]. Abu Jafar Md Muzahid, Syafiq Fauzi Kamarulzaman, Md Arafatur Rahman, Saydul Akbar Murad, Md Abdus Samad Kamal and Ali H Alenezi “Multiple vehicle cooperation and collision avoidance in automated vehicles: survey and an AI-enabled conceptual framework” Scientific Reports. (2023) (IF 4.996) Link

[17]. Israt Jahan, K. M. Aslam Uddin, Saydul Akbar Murad, M. Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali and Anupam Kumar Bairagi “4D: A Real-Time Driver Drowsiness Detector Using Deep Learning” Electronics, MDPI. (2023) (IF 2.690) Link

[18]. Saydul Akbar Murad, Abu Jafar Md Muzahid, and Zafril Rizal Bin M Azmi “A Review on Job Scheduling Technique in Cloud Computing and Priority Rule Based Intelligent Framework” Journal of King Saud University-Computer and Information Sciences. (2022) (IF 9.006) Link

[19]. Nusrat Jahan Prottasha, Abdullah Sami, MD Kowsher, Saydul Akbar Murad, Anupam Kumar Bairagi, Mehedi Masud, and Mohammed Baz “Transfer Learning for Sentiment Analysis Using BERT Base Supervised Fine Tuning” in Sensors. (2022) (IF 3.847) Link

[20]. Apurba Adhikary, Joy Bhuiya, Saydul Akbar Murad, Md. Bipul Hossain, K. M. Aslam Uddin,MD Estihad Faysal, Abidur Rahaman, Anupam Kumar Bairagi “Performance Evaluation of Micro Lens Arrays: Improvement of Light Intensity and Efficiency of White Organic Light-Emitting Diodes” in PLOS ONE. (2022) (IF 3.752) Link

[21]. Saydul Akbar Murad, ABU JAFAR MD MUZAHID and Apurba Adhikary “AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach” in Intelligent Automation & Soft Computing. (2022) (IF 3.41) Link

[1]. Tomas Nader, Saydul Akbar Murad, Nick Rahimi “Human Activity Recognition Using an Ensemble Learning Approach”. International Conference on Computers and Their Applications, 2025 (Best Paper Award). Link

[2]. Ashim Dahal, Saydul Akbar Murad, Nick Rahimi “Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM's Representation Learning”. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025. Link

[3]. Sindhuja Penchala, Saydul Akbar Murad , Indranil Roy, Bidyut Gupta, Nick Rahimi “Unveiling Text Mining Potential: A Comparative Analysis of Document Classification Algorithms”. Proceedings of 39th International Conference on Computers and Their Applications, 2024. Link

[4]. Saydul Akbar Murad , Nick Rahimi “Secure and Scalable Permissioned Blockchain using LDE-P2P Networks”. 2023 10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). Link

[5]. Saydul Akbar Murad , Zafril Rizal M Azmi, Faria Jerin Brishti, Md Saib, Anupam Kumar Bairagi “Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution”. 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS). Link

[6]. Saydul Akbar Murad, Nick Rahimi, Abu Jafar Md Muzahid “PhishGuard: Machine Learning-Powered Phishing URL Detection”. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). Link

[7]. Saydul Akbar Murad, Nick Rahimi, Indranil Roy, Bidyut Gupta “Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation”. 38th International Conference on Computers and Their Applications. Link

[8]. Md. Kowsher, Anik Tahabilder, Saydul Akbar Murad “Impact learning: A Robust machine learning algorithm”. Proceedings of the 8th International Conference on Computer and Communications Management (ICCCM 2020) (Best Paper Award). Link

[9]. Apurba Adhikary, Saydul Akbar Murad, Md. Shirajum Munir, and Choong Seon Hong “Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms”. 2022 International Conference on Information Networking (ICOIN). Link

[10]. Saydul Akbar Murad, Zafril Rizal Bin M Azmi, Nusrat Jahan Prottasha, and Md Kowsher “Computer-aided system for extending the performance of diabetes analysis and prediction” is published at the conference of ICSECS - 2021. Link

[11]. Saydul Akbar Murad, ABU JAFAR MD MUZAHID, Zafril Rizal Bin M Azmi and Imran Sunny “Comparative study on job scheduling using priority rule and machine learning.” in IEEE Conference 2021. Link

[12]. Md Shamimul Islam, Md Mahedi Hasan, Sohaib Abdullah, Jalal Uddin Md Akbar, N H M Arafat, Saydul Akbar Murad “A deep Spatio-temporal network for vision-based sexual harassment detection” in IEEE Conference 2021. Link

[13]. ABU JAFAR MD MUZAHID, Md. Abdur Rahim, Saydul Akbar Murad, Syafiq Fauzi Kamrulzaman and Md Arafatur Rahman “Optimal Safety Planning and driving Decision-Making for Multiple Autonomous Vehicles: A learning Based Approach” in IEEE Conference 2021. Link

[14]. N H M Arafat, Md Ileas Pramanik, Abu Jafar Md Muzahid, Bibo Lu, Sumaiya Jahan and Saydul Akbar Murad “A Conceptual Anonymity Model to Ensure Privacy for Sensitive Network Data” in IEEE Conference 2021. Link

[1]. Nick Rahimi, Saydul Akbar Murad, Sarah B. Lee “Entrepreneurship Opportunities in Cybersecurity” in Generating Entrepreneurial Ideas With AI, IGI Global, 2024. Link

[2]. Saydul Akbar Murad, Nick Rahimi, Indranil Roy, Bidyut Gupta “Security challenges in the Industrial Internet of Things (IIoT)” in Quality Assessment and Security in Industrial Internet of Things, CRC Press, 2024. Link

[3]. Mizanur Rahman, Sajib Debnath, Masud Rana, Saydul Akbar Murad, Abu Jafar Md Muzahid, Syed Zahidur Rashid, Abdul Gafur “Bangla Text Summarization Analysis Using Machine Learning: An Extractive Approach” in International Human Engineering Symposium, Springer Nature Singapore, 2023. Link

[4]. AKM Bahalul Haque, Tasfia Nausheen, Abdullah Al Mahfuj Shaan, and Saydul Akbar Murad “Security Attack Analysis and Countermeasures in 5G IoT Technology” in 5G and Beyond 2022. Link

Projects

EEG to Text
EEG to Text Decoding

Developed the R1 Translator model using LSTM and pretrained BART transformer. Achieved SOTA results on the ZuCo dataset.

View on GitHub
Cyber Threat Detection
Cyber Threat Detection in Tweets/X

Multi-lingual threat detection (English, Chinese, Russian, Arabic) using ML/DL models like XLM-ROBERTa.

View on GitHub
POVQA
Preference-Optimized Video Question Answering (POVQA)

Framework integrating temporal pooling and rationale supervision. Fine-tuned QWEN-2.5-VL 7B using SFT and DPO.

View on GitHub
Redemption Score
Redemption Score

Hybrid framework for image caption evaluation using Mutual Information Divergence, DINO perceptual similarity, and LLM embeddings.

View on GitHub
CLIP Analysis
Embedding Shift Dissection on CLIP

Analyzed nine image augmentation techniques on VLM (CLIP) representation learning, focusing on attention map variations.

View on GitHub
ViT vs CNN
ViT vs CNN Segmentation

Heuristic comparison of ViT and CNN for remote sensing imagery segmentation using a custom weighted loss function.

View on GitHub
P2P Fog
P2P Communication in Fog Computing

Integrated P2P architecture within the fog layer based on LDEPTH, organizing networks in a hierarchical manner.

View on GitHub
Job Scheduling
Job Scheduling in Cloud Computing

Developed SG-PBFS, a priority-based scheduling method optimizing CPU time and job arrival distribution.

View on GitHub
Android App
Department Management System (Android)

Android management tool for notices, course info, student profiles, and attendance developed using Java.

View on GitHub
Impact Learning
Impact Learning Implementation

Robust supervised ML algorithm for classification and regression tasks. Install: pip install impactlearning

Asthma Prediction
An Intelligent Android App to Predict Asthma

Socially intelligent app for predictive asthma treatment planning using an ML strategy focused on error minimization.

Order Management
Java Customer Order Management System

Facilitates order placement, reviews, and transaction summaries for business analytics using Java.

View on GitHub

Experience

Teaching Experience

Spring 2025 - Summer 2026

Instructor

University of Southern Mississippi, USA
  • CSC 102: Computer Science II (Spring 2025, Spring 2026)
  • CSC 327: Secure Software Development (Summer 2025, Fall 2025, Summer 2026)
  • CSC 546: Python Data Science Summer 2026
Fall 2023

Graduate Assistant

University of Southern Mississippi, USA
  • CSC 428-591 Machine Learning in Cybersecurity
Fall 2022

Lecturer

International Islamic University Chittagong, Bangladesh
  • ETE-4757 Database Management Systems
  • ETE-4758 Database Management System Sessional
Spring 2022

Instructor

Universiti Malaysia Pahang, Malaysia
  • BCS-3283 Mobile Application Development

Research & Job Experience

Graduate Research Assistant

University of Southern Mississippi, USA | Jan 2023 – Present

Decoding human brain signals into text and researching ML in Cybersecurity and Blockchain systems.

Graduate Research Assistant

Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia | May 2021 – Jan 2023

Focused on new priority-rule job scheduling techniques within a networking lab environment.

Lecturer

International Islamic University Chittagong, Bangladesh | Aug 2022 – Dec 2022

Conducted lectures and supervised labs for Database Management Systems.

Lecturer

National Model College, Noakhali, Bangladesh | Feb 2020 – Jan 2021

Taught foundational and advanced computing subjects including Data Communication and Programming.

Industrial Trainee

BTCL Nandankanon, Chittagong, Bangladesh | Feb 2019 – Mar 2019

Gained practical knowledge in optical fiber communication and corporate network structures.

Academic Service

Journal Editorship
Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC) Publisher: Combinatorial Press
Journal of Computer Science Publisher: Science Publication
Program Committee
34th SEDE Conference International Conference on Software Engineering and Data Engineering
Peer Reviewer
NeurIPS IEEE Internet of Things Journal IEEE Access IEEE Trans. on Cognitive & Developmental Systems IEEE Reviews in Biomedical Engineering Scientific Reports (Nature) ACM Trans. on Knowledge Discovery from Data (TKDD) The Journal of Supercomputing Computer Methods in Biomechanics & Biomedical Eng. Innovations in Systems and Software Engineering Journal of Experimental & Theoretical AI Congress on Smart Computing Technologies Journal on Artificial Intelligence

Verification of review records available upon request or via Web of Science/ORCID.

Professional Development

Professional Training
Research Writing Skills EMK Center (2021)
Data Science with Python (Part 1 & 2) Maker Lab, EMK Center (2020)
Android Application Development - Java SEIP under Basis Institute of Technology & Management (2019)
Android Application Development LICT, Bangladesh (2016)
Invited Talks & Oral Presentations
Decoding Brainwaves: A Hybrid Neural Network Approach for Translating EEG Signals into Text 2024 | University of Southern Mississippi, USA
10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) 2023 | USA
8th International Conference on Software Engineering & Computer Systems 2023 | Malaysia
38th International Conference on Computers and Their Applications 2023 | USA
National Conference for Postgraduate Research (NCON-PGR) 2022 | UMP, Malaysia
Emerging Technology in Computing, Communication, and Electronics (ETCCE) 2021 | Dhaka, Bangladesh
Workshops on Research and Academic Career UniV Summer School (Three-week intensive)