Akansha. J | Engineering | Best Researcher Award

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Ms. Akansha. J | Engineering | Best Researcher Award

Vellore Institute of Technology, India

Author Profile

Early Academic Pursuits 🎓

Akansha Jagat’s journey into the realm of engineering and environmental science began with a strong foundation during her undergraduate studies in B.E.-Civil Engineering. Her fascination with environmental sustainability led her to pursue a postgraduate degree in M.Tech-Energy and Environmental Engineering. These formative years instilled in her a solid understanding of engineering principles, sustainability practices, and innovative approaches to environmental challenges. Her academic rigor and passion for learning were evident in her consistent performance and the research inclination she displayed early on.

Professional Endeavors and Practical Experience 🛠️

After completing her postgraduate studies, Akansha undertook a pivotal six-month internship at the National Environmental Engineering Research Institute (NEERI) in Nagpur, India. Under the mentorship of Dr. Nidheesh PV (Principal Scientist), she worked on the Electrocoagulation Process for Wastewater Treatment. This hands-on experience enriched her technical skills and deepened her understanding of advanced wastewater treatment methodologies.

Currently, Akansha is a Doctoral Researcher at the Vellore Institute of Technology (VIT), Vellore. Her doctoral work focuses on Electrokinetic Soil Remediation Techniques, a field that aims to address soil contamination using innovative electrochemical processes. This cutting-edge research positions her as a pioneer in environmental restoration, contributing solutions to one of the most pressing global challenges—soil pollution.

Contributions and Research Focus 📚

Akansha’s research contributions are a testament to her dedication to addressing environmental issues. She has authored and co-authored four research and review articles, each reflecting her deep commitment to creating a sustainable world. Her publications span critical topics, including:

  • Electrocoagulation Process in Wastewater Treatment: A technique aimed at removing contaminants using electrochemical processes.
  • Electrokinetic Soil Remediation Techniques: Exploring innovative ways to detoxify contaminated soils through electrokinetic methods.

Her research not only advances academic knowledge but also offers practical solutions for industries and policymakers, emphasizing environmental restoration and sustainability.

Accolades and Recognition 🏅

Though early in her career, Akansha’s contributions have not gone unnoticed. Her work at NEERI was highly appreciated, and her ability to translate academic insights into practical applications has earned her recognition within her field. Publishing four articles at this stage of her career highlights her productivity and the value of her research.

Impact and Influence 🌍

Akansha’s work has a tangible impact on environmental sciences, particularly in wastewater treatment and soil remediation. The Electrocoagulation Process and Electrokinetic Soil Remediation Techniques are critical for addressing industrial pollution and environmental degradation. Her research contributes to cleaner water and soil, fostering healthier ecosystems and improving the quality of life for communities affected by pollution.

As a doctoral researcher, she also mentors younger students and peers, inspiring them to explore innovative solutions to environmental challenges. Her publications serve as a knowledge repository, guiding fellow researchers in their pursuits.

Legacy and Future Contributions 🔮

Looking ahead, Akansha envisions expanding her research into multidisciplinary applications, integrating technology, policy-making, and community engagement. Her future contributions are likely to include:

  • Development of Sustainable Remediation Techniques: Innovating low-cost and scalable solutions for pollution control.
  • Collaboration with Global Institutions: Partnering with researchers worldwide to address shared environmental challenges.
  • Knowledge Dissemination: Publishing high-impact articles and delivering talks at international conferences to spread awareness about advanced remediation techniques.

Conclusion 🌟

Akansha Jagat is a promising researcher whose academic pursuits, practical experience, and innovative research contribute significantly to environmental sustainability. From wastewater treatment to soil remediation, her work exemplifies the fusion of engineering and environmental science to solve real-world problems. Her journey serves as an inspiration for aspiring researchers, and her legacy will undoubtedly shape the future of sustainable environmental practices.

Citations

A total of 179 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        179
  • h-index           04
  • i10-index        03

Notable Publications 

  • Electrokinetic remediation of chromium contaminated soil: Impact of particle size on treatment efficiency and bioavailability
    • Authors: Akansha, J., Das, B., Rajasekar, N.
    • Journal: Journal of Hazardous Materials Advances
    • Year: 2025.
  • Technological and economic analysis of electrokinetic remediation of contaminated soil: A global perspective and its application in Indian scenario
    • Authors: Akansha, J., Thakur, S., Chaithanya, M.S., Rajasekar, N., Priya, K.
    • Journal: Heliyon
    • Year: 2024.
  • Removal of nutrients and other emerging inorganic contaminants from water and wastewater by electrocoagulation process
    • Authors: Nidheesh, P.V., Khan, F.M., Kadier, A., Bote, M.E., Mousazadeh, M.
    • Journal: Chemosphere
    • Year: 2022.
  • Treatment of dairy industry wastewater by combined aerated electrocoagulation and phytoremediation process
    • Authors: Akansha, J., Nidheesh, P.V., Gopinath, A., Anupama, K.V., Suresh Kumar, M.
    • Journal: Chemosphere
    • Year: 2020.

Kanipakam Anuradha | Engineering | Best Researcher Award

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Dr. Kanipakam Anuradha | Engineering | Best Researcher Award

Dr.Lankapalli Bullayya College of Engineering-India

Author Profile

Early Academic Pursuits 🎓

Dr. K. Anuradha was born on May 14, 1976, into a family that valued education. She began her academic journey at a young age, excelling in her studies from her early years. Completing her 10th class with 67% from the Secondary Board in March 1991 laid a strong foundation for her future endeavors. She pursued her intermediate education next, achieving a 59% score before moving on to earn her bachelor’s degree from S.V. University, Tirupati, where she graduated in September 1996 with a second-class distinction.Her passion for statistics led her to complete an M.Sc. in Applied Statistics in June 1999, attaining an impressive 67%. This achievement sparked her curiosity further, motivating her to pursue a Ph.D. in Statistics, which she successfully completed in 2009. Continuing her pursuit of knowledge, Dr. Anuradha also obtained an M.Tech in Information Technology from Andhra University in October 2010 and pursued an A.M.I.E. in Computer Science and Engineering, reflecting her commitment to lifelong learning.

Professional Endeavors 💼

Dr. Anuradha’s professional career began in academia, where she dedicated herself to teaching and research. With over 22 years of teaching experience, she has held various positions at esteemed institutions. Currently, she serves as an Assistant Professor of Computer Science and Engineering at Dr. Lankapalli Bullayya College of Engineering for Women in Visakhapatnam since July 1, 2013. Before this, she held lecturer positions at the same college and at P.V.K.N. Government Degree College in Chittoor.Throughout her career, Dr. Anuradha has focused on providing quality education and mentorship to her students. Her teaching philosophy emphasizes the importance of practical knowledge alongside theoretical understanding, preparing her students for the challenges of the industry.

Contributions and Research Focus 🔍

Dr. Anuradha’s research interests primarily lie in statistics, data analysis, and their applications in computer science. Currently pursuing a Ph.D. in Computer Science and Engineering at Centurion University of Technology & Management, she aims to bridge the gap between statistical methodologies and technological advancements. Her ongoing research not only contributes to her academic growth but also aims to enhance the quality of education in the field of computer science.Her dedication to research has resulted in numerous publications in reputable journals, further solidifying her status as an expert in her field. Dr. Anuradha actively participates in academic conferences, presenting her research findings and contributing to discussions on the latest developments in statistics and computer science.

Accolades and Recognition 🏆

Dr. Anuradha’s commitment to excellence has not gone unnoticed. She is a recognized figure in her field, earning accolades for her contributions to education and research. Her achievements reflect her hard work and dedication, inspiring both her students and colleagues.She has also been involved in various committees within her institution, helping to shape the curriculum and improve educational standards. Her efforts have not only enriched her students’ learning experiences but have also fostered a culture of academic excellence within her institution.

Impact and Influence 🌍

Dr. Anuradha’s influence extends beyond the classroom. She has played a pivotal role in mentoring countless students, many of whom have gone on to achieve remarkable success in their respective fields. Her dedication to nurturing talent and encouraging research has significantly impacted the academic community.Moreover, Dr. Anuradha’s work promotes the integration of technology and statistics, emphasizing the importance of data-driven decision-making in today’s world. Her research contributes to the broader discourse on the relevance of statistical analysis in various industries, highlighting its critical role in shaping policies and practices.

Legacy and Future Contributions 🌟

As Dr. Anuradha continues her journey in academia, her legacy is already evident in the many students she has inspired and mentored. Her ongoing research and commitment to teaching will undoubtedly pave the way for future advancements in the fields of statistics and computer science.With her Ph.D. in Computer Science and Engineering in progress, Dr. Anuradha aims to explore new horizons in research, focusing on innovative applications of statistical methods in emerging technologies. Her vision for the future includes contributing to academic collaborations and fostering research initiatives that can make a significant impact on society.In conclusion, Dr. K. Anuradha exemplifies the spirit of academic excellence and dedication to education. Her journey, marked by achievements and contributions, serves as an inspiration for aspiring educators and researchers. As she continues to impact her field positively, her legacy will resonate through the countless lives she touches and the knowledge she imparts.

Citations

A total of 139 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        139
  • h-index           9
  • i10-index        3

Notable Publications

  • Title: Evolutionary Optimization of Dominating Set-Based Virtual Backbone Cluster Scheduling for Enhancing Energy Efficiency in Asymmetric Radio WSNs
    Authors: Mannepally, V., Mallik, B., Anuradha, K., Kavitha, D., Dhanikonda, S.R.
    Journal: International Journal of Intelligent Systems and Applications in Engineering
    Year: 2024.
  • Title: Opinion Mining Using Normal Discriminant Piecewise Regressive (NDPR) Sentiment Classification Technique
    Authors: Anuradha, K., Krishna, M.V., Mallik, B.
    Journal: Journal of Uncertain Systems
    Year: 2023.
  • Title: Distributed Autonomous Energy Organizations: Concept Of Autonomous Energy Grids
    Authors: Anuradha, K., Mallik, B., Krishna, M.V.
    Conference: AIP Conference Proceedings
    Year: 2023.
  • Title: Nomenclature of Diverse Feature Selection in Sentiment Analysis using Machine Learning Techniques: A Comparative Study
    Authors: Anuradha, K., Krishna, M.V., Mallik, B.
    Conference: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2022)
    Year: 2022.Title: A 6-bit low power SAR ADC
    Authors: Krishna, K.L., Anuradha, K., Murshed, A.M.
    Journal: Communications in Computer and Information Science
    Year: 2019.

Vishwash Sharma | Big data | Best Research Award

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Mr. Vishwash Sharma | Big data | Best Research Award

Amrita Vishwa Vidyapeetham, India

Author Profile

🎓 Early Academic Pursuits

Vishwash Sharma’s journey into the world of computer science and artificial intelligence began during his formative years at Kendriya Vidyalaya No-2, Jalahalli East. His academic excellence was evident early on, as he secured a remarkable 91% in Grade 10 in 2019 and maintained a high standard with 87% in Grade 12 in 2021. His strong foundation in science and mathematics, coupled with a burgeoning interest in technology, paved the way for his future endeavors.Vishwash’s passion for computer science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Artificial Intelligence at Amrita Vishwa Vidyapeetham, Bangalore. His dedication and hard work reflected in his impressive CGPA of 8.43, showcasing his commitment to mastering the complexities of AI and machine learning. Throughout his undergraduate studies, Vishwash has demonstrated a keen interest in applying AI to solve real-world problems, particularly in the fields of cybersecurity and deep learning.

💻 Professional Endeavors

As a final-year undergraduate student, Vishwash Sharma has already made significant strides in the field of artificial intelligence and cybersecurity. His professional journey is marked by a series of projects and contributions that highlight his technical acumen and innovative thinking.One of Vishwash’s notable projects is “Detecting Plant Diseases at Scale: A Distributed CNN Approach with PySpark and Hadoop,” which he presented at the International Conference on Machine Learning and Data Engineering (ICMLDE) in 2023. In this project, Vishwash developed a convolutional neural network (CNN) model using PySpark, achieving an impressive accuracy of 95.76% in detecting plant diseases from a dataset of 2000 images. To ensure the model’s practical applicability, he created a user-friendly interface with Tkinter, allowing seamless integration into agricultural practices. This project not only showcases his proficiency in machine learning frameworks but also his ability to apply AI solutions to address pressing challenges in agriculture.Another significant contribution by Vishwash is his work on “Federated Ensemble for Lung Pneumonia Detection,” which he presented at the 15th IEEE International Conference on Computing, Communication, and Networking Technologies in 2024. In this project, he developed a federated CNN ensemble model for lung pneumonia detection, emphasizing the importance of data privacy by training models locally at distributed medical institutions. The ensemble of VGG16 and a sequential model achieved the best accuracy, while the ensemble of GoogLeNet minimized false negatives, demonstrating the efficacy of federated learning in sensitive medical applications.

🔍 Contributions and Research Focus

Vishwash Sharma’s research and project work are centered around machine learning, deep learning, and cybersecurity. His approach to solving complex problems is characterized by a blend of technical expertise and a deep understanding of the real-world implications of his work.In the domain of cybersecurity, Vishwash has contributed significantly as a Digital Forensics and Incident Response (DFIR) mentor for Team bi0sblr. Specializing in network forensics and memory forensics, he has utilized tools such as Wireshark, Ghex, Scapy, and Volatility to mentor and guide his team. Under his leadership, Team bi0sblr consistently ranked among the top 5 in all India Capture The Flag (CTF) competitions, a testament to his skills and leadership.In addition to his work in cybersecurity, Vishwash has also been actively involved in AI-driven projects. His role as the Computer Science Subsystem Lead for Team Rover, participating in the ISRO Rover Challenge 2024, highlights his ability to integrate AI and robotics. He oversaw the design, development, and integration of computer science components into the rover platform, utilizing tools such as Jetson Nano, Intel RealSense Camera, PyTorch, and TensorFlow to achieve project objectives. This project underscores his versatility and ability to apply AI in diverse fields.

🏅 Accolades and Recognition

Vishwash Sharma’s dedication to his craft has earned him several accolades and certifications. He is an AWS Academy Graduate, having completed the AWS Academy Introduction to Cloud Semester in 2022. His commitment to data science and AI is further evidenced by his certification in Data Science Foundations from Great Learning in 2022, and his hands-on experience in AI for real-world applications through AI4ICPS at IIT Kharagpur in 2023.Moreover, Vishwash is a Certified Cyber Security Analyst (C3SA) from Cyberwarfare Labs, showcasing his dual expertise in AI and cybersecurity. His certification in Python for Genomic Data Science from Coursera highlights his interest in interdisciplinary applications of AI, further broadening his skill set.

🌍 Impact and Influence

Vishwash’s contributions have had a significant impact on both academic and professional communities. His work in plant disease detection has the potential to revolutionize agricultural practices by providing farmers with an accessible and accurate tool for monitoring crop health. Similarly, his research in federated learning for medical applications offers a promising approach to preserving patient privacy while enhancing diagnostic accuracy.As a mentor and leader, Vishwash has influenced many students and peers, particularly in the field of cybersecurity. His guidance has been instrumental in the success of Team bi0sblr, and his leadership in Team Rover demonstrates his ability to drive complex projects to successful outcomes.

🌠 Legacy and Future Contributions

Looking ahead, Vishwash Sharma is poised to make even greater contributions to the fields of AI, machine learning, and cybersecurity. His academic background, coupled with his hands-on experience in cutting-edge projects, positions him as a future leader in these domains. Vishwash is passionate about leveraging AI to create innovative solutions that enhance safety and efficiency across various industries.As he continues to explore new challenges and opportunities, Vishwash is committed to advancing the frontiers of AI and cybersecurity. His legacy will likely be defined by his contributions to the development of AI-driven solutions that address critical global issues, as well as his role in mentoring the next generation of technologists and researchers.

PAMMI KUMARI | Data Science | Best Researcher Award

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Ms. Pammi Kumari | Data Science | Best Researcher Award

NIT PATNA, India

Author Profile

🎓Early Academic Pursuits

Pammi Kumari’s academic journey began with a strong foundation in mathematics and sciences, as reflected in her early education. She completed her Class 10th from the Bihar Board in 2002 with a commendable score of 67.75%. Two years later, she graduated from high school with a 60% in Class 12th, also under the Bihar Board. Her passion for mathematics led her to pursue a B.Sc. in Mathematics from Magadh University, where she graduated in 2007 with a solid 65%.Her interest in engineering, particularly in electronics and communication, prompted her to pursue a B.Tech in Electronics & Communication Engineering from I.E.T. M.J.P. Rohilkhand University, Bareilly. She excelled in her studies, achieving a DGPA of 8.02 (75%) and graduating in 2012. Driven by a desire to deepen her expertise, Pammi Kumari continued her education with an M.Tech in Electronics & Communication Engineering, specializing in Communication Engineering, at Invertis University of Technology, Bareilly, where she graduated in 2015 with an aggregate of 76.47%. Currently, she has submitted her Ph.D. thesis in Electronics & Communication Engineering from the prestigious Birla Institute of Technology, MESRA, Ranchi, boasting an impressive aggregate of 8.23%.

💼Professional Endeavors

Pammi Kumari’s professional journey is as impressive as her academic achievements. She has accumulated over six years of teaching experience, beginning her career as a Teaching Assistant during her M.Tech. at Invertis University, Bareilly. Following this, she served as a lecturer at I.E.T. M.J.P. Rohilkhand University, Bareilly, in the Department of Electronics & Communication Engineering from 2012 to 2014.Pammi then transitioned to a role as an Assistant Professor at Mohammad Ali Jauhar University, Rampur, where she served from 2015 to 2017. Her teaching journey continued as a guest lecturer at KNIT Sultanpur, U.P., from 2017 to 2019, demonstrating her commitment to educating and mentoring students. Pammi Kumari also worked as an Assistant Professor at the Meerut Institute of Technology (MIET) in the Department of Computer Science and Engineering, specializing in Data Science, showcasing her versatility in the field.Currently, Pammi Kumari is a Project Assistant at NIT Patna, in the Department of Electronics & Communication Engineering, where she works under the supervision of Dr. Subodh Srivastava. This role allows her to apply her engineering skills in a research setting, further enhancing her professional experience.

🔬Contributions and Research Focus

Pammi Kumari has made significant contributions to the field of electronics and communication engineering, particularly in the areas of artificial intelligence (AI), machine learning, and digital image processing. Her research has primarily focused on medical image processing, which was the subject of her Ph.D. thesis. Her work in this area involved the detection of dead tissues in medical images using various algorithms, contributing valuable insights to the field of medical diagnostics.During her M.Tech., Pammi focused on digital image processing using Artificial Neural Networks, further establishing her expertise in this area. Her B.Tech. thesis, titled “Design of Rectangular Patch Microstrip Antenna using IE3D Software,” demonstrated her strong foundation in antenna design and wave propagation.In addition to her academic research, Pammi has also been involved in several industrial training and projects. She completed an internship at NTPC Singarulli, M.P., where she gained practical experience in the field. Her industrial experience is further highlighted by her expertise in software tools such as MATLAB, PYTHON, and C++, as well as her knowledge of Electromagnetic Simulation and Design Automation using IE3D Software and CST STUDIO SUITE.

🏅Accolades and Recognition

Pammi Kumari’s work has been recognized through various accolades, including the publication of multiple Indian patents. These patents reflect her innovative approach to problem-solving and her contributions to the field of electronics and communication engineering. Notable among these are her patents on an “IoT Health Monitoring Device,” a “Machine Learning Based Approach for Products with Embedded Sensors of E-Commerce Sites,” and an “IoT and Artificial Intelligence-Based Solar Power Generation with Maximum Power Tracking Using Modern ML.”Her contributions to academia also include co-authoring the book “Database Concepts and Design,” published by AkiNik Publications in New Delhi in 2022. This book is a testament to her deep understanding of database systems and her ability to convey complex concepts in an accessible manner.

🌍Impact and Influence

Pammi Kumari’s influence extends beyond her research and teaching. She has actively participated in national conferences, including those focused on computer communication, embedded systems, and digital information technologies. These conferences have provided her with platforms to share her research findings and collaborate with other experts in the field.Moreover, Pammi has contributed to the academic community by participating in faculty development programs (FDPs) and workshops. Her involvement in FDPs on topics such as “Artificial Intelligence and Machine Learning in Healthcare” and “Frontier Areas of Research in Mechanical Engineering” demonstrates her commitment to continuous learning and staying at the forefront of technological advancements.

🌟Legacy and Future Contributions

As Pammi Kumari continues to advance in her career, her legacy is likely to be one of innovation, dedication, and impact. Her work in AI and machine learning, particularly in the context of medical image processing, has the potential to revolutionize healthcare diagnostics. Her contributions to teaching and mentoring the next generation of engineers and researchers will undoubtedly have a lasting influence on the field.Looking forward, Pammi Kumari is poised to continue making significant contributions to the field of electronics and communication engineering. Her ongoing research, coupled with her passion for teaching, will ensure that she remains a valuable asset to both the academic and industrial communities. With her strong foundation in research, teaching, and innovation, Pammi Kumari is set to leave an indelible mark on the world of engineering and technology.

Citations

A total of 5 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         5
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Pathologic Myopia Diagnosis and Localization from Retinal Fundus Images Using Custom CNN
    Authors: Kumari, P., Saxena, P.
    Journal: Neural Computing and Applications
    Year: 2024.
  • Title: An Efficient Multitasking Cascade Network for Arteriovenous Segmentation Using Dual-Modal Fundus Images
    Authors: Diwakar, R.K., Kumari, P., Saxena, P., Poddar, R.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Disease Localization and Its Prediction from Retinal Fundus Images Using Explicitly Designed Deep Learning Architecture
    Authors: Kumari, P., Saxena, P.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Retinal Disease Classification Using Custom CNN Model from OCT Images
    Authors: Baba, S., Kumari, P., Saxena, P.
    Journal: Procedia Computer Science
    Year: 2024.
  • Title: Cataract Detection and Visualization Based on Multi-Scale Deep Features by RINet Tuned with Cyclic Learning Rate Hyperparameter
    Authors: Kumari, P., Saxena, P.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.

Girija Shankar Sahoo | Engineering | Best Researcher Award

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Dr. Girija Shankar Sahoo | Engineering | Best Researcher Award

Vellore Institute of Technology- India

Author Profile

📚Early Academic Pursuits

Girija Shankar Sahoo, an esteemed academic and researcher, began his academic journey with a strong foundation in electronics engineering. He pursued his undergraduate and graduate studies with a focus on advanced topics in electronics, which set the stage for his future research endeavors. His initial years were characterized by a deep commitment to understanding the theoretical and practical aspects of electronics engineering. This dedication led him to earn accolades and recognition early on, reinforcing his resolve to make significant contributions to the field. His educational background was pivotal in shaping his career objectives and professional aspirations.

🌟Professional Endeavors

Currently affiliated with the School of Electronics Engineering at VIT University, Chennai, Tamil Nadu, India, Girija Shankar Sahoo has established himself as a leading figure in the field of electronics engineering. His career objective is clear: to secure a challenging and satisfying position that offers scope for organizational growth and personal development. His professional summary highlights his exceptional dedication as an engineering research faculty, known for his ability to convey complex engineering theories in a clear and practical manner. His expertise extends beyond theory into laboratory teaching, where he actively engages with students to help them achieve their academic and professional goals.

🔬Contributions and Research Focus

Dr. Sahoo’s research focuses on the computational study of nanomaterials for energy applications, particularly in photovoltaic and solar cell technologies. His research summary is impressive, showcasing over 35 international publications in refereed journals and conferences, cited more than 221 times. His h-index of 10 and i10-index of 12 reflect the significant impact of his work in the academic community. Notably, he has authored 23 first-authored publications and presented his findings at 9 international conferences and 1 international symposium. His active participation in workshops organized by IIT Bombay on solar cell fabrication technology further demonstrates his commitment to advancing the field.

🏅Accolades and Recognition

Dr. Sahoo’s work has not gone unnoticed. His research has received widespread recognition in the form of citations and impactful publications. The number of citations and high h-index indicate the relevance and quality of his contributions to the field. His role as a presenter at international conferences and his participation in workshops organized by prestigious institutions like IIT Bombay underscore his standing in the academic community. These achievements reflect his commitment to pushing the boundaries of knowledge in electronics engineering and solar cell technology.

🌍Impact and Influence

The impact of Dr. Sahoo’s research is significant, particularly in the realm of photovoltaic technologies. His work on the computational study of nanomaterials and solar cells contributes to advancements in energy efficiency and sustainable technologies. The high citation count and presence in top-tier journals highlight his influence in the field. By focusing on innovative solutions like lead-free perovskite solar cells and advanced solar cell designs, Dr. Sahoo’s research plays a crucial role in addressing global energy challenges and fostering sustainable development.

🔮Legacy and Future Contributions

Looking forward, Dr. Sahoo’s legacy is poised to continue shaping the field of electronics engineering and renewable energy technologies. His ongoing research efforts and publications reflect a commitment to innovation and excellence. With his extensive experience and dedication, he is likely to remain a pivotal figure in advancing solar cell technologies and nanomaterials research. His future contributions will undoubtedly build on his current work, driving further advancements and offering new solutions to pressing technological and environmental challenges.

Citations

A total of 193 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        193
  • h-index           32
  • i10-index        10

Notable Publications 

  • Modeling of Highly Efficient CNGS-Based Kesterite Solar Cell: A DFT Study Along with SCAPS-1D Analysis
    • Authors: El Ouarie, N., El Hamdaoui, J., Sahoo, G.S., Laroze, D., Feddi, E.
    • Journal: Solar Energy
    • Year: 2023
    • Volume: 263
    • Page: 111929
  • Optimization of a-Si Thin-Film Solar-Cell Performance with Passivation and c-Si Cap Layer
    • Authors: Verma, M., Routray, S., Sahoo, G.S., Mishra, G.P.
    • Journal: Physica Status Solidi (A) Applications and Materials Science
    • Year: 2023
    • Volume: 220
    • Issue: 18
    • Article Number: 2300213
  • GaAs0.95P0.05 Single Junction Solar Cell with InP QW in p-i-n Region for Sub-Bandgap Photon Absorption
    • Authors: Verma, M., Routray, S.R., Sahoo, G.S., Mishra, G.P.
    • Journal: Physica Scripta
    • Year: 2023
    • Volume: 98
    • Issue: 7
    • Article Number: 074004
  • Numerical Investigation of Toxic Free Perovskite Solar Cells for Achieving High Efficiency
    • Authors: Bhattarai, S., Pandey, R., Madan, J., Wabaidur, S.M., Ansari, M.Z.
    • Journal: Materials Today Communications
    • Year: 2023
    • Volume: 35
    • Article Number: 105893
  • CuO Film as a Recombination Blocking Layer: A Unique Approach for the Efficiency Improvement of Si Solar Cells
    • Authors: Sahoo, G.S., Harini, C., Mahadevi, N., Verma, M., Mishra, G.P.
    • Journal: Silicon
    • Year: 2023.