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.

Rita Patle | Agricultural Engineering | Research Excellence Award

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Dr. Rita Patle | Agricultural Engineering | Research Excellence Award

ICAR – Central Institute of Agricultural Engineering | India

Dr. Rita Patle is an agricultural engineer specializing in Farm Machinery and Power Engineering with advanced expertise in precision agriculture and automation. She earned her B.Tech in Agricultural Engineering and M.Tech in Farm Machinery & Power, followed by a Ph.D. focusing on the design of an autonomous site-specific variable rate fertilizer applicator. Over her career she has served as Assistant Professor, Senior Research Fellow, and Research Associate at leading agricultural-engineering institutes, and contributed to both teaching and R&D. Her research interests center on precision farming, sensor-based variable-rate fertilizer application, farm mechanization, and integration of AI and embedded systems for smart agriculture. She is recognized for her innovative contributions — she holds a design patent for an autonomous variable-rate fertilizer applicator, and has registered the software program controlling it. Her work has earned national-level awards and best-paper recognitions. Through peer-reviewed journal articles, technical bulletins and conference publications, she has helped advance sustainable mechanization in Indian agriculture. Her commitment to bridging academic research, practical engineering solutions and agricultural productivity underscores her goal to address real-world farming challenges and support agricultural growth for the nation.

Profile: Orcid

Featured Publications

Patle, R., Kavitha, R., Surendrakumar, A., Sahni, R. K., Suthakar, B., Kannan, B., & Maragatham, S. (2025). Development of a sensor-based embedded system for on-the-go variable-rate fertilizer applicator in maize crop. Results in Engineering, 28, 107852. https://doi.org/10.1016/j.rineng.2025.107852

Patle, R., Kavitha, R., Surendrakumar, A., Balaji, K., Maragatham, S., & Suthakar, B. (2023). Estimation of sensor-based site-specific variable rate fertilizer application for maize (Zea mays L.) crop. Journal of Applied and Natural Science, 15(3), 1109–1118. https://doi.org/10.31018/jans.v15i3.4724

Patle, R. (2024). Variable rate fertilizer applicator (Software registration No. SW-18483/2024).

Patle, R. (2023). Autonomous variable rate fertilizer applicator (Patent filed at The Patent Office, India).

Sivakamasundari | Computer Science | Best Researcher Award

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Ms. Sivakamasundari | Computer Science | Best Researcher Award

SRM Institute of Science and Technology | India

Ms. P. Sivakamasundari is a dedicated academic and researcher in Computer Science and Engineering, recognized for her contributions to deep learning-based medical image analysis. With qualifications spanning Diploma, Bachelor’s, and Master’s degrees in Computer Science and Engineering, she is currently pursuing her Ph.D. at SRM Institute of Science and Technology. She has extensive teaching experience as an Assistant Professor for more than a decade, during which she has guided students in core computing subjects including algorithms, computation theory, compiler design, and image classification. Her research focuses on advanced deep learning frameworks for healthcare applications, particularly diabetic retinopathy and diabetic foot ulcer detection, resulting in book chapters, conference publications, and journal manuscripts under review. She has published and filed patents related to medical imaging and automated disease detection systems, demonstrating her innovation-driven approach. Her scholarly presence includes 1 citation, 1 h-index, and 0 i10-index, indicating emerging research visibility. She has completed multiple professional certifications and participated in workshops, FDPs, and internships in machine learning, biometrics, accelerated computing, and high-performance healthcare analytics. Her work reflects strong commitment toward applying AI for societal benefit, and she continues to advance her expertise through active research and academic contributions.

Profile: Google Scholar

Featured Publications

Sivakamasundari, P., Anandhi, S., Kumaran, A. A., Vijayakumar, K., Birnica, Y. J., & others. (2024). Early detection of glaucoma utilizing retinal nerve fiber layer (RNFL) investigation. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2025). An automatic detection and classification of diabetic foot ulcers using Chebyshev chaotic ladybug beetle optimized extended Swin Transformer–InceptionV3 model. Biomedical Signal Processing and Control, 110, 108268.

Gomathi, G., Sumathy, V., Sivakamasundari, P., & Deepa, R. (2024). A various approaches of machine learning algorithms for kidney disease prediction. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2024). Diabetic foot ulcer classification using deep learning approach. International Conference on Computer, Communication and Signal Processing (ICCCSP).

Sivakamasundari, P., & Niranjana, G. (2023). A critique on deep learning methodologies employed for the identification of diabetic retinopathy using fundus images. Intelligent Computing and Control for Engineering and Business Systems (ICCEBS).

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.

Deepana Gopal | Engineering | Best Researcher Award

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Dr. Deepana Gopal | Engineering | Best Researcher Award

S.A.Engineering College | India

Dr. G. Deepana is a civil engineering researcher and academician with a strong contribution to structural and sustainable construction materials. She has earned her doctoral degree in Civil Engineering with prior specialization in Structural Engineering, and has consistently demonstrated academic excellence throughout her education. Her research profile reflects 11 citations, an h-index of 2, and several indexed publications across SCI and Scopus-listed journals. She has published impactful work in areas such as ferrocement composites, sustainable green concrete materials, construction waste utilization, and performance enhancement of structural elements. Her SCI publications include studies on ferrocement wall panel behavior and agro-waste reinforced composites, alongside multiple Scopus-indexed contributions exploring durability, material characterization, and sustainability in civil engineering. She has also presented her work at international and national conferences, contributing to global discussions on innovative construction materials. In addition to research, she has academic experience as an Assistant Professor, handling core civil engineering courses and laboratories, while guiding students in both theoretical and practical learning. Her research interests include concrete technology, strength of materials, ferrocement, structural durability, and sustainable infrastructure development. She aims to continue advancing environmentally responsible construction practices and contribute meaningfully to academic and engineering communities.

Profile: 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., & others. (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 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (pp. —). IEEE.

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

Kumar Rahul | Artificial Intelligence | Innovative Research Award

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Dr. Kumar Rahul | Artificial Intelligence | Innovative Research Award

NIFTEM | India

Dr. Kumar Rahul is an Assistant Professor in the Department of Interdisciplinary Sciences at the National Institute of Food Technology Entrepreneurship and Management (NIFTEM), Sonepat, combining his expertise in software engineering, big-data analytics and food-technology research. With a Ph.D. in Computer Science and Engineering focused on enhanced data cleaning and outlier-detection using hybrid meta-heuristics, and earlier degrees in software engineering (M.E.) and computer applications (BCA/MCA), his career spans roles in both academia and engineering. He has authored numerous peer-reviewed articles (including systematic reviews on big-data/AI, applications of AI and ML in food-industry and healthcare, hybrid meta-heuristic models, data-cleaning frameworks) and holds patents in sensor-network water-quality monitoring and deep–learning corner-detection algorithms. His Google Scholar h-index stands at 10 with over 500 citations, reflecting his growing research impact. His research interests include artificial intelligence and machine learning for food processing, big-data analytics and industrial systems, IoT/Edge–Fog–Cloud applications, and optimization/meta-heuristic techniques for outlier or anomaly detection. He has also contributed to applied projects such as mobile-app development for fruit-freshness checking and served as Co-PI on a funded initiative in the food-technology domain. His work has been recognised through awards including UGC-NET (LS) and strong GATE performance, and he actively participates in faculty development programs and serves as a resource-person on topics such as IoT in industries and agri-startups. In summary, Dr. Rahul brings a multidisciplinary blend of computer-science rigor and domain-specific application in food-technology, making him a valuable contributor to research and education in smart food systems and analytics.

Profile: Scopus

Featured Publications

Rahul, K., & Banyal, R. K. (Erratum). Retraction Note: Firefly algorithm: an optimization solution in big data processing for the healthcare and engineering sector [Retraction note]. International Journal of Speech Technology, 24(3), 581–592. https://doi.org/10.1007/s10772-020-09783-y

Rahul, K., Arora, N., & Arora, S. (2025). Effectiveness of blockchain and IoT in horticulture crop supply chain. In B. Sharma, D.-T. Do, S. N. Sur, & C.-M. Liu (Eds.), Advances in Communication, Devices and Networking. Springer Nature.

Banaja Mohanty | Energy | Best Researcher Award

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Assoc. Prof. Dr. Banaja Mohanty | Energy | Best Researcher Award

Veer Surendra Sai University of Technology | India

Dr. Banaja Mohanty is an accomplished Associate Professor at Veer Surendra Sai University of Technology (VSSUT), Burla, with a strong academic and research foundation in engineering and technology. With 47 published documents and 1,638 citations received from 1,270 referenced works, she has achieved an impressive h-index of 17, reflecting her consistent research impact in her field. Her scholarly contributions encompass areas such as renewable energy systems, power electronics, and smart grid technologies, with a particular focus on sustainable and efficient energy solutions. Dr. Mohanty has guided several research projects and collaborated with industry and academic partners to promote innovation-driven learning. She has contributed to leading SCI and Scopus-indexed journals, participated in national and international conferences, and has served as a reviewer and editorial board member for reputed journals. Her active involvement in academic development and mentoring young researchers has strengthened the research culture within her institution. Dr. Mohanty’s achievements are marked by her dedication to scientific excellence, innovation, and knowledge dissemination. Her continued commitment to advancing research in emerging technologies underscores her reputation as a distinguished academic and researcher, contributing significantly to the scientific community.

Profiles: Google Scholar | Scopus

Featured Publications

Mohanty, B., Panda, S., & Hota, P. K. (2014). Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. International Journal of Electrical Power & Energy Systems, 54, 77–85.

Panda, S., Mohanty, B., & Hota, P. K. (2013). Hybrid BFOA–PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems. Applied Soft Computing, 13(12), 4718–4730.

Mohanty, B., Panda, S., & Hota, P. K. (2014). Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Engineering Journal, 53(3), 537–552.

Hota, P. K., & Mohanty, B. (2016). Automatic generation control of multi source power generation under deregulated environment. International Journal of Electrical Power & Energy Systems, 75, 205–214.

Mohanty, B., & Tripathy, S. (2016). A teaching learning based optimization technique for optimal location and size of DG in distribution network. Journal of Electrical Systems and Information Technology, 3(1), 33–44.

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

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.

Gaurav Yadav | Engineering | Best Researcher Award

Published-on by Indian Scientist

Gaurav Yadav | Engineering | Best Researcher Award

SRM University | India

Gaurav Yadav is an academic and researcher specializing in Electrical and Electronics Engineering, with expertise in power electronics, electric vehicle technologies, and grid-interactive systems. Currently serving as an Assistant Professor at SRM University, Sonipat, he has contributed to advancing electric vehicle charging infrastructure and real-time control systems. His research integrates advanced control strategies, AI-driven solutions, and innovative hardware design to enhance system efficiency and reliability. With numerous publications in reputed journals and conferences, he actively engages in workshops, seminars, and collaborative projects, fostering innovation in sustainable energy systems and modern electrical engineering applications.

Professional Profiles

Scopus | Orcid 

Education

Gaurav Yadav holds a Ph.D. in Power Electronics from Delhi Technological University, where his research focused on the design and development of grid-interactive electric vehicle chargers. He earned his M.Tech in Power System Engineering and a B.Tech in Electrical Engineering from Integral University. His academic journey built a strong foundation in power electronics, renewable energy integration, and control systems. He has undertaken specialized training in electric vehicle infrastructure, converter design, and advanced control methods, complemented by exposure to cutting-edge simulation tools and real-time implementation platforms, equipping him with the skills to bridge theoretical concepts with practical applications.

Professional Experience

Gaurav Yadav is currently an Assistant Professor in the Electrical and Electronics Engineering Department at SRM University, Sonipat. He has been actively engaged in teaching, research, and mentoring, focusing on power electronics, electric vehicle charging systems, and renewable energy integration. His professional work includes developing control algorithms, conducting hardware-in-the-loop simulations, and implementing real-time testing for advanced converters. He has collaborated with industry and academic partners on projects involving electric mobility, smart grid systems, and high-efficiency energy conversion technologies. Through workshops, seminars, and consultancy, he has contributed to both academic enrichment and practical advancements in his field.

Awards and Recognition

Gaurav Yadav has received recognition for his impactful research in electric vehicle charging systems and power electronics through publications in high-impact international journals and conference proceedings. His work has been published in reputed Q1 and Q2 journals, reflecting its academic significance and technical innovation. He has been invited to present his research at prestigious national and international conferences, earning appreciation from peers and experts. His participation in government-sponsored workshops and collaborative initiatives further highlights his contributions to emerging technologies in sustainable energy systems, power quality improvement, and advanced control strategies for electric mobility applications.

Research Skills

Gaurav Yadav possesses expertise in power electronics, electric vehicle charging systems, and grid-interactive converters, with strong skills in advanced control strategies, AI-based optimization, and real-time hardware implementation. He is proficient in MATLAB/Simulink, PLECS, PSIM, and LabVIEW, along with hardware platforms such as dSPACE, OPAL-RT, and TI DSP processors. His research integrates AI/ML techniques for power quality enhancement, adaptive filtering, and fault-tolerant designs. Skilled in PCB design using Altium and EasyEDA, he has developed and tested innovative converter topologies, integrating renewable energy systems with electric mobility solutions for improved efficiency, stability, and adaptability under varying operating conditions.

Notable Publications

Stabilizing DC bus voltage using CEEMDAN-XGBoost based adaptive filtering technique in EV chargers
Author: Gaurav Yadav; Poonam Dhaka
Journal: Computers and Electrical Engineering
Year: 2025

Enhancing power quality and stability in grid-interactive electric vehicle chargers using advanced control strategies and disturbance compensation
Author: Gaurav Yadav
Journal: Engineering Research Express
Year: 2025

Optimizing Power Quality in EV Chargers Using Advanced Quadrature Signal Generators and AI‐Driven Adaptive Filtering
Author: Gaurav Yadav; Mukhtiar Singh
Journal: International Journal of Circuit Theory and Applications
Year: 2025

CNISOGI and LLMF Based Controller Design for Grid-Interactive EV Chargers in Wide Voltage Range Scenarios
Author: Gaurav Yadav; Mukhtiar Singh
Journal: 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
Year: 2024

Conclusion

Gaurav Yadav is a dedicated academic, researcher, and innovator in the domain of electrical engineering, with a focus on advancing sustainable and intelligent energy systems. His multidisciplinary expertise bridges theoretical modeling, simulation, hardware development, and AI integration for real-world applications. Through his academic role, research contributions, and participation in technical forums, he continues to drive progress in electric vehicle technologies, grid integration, and renewable energy systems. Committed to fostering innovation, he aims to develop impactful solutions addressing modern power system challenges, contributing to the global transition towards cleaner, smarter, and more efficient energy infrastructures.