Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

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Assist. Prof. Dr. Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

College of Engineering Kidangoor | India

Dr. Prasoon Prasenan P is a distinguished civil engineer and academician with a strong portfolio in structural engineering, project management, and infrastructure consultancy. He holds advanced qualifications in civil engineering, structural engineering, and project management, supported by extensive teaching experience and long-standing professional practice. His research contributions encompass structural behavior, sustainable construction materials, and innovative engineering techniques, reflected through published papers, patents, and technical projects, with a citation count of 6, an h-index of 1, an i10-index of 0, and documented scholarly outputs indexed in leading scientific databases. He has authored and co-authored valuable academic resources, including a notable book on construction materials and techniques, and has delivered expert lectures to large academic and professional communities. His professional footprint includes consultancy services for multiple government departments, focusing on infrastructure development, water systems, land management, and public works. His achievements include several patents at national and international levels, demonstrating his commitment to innovation in engineering solutions. He is an active member of prestigious professional bodies that support advancements in technical education and engineering practice. His ongoing interests lie in structural design, construction technology, sustainable engineering, and applied research, continuing to contribute to academic excellence and engineering development.

Profile: Google Scholar

Featured Publications

Prasoon, P. P., & Kumar, M. R. (2022). Basalt fibre reinforced polymer for strengthening of self-compacting concrete compression member. Civil Engineering and Architecture, 10(3), 830–835.

Prasoon, P. P., & Kumar, M. R. (2020). Durability properties of self-compacting concrete incorporating recycled high-density polyethylene plastics. International Journal of Advanced Research in Engineering & Technology, 11(11).

Prasoon, P. P., Kumar, M. S. R., & Vaisakh, G. (2018). Experimental investigation on effect of partial replacement of coarse aggregate by plastic aggregate on M40 grade self-compacting concrete. International Journal of Civil Engineering and Technology, 9(6), 964–970.

Ananth, T., Prasoon, M. P. P., Vijayakumar, M. C., & Das, K. M. (n.d.). Partial replacement of cement with sugar cane bagasse ash and hybrid fibers.

Amar Deep Maurya | Civil Engineering | Research Excellence Award

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Mr. Amar Deep Maurya | Civil Engineering | Research Excellence Award

Rajkiya Engineering College Mainpuri | India

Amar Deep Maurya is a researcher in civil engineering with contributions in sustainable construction materials, structural optimization, and innovative testing methods. His academic background includes a bachelor’s degree in civil engineering with strong engagement in interdisciplinary learning across environmental sciences and digital design tools. He has gained practical experience through engineering internships focused on road estimation, planning, sustainability, and environmental assessment. His research centers on waste-derived construction materials, particularly the statistical modeling and optimization of waste-glass-based paver blocks using Response Surface Methodology, which demonstrated marked improvements in strength and durability while reducing environmental impact. He has also contributed to the development of advanced mortar testing methods and has completed multiple design-based projects in AutoCAD and 3D modeling. His scholarly output includes research and review articles with measurable impact metrics such as h-index, citation count, and document contributions as reflected through academic indexing platforms. His publications explore areas including sustainable paver blocks, RSM-based prediction models, and self-healing concrete. Recognized for academic excellence, he secured a technical poster award and additional certifications enhancing his professional competence. Overall, his work reflects a commitment to sustainable engineering innovations and practical solutions for future-ready civil infrastructure.

Profile: Scopus

Featured Publication

Statistical modeling and optimization of waste glass-based paver block properties. (2025). Next Materials.

Archana Mohan | Electronics Engineering | Research Excellence Award

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Mrs. Archana Mohan | Electronics Engineering | Research Excellence Award

Amrita Vishwa Vidyapeetham | India

Archana Mohan is a dedicated researcher and academician in Electrical and Electronics Engineering, currently pursuing her doctoral studies with a strong focus on power systems, e-mobility, and intelligent control applications. With a solid educational background spanning engineering, power systems, and management studies, she has built interdisciplinary expertise that strengthens her analytical and problem-solving capabilities. Her professional experience includes serving as a Teaching Assistant and Research Assistant in advanced laboratories related to power systems, robotics, embedded systems, autonomous systems, and electric vehicles, where she mentors students, develops experimental setups, and contributes to project execution. Her research contributions span transient stability modeling, hybrid electric vehicle architectures, V2X communication, state-of-charge estimation, air-quality integrated mobility systems, and optimization using AI-based techniques. She has authored multiple publications indexed in reputed databases with 19 citations, an h-index of 3, and i10-index of 0, reflecting the growing impact of her work. Her involvement in international conferences and journal publications highlights her active engagement with the global research community. She has also contributed to academic quality initiatives and technical events while earning recognition for her academic excellence and active participation. Her research interests continue to evolve toward sustainable mobility, intelligent power systems, and data-driven engineering solutions.

Profile: Google Scholar

Featured Publications

Mohan, A., & Manitha, P. V. (n.d.). Hybrid Electric Vehicles with V2X Topology and Smart Energy Management: An Overview of Their Potential and Limitations. In 2nd International Conference on Futuristic Technologies (INCOFT).

Mohan, A., & Vidya, M. S. (n.d.). Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions. In Third International Conference on Smart Systems and Inventive Technology.

Mohan, A., Avinash, R., Manitha, P. V., & Deepa, K. (n.d.). The Impact of PID Controllers on the Performance of Electric Vehicle Speed Control and SoC. In IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). A comprehensive review on the integration of air quality monitoring systems with hybrid electric vehicles for emission control in smart cities. Science of the Total Environment, 994, 180022.

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). Comparative analysis of state of charge estimation methods for Li-ion batteries using Kalman filter variants and machine learning techniques for electric vehicle applications. IEEE Access.

Deepana Gopal | Engineering | Best Researcher Award

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Dr. Deepana Gopal | Engineering | Best Researcher Award

S.A.Engineering College | India

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

Profile: Google Scholar

Featured Publications

Deepana, G. (2019). Synthesis and characterization of silica from Zea mays. International Journal of Engineering Research and Technology, 8(3), 311–316.

Deepana, G., Kamaraj, L., Ganapathi, S., Venkatesh, R., Amarnath, M. K., & others. (2024). Synthesis and machining characteristics study of agro-waste coconut shell powder incorporated aluminium alloy composite via the squeeze cast technique. International Journal of Cast Metals Research, 37(4–6), 276–286.

Gopal, D., & Shobarajkumar, D. (2024). Comparative study on structural behavior of ferrocement wall panels. Earthquake Engineering & Structural Dynamics, 53(5), 1727–1741.

Vijayaraj, A., Shreya, S., Deepana, G., Senthilvel, P. G., & Jebakumar, R. (2023). Organic and recyclable waste classification using integrated feature selection method. In 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (pp. —). IEEE.

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

Banaja Mohanty | Energy | Best Researcher Award

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

Veer Surendra Sai University of Technology | India

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

Profiles: Google Scholar | Scopus

Featured Publications

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

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

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

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

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

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.

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.