Sajja Tulasi Krishna | Computer Science | Research Excellence Award

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Dr. Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Koneru Lakshmaiah Education Foundation | India

Dr. Sajja Tulasi Krishna is a distinguished researcher and academician in Computer Science and Engineering, currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation. She has extensive teaching experience in areas including CI/CD, Cloud DevOps, Python Full Stack Development, MERN Stack Web Development, Deep Learning, and Data Structures. Dr. Krishna earned her Ph.D. in Computer Science and Engineering and holds advanced degrees in M.Tech and B.Tech, reflecting a strong academic foundation. Her research focuses on deep learning, machine learning, biomedical image processing, and intelligent systems, with contributions in multi-omics integration, lung cancer detection, COVID-19 diagnosis, and medicinal plant classification. She has published 18 research articles in SCIE, Scopus, and IEEE journals, achieving a total of 488 citations with an h-index of 5 and an i10-index of 5. Dr. Krishna has presented her work at multiple national and international conferences, serving as a reviewer for reputed journals and conferences. She has received multiple awards recognizing her excellence in teaching, research, and technical contributions, including Best Teacher, International Excellence, and Young Researcher Awards. With her expertise, she continues to advance innovative research while mentoring students and contributing to the academic community globally.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

Krishna, S. T., & Kalluri, H. K. (2019). Deep learning and transfer learning approaches for image classification. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 427–432.

Sajja, T. K., Devarapalli, R. M., & Kalluri, H. K. (2019). Lung cancer detection based on CT scan images by using deep transfer learning. Traitement du Signal, 36(4), 339–344.

Sajja, T. K., & Kalluri, H. K. (2020). A deep learning method for prediction of cardiovascular disease using convolutional neural network. Revue d’Intelligence Artificielle, 34(5), 601–606.

Sajja, T. K., & Kalluri, H. K. (2021). Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9423–9434.

Sajja, T. K., & Kalluri, H. K. (2019). Gender classification based on face images of local binary pattern using support vector machine and back propagation neural networks. Advances in Modelling and Analysis B, 62(1), 31–35.

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.

Tejinder Kaur | Computer Science | Best Researcher Award

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Dr. Tejinder Kaur | Computer Science | Best Researcher Award

MM Institute of Computer Technology & Business Management | India

Dr. Tejinder Kaur is an accomplished academic and researcher in Computer Science and Engineering, currently serving as an Associate Professor with extensive teaching and research experience in artificial intelligence, machine learning, big data, and software engineering. She holds a Ph.D. from Thapar University and an M.Tech from Chandigarh University, with postdoctoral research in progress from a reputed public university. Her work has earned significant scholarly recognition with over 54,815 citations, an h-index of 65, and an i10-index of 148, reflecting her impactful contributions to scientific research and innovation. Dr. Kaur has authored and reviewed numerous research papers and book chapters and has guided several postgraduate theses in areas like vehicular networks, routing protocols, and wireless sensor networks. Her research interests span artificial intelligence, IoT, cybersecurity, and advanced computing systems. She has published over 277 papers, filed and been granted multiple national and international patents, and received prestigious awards, including honors from IEEE, Infosys, and SAP. A committed educator and innovator, Dr. Kaur continues to inspire through academic excellence and research leadership. Her outstanding academic record, extensive publication portfolio, and technological innovations highlight her as a dynamic professional dedicated to advancing computing and intelligent systems.

Profiles: Google Scholar | Scopus

Featured Publications

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Observation of gravitational waves from a binary black hole merger. Physical Review Letters, 116(6), 061102. https://doi.org/10.1103/PhysRevLett.116.061102

Aasi, J., Abbott, B. P., Abbott, R., Abbott, T., Abernathy, M. R., Ackley, K., Adams, C., et al. (2015). Advanced LIGO. Classical and Quantum Gravity, 32(7), 074001. https://doi.org/10.1088/0264-9381/32/7/074001

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). GW151226: Observation of gravitational waves from a 22-solar-mass binary black hole coalescence. Physical Review Letters, 116(24), 241103. https://doi.org/10.1103/PhysRevLett.116.241103

Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., et al. (2023). GWTC-3: Compact binary coalescences observed by LIGO and Virgo during the second part of the third observing run. Physical Review X, 13(4), 041039. https://doi.org/10.1103/PhysRevX.13.041039

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Tests of general relativity with GW150914. Physical Review Letters, 116(22), 221101. https://doi.org/10.1103/PhysRevLett.116.221101

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