Umaeswari P | Computer Science | Best Researcher Award

Dr. Umaeswari P | Computer Science | Best Researcher Award

R.M.K. Engineering College | India

Dr. P. Umaeswari is an accomplished academician and researcher in the field of Computer Science and Engineering with over 18 years of professional experience. Currently serving as an Associate Professor at R.M.K. Engineering College, Chennai, she has made significant contributions to advanced computing and interdisciplinary research. With a strong academic foundation and a deep commitment to educational excellence, she continuously strives to align academic innovation with societal needs.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Dr. P. Umaeswari is a distinguished academician and researcher with over 18 years of rich teaching and research experience in Computer Science and Engineering. Her remarkable trajectory across various reputed institutions highlights her dedication to advancing technical education and research excellence.

She has published 30+ impactful international journal papers, including prestigious outlets like Springer, IEEE Xplore, Elsevier, and UGC CARE journals, demonstrating interdisciplinary depth in IoT, Cloud Computing, Machine Learning, Cybersecurity, and Bioinformatics. Her work on biosensors, privacy in wearable IoT devices, smart agriculture, and AI-based security systems shows a strong alignment with current technological challenges and innovations.

In addition to research papers, Dr. Umaeswari has authored six academic books on topics ranging from Artificial Intelligence to Network Security, enhancing curriculum resources and bridging the academic-industry gap. Furthermore, her professional memberships in organizations such as ISTE, Indian Academic Researchers Association, and Knowledge Research Academy reinforce her credibility and active engagement with the research community.

🎓 Education

Dr. Umaeswari holds a Ph.D. in Computer Science and Engineering from St. Peter’s University (2019), preceded by an M.E. in the same field from the same institution (2011). She also earned an M.Phil. in Computer Science (2009) and an M.C.A. in Computer Applications (2006) from Alagappa University. Her academic journey began with a B.Sc. in Computer Science (2000) from Bhaktavatsalam Memorial College for Women under Madras University. Her consistent pursuit of excellence is evident in her academic accolades and grades.

💼 Professional Experience

Dr. Umaeswari’s career spans across various esteemed institutions. She is currently an Associate Professor at R.M.K. Engineering College (2022–present). Her earlier roles include Assistant Professorships at S.A. College of Arts & Science, Mar Gregorios College, and Ponnusamy Nadar College, among others. With 18 years and 3 months of teaching experience, her roles have encompassed teaching, mentoring, and research. Her long-standing service in both engineering and arts and science colleges highlights her interdisciplinary flexibility and dedication.

🔬 Research Interests On Computer Science

Dr. Umaeswari’s research interests encompass Machine Learning, IoT, Cloud Computing, Cybersecurity, Bioinformatics, and Smart Systems. Her work aims at integrating theoretical computing concepts with real-world applications such as biosensors, smart agriculture, and secure cloud frameworks. Her multi-domain approach empowers interdisciplinary collaboration and innovation.

🏆 Awards

Dr. Umaeswari has been honored with numerous accolades including the Research Excellence Award (2024) from SIDVI Foundation, the Inspiring Research Associate Award (2023) from Madras Journal Series Pvt Ltd, and two Best Faculty Awards (2022 & 2023) from prominent academic bodies. These recognitions validate her impact in academia and innovation.

📚 Publications

Dr. Umaeswari has contributed to over 30 international journals and numerous conferences. Her recent impactful works include:

  • Machine Learning Based Predicting the Assisted Living Care Needs
    P. Umaeswari, S.B.G.T. Babu, G.A. Sankaru, G.N.R. Prasad, B.V.S. Thrinath, …
    2022 — 📑 48 citations

  • Development of Programmed Autonomous Electric Heavy Vehicle: An Application of IoT
    P.N. Reddy, P. Umaeswari, L. Natrayan, A. Choudhary
    2023 — 📑 19 citations

  • Statistical Computing and Analysis of Apple Peel Biocarbon and Beta Vulgaris Cellulosic Fiber Vinyl-Based EMI Shielding Composite
    P. Umaeswari, G. Lokesh, A.S.A. Nisha, I.J. Solomon
    2025 — 📑 6 citations

  • IoT-Enabled Energy Conservation in Residential Buildings: Machine Learning Models for Analyzing Annual Solar Power Consumption
    P. Umaeswari, R. Sonia, T.R. Saravanan, N. Poyyamozhi
    2024 — 📑 6 citations

  • Development of Innovative Algorithm for Sound Detection Based on FFT and Goertzel Algorithms
    P. Umaeswari, B.V. Jyothi, G.R.G. King, T. Patil, R. Gukendran
    2024 — 📑 3 citations

  • Internet of Things (IoT) for Remote Earthquake and Fire Detection Monitoring: Linking Safety
    P. Umaeswari, M. Muktasandhu, M. Vignesh, R. Ramyamaranan, …
    2024 — 📑 2 citations

  • Digital Twin-Driven Intrusion Detection for IoT and Cyber-Physical System
    S.K. Ramamoorthy, L. Sindhu, K. Valarmathi, C. Gobinath, P. Umaeswari
    2024 — 📑 1 citation

  • Strategic Management Accounting Practices Between Developed and Emerging Economies Using Machine Learning
    M.S. Almahairah, V.K. Saroha, A. Asokan, P. Umaeswari, J.A. Khan, …
    2022 — 📑 1 citation

  • Local Train Ticketing System Using Web Services
    R. Sheeja, P. Umaeswari, C. Bibin, R. Nishanth, S.H. Chandana
    2022 — 📑 1 citation

  • Multilevel Security System for Big Data Cloud Using SDBS Algorithm
    P. Umaeswari, B. Shanthini, S. Senthil Kumar
    2020 — 📑 1 citation

📝 Conclusion

Dr. P. Umaeswari stands out as a passionate educator, prolific researcher, and visionary thinker. With numerous accolades, interdisciplinary research, impactful publications, and two decades of academic service, she embodies the ideal candidate for a prestigious award. Her scholarly impact and dedication to continuous improvement ensure that she will continue to elevate the fields of Computer Science and Engineering.

 

Malathy N | Computer Science | Best Researcher Award

Dr. Malathy N | Computer Science | Best Researcher Award

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

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • 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.
  • Innovation & Intellectual Property 🏅

    • One granted patent and four published patents demonstrate innovative contributions to applied research.
    • Published two book chapters, contributing to academic literature.
  • 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.
  • 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)

🔬 Research Interests On Computer Science

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:

  • Multi‐objective task scheduling in fog computing using improved gaining sharing knowledge based algorithm

    • Authors: M. Navaneetha Krishnan, R. Thiyagarajan
    • Year: 2022
    • Citations: 12
  • VAGR—Void aware in geographic routing for wireless sensor networks

    • Authors: A. Revathi, N. Malathy
    • Year: 2016
    • Citations: 8
  • Entropy‐based complex proportional assessment for efficient task scheduling in fog computing

    • Authors: N. K. Malathy, T. Revathi
    • Year: 2023
    • Citations: 7
  • 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
  • Pedestrian safety system with crash prediction

    • Authors: M. K. V. S. Ms. N. Malathy, Dr. S. Kavi Priya
    • Year: 2022
    • Citations: 3*
  • Smart trash bin level monitoring system

    • Authors: M. S. A. Ms. N. Malathy, Miss. D. Kaviyaadharshani
    • Year: 2022
    • Citations: 3*
  • Pedwarn-enhancement of pedestrian safety using mobile application

    • Authors: N. Malathy, S. Sabarish Nandha, B. Praveen, K. Pravin Kumar
    • Year: 2020
    • Citations: 2
  • Topology control for depth adjustment using geographic routing in underwater wireless sensor networks

    • Authors: A. Revathi, N. Malathy
    • Year: 2016
    • Citations: 1
  • 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.