Balamurugan C R | Engineering | Best Researcher Award

Dr. Balamurugan C R | Engineering | Best Researcher Award

Er.Perumal Manimekalai College of Engineering, India

Dr. C. R. Balamurugan is a distinguished academician and researcher in Electrical and Electronics Engineering, specializing in power electronics and industrial drives. He holds doctoral and postgraduate qualifications along with management expertise. With extensive experience in teaching, research, and academic leadership, he has served as Professor and Head in reputed engineering institutions. His research focuses on multilevel inverters and advanced power systems. He has received several prestigious awards for excellence in research, teaching, and administration, reflecting his significant contributions to engineering education and innovation.

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470

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Featured Publications


A Review on Modulation Strategies of Multi Level Inverter


Indonesian Journal of Electrical Engineering and Computer Science (Cited by 39)


Three Area Power System Load Frequency Control Using Fuzzy Logic Controller


International Journal of Applied Power Engineering (Cited by 31)


Development of Raspberry Pi and IoT Based Monitoring and Controlling Devices for Agriculture


Journal of Social, Technological and Environmental Science (Cited by 30)


Investigations on Three Phase Five Level Diode Clamped Multilevel Inverter


International Journal of Modern Engineering Research (Cited by 25)

Vrushali Kamalakar | Engineering | Women Researcher Award

Mrs. Vrushali Kamalakar | Engineering | Women Researcher Award

Matrusri Engineering College, India

Mrs. Vrushali Kamalakar is an accomplished academic in Civil Engineering, specializing in Structural Engineering. She holds an MS by Research and a Bachelor’s degree with distinction. With extensive teaching and industry experience, she has delivered courses in structural analysis, sustainable construction, and green building technologies. Her research focuses on earthquake engineering, heritage structures, and AI applications in civil engineering. She has received NPTEL recognition, IGBC accreditation, and AICTE certification. Her contributions reflect a strong commitment to innovation, education, and sustainable engineering practices.

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Featured Publications

Deepak Mishra | Engineering | Research Excellence Award

Dr. Deepak Mishra | Engineering | Research Excellence Award

Indian Maritime University Kolkata, India

Dr. Deepak Mishra is a dedicated academic and researcher in Electrical Engineering, specializing in high voltage engineering and power systems. He holds advanced degrees from premier institutions and serves as an Assistant Professor, contributing extensively to teaching and research. His work focuses on transformer insulation diagnostics, dielectric behavior, and condition monitoring using advanced analytical techniques. He has published widely in reputed journals and earned recognition through prestigious awards and professional memberships. His contributions significantly advance reliable power system operation and innovation.

Citation Metrics (Google Scholar)

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405

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Featured Publications


Reduction of time domain insulation response measurement duration for fast and effective diagnosis of power transformer


IEEE Transactions on Dielectrics and Electrical Insulation (Cited by 30 · Year: 2018)

Muhamed Safeer Pandikkadavath | Engineering | Research Excellence Award

Dr. Muhamed Safeer Pandikkadavath | Engineering | Research Excellence Award

NIT Calicut | India

Muhamed Safeer Pandikkadavath is an Assistant Professor in Civil Engineering at a premier national institute, with advanced training in structural engineering from leading institutions. He has academic and research experience spanning teaching, funded research, and professional practice. His research focuses on seismic performance of steel and reinforced concrete structures, buckling-restrained braces, bridge vulnerability, and machine learning applications in earthquake engineering. He has received national-level competitive recognitions, research grants, and best paper awards, contributing significantly to resilient infrastructure development.

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297

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Featured Publications


Near-fault seismic vulnerability assessment of corrosion inflicted steel moment resisting frames


Journal of Constructional Steel Research · Article · Cited by 7

Citation counts may vary by indexing database; access depends on publisher policy.

Vivek Kumar | Engineering | Outstanding Contribution Award

Dr. Vivek Kumar | Engineering | Outstanding Contribution Award

IIT Delhi | India

Vivek Kumar is a distinguished researcher and Senior Project Scientist at a premier Indian Institute of Technology, specializing in mechanical engineering with a focus on computational solid mechanics, explicit dynamics, and impact and blast research. He holds advanced degrees in mechanical engineering and CAD/CAM, and his professional journey spans both academia and industry, contributing to experimental and computational studies on protective structures, composite and cellular materials, and high-strain-rate material behavior. His expertise includes developing high-fidelity finite element models, conducting experimental validations, and investigating ballistic and blast mitigation mechanisms. He has led projects on anti-mine footwear, UHMWPE composites, and sandwich structures, combining simulation with laboratory testing for enhanced safety solutions. His research interests encompass impact and blast mechanics, crashworthiness, injury biomechanics, explicit dynamics simulations, and protective systems for defense and human safety applications. Vivek has authored several influential publications in high-impact journals and presented his work at international conferences. He has also contributed to patentable innovations and guided young researchers in advanced simulation techniques. Recognized for his technical excellence and innovative contributions, he continues to advance the understanding of protective materials and structures, blending experimental insights with computational modeling to create resilient and efficient solutions in defense and engineering applications.

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Featured Publications


Effect of Curvature on Dynamic Response of Dyneema Composite Panel Under Extreme Loading: A Numerical Study


ASME Aerospace Structures, Structural Dynamics and Materials Conference · Con

Namrata Bist | Engineering | Best Researcher Award

Dr. Namrata Bist | Engineering | Best Researcher Award

Pandit Deendayal Energy University | India

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

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View Google Scholar Profile

Featured Publications

Sadananda Behera | Engineering | Best Researcher Award

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

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

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

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.