Tag: Water Conservation Award
Protected: Pralhad Teggi, Environmental Science, Water Conservation Award
Kavitha Sharanappa Gudadur, Environmental Science, Water Conservation Award
Miss. Kavitha Sharanappa Gudadur: Senior Research Fellow at Indian Institute of Information Technology Design and Manufacturing Kancheepuram, India
Kavitha S. G is a highly motivated researcher specializing in wearable biomedical sensors, nanobiotechnology, and functional materials. She is a PhD scholar (thesis submitted) at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Kancheepuram, where her work focuses on developing nanocomposite thermochromic patch sensors for early breast cancer detection. With a strong background in biotechnology, micro/nanofluidics, and material engineering, she has contributed to multiple interdisciplinary projects and published in SCI-indexed journals. Her research integrates biosensing, polymer nanocomposites, thermal management materials, and additive manufacturing to create innovative, non-invasive healthcare technologies.
Online Profiles
Google Scholar Profile
Kavitha has achieved a growing research impact, with 43 citations overall since 2020, maintaining an h-index of 3 and an i10-index of 2. These metrics reflect the visibility and relevance of her contributions to wearable biosensors, thermochromic materials, nanobiotechnology, and biomedical device engineering, with her recent publications receiving consistent citations in the scientific community.
Education
Kavitha is pursuing her PhD in Bionanotechnology Engineering at IIITDM Kancheepuram, where she has developed a nanocomposite-based thermochromic wearable patch sensor for early-stage breast cancer detection. She holds an M.Tech in Industrial Biotechnology from the National Institute of Technology Karnataka (NITK), graduating with distinction, and a B.E. in Biotechnology Engineering from NMAM Institute of Technology with high academic standing. Her academic training spans biotechnology, material science, environmental processes, nanotechnology, and biomedical device development.
Research Focus
Her research focuses on designing and developing flexible wearable biomedical sensors, nanostructured functional materials, thermochromic systems, and micro/nanofluidic devices for early disease detection and healthcare monitoring. She specializes in polymer nanocomposites, electrospun nanofibers, thermal management materials, biosensing platforms, sweat biomarker detection, and temperature-based diagnostics. She also works extensively in environmental biotechnology, molecular biology techniques, and cell line studies. Her work aims to bridge material science and biomedical engineering to enable next-generation non-invasive diagnostics.
Experience
Kavitha has over four years of research experience, currently serving as a Senior Research Fellow at IIITDM Kancheepuram, where she develops thermochromic wearable sensors, breathable electrospun patches, and microfluidic biosensing devices. She has previously worked on biosynthesis of nanoparticles at SRM Medical College and completed internships in clinical data management at Samahitha Research Solutions and stem cell research at NUCSReM. Her work spans experimental fabrication, characterization, modelling, device design, and biological testing, supported by strong multidisciplinary laboratory experience.
Research Timeline & Activities
Her research journey includes undergraduate work in microbial chassis design for flavonoid production (2015–2019), postgraduate research on photocatalytic degradation using biogenic Ag-doped ZnO nanoparticles (2019–2021), and doctoral research from 2021 onwards focusing on wearable nanocomposite thermochromic patch sensors for breast cancer detection. Over the years, she has worked on nanomaterial synthesis, electrospinning, thermochromic pigment integration, polymer film fabrication, microfluidic biosensor development, mathematical modelling of breast phantoms, and validation studies using infrared imaging and Python-based simulations.
Awards & Honors
Kavitha has been recognized with the Best Outgoing Student Award (2020–21) at the National Institute of Technology Karnataka for her academic excellence and research performance. She is also a recipient of the National Means–Cum–Merit Scholarship (NMMS) awarded by the Government of India, reflecting her consistent scholastic achievements. These honors underscore her dedication, academic merit, and research potential in biotechnology and biomedical engineering.
Top Noted Publications
Her notable publications include SCI-indexed works such as Flexible Reversible Polymer Nanocomposite Thin Film Patch for Wearable Temperature Sensors (Surfaces and Interfaces, 2023), Smart Wearable VO₂-Coated Textile for Thermochromic and Sensing Applications (IEEE Sensors Letters, 2024), Wearable PVA–Nickel Nanocomposite Patch for Temperature Sensor (Polymer Advanced Technologies, 2024), Reversible Thermochromic Membrane for Temperature Sensing (Polymer, 2025), and Photocatalytic Degradation of Caffeine Using Biogenic Ag-Doped ZnO Nanoparticles (International Journal of Environmental Research, 2025). These works highlight her contributions to wearable sensing technologies, nanocomposites, thermochromic materials, and environmental nanotechnology.
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Flexible Reversible Polymer Nano-Composite Thin Film Patch for Wearable Temperature Sensor
KS Gudadur, P Veluswamy
Surfaces and Interfaces 39, 102975 (2023)
Citations: 24 -
Tribological Hurdles in Biomedical Manufacturing: A Comprehensive Examination
A Kumar, P Gajjar, KS Gudadur, A Kumar, A Kumar Gupta, A Choudhari, …
Application of Biotribology in Biomedical Systems, 167–198 (2024)
Citations: 10 -
Smart Wearable Thermal Management VO₂-Coated Textile for Thermochromic and Sensing Applications
KS Gudadur, T Reji, PG Gopinath, J Jayabal, S Sathyamoorthy, …
IEEE APSCON 2024, BITS Pilani K. K. Birla Goa Campus
Citations: 3 -
Wearable Skin-Integrated Flexible PVA–Nickel Nanocomposite Patch for Temperature Sensor
KS Gudadur, A Kumar, P Veluswamy
Polymers for Advanced Technologies 35(6), e6477 (2024)
Citations: 2 -
Biosensor and Nanotechnology for Diagnosis of Breast Cancer
KS Gudadur, A Manammal, P Veluswamy
Biosensors Nanotechnology, 347–369 (2023)
Citations: 2
Strengths for the Water Conservation Award
1. Proven Contribution to Water Pollution Mitigation Using Green Nanotechnology
Kavitha has carried out impactful work on the synthesis of biogenic Ag-doped ZnO nanoparticles and their application in the photocatalytic degradation of harmful organic pollutants in contaminated water systems.
Her research offers a sustainable, cost-effective, and energy-efficient approach for breaking down toxic chemicals, especially caffeine and dye-based pollutants commonly found in wastewater.
This work directly supports cleaner water systems and provides a scientific foundation for next-generation water remediation technologies.
2. Advancement of Eco-Friendly Sustainable Materials for Water Treatment
She has developed several functional polymer and nanocomposite materials that avoid harsh chemical processes and minimize environmental footprint.
Her research promotes eco-safe materials that can be used in water filtration, pollutant capture, and controlled-release applications.
These sustainable material systems contribute to reducing dependency on synthetic chemicals in water purification while encouraging the adoption of nature-inspired, biodegradable, and non-toxic alternatives.
3. Expertise in Micro/Nanofluidics for Water Quality Monitoring and Detection
Kavitha’s experience in microfluidic and nanofluidic device fabrication enables the development of low-cost, portable, and highly sensitive water quality monitoring systems.
Her background supports the creation of integrated sensing platforms that can rapidly detect trace contaminants, temperature variations, and biochemical species in water samples.
Such technologies are vital for real-time water surveillance, early detection of water pollution, and resource-efficient monitoring in underserved or rural communities.
4. Interdisciplinary Research Base Connecting Biotechnology, Materials Science, and Environmental Engineering
Her diverse training across biotechnology, molecular biology, material engineering, and environmental nanotechnology enables her to design holistic solutions for water conservation challenges.
She works seamlessly across domains such as microbial systems, nanomaterial synthesis, thermochromic materials, and polymer engineering, making her research adaptable to environmental applications.
This interdisciplinary skillset allows her to integrate biological and materials-based strategies to support cleaner water and sustainable environmental management.
5. Strong Research Impact, Academic Excellence, and Recognitions
Kavitha’s rising research impact—with 43 citations, h-index 3, and i10-index 2—demonstrates the relevance and visibility of her scientific contributions on platforms such as Google Scholar.
Her academic achievements, including the Best Outgoing Student Award from NITK and the National Means-cum-Merit Scholarship (NMMS), highlight her strong commitment to excellence and societal impact.
These credentials strengthen her eligibility for the Water Conservation Award, showing a consistent pattern of scientific dedication, innovation, and contribution toward sustainable resource utilization.
Abhijeet Das, Engineering, Water Conservation Award
Dr. Abhijeet Das: Research Consultant at C.V. Raman Global University (CGU), Bhubaneswar, Odisha, India
Dr. Abhijeet Das is a highly skilled and passionate water resource engineer with a comprehensive background in civil engineering, specializing in water quality management, hydrological modeling, and the application of emerging technologies like machine learning and GIS. Currently holding a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Dr. Das has established himself as an expert in assessing and managing surface water resources, particularly in the context of climate change. His interdisciplinary approach combines environmental engineering with advanced data analytics to address the complexities of water scarcity, pollution, and sustainability. Throughout his career, he has collaborated on multiple international projects with prestigious institutions in Europe, the United States, the Middle East, and Africa. Dr. Das aims to make a lasting impact on global water resource management and environmental sustainability through innovative solutions and research-driven methodologies.
Online Profiles
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Citations: 196 citations from 98 documents
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h-index: 7 (h-index is a measure of both the productivity and citation impact of the author’s publications)
Education
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Ph.D. in Water Resource Engineering – C.V. Raman Global University, Bhubaneswar (2024), CGPA: 9.38
Dr. Das’s doctoral research focused on advanced hydrological modeling techniques and their application to sustainable water resource management. He employed machine learning algorithms, GIS, and remote sensing to address challenges in flood control, drought management, and water quality monitoring in India. -
M.Tech in Water Resource Engineering – Biju Patnaik University of Technology, Rourkela (2017), CGPA: 9.32
During his M.Tech studies, Dr. Das worked on integrating machine learning models with traditional hydrological modeling tools to predict water quality in Indian river basins, paving the way for his future research in the use of AI in water resources. -
B.Tech in Civil Engineering – Biju Patnaik University of Technology, Rourkela (2015), CGPA: 8.55
His undergraduate degree laid the foundation for his engineering knowledge, with a strong focus on structural and environmental engineering, providing him with a deep understanding of civil engineering principles. -
Intermediate/+2 Science – Stewart Science College, Cuttack (2011), 70.5%
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Matriculation/10th – S.C.B. Medical Public School, Cuttack (2009), 79.86%
Research Focus
Dr. Das’s research primarily focuses on water resource engineering, emphasizing hydrological modeling, water quality assessment, and climate change impacts. He is particularly interested in understanding the relationship between water availability and human activities, as well as exploring the potential of machine learning, remote sensing, and GIS to improve water resource management. His work on the Food-Energy-Water (FEW) Nexus and optimization of water quality using multi-criteria decision-making approaches has significantly contributed to improving resource sustainability. Additionally, his innovative work in the application of artificial neural networks (ANN), fuzzy logic, and other AI-based approaches in water quality management has made him a leading researcher in this domain.
Experience
Dr. Das has accumulated over a decade of experience in both academic and practical fields, blending theoretical knowledge with real-world applications. His career spans multiple roles, including:
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Project Consultant at Madhu Smita Design & Engineers Studio (2022–2025) – Working on projects related to water resource management, optimization of water quality indices (WQI), and GIS-based hydrological modeling.
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Assistant Professor in Civil Engineering at IGIT Sarang and CET Bhubaneswar (2017–2022) – Where he taught courses in environmental and water resources engineering and mentored undergraduate and postgraduate students.
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Intern at A.B. Consultancy Private Ltd. (2015–2017) – Gained hands-on experience in hydrological analysis and water resource management in Odisha.
In addition to his academic and consulting roles, Dr. Das has also been involved in several collaborative projects with international organizations, including projects in Saudi Arabia, Oman, Tunisia, and the United States, focusing on advanced water quality assessment and flood management using AI and GIS technologies.
Research Timeline & Activities
Dr. Das’s research journey has spanned several key projects and activities, including:
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June 2024 – December 2024: Project Assistant at Eremology and Combatting Desertification Laboratory, IRA Medninine, Tunisia, focusing on wastewater resources and salinity predictions in Saudi Arabia.
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January 2025 – April 2025: GIS Consultant for the “Surface Water Management and Water Quality Index Optimization” project at Texas Christian University, USA.
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2024–2025: Collaborative research on water quality contamination detection and management through remote sensing and machine learning techniques, working with the University of Technology and Applied Sciences, Oman.
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2019–2024: Involvement in projects such as surface water potential zone identification in the UK and integration of geospatial algorithms for surface water characterization in South Africa.
These experiences have expanded his research scope across global contexts, offering practical solutions for water sustainability and quality control.
Awards & Honors
Dr. Das’s contributions to water resource engineering and environmental science have been recognized with numerous awards, including:
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Best Young Researcher Award at the International Conference on Sustainable Growth (2024) for his innovative work in GIS and machine learning for water quality assessment.
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Research Excellence Award (2024) for his work on machine learning algorithms for water potential zone identification, awarded by the New Research and Innovation Society (NEWRAINS).
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Inspiring Educator Award (2024) for his excellence in teaching and research in water resource engineering.
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Asia’s Most Promising Researcher Award (2024) by the Asia Research Awards, recognizing his contributions to sustainable water resource management.
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Best Paper Awards at various international conferences such as ISDMME-2023, ICSEEGT-2023, and RASTEMS-2023 for his work on water quality and pollution source assessment in river basins across India.
Dr. Das has also been invited as a speaker at several prestigious global conferences, including the 4th Global Summit on Earth Science and Climate Change (2025, Berlin) and GeoEarth-2025 (Berlin).
Recent Noted Publications
1. An Optimization-Based Framework for Water Quality Assessment and Pollution Source Apportionment
Journal: Discover Environment (2025)
Focus: An optimization-based framework for assessing water quality and identifying pollution sources, utilizing GIS and machine learning techniques.
2. Reimagining Biofiltration for Sustainable Industrial Wastewater Treatment
Journal: Discover Environment (2025)
Focus: A review article on biofiltration as a sustainable method for industrial wastewater treatment.
3. A Data-Driven Approach Utilizing Machine Learning and GIS-Based Time Series Analysis with Data Augmentation for Water Quality Assessment in Mahanadi River Basin, Odisha, India
Journal: Discover Sustainability (2025)
Focus: A study on water quality assessment in the Mahanadi River Basin using machine learning, GIS, and time series analysis.
Citations: 2
4. Evaluation and Prediction of Surface Water Quality Status for Drinking Purposes Using Integrated Water Quality Indices, GIS Approaches, and Machine Learning Techniques
Journal: Desalination and Water Treatment (2025)
Focus: This article discusses the use of integrated water quality indices, GIS, and machine learning to assess water quality for drinking purposes.
Citations: 1
5. Bioplastics: A Sustainable Alternative or a Hidden Microplastic Threat?
Journal: Innovative Infrastructure Solutions (2025)
Focus: An examination of bioplastics, considering whether they are a sustainable alternative or pose a hidden risk in the form of microplastics.
Strength for the Water Conservation Award
1. Innovative Use of AI and Machine Learning for Water Management
Dr. Das has pioneered the application of machine learning algorithms and GIS-based hydrological modeling in water quality management. His use of AI for tasks like water quality assessment, flood control, and drought management is not only innovative but also critical in the context of water conservation. These technologies enhance the precision of water resource management, helping to optimize the use of available water, identify contamination sources, and predict water stress areas before they become critical.
2. Interdisciplinary Approach to Water Resource Sustainability
Dr. Das’s interdisciplinary approach combines environmental engineering with advanced data analytics, effectively addressing the complex challenges of water scarcity, pollution, and climate change. His research on the Food-Energy-Water (FEW) Nexus and optimization of water quality through multi-criteria decision-making approaches has resulted in sustainable solutions for water conservation that integrate water, energy, and food systems.
3. International Collaboration and Global Impact
Dr. Das has worked on international water conservation projects across Europe, the United States, the Middle East, and Africa, focusing on water quality assessment, flood management, and sustainable resource use. His collaborations with institutions such as the University of Technology and Applied Sciences in Oman, Texas Christian University in the USA, and others in Saudi Arabia and Tunisia contribute to global knowledge sharing, helping improve water management practices worldwide.
4. Commitment to Advancing Water Resource Education
As an educator and mentor, Dr. Das has trained undergraduate and postgraduate students in water resources engineering, fostering the next generation of water conservation experts. His recognition with awards like the Inspiring Educator Award showcases his impact in nurturing future leaders in the field of sustainable water management.
5. Practical, Data-Driven Solutions for Local Water Issues
Dr. Das’s research on the Mahanadi River Basin in Odisha and other local water bodies highlights his focus on region-specific water challenges. His data-driven approach using time series analysis, GIS, and machine learning for water quality assessment and prediction is crucial for areas struggling with water pollution, contamination, and resource scarcity. His work directly benefits local communities by providing evidence-based recommendations for water conservation.
6. Track Record of Publications and Research Excellence
With over 196 citations and impactful publications in high-ranking journals, Dr. Das’s work is well-recognized in the academic community. His research on sustainable water resource management is aligned with the goals of many water conservation awards, making him eligible based on his contributions to the field.