Suresh K P | Biostatistics | Best Researcher Award

Dr. Suresh K P | Biostatistics | Best Researcher Award

ICAR- National Institute of Veterinary Epidemiology and Disease Informatics. India

Author Profile

Early Academic Pursuits 🎓

Dr. K.P. Suresh’s academic journey reflects his commitment to excellence in education and a passion for statistics. Born and raised in rural Karnataka, he completed his SSLC in 1984 from Sathanur High School, Magadi Taluk, Bangalore district. His early exposure to mathematical sciences laid the foundation for a lifelong pursuit of statistical knowledge.

He earned his B.Sc. in 1989 from the Government Science College, Bangalore University, specializing in Statistics, Economics, and Mathematics. His thirst for deeper understanding led him to pursue an M.Sc. in Statistics in 1991, also from Bangalore University. Recognizing his aptitude and enthusiasm for research, he obtained a Ph.D. in Biostatistics in 2007 from the prestigious National Institute of Mental Health and Neurosciences (NIMHANS). His doctoral thesis on the “Evaluation of Clustering Methods for Pattern Recognition of Scholastic Improvement in Rural Children” demonstrated his innovative approach to solving complex problems in education and rural development.

Professional Endeavors and Versatile Expertise 💼

With over three decades of experience, Dr. Suresh has worn many hats — as a teacher, statistician, scientist, and mentor. He embarked on his professional career with All India Radio, Dharwad, analyzing audience research data for five years. His expertise in biostatistics soon found its most impactful application in his 28-year tenure as a scientist, where he worked extensively on:

  • Designing experiments,
  • Data analysis, and
  • Interpretation of complex datasets.

His contributions were particularly noteworthy at the National Institute of Animal Nutrition and Physiology, Bangalore, where his work addressed critical challenges in animal health and productivity. Later, at the ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, he delved into epidemiology, disease modeling, and risk mapping using advanced tools like remote sensing.

Teaching and Mentorship 📚

Dr. Suresh has been a dedicated educator, sharing his wealth of knowledge with students across various institutions. He has taught:

  • Undergraduate statistics for one year at Kalpatharu College, Tiptur, and
  • Postgraduate statistics for three years, including two years at the National Dairy Research Institute (NDRI), Bangalore.

His guidance has extended beyond classrooms, serving as a member of the board of examiners for Ph.D. theses, including his adjudication of a thesis on “Prediction of Secondary Structure of Proteins” at Bharathidasan University.

As a mentor, Dr. Suresh has guided 15 M.Sc. students and one Ph.D. scholar, fostering the next generation of statisticians. 🌟 His mentoring style has been widely appreciated for its clarity and depth.

Contributions and Research Focus 🔬

Dr. Suresh’s research spans diverse domains, including biostatistics, epidemiology, and disease modeling. Notable areas of his focus include:

  • Risk mapping for veterinary diseases,
  • Developing statistical tools for disease control, and
  • Utilizing remote sensing and GIS technologies for epidemiological studies.

His innovative approaches have directly influenced policies and practices in veterinary epidemiology, demonstrating his ability to bridge theoretical research with practical applications. 🐄📊

Accolades and Recognition 🏆

Dr. Suresh’s contributions have earned him immense respect in academic and scientific circles. His role in advancing biostatistics has been recognized nationally, particularly within the Indian Council of Agricultural Research (ICAR) network. As an esteemed Ph.D. examiner and thesis advisor, he has gained a reputation for his rigorous yet supportive evaluation process.

Impact and Influence 🌍

Through his career, Dr. Suresh has left a lasting impact on diverse fields, including education, veterinary science, and public health. His work on scholastic improvements in rural children reflects his commitment to social progress, while his contributions to animal disease modeling address critical challenges in agriculture and food security.

Legacy and Future Contributions 🔮

Dr. Suresh’s legacy is defined by his unwavering dedication to research, teaching, and mentorship. He has laid a strong foundation for biostatistics in India, particularly in the context of veterinary epidemiology. As he continues to engage in academic and research activities, his future contributions will likely shape new frontiers in disease modeling and statistical education. 🌟

In summary, Dr. K.P. Suresh’s journey is a testament to the transformative power of knowledge and innovation. Through his multi-faceted career, he has made significant contributions to science and society, ensuring his place as a luminary in biostatistics and epidemiology. ✨

Citations

A total of 3,051 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         3,051
  • h-index           144
  • i10-index        22

Notable Publications 

  1. Identification of molecular and cellular infection response biomarkers associated with anthrax infection through comparative analysis of gene expression data
    Authors: Rani, S., Ramesh, V., Khatoon, M., Hemadri, D., Suresh, K.P.
    Journal: Computers in Biology and Medicine
    Year: 2025

  1. Genomic exploration of foot-and-mouth disease signal molecules in Malnad Gidda and Hallikar breeds of Karnataka: A RNA-seq approach
    Authors: Sekar, Y.S., Suresh, K.P., Subramaniam, S., Barman, N.N., Patil, S.S.
    Journal: Indian Journal of Animal Sciences
    Year: 2024

  1. Decoding bovine coronavirus immune targets: an epitope informatics approach
    Authors: Rani, S., Khatoon, M., Hiremath, J., Yamini Sri, S., Patil, S.S.
    Journal: Animal Diseases
    Year: 2024

  1. Transmission patterns of malignant catarrhal fever in sheep and cattle in Karnataka, India
    Authors: Shyamsundar, K.A., Rathnamma, D., Gulati, B.R., Ranganatha, S., Patil, S.S.
    Journal: Veterinary Research Communications
    Year: 2024

  1. Comprehensive Spatial-Temporal and Risk Factor Insights for Optimizing Livestock Anthrax Vaccination Strategies in Karnataka, India
    Authors: Anandakumar, J., Suresh, K.P., Patil, A.V., Patil, S.S., Hemadri, D.
    Journal: Vaccines
    Year: 2024

Anushka Joshi | Data Science | Best Researcher Award

Ms. Anushka Joshi | Data Science | Best Researcher Award

Indian Institute of Technology, Roorkee, India

Author Profile

Early Academic Pursuits 🌟📘

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

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


Professional Endeavors 🚀💼

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

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

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


Contributions and Research Focus 📑🔍

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

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


Accolades and Recognition 🏅✨

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

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

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


Impact and Influence 🌟🌐

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

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


Legacy and Future Contributions 🔮🛠️

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

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

Citations

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

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

Notable Publications 

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

PAMMI KUMARI | Data Science | Best Researcher Award

Ms. Pammi Kumari | Data Science | Best Researcher Award

NIT PATNA, India

Author Profile

🎓Early Academic Pursuits

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

💼Professional Endeavors

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

🔬Contributions and Research Focus

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

🏅Accolades and Recognition

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

🌍Impact and Influence

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

🌟Legacy and Future Contributions

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

Citations

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

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

Notable Publications 

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

Irfan Ali | Operations Research and Statistics | Best Researcher Award

Assist Prof Dr. Irfan Ali - Aligarh Muslim University - India 🏆

Professional Profiles:

Early Academic Pursuits :

His academic journey commenced at Aligarh Muslim University, where he pursued his Bachelor's degree in Statistics, culminating with a Ph.D. in Statistics in 2013. His research during these academic pursuits explored Mathematical Programming Approaches in Reliability and applied Branch and Bound Techniques for solving Integer Programming Problems.

Professional Endeavors :

His professional journey is characterized by his dedicated tenure at Aligarh Muslim University. His roles as Assistant Professor in the Department of Statistics and Operations Research span various grades, showcasing his continuous growth and contribution to academia. Additionally, he served as Visiting Faculty in the Department of Plant Protection at the Faculty of Agriculture, further diversifying his academic engagements.

Contributions and Research Focus in Operations Research and Statistics:

His research expertise lies in Applied Statistics, Optimization, Modeling, and Simulation. His prolific work delves into Stochastic Processes, Mathematical Sciences, and Optimization Techniques, as evidenced by his thesis, publications, and invited talks in various national and international conferences.

Accolades and Recognition :

Throughout his career, he has been recognized for his significant contributions. Notably, he has received invitations to deliver talks at esteemed institutions and international conferences. His involvement in Faculty Development Programs and international workshops underscores his standing in the academic community.

Impact and Influence :

His influence resonates through his teaching experience spanning over eight years. His adeptness in Statistics, Optimization, and Data Science has not only shaped numerous undergraduate and postgraduate students but also contributed to the academic landscape in these fields.

Legacy and Future Contributions :

As an Assistant Professor, He continues to contribute to the realms of Applied Statistics and Optimization theory. His focus on research, teaching, and participation in diverse academic forums indicates a trajectory towards further impactful contributions and the potential to inspire future statisticians and researchers.

Citations:

A total of 2448 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

                   Citations            1373           1075
                    h-index               22                20
                   i10-index             44                36

Notable Publications :