Chander Prabha | Computer Science | Research Excellence Award

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Prof Dr. Chander Prabha | Computer Science | Research Excellence Award

Chitkara University, Punjab- India.

Author Profile

Early Academic Pursuits 🎓

Dr. Chander Prabha’s academic journey began with a keen interest in Computer Science, which led him to pursue a B.Tech in Computer Science & Engineering from Maharishi Markendeshwar Engineering College, Mullana, Ambala (1998-2002), affiliated with Kurukshetra University. His foundational education set the stage for an illustrious career in academia and research. Dr. Prabha further honed his skills by obtaining a Master’s degree in Computer Science & Engineering from the prestigious Punjab Engineering College, Chandigarh, from 2002 to 2004, under Punjab University. His passion for advancing knowledge in the field culminated in his Ph.D. in Computer Science & Engineering from M.M. University, Ambala in 2018, solidifying his expertise in the domain.

Professional Endeavors and Academic Contributions 📚

Dr. Prabha’s professional experience spans 18 years and is marked by significant leadership roles and academic contributions. He currently serves as a Professor at the Department of Computer Science & Engineering (DCSE) at Chitkara University, Punjab, since March 2022. Prior to this, he held the position of Professor in CSE at Chandigarh University, Mohali, from October 2019 to February 2022. During his tenure at Chandigarh University, he was entrusted with additional responsibilities such as Academic Coordinator for the 2nd Year and University Cluster MOOC Coordinator, demonstrating his leadership and organizational skills.

Dr. Prabha’s experience as Principal and Dean Academics at Ram Devi Jindal Group of Professional Institutions, affiliated with Punjab Technical University (PTU), Jalandhar, from February 2017 to October 2019, marked a pivotal chapter in his career. Here, he played an instrumental role in shaping the academic direction of the institution. Earlier in his career, Dr. Prabha held significant academic positions, including Associate Professor (CSE) and Academic Coordinator at Chandigarh Group of Colleges, Jhanjeri, Mohali (2014-2017), and Assistant Professor and Head of Information Technology at SDDIET, Barwala, Panchkula (2007-2014).

Contributions and Research Focus 🔬

Dr. Prabha’s research interests lie at the intersection of Computer Science, Technology Transfer, and Intellectual Property Management. He is deeply committed to the advancement of knowledge in Computer Science and Engineering through various research initiatives and publications. His research contributions are aimed at improving the educational landscape in the field of CSE, especially in terms of technology integration and knowledge dissemination.

A notable initiative under his leadership was the 5-Day Faculty Development Program on “Unlocking Potential: Maximizing Impact via Technology Transfer, Publications, Consultancies & Intellectual Property Management”, which was held in January 2024 at Chitkara University in collaboration with CURIN (Chitkara University Research and Innovation Network). This program was a testament to Dr. Prabha’s dedication to empowering faculty members with the latest tools and knowledge to enhance their academic and research capabilities.

Accolades and Recognition 🏅

Dr. Prabha’s exceptional teaching and administrative abilities have earned him numerous accolades. His commitment to academic excellence has been consistently recognized by his peers and institutions. He was honored with a Letter of Appreciation for his remarkable ability to achieve excellent results in his academic endeavors. His proficiency in leadership, teaching, and research management has made him a respected figure in the academic community.

Impact and Influence 🌍

Dr. Chander Prabha’s contributions extend beyond the classroom and research labs. Through his leadership roles, he has played a crucial part in shaping academic policies and structures that foster the growth of students and faculty alike. His efforts in establishing effective educational frameworks have had a lasting impact on the institutions where he has served. As a mentor, he has guided countless students and colleagues toward academic and professional success, leaving a positive influence on the next generation of Computer Science professionals.

Dr. Prabha’s involvement in technology transfer and intellectual property management is particularly noteworthy. By fostering a culture of innovation, he has helped bridge the gap between academic research and real-world applications, ensuring that cutting-edge knowledge translates into practical solutions.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Prabha is poised to continue making significant contributions to the Computer Science & Engineering field. His forward-thinking approach to technology transfer, research management, and academic leadership positions him as a key figure in shaping the future of higher education. Dr. Prabha’s legacy will undoubtedly inspire future generations of academics, researchers, and professionals to pursue excellence and contribute meaningfully to the evolving world of technology and education.

In conclusion, Dr. Chander Prabha’s early academic pursuits, professional experience, research contributions, and leadership have not only shaped his career but also left an indelible mark on the academic community. His ongoing work in education, research, and technology transfer continues to inspire and drive meaningful change, making him a respected leader and a mentor to many. 🌱

Citations

A total of 397 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        397
  • h-index          101
  • i10-index         10

Notable Publications 

  • Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning
    Author: Dr. Chander Prabha
    Journal: IEEE Access
    Year: 2025.

  • Advanced Beamforming and Reflection Control in Intelligent Reflecting Surfaces with Integrated Channel Estimation
    Author: Dr. Chander Prabha
    Journal: IET Microwaves, Antennas & Propagation
    Year: 2024-12-07

  • Optimized Technique for Speaker Changes Detection in Multispeaker Audio Recording Using Pyknogram and Efficient Distance Metric
    Author: Dr. Chander Prabha
    Journal: PLOS ONE
    Year: 2024-11-20

  • Effect of Load and Routing Protocols on Networks on Chip (NoC): An Analysis
    Author: Dr. Chander Prabha
    Journal: Journal of Computer Science
    Year: 2024-11-01

  • Comparative Analysis of Frequently Used E-learning Platforms
    Author: Dr. Chander Prabha
    Journal: Frontiers in Education
    Year: 2024-10-18

Ashish Raj | Decision Sciences | Best Research Award

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Mr. Ashish Raj | Decision Sciences | Best Research Award

Indian Institute of Management, Mumbai, India

Author Profile

Early Academic Pursuits 🎓

Ashish Raj’s academic journey is marked by a consistent quest for excellence and an eagerness to explore multiple disciplines. His academic story began with a strong foundation in his early education, where he achieved remarkable success in both the 10th and 12th grades. With an outstanding score of 85.40% in his ICSE examinations at St. Xavier’s High School, Patna, and 77.40% in his CBSE 12th grade exams from Loyola Senior Secondary School, Patna, Ashish demonstrated not only intelligence but also a keen understanding of his subjects.

His passion for engineering was evident as he pursued a Bachelor’s degree in Civil Engineering at Birla Institute of Technology (BIT) Mesra. There, Ashish excelled with a commendable 74% and distinguished himself both academically and in extracurricular activities. His participation in technical fests and his involvement in the National Service Scheme (NSS) provided a well-rounded experience, setting the stage for his future endeavors. His academic performance, combined with his leadership skills, solidified his position as a promising student.

Professional Endeavors and Contributions 💼

Ashish’s transition into the professional sphere was seamless, as he chose to further deepen his knowledge by pursuing a Master’s degree in Structural Engineering at the prestigious Indian Institute of Technology, Varanasi (IIT BHU). During his M.Tech, he developed a nuanced understanding of Civil Engineering’s technical aspects, which paved the way for his specialization in Operations and Supply Chain Management. At IIT BHU, Ashish’s academic rigor and dedication were reflected in his high distinction of 8.0/10, which speaks volumes about his technical expertise and determination.

Upon completion of his M.Tech, Ashish chose to expand his horizons by focusing on Operations and Supply Chain Management, an area that marries his engineering background with his analytical and problem-solving skills. His decision to pursue a Ph.D. in this field at the Indian Institute of Management (IIM) Mumbai reflects his growing ambition and desire to contribute significantly to the field of management and research.

Research Focus and Impact 🔬

Ashish Raj’s primary research focus revolves around Operations and Supply Chain Management, a domain that has become increasingly critical in today’s globalized economy. His doctoral research at IIM Mumbai examines innovative strategies to optimize supply chains, incorporating the latest technological advancements and management theories. His work aims to provide impactful insights into improving efficiency, reducing costs, and enhancing the sustainability of supply chains in various industries.

In addition to his academic pursuits, Ashish has consistently explored the intersection of engineering and management, demonstrating his interdisciplinary approach to problem-solving. His comprehensive understanding of structural engineering combined with supply chain dynamics gives him a unique perspective to tackle complex real-world issues.

Accolades and Recognition 🏅

Throughout his academic career, Ashish has been recognized for his dedication, intellectual curiosity, and leadership skills. His academic excellence in both undergraduate and postgraduate studies earned him recognition among his peers and faculty. At IIT BHU, his research on Structural Engineering earned him accolades, with professors praising his meticulous approach to complex engineering problems. His Ph.D. research at IIM Mumbai is also making waves in the academic community, where his findings have the potential to influence real-world supply chain practices.

Impact and Influence 🌍

Ashish Raj’s influence extends beyond just academic research. As a scholar, he actively contributes to his community by participating in various academic forums, conferences, and seminars. His work has inspired other students and budding researchers to explore the realms of Operations and Supply Chain Management and its relevance in contemporary industries. His interdisciplinary approach, blending Civil Engineering with business and management principles, has enabled him to provide valuable insights that have the potential to transform industries.

Moreover, his contributions to the technical fests, NSS activities, and his involvement with academic groups have positively impacted the community at BIT Mesra and IIT BHU, fostering a spirit of collaboration and academic excellence.

Legacy and Future Contributions ✨

Ashish Raj’s legacy is one of continuous learning and pursuit of excellence. As he progresses with his Ph.D., his research will undoubtedly have lasting effects in the fields of Operations and Supply Chain Management. The tools and frameworks he is developing could prove pivotal in transforming industries by optimizing logistics, enhancing customer service, and ensuring sustainability across supply chains.

Looking ahead, Ashish is determined to make significant contributions to the academic world. His vision includes not only publishing influential research but also mentoring future generations of scientists, engineers, and business leaders. Ashish’s academic journey and his passion for interdisciplinary research make him a role model for aspiring students who wish to bridge the gap between engineering and management, ultimately creating a sustainable and innovative future. His commitment to contributing meaningfully to the academic community and beyond will continue to inspire both his peers and the next generation of researchers.

In summary, Ashish Raj’s journey has been one of continual growth, where his curiosity and dedication have guided him to become a promising researcher with a bright future. With a passion for solving complex problems and a deep commitment to learning, he is poised to make lasting contributions in both academia and industry.

Shahid Mohammad Ganie | Computer Science | Best Researcher Award

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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.

Sivakumar. S | Electronics Engineering | Best Researcher Award

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Prof. Dr. Sivakumar. S | Electronics Engineering | Best Researcher Award

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India

Author Profile

🌱 Early Academic Pursuits

Dr. S. Sivakumar embarked on his academic journey with a focus on Electrical and Electronics Engineering, demonstrating a passion for understanding and innovating in this critical field. He completed his Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from V.R.S College of Engineering, affiliated with Anna University, in 2007. Despite the challenges, his unwavering dedication led him to achieve a solid foundation in electrical systems with a graduation score of 66%.

Driven to further enhance his knowledge, he pursued a Master of Engineering (M.E.) in Embedded Systems Technologies at Vel Tech Engineering College, affiliated with Anna University, completing it in 2009 with an impressive 74%. This specialization enabled him to explore the convergence of hardware and software systems, laying the groundwork for his future research endeavors.

His academic pursuits culminated with a Ph.D. in Electrical and Electronics Engineering from the renowned Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology in Chennai. He completed his doctorate in September 2021, focusing on cutting-edge research to address challenges in electrical and electronics engineering. 📘🎓

🧑‍🏫 Professional Endeavors

With over 15 years of teaching experience, Dr. Sivakumar has been a cornerstone of the Department of Electrical and Electronics Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology since July 2009. His role as a professor has been marked by a deep commitment to nurturing young engineers, fostering innovation, and bridging the gap between theoretical knowledge and practical applications.

His dedication to the institution and students has solidified his reputation as an effective educator and mentor. Through his teaching, he equips students with not only technical knowledge but also problem-solving skills and a willingness to tackle real-world challenges. ✨📚

🔬 Contributions and Research Focus

Dr. Sivakumar’s research interests lie in Electrical and Electronics Engineering, with a particular focus on embedded systems, a domain that integrates software and hardware design for real-time applications. His Ph.D. work embodies his dedication to solving practical challenges in the field, contributing to advancements in electrical systems and embedded technologies.

Beyond his doctoral research, he actively explores innovations in:

  • Renewable Energy Systems: Developing sustainable and efficient energy solutions.
  • Embedded Systems Applications: Enhancing performance and reliability of automated systems.
  • Electrical System Optimization: Improving the design and operation of electrical grids and devices.

His commitment to advancing these fields demonstrates his focus on blending academic research with industrial applications to create meaningful impact. 🔋📈

🏆 Accolades and Recognition

Dr. Sivakumar’s extensive teaching career and dedication to research have earned him recognition and respect within the academic community. Key highlights of his achievements include:

  • Successfully mentoring students for over 15 years, inspiring the next generation of engineers.
  • Contributing to the reputation of Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology as a hub for excellence in engineering education.
  • Consistently demonstrating problem-solving abilities and the willingness to learn, which have become hallmarks of his professional persona.
  • Being appreciated for his diplomatic approach to teamwork, making him an effective leader and facilitator. 🌟👏

🌍 Impact and Influence

Dr. Sivakumar has made a lasting impact on both his students and the broader field of electrical engineering. His expertise in Embedded Systems and Electrical Engineering has translated into tangible benefits for his students, who carry forward his teachings into their professional lives.

Moreover, his emphasis on practical applications ensures that his research contributes to technological advancements that address real-world challenges. By inspiring a collaborative learning environment, he has established himself as a pivotal figure in fostering innovation and teamwork. 🌍🤝

🌟 Legacy and Future Contributions

Looking ahead, Dr. Sivakumar aims to continue pushing the boundaries of research in Embedded Systems and Renewable Energy Technologies. He envisions making significant contributions to the development of sustainable energy solutions and smarter embedded systems that can transform industries.

His legacy as an educator and researcher is built on a foundation of dedication, innovation, and an unwavering commitment to excellence. By nurturing future engineers and contributing to groundbreaking research, Dr. Sivakumar ensures that his influence will resonate for generations to come. ✨📖

Dr. S. Sivakumar’s remarkable journey exemplifies how passion, persistence, and innovation can drive meaningful contributions to academia and society. His impact extends beyond the classroom, shaping the future of technology and inspiring countless students and professionals. 🚀📚

Notable Publications 

  • Title: Gaussian filter and CNN based framework for accurate detection of brain tumor by analyzing MRI images
    Authors: S. Sivakumar, P. Chaudhari, S. Thatavarti, G. Sucharitha, B. Mahesh, …
    Journal: Bulletin of Electrical Engineering and Informatics
    Year: 2024.
  • Title: Switching loss and temperature analysis of MPWM controller for solar PV inverter
    Authors: H.R. Panneerselvam Sivaraj, Kandasamy Karunanithi, Sivakumar S, N. Vignesh, …
    Journal: International Journal of Power Electronics and Drive Systems
    Year: 2024.
  • Title: Real-time smart vehicle-to-vehicle communication system for dynamic energy providers using distributed transformer-based V2V communication protocol
    Authors: T.C. Parveen Shahana, Sivakumar S
    Journal: 1st International Conference on Materials, Analysis, and Advanced Technologies
    Year: 2024.
  • Title: Mask FORD-NET: Efficient Detection of Digital Image Forgery using Hybrid REG-NET based Mask-RCNN
    Authors: P. Whitin, S. Sivakumar, M. Geetha, M. Devaki, A. Bhuvanesh, …
    Journal: International Journal of Electrical and Computer Engineering Systems
    Year: 2024.
  • Title: A Deep Learning Approach for Sustainable and Secure Operations of Cloud Data Centres for Optimising the Energy Efficiency
    Authors: K. Sathish, H. Arya, S. Kaliappan, S. Sivakumar, A.K. Arigela, R. Venkatesh
    Journal: 2024 International Conference on Expert Clouds and Applications (ICOECA)
    Year: 2024.

Anushka Joshi | Data Science | Best Researcher Award

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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.

Ramesh Kandala | Mathematics | Best Researcher Award

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Dr. Ramesh Kandala | Mathematics | Best Researcher Award

Anurag University, India

Author Profile

Early Academic Pursuits 🎓

Dr. Ramesh Kandala’s academic journey began with a strong foundation in the sciences, rooted in his interest in mathematics, physics, and chemistry. He completed his B.Sc. in 2001 at Kakatiya University, Warangal, India, with a focus on Mathematics, Physics, and Chemistry, paving the way for his academic excellence in the following years. Dr. Kandala’s passion for applied mathematics led him to pursue a Master’s degree in Applied Mathematics at the National Institute of Technology, Warangal in 2003, where he honed his analytical skills and deepened his understanding of complex mathematical theories.

His thirst for knowledge and intellectual curiosity culminated in a Ph.D. from Osmania University, Hyderabad, India, in December 2013. His doctoral research focused on the Three Body Scattering Problem, a critical area in applied mathematics, where he applied mathematical models to solve complex problems in theoretical physics. This phase of his academic life demonstrated his exceptional ability to tackle challenging mathematical phenomena and laid the groundwork for his future contributions to the field.

Professional Endeavors 🏫

Dr. Ramesh Kandala’s professional career reflects his deep commitment to the advancement of education and research. He began his career as an Assistant Professor at Anurag Group of Institutions, where he served for five years, from 2003 to 2007. During this tenure, he played a pivotal role in imparting knowledge in applied mathematics and other technical subjects to undergraduate students.

In 2007, Dr. Kandala transitioned to the corporate world as a Senior Actuarial Analyst at Cognizant Technology Services in Hyderabad. His experience at Cognizant allowed him to apply his mathematical expertise to real-world problems, particularly in the domain of actuarial analysis, which involves statistical methods to assess risk and uncertainty in insurance, finance, and other sectors. His ability to bridge the gap between theory and practice was recognized by his peers, and he contributed significantly to the company’s success for nearly a decade.

In 2016, Dr. Kandala returned to academia as an Associate Professor at Vignan Institute of Technology, where he taught for two years before moving to Anurag University in 2018. Since then, he has been an integral part of the academic team, guiding students and nurturing their potential in the field of applied mathematics. His current role enables him to share his knowledge while staying updated on emerging mathematical concepts and their application in various fields.

Contributions and Research Focus 🔬

Dr. Kandala’s research has primarily focused on applied mathematics, with particular attention given to solving complex theoretical problems. His doctoral research on the Three Body Scattering Problem is a testament to his ability to work on abstract mathematical concepts and translate them into practical solutions. He continues to explore areas in applied mathematics, computational techniques, and their real-world applications in fields such as physics, engineering, and actuarial science.

Additionally, his proficiency in MATLAB and SAS enables him to effectively model and simulate mathematical problems, enhancing his research’s impact and practical utility. Dr. Kandala has made valuable contributions to the academic community by publishing research papers and presenting at conferences, further establishing his reputation as a thought leader in applied mathematics.

Accolades and Recognition 🏆

Dr. Kandala’s academic excellence and contributions have not gone unnoticed. He has earned the distinction of being a Top 2% Scientist by Stanford University in 2023 and 2024, a remarkable achievement that speaks volumes about his expertise and dedication. His recognition highlights his influence in the realm of applied mathematics and his role in shaping future generations of mathematicians and engineers.

His career, both in academia and industry, reflects his ability to adapt to different environments and make meaningful contributions. Dr. Kandala’s work has earned the respect and admiration of his colleagues and students, and his achievements continue to serve as an inspiration.

Impact and Influence 🌍

Dr. Ramesh Kandala has had a profound impact on the institutions he has worked with, particularly Anurag University, where his mentorship and teaching have shaped the academic trajectory of many students. His passion for applied mathematics and his experience in actuarial analysis have provided students with valuable insights into real-world applications of mathematical concepts.

In his capacity as an Associate Professor, he has actively participated in curriculum development, ensuring that students are well-equipped with the necessary skills for their future careers. Dr. Kandala’s teaching methodology combines theoretical learning with practical problem-solving, preparing students to tackle challenges in their professional lives.

Legacy and Future Contributions 🌱

As Dr. Kandala continues his journey at Anurag University, his legacy is one of resilience, academic rigor, and mentorship. His research, particularly in applied mathematics, has laid the foundation for future advancements in areas such as computational modeling and actuarial science. Looking ahead, Dr. Kandala aims to further contribute to the academic community by expanding his research into mathematical modeling, machine learning, and data analytics, areas that have vast potential in various industries.

His future contributions are expected to continue inspiring the next generation of mathematicians, engineers, and researchers. With his ongoing commitment to teaching, research, and community service, Dr. Kandala’s influence will undoubtedly continue to grow, leaving a lasting impact on both academia and the industry.

Citations

A total of 21 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        21
  • h-index          17
  • i10-index       03

Notable Publications 

  • On the stability of a Caputo fractional order predator-prey framework including Holling type-II functional response along with nonlinear harvesting in predator
    • Authors: Venkataiah, K., Ramesh, K.
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024.
  • Bazykin’s Predator–Prey Model Includes a Dynamical Analysis of a Caputo Fractional Order Delay Fear and the Effect of the Population-Based Mortality Rate on the Growth of Predators
    • Authors: Kumar, G.R., Ramesh, K., Khan, A., Lakshminarayan, K., Abdeljawad, T.
    • Journal: Qualitative Theory of Dynamical Systems
    • Year: 2024.
  • Dynamics of an SEIR epidemic model with saturated incidence rate including stochastic influence
    • Authors: Kumar, G.R., Ramesh, K., Nisar, K.S.
    • Journal: Computational Methods for Differential Equations
    • Year: 2024.
  • Dynamical study of fractional order Leslie-Gower model of predator-prey with fear, Allee effect, and inter-species rivalry
    • Authors: Ranjith Kumar, G., Ramesh, K., Khan, A., Lakshminarayan, K., Abdeljawad, T.
    • Journal: Results in Control and Optimization
    • Year: 2024.
  • Numerical Solution of Darcy-Forchheimer Casson Nanofluid Flows with Joule Heating and Radiation
    • Authors: Rajeshwai, T., Kune, R., Sabawat, H.S.N.
    • Journal: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
    • Year: 2024.

SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

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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

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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.

MALINI. P | Engineering | Best Researcher Award

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Mrs. MALINI. P | Engineering | Best Researcher Award

Vivekanandha College of technology for women, India

Author Profile

Early Academic Pursuits 🎓

Mrs. P. Malini’s educational journey reflects a deep commitment to the field of Electronics and Communication Engineering, a path she has followed with great enthusiasm and excellence. She completed her B.E. in Electronics and Communication Engineering from Madras University in 1999, securing a First Class with Distinction. This strong academic foundation set the stage for her future endeavors in the field of technology and engineering. Driven by a passion for knowledge, Mrs. Malini pursued her M.E. in Applied Electronics from Anna University, Chennai, graduating in June 2012 with First Class with Distinction. Her consistent dedication to academic excellence continued as she embarked on her Ph.D. journey in Information and Communication Engineering at Anna University, Chennai, where she is currently pursuing her research on a part-time basis. This pursuit of higher learning showcases her lifelong commitment to expanding her expertise in the field. 📚

Professional Endeavors 💼

Mrs. P. Malini is currently serving as an Assistant Professor in the Electronics and Communication Engineering Department at Vivekanandha College of Technology for Women. Her role involves imparting knowledge to future engineers, guiding them through the complexities of electronics and communication systems. Over the years, Mrs. Malini has accumulated vast experience in teaching various subjects related to her field, which has helped shape her as a respected academician. Her professional journey is characterized by a passion for education and a desire to contribute to the growth of her students. By balancing her academic pursuits and professional responsibilities, Mrs. Malini is actively involved in fostering the development of young minds, preparing them for careers in the rapidly advancing field of electronics and communication engineering. 👩‍🏫

Contributions and Research Focus 🔬

Mrs. Malini’s research interests are aligned with the evolving technological landscape, focusing on Information and Communication Engineering. Her areas of expertise and research contributions include Optical Communication and Networking, Wireless Networks, Mobile Communication, and Transmission Lines and RF Systems. These topics are critical in modern communications, impacting everything from internet connectivity to mobile networks. Additionally, Mrs. Malini has a keen interest in Electromagnetics and Waveguides, as well as the exciting intersection of Machine Learning with communication systems. This broad range of interests underscores her adaptability and commitment to exploring the future of communication technologies. By engaging with these emerging topics, she is contributing to the advancement of cutting-edge technologies that will shape the next generation of communication systems. 🌐

Accolades and Recognition 🏆

Mrs. P. Malini’s academic achievements and professional contributions have not gone unnoticed. Her First Class with Distinction achievements in both her M.E. and B.E. degrees reflect her dedication to excellence. Furthermore, her ongoing pursuit of a Ph.D. under the esteemed Anna University further exemplifies her drive for continuous learning and innovation in the field of Information and Communication Engineering. Mrs. Malini’s recognition extends beyond her academic qualifications, as she has received numerous accolades for her contributions to the electronics and communication field, particularly in the areas of optical communication and wireless networks. These recognitions serve as a testament to her hard work and perseverance in shaping future engineers. 🎖️

Impact and Influence 🌍

Through her role as an educator and researcher, Mrs. Malini has left a lasting impact on her students and the broader academic community. Her teaching has inspired many students to pursue careers in communication technologies and has opened doors for them in fields related to mobile communications, wireless networking, and machine learning. Her research contributions are actively shaping the direction of future technologies, particularly in networking and communication systems, fields that are vital in today’s interconnected world. Mrs. Malini’s influence extends far beyond her classroom, as she continues to inspire a generation of engineers to innovate, collaborate, and shape the future of global communications. Her impact is a reflection of her vision to bridge the gap between theoretical knowledge and practical applications in the realm of electronics and communication engineering. 🌱

Legacy and Future Contributions 🔮

Looking ahead, Mrs. P. Malini’s future contributions hold the promise of advancing the frontiers of information and communication technologies. Her ongoing research in machine learning and its applications to communication systems is poised to bring innovative solutions to modern communication challenges. With the continuous evolution of 5G and next-generation wireless technologies, Mrs. Malini’s work is crucial in enabling faster, more reliable networks that will impact everything from smart cities to connected devices. Her legacy will be defined by the influence she has had on her students, the contributions she has made to the development of next-gen communication systems, and the role she plays in shaping the future of electronic communications. 🌟

In conclusion, Mrs. P. Malini stands as a distinguished academician, researcher, and mentor whose dedication to her field has left an indelible mark on the world of electronics and communication engineering. Through her ongoing academic pursuits and professional endeavors, she continues to be a beacon of knowledge and inspiration for aspiring engineers, contributing to the technological progress that shapes the world we live in.

Citations

A total of 23 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         23
  • h-index           09
  • i10-index        03

Notable Publications 

  • Title: An efficient deep learning mechanisms for IoT/Non-IoT devices classification and attack detection in SDN-enabled smart environment
    Authors: Malini, P., Kavitha, D.K.R.
    Journal: Computers and Security, 2024.
  • Title: An Efficient System for Visually Impaired by using LORA RA01
    Authors: Malini, P., Karpakam, S., Saranya, E., Murugajothi, T., Ranjith, G.
    Conference: Proceedings of the 5th International Conference on Inventive Research in Computing Applications (ICIRCA 2023), 2023.
  • Title: RFID based Smart Cart using Load Cell
    Authors: Senthilkumar, N., Magneta, S.C., Jenefa, A., Malini, P., Ranjith, G.
    Conference: Proceedings of the 2nd International Conference on Edge Computing and Applications (ICECAA 2023), 2023.
  • Title: A Survey of Breast Cancer Detection Using Medical Imaging Techniques
    Authors: Ganesh, C., Jeevitha, T., Jayalakshmi, A., Kumar, N.S., Malini, P.
    Conference: 9th International Conference on Advanced Computing and Communication Systems (ICACCS 2023), 2023.
  • Title: Soft Computing based Machine Learning Techniques for Optical Communication Networks
    Authors: Malini, P., Vasantharaj, A., Preethi, S., Sasikala, U., Irfanbasha, S.
    Conference: International Conference on Automation, Computing and Renewable Systems (ICACRS 2022) – Proceedings, 2022.

RAJEASHWARI. S | Deep Learning | Best Researcher Award

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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.