Shahid Mohammad Ganie | Computer Science | Best Researcher Award

Dr. Shahid Mohammad Ganie | Computer Science | Best Researcher Award

AI Research Centre, Woxsen University, India

Author Profile

Early Academic Pursuits 🎓✨

Dr. Shahid Mohammad Ganie’s academic journey is a testament to his dedication to excellence. He began his higher education by earning a Bachelor’s degree in Mathematics (B.Sc) from the prestigious University of Kashmir, laying a strong foundation in analytical and logical reasoning. He further pursued a Master’s degree in Computer Applications (MCA) from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir, where he excelled as a Gold Medalist, showcasing his commitment to academic brilliance.

Dr. Ganie’s passion for innovation and technology led him to complete his Ph.D. in Healthcare Informatics from the same institution. During his doctoral research, he focused on the intersection of artificial intelligence and healthcare, a domain that continues to define his professional endeavors and contributions.


Professional Endeavors 💼💡

Currently serving as an Assistant Professor and Research Scientist at the AI Research Centre, Woxsen University, Hyderabad, Dr. Ganie has amassed over 2 years of teaching experience at both undergraduate and postgraduate levels. His dual role as an academic and researcher enables him to bridge theoretical knowledge with practical applications, particularly in cutting-edge fields like Explainable AI, Data Analytics, and Machine Learning.

Dr. Ganie also leads as the Program Director of MBA (BA, AI & ML) at Woxsen University. His leadership in this interdisciplinary program emphasizes integrating business acumen with technological advancements, preparing students to thrive in the AI-driven future.

As a Technology Advisory Board member of the AI Research Centre, he actively contributes to shaping the institution’s strategic direction, fostering innovation, and enhancing industry-academia collaboration.


Contributions and Research Focus 🔍🧠

Dr. Ganie’s research interests are diverse and impactful, encompassing Data Analytics, Explainable AI, Machine Learning, Deep Learning, Healthcare Informatics, and Medical Image Computing. His dedication to advancing these fields is evident through his extensive body of work:

  • Publications: Over 30 research articles in refereed journals, edited books, and renowned international conferences, highlighting his thought leadership in AI and healthcare informatics.
  • Patents: Holder of 2 patents in the healthcare domain, underscoring his innovative contributions to improving medical technologies.
  • Books: Editor of 2 books, published by reputed publishers like Elsevier and Taylor and Francis, further cementing his expertise and influence in the academic community.

His focus on Explainable AI ensures that AI systems remain transparent, interpretable, and trustworthy, particularly in healthcare informatics, where patient safety and ethical considerations are paramount.


Accolades and Recognition 🏆🌟

Dr. Ganie’s exemplary contributions have been recognized through numerous awards and honors:

  • Best Researcher Awards: He was bestowed with the Best Researcher Awards by the School of Business at Woxsen University for consecutive academic years, 2023 and 2024, in recognition of his outstanding research output.
  • Research Grants: Recipient of prestigious research grants that have enabled him to undertake groundbreaking projects in AI and healthcare.

These accolades are a testament to his relentless pursuit of excellence and his ability to inspire and lead within the academic and research community.


Impact and Influence 🌍🔗

Dr. Ganie’s work has far-reaching implications across academia and industry. As a mentor and Chair Professor, he nurtures the next generation of scholars, encouraging them to explore innovative solutions to real-world challenges. His role as a Technology Advisory Board member ensures that his insights shape institutional strategies, fostering growth and innovation.

His emphasis on AI-driven innovations in healthcare has the potential to revolutionize patient care by making diagnostic tools more accurate, accessible, and ethical.


Legacy and Future Contributions 🚀📚

Looking ahead, Dr. Ganie aims to continue advancing the fields of Data Analytics, Machine Learning, and Healthcare Informatics, driving AI innovations that benefit society. His ongoing projects, combined with his leadership roles, ensure that his impact will resonate for years to come.

As a dedicated mentor, he strives to inspire his students to become leaders in their respective fields. His commitment to bridging academia and industry is pivotal in fostering collaboration and ensuring the practical relevance of academic research.

Citations

A total of 187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        187
  • h-index          23
  • i10-index       08

Notable Publications

  • Title: An Investigation of Ensemble Learning Techniques for Obesity Risk Prediction Using Lifestyle Data
    Authors: Ganie, S.M., Reddy, B.B., K, H., Rege, M.
    Journal: Decision Analytics Journal
    Year: 2025.
  • Title: Improved Liver Disease Prediction from Clinical Data through an Evaluation of Ensemble Learning Approaches
    Authors: Ganie, S.M., Dutta Pramanik, P.K., Zhao, Z.
    Journal: BMC Medical Informatics and Decision Making
    Year: 2024.
  • Title: Correction to: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Dutta Pramanik, P.K., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Pramanik, P.K.D., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: A Comparative Analysis of Boosting Algorithms for Chronic Liver Disease Prediction
    Authors: Ganie, S.M., Dutta Pramanik, P.K.
    Journal: Healthcare Analytics
    Year: 2024.

Anushka Joshi | Data Science | Best Researcher Award

Ms. Anushka Joshi | Data Science | Best Researcher Award

Indian Institute of Technology, Roorkee, India

Author Profile

Early Academic Pursuits 🌟📘

Anushka Joshi’s journey in the realm of academia has been marked by her unwavering dedication and stellar achievements. From her school days, she displayed an exceptional aptitude for computer science, culminating in her receiving the CBSE Computer Science School Topper Award in 2016. Her academic foundation was further solidified during her B.Tech in Computer Science and Engineering (CSE) at Govind Ballabh Pant Institute of Engineering and Technology, Pauri, where she graduated with an impressive 85.4% in 2020, earning a first-division distinction.

This strong base enabled her to secure a remarkable GATE rank of 599 in CSE (2022), opening the doors to prestigious institutions for her postgraduate studies. Her journey reflects her commitment to academic excellence and her passion for technology. 🎓💻


Professional Endeavors 🚀💼

Anushka embarked on her M.Tech in CSE at the esteemed Indian Institute of Technology (IIT) Hyderabad from 2020 to 2022. Here, she maintained an exceptional CGPA of 9.8, showcasing her in-depth understanding and expertise in her field. During her tenure, she was honored with the Student Excellence Award (2022), a testament to her outstanding academic and extracurricular contributions.

Her M.Tech thesis, which focused on utilizing machine learning for earthquake systems, earned her an A+ (outstanding grade), highlighting her ability to apply computational techniques to real-world problems. Additionally, Anushka won the Build Project competition in 2022, further demonstrating her technical prowess and innovative thinking. 🏆💡

Anushka’s professional journey reached greater heights when she joined the Ph.D. program in CSE at IIT Roorkee in 2022. Her exceptional work and potential earned her the prestigious Prime Minister’s Research Fellowship (PMRF), enabling her to delve deeper into groundbreaking research. Currently, she maintains a perfect 10 CGPA, reflecting her continued excellence. 📊🔬


Contributions and Research Focus 📑🔍

Anushka’s research revolves around applying advanced machine learning (ML) and artificial intelligence (AI) methodologies to solve pressing issues in various domains. Her M.Tech thesis demonstrated her capability to model earthquake systems using ML, contributing valuable insights for disaster management and prediction.

As a Ph.D. scholar at IIT Roorkee, she continues to push the boundaries of computational research, working on innovative projects that address critical challenges. Her contributions, underpinned by her technical acumen, have the potential to create significant societal impacts, especially in areas involving environmental sustainability and disaster resilience. 🌏🤖


Accolades and Recognition 🏅✨

Throughout her academic and professional journey, Anushka has amassed numerous accolades, cementing her reputation as a brilliant scholar:

  • CBSE Computer Science School Topper Award (2016) 🏫
  • Student Excellence Award at IIT Hyderabad (2022) 🎖️
  • A+ (Outstanding Grade) for M.Tech Thesis 📜
  • Build Project Competition Winner (2022) 🥇
  • PMRF Fellowship Recipient for exemplary research potential 🎓

These achievements reflect her dedication, hard work, and ability to excel in diverse academic pursuits. 🏆🎉


Impact and Influence 🌟🌐

Anushka’s work has not only contributed to the academic community but has also inspired peers and juniors to aim for excellence. Her involvement in pioneering projects and her academic distinction serve as a source of motivation for aspiring students in the field of computer science and engineering. 💻📈

Her research on earthquake systems has practical implications for disaster preparedness, potentially saving lives and reducing infrastructure damage. By leveraging AI and ML, Anushka is contributing to advancements that bridge the gap between technology and societal needs. 🌍💡


Legacy and Future Contributions 🔮🛠️

As Anushka continues her Ph.D. at IIT Roorkee, she is poised to leave a lasting legacy in her field. Her relentless pursuit of knowledge and innovation ensures that her contributions will extend far beyond academia, impacting industries and communities alike.

In the future, she envisions collaborating with global researchers and institutions to further her work, making strides in AI-driven solutions for environmental challenges and disaster management. With her strong foundation, passion for learning, and commitment to excellence, Anushka is set to shape the future of technology and its applications for societal benefit. 🚀🌌

Citations

A total of 169 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        169
  • h-index           08
  • i10-index        04

Notable Publications 

  • IsoMapGen: Framework for Early Prediction of Peak Ground Acceleration Using Tripartite Feature Extraction and Gated Attention Model
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: Computers and Geosciences
    • Year: 2025.
  • An Integrated Approach for Prediction of Magnitude Using Deep Learning Techniques
    • Authors: Joshi, A., Raman, B., Mohan, C.K.
    • Journal: Neural Computing and Applications
    • Year: 2024.
  • Application of XGBoost Model for Early Prediction of Earthquake Magnitude from Waveform Data
    • Authors: Joshi, A., Vishnu, C., Mohan, C.K., Raman, B.
    • Journal: Journal of Earth System Science
    • Year: 2024.
  • A New Machine Learning Approach for Estimating Shear Wave Velocity Profile Using Borelog Data
    • Authors: Joshi, A., Raman, B., Mohan, C.K., Cenkeramaddi, L.R.
    • Journal: Soil Dynamics and Earthquake Engineering
    • Year: 2024.
  • A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2024.

SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

Dr. SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

AMITY UNIVERSITY, India

Author Profile

Early Academic Pursuits 🎓

Dr. Aggarwal’s academic journey began with a B.Tech in Computer Engineering from the University College of Engineering, Punjabi University, Patiala (2011–2015). Her undergraduate years were marked by curiosity and excellence, laying a robust foundation in computer engineering.

Continuing her passion for learning, she pursued an M.E. in Computer Science and Engineering at Panjab University, Chandigarh (2015–2017). Her thesis, titled “Load Balancing and Clustering Scheme for Real-Time VoIP Applications”, showcased her ability to solve complex problems in real-time communication systems. Under the mentorship of Dr. Sakshi Kaushal and Dr. Harish Kumar, she honed her research skills, preparing her for future academic endeavors.

Her most significant academic achievement is her Ph.D. in Computer Science and Engineering from the Thapar Institute of Engineering and Technology, Patiala (2018–2023). Her doctoral thesis, “An Efficient Decentralized Secure Energy Management Framework for Smart Grid System”, reflects her expertise in energy systems, blockchain, and cybersecurity. Guided by Dr. Neeraj Kumar, one of India’s top computer science researchers, she demonstrated exemplary dedication and technical prowess. 🔐⚡


Professional Endeavors 🏫

Dr. Aggarwal’s professional career is defined by her dual focus on education and research. Since August 2022, she has been an Assistant Professor at Amity University Punjab, contributing significantly to both undergraduate and postgraduate programs. Her teaching portfolio includes a wide array of subjects, such as:

  • Computer Networks
  • IoT and Blockchain Technologies
  • Secure Communication and Cryptography
  • Web and Mobile Security
  • Data Mining and Business Intelligence
  • Design Thinking 💡

Dr. Aggarwal’s teaching approach emphasizes creativity, critical thinking, and real-world applications, inspiring students to excel in their academic and professional pursuits.


Contributions and Research Focus 🔬

Dr. Aggarwal’s research interests align with contemporary challenges in technology. Her key areas include:

  • Blockchain: Exploring decentralized systems for secure energy management in smart grids.
  • Cybersecurity: Developing frameworks to secure communication and cryptographic protocols. 🔒
  • IoT and Smart Grids: Designing efficient, decentralized systems for real-time data processing.
  • Artificial Intelligence and Machine Learning: Leveraging AI for data mining and business intelligence. 🤖📊

Her doctoral research introduced a groundbreaking framework for secure energy management in smart grids, enhancing the efficiency and security of energy systems. She has also explored load balancing and clustering techniques, addressing real-time VoIP challenges.


Accolades and Recognition 🏆

Dr. Aggarwal’s contributions to academia and research have earned her several prestigious accolades:

  1. World’s Top 2% Scientist Recognition by Stanford University (2023, 2024).
  2. Recognition for her impactful teaching and curriculum design at Amity University Punjab.

Her academic and professional achievements underscore her commitment to excellence in education and research. 🌟


Impact and Influence 🌍

As an educator, Dr. Aggarwal has shaped the careers of countless students, inspiring them to think innovatively and pursue ambitious goals. Her research has contributed significantly to advancing knowledge in blockchain technology, cybersecurity, and smart systems.

Her work in smart grids has the potential to revolutionize energy management, promoting sustainability and efficiency in a digitally connected world. Her passion for teaching and research has created a ripple effect, influencing students and peers alike. 🌱


Legacy and Future Contributions 🚀

Dr. Aggarwal’s future endeavors aim to bridge the gap between academia and industry. She envisions:

  1. Developing innovative teaching methodologies to prepare students for the rapidly evolving tech landscape. 📚
  2. Expanding her research into smart cities, AI-driven systems, and cybersecurity frameworks for large-scale applications.
  3. Collaborating internationally to solve global challenges in energy, communication, and technology.

Her legacy lies in her ability to seamlessly integrate teaching and research, fostering an environment of learning, innovation, and collaboration. As a mentor, researcher, and educator, Dr. Shubhani Aggarwal continues to leave an indelible mark on the academic and technological community. ✨

Citations

A total of 2,006 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        2,006
  • h-index          44
  • i10-index       16

Notable Publications

  • A Blockchain-Based Secure Path Planning in UAVs Communication Network
    • Authors: Aggarwal, S., Budhiraja, I., Garg, S., Choi, B.J., Hossain, M.S.
    • Journal: Alexandria Engineering Journal
    • Year: 2025.
  • Blockchain-Based Content Retrieval Mechanism in NDN-Enabled V2G Networks
    • Authors: Aggarwal, S., Kumar, N., Mohammad, N., Barnawi, A.
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2024.
  • BlockTwins: Blockchain Empowered Supply Chain Digital Twins in Metaverse
    • Authors: Aggarwal, S., Kumar, N., Singh, A., Aujla, G.S.
    • Conference: 2024 IEEE International Conference on Communications Workshops (ICC Workshops)
    • Year: 2024.
  • Authentication of Smart Grid by Integrating QKD and Blockchain in SCADA Systems
    • Authors: Aggarwal, S., Kaddoum, G.
    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2024.
  • Fog Computing for 5G-Enabled Tactile Internet: Research Issues, Challenges, and Future Research Directions
    • Authors: Aggarwal, S., Kumar, N.
    • Journal: Mobile Networks and Applications
    • Year: 2023.

Dattatray Takale | Machine Learning | Best Researcher Award

Dr. Dattatray Takale | Machine Learning | Best Researcher Award

Vishwakarma Institute of information Technology, Pune, India

Author Profile

Early Academic Pursuits 📚

Dr. Dattatray G. Takale’s journey in the field of Computer Science and Engineering began with a strong foundation laid during his formative years. Completing his SSC with an impressive 70% from Pune Board in 2007, he displayed academic diligence early on. In 2009, he earned his HSC certification, achieving a commendable 59%, showcasing his growing interest in science and technology.

His academic trajectory took a significant leap when he pursued a Bachelor of Engineering (BE) in Computer Science and Engineering from Savitribai Phule Pune University (SPPU), graduating in 2013 with a solid 60%. Dr. Takale’s thirst for knowledge propelled him further, leading to a Master of Engineering (ME) in 2015 from the same university, where he excelled with an impressive 8.04 grade. His crowning academic achievement came in February 2022 when he earned a Ph.D. in Computer Science and Engineering from JJTU, Rajasthan, with a stellar grade of 8.0.

Professional Endeavors 💼

Dr. Takale’s professional journey is marked by versatility and dedication, blending academia and industry expertise. He began his career as a Lecturer at GRD Soft Tech, Baramati (2013-2014), setting the stage for his academic pursuits. Subsequently, he honed his teaching skills as an Assistant Professor at SIETC Paniv, Solapur (2015-2017) and Dattakala Group of Institutes, Faculty of Engineering, Pune (2017-2019).

Expanding his horizons, Dr. Takale ventured into the industry as a Software Engineer at Landmark Techedge Pvt. Ltd (2019-2022), gaining valuable experience in data engineering, SQL development, and website design. Since September 2022, he has been serving as an Assistant Professor at the prestigious Vishwakarma Institute of Information Technology, Pune. With over 11 years of diverse experience, Dr. Takale seamlessly bridges the gap between academia and industry.

Contributions and Research Focus 🖋️

Dr. Takale’s contributions extend beyond teaching. He is an expert in research paper writing, Turnitin plagiarism tools, and educational project implementation. His technical acumen includes proficiency in programming languages like C, C++, Python, and Visual Basic, along with expertise in software engineering, data structures, algorithms, and network simulation tools like NS-2 and NS-3.

A significant part of his research is centered on Wireless Sensor Networks, intellectual property rights (IPR), patent and copyright drafting, and network simulations. His deep understanding of HTML, XML, and PHP, coupled with tools like Latex and Mendeley, underscores his dedication to advancing research methodologies.

Accolades and Recognition 🏆

Dr. Takale’s excellence has earned him recognition from peers and institutions alike. His ability to manage academic responsibilities, solve complex problems, and foster teamwork highlights his dynamic skill set. Known for his sincerity, willingness to learn, and exemplary communication skills, he is a valued educator and researcher.

His expertise in guiding students through challenging subjects like Discrete Mathematics, Data Structures, and Design and Analysis of Algorithms has made him a sought-after mentor in undergraduate education. Dr. Takale’s commitment to fostering innovation is evident in his ability to navigate both theoretical and practical aspects of computer science.

Impact and Influence 🌍

Dr. Takale has significantly influenced students and colleagues with his analytical mindset and problem-solving skills. His dual experience in academia and industry allows him to prepare students for real-world challenges. By integrating modern tools and technologies into the curriculum, he ensures that students are well-versed in both foundational and advanced topics.

Legacy and Future Contributions 🚀

As a dedicated researcher and educator, Dr. Takale’s legacy lies in his unwavering commitment to excellence. He aspires to contribute further to the academic and technological landscape by fostering innovation and research. His vision includes empowering students to excel in programming, software development, and research while promoting ethical practices through tools like Turnitin.

In the future, Dr. Takale aims to expand his research in Wireless Sensor Networks and IPR, driving advancements in these critical fields. His multifaceted expertise and passion for education position him as a pivotal figure in shaping the next generation of tech leaders.

Citations

A total of 17 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         17
  • h-index           25
  • i10-index        02

Notable Publications 

  • Title: Mathematical Modeling of Electrical Power Systems for Fault Detection
    Authors: Mane, P.P., Dhawas, N., Tarambale, M., Kumar, J.R.R., Ajani, S.N.
    Journal: Communications on Applied Nonlinear Analysis
    Year: 2025.
  • Title: Mathematical Approaches to Circuit Optimization in VLSI Design
    Authors: Navandar, R.K., Gosavi, G.V., Palkar, I.M., Dhablia, A., Pawar, A.M.
    Journal: Advances in Nonlinear Variational Inequalities
    Year: 2025.
  • Title: An Energy Efficient Routing Protocol with Fuzzy Neural Networks in Wireless Sensor Network
    Authors: Harihara Gopalan, S., Takale, D.G., Jayaprakash, B., Pandiya Raj, V.
    Journal: Ain Shams Engineering Journal
    Year: 2024.
  • Title: Enhancing Document Summarization with Machine Learning Approaches for Single and Multiple Documents
    Authors: Deshmukh, G.B., Takale, D.G., Gawali, P.P., Patil, S.A., Lahve, R.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.
  • Title: Optimizing Content-Based Image Retrieval System Using Convolutional Neural Network Models
    Authors: Kashid, S.S., Takale, D.G., Gawali, P.P., Deshpande, A.V., Salve, B.S.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.

RAJEASHWARI. S | Deep Learning | Best Researcher Award

Mrs. RAJEASHWARI. S | Deep Learning | Best Researcher Award

SRI S. RAMASAMY NAIDU MEMORIAL COLLEGE, India

Author Profile

Early Academic Pursuits 🎓📖

Rajeswari S. has consistently demonstrated a deep passion for the field of Computer Science, as evident in her academic journey that began with her undergraduate studies in 2004. She earned a degree in Computer Science from a Deemed University, securing an impressive 75.6% and setting the foundation for her career in technology and education. Her dedication continued through her postgraduate studies at Anna University, where she achieved a commendable 73% in Computer Science in 2007.

Her academic curiosity led her to pursue an M.Phil. in Computer Science at Vinayaka Missions University in 2009, attaining a respectable 61.75%. Her dissertation, titled “Analysis of Medical Image Segmentation Using Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network,” reflects her interest in innovative computational methodologies. Currently, she is pursuing a Ph.D. in Computer Science from Madurai Kamaraj University, furthering her expertise and research capabilities in this ever-evolving field.


Professional Endeavors 💼👩‍🏫

Rajeswari has built a robust teaching career, marked by impactful roles at esteemed institutions. She began her professional journey as an Assistant Professor at K.R. College of Arts & Science, Kovilpatti, from June 2008 to June 2010. During this period, she nurtured budding technologists with her insightful teaching and dedication.

In 2016, she joined Sri Krishnasamy Arts and Science College, Sattur, where she served until April 2021. Her tenure was characterized by her ability to blend theoretical concepts with practical applications, making complex topics accessible to her students. Her teaching not only enriched the academic environment but also inspired many to explore advanced areas of Computer Science.


Contributions and Research Focus 🧠🔬

Rajeswari’s research interests are deeply rooted in computational intelligence and its applications. Her M.Phil. dissertation delves into advanced image processing techniques, specifically medical image segmentation. By employing Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network, she contributed to the development of more accurate and efficient methods for medical diagnostics, showcasing her commitment to impactful research.

Her ongoing Ph.D. studies aim to expand this work, likely exploring cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and their intersections with image processing. Her research holds the potential to contribute to the fields of healthcare, diagnostics, and data analysis, addressing critical challenges with innovative solutions.


Accolades and Recognition 🏆🌟

Throughout her academic and professional career, Rajeswari has earned recognition for her dedication and contributions. While specific accolades are not listed, her ability to consistently secure teaching positions and handle complex research topics speaks volumes about her reputation in the academic community. She is undoubtedly appreciated for her commitment to quality education and her efforts to advance knowledge in her field.


Impact and Influence 🌍✨

Rajeswari’s influence extends beyond the classroom. As an educator, she has empowered countless students with the skills and knowledge necessary to thrive in the tech industry. Her research work, particularly in medical image segmentation, has the potential to make significant contributions to healthcare by improving diagnostic accuracy and efficiency.

Her dual role as a teacher and researcher positions her as a bridge between theoretical knowledge and practical applications, fostering a deeper understanding of computer science’s capabilities and limitations.


Legacy and Future Contributions 🌟🔮

Looking forward, Rajeswari is poised to leave a lasting legacy in both academia and research. Her ongoing Ph.D. studies and prior achievements suggest a future filled with innovative contributions to technology and education. As she continues to explore the realms of AI and neural networks, her work will likely influence emerging technologies and inspire new generations of researchers.

In the classroom, her commitment to nurturing talent ensures that her influence will echo through the achievements of her students. Meanwhile, her research endeavors promise to address pressing challenges, particularly in healthcare and data processing, cementing her position as a thought leader in her field.

Notable Publications 

  • Title: An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated Attribute Selector for Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Communications in Computer and Information Science
    Year: 2025.
  • Title: Enhancing pneumonia diagnosis with ensemble-modified classifier and transfer learning in deep-CNN based classification of chest radiographs
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease prediction with deep convolution based modified extreme-random forest classifier
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease diagnosis and classification using data mining approaches – a comprehensive review
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: AIP Conference Proceedings
    Year: 2023.
  • Title: Highly Correlated Linear Discriminant Analysis for Dimensionality Reduction and Classification in Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: Lecture Notes in Networks and Systems
    Year: 2023.

Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

Dr. Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

Sandip Institute of Technology & Research Centre, Nashik, Maharashtra-India

Author Profile

🌱 Early Academic Pursuits

Dr. Ranjeet Pathak’s academic journey is a testament to his dedication and perseverance. Starting from a humble background, he displayed an early inclination towards science and technology. Completing his High School from National Inter College, Fatehpur, with an impressive 73.50%, and Intermediate from R.R. Inter College Hardoi with 63.40%, Dr. Pathak laid a solid foundation for his future endeavors.

He pursued a B.Tech in Electronics and Instrumentation at Skyline Institute of Engineering & Technology, affiliated with UPTU, Lucknow. Graduating in 2008 with 65.72%, he cultivated a keen interest in electronics and instrumentation systems. His thirst for advanced knowledge led him to pursue an M.Tech in Power Electronics & ASIC Design at the prestigious MNNIT, Allahabad, where he excelled with a 7.2 CPI.

Crowning his academic achievements, Dr. Pathak completed his Ph.D. in Electronics and Communication Engineering at Amity University, Lucknow, in 2024 with an impressive 8.00 SGPA. His doctoral work exemplifies his passion for innovative research in cutting-edge fields of engineering.


💼 Professional Endeavors

Dr. Pathak’s professional journey reflects his commitment to nurturing future engineers and advancing technological research.

  • He began his career as an Assistant Professor in the ECE Department at United Institute of Technology, Prayagraj, where he served from February 2010 to September 2022. During this tenure, he contributed to the academic growth of students, focusing on core electronics subjects.
  • Transitioning to the CSE Department at United College of Engineering and Research, Prayagraj, in 2022, he diversified his expertise by teaching advanced computing subjects. His tenure here lasted until July 2024.
  • Currently, Dr. Pathak is imparting knowledge and conducting research as an Assistant Professor in the E&TC Department at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, where he has been serving since October 2024.

🔬 Contributions and Research Focus

Dr. Pathak’s research interests span a wide array of interdisciplinary topics, including:

  • Deep Learning for Medical Data: His training with Finland Labs highlights his commitment to leveraging AI for healthcare.
  • Machine Learning with Python: Completing a course from IBM enhanced his skills in computational modeling, enabling him to contribute to AI-driven solutions in engineering.
  • Power Electronics & ASIC Design: His M.Tech specialization underscores his expertise in developing energy-efficient systems and specialized hardware designs.

His innovative research during his Ph.D. has paved the way for practical applications in electronics and communication, contributing to advancements in fields such as IoT, robotics, and signal processing.


🏆 Accolades and Recognition

Dr. Pathak’s dedication has earned him recognition as a versatile academic and researcher:

  • Successfully trained in Deep Learning for Medical Data, positioning him at the forefront of healthcare innovation.
  • Certification in Machine Learning with Python from IBM, showcasing his ability to implement AI-driven methodologies in solving complex problems.
  • His extensive teaching career spanning over a decade has earned him accolades from students and peers for his impactful mentorship.

🌟 Impact and Influence

Dr. Pathak’s teaching and research have influenced countless students, fostering their understanding of both theoretical and applied aspects of engineering. His ability to integrate emerging technologies into traditional engineering curricula ensures students are well-equipped to meet industry demands.

As a passionate educator, he has emphasized the importance of interdisciplinary learning, motivating students to explore fields such as artificial intelligence, renewable energy, and embedded systems.


🛠️ Legacy and Future Contributions

Looking ahead, Dr. Pathak envisions further expanding his contributions to academia and industry:

  • Pioneering Research: He aims to delve deeper into AI applications in electronics and renewable energy systems, addressing global challenges like sustainability and efficient energy utilization.
  • Mentorship: Dr. Pathak plans to mentor budding researchers, guiding them to make meaningful contributions in engineering and technology.
  • Collaborations: Establishing collaborations with international universities and research organizations, he seeks to create impactful projects that blend innovation with practical applications.

🌍 A Legacy of Excellence

Dr. Ranjeet Pathak’s journey from a determined student to a respected educator and researcher is an inspiration for aspiring engineers. His unwavering commitment to advancing knowledge and empowering students ensures his legacy will continue to inspire future generations. With his unique blend of expertise, passion, and vision, Dr. Pathak stands as a beacon of excellence in the field of engineering education.

🌟 “Engineering is not just a profession but a mission to innovate, educate, and transform lives.” 🌟

Citations

A total of 06 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        06
  • h-index          06
  • i10-index       02

Notable Publications 

  • Title: A Two-Stage Detection Methodology for Thyroid Cancer Using Photonic Crystal: Logistic Regression and Artificial Neural Networks
    Authors: Pathak, R.K., Mishra, S., Roy, S.K., Sharan, P.
    Journal: Optik, 2025.
  • Title: Design of Optical Sensor for Cancer Prognosis Prediction Using Artificial Intelligence
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Journal of Optics (India), 2024.
  • Title: Bragg Reflector One-Dimensional Multi-Layer Structure Sensor for the Detection of Thyroid Cancer Cells
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Telkomnika (Telecommunication Computing Electronics and Control), 2023.
  • Title: Investigation of a Superior Thermal Sensitivity FBG-Based Temperature Sensor with Metallic and Polymeric Coatings
    Authors: Deepa, N., Sharma, S., Sharan, P., Pathak, R.K.
    Conference: 2023 IEEE Workshop on Recent Advances in Photonics (WRAP 2023), 2023.
  • Title: Thyroid Cancer Detection Using Artificial Neural Network and Photonic Sensor
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Conference: 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2023), 2023.

Meena .K | Computer Science | Best Researcher Award

Prof. Meena .K | Computer Science | Best Researcher Award

GITAM Deemed to be University, India

Author Profile

Early Academic Pursuits 🌱📚

Prof. K. Meena’s academic journey began with a remarkable foundation in science and engineering. She displayed exceptional scholastic aptitude during her school years, achieving 91% in Higher Secondary School (HSC) at Mary Sargent Higher Secondary School, Palayamkottai, and 89% in SSLC at Government Higher Secondary School, Pettai. Her consistent excellence paved the way for her higher education pursuits.Her undergraduate studies culminated in a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Jeyamatha Engineering College, Tirunelveli, in 2002, where she graduated with an impressive 82.4% first class with distinction. Driven by a passion for computing, she pursued her Master of Engineering (M.E.) in Computer Science and Engineering at Manonmaniam Sundaranar University, achieving 83.4% first class with distinction in 2009.Prof. Meena’s academic pinnacle came with her Ph.D. in Computer Science and Engineering from the same university in 2014. Her research focused on “Face Recognition under Real-Time Challenges using Texture and Multiresolution Techniques,” a cutting-edge area in biometrics. 🌟


Professional Endeavors 💼🚀

Prof. Meena’s career reflects a steady progression through various academic and administrative roles. She began as a Lecturer at PSN College of Engineering and Technology (2005–2007), where she honed her teaching skills in the Department of Electronics and Communication Engineering.From 2007 to 2013, she served as an Assistant Professor and Head of the Department (HOD) at Sardar Raja College of Engineering, Alangulam. Her leadership skills became evident as she managed departmental activities and mentored students.She continued her role as HOD at J.P. College of Engineering, Alangulam (2013–2014), before transitioning to VV College of Engineering, Tisaiyanvilai, as an Assistant Professor in the Computer Science & Engineering (CSE) Department.In 2016, Prof. Meena joined Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, where she spent over six years as a Professor in CSE. She furthered her career at GITAM University, Bengaluru, first as an Associate Professor (2022–2023) and later as a Professor (2023–present) in the CSE Department. 🏫🎓


Contributions and Research Focus 🔬📖

With over 19 years of research experience, Prof. Meena’s work primarily spans biometrics, computer vision, machine learning, pattern recognition, and computer communication. Her Ph.D. research addressed real-world challenges in face recognition, employing innovative techniques that combined texture and multiresolution methods.Prof. Meena has published more than 80 research articles in reputed international and national journals and conferences. Of these, 19 papers are indexed in prestigious SCI journals, including IET Computer Vision, IETE Journal of Research, and Soft Computing. Her research contributions have significantly advanced areas such as sustainable computing, humanized computing, and medical systems.Her dedication to research is also evident in her guidance of four research scholars, fostering the next generation of innovators in her field. 🧑‍🎓✨


Accolades and Recognition 🏆🎖️

Prof. Meena’s reputation as a researcher and academician has garnered her numerous accolades. She serves as a reviewer for reputed journals, including publications by IET, Inderscience, and Springer.Her affiliations with professional bodies such as IEEE, CSI, ISTE, IAEST, IAENG, SAISE, and IACSIT highlight her commitment to staying at the forefront of technological advancements.


Impact and Influence 🌍🌟

Prof. Meena’s impact extends beyond her immediate academic circles. Her work in biometrics and computer vision contributes to global advancements in security, healthcare, and human-computer interaction. By integrating machine learning with practical applications, she addresses real-world challenges and inspires her peers and students.Her role as a professor and mentor has influenced countless students, instilling in them the skills and confidence to excel in the competitive field of computer science. 🎓💡


Legacy and Future Contributions 🔮🚀

As Prof. Meena continues her academic and research journey, her vision for the future involves exploring emerging areas such as artificial intelligence, deep learning, and sustainable computing. She aims to foster interdisciplinary research and contribute to innovations that address global challenges.Her legacy is built on a foundation of academic excellence, research innovation, and dedicated mentorship. With her unwavering commitment to education and technology, Prof. Meena is set to leave a lasting mark on the field of computer science and engineering. 💻🌐

Citations

A total of 738 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         738
  • h-index           13
  • i10-index        20

Notable Publications 

  • Title: A NLVFF-RLS approach to adaptive beamforming for wireless communication
    Authors: K. Meena, A.P. Kabilan
    Journal/Conference: 2008 International Conference on Computing, Communication and Networking
    Year: 2008.
  • Title: Retraction Note: Smart cataract detection system with bidirectional LSTM
    Authors: B.J.D. Kalyani, U. Hemavathi, K. Meena, B.S. Deepapriya, S. Syed
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Analysis of MRI brain tumor images using deep learning techniques
    Authors: B.J.D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction
    Authors: B.S. Deepapriya, P. Kumar, G. Nandakumar, S. Gnanavel, R. Padmanaban, et al.
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease
    Authors: K. Meena, A. Vadivel, P. Sumathy, A. Taha Zamani, S.M. Alanazi, N. Varish
    Journal: Soft Computing
    Year: 2024.

prabhu Sethuramalingam | Robotics | Best Researcher Award

Prof Dr. prabhu Sethuramalingam | Robotics | Best Researcher Award

SRM Institute of Science and Technology, India

Author Profile

Early Academic Pursuits 📘

Dr. Prabhu’s academic foundation is rooted in Mechanical Engineering, which he pursued with a B.E. degree from Karunya Institute of Technology, Bharathiar University, Coimbatore, Tamil Nadu, graduating in 1996 with an impressive project on heat transfer, “Design and Fabrication of Stefan Boltzmann Apparatus.” His academic journey continued with a Master’s degree in Production Engineering from Thiagarajar College of Engineering, Madurai Kamarajar University. Graduating in 2001 with a notable 80% aggregate, he completed a research project on “Evaluation of Circularity Error Using Convex Hull Approach.” This project was instrumental in establishing his analytical capabilities early in his career.With an affinity for innovative research, Dr. Prabhu earned his Ph.D. in Mechanical Engineering at SRM University, Chennai, in 2013. His thesis, “Investigations on the Surface Characteristics of Grinding and EDM Processes Using Carbon Nanotubes,” laid the groundwork for his specialization in nanotechnology applications in machining processes. His research represented pioneering work in enhancing surface characteristics with the application of CNTs, emphasizing his commitment to cutting-edge engineering solutions.

Professional Endeavors and Leadership Roles 🏢

Dr. Prabhu’s professional journey began in the industry as a Production Engineer at Muthukumar Engineering Works, where he worked for 3.5 years, gathering hands-on experience in real-world manufacturing environments. This industrial foundation enriched his later work in academia, enabling him to bridge practical engineering applications with advanced theoretical knowledge.In 2001, he transitioned to academia as a Lecturer in SRM University’s Mechanical Engineering Department. Over the years, he progressed through roles of increasing responsibility, from Senior Assistant Professor (SG) to Head of the Department (HoD). His tenure as HoD, from 2016 to 2020, was marked by significant departmental advancements in research, curriculum development, and student mentorship, especially in emerging technologies. Now, as a senior professor with over a decade of experience in this position, Dr. Prabhu continues to contribute to the field and inspire future engineers.

Research Focus: Nanotechnology and Advanced Manufacturing 🌐

Dr. Prabhu’s research interests are focused on nanotechnology, particularly Carbon Nanotube applications in grinding and Electric Discharge Machining (EDM). His pioneering work involves the use of CNTs to improve the durability, efficiency, and performance of manufacturing tools and surfaces. His research extends to silicon wafer machining, nano painting, functionally graded materials (FGMs), composite structures, and robotics integrated with machine learning.Under his mentorship, three Ph.D. scholars have completed their degrees, and he currently guides five more. His guidance has inspired research in CNT-based grinding tools, the application of nano-painting techniques, and even robotics. This research has yielded practical outcomes, including applications in manufacturing, automotive, and defense, underscoring his dedication to real-world applications of engineering science.

Contributions to Curriculum Development and Technological Integration 🖥️

As an academic leader, Dr. Prabhu’s contributions extend beyond research. He has been instrumental in the design and implementation of outcome-based education (OBE) frameworks at SRM, emphasizing student-centric learning. He has enriched SRM’s curriculum by integrating cutting-edge topics like neural networks, MATLAB programming, and machine learning into the mechanical engineering courses. His command over software such as MINITAB, FANUC, ANSYS, and his expertise in CNC programming have empowered students with practical knowledge and technical proficiency.

Accolades and Recognition 🎖️

Throughout his career, Dr. Prabhu has received numerous accolades that reflect his expertise and leadership. One of his most distinguished international appointments was serving as an External Examiner in the Department of Industrial and Manufacturing Engineering at Harare Institute of Technology in Zimbabwe. This role highlights his standing as a global expert in mechanical engineering and his dedication to sharing knowledge beyond national boundaries.

Impact and Influence on Students and Research Communities 🌱

Dr. Prabhu has played a crucial role in shaping the academic and professional lives of countless students. Known for his deep understanding of robotic programming and fuzzy logic, he has mentored several student-led projects that incorporate real-world problem-solving using nanotechnology and robotics. His research projects have also explored machine learning techniques to optimize manufacturing processes, bridging the gap between mechanical engineering and artificial intelligence. His contributions to the research community include numerous publications in high-impact journals, contributing to advancements in carbon nanotube applications and green composite materials.

Legacy and Future Contributions 🌍

Looking ahead, Dr. Prabhu’s influence in mechanical engineering is poised to grow as he continues to guide research in sustainable materials, nanotechnology, and intelligent systems. His ongoing work in CNT applications and robotics opens up new avenues for eco-friendly manufacturing solutions, promising benefits for both industry and the environment. By guiding students and researchers in emerging fields, Dr. Prabhu is laying the foundation for the next generation of engineers who will pioneer sustainable technologies and innovations.In summary, Dr. S. Prabhu’s career is an inspiring blend of academic achievement, research innovation, and impactful mentorship. His dedication to the development of nanotechnology, his leadership in academia, and his commitment to student success have left an indelible mark on the field of mechanical engineering. His journey continues to reflect a passion for engineering and innovation that will inspire future engineers and contribute to a greener, more technologically advanced world.

Citations

A total of 1041 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1041
  • h-index           111
  • i10-index        19

Notable Publications 

  • Title: Jute/basalt fabrics in microcellulosic-filled epoxy composites for lightweight applications
    Authors: Reddy, M.I., Sethuramalingam, P., Sahu, R.K., Rama Raju, K.S.
    Journal: Materials Chemistry and Physics
    Year: 2024.
  • Title: Design optimisation and an experimental assessment of soft actuator for robotic grasping
    Authors: Sut, D.J., Sethuramalingam, P.
    Journal: International Journal of Intelligent Robotics and Applications
    Year: 2024.
  • Title: Design and development of universal soft robotic end effector through machine learning on the IRB 360 robot
    Authors: Sethuramalingam, P., Uma, M., Darshan, V., Sumesh, K.S.
    Journal: International Journal of Intelligent Robotics and Applications
    Year: 2024.
  • Title: ANFIS prediction modeling of surface roughness and cutting force of titanium alloy ground with carbon nanotube grinding wheel
    Authors: Stephen, D.S., Sethuramalingam, P.
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design
    Year: 2024.
  • Title: Development of rapidly exploring random tree based autonomous mobile robot navigation and velocity predictions using K-nearest neighbors with fuzzy logic analysis
    Authors: Vignesh, C., Uma, M., Sethuramalingam, P.
    Journal: International Journal on Interactive Design and Manufacturing
    Year: 2024.

Sampathkumar.J | Machine Learning | Young Scientist Award

Dr. Sampathkumar.J | Machine Learning | Young Scientist Award

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

J. Sampathkumar’s academic journey began with a solid foundation in technical and general education. He completed his Secondary School Leaving Certificate (SSLC) in 1995 from Nirmala Hr. Sec. School, Kolathur, achieving a commendable score of 64%. This was followed by his Higher Secondary Leaving Certificate (HSLC) in 1997 from Municipal Boys Hr. Sec. School, Palani, where he secured 70%, demonstrating his early inclination towards academics.Driven by a passion for technology, he pursued a Diploma in Electrical and Electronics Engineering (DEIE) from Salem Polytechnic College in 2000, achieving an impressive 81%, which laid the foundation for his engineering aspirations. To further strengthen his knowledge, he earned a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (ECE) in 2005 from Paavai Engineering College, Namakkal, affiliated with Anna University, where he excelled with a score of 73%. Alongside, he also completed a Bachelor of Computer Applications (BCA) from IGNOU, achieving 61%, showcasing his versatility and commitment to a multidisciplinary education.To diversify his skillset, Sampathkumar pursued an MBA in 2011 via distance education from Madras University, scoring 62%. He further specialized by completing a Master of Engineering (M.E.) in Power Electronics and Drives (PED) in 2013 from Dr. Nagarathinam’s College of Engineering, Mallur, affiliated with Anna University, attaining 68%.


Professional Endeavors 💼🚀

Sampathkumar’s career spans a wide array of roles across various industries, reflecting his adaptability and dedication to professional excellence. He began as a Junior Executive at Right Biz Technologies India Pvt. Ltd., Chennai, in 2006, where he honed his skills in XML-based webpage designing. Transitioning into quality assurance, he worked as a QA Engineer with e-Microdot Solutions Pvt. Ltd., Bangalore (2007) and Pious Infotech Pvt. Ltd., Bangalore (2008–2009), contributing significantly to software testing and quality control.Shifting gears, he took on administrative roles at Nandhi Dall Mills, Salem (2009–2010), and Jaisri Designs, Salem (2010). These positions underscored his organizational skills and ability to manage operational complexities. His transition to academia marked a turning point in his career. From 2010 to 2012, he served as a Lecturer at the Government College of Engineering, Salem, before joining Mahendra College of Engineering, Salem, in 2012 as an Assistant Professor, a role he continues to excel in.


Contributions and Research Focus 🔍📈

As an educator and researcher, Sampathkumar has demonstrated unwavering dedication to empowering students with knowledge and fostering innovation. His teaching methodologies combine theoretical insights with practical applications, particularly in Power Electronics and Drives (PED), a field in which he holds a master’s degree. His research interests include electronic circuit design, sustainable power systems, and engineering education methodologies, aiming to contribute to the advancement of technology for societal benefit.Through active engagement in academic activities, Sampathkumar has guided numerous students in their project work and has participated in departmental initiatives to enhance the quality of education. His efforts in bridging the gap between industry practices and academic knowledge have been instrumental in preparing students for professional challenges.


Accolades and Recognition 🏆✨

Sampathkumar’s career is adorned with milestones that reflect his professional competence and dedication. While working across various organizations, he was recognized for his meticulous work ethic and problem-solving skills. His transition to academia brought additional accolades for his teaching excellence and ability to inspire students. As a respected faculty member at Mahendra College of Engineering, he is appreciated for his contributions to student development and curriculum enhancement.


Impact and Influence 🌟📖

In his capacity as an Assistant Professor, Sampathkumar has played a vital role in shaping the minds of future engineers. His multidisciplinary background enables him to provide a holistic learning experience, encouraging students to think critically and innovate. His administrative experience further allows him to contribute to the efficient functioning of academic institutions, ensuring the delivery of quality education.


Legacy and Future Contributions 🌍🔮

Looking ahead, Sampathkumar aspires to expand his impact on engineering education and research. By staying abreast of technological advancements and integrating emerging tools into his teaching, he envisions creating a more robust and dynamic learning environment. He also plans to engage in collaborative research to address pressing global challenges in the fields of energy systems and sustainable development.Sampathkumar’s dedication to continuous learning and sharing knowledge serves as an inspiration to students and colleagues alike. His enduring contributions to academia and industry are a testament to his commitment to excellence and innovation, leaving a lasting legacy for generations to come. 🌟

Notable Publications

  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: DJ Sampathkumar, S. Saran, P. Gokul, N. Gowtham
    • Conference: 6th International Conference on Recent Innovations in Science and Technology
    • Year: 2024.
  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: MSP Dr. J. Sampathkumar, Mr. S. Saran, Mr. P. Gokul, Mr. N. Gowtham
    • Journal: International Journal of Innovative Research in Technology, Volume 10, Issue 12, Pages 198-202
    • Year: 2024.
  • Online Physio Therapy System Using the IoT and Human Gaits Analysis
    • Authors: DJR Dr. J. Sampathkumar
    • Journal: International Journal of Research and Analytical Reviews (IJRAR), Volume 10, Issue 3, Pages 950-957
    • Year: 2023.
  • HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks
    • Authors: J. Sampathkumar, N. Malmurugan
    • Journal: Computers, Materials & Continua, Volume 71, Issue 2, Pages 2107-2123
    • Year: 2022.
  • 3-D Based Brain Tumor Detection Using (DL) Deep Learning and Image Processing Approach
    • Authors: Mr. J. Sampathkumar, Dr. M. Suganthi, Mr. D. Balaji
    • Patent: IN Patent 202141060315
    • Year: 2021.

Dr. Vivek Arya | Engineering | Best Researcher Award

Assoc Prof Dr. Dr. Vivek Arya | Engineering | Best Researcher Award

Chandigarh University Punjab, India

Author Profile

Early Academic Pursuits 📚

Dr. Vivek Arya embarked on his academic journey with a focus on Electronics and Communication Engineering (ECE), an area in which he has not only excelled but also contributed significantly to the field. After completing his schooling, he pursued a Bachelor of Technology (B.Tech) in Electronics and Communication Engineering at F.E.T., GKV Haridwar, where he laid the foundation for his technical expertise. Graduating in 2010 with a commendable 68.49%, Dr. Arya’s thirst for knowledge did not stop there. He further advanced his studies by pursuing a Master of Technology (M.Tech) in Electronics and Communication Engineering at Amity University, Gurugram. Here, his academic brilliance shone through as he secured the Gold Medal with an impressive 89.4% and ranked first in his cohort. 🏅This was followed by his research endeavors leading to a Doctorate in the same field. Dr. Arya earned his Ph.D. in 2023 from the Faculty of Engineering and Technology (F.E.T.) at GKV Haridwar, marking a significant milestone in his career. His doctoral research, which received recognition for its quality and depth, solidified his position as an emerging expert in his field. He also successfully cleared the UGC NET in Electronics Science in June 2014, further affirming his academic prowess. 🔬

Professional Endeavors 👨‍🏫

Dr. Arya’s professional journey is defined by his roles as an educator, mentor, and researcher. His academic qualifications have allowed him to take on various significant roles in the educational sector. As a faculty member, Dr. Arya has shared his deep knowledge and expertise in Electronics and Communication Engineering with the next generation of engineers and researchers. His passion for teaching and his dedication to fostering student success has made him a respected figure at his academic institution. 💼Dr. Arya’s focus on continuous improvement and excellence in teaching has helped bridge the gap between theoretical learning and practical applications. As a mentor, he has encouraged his students to pursue innovative research projects and take bold steps toward real-world problem-solving. His role has extended beyond just imparting knowledge; he has instilled a spirit of curiosity and critical thinking in his students. 🌟

Contributions and Research Focus 🧠

Dr. Arya’s research contributions lie primarily in the Electronics and Communication domain, with a special focus on innovative systems and technologies that drive the modern world. His work has explored numerous areas including signal processing, communication systems, and network security, aiming to optimize and develop more efficient solutions for complex problems.His research not only includes theoretical analysis but also practical implementations that enhance system reliability and efficiency. Through his publications, Dr. Arya has made significant strides in communications technologies and has contributed to making these systems more robust and adaptive in a rapidly evolving technological landscape. As a result, his work has implications for industries ranging from telecommunications to defense systems. 📡Dr. Arya’s Ph.D. research further extended his contributions, where he worked on cutting-edge topics that bridge gaps in existing technologies. His doctoral thesis was met with praise for its originality and practical applications in communication systems. This research is expected to influence the development of next-generation communication technologies, positioning Dr. Arya as a thought leader in his field.

Accolades and Recognition 🏆

Dr. Arya’s academic excellence has earned him multiple accolades throughout his educational and professional journey. The most prominent of these was the Gold Medal for his outstanding performance in the M.Tech. program, securing first place among his peers. This recognition highlights his relentless pursuit of academic excellence.His Ph.D. dissertation has also been well-received by scholars and practitioners, underlining his ability to tackle complex issues in electronics and communication engineering. Being recognized by the UGC NET further solidified his reputation as an expert in the field. These awards and recognitions stand testament to Dr. Arya’s commitment to pushing the boundaries of knowledge and contributing meaningfully to the academic community. 🥇

Impact and Influence 🌍

Dr. Arya’s influence extends far beyond the classroom. His research has had a direct impact on engineering practices, especially in areas like communication systems, signal processing, and electronic circuit design. His work has helped shape industry standards and influenced the way future technologies will be developed and implemented.Dr. Arya’s teaching and research methodologies have left a lasting impact on his students, many of whom have gone on to achieve success in the industry and academia. He continues to inspire a new generation of engineers with his passion for technology, his thirst for knowledge, and his unwavering commitment to excellence.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Arya is poised to make even greater contributions to the world of electronics and communication. With his extensive academic and professional experience, he is set to engage in more innovative research and collaborations that aim to solve complex global challenges. His future work will likely involve advancements in wireless communication, 5G networks, and advanced signal processing techniques. Dr. Arya’s legacy will be defined not only by his technical achievements but by his ability to inspire and lead the next generation of engineers toward creating impactful solutions for society. 🌐Through his research, teaching, and mentorship, Dr. Vivek Arya is creating a strong foundation for the future of Electronics and Communication Engineering. As a thought leader, his journey is only just beginning, and the best is yet to come.

Citations

A total of 283 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         283
  • h-index           38
  • i10-index        11

Notable Publications 

  • A novel broadband and high-gain compact annular ring microstrip antenna for satellite applications
    • Authors: Arya, V., Garg, T.
    • Journal: Frequenz
    • Year: 2024.
  • Realization of high-speed OWC links by incorporating hybrid OCDMA and MDM scheme for HAP-to-satellite applications
    • Authors: Kumari, M., Arya, V.
    • Journal: Optical and Quantum Electronics
    • Year: 2024.
  • Wheel-based 5G fronthaul/backhaul hybrid MDM-NGPON/FSO system under Gamma-Gamma turbulence and weather effects
    • Authors: Kumari, M., Arya, V.
    • Journal: International Journal of Communication Systems
    • Year: 2024.
  • Historical development of passive optical network (PON): A review
    • Authors: Arya, V., Kumari, M., Rana, A.K.
    • Journal: Journal of Optical Communications
    • Year: 2024.
  • Realization of 4 × 10 Gbps FSO-WDM System Incorporating Flattening Filter
    • Authors: Arya, V., Kumari, M., Singh, A., Kisku, A.
    • Conference: Proceedings of International Conference on Communication, Computer Sciences, and Engineering (IC3SE)
    • Year: 2024.