Associate Professor | Mepco Schlenk Engineering College | India
Dr. N. Malathy is an esteemed academician and researcher currently serving as an Associate Professor in the Department of Information Technology at Mepco Schlenk Engineering College. With over 12 years of experience in teaching and research, she has made significant contributions to the fields of Mobile Computing, IoT, Networks, Fog Computing, and Machine Learning. She holds a Ph.D. in Fog Computing from Anna University (2024) and has published 24 research papers. Her expertise extends to international certifications in AI, cloud computing, and cybersecurity, and she is an active mentor and reviewer in her domain.
Profile
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ORCID
Scopus
Strengths for the Awards✨
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Research Excellence 📚
- 24 research publications, including 5 SCI and 11 Scopus-indexed papers.
- Notable contributions to Fog Computing, IoT, Machine Learning, and Distributed Computing.
- Recent high-impact publications, including studies on Federated Learning, Intrusion Detection, and Green Computing.
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Innovation & Intellectual Property 🏅
- One granted patent and four published patents demonstrate innovative contributions to applied research.
- Published two book chapters, contributing to academic literature.
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Recognized Expertise & Certifications 🎓
- International certifications from NVIDIA (Deep Learning), Infosys (Generative AI), and Checkpoint (Cybersecurity).
- Oracle certification in PL/SQL Database Programming and EMC Cloud Infrastructure & Services certification.
- Top 1%-5% rankings in multiple NPTEL courses, showing a commitment to continuous learning.
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Professional Engagement & Recognition 🌍
- Reviewer for 44 research papers, indicating active involvement in the research community.
- Awarded Best Paper at an International Conference (ICSTA 2022).
- Guest lectures (9) and faculty development programs (FDPs) conducted, demonstrating leadership in research dissemination.
- Member of ISTE and CSI, indicating professional affiliation.
🎓 Education
- Ph.D. in Fog Computing, Anna University, 2024
- M.E. in Computer & Communication, SSN College of Engineering, Anna University, 2012
- B.E. in Computer Science & Engineering, Francis Xavier Engineering College, Anna University, 2010
👩🏫 Experience
- Associate Professor, MEPCO Schlenk Engineering College (2024–Present)
- Assistant Professor (Sl. Grade), MEPCO Schlenk Engineering College (2023–2024)
- Assistant Professor (Sr. Grade), MEPCO Schlenk Engineering College (2017–2023)
- Assistant Professor, MEPCO Schlenk Engineering College (2012–2017)
Dr. Malathy’s research spans multiple cutting-edge areas, including:
- Distributed Computing: Efficient task scheduling, multi-objective optimization for fog computing
- IoT: Smart systems development, security research, intrusion detection
- Fog Computing: Resource allocation, task scheduling, privacy-preserving methodologies
- Machine Learning: Federated learning for security, optimization algorithms, AI applications
🏆 Awards & Achievements
- Best Paper Award, ICSTA 2022, Ramco Institute of Technology
- Top 1% & 5% Ranker in NPTEL Courses on Cloud Computing, Big Data, and HCI
- International Certifications:
- NVIDIA Deep Learning (2023)
- Checkpoint Certified Security Administrator R81 (2024)
- Generative AI Certifications (Infosys, 2024)
- Oracle Certification in Database Programming (2019)
- Top Performing Mentor, NPTEL (2025)
📚 Publications
Dr. Malathy has authored several impactful research papers in reputed journals:
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Multi‐objective task scheduling in fog computing using improved gaining sharing knowledge based algorithm
- Authors: M. Navaneetha Krishnan, R. Thiyagarajan
- Year: 2022
- Citations: 12
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VAGR—Void aware in geographic routing for wireless sensor networks
- Authors: A. Revathi, N. Malathy
- Year: 2016
- Citations: 8
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Entropy‐based complex proportional assessment for efficient task scheduling in fog computing
- Authors: N. K. Malathy, T. Revathi
- Year: 2023
- Citations: 7
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Opposition‐based improved memetic algorithm for placement of concurrent Internet of Things applications in fog computing
- Authors: N. Malathy, T. Revathi
- Year: 2024
- Citations: 3
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Pedestrian safety system with crash prediction
- Authors: M. K. V. S. Ms. N. Malathy, Dr. S. Kavi Priya
- Year: 2022
- Citations: 3*
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Smart trash bin level monitoring system
- Authors: M. S. A. Ms. N. Malathy, Miss. D. Kaviyaadharshani
- Year: 2022
- Citations: 3*
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Pedwarn-enhancement of pedestrian safety using mobile application
- Authors: N. Malathy, S. Sabarish Nandha, B. Praveen, K. Pravin Kumar
- Year: 2020
- Citations: 2
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Topology control for depth adjustment using geographic routing in underwater wireless sensor networks
- Authors: A. Revathi, N. Malathy
- Year: 2016
- Citations: 1
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Energy Efficient Workflow Scheduling for Fog-enhanced IOT Based Healthcare Application
- Authors: N. Malathy, M. Kartheeswari, M. Yogalakshmi
- Year: Not mentioned
- Citations: 1
📌 Conclusion
Dr. N. Malathy continues to make remarkable strides in academia, research, and technological innovation. Her expertise in Distributed Computing, IoT, Fog Computing, and Machine Learning is evident from her numerous publications, patents, and academic contributions. Through mentoring, research, and professional engagements, she actively bridges theoretical advancements with real-world applications, positioning herself as a leader in her field.
