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.

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