Pankaj Dadheech | Computer Science | Best Researcher Award

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Dr. Pankaj Dadheech | Computer Science | Best Researcher Award

Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India

Author Profile

🌱 Early Academic Pursuits

Dr. Pankaj Dadheech began his academic journey in the picturesque town of Rajsamand, Rajasthan, India. A bright student from the start, he completed his secondary education with distinction. He secured 67.45% in his Class X examinations and followed it up with an impressive 69.54% in Class XII, focusing on Physics, Chemistry, and Mathematics (PCM) — a foundation that set the stage for his future in Computer Science & Engineering 🖥️.

Driven by curiosity and a zeal to innovate in the field of technology, Dr. Dadheech pursued his Bachelor of Engineering (B.E.) in Computer Science & Engineering from the University of Rajasthan, Jaipur. He graduated with honors (72.33%), showcasing a strong academic inclination right from his undergraduate days 🎓. Furthering his academic aspirations, he completed his M.Tech. in Computer Science & Engineering from Rajasthan Technical University, Kota, through Poornima College of Engineering, Jaipur, earning a First Division with 60.83%.

Dr. Dadheech’s insatiable thirst for knowledge culminated in a Ph.D. in Computer Science & Engineering from Suresh Gyan Vihar University, Jaipur (NAAC “A” Grade), where he conducted rigorous research between 2015 and 2019, eventually being awarded the doctorate in 2019. This achievement marked a pivotal moment in his academic career and opened doors for higher-level research and supervision 📘.

💼 Professional Endeavors

With over a decade of rich academic and administrative experience, Dr. Pankaj Dadheech is currently serving as Professor and Deputy Head in the Department of Computer Science & Engineering at Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur — an Autonomous Institute affiliated with Rajasthan Technical University, Kota, and accredited with NAAC A++ Grade 🏛️.

He holds several prestigious roles at SKIT including:

  • Coordinator of DRC (Departmental Research Committee) – CSE

  • Convener – R&D Cell

  • Ph.D. Research Supervisor in Computer Science & Engineering at SKIT, which is a recognized research center of RTU, Kota.

His leadership in the academic community is amplified by his Senior Membership in IEEE, which reflects his commitment to global standards in engineering and technology 🌍⚙️.

📚 Contributions and Research Focus

Dr. Dadheech’s primary focus areas lie within the expansive domain of Computer Science & Engineering, where his research contributes to the development of innovative computational techniques, machine learning models, and intelligent systems 🤖. His Ph.D. research, although not detailed here, likely dealt with complex real-world problems involving emerging computing technologies — a space where sustainability, data intelligence, and automation intersect.

As a Ph.D. Research Supervisor, he mentors doctoral scholars and M.Tech students, guiding them through the rigorous process of academic research. He also plays a vital role in the Departmental Research Committee, ensuring the research output of the department aligns with national and international benchmarks. His involvement in the R&D Cell demonstrates a proactive approach toward fostering innovation and multidisciplinary collaboration 🔬✨.

🏆 Accolades and Recognition

Dr. Dadheech’s achievements span both academic excellence and administrative brilliance. His journey from a small town in Rajasthan to a senior leadership role at one of Jaipur’s premier engineering institutes is commendable. The conferral of Ph.D. in 2019, his elevation to Professor & Deputy Head, and recognition by IEEE as a Senior Member are testaments to his scholarly impact and professional integrity 🎖️.

His trusted role as a Ph.D. Supervisor by Rajasthan Technical University is not just a recognition of his academic stature but also of his contributions to capacity building and higher education in India 🧑‍🏫📈.

🌐 Impact and Influence

Dr. Pankaj Dadheech’s work influences a broad academic and technological community. As a teacher, mentor, and research guide, he shapes the careers of future engineers and scholars. His administrative acumen has strengthened the research infrastructure at SKIT, resulting in a robust ecosystem for academic innovation and knowledge dissemination.

Moreover, his multiple official email addresses — including pankaj@skit.ac.in, dyhodcs@skit.ac.in, and drpankajdadheech@ieee.org — indicate his involvement at various strategic levels, from faculty coordination to external academic collaborations. His research supervision fosters academic excellence and builds the groundwork for impactful research in AI, cybersecurity, and cloud computing domains ☁️🔐🧠.

🔮 Legacy and Future Contributions

With a solid foundation in both academia and research administration, Dr. Dadheech is poised to contribute even more significantly in the coming years. His vision for the future includes fostering interdisciplinary research, enhancing industry-academia linkages, and promoting sustainable technology-driven solutions 🌿💻.

His legacy will likely be defined by the hundreds of students and researchers he mentors, the research culture he cultivates, and the innovative policies he helps implement in academic institutions. As someone who bridges technical knowledge with leadership, his career path serves as an inspiration to aspiring academicians and young innovators across India.

Citations

A total of 2444 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        2444
  • h-index               27
  • i10-index            64

Notable Publications 

  • Title: Flow-based anomaly intrusion detection using machine learning model with software defined networking for OpenFlow network
    Authors: N. Satheesh, M.V. Rathnamma, G. Rajeshkumar, P.V. Sagar, P. Dadheech, et al.
    Journal: Microprocessors and Microsystems
    Year: 2020

  • Title: Predicting agriculture yields based on machine learning using regression and deep learning
    Authors: P. Sharma, P. Dadheech, N. Aneja, S. Aneja
    Journal: IEEE Access
    Year: 2023

  • Title: Analysis of Network Slicing for Management of 5G Networks Using Machine Learning Techniques
    Authors: R.A. Randeep Singh, Abolfazl Mehbodniya, Julian L. Webber, Pankaj Dadheech, G. et al.
    Journal: Wireless Communications and Mobile Computing
    Year: 2022

  • Title: Software-defined networking-based Ad hoc networks routing protocols
    Authors: G. Kirubasri, S. Sankar, D. Pandey, B.K. Pandey, V.K. Nassa, P. Dadheech
    Journal: Software Defined Networking for Ad Hoc Networks
    Year: 2022

  • Title: Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image
    Authors: R. Anand, B. Khan, V.K. Nassa, D. Pandey, D. Dhabliya, B.K. Pandey, et al.
    Journal: Aerospace Systems
    Year: 2023

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

Shivani Joshi | Neural Networks | Innovative Research Award

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Dr. Shivani Joshi | Neural Networks | Innovative Research Award

Galgotias University, India

Author Profile

🌱 Early Academic Pursuits

Dr. Shivani Joshi’s journey into the world of technology and academia began with a strong foundation in Computer Science & Engineering. She earned her B.Tech from Chotu Ram State College of Engineering, Murthal, affiliated with Maharshi Dayanand University (MDU), Rohtak, securing an impressive 82% in 1997. Her passion for deeper knowledge led her to pursue an M.Tech in Computer Science & Engineering from Vaish Engineering College, also under MDU, where she excelled with 83% marks. 🏅

Driven by an insatiable curiosity and commitment to academic excellence, Dr. Joshi undertook her doctoral studies at C.S.J.M. University, Kanpur, a state government university, and completed her Ph.D. in Computer Science & Engineering in 2013. Her early academic endeavors laid a robust platform for her dynamic career, blending theoretical rigor with practical technological insight. 🧠

👩‍🏫 Professional Endeavors

With an illustrious career spanning over 26 years, Dr. Shivani Joshi has donned multiple influential roles in the academic sphere. From a Professor to Director and Program Director at the reputed Stratford University, her leadership has left an indelible mark on higher education, both nationally and internationally.

Currently serving as a Professor at Galgotias University, Greater Noida, Dr. Joshi contributes significantly to the institution’s mission of academic excellence. Her good working knowledge of Outcome-Based Education (OBE) and her hands-on experience with NBA and NAAC Accreditation processes have been instrumental in steering academic programs toward quality assurance and continuous improvement. 🏛️

Her teaching portfolio includes cutting-edge subjects like Big Data, DBMS, Artificial Intelligence (AI), Digital Image Processing, Software Engineering, and Object-Oriented Technologies (OOT). Her sessions are marked by clarity, technical depth, and a deep engagement with students. 🖥️📊

🔬 Contributions and Research Focus

Dr. Joshi’s scholarly work revolves around the ever-evolving domains of Artificial Intelligence, Big Data, and Digital Image Processing. Her Ph.D. research contributed to advancements in the theoretical underpinnings and practical applications of intelligent systems.

She has mentored numerous postgraduate students and guided academic projects that emphasize real-world applications. Known for her good analytical skills and adaptability, she embraces emerging tools like MATLAB, Hadoop, and Oracle in her research and pedagogy.

Dr. Joshi is also highly proficient in programming languages such as C, C++, Java, and Visual Basic (VB), ensuring her teaching aligns with current industry standards. Her research contributions and classroom practices exemplify a perfect blend of academic excellence and technological expertise. 🔍💻

🏆 Accolades and Recognition

Dr. Shivani Joshi’s contributions to education have been recognized by numerous academic forums and institutions. Her tenure at Stratford University and Galgotias University has earned her accolades for academic leadership, curriculum development, and student mentoring.

Her reputation as a knowledgeable and committed educator with good communication and interpersonal skills has made her a sought-after figure in academic circles, often invited to participate in accreditation reviews, conference panels, and quality assurance committees. 🌟📜

🌐 Impact and Influence

Through her decades of experience, Dr. Joshi has significantly influenced curriculum development and academic policy, especially in aligning programs with NBA and NAAC standards. Her expertise in Outcome-Based Education (OBE) has empowered departments to adopt student-centric, performance-driven models.

She is not only an educator but a mentor who has helped shape the careers of countless students and faculty members. By keeping herself abreast of modern tools like Hadoop, MATLAB, and Oracle, she ensures that her students are future-ready. 📘🚀

🌟 Legacy and Future Contributions

As she continues her academic journey, Dr. Shivani Joshi is poised to contribute even more profoundly to education and research. With her firm belief in lifelong learning and her motivation to rapidly acquire new skills on the job, she plans to delve deeper into Artificial Intelligence, Big Data Analytics, and their role in smart education systems. 📈🤖

Her legacy lies in her dedication to teaching excellence, her active involvement in academic quality frameworks, and her unwavering support for student growth. Future contributions may include policy advisory roles, international collaborations, and pioneering research in AI-driven education.

With her vast experience, technical proficiency, and commitment to student success, Dr. Shivani Joshi continues to be an inspiring academic leader who bridges the gap between foundational learning and advanced technological evolution. 🌍📚

Citations

A total of 1470 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        1470
  • h-index           09
  • i10-index        09

Notable Publications 

  • Title: Brain Tumor Detection Using ADARN Optimizer
    Authors: R Kumar, A Dwivedi, S Joshi, VC Tripathi
    Journal/Conference: 2024 2nd International Conference on Disruptive Technologies (ICDT), pp. 1271–1275
    Year: 2024

  • Title: Identification of Pneumonia in Corona Virus Patient
    Authors: R Kumar, S Joshi, V Rai, A Dwivedi, N Jha
    Journal/Conference: 2022 International Conference on Computational Intelligence and Sustainable Computing
    Year: 2022

  • Title: Innovative Detection of IoT Cyber Threats Using a GBiTCN-Temformer and MKOA Framework
    Authors: V Rai, PK Mishra, S Joshi, R Kumar, A Dwivedi
    Journal/Conference: Journal of Network and Computer Applications, Article 104192
    Year: 2025

  • Title: Automated AI System for Online Phishing Detection and Mitigation
    Authors: D Raj, R Kumar, S Joshi
    Journal/Conference: 2024 International Conference on Electrical Electronics and Computing
    Year: 2024

  • Title: Cyberbullying Detection in Hinglish Language
    Authors: R Kumar, V Rai, S Joshi, D Raj, A Amrita
    Journal/Conference: 2024 International Conference on Electrical Electronics and Computing
    Year: 2024

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.

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.

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.

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.

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

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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

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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.