Namrata Bist | Engineering | Best Researcher Award

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Dr. Namrata Bist | Engineering | Best Researcher Award

Pandit Deendayal Energy University | India

Dr. Namrata Bist is an accomplished energy engineering researcher and Assistant Professor in the Department of Petroleum Engineering at Pandit Deendayal Energy University (PDEU), Gandhinagar. With a Ph.D. focused on sustainable energy systems, she has developed strong expertise in geothermal energy, CO₂–EOR, hydrogen blending, carbon storage, reservoir modeling, and machine learning applications in subsurface engineering. Dr. Bist has authored more than 40 high-impact publications in reputed international journals and conferences, reflecting her commitment to advancing clean and efficient energy technologies. She has played key roles as PI, Co-PI, and Project Coordinator in several prestigious research projects funded by the Government of Gujarat, MNRE, Shell Energy India, and U.S.-based Project Inner Space, bridging academic insights with industrial relevance. Her research interests include hybrid renewable energy systems, sustainable reservoir engineering, and AI-driven optimization in energy production. She actively mentors B.Tech and M.Tech scholars, fostering innovation and scientific thinking among young engineers. Recognized for her strong academic contributions, interdisciplinary collaborations, and forward-looking vision, Dr. Bist continues to contribute significantly to India’s clean energy transition and global engineering research community.

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Featured Publications

Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

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Assist. Prof. Dr. Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

College of Engineering Kidangoor | India

Dr. Prasoon Prasenan P is a distinguished civil engineer and academician with a strong portfolio in structural engineering, project management, and infrastructure consultancy. He holds advanced qualifications in civil engineering, structural engineering, and project management, supported by extensive teaching experience and long-standing professional practice. His research contributions encompass structural behavior, sustainable construction materials, and innovative engineering techniques, reflected through published papers, patents, and technical projects, with a citation count of 6, an h-index of 1, an i10-index of 0, and documented scholarly outputs indexed in leading scientific databases. He has authored and co-authored valuable academic resources, including a notable book on construction materials and techniques, and has delivered expert lectures to large academic and professional communities. His professional footprint includes consultancy services for multiple government departments, focusing on infrastructure development, water systems, land management, and public works. His achievements include several patents at national and international levels, demonstrating his commitment to innovation in engineering solutions. He is an active member of prestigious professional bodies that support advancements in technical education and engineering practice. His ongoing interests lie in structural design, construction technology, sustainable engineering, and applied research, continuing to contribute to academic excellence and engineering development.

Profile: Google Scholar

Featured Publications

Prasoon, P. P., & Kumar, M. R. (2022). Basalt fibre reinforced polymer for strengthening of self-compacting concrete compression member. Civil Engineering and Architecture, 10(3), 830–835.

Prasoon, P. P., & Kumar, M. R. (2020). Durability properties of self-compacting concrete incorporating recycled high-density polyethylene plastics. International Journal of Advanced Research in Engineering & Technology, 11(11).

Prasoon, P. P., Kumar, M. S. R., & Vaisakh, G. (2018). Experimental investigation on effect of partial replacement of coarse aggregate by plastic aggregate on M40 grade self-compacting concrete. International Journal of Civil Engineering and Technology, 9(6), 964–970.

Ananth, T., Prasoon, M. P. P., Vijayakumar, M. C., & Das, K. M. (n.d.). Partial replacement of cement with sugar cane bagasse ash and hybrid fibers.

Amar Deep Maurya | Civil Engineering | Research Excellence Award

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Mr. Amar Deep Maurya | Civil Engineering | Research Excellence Award

Rajkiya Engineering College Mainpuri | India

Amar Deep Maurya is a researcher in civil engineering with contributions in sustainable construction materials, structural optimization, and innovative testing methods. His academic background includes a bachelor’s degree in civil engineering with strong engagement in interdisciplinary learning across environmental sciences and digital design tools. He has gained practical experience through engineering internships focused on road estimation, planning, sustainability, and environmental assessment. His research centers on waste-derived construction materials, particularly the statistical modeling and optimization of waste-glass-based paver blocks using Response Surface Methodology, which demonstrated marked improvements in strength and durability while reducing environmental impact. He has also contributed to the development of advanced mortar testing methods and has completed multiple design-based projects in AutoCAD and 3D modeling. His scholarly output includes research and review articles with measurable impact metrics such as h-index, citation count, and document contributions as reflected through academic indexing platforms. His publications explore areas including sustainable paver blocks, RSM-based prediction models, and self-healing concrete. Recognized for academic excellence, he secured a technical poster award and additional certifications enhancing his professional competence. Overall, his work reflects a commitment to sustainable engineering innovations and practical solutions for future-ready civil infrastructure.

Profile: Scopus

Featured Publication

Statistical modeling and optimization of waste glass-based paver block properties. (2025). Next Materials.

Sadananda Behera | Engineering | Best Researcher Award

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Assist. Prof. Dr. Sadananda Behera | Engineering | Best Researcher Award

NIT Rourkela | India

Dr. Sadananda Behera is a distinguished researcher in optical communication and intelligent network systems, widely recognized for his impactful scientific contributions. With strong academic foundations spanning electronics and communication engineering, advanced communication technologies, and optical systems, he has developed expertise that bridges theory, experimentation, and real-world network challenges. His research experience includes significant roles in premier institutions where he contributed to coherent modulation testbeds, advanced resource-allocation strategies, and machine-learning-driven solutions for elastic and space-division multiplexing networks. He has also conducted notable postdoctoral work focusing on AI-enabled optical networks, traffic prediction, and soft-failure detection frameworks. His scholarly output includes journal articles, conference presentations, and collaborative works addressing impairment-aware routing, bit loading, anomaly detection, and federated learning architectures for communication infrastructures. His research influence is demonstrated through 195 citations, an h-index of 7, and an i10-index of 6, reflecting the depth and applicability of his contributions across the photonics and network-optimization community. He continues to advance high-impact projects related to next-generation 6G hybrid transceivers and secure deep-learning-based channel estimation frameworks. His work focuses on optical communication, machine-learning applications for networks, and quantum key distribution, contributing to the evolution of resilient, high-capacity, and secure communication ecosystems.

Profile: Google Scholar

Featured Publications

Behera, S., Deb, A., Das, G., & Mukherjee, B. (2019). Impairment aware routing, bit loading, and spectrum allocation in elastic optical networks. Journal of Lightwave Technology, 37(13), 3009–3020.

Behera, S., George, J., & Das, G. (2018). Effect of transmission impairments in CO-OFDM based elastic optical network design. Computer Networks, 144, 242–253.

Behera, S., & Das, G. (2020). Dynamic routing and spectrum allocation in elastic optical networks with minimal disruption. In Proceedings of the National Conference on Communications (NCC) (pp. 1–5). IEEE.

Behera, S., Panayiotou, T., & Ellinas, G. (2023). Machine learning framework for timely soft-failure detection and localization in elastic optical networks. Journal of Optical Communications and Networking, 15(10), E74–E85.

Behera, S., Savva, G., Manousakis, K., & Ellinas, G. (2023). Impairment-aware routing, modulation, spectrum, and core allocation with bit loading in spectrally–spatially flexible optical networks. Journal of Optical Communications and Networking, 15(6), 318–332.

Deepana G | Engineering | Best Researcher Award

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Dr. Deepana G | Engineering | Best Researcher Award

S A Engineering College | India

Dr G. Deepana is an Assistant Professor in Civil Engineering whose research expertise spans ferrocement technology, sustainable concrete composites, waste‐based materials and structural durability. She has earned a PhD in Civil Engineering from Anna University, after completing an M.E. in Structural Engineering and a B.E. in Civil Engineering. With key interest areas including concrete technology, structural materials and design of reinforced concrete elements, she has published in leading peer‐reviewed journals (for example, on structural behaviour of ferrocement wall panels) and numerous conference proceedings. According to Google Scholar she currently holds an h-index of 2 with a total citation count of 11. She has also been granted multiple patents for eco-friendly concrete and brick products, serves as a peer reviewer in esteemed journals, and brings hands-on teaching and laboratory experience in material testing, environmental engineering and structural labs. Recognised for her academic achievements and awards, she actively contributes to teaching, mentoring and research in civil engineering. With adoption of innovative materials, waste-utilisation and durable design as guiding themes, she aims to prepare future engineers for both academic excellence and professional impact.

Profiles: Google Scholar

Featured Publications

Deepana, G. (2019). Synthesis and characterization of silica from Zea mays. International Journal of Engineering Research and Technology, 8(3), 311–316.

Deepana, G., Kamaraj, L., Ganapathi, S., Venkatesh, R., & Amarnath, M. K. (2024). Synthesis and machining characteristics study of agro-waste coconut shell powder incorporated aluminium alloy composite via the squeeze cast technique. International Journal of Cast Metals Research, 37(4–6), 276–286.

Gopal, D., & Shobarajkumar, D. (2024). Comparative study on structural behavior of ferrocement wall panels. Earthquake Engineering & Structural Dynamics, 53(5), 1727–1741.

Vijayaraj, A., Shreya, S., Deepana, G., Senthilvel, P. G., & Jebakumar, R. (2023). Organic and recyclable waste classification using integrated feature selection method. In Proceedings of the 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering. IEEE.

Amarnaath, S., & Deepana, G. (2024). Integrating sustainable development goals into business, marketing, finance and engineering for a better world. In Proceedings of the 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG) (pp. 1–8). IEEE.

Nitika | Engineering | Best Researcher Award

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Dr. Nitika | Engineering | Best Researcher Award

Baba Farid College of engineering and Technology, Bathinda | India

Dr. Nitika is an accomplished researcher and academician specializing in Electronics and Communication Engineering, with a focus on RF and microwave systems, antenna design, and graphene-based sensor technologies. She holds a Ph.D. and Master’s degree from the Thapar Institute of Engineering and Technology, Patiala, and a Bachelor’s in Electronics and Communication from Chandigarh Engineering College, Landran. Currently serving as an Assistant Professor at Baba Farid College of Engineering and Technology, she has previously contributed to research at TIET–Virginia Tech Center of Excellence in Emerging Materials, focusing on food quality monitoring using novel graphene-based microstrip antenna sensors. Her research contributions include several SCI and SCIE-indexed publications in reputed journals such as Journal of the Science of Food and Agriculture and International Journal of Microwave and Wireless Technologies. With an h-index of 5, i10-index of 4, and 90 citations, her impactful work bridges microwave engineering and food technology. Her interests extend to metamaterial-enabled RF systems, IoT-integrated antenna sensors, and biomedical diagnostics. She has actively participated in workshops and FDPs at premier institutes like NIT Rourkela and IIITDM Jabalpur. Through her dedication to research and innovation, Dr. Nitika continues to contribute significantly to advancing antenna-based sensing technologies and interdisciplinary applications.

Profile: Google Scholar

Featured Publications

Kaur, J., Nitika, & Panwar, R. (2019). Design and optimization of a dual-band slotted microstrip patch antenna using Differential Evolution Algorithm with improved cross polarization characteristics for wireless applications. Journal of Electromagnetic Waves and Applications, 33(11), 1427–1442. https://doi.org/10.1080/09205071.2019.1612283

Nitika, Khanna, R., & Kaur, J. (2018). Optimization of modified T-shape microstrip patch antenna using differential algorithm for X and Ku band applications. Microwave and Optical Technology Letters, 60(1), 219–229. https://doi.org/10.1002/mop.30939

Nitika, Kaur, J., & Khanna, R. (2022). Novel monkey-wrench-shaped microstrip patch sensor for food evaluation and analysis. Journal of the Science of Food and Agriculture, 102(4), 1443–1456. https://doi.org/10.1002/jsfa.11478

Kaur, J., Nitika, & Khanna, R. (2023). Exploration of adulteration in common raw spices using antenna-based sensor. International Journal of Microwave and Wireless Technologies, 15(7), 1117–1129. https://doi.org/10.1017/S175907872200112X

Kaur, J., Nitika, & Khanna, R. (2023). Rake-shaped microstrip sensors with high spatial resolution for analyzing liquid food quality. International Journal of Microwave and Wireless Technologies, 15(2), 204–212. https://doi.org/10.1017/S1759078722000587

Rajesh Bhagat | Engineering | Best Researcher Award

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Dr. Rajesh Bhagat | Engineering | Best Researcher Award

Yeshwantrao Chavan College of Engineering, Nagpur| India

Dr. Rajesh Madhukar Bhagat is an accomplished academician and researcher in the field of Mechanical Engineering, recognized for his significant contributions to manufacturing and industrial engineering. With an h-index of 7, over 42 documents, and more than 170 citations, his research exhibits a consistent impact in the scientific community. He holds a Ph.D. in Mechanical Engineering and has extensive teaching and research experience across reputed institutions, where he has mentored students and guided projects in areas such as production engineering, material science, and sustainable manufacturing. His academic endeavors focus on computer-aided design, optimization of manufacturing processes, renewable energy integration, and mechanical systems innovation. Dr. Bhagat has presented several papers at national and international conferences and published his work in reputed peer-reviewed journals. He has been recognized with multiple academic and research awards for his contributions to engineering education and innovation. With a strong blend of teaching excellence and research proficiency, Dr. Bhagat continues to inspire the next generation of engineers and researchers. His dedication toward advancing industrial technologies and promoting sustainable engineering solutions underscores his professional vision and impact in the field.

Profile: Google Scholar

Featured Publications

Agrawal, V., Bhagat, R., & Thikare, N. (2014). Impact of domestic sewage for irrigation on properties of soil. International Journal of Research Studies in Science, Engineering and Technology.

Bahoria, B. V., Pande, P. B., Dhengare, S. W., Raut, J. M., Bhagat, R. M., Shelke, N. M., & others. (2024). Predictive models for properties of hybrid blended modified sustainable concrete incorporating nano-silica, basalt fibers, and recycled aggregates: Application of advanced machine learning algorithms. Nano-Structures & Nano-Objects, 40, 101373.

Pande, P. B., Dhengare, S. W., Raut, J. M., Bhagat, R. M., Bahoria, B. V., Shelke, N., & others. (2025). Integrated hybrid machine learning techniques and multiscale modeling towards evaluating the influence of nano-material on strength of concrete. Multiscale and Multidisciplinary Modeling, Experiments and Design, 8(1), 26.

Dhengare, S., Sharma, R. L., Sobti, J., Gajbhiye, A. R., & Bhagat, R. (2020). Binary concrete expansion by means of copper slag, fly ash, sugarcane bagasse ash, and rice husk ash as partial replacement of cement. International Journal of Advanced Science and Technology, 29(7), 9973–9993.

Sharma, S., Bhagat, R., & Kanjilal, B. (1999). Community managed health financing: A strategy for achieving livelihood security and sustainable health impact. New Delhi: CARE-India.

Saurav Bhattacharjee | Engineering | Best Researcher Award

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Mr. Saurav Bhattacharjee | Engineering | Best Researcher Award

IIT KANPUR | India

Saurav Bhattacharjee is a dedicated researcher and academician in Civil Engineering with a focus on transportation and pavement materials. Currently pursuing doctoral research at IIT Kanpur, his work centers on soil stabilization, carbonation effects, and durability of cementitious materials. He combines strong analytical abilities with practical problem-solving approaches, contributing to both research and academic growth. Alongside his academic pursuits, he has actively engaged in consultancy projects, technical visits, and guiding students in research activities. His involvement in teaching, leadership roles, and academic societies reflects his commitment to fostering knowledge, innovation, and community development in engineering and beyond.

Professional Profile

Google Scholar

Education

Saurav Bhattacharjee has pursued a comprehensive academic journey in Civil Engineering. He is undertaking doctoral research at IIT Kanpur with a focus on carbonation and durability of lime-stabilized soils. Prior to this, he earned a Master’s degree in Civil Engineering from NIT Patna, where his dissertation explored innovative transport planning techniques for mid-sized cities. His undergraduate degree from NIT Agartala centered on the use of locally available materials in low-volume roads. His foundational education was rooted in science and engineering, which provided him with strong analytical skills and technical knowledge. This academic progression has shaped his expertise in transportation engineering.

Professional Experience

Saurav Bhattacharjee has contributed to academic, research, and consultancy activities in civil and transportation engineering. He has worked on government-supported projects investigating the durability of cementitious materials and long-term performance of stabilized layers. His experience includes field inspections, technical visits, and supporting postgraduate students in their research on soil and pavement stabilization. He has served as a course tutor and teaching assistant at IIT Kanpur, handling diverse subjects such as pavement materials, civil engineering materials, and communication skills. Beyond classroom teaching, he has coordinated academic activities, graded assignments, and guided students, demonstrating strong leadership, teamwork, and organizational capabilities.

Awards and Recognition

Saurav Bhattacharjee has been recognized for his research excellence through awards for best paper and best presentation at prestigious international conferences. His contributions on carbonation effects in cementitious and lime-treated soils earned him appreciation from global academic communities. He has also received competitive scholarships and fellowships for his studies and research at national institutes, acknowledging his academic merit and research potential. His leadership in academic and cultural societies at IIT Kanpur further reflects his recognized ability to contribute beyond research. These honors highlight his consistent commitment to high-quality research, knowledge dissemination, and contributions to both national and international platforms.

Research Skills

Saurav Bhattacharjee possesses strong research expertise in soil stabilization, durability analysis, and microstructural characterization of construction materials. His skills include designing and conducting laboratory experiments, performing thermogravimetric and calorimetric analysis, and evaluating physicochemical properties of cementitious systems. He is proficient in handling data analysis, interpretation, and report preparation with attention to detail. He has worked on projects involving carbonation, leaching, moisture infiltration, and curing in stabilized soils. Additionally, he has hands-on experience with advanced tools for microstructural evaluation and statistical analysis. His ability to translate laboratory findings into practical solutions underscores his strength in applied and interdisciplinary research.

Notable Publications

Impact of carbonation on calcium silicate hydrate phases in cementitious materials: Quantification of carbonate phases and residual lime content
Author: S Bhattacharjee, S Nair
Journal: Thermochimica Acta, 180114
Year: 2025

ROLE OF CARBONATION AND RESIDUAL LIME CONTENT ON LONG TERM STRENGTH BEHAVIOR OF LIME TREATED SUBGRADE SOILS
Author: S Bhattacharjee, S Nair
Journal: GEOMATE Journal 28 (129), 113-120
Year: 2025

Laboratory based accelerated carbonation approach to simulate long term field carbonation in cementitious mixtures
Author: S Bhattacharjee, S Nair
Journal: Physica Scripta 100 (4), 045015
Year: 2025

Role of carbonation and residual lime in long term strength behaviour of lime treated soil
Author: S Bhattacharjee, S Nair
Journal: 14th GEOMATE International Conference, Pattaya, Thailand, 679-685
Year: 2024

Effect of carbonation on calcium silicate hydrate
Author: S Bhattacharjee, S Nair
Journal: Journal of Physics: Conference Series, VIT Bhimavaram, India. 2779 (1), 012018
Year: 2024

Title: Impact of carbonation on lime-treated high plasticity index clayey soils
Author: S Bhattacharjee, S Nair
Journal: IRC-WASET, Montreal, Canada. 18 (5), 203-210
Year: 2024

Conclusion

Saurav Bhattacharjee stands out as a promising academician and researcher who blends technical expertise with leadership and teaching skills. His journey through premier institutions has equipped him with strong foundations in civil and transportation engineering. With a focus on real-world applications, he has advanced knowledge in soil stabilization and durability of construction materials, while actively contributing to academic communities through teaching, mentoring, and organizational roles. His scholarly publications, awards, and active participation in conferences underscore his commitment to impactful research. Driven by curiosity and dedication, he continues to pursue innovative solutions for sustainable infrastructure and engineering advancements.

Krishnakumar S | Engineering | Best Researcher Award

Published-on by Indian Scientist

Mr. Krishnakumar S | Engineering | Best Researcher Award

Sri Ramakrishna Engineering College, Coimbatore | India

S. Krishnakumar is an academician, researcher, and innovation mentor with expertise in robotics, automation, embedded systems, and artificial intelligence-driven medical imaging. He has contributed to advancing research in applied electronics while simultaneously guiding students through innovation and national-level hackathons. With multiple publications in reputed international journals and several patents to his credit, he has established himself as a committed contributor to both teaching and applied research. His career reflects a balance of academic instruction, research excellence, and innovation leadership, enabling students to explore interdisciplinary learning and practical applications of emerging technologies for societal development.

Professional Profiles

Orcid | Google Scholar

Education

S. Krishnakumar pursued his undergraduate studies in Electronics and Instrumentation Engineering, followed by a postgraduate degree in Applied Electronics from a leading engineering institution. His academic background provided him with a strong foundation in circuit design, instrumentation, automation, and advanced electronics. He has consistently built on this knowledge by engaging in research and publishing in high-impact journals. Currently, he is pursuing a doctoral degree in the field of medical image processing and artificial intelligence applications, where his research work focuses on developing efficient computational models for healthcare diagnostics and related applications, supported by academic rigor and innovation.

Professional Experience

Krishnakumar has served as an Assistant Professor in reputed engineering institutions, contributing to both teaching and research. He has taught courses in biomedical engineering, robotics, and automation, integrating practical applications with theoretical learning. Beyond classroom teaching, he has mentored students for major innovation competitions, including hackathons and national-level innovation challenges. His professional journey demonstrates a blend of academic instruction, research contribution, and mentoring for innovation and entrepreneurship. He has actively coordinated faculty development programs, technical workshops, and bootcamps, which have fostered creativity and critical thinking among students and faculty members across interdisciplinary domains.

Awards and Recognition

Throughout his academic and professional career, Krishnakumar has received recognition for his teaching, research, and mentoring excellence. He has participated in national and international conferences, presenting his research findings on automation, medical image analysis, and signal processing. His leadership in guiding students to success in national hackathons and innovation challenges has been acknowledged at institutional and government levels. He has also been recognized for his communication and debating skills in national-level events, earning accolades for his ability to inspire and engage audiences. His consistent achievements highlight his dedication to academic excellence and technological innovation.

Research Skills

Krishnakumar has strong research expertise in medical image analysis, artificial intelligence, robotics, and embedded systems. His work includes developing innovative computational models for disease diagnosis, advanced image processing techniques, and intelligent system design. He has published research in reputed Q1 and Q2 indexed journals and contributed to multiple patents that reflect practical solutions in automation, healthcare, and consumer technologies. His skills extend to tools such as MATLAB, LabVIEW, and LTspice, along with programming proficiency. His ability to integrate theoretical research with real-world applications has made significant contributions to the fields of applied electronics and biomedical engineering.

Notable Publications

Analysis of EEG signal for the estimation of concentration level of humans
Author: R Velnath, V Prabhu, S Krishnakumar
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012003
Year: 2021
Citations: 18

Review on sensor based colour sorting robot for candy manufacturing
Author: S Krishnakumar, K Sneha, A Reethika
Journal: IOP Conference Series: Materials Science and Engineering 1084 (1), 012094
Year: 2021
Citations: 6

RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis
Author: K Subramaniam, A Naganathan
Journal: International Journal of Imaging Systems and Technology 34 (5), e23187
Year: 2024
Citations: 2

Enhancing retinal fundus image classification through active gradient deep convolutional neural network and red spider optimization
Author: K Subramaniam, A Naganathan
Journal: Neural Computing and Applications 36 (26), 16607-16619
Year: 2024
Citations: 2

RFLSR based Productive MBIST Architecutre for VLSI
Author: M Supriya, V Jayaraj, S Vinod, VU Maheswari, MA Raja, S Krishnakumar
Journal: 2022 Second International Conference on Advanced Technologies in Intelligent …
Year: 2022
Citations: 1

Conclusion

S. Krishnakumar represents a blend of educator, researcher, and innovator, with his career dedicated to advancing science, technology, and education. His contributions span across classroom teaching, impactful research, and mentorship for innovation-driven learning. He continues to work on interdisciplinary challenges that bridge electronics, automation, and healthcare applications, creating solutions with societal impact. His leadership in student innovation, national hackathons, and faculty training programs has fostered an ecosystem of learning and creativity. With a strong research profile, technical expertise, and passion for teaching, he remains committed to driving excellence in academia and applied technological advancements.

Anubhava Srivastava | Engineering | Best Researcher Award

Published-on by Indian Scientist

Dr. Anubhava Srivastava | Engineering | Best Researcher Award

Sharda University, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Anubhava Srivastava, embarked on his academic journey in Amethi, Uttar Pradesh, completing his Secondary and Higher Secondary education from GIC Sultanpur. He pursued B.Tech and M.Tech in Computer Science & Engineering from AKTU Lucknow, with his M.Tech thesis focusing on secure routing protocols in P2P networks. His scholarly progression culminated in a Ph.D. from RGIPT Jais, an Institute of National Importance, where he specialized in Artificial Intelligence (AI) and Remote Sensing technologies.

🏢 PROFESSIONAL ENDEAVORS

Dr. Srivastava currently serves as an Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida. His prior roles include academic appointments at Noida Institute of Engineering Technology and Rajarshi Rananjay Sinh Institute of Management Technology, Amethi. With nearly a decade of teaching and research experience, he has demonstrated deep expertise in areas like Machine Learning, Geo Informatics, and Google Earth Engine (GEE).

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Srivastava’s Ph.D. thesis titled “Estimation of Change in LU/LC Mapping with Classification of Digital Signature using AI/ML Techniques over Google Earth Engine” reflects his interdisciplinary mastery. His research spans remote sensing, satellite image processing, forest degradation analysis, and environmental monitoring using AI/ML. He has actively explored the fusion of Earth Observation data with AI-driven models to tackle real-world environmental challenges.

He has authored 12 SCI/SCOPUS indexed journal articles, 14 international conference papers, and 4 Scopus-indexed book chapters, illustrating a sustained contribution to computational intelligence, environmental informatics, and secure networks.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • H-index: 9 (Google Scholar), 8 (Scopus)

  • Publications in high-impact journals such as Science of the Total Environment

  • Patent holder of two published design patents:

    • RFID-based Animal Tracking Strap

    • Irrigation Water Management System

He is also a multiple-time GATE qualifier and has completed over seven Coursera-certified advanced technology courses, reinforcing his commitment to lifelong learning.

🌍 IMPACT AND INFLUENCE

Dr. Srivastava’s research has impacted areas such as:

  • Sustainable forestry and climate monitoring

  • Urban noise pollution mapping using GIS

  • Precision agriculture with AI-enabled tools

  • Disaster monitoring via remote sensing platforms

His innovations like the Forest Cover Change Calculator (FCCC) and real-time environmental monitoring systems using GEE have influenced both academia and policy-driven environmental assessments.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Srivastava is poised to shape the next generation of AI-integrated environmental science. His emphasis on open-source platforms, especially Google Earth Engine, promotes scalable and accessible research tools. He aims to:

  • Develop AI-based real-time monitoring frameworks

  • Advocate for digital literacy in rural India

  • Expand applications of machine learning in environmental and agricultural sustainability

 ✅CONCLUSION

Dr. Anubhava Srivastava stands at the confluence of computer science, environmental engineering, and artificial intelligence, translating research into practical applications that address climate change, urban planning, and ecological preservation. His academic rigor, innovative spirit, and collaborative outlook mark him as a rising thought leader in intelligent Earth observation and digital transformation in environmental sustainability.

🔬NOTABLE PUBLICATION:

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Authors: V.B. Sharma, K. Singh, R. Gupta, A. Joshi, R. Dubey, V. Gupta, S. Bharadwaj, …
Journal: Applied System Innovation, Volume 4(3), Article 59
Year: 2021

Mapping Vegetation and Measuring the Performance of Machine Learning Algorithm in LULC Classification in the Large Area Using Sentinel-2 and Landsat-8 Datasets of Dehradun
Authors: A. Srivastava, S. Bharadwaj, R. Dubey, V.B. Sharma, S. Biswas
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2022

Exploring Forest Transformation by Analyzing Spatial-Temporal Attributes of Vegetation Using Vegetation Indices
Authors: A. Srivastava, S. Umrao, S. Biswas
Journal: International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14(5)
Year: 2023

A Probabilistic Gossip-Based Secure Protocol for Unstructured P2P Networks
Authors: A. Srivastava, P. Ahmad
Journal: Procedia Computer Science, Volume 78, Pages 595–602
Year: 2016

Determination of Optimal Location for Setting Up Cell Phone Tower in City Environment Using LiDAR Data
Authors: S. Bharadwaj, R. Dubey, M.I. Zafar, A. Srivastava, V.B. Sharma, …
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2020