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.

NALINI ATCHAYARAM | Neuroscience | Best Research Award

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Prof. Nalini Atchayaram | Neuroscience | Best Research Award

NATIONAL INSTITUTE OF MENTAL HEALTH AND NEUROSCIENCES, India

Author Profile

Early Academic Pursuits 📚🎓

Prof. Dr. (Mrs.) Atchayaram Nalini’s academic journey reflects a relentless pursuit of excellence in the medical field. Beginning her educational journey at the esteemed Bangalore Medical College, she graduated with an MBBS degree in 1988, achieving an impressive 89% and earning a Gold Medal for the highest aggregate marks in her final year. Her exceptional academic performance set the foundation for her future accomplishments.

Her commitment to neurology led her to pursue a DM in Neurology at Bangalore University, which she successfully completed in 1994. Once again, she was awarded a Gold Medal, cementing her reputation as a dedicated and brilliant scholar in the field of neurology.

Furthering her quest for knowledge, Prof. Nalini obtained a PhD from Maastricht University, The Netherlands, in 2020. This achievement underscored her passion for research and advanced understanding of neurological disorders. In 2021, she diversified her expertise by completing an MBA in Hospital Management from Madurai Kamaraj University, Tamil Nadu, equipping herself with leadership and administrative skills vital for healthcare management.

Professional Endeavors 🩺💼

Prof. Nalini serves as a Professor in the Department of Neurology at the prestigious National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, a hub of excellence in neurological research and education. Her clinical and academic leadership extends to her role as the Lead of the NIMHANS Advanced Center for Neuromuscular Disorders (NACNMD), an initiative under the Ministry of Health and Family Welfare.

In her illustrious career, Prof. Nalini has played a pivotal role in diagnosing and managing complex neuromuscular disorders. Her expertise has been instrumental in advancing patient care and setting new benchmarks in clinical practice.

Contributions and Research Focus 🔬📖

Prof. Nalini’s research is driven by a passion for understanding the complexities of neuromuscular disorders and their impact on patients’ lives. Her work encompasses various aspects of neurology, including:

  • Neuromuscular Disorders: Advancing diagnostic and therapeutic approaches to improve outcomes for patients.
  • Neurogenetics: Exploring the genetic underpinnings of neurological conditions to inform personalized medicine.
  • Healthcare Management: Integrating clinical insights with hospital management strategies for efficient and patient-centered care.

Her PhD work at Maastricht University focused on cutting-edge neurological research, which has contributed significantly to the global understanding of the field. Prof. Nalini’s dedication to research ensures that her findings translate into tangible benefits for both patients and the medical community.

Accolades and Recognition 🏅✨

Prof. Nalini’s remarkable achievements have been recognized through numerous accolades, including:

  • Gold Medal for Highest Aggregate Marks in Final MBBS (1988).
  • Gold Medal in Final DM Neurology (1994).
  • Recognition for her PhD in Neurology from Maastricht University (2020).
  • Leadership roles in pioneering initiatives at NIMHANS.

Her awards reflect not just academic brilliance but also her commitment to excellence in medical practice and research.

Impact and Influence 🌍🤝

As a mentor, researcher, and clinician, Prof. Nalini has significantly impacted the neurology community. Her role as the Lead of NACNMD has been transformative in establishing a specialized center that addresses the challenges of neuromuscular disorders in India.

Her influence extends beyond the clinical realm, as she actively contributes to the academic and professional growth of her students and peers. Through her teaching, she has inspired a generation of neurologists and healthcare professionals to pursue excellence and compassion in their work.

Legacy and Future Contributions 🌟📈

Prof. Nalini’s legacy lies in her unwavering commitment to patient care, academic excellence, and pioneering research. Her multidisciplinary expertise, encompassing neurology, neurogenetics, and hospital management, positions her as a thought leader in the evolving landscape of healthcare.

Looking ahead, Prof. Nalini aims to:

  1. Enhance Neurological Research: Expand understanding of neuromuscular and genetic disorders.
  2. Strengthen Healthcare Systems: Integrate hospital management insights to improve patient outcomes.
  3. Inspire Future Generations: Continue mentoring aspiring neurologists and researchers.

Prof. Dr. (Mrs.) Atchayaram Nalini stands as a beacon of inspiration in the field of neurology, embodying a rare blend of academic brilliance, clinical expertise, and compassionate leadership. Her contributions have left an indelible mark on the medical community, ensuring her legacy as a transformative force in healthcare. 🧠🌟

Citations

A total of 3,549 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        3,549
  • h-index          264
  • i10-index       31

Notable Publications 

  • Title: Magnetic Resonance Imaging in Idiopathic Inflammatory Myopathies: Deciphering the Pattern of Muscle Involvement
    Authors: Sridhar, S., Nashi, S., Kulanthaivelu, K., Mahadevan, A., Nalini, A.
    Journal: Neuromuscular Disorders, 2025.
  • Title: Virtual Leadership Program for Adolescents with Muscular Dystrophy: A Process Evaluation
    Authors: Sadasivan, A., Warrier, M.G., Thomas, P.T., Vengalil, S., Nalini, A.
    Journal: Social Work with Groups, 2025.
  • Title: Telehealth Services for an Adolescent with Duchenne Muscular Dystrophy (DMD) During the COVID-19 Pandemic
    Authors: Sadasivan, A., Warrier, M.G., Vengalil, S., Thomas, P.T., Nalini, A.
    Journal: Australian Social Work, 2025.
  • Title: Inter-Speaker Acoustic Differences of Sustained Vowels at Varied Dysarthria Severities for Amyotrophic Lateral Sclerosis
    Authors: Bhattacharjee, T., Vengalil, S., Belur, Y., Atchayaram, N., Ghosh, P.K.
    Journal: JASA Express Letters, 2024.
  • Title: Autoantibody-Based Clinicoradiopathologic Phenotyping of Idiopathic Inflammatory Myopathies: An Indian Cohort
    Authors: Girija, M.S., Vengalil, S., Kulanthaivelu, K., Mahadevan, A., Nalini, A.
    Journal: Journal of Clinical Neuromuscular Disease, 2024.

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.

Sampathkumar.J | Machine Learning | Young Scientist Award

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

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

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

Professional Endeavors 💼🚀

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

Contributions and Research Focus 🔍📈

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

Accolades and Recognition 🏆✨

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

Impact and Influence 🌟📖

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

Legacy and Future Contributions 🌍🔮

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

Notable Publications

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

Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

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Dr. Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

VIT Bhopal University, India

Author Profile

Early Academic Pursuits 🎓📘

Dr. Nilamadhab Mishra, often referred to as Dr. N. Mishra, embarked on his academic journey with a strong foundation in computer science and engineering, leading him to pursue his Doctor of Philosophy (Ph.D.) in Computer Science & Information Engineering. He specialized in the field of Data Science and Machine Learning, which laid the groundwork for his future research and professional pursuits. His Ph.D. was awarded by Chang Gung University (CGU) in Taiwan, a well-regarded institution ranked in the 601-800 bracket in the Times Higher Education World University Rankings (2016) and positioned at 429 in the QS World University Rankings the same year. This esteemed academic environment at CGU provided Dr. Mishra with valuable exposure and contributed significantly to his evolving expertise in AI and machine learning.

Professional Endeavors 🏫🔬

With over 22 years of experience spanning academia and research across India, Taiwan, and Africa, Dr. Mishra has significantly impacted both national and international institutions. Currently, he serves as an Associate Professor in the School of Computer Science and Engineering, specifically within the AI-ML Division, at VIT Bhopal University in India. His teaching roles have encompassed diverse computer science topics, while his dedication to research has led him to work on multiple funded projects from Taiwan’s Ministry of Science and Technology (MOST), the National Science Council (NSC), and Chang Gung University Memorial Hospital. These projects allowed him to explore complex, real-world challenges within the fields of artificial intelligence, data science, and machine learning, all of which are central to his ongoing professional focus.In addition to his academic roles, Dr. Mishra has contributed his expertise to several notable professional organizations. He is a Life Member of the Computer Society of India (CSI), a Fellow Member of the International Society for Research and Development (ISRD), and a Senior Member of both the Asia Society of Researchers (ASR) and the International Economics Development and Research Center (IEDRC), both based in Hong Kong. His international affiliations reflect his deep commitment to staying connected with the global research community, enhancing his academic and professional insights.

Contributions and Research Focus 🔍📊

Dr. Mishra’s research primarily revolves around artificial intelligence (AI), data science, and machine learning, with an emphasis on cognitive application modeling. His scholarly work includes over 50 publications in highly regarded SCI/SCIE and SCOPUS-indexed journals, book chapters, Indian and Australian patents, and IEEE conference proceedings. His impressive publication record has positioned him as a thought leader in his field. As an active researcher, he has also taken on roles as a reviewer, associate editor, and editorial board member for several SCI/SCIE-indexed journals and conferences, further broadening his impact in the academic community.Through his Ph.D. research, Dr. Mishra contributed significantly to several funded research projects aimed at advancing medical and scientific knowledge, particularly in collaboration with CGU Memorial Hospital. His work on data-driven insights and predictive models has applications in healthcare and other sectors, highlighting the transformative potential of machine learning and data science to solve complex societal issues.

Accolades and Recognition 🏆📜

Dr. Mishra’s dedication to excellence in his field has earned him numerous accolades. In 2018, he was recognized as a “Top Author” on PubFacts.com, and his name was recorded in the prestigious World Book of Researchers, published in Oxford, United Kingdom. His international recognition extends to his status as an Associate Editor for two SCOPUS-indexed journals, a position that underscores his expertise in evaluating cutting-edge research.Further distinguishing his career is his qualification in the Test of English as an International Communication (TOEIC), demonstrating his proficiency in engaging with the global academic and professional community. His inclusion in the World Book of Researchers and his recognition by PubFacts.com reflect his influential presence and active contribution to the research world.

Impact and Influence 🌎📈

Dr. Mishra’s impact is evident in his prolific body of research, his commitment to teaching, and his active role in academic service. His publications in high-impact journals have influenced the fields of AI, machine learning, and data science, inspiring other researchers and contributing to advancements in technology and science. As an Associate Professor, he mentors the next generation of computer scientists, instilling in them both technical knowledge and a passion for research. His influence extends beyond the classroom through his involvement in professional organizations, where he collaborates with researchers from around the globe to advance scientific understanding.Additionally, his membership in organizations such as ORCID, IEEE Collabratec, and the International Association of Engineers (IAENG) highlights his dedication to continuous learning and professional development. These platforms allow him to exchange ideas with other experts, stay abreast of the latest technological advancements, and integrate this knowledge into his teaching and research.

Legacy and Future Contributions 🌠📅

As Dr. Mishra continues to contribute to the fields of AI, machine learning, and data science, his work will undoubtedly leave a lasting legacy. His dedication to advancing these fields has already established him as a respected figure in academia, and his ongoing research promises to push the boundaries of what is possible in cognitive application modeling and data-driven decision-making. His legacy also includes his contributions to professional organizations and his mentorship of students, both of which ensure that his impact will resonate with future generations of researchers and engineers.Looking ahead, Dr. Mishra aims to deepen his research in machine learning and AI applications, potentially exploring their intersections with cognitive science and healthcare. His future contributions promise to enhance our understanding of these technologies and their potential to address global challenges. Through his dedication to research, teaching, and mentorship, Dr. Mishra is well-positioned to continue making meaningful contributions to the academic and scientific communities for years to come.

Citations

A total of 323 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         323
  • h-index           64
  • i10-index        10

Notable Publications 

  • Title: Hybrid optimization enabled squeeze net for phishing attack detection
    Authors: Kamble, N., Mishra, N.
    Journal: Computers and Security
    Year: 2024.
  • Title: A blockchain-based deep learning system with optimization for skin disease classification
    Authors: Rokade, S., Mishra, N.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Unveiling the effectiveness of ML models for predicting Forex trends: An AI-ML-driven service into trade marketing
    Authors: Sodha, M., Nayak, R.K., Mishra, N., Tripathy, R., Singh, H.
    Book Chapter: AI Innovations in Service and Tourism Marketing
    Year: 2024.
  • Title: QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
    Authors: Hariharasitaraman, S., Mishra, N., Vishnuvardhanan, D.
    Journal: Physica Scripta
    Year: 2024.
  • Title: PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson’s disease severity assessment
    Authors: Mishra, S., Jena, L., Mishra, N., Chang, H.-T.
    Journal: Heliyon
    Year: 2024.

Rajib Kumar Jha | Machine Learning | Research Excellence Award

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Dr. Rajib Kumar Jha | Machine Learning | Research Excellence Award

IIT Patna, India

Author Profile

Early Academic Pursuits 📚

Rajib Kumar Jha’s academic journey is marked by a strong foundation in science and engineering, beginning with his secondary education at M. L. Academy, Bihar, where he excelled in core subjects like Science, Mathematics, Hindi, and English, scoring an impressive 76% in 1992. His passion for engineering continued through his higher secondary studies at C.M. Sc. College, Bihar, where he obtained 69% in 1993. Driven to excel in the field, he pursued his undergraduate degree in Electronics and Communication Engineering (ECE) at UIET Kanpur under CSJM University, graduating in 2001 with a commendable CPI of 8.4/10. His commitment to advancing in his field took him to IIT Kharagpur, where he earned both his M.Tech (2003) with a CPI of 7.6/10 and his Ph.D. (2010) with a specialization in Digital Image Processing. This period marked a significant phase of growth, as he deepened his understanding of Digital Image & Signal Processing, Medical Imaging, Machine Learning, and Pattern Recognition.

Professional Endeavors 💼

Dr. Rajib Kumar Jha’s professional career reflects a steady progression in academia, combining teaching with intensive research. Starting in 2006, he joined IIITDM Jabalpur as an Assistant Professor, dedicating over six years to teaching and research until December 2012. He then moved to IIT Ropar, where he continued his teaching journey until May 2013. His skills and expertise led him to IIT Patna, initially as an Assistant Professor from 2013 to 2018, after which he was promoted to Associate Professor. At IIT Patna, Dr. Jha has been actively involved in research, development, and mentorship, making substantial contributions to the field and to the growth of his students.

Contributions and Research Focus 🔬

Dr. Jha’s research interests focus on the field of Digital Image & Signal Processing, with an emphasis on Medical Imaging, Machine Learning, and Pattern Recognition. His work in Digital Image Processing, initiated during his Ph.D. at IIT Kharagpur, has extended to pioneering research in Medical Imaging. By integrating Machine Learning and advanced pattern recognition techniques, he has made advancements in data interpretation and diagnostics that could significantly improve medical imaging accuracy. His research output has contributed to enhancing signal processing methods, which are essential for both academic and practical applications. Through this specialized focus, he has enriched both his students and the academic community, providing insights into cutting-edge developments in image and signal processing.

Accolades and Recognition 🏆

Throughout his career, Dr. Jha has earned recognition for his academic rigor and dedication. His academic records and early success led to opportunities in prestigious institutions, starting with his Ph.D. and M.Tech from IIT Kharagpur and culminating in his role as an Associate Professor at IIT Patna. His contributions to research and education have been recognized at various levels, with honors reflecting his commitment to excellence in the engineering discipline. His significant contributions to medical imaging and digital signal processing have attracted appreciation from his peers and set a benchmark for upcoming researchers.

Impact and Influence 🌍

Dr. Rajib Kumar Jha’s influence extends beyond his research; as a teacher and mentor, he has guided numerous students through their academic and research journeys. His tenure at institutions like IIITDM Jabalpur, IIT Ropar, and IIT Patna has allowed him to impact a diverse group of students, encouraging them to think innovatively and apply their knowledge to real-world challenges. His focus on digital signal processing has also contributed to advancements in medical technology, benefiting practitioners and patients alike. Dr. Jha’s collaborations and guidance have helped shape the careers of future engineers and researchers, many of whom now contribute to the field independently.

Legacy and Future Contributions 🌟

As he continues his journey at IIT Patna, Dr. Jha is poised to leave a lasting legacy, both as an academic and a researcher. His current research efforts hold potential for groundbreaking advancements in medical imaging and pattern recognition, particularly in healthcare applications within developing regions. Dr. Jha’s dedication to teaching and research ensures that his influence will extend well beyond his immediate academic environment, as his work is likely to inspire future innovations in signal processing, machine learning, and digital image processing. Embracing new technologies and methodologies, Dr. Jha is committed to enhancing the impact of engineering research and shaping a generation of engineers who are ready to tackle tomorrow’s challenges.

Citations

A total of 1187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1187
  • h-index           103
  • i10-index        18

Notable Publications 

  • Title: Ensemble learning using Gompertz function for leukemia classification
    Authors: Abhishek, A., Deb, S.D., Jha, R.K., Sinha, R., Jha, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2025.
  • Title: Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers
    Authors: Deb, S.D., Jha, R.K.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Severity estimation of Coffee leaf disease using U-Net and pixel counting mechanism
    Authors: Deb, S.D., Kashyap, R., Abhishek, A., Jha, R.K.
    Journal: ACM International Conference Proceeding Series
    Year: 2024.
  • Title: Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
    Authors: Deb, S.D., Rahman, A., Jha, R.K.
    Journal: Research on Biomedical Engineering
    Year: 2023.
  • Title: Breast UltraSound Image classification using fuzzy-rank-based ensemble network
    Authors: Deb, S.D., Jha, R.K.
    Journal: Biomedical Signal Processing and Control
    Year: 2023.