Zeeshan Abbas, Ph.D.

Contact Information

Address: Sunshine Building, Jeonju, South Korea

Profile Summary

Dynamic and accomplished Ph.D. holder in Electronics and Information Engineering with expertise in Artificial Intelligence, Computer Vision, and Bioinformatics. Adept at leading cutting-edge research projects and contributing to impactful publications in top-ranked journals. Proven record of success in academic and industrial roles, demonstrating strong technical proficiency and commitment.

Education

Doctor of Philosophy, PhD, Jeonbuk National University, Jeonju, South Korea (March 2020 – Feb 2024)

Thesis Title: Leveraging Artificial Intelligence for Comprehensive Genome-Wide Epigenetic Modification Analysis

Overall CGPA: 4/4

Master of Science in Information Security, Air University, Islamabad, Pakistan (Sep 2017 – Nov 2019)

Thesis Title: A Novel Approach using Dual Key for LSB based RGB Image Steganography

Overall CGPA: 3.33/4, Thesis GPA: 4/4

Bachelor of Science in Electrical Engineering, COMSATS, Islamabad, Pakistan (Feb 2011 – Feb 2015)

Final Year Project: Multimedia Streaming in Wireless Sensor Networks

CGPA: 3.00/4, Thesis GPA: 3.7/4

Awards

• Presidential award in recognition of outstanding performance in academic research during PhD
• JIANT Fellowship Award from Brain Korea, National Research Foundation, South Korea for 3 consecutive years (2021-2023)
• Multiple Travel Grants by National Research Foundation Korea
• Merit scholarships during Masters for excellent academic performance
• Best paper award ICEI 2018

Work Experience

Postdoctoral Fellow, Jeonbuk National University, Jeonju, South Korea (Mar 2024 – Present)

Working on different funded research projects related to Artificial Intelligence. Additionally, guiding and supervising master’s and Ph.D. students in the field of AI.

Research Scholar, Jeonbuk National University, Jeonju, South Korea (Mar 2020 – Feb 2024)

• Precision Agriculture
• Car Parking and Tracking (Industrial Project)
• Brain Tumor segmentation (Industrial Project)
• Methylation Identification

Research Assistant, AIR University, Islamabad, Pakistan (Mar 2018 – Mar 2019)

HEC Funded project "End to End Secure Voice Communication over GSM"

• Forward Error Correction, Encryption / Decryption, Block Cipher Modes of Operations

IT Support Resident Engineer, Siemens Healthineers, Islamabad, Pakistan (Apr 2017 – Feb 2018)

• Managing the IT help desk and providing instant solutions to IT issues
• Provided functional and technical support, troubleshooting and diagnosing hardware and software problems
• Provide secondary support for LAN administration

L1 NOC Engineer, Verscom Technologies, Lahore, Pakistan (Apr 2015 – Oct 2016)

• Remote support of on-site engineers and end users/customers during installation
• Supporting users and network administrators over the telephone and by email
• To monitor, escalate and follow up of issues as per SLA

Publications

Journal Publications

• Zeeshan Abbas, et al. "ORI-Explorer: A unified cell-specific tool for Origin of Replication sites Prediction by Feature Fusion", Bioinformatics. (IF: 5.8; Top 1%)
• Zeeshan Abbas, et al. "XGBoost Framework with Feature Selection for the Prediction of RNA N5-methylcytosine sites", Molecular Therapy, Cell Press (2023). (IF: 12.4; Top 1%)
• Zeeshan Abbas, et al. "ZayyuNet - A unified deep learning model for the identification of epigenetic modifications using raw genomic sequences", IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021). (IF: 4.5; Top 10%)
• Zeeshan Abbas, et al. "TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model", Computational and Structural Biotechnology Journal (2021). (IF: 6.0; Top 15%)
• Zeeshan Abbas, et al. "ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks", International Journal of Molecular Sciences (2023). (IF: 5.6)
• Zeeshan Abbas, et al. "Alzheimer’s disease prediction based on continuous feature representation using multi-omics data integration", Chemometrics and Intelligent Laboratory Systems (2022). (IF: 3.9)
• Zeeshan Abbas, et al. "4mCPred-CNN – Prediction of DNA N4-Methylcytosine in mouse genome using Convolutional Neural Network", Genes (2021). (IF: 3.5)
• Zeeshan Abbas, et al. "SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes", IEEE Access (2020). (IF: 3.9)
• Mustafa Shakir, et al. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks", International Journal of Electrical and Computer Engineering (IJECE) (2016).

Conference Publications

• Zeeshan Abbas, et al. "TC-6mA-Pred: Prediction of DNA N6-methyladenine sites using CNN with transformer", IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022).
• Mobeen Ur Rehman, et al. "Identification of Human RNA m5C sites using CapsuleNet Architecture", IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022).
• Zeeshan Abbas, et al. "4mCPred-Caps: Identification of DNA N4-methylcytosine sites using CapsuleNet", 22nd International Conference on Control, Automation and Systems (ICCAS) (2022).
• Zeeshan Abbas, et al. "An Efficient Gray-Level Co-Occurrence Matrix (GLCM) based approach towards classification of Skin lesion", AICAI (IEEE) (2019).
• Mobeen-ur-Rehman, et al. "Classification of Diabetic Retinopathy Images Based on Customised CNN Architecture", AICAI (IEEE) (2019).
• Mobeen-ur-Rehman, et al. "Diabetic Retinopathy Fundus Image Classification using Discrete Wavelet Transform", ICEI (IEEE) (2018).
• Mobeen-ur-Rehman, et al. "Classification of Skin Lesion by interference of Segmentation and CNN", ICEI (IEEE) (2018).