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

Rounak Raman | Information Technology | Research Excellence Award

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Mr. Rounak Raman | Information Technology | Research Excellence Award

Netaji Subhas University of Technology | India

Rounak Raman is a technology researcher and engineering innovator with a strong academic background in Information Technology and a multidisciplinary portfolio spanning artificial intelligence, machine learning, generative AI, computer vision, IoT systems, wireless sensor networks, and network security. He has gained significant research and development experience through contributions at DRDO-INMAS, where he worked on EEG-based cognitive analytics and neurofeedback systems, and at NSUT, where he designed advanced IoT protocols including energy-aware clustering, trust-based opportunistic communication, and secure hierarchical key-rotation mechanisms. His technical work extends into generative AI solutions, semantic search systems, real-time computer vision applications, and large-scale image and document intelligence models. He has led impactful projects such as PRAGATI smart parking, SyntheX document analysis framework, and QuickTag for AI-driven product taxonomy. His achievements include securing positions in national innovation challenges, hackathons, entrepreneurship competitions, and international fellowship programs. Alongside industry-recognized certifications in data science, system design, and cybersecurity, he has also held leadership roles in student organizations, mentoring teams, guiding open-source contributions, and facilitating research collaboration. His research interests include GenAI, NLP, IoT security, WSNs, cryptography, edge intelligence, and autonomous network optimization. He remains committed to creating scalable, socially impactful technological solutions.

Profiles: Google Scholar

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 101809.

Raman, R., Yadav, A., & Kukreja, D. (2025). ARMor-IoT: Aggregated reliable mechanism for optimized trust in IoT. In International Conference on Artificial Intelligence and Its Application (pp. 229–241).

Padmini Sankaramurthy | Energy | Research Excellence Award

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Dr. Padmini Sankaramurthy | Energy | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. S. Padmini is an accomplished academic and researcher with a strong foundation in Electrical and Electronics Engineering, advanced training in Power Systems Engineering, and doctoral work centered on intelligent algorithms for hydrothermal scheduling, further strengthened by an ongoing postdoctoral fellowship in multidisciplinary AI applications. With extensive teaching and research experience in a premier institution, she has contributed significantly to curriculum development, research supervision, academic leadership, and large-scale institutional activities. Her scholarly output includes publications indexed in major databases, patents, major project proposals, international collaborations, and diverse technical contributions across intelligent systems, power systems optimization, energy economics, and AI-driven engineering solutions. She has delivered numerous courses, created substantial digital learning resources, and guided students at multiple academic levels. Her research has earned citations totalling 341, along with an h-index of 10 and an i10-index of 10, demonstrating meaningful global impact. She is recognized for excellence through multiple awards, including distinguished scientific honours, innovation-driven recognitions, and accolades for academic contributions. Her ongoing collaborations across global universities reflect her commitment to advancing multidisciplinary research. Dr. Padmini’s work continues to integrate engineering intelligence, sustainable energy solutions, and advanced computational methods to support emerging technological needs and societal progress.

Profiles: Google Scholar | Orcid | Scopus

Featured Publication

Jeevadason, A. W., Padmini, S., Bharatiraja, C., & Kabeel, A. E. (2022). A review on diverse combinations and Energy-Exergy-Economics (3E) of hybrid solar still desalination. Desalination, 527, 115587.

Rebecca, B., Kumar, K. P. M., Padmini, S., Srivastava, B. K., Halder, S., & Boopathi, S. (2024). Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 348–373).

Venkatesh, B., Sankaramurthy, P., Chokkalingam, B., & Mihet-Popa, L. (2022). Managing the demand in a micro grid based on load shifting with controllable devices using hybrid WFS2ACSO technique. Energies, 15(3), 790.

Lakshmi, K., Amaran, S., Subbulakshmi, G., Padmini, S., Joshi, G. P., & Cho, W. (2025). Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images. Scientific Reports, 15(1), 690.

Sankaramurthy, P., Chokkalingam, B., Padmanaban, S., Leonowicz, Z., … Padmini, S. (2019). Rescheduling of generators with pumped hydro storage units to relieve congestion incorporating flower pollination optimization. Energies, 12(8), 1477.

Priyanka Upadhyay | Robust Navigation | Best Researcher Award

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Ms. Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Netaji Subhas University of Technology | India

Priyanka Upadhyay is a researcher in Electrical Engineering with growing contributions in autonomous robotics, intelligent navigation, and control systems. She is pursuing a doctoral degree focused on robust navigation of autonomous robots and holds postgraduate and undergraduate qualifications in Electrical Power Systems and Electrical & Electronics Engineering. Her research record includes publications on hybrid path-planning algorithms, enhanced Bezier-based trajectory modeling, autonomous mobile robot navigation, and control strategies for multi-link manipulators. Her work has gained academic attention, reflected in 16 citations, an h-index of 2, and i10-index of 0, demonstrating steadily increasing scholarly visibility with 8 citations since 2020. She has prior teaching experience as a faculty member in Electrical Engineering and has participated in several conferences, faculty development programs, and short-term courses related to artificial intelligence, optimization, robotics, renewable integration, and power electronics. Her technical expertise is strengthened by hands-on training in tools such as MATLAB and experience in industrial settings. She has earned recognition including a Silver Medal for an NPTEL Robotics certification and reviewer certification from an international robotics journal. Her research interests include electrical machines, robotic navigation, path planning, and intelligent control. She continues to advance her academic profile with a commitment to innovation, learning, and collaborative research.

Profile: Google Scholar

Featured Publications

Upadhyay, P., Rajesh, N., Garg, N., & Singh, A. (2015). Evaluating seed germination monitoring system by application of wireless sensor networks: A survey. In Computational Intelligence in Data Mining—Volume 2: Proceedings of the … (Cited by: 3).

Upadhyay, P., Singh, A., & Garg, N. (2014). Modeling software maintainability and quality assurance in the agile environment. International Journal of Database Theory and Application, 7(3), 83–90. (Cited by: 3).

Singh, P., Upadhyay, P., & Singh, S. K. (2025). Unlocking the economic potential of potato cultivars for mini-tuber production under aeroponic culture. Potato Research, 1–24. (Cited by: 2).

Upadhyay, P., Singh, R., & Rani, A. (2023). Reliable autonomous navigation of mobile robot in unconstrained environment. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 531–537). IEEE. (Cited by: 2).

Upadhyay, P., Patil, K. U., Kuber, R., Kulkarni, V., & Singh, A. (2014). Evaluation of hypoxic-ischaemic events in preterm neonates using trans cranial ultrasound. International Journal of Healthcare and Biomedical Research, 3, 67–72. (Cited by: 2).

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.

Aritra Acharyya | Engineering | Best Researcher Award

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Dr. Aritra Acharyya | Engineering | Best Researcher Award

Kalyani Government Engineering College | India

Dr. Aritra Acharyya is a distinguished researcher in Electronics and Communication Engineering, recognized for impactful contributions to millimeter-wave and terahertz solid-state devices. He holds advanced degrees in Radio Physics and Electronics, with top academic rankings, followed by extensive experience as an Assistant Professor in government engineering institutions where he has led academic, research, and national-level satellite-based learning initiatives. His research specializes in IMPATT diodes, optical control of high-frequency semiconductor devices, graphene nanoribbon transport phenomena, RF and microwave engineering, UV sensor modeling, and applied signal and image processing. He has authored numerous research documents, accumulating an h-index of 9, over 350 citations, and more than 45 indexed publications, reflecting his steady contribution to high-impact scientific literature. Dr. Acharyya has coordinated multiple national programmes in collaboration with space and remote sensing agencies and completed a wide range of advanced faculty development programmes in microelectronics, antenna systems, GNSS, VLSI, AI, and quantum technologies. His achievements include prestigious academic and professional awards from leading scientific bodies, along with recognition for excellence in scholarly publications and technical education. His work continues to strengthen innovation in high-frequency semiconductor device engineering and inspire emerging researchers in advanced communication technologies.

Profile: Google Scholar | Orcid

Featured Publications

Acharyya, A., & Banerjee, J. P. (n.d.). Prospects of IMPATT devices based on wide bandgap semiconductors as potential terahertz sources. Applied Nanoscience, 4(1), 1–14.

Acharyya, A., & Banerjee, J. P. (n.d.). Potentiality of IMPATT devices as terahertz source: An avalanche response time-based approach to determine the upper cut-off frequency limits. IETE Journal of Research, 59(2), 118–127.

Biswas, A., Sinha, S., Acharyya, A., Banerjee, A., Pal, S., Satoh, H., & Inokawa, H. (n.d.). 1.0 THz GaN IMPATT source: Effect of parasitic series resistance. Journal of Infrared, Millimeter, and Terahertz Waves, 39(10), 954–974.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Effect of junction temperature on the large-signal properties of a 94 GHz silicon based double-drift region impact avalanche transit time device. Journal of Semiconductors, 34(2), 024001.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Influence of skin effect on the series resistance of millimeter-wave IMPATT devices. Journal of Computational Electronics, 12(3), 511–525.

Suganthi D | Engineering | Best Researcher Award

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Prof. Suganthi D | Engineering | Best Researcher Award

Vellore Institute of Technology | India

Dr. D. Suganthi is a dedicated researcher and academic professional in Electrical Engineering, currently serving as a Research Associate and pursuing her Ph.D. at VIT, Chennai. She holds a Bachelor’s degree in Electrical and Electronics Engineering from Sri Sairam Engineering College and a Master’s degree in Power Systems Engineering from the College of Engineering, Guindy, Anna University. Her research focuses on advanced power system technologies, including microgrid systems, transactive energy, demand response, peer-to-peer trading, vehicle-to-grid (V2G), grid-to-vehicle (G2V), and smart grid applications. She has contributed to several high-impact publications, including research on optimizing campus microgrid energy systems and smart home energy scheduling. Her work integrates economic, environmental, and sensitivity insights into energy management, enhancing the sustainability of distributed generation systems. Dr. Suganthi’s research has received 156 citations, with an h-index of 6 and an i10-index of 4, reflecting her growing influence in the field. She has also co-authored multiple book chapters in reputed international publications. Her academic journey reflects a strong commitment to advancing clean and intelligent energy systems through innovative solutions and collaborative research, contributing significantly to the global transition toward sustainable energy technologies.

Profile: Orcid

Featured Publications

Suganthi, D., & Jamuna, K. (2025). Optimizing campus microgrid energy systems: Economic, environmental, and sensitivity insights. Energy Conversion and Management: X. https://doi.org/10.1016/j.ecmx.2025.101046

Jamuna, K., Suganthi, D., & Angalaeswari, S. (2022). Energy economic appliances’ scheduling for smart home environment. In Smart Buildings Digitalization: Case Studies on Data Centers and Automation (pp. [pages if available]). CRC Press. https://doi.org/10.1201/9781003240853-9

Suganthi, D., & Jamuna, K. (2021). Charging and discharging characterization of a community electric vehicle batteries. In Smart Buildings Digitalization (pp. [pages if available]). CRC Press. https://doi.org/10.1007/978-981-16-0719-6_17

Major Singh Goraya | Computer Science | Best Researcher Award

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Prof. Major Singh Goraya | Computer Science | Best Researcher Award

Sant Longowal Institute of Engineering and Technology | India

Dr. Major Singh Goraya is a Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Longowal. He holds a Ph.D. from Punjabi University, complemented by strong academic foundations in computer engineering. His primary research areas include cloud computing, resource management, green computing, fault tolerance, and load balancing. With 27 Scopus-indexed publications, 460 citations across 399 documents, and an h-index of 10, Dr. Goraya has made consistent scholarly contributions to high-performance and sustainable computing. His studies have explored dynamic resource allocation, energy-efficient scheduling frameworks, and deep learning-based optimization techniques. He has supervised several Ph.D. and M.Tech. research scholars and continues to guide emerging researchers in cloud resource efficiency and intelligent computation. His international exposure through conferences in the UK, Canada, and Malaysia reflects his active engagement in global research forums. In addition, he has successfully organized numerous academic workshops, conferences, and training programs. Dr. Goraya’s innovative contributions strengthen the integration of artificial intelligence and cloud technology, promoting scalable and eco-efficient computational solutions that advance modern computer engineering research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Goyal, N., Singh, T., & Goraya, M. S. (2025). Deep convolutional neural networks vs. vision transformers for video-based human activity recognition. In Proceedings of Lecture Notes in Computer Science (pp. xx–xx). Springer.

Singh, J., & Goraya, M. S. (2023). An autonomous multi-agent framework using quality of service to prevent service level agreement violations in cloud environment. International Journal of Advanced Computer Science and Applications, 14(3).

Goyal, N., Goraya, M. S., & Singh, T. (2023). An axiomatic analysis for object detection and recognition using deep learning. In Smart Innovation, Systems and Technologies (pp. xx–xx). Springer.

Thakur, A., & Goraya, M. S. (2022). A workload and machine categorization-based resource allocation framework for load balancing and balanced resource utilization in the cloud. International Journal of Grid and High Performance Computing, 14(2).

Hasan, M., Goraya, M. S., & Garg, T. (2022). E-FFTF: An extended framework for flexible fault tolerance in cloud. In Lecture Notes in Networks and Systems (pp. xx–xx). Springer.

Prasanth Kumar Enaganti | Engineering | Young Researcher Award

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Assist. Prof. Dr. Prasanth Kumar Enaganti | Engineering | Young Researcher Award

Manipal Institute of Technology | India

Dr. Enaganti Prasanth Kumar is an accomplished researcher and academician in the fields of solar photovoltaics, renewable energy, nanoelectronics, and materials science engineering. He is currently serving as an Assistant Professor in the Department of Electrical and Electronics Engineering at Manipal Institute of Technology (MIT), MAHE, Manipal. His research focuses on the characterization of solar cells, underwater photovoltaics, printed electronics, and nanomaterial-based supercapacitors. With significant contributions to projects funded by DRDO, the U.S. Department of Energy, and KAUST, Dr. Kumar has demonstrated exceptional expertise in advanced solar energy technologies, photonic curing processes, and laser-assisted material fabrication. He has published numerous high-impact research papers in leading journals such as Progress in Photovoltaics, Energy, Solar Energy, and IEEE Sensors Journal. His Google Scholar profile reports over 540 citations, an h-index of 14, and an i10-index of 18, reflecting his growing research influence. He holds a Ph.D. in Electrical and Electronics Engineering from BITS Pilani, along with M.Tech and B.E. degrees in renewable and electrical engineering, respectively. Dr. Kumar has received recognition for excellence in research and continues to contribute to interdisciplinary advancements in sustainable and smart energy systems.

Profiles: Google Scholar | Scopus

Featured Publications

Enaganti, P. K., Bhattacharjee, A., Ghosh, A., Chanchangi, Y. N., Chakraborty, C., & Goel, S. (2022). Experimental investigations for dust build-up on low-iron glass exterior and its effects on the performance of solar PV systems. Energy, 239, 122213.

Kulkarni, M. B., Enaganti, P. K., Amreen, K., & Goel, S. (2020). Internet of Things enabled portable thermal management system with microfluidic platform to synthesize MnO₂ nanoparticles for electrochemical sensing. Nanotechnology, 31(42), 425504.

Enaganti, P. K., Dwivedi, P. K., Srivastava, A. K., & Goel, S. (2020). Study of solar irradiance and performance analysis of submerged monocrystalline and polycrystalline solar cells. Progress in Photovoltaics: Research and Applications, 28(7), 725–735.

Rewatkar, P., Enaganti, P. K., Rishi, M., Mukhopadhyay, S. C., & Goel, S. (2021). Single-step inkjet-printed paper-origami arrayed air-breathing microfluidic microbial fuel cell and its validation. International Journal of Hydrogen Energy, 46(71), 35408–35419.

Enaganti, P. K., Dwivedi, P. K., Sudha, R., Srivastava, A. K., & Goel, S. (2019). Underwater characterization and monitoring of amorphous and monocrystalline solar cells in diverse water settings. IEEE Sensors Journal, 20(5), 2730–2737. https://doi.org/10.1109/JSEN.2019.2952428.

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.