Safad Ismail

About

I am a dedicated researcher, academician with a passion for teaching and innovation. I hold an M.Tech in Computer Science and Engineering from the Government Engineering College (Rajiv Gandhi Institute of Technology), Kottayam, Kerala, and a B.Tech in Computer Science and Engineering from Cochin University of Science and Technology. To further broaden my interdisciplinary expertise, I pursued a Bachelor of Legislative Law (LLB) from Karnataka State Law University, Bangalore.

I have successfully cleared the prestigious UGC-NET examination and the All India Bar Examination, reflecting my academic commitment and legal proficiency. With five years of teaching experience in engineering colleges and three years of research experience, I actively integrate my knowledge across the domains of Computer Science, Artificial Intelligence, and Law. I am also a registered lawyer, enrolled with the High Court of Kerala.

As an active IEEE member since 2012, I have contributed to the academic community through numerous publications in reputed Scopus-indexed journals and conferences. I also hold patents in both the United Kingdom and India, showcasing my drive for innovation.

My research interests center on the transformative applications of Artificial Intelligence and Machine Learning in the fields of Computer Science and Law, with a vision to drive meaningful change through cutting-edge, interdisciplinary solutions.

Employment

• Muthoot Institute of Technology & Science Assistant Professor
  2025 - Present

Education

• Karnataka State Law University LLB
  2019 - 2022
• College of Enginering Kallooppara B-Tech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (36)

• Legal and ethical challenges of AI in industry 4.0
  AI and Ethics 2026 DOI: 10.1007/s43681-026-01264-3
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• Precision galaxy morphology recovery for petascale astronomy: A Physics-informed dual-domain transformer approach
  Journal of Astrophysics and Astronomy 2026 DOI: 10.1007/s12036-026-10173-0
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• SPredict: Stock Market Prediction with Social Media Sentiment Analysis and Machine Learning
  2026 DOI: 10.1007/978-3-032-06179-9_5
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• An Improved AI Based System for Criminal Identification and Public Safety
  2026 DOI: 10.1007/978-3-032-09572-5_27
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• NeuroViT: Transformer-Enhanced U-Net for Pituitary Tumor Detection
  2025 IEEE 9th International Conference on Information and Communication Technology (CICT) 2026 DOI: 10.1109/cict67193.2025.11399240
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• Hybrid Transformer-CNN Models for Automated 2D MRI Pituitary Tumor Segmentation
  2025 IEEE 9th International Conference on Information and Communication Technology (CICT) 2026 DOI: 10.1109/cict67193.2025.11399041
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• Next Generation Sustainable Biocomposites Through Machine Learning
  2025 DOI: 10.4018/979-8-3373-2883-6.ch004
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• NIC-Health Nature Inspired Computing for Secure and Intelligent Healthcare Systems
  Advances in Healthcare Using Machine Learning 2025 DOI: 10.1201/9781003716686-9
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• SMP - TFT: A Transformer-Based AI Framework for Stock Market Prediction
  2025 IEEE 6th India Council International Subsections Conference (INDISCON) 2025 DOI: 10.1109/indiscon66021.2025.11254107
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• Enhancing Seed Quality and Predictive Accuracy in Indian Agriculture: Case Study at RARS, Kottayam, Kerala
  Advances in Seed Quality Evaluation and Improvement 2025 DOI: 10.1007/978-981-96-5178-8_20
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