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.

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

Abhijeet Das | Engineering | Research Discovery Award

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Dr. Abhijeet Das | Toxicology | Research Discovery Award

C.V. Raman Global University (CGU), Bhubaneswar, Odisha | India

Dr. Abhijeet Das is a dedicated researcher and professional in the field of civil engineering with specialization in water resources engineering. He has gained extensive expertise in watershed hydrology, water quality management, and hydrological modeling through research, teaching, consultancy, and collaborative international projects. His work integrates advanced engineering techniques with geoinformatics, machine learning, and simulation-optimization modeling for sustainable resource management. With multiple patents, international collaborations, and numerous best paper awards, he has established himself as a promising contributor to innovative solutions in water resource engineering, climate change impact studies, and sustainable development practices.

Professional Profiles

Scopus | Orcid

Education

Dr. Abhijeet Das pursued his academic journey with a strong foundation in civil engineering and advanced specialization in water resources engineering. He earned his doctoral degree in water resource engineering from C.V. Raman Global University, Bhubaneswar. Before that, he completed his master’s degree in water resource engineering from Biju Patnaik University of Technology, Rourkela, after attaining a bachelor’s degree in civil engineering from the same university. His academic path was complemented by schooling at reputed institutions, where he developed a keen interest in engineering sciences. This strong educational background laid the groundwork for his research on hydrology, geoinformatics, and sustainable water management.

Professional Experience

Dr. Abhijeet Das has a decade of professional experience spanning teaching, consultancy, and research. He served as a faculty member at leading engineering institutions, guiding students and contributing to academic growth. His consultancy work involved projects with design and engineering firms, focusing on water resource planning and GIS-based solutions. He has also worked internationally as a project assistant, GIS consultant, and researcher in collaborative projects with institutions across Tunisia, the USA, Oman, the UK, South Africa, Syria, and Lebanon. His professional journey reflects a balance of academic leadership, technical expertise, and practical application in civil and environmental engineering.

Awards and Recognition

Dr. Abhijeet Das has received several prestigious awards for his contributions to civil and water resource engineering. His research papers have consistently been recognized with best paper awards at international and national conferences across diverse engineering and sustainability themes. These accolades highlight his innovative approaches in surface water quality assessment, hydrological modeling, geospatial applications, and decision-making techniques for water management. He has also been honored for poster presentations at academic seminars, reflecting his ability to present complex research in impactful ways. His recognition underscores his growing influence as a researcher committed to advancing sustainable engineering solutions.

Research Skills

Dr. Abhijeet Das possesses extensive research skills that bridge engineering principles with modern computational and geospatial techniques. His expertise includes watershed hydrology, hydrological modeling, and the application of machine learning for environmental studies. He is proficient in using remote sensing and GIS for water quality assessment, numerical modeling, and simulation-optimization approaches. His work also extends to climate change impact assessment, water quality control, environmental impact studies, and application of artificial neural networks and fuzzy logic in water resource management. These skills enable him to develop innovative, data-driven solutions to global challenges in water sustainability and resource management.

Notable Publications

An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance
Author: Dr. Abhijeet Das
Journal: Discover Environment
Year: 2025

Reimagining biofiltration for sustainable industrial wastewater treatment
Author: Dr. Abhijeet Das
Journal: [Not specified]
Year: 2025

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India
Author: Dr. Abhijeet Das
Journal: Discover Sustainability
Year: 2025

Conclusion

Dr. Abhijeet Das’s academic achievements, professional experiences, and research expertise collectively position him as a dedicated contributor to civil and water resource engineering. Through his collaborative projects, patents, and scholarly publications, he has demonstrated a commitment to addressing critical issues such as water quality, sustainability, and climate change impacts. His career reflects a blend of academic excellence, technical innovation, and global engagement. With a strong foundation in civil engineering and an expansive vision for sustainable water resource management, he continues to contribute meaningfully to the field and inspire future researchers and engineers.

Krishnakumar S | Engineering | Best Researcher Award

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Mr. Krishnakumar S | Engineering | Best Researcher Award

Sri Ramakrishna Engineering College, Coimbatore | India

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

Professional Profiles

Orcid | Google Scholar

Education

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

Professional Experience

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

Awards and Recognition

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

Research Skills

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

Notable Publications

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

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

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

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

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

Conclusion

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

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

Ravi Gandhi | Engineering | Best Research Article Award

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Dr. Ravi Gandhi | Engineering | Best Research Article Award

Ajeenkya D Y Patil University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Ravi Gandhi embarked on his academic journey with a strong foundation in engineering sciences, earning his Bachelor’s degree in Engineering from a reputed institution. Demonstrating a keen interest in advancing technology, he pursued Master’s and Ph.D. degrees in Engineering, specializing in areas that blend theoretical knowledge with practical applications. His early academic years were marked by exemplary performance, research involvement, and participation in international workshops and conferences, laying a solid groundwork for his future endeavors.

🏢 PROFESSIONAL ENDEAVORS

Dr. Gandhi’s professional career spans over several years in academia and industry. He has held key positions such as Associate Professor, Research Scientist, and Project Lead in top engineering institutions and technology firms. His expertise in project management, technology innovation, and teaching has been pivotal in driving several successful projects related to advanced engineering systems and smart infrastructure. Additionally, Dr. Gandhi has served as a consultant for multinational corporations, providing strategic insights into engineering design and optimization.

📚 CONTRIBUTIONS AND RESEARCH FOCUS 

Dr. Gandhi’s research contributions are substantial in fields such as renewable energy systems, intelligent control systems, and materials engineering. His work involves the development of novel algorithms, simulation models, and prototype devices to address complex engineering challenges. He has published extensively in peer-reviewed international journals and conferences, advancing knowledge in sustainable engineering and automation technologies. His research focus aligns with global priorities including energy efficiency, environmental sustainability, and smart technologies.

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

Dr. Gandhi has been the recipient of numerous prestigious awards, including best research paper awards, teaching excellence honors, and fellowships from leading engineering societies. His work has been recognized at national and international levels, and he frequently serves as a keynote speaker, session chair, and reviewer for top-tier journals and conferences. His academic citations reflect his sustained contribution and influence in the engineering domain.

🌍 IMPACT AND INFLUENCE

Dr. Gandhi’s research has had a profound impact on both academic communities and industry practices. His innovative solutions have been widely cited by researchers worldwide, influencing subsequent studies and technological advancements. He has played a vital role in international collaborations, policy advisory boards, and technical committees, contributing to shaping the future of engineering education and practice. Moreover, his mentorship has cultivated a new generation of engineers and researchers who continue to propagate his vision.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gandhi’s legacy is built on a rich portfolio of high-impact research, patents, and trained professionals who continue to push the boundaries of engineering. Looking ahead, he aims to expand his work in emerging technologies such as AI-integrated engineering systems, sustainable smart cities, and next-generation materials. His commitment to interdisciplinary research and global partnerships ensures his continued influence and contributions toward solving future engineering challenges.

 ✅CONCLUSION

Dr. Ravi Gandhi exemplifies the synergy of academic excellence, innovative research, and professional leadership in engineering. His career reflects a dedication to advancing technology for societal benefit, mentoring future leaders, and fostering sustainable development. His ongoing work promises to contribute significantly to the evolution of engineering sciences and the creation of a more sustainable and intelligent world.

 🔬NOTABLE PUBLICATION:

Title: Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data
Authors: L San Román, BK Menon, J Blasco, M Hernández-Pérez, A Dávalos, …
Journal: The Lancet Neurology
Year: 2018

Title: Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis …
Authors: BCV Campbell, CBLM Majoie, GW Albers, BK Menon, N Yassi, G Sharma, …
Journal: The Lancet Neurology
Year: 2019

Title: Effect of general anaesthesia on functional outcome in patients with anterior circulation ischaemic stroke having endovascular thrombectomy versus standard care: a meta …
Authors: BCV Campbell, WH Van Zwam, M Goyal, BK Menon, DWJ Dippel, …
Journal: The Lancet Neurology
Year: 2018

Title: Hybrid extended state observer based control for systems with matched and mismatched disturbances
Authors: RV Gandhi, DM Adhyaru
Journal: ISA Transactions
Year: 2020

Title: Feedback linearization based optimal controller design for electromagnetic levitation system
Authors: RV Gandhi, DM Adhyaru
Journal: Control, Instrumentation, Communication and Computational Technologies …
Year: 2017