Ms Riya Ghosh | Time-frequency Analysis | Best Researcher Award |

Ms. Riya Ghosh | Time-frequency Analysis | Best Researcher Award

Indian Institute of Technology (Indian School of Mines) Dhanbad,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Ms. Riya Ghosh is a dedicated researcher and educator specializing in computational harmonic analysis. Currently pursuing her Ph.D. in Mathematics at the Indian Institute of Technology (ISM) Dhanbad, she focuses on mathematical sampling theory, Fourier analysis, and time-frequency analysis. With a solid academic background and a passion for teaching, Riya is committed to advancing her field while inspiring the next generation of mathematicians.

🎓 Educational Background:

Riya Ghosh is currently completing her Ph.D. in Mathematics at the Indian Institute of Technology (ISM) Dhanbad, with an expected award date of December 2024. Her thesis, titled “Sampling with Derivatives and Time-frequency Analysis for Some Specific Functions,” is supervised by Prof. A. Antony Selvan. She earned her M.Sc. in Mathematics and Computing from IIT (ISM) Dhanbad in 2020, achieving a CGPA of 9.5 and receiving the Gold Medal for being the top student in her department. Riya completed her B.Sc. in Mathematics at West Bengal State University in 2017.

🔍 Research Focus:

Riya’s research centers on computational harmonic analysis, specifically mathematical sampling theory, Fourier analysis, and time-frequency analysis. Her work addresses complex problems in sampling with derivatives, Gabor frames, and interpolation of periodic non-uniform samples. Through her contributions, she aims to enhance the understanding and application of these mathematical concepts in various fields.

🏆 Honors & Awards:

Riya has received numerous honors throughout her academic journey. She was awarded the Inspire Fellowship by the Government of India from 2014 to 2017, along with the Merit Cum Means Scholarship during her M.Sc. program. Riya has also excelled in academic competitions, notably earning the JAM (Joint Admission Test for Mathematics) qualification in 2017 and 2018. In 2024, she was recognized for her research efforts with the Best Paper Presentation award at the International Conference on Functional Analysis and Fractals and the Best Poster Presentation at the Strobl24 Conference in Austria.

💼 Professional Experience:

Riya has gained valuable teaching experience as a Teaching Assistant at IIT (ISM) Dhanbad since January 2021, where she supports students in their mathematical studies. Additionally, she participated in the Summer Workshop in Applied Mathematics at the Tata Institute of Fundamental Research (TIFR) in Bangalore in 2021. Earlier, Riya served as an Assistant Teacher at a West Bengal government school, where she contributed to early education from February 2017 to July 2018.

📚 Top Noted Publications :

Exponential Type Bases on a Finite Union of Certain Disjoint Intervals of Equal Length” – Banach Journal of Mathematical Analysis (2022).

Sampling with Derivatives in Periodic Shift-Invariant Spaces” – Numerical Functional Analysis and Optimization (2022).

Zeros of Self-Inversive Polynomials with an Application to Sampling Theory” – Applied Mathematics and Computation (2023).

.Conclusion:

Riya Ghosh demonstrates outstanding potential for the Best Researcher Award due to her strong academic background, significant research contributions, and recognition in her field. By addressing areas for improvement, particularly in expanding the impact of her research and enhancing her networking skills, she could further solidify her standing in the academic community. Her commitment to both teaching and research positions her as a valuable asset to any academic institution. Given her achievements and potential, she is a strong candidate for the award, with the possibility of making substantial contributions to mathematics and its applications in the future.

Dr Sumaira Mubarik | BioStatistics | Best Researcher Award |

Dr. Sumaira Mubarik | BioStatistics | Best Researcher Award.

University of Groningen,Netherlands

Professional Profiles:

SCOPUS

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Dr. Sumaira Mubarik is a dedicated statistician specializing in biostatistics, regression modeling, stochastic mortality models, age-period-cohort models, survival analysis, disease modeling, and epidemiology. She is currently a TT-Assistant Professor of Pharma Data Science and Statistics at the University of Groningen. Dr. Mubarik has a strong academic background, extensive research experience, and numerous publications in high-impact journals. Her work has been recognized with multiple awards and scholarships, highlighting her contributions to the field of statistics and public health.

🎓 Education:

Dr. Mubarik completed her Ph.D. in Statistics from Wuhan University, China, in 2021, with a thesis focused on stochastic modeling and prediction of breast cancer risk transitions using the age-period-cohort framework. She holds an M.Phil in Statistics from Arid Agriculture University Rawalpindi, Pakistan (2012), where she researched quantile regression analysis of blood pressure levels for different factors in adults. She also earned an MSc in Statistics from the same university in 2009 and a BSc in Mathematics, Statistics, and Computer Science from Punjab University, Pakistan, in 2007. Her early education includes an FSc in Mathematics, Statistics, and Computer Science from BISE, Rawalpindi, Pakistan (2005).

🔍 Research Focus:

Dr. Mubarik’s research interests lie in applied statistics, biostatistics, regression modeling, stochastic mortality models, age-period-cohort models, survival analysis, disease modeling, and epidemiology. She focuses on understanding the demographic patterns and health outcomes of diseases like breast cancer and cardiovascular diseases, employing advanced statistical methods to predict mortality and disease transitions.

🏆 Honors & Awards:

Dr. Mubarik has received several prestigious awards, including the Chinese Government Scholarship under the China Scholarship Council PhD Program (2018), and the Wuhan University Outstanding International Students Scholarship for first prize in academic achievement in 2020 and 2021. She was also honored with the Excellent International Student Award from the Ministry of Education China in 2020. Additionally, she has been recognized for her pedagogical innovation and has received multiple appreciation awards for conducting successful SPSS training workshops.

Professional Experience: 💼

Dr. Mubarik’s professional journey includes her current role as TT-Assistant Professor at the University of Groningen (2023-present). She served as a Postdoctoral Researcher at the School of Public Health, Wuhan University, China (2022-2024). Her previous positions include Statistical Officer at the Armed Forces Institute of Pathology, Combined Military Hospital/National University of Medical Sciences, Rawalpindi, Pakistan (2017-2018), Statistical Assistant/Researcher at Allama Iqbal Open University, Islamabad, Pakistan (2016-2017), Lecturer at Bahria University Islamabad, Pakistan (2015-2016), and Federal Kintaar College for Boys Rawalpindi, Pakistan (2012-2015). She also served as a Visiting Lecturer at Arid Agriculture University Rawalpindi, Pakistan (2010-2014).

📚 Top Noted Publications :

Global burden of cardiovascular diseases and risk factors, 1990–2019: Update from the GBD 2019 study

Authors: GA Roth, GA Mensah, CO Johnson, G Addolorato, E Ammirati, …

Journal: Journal of the American College of Cardiology

Citation: 6501

Year: 2020

 

Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis

Authors: JM Kocarnik, K Compton, FE Dean, W Fu, BL Gaw, JD Harvey, …

Journal: JAMA Oncology

Citation: 1101

Year: 2022

 

Global mortality associated with 33 bacterial pathogens in 2019: A systematic analysis for the Global Burden of Disease Study 2019

Authors: KS Ikuta, LR Swetschinski, GR Aguilar, F Sharara, T Mestrovic, AP Gray, …

Journal: The Lancet

Citation: 710

Year: 2022

 

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: A systematic analysis

Authors: GBD 2019 Tobacco Collaborators

Journal: The Lancet (London, England)

Citation: 511

Year: 2021

Author Metrics 📊 : 

Dr. Mubarik’s research has been published in high-impact journals with impressive metrics, such as an impact factor of 9.3 for BMC Medicine and 5.7 for Frontiers in Oncology. Her work is well-cited, reflecting the relevance and impact of her research in the field of public health and biostatistics.

📅 Research Timeline:

Dr. Mubarik’s research journey began with her M.Phil and MSc at Arid Agriculture University Rawalpindi, where she focused on statistical analyses of health data. Her Ph.D. research at Wuhan University marked a significant contribution to the understanding of breast cancer risk transitions. Her postdoctoral work at Wuhan University further solidified her expertise in public health and epidemiology, leading to her current academic role at the University of Groningen, where she continues to advance research in biostatistics and disease modeling.

Dr Paramasivam A | Biomedical Instrumentation | Young Scientist Award |

Dr. Paramasivam A | Biomedical Instrumentation | Young Scientist Award.

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

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Paramasivam Alagumariappan is an accomplished Indian academic and researcher specializing in Artificial Intelligence in Healthcare, Internet of Things, Bio-Signal & Bio-Image Processing, Power Electronics & Drives, Robotics and Automation, and Wearables in Healthcare. Currently, he serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With 11 years of experience spanning academia, research, and industry, Dr. Alagumariappan has made significant contributions to his fields of expertise.

🎓 Education:

Dr. Paramasivam Alagumariappan obtained his Ph.D. in Biomedical Engineering from Anna University, Chennai, where he completed his research from February 2, 2016, to May 27, 2019. He earned his M.E. in Power Electronics and Drives from Karpaga Vinayaga College of Engineering and Technology, affiliated with Anna University, from July 18, 2011, to July 17, 2013. He holds a B.E. in Instrumentation and Control Engineering from Sethu Institute of Technology, also affiliated with Anna University, which he completed from June 20, 2007, to June 18, 2010. Additionally, he has a Diploma in Electrical and Electronics Engineering from Ramu Seetha Polytechnic College, completed from June 21, 2004, to June 20, 2007.

🔍 Research Focus:

Dr. Alagumariappan’s research interests encompass a broad spectrum of advanced technological fields, including Artificial Intelligence in Healthcare, Internet of Things, Bio-Signal & Bio-Image Processing, Power Electronics & Drives, Robotics and Automation, and Wearables in Healthcare. His work aims to leverage these technologies to develop innovative solutions that enhance healthcare delivery and improve patient outcomes.

🏆 Honors & Awards:

Dr. Alagumariappan has been recognized for his outstanding achievements and contributions to research and academia. In 2023, he received a cash incentive of Rs. 20,000 from Vel Tech University for his accomplishments in publications, granted patents, funded projects, and consultancy. He was also awarded a Rs. 50,000 Research Development Fund (RDF) from Vel Tech University for his exceptional publication record in the same year. His guidance led student projects to win top prizes in prestigious competitions, such as the 13th International Project Competition and Exhibition (VISAI – 2023) and the National Level Technical Symposium at SRM Easwari Engineering College.

Professional Experience: 💼

Dr. Alagumariappan has extensive professional experience, beginning as an Automation Trainee at i-Max Industrial Automation Technologies in Thanjavur in 2010. He has served as an Assistant Professor in several institutions, including Karpaga Vinayaga College of Engineering and Technology (June 2013 – February 2016), B.S.Abdur Rahman Crescent Institute of Science and Technology (July 2018 – August 2021), and currently at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (August 2021 – Present). He also conducted research at the Department of Instrumentation and Control Engineering, MIT Campus, Anna University, from February 2016 to July 2018.

📚 Top Noted Publications :

Intelligent Plant Disease Identification System using Machine Learning

Authors: P. Alagumariappan, N.J. Dewan, G.N. Muthukrishnan, B.K.B. Raju, R.A.A. Bilal, …

Journal: Engineering Proceedings

Volume: 2

Issue: 1

Pages: 49-37

Year: 2020

 

Effect of Electrode Contact Area on the Information Content of the Recorded Electrogastrograms: An Analysis based on Rényi Entropy and Teager-Kaiser Energy

Authors: A. Paramasivam, K. Kamalanand, K. Sundravadivelu, P. Mannar Jawahar

Journal: Polish Journal of Medical Physics and Engineering

Volume: 23

Issue: 2

Pages: 37-42

Year: 2017

 

Complexity Analysis on Normal and Abnormal Electrogastrograms Using Tsallis Entropy

Authors: P. Alagumariappan, A. Rajagopal, K. Krishnamurthy

Journal: Sciforum Electronic Conference Series

Volume: 3

Pages: 13

Year: 2016

 

An Approach Based on Information Theory for Selection of Systems for Efficient Recording of Electrogastrograms

Authors: A. Paramasivam, K. Kamalanand

Conference: Proceedings of the International Conference on Computing and Communication …

Pages: 12*

Year: 2018

 

Analysis of an Enhanced Positive Output Super-Lift Luo Converter for Renewable Energy Applications

Authors: A. Paramasivam, K.B. Bhaskar, N. Madhanakkumar, C. Vanchinathan

Book: Advances in Smart Grid Technology: Select Proceedings of PECCON 2019—Volume …

Pages: 9*

Year: 2020

Author Metrics 📊 : 

Dr. Alagumariappan’s scholarly impact is evident through his author metrics. His Google Scholar profile shows significant citations, demonstrating the influence and reach of his research. He is also listed on Scopus, ORCID, and Web of Science, where his works are tracked and cited by peers in the scientific community.

📅 Research Timeline:

Dr. Alagumariappan’s research journey began with his diploma in Electrical and Electronics Engineering, followed by his B.E., M.E., and Ph.D. studies, culminating in a robust career in academia and research. His professional timeline includes roles that progressively built his expertise and contributions to biomedical engineering, power electronics, and automation, leading to his current position as an Assistant Professor and a recognized researcher at Vel Tech University.

Dr D FERLIN DEVA SHAHILA | Image processing | Best Researcher Award |

Dr D. FERLIN DEVA SHAHILA | Image processing | Best Researcher Award.

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

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. D. Ferlin Deva Shahila is an accomplished researcher and academic with a strong background in Electrical and Electronics Engineering. She has earned her Ph.D. with a focus on image enhancement techniques, contributing significantly to the field of digital image processing. Dr. Shahila is known for her innovative research, publications in prestigious journals, and active participation in international conferences.

🎓 Education:

Dr. Shahila began her academic journey with a Diploma in Electrical and Electronics from Moderator Gnanadason Polytechnic, under Manonmaniam Sundaranar University, where she graduated with first-class honors in April 2000. She then pursued her B.E. in Electronics and Communication Engineering from Sun College of Engineering and Technology, also under Manonmaniam Sundaranar University, graduating in April 2003 with a first-class degree. She completed her M.E. in Electronics and Communication Engineering from C.S.I. Institute of Technology, affiliated with Anna University, Thirunelveli, in June 2010, again securing first-class marks. Dr. Shahila obtained her Ph.D. from NI University in November 2021, focusing on empirical studies and the development of image enhancement techniques.

🔍 Research Focus:

Dr. Shahila’s research primarily revolves around digital image processing, specifically the enhancement of image quality. Her Ph.D. thesis involved developing a Parallel Non-linear De-Blocking (PN-DB) method to improve digital image quality by minimizing blocking artifacts. This method integrates adaptive structures directional lifting with discrete wavelet transform, direction-aligned optimal decision models, and a constant coefficient-based sin interpolation filter. Her work aims to advance the efficiency of digital image transmission and processing systems.

🏆 Honors & Awards:

Throughout her career, Dr. Shahila has been recognized for her contributions to the field of image processing and digital communication. She has been awarded for her innovative research and active participation in academic and professional communities. Her dedication to advancing technology and improving digital image quality has earned her numerous accolades and honors.

Professional Experience: 💼

Dr. Shahila has held various academic and research positions, contributing significantly to the development of advanced digital image processing techniques. She has been involved in teaching and mentoring students, guiding them in their research projects, and collaborating with fellow researchers on various innovative projects. Her professional experience also includes presenting papers at international conferences and publishing research in renowned journals.

📚 Top Noted Publications :

Title: IOT Based Remote Heartbeat Monitoring
Authors: S. Joseph, D. F. Deva Shahila, S. Patnaik
Citation Index: 10
Year of Publication: 2019
Conference: 2019 International Conference on Advances in Computing, Communication and …

Title: Soft Computing-Based Non-Linear Discriminate Classifier for Multimedia Image Quality Enhancement
Authors: D. F. Deva Shahila, S. H. Krishnaveni, V. Stephen
Journal: International Journal of Computers and Applications
Volume: 43, Issue 7, Pages 674-683
Citation Index: 4
Year of Publication: 2021

Title: Detection of Retinal Hemorrhage Using Splat Feature Classification Technique
Authors: Ferlin Deva Shahila D., R. V. Athira
Journal: International Journal of Engineering Research and Applications
ISSN: 2248-9622
Citation Index: 4
Year of Publication: Not specified

Title: Quality Assessment on Digital Images Using Parallel Non-Linear De-Blocking Model
Authors: D. F. D. Shahila, S. H. Krishnaveni
Journal: WSEAS Transactions on Signal Processing
Volume: 12, Pages 118-129
Year of Publication: 2016

Author Metrics 📊 : 

Dr. Shahila’s research contributions have been widely recognized and cited in the academic community. Her publications have been indexed in reputable journals, and her work has been referenced by other researchers in the field. She has also been involved in reviewing articles for various scientific journals, further establishing her as an authority in digital image processing.

📅 Research Timeline:

Dr. Shahila’s research journey began with her diploma in 2000 and continued with her B.E. in 2003 and M.E. in 2010. Her significant research contributions started during her Ph.D. studies, which she completed in 2021. Since then, she has published multiple papers and presented her work at international conferences, focusing on advancing digital image enhancement techniques and their applications in various fields. Her research timeline reflects her dedication to improving image processing systems and her continuous effort to contribute to technological advancements.