Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

Dr. Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

Dr. Srinithi Jeyachandran | Optimization Techniques – Kalasalingam Academy of Research and education | India

Dr. Srinithi Jeyachandran is a dynamic academician and researcher in the field of Chemical Engineering and Ceramic Technology. With a strong foundation in advanced material development, thermochemical processes, and sustainability, she blends academic excellence with hands-on research in solving real-world industrial and environmental challenges. Her passion lies in applying innovative chemical technologies for sustainable energy, clean water systems, and environmental remediation. Currently serving as Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education, Tamil Nadu, she continues to influence the next generation of engineers through innovative teaching and impactful research.

Professional Profile

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Education

Dr. Jeyachandran holds a Ph.D. in Chemical Engineering from Anna University, Chennai, where her doctoral research focused on cardanol-derived thermoset hybrid-coated cotton fabrics for oil-water separation. She earned her M.Tech in Ceramic Technology from the prestigious Anna University (AC Tech Campus), exploring the synthesis and characterization of magnetic nano-materials. She began her engineering journey with a B.Tech in Chemical Engineering from Mohamed Sathak College of Engineering and Technology. Her academic career has consistently been marked by excellence, demonstrated through high CGPA scores and a focused research orientation.

Academic and Professional Experience

Dr. Srinithi brings over 6 years and 4 months of dedicated academic experience. She is currently an Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education. She has previously served in multiple reputed institutions such as Veltech High-tech Dr. Rangarajan & Dr. Sakunthala Engineering College and St. Michael College of Engineering and Technology. Her roles span across teaching core chemical engineering subjects, curriculum development, research mentoring, and organizing industrial collaborations. She has coordinated academic events, supervised student projects, conducted workshops, and mentored teams for national-level competitions, including Smart India Hackathon.

Research Interests

Dr. Srinithi’s research spans a wide spectrum of chemical process engineering, nanomaterial synthesis, and green technologies. Her core interests include heat and mass transfer, superhydrophobic surfaces, oil-water separation, bio-diesel production, and heterogeneous catalysis. Her doctoral and master’s research work has contributed to developing efficient materials for environmental separation technologies and fuel processing. She is particularly interested in the development of organic–inorganic hybrid materials, transesterification for biodiesel, and IoT-powered treatment systems, aligning closely with sustainable development goals.

Patents and Innovation

Demonstrating innovation in applied science, Dr. Srinithi holds two patents. One of them outlines an IoT-based solar-powered wastewater treatment system, reflecting her commitment to merging renewable energy with environmental cleanup. The second patent features a radio-controlled valve system for pasteurization, integrated with deep reinforcement learning models—an intersection of AI and chemical engineering. Her work reflects a forward-thinking approach to automation and smart manufacturing processes.

Awards and Recognition

Dr. Srinithi’s dedication to research and academic quality has earned her accolades such as the Young Researcher Award during SRM CDBEST 3.0 and a Reviewer Excellence Award from the Asian Journal of Current Research. These recognitions reflect her ongoing contributions to the scientific and academic community, both as a researcher and a peer-reviewer.

Professional Engagement and Contributions

She is an active member of the Indian Ceramic Society and has contributed significantly to various academic committees and symposiums, including CHEMZONE and CONCERT. Dr. Srinithi has organized and attended multiple Faculty Development Programs (FDPs), workshops, and guest lectures on emerging topics like smart cities, food technology, and safe plant design. She also contributes to MOOC platforms, NPTEL content, and ISO documentation, showing her multifaceted role in institutional development.

Publications

🧪 Layer-by-layer silica and cardanol epoxy modified cotton fabric for oil–water separationSilicon (2023) 📘 | SCI | IF: 2.8 | Cited in works on durable superhydrophobic textiles.
🌊 Silica-assisted superhydrophobicity using cardanol polybenzoxazine coatingsSilicon (2023) 📘 | SCI | IF: 3.2 | Referenced in oil–water separation and surface engineering research.
⚗️ Experimental & simulation analysis to predict biodiesel yield using heterogeneous catalystsIJRASET (2023) 🔬 | Scopus | Cited in biodiesel process modeling studies.
🌱 Biodiesel: Review on production techniques and raw material economicsIJSREM (2022) 📚 | Scopus | Quoted in renewable energy and economic feasibility research.
🧲 Synthesis of (Ni, Cu, Zn) ferrite composites by ball millingJournal of Chemical and Pharmaceutical Sciences (2016) 🔍 | IF: 0.4 | Cited in nanostructured ferrite material analysis.

 

Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

Mrs. Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

Vels Institute of Science, Technology & Advanced Studies (VISTAS) | India

Author Profile

Google Scholar

Suitability Summary

Mrs. Vijitha Sriramulu is a dedicated academician with over 7.6 years of teaching experience in Computer Science and Engineering. Her career objective is to align individual growth with institutional goals by contributing to teaching, research, and academic development. With strong subject knowledge in Software Engineering, Cloud Computing, Data Structures, and Artificial Intelligence, she blends academic responsibilities with a passion for innovation. Her ongoing Ph.D. at Vels University highlights her commitment to continuous learning. Known for her active role in academic coordination, curriculum development, and technical event organization, she is a valuable asset to any academic institution.

🎓 Education & Experience

Mrs. Vijitha holds an M.E. in CSE from Vel’s University with First Class and Distinction (80.45%) and a B.E. in CSE from Anna University with First Class (74%). She completed HSC with 90.20% and SSLC with 80.50%. Her academic experience includes roles as Assistant Professor at:

  • St. Anne’s College of Engineering & Technology (2011–2013),

  • Vel Tech University (2020–2021),

  • Vels University (2021–Present).
    She is currently pursuing her Ph.D. in Computer Science at Vels University, Chennai.

📜 Professional Development

She has completed certifications from top platforms:

  • NPTELSoftware Engineering, Privacy & Security, Data Science

  • COURSERAPython Data Structures, Algorithms, Graphs, Strings

  • UdemySQL Bootcamp

  • Great Learning AcademyJava, R, Machine Learning, Model Deployment

She is IBM Certified in Object-Oriented Analysis and Design using UML and is a member of the Indian Society for Technical Education (ISTE). Her leadership roles include:

  • IBM Coordinator

  • Industrial Visit Coordinator

  • Value-Added Course Coordinator

  • Curriculum and Syllabus In-charge

She has organized multiple events such as workshops, seminars, webinars, and an international conference on Computational Intelligence.

🔬 Research Focus

Her research spans across modern technologies including:

  • AI & MLBreast Cancer Prediction, Emotion Detection, Battery Failure Detection

  • BlockchainDecentralized Marketplaces, Health Prediction Systems

  • Cloud ComputingResource Allocation, Data Privacy, E-Records in Healthcare

  • IoT & Smart SystemsCrowd Management, Virtual Reality in Surgery, Precision Agriculture

Her contributions include:

  • 15+ Journal Publications (SCI, Scopus, UGC)

  • 10+ Conference Papers (IEEE, National)

  • 3 Book Chapters (Blockchain, AI)

  • 3 Books AuthoredAI Concepts, Design and Analysis of Algorithms, Data Structures using C

  • 4 Patents Filed – covering IoT, VR, COVID-19 Prediction, and E-Commerce Pricing

  • TNSCST Funded Student Project (2022–2023)

🏆 Honors & Awards

  • Rank Holder (M.E.) – Received medal from Dr. A.P.J. Abdul Kalam in 2014

  • Achieved 3500+ Hackos on HackerRank and HackerEarth

  • Served as IEEE Reviewer for conferences like:

    • SASI-ITE’24

    • IC2PCT-2024

    • IC-ETITE’24

  • Committee member in institutional events:

    • Vels Salute

    • Vels Nakshatra

    • Viksit Bharat

Her accolades, publications, and leadership in both academic and research spheres reflect her well-rounded excellence in the field of Computer Science.

📖Publications

Neural Network Implementation for Battery Failure Detection in Electric Vehicles
    • Authors: S. Vijitha, D. Hebri, S. Singh, M. Manohara, M. Ishrat, D.R. Joseph

    • Journal/Conference: 2023 International Conference on Innovative Computing, Intelligent Systems and Applications

    • Year: 2023

Blockchain-Based Infrastructure for Precision Agriculture
    • Authors: A. Packialatha, S. Vijitha, A. Sangeetha, K. Seetha Lakshmi

    • Journal/Conference: Integrating Blockchain and Artificial Intelligence for Industry 4.0 (Book/Chapter or Conference Proceedings)

    • Year: 2023

Data Structures Concepts and Practices using C
    • Authors: G.S. V. Lavanya, K. Jancy Rani

    • Journal/Conference: Book (Likely textbook or academic publication)

    • Year: 2025

Steganography Using Improved Diffie Hellman Algorithm and Elliptic Curve Cryptography
    • Author: P.P. Anandan R

    • Journal/Conference: IEEE Xplore

    • Year: 2025

Blockchain-based Decentralized Identifier in Metaverse Environment for Secure and Privacy Preserving Authentication with Improved Key Management and Cryptosystem
    • Author: A. R

    • Journal/Conference: Peer-to-Peer Networking and Applications

    • Year: 2025

 Edge AI: Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics
    • Authors: S.S. Sagar Choudhary, Dokku Durga, Bhavani, Bhuvaneswari, N. Mohit Tiwari

    • Journal/Conference: Web of Science indexed publication (exact journal not specified)

    • Year: 2025