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).

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

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.

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.

Ms. Ritu Ranjan | Engineering | Best Research Award

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Ms. Ritu Ranjan | Engineering | Best Research Award

IIT ISM DHANBAD | India

Ms Ritu Ranjan is a dedicated electrical engineering researcher whose academic journey spans advanced degrees from premier Indian institutions, culminating in a PhD in control systems and sensor interfacing at IIT(ISM) Dhanbad. Her work centers on control techniques for bipedal robotic systems, specifically modeling and robust controller design, and extends into efficient analog and direct-digital interfacing schemes for magneto-resistance-based angle sensors. With several journal articles including contributions to Integration: the VLSI Journal, Measurement and Optical and Quantum Electronics, and multiple IEEE-indexed conference publications, she has developed expertise in sensor linearization, systematic error quantification, and optical biosensor modeling. Her research interest spans control theory, sensor hardware design, direct-digital interfacing, and FDTD-based photonic modeling. Though early in her career, she has begun accumulating citations and publications; her current h-index is modest, reflecting her growing scholarly impact. Awards and recognitions include funding and acceptance of her thesis work and top conference presentations. She brings strong experience in MATLAB, LTSpice, LaTeX, LabVIEW, embedded C, and hardware prototyping using Arduino/ESP32. Motivated by innovation in robotics and sensor systems, she seeks to contribute reliably to impactful research and engineering. Ritu’s trajectory indicates a promising future in sensor-control integration and robotic instrumentation.

Profiles: Scopus | Google Scholar | Orcid

Featured Publication

Shekhar, A., Ranjan, R., & Mandal, S. (2024). Model of double optical ring resonator configuration as a biosensor using FDTD numerical method. Optical and Quantum Electronics, 57(1), 35.

Ranjan, R., & Meena, G. D. (2022). PID and backstepping controller on a 2-link biped robot. In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) (pp. xx–xx). IEEE.

Ranjan, R., & Meena, G. D. (2022). Trajectory tracking of 3-link biped leg robot using PD controller and robust variable structure controller. In 2022 IEEE 19th India Council International Conference (INDICON) (pp. 1–6). IEEE.

Ranjan, R., & Mandal, S. (2025). Quantification methodologies of three systematic errors of sinusoidal encoders employing two magnitude-to-time-to-digital converter in static and dynamic conditions. Measurement, 253, 117361. Elsevier.

Ranjan, R., Shekhar, A., & Mandal, S. (2025). Development of a tunneling magneto-resistance sensor based orientation detection system for robotic manipulator. In 2025 6th International Conference on Recent Advances in Information Technology (RAIT) (pp. xx–xx). IEEE.

Gaurav Yadav | Engineering | Best Researcher Award

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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.

Kishore Debnath | Engineering | Best Researcher Award

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Dr. Kishore Debnath | Engineering | Best Researcher Award

Associate Professor, NIT Meghalaya, India

Dr. Kishore Debnath, Ph.D. from IIT Roorkee, is an Associate Professor in the Department of Mechanical Engineering at the National Institute of Technology Meghalaya, India. He is a dedicated academician and researcher with expertise spanning green composites, biodegradable fibers, polymers, and the mechanical behavior of materials. His professional journey reflects a commitment to advancing knowledge in materials engineering and contributing innovative solutions to real-world challenges. With a strong background in teaching and research, he continues to inspire students and fellow researchers while focusing on sustainable technologies and advanced manufacturing processes that shape modern mechanical engineering practices.

Professional Profile

Google Scholar | Orcid Profile | Scopus Profile

Education

Dr. Kishore Debnath pursued his doctoral degree (Ph.D.) in Mechanical Engineering from the prestigious Indian Institute of Technology Roorkee, where he developed expertise in advanced composite materials. Prior to this, he completed his foundational studies in mechanical engineering, building a solid academic base that later guided his research interests. His education emphasized both theoretical and applied aspects of mechanical design, materials, and manufacturing processes. This strong academic journey provided him with the technical knowledge, research exposure, and analytical skills required to make significant contributions in mechanical engineering, particularly in composite technology, machining behavior, and additive manufacturing.

Professional Experience

Dr. Kishore Debnath is currently serving as an Associate Professor in the Department of Mechanical Engineering at the National Institute of Technology Meghalaya. Over the years, he has been actively involved in teaching, research, and mentoring undergraduate and postgraduate students. His professional experience spans advanced research in composite materials, machining technologies, and sustainable engineering practices. He has contributed to developing innovative teaching methodologies, enhancing student learning outcomes, and strengthening industry-academia collaborations. His expertise in machining and materials engineering has guided numerous projects and publications, reflecting his significant role in both academic and applied engineering fields.

Awards and Recognition

Dr. Kishore Debnath has earned recognition for his contributions to the field of mechanical engineering through impactful research and academic achievements. His scholarly work in composite materials, biodegradable polymers, and machining processes has been acknowledged by peers and institutions. He has been invited to present his findings at various national and international conferences, reflecting his reputation in the academic community. His dedication to innovation and sustainability has positioned him as a valued researcher and educator. Through his research contributions and academic service, he continues to receive respect and acknowledgment from the scientific and engineering communities.

Research Skills

Dr. Kishore Debnath possesses extensive research skills in areas of composite materials, biodegradable fibers, polymers, and advanced manufacturing processes. His expertise includes studying mechanical behavior, wear and friction properties, and joining behavior of composite structures. He is skilled in designing and developing cutting tools, exploring machining behavior of diverse materials, and working with hybrid and micro-machining techniques. His research also extends to nondestructive testing and additive manufacturing of composites, highlighting his multidisciplinary approach. By combining theoretical insights with experimental validation, he contributes to the advancement of sustainable materials and manufacturing innovations in mechanical engineering.

Conclusion

Dr. Kishore Debnath has established himself as a prominent figure in mechanical engineering through his academic, research, and professional contributions. With a strong foundation in advanced materials and machining technologies, he continues to explore sustainable solutions for the future of manufacturing. His role as a mentor and researcher reflects his commitment to guiding young engineers while addressing contemporary challenges in materials science and engineering. Through his dedication to research excellence and knowledge dissemination, he remains an influential academician, contributing to both national and international advancements in the fields of composites, polymers, and mechanical systems.

Notable Publications

Surface Modification of CFRP Composite Using Reverse-EDM Method
Authors: R.M. Mazarbhuiya, H. Dutta, K. Debnath, M. Rahang
Year: 2020
Citations: 35

Experimental Analysis of Tensile and Compressive Failure Load in Single-Lap Bolted Joint of Green Composites
Authors: M.R. Choudhury, K. Debnath
Year: 2019
Citations: 33

Enhanced Micro-Electric Discharge Machining-Induced Surface Modification on Biomedical Ti-6Al-4V Alloy
Authors: R. Davis, A. Singh, K. Debnath, R.M. Sabino, K. Popat, P. Soares, A.K. Keshri, …
Year: 2022
Citations: 32

Experimental Investigation of Friction Stir Welding of PLA
Authors: A.K.R. Sharma, M. Roy Choudhury, K. Debnath
Year: 2020
Citations: 32

Anubhava Srivastava | Engineering | Best Researcher Award

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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