Syed Ibrahim S P

About

I am a seasoned teaching professional renowned for exceptional expertise in Data Science and Computer Science, stands out as a rare educator with over 17 years of specialized experience in technology-integrated teaching.
Currently serving as Senior Professor & Deputy Director of International Relations, facilitating global partnerships and academic research collaborations.

Bringing extensive experience in the education sector, particularly in Data Science and Computer Science with strong foundation in Aritificial Intelligence, Machine Learning, Big Data Analytics, and Data Mining, contributing significantly to research and innovation.
Proven track record of publishing over 60 papers in esteemed international journals and conferences, showcasing dedication to advancing knowledge and addressing key challenges in the field.

Achieved significant improvement in overall academic performance through the implementation of innovative teaching methodologies, emphasizing student engagement and comprehension.

Employment

• Vellore Institute of Technology, Chennai Senior Professor
  2013 - Present
• PSG College of Technology Assistant Professor
  2006 - 2013

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (55)

• A dynamic embedding strategy using gated ensembles for few-shot attack detection
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.110518
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• CLEAR: A continual learning framework for zero-day and anomaly-based intrusion detection
  Knowledge-Based Systems 2026 DOI: 10.1016/j.knosys.2026.116878
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• Semantic and temporal-aware hybrid embedding for transformer-based sequential recommendation
  ARTIFICIAL INTELLIGENCE REVIEW 2026 DOI: 10.1007/S10462-025-11483-5
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• Anomaly-aware class-incremental learning (ACIL) framework for network intrusion detection systems
  INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2026 DOI: 10.1007/S13042-025-02840-5
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• Adaptive memory replay for network intrusion detection: Tackling data drift and catastrophic forgetting
  Computer Networks 2025 DOI: 10.1016/j.comnet.2025.111712
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• A personalized federated hypernetworks based aggregation approach for intrusion detection systems
  Scientific Reports 2025 DOI: 10.1038/s41598-025-11659-7
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• A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3541399
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• A Novel Semantic Driven Meta-Learning Model for Rare Attack Detection
  IEEE ACCESS 2025 DOI: 10.1109/ACCESS.2025.3564031
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• EXPLAINABLE AI for Applied Federated Learning in Network Intrusion Detection
  2025 DOI: 10.1007/978-981-96-5848-0_26
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• SURE: Session-Based Uninteresting Item Removal for Enhanced Recommendations
  IEEE ACCESS 2025 DOI: 10.1109/ACCESS.2025.3549133
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