Nikolay M. Sirakov | Data Science | Excellence in Research Award

Prof. Nikolay M. Sirakov | Data Science | Excellence in Research Award

Prof. Nikolay M. Sirakov, East Texas A&M University, Dept. Mathematics, United States.

Nikolay Metodiev Sirakov is a Professor of Mathematics at East Texas A&M University ๐Ÿซ, specializing in pattern recognition, machine learning, and mathematical modeling ๐Ÿ”ฌ. With a Ph.D. from the Bulgarian Academy of Sciences ๐ŸŽ“, his research spans image processing, artificial intelligence, and biomedical applications ๐Ÿง . He has collaborated with leading global institutions ๐ŸŒ and supervised numerous Ph.D. and Master’s students ๐Ÿ“š. His contributions to computer vision and AI-driven diagnostics ๐Ÿค– have earned him international recognition. โœจ

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Nikolay Metodiev Sirakov’s academic journey began with rigorous training at Bulgaria’s top institutions, including the Bulgarian National High School of Mathematics and CS. He pursued undergraduate studies at Sofia University, earning his B.S. in Mathematics and Computer Science. He went on to complete his Master’s in Coding Theory at Sofia University and later obtained his Ph.D. from the Bulgarian Academy of Sciences, specializing in Pattern Recognition.

๐Ÿ’ผ Professional Endeavors

Sirakov has held various prestigious academic positions, including professor and associate professor at Texas A&M University-Commerce since 2004. He also served as a senior researcher and invited professor at institutions like Instituto Superior Tecnico, Lisbon, and Northern Arizona University. His leadership includes chairing committees and collaborating with diverse institutions globally.

๐Ÿ”ฌ Contributions and Research Focus On Data Scienceย 

Sirakov’s research spans machine learning, image processing, and biomedical applications, with significant contributions to skin cancer diagnosis, tracking objects in video, and automatic threat detection. He has led multiple international collaborations, publishing numerous peer-reviewed papers and advancing computational techniques, particularly in sparse representation and neural network

๐ŸŒ Impact and Influence

With his vast expertise, Sirakov has influenced fields such as medicine, security, and robotics, making a profound impact on medical imaging and biomechanics. His work in automated melanoma diagnosis has gained recognition in the medical community, while his contributions to video object tracking and image segmentation remain highly influential in computer vision.

๐Ÿ† Awards and Honors

  • Best Paper Award โ€“ Oluwaseyi Igbasanmi, Nikolay M. Sirakov, and Adam Bowden were recognized for their paper, CNN for Efficient Objects Classification with Embedded Vector Fields, presented at ICCIDA2023 and published in the Springer book series. ๐Ÿ“š

  • 2nd Place Winner in Mathematics โ€“ Elisha Shachar received recognition for the project on An Artificial Intelligence-Based Driving Environment Descriptor: Voice Alerts to Drivers at the 15th TAMU System Pathway Students Symposium. ๐Ÿš—

  • 1st Place Winner in Mathematics โ€“ Mengzhe Chen, supervised by Nikolay Sirakov, presented Singular Points of the Gradient Field of the Poisson Partial Differential Equation Solution on an Image at the TAMU System Pathway Students Symposium. ๐Ÿ”ข

  • Lockheed Martin Best Paper Award โ€“ Awarded to a team for their paper, From Shape to Threat: Exploiting the Convergence Between Visual and Conceptual Organization for Weapon Identification and Threat Assessment. ๐ŸŽ–

๐Ÿš€ Legacy and Future Contributions

Sirakov’s legacy is built on his innovative contributions to computational science and biomedical engineering. Looking ahead, his continued work in machine learning and medical applications promises to influence the next generation of scientific advancements in healthcare technologies and security systems.

๐Ÿ“šPublications Top Notes

  • A system for reconstructing and visualizing three-dimensional objects
    Citations: 70 ๐Ÿ“Š
    Year: 2001 ๐Ÿ—“๏ธ

  • Lesion detection in dermoscopy images with novel density-based and active contour approaches
    Citations: 51 ๐Ÿ“ˆ
    Year: 2010 ๐Ÿฉบ

  • A new active convex hull model for image regions
    Citations: 36 ๐Ÿ“
    Year: 2006 ๐Ÿ”

  • Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features
    Citations: 35 ๐Ÿ’ก
    Year: 2012 ๐Ÿง‘โ€โš•๏ธ

  • Interpolation approach for 3D smooth reconstruction of subsurface objects
    Citations: 34 ๐ŸŒ
    Year: 2002 ๐Ÿ–ฅ๏ธ

  • Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions
    Citations: 30 ๐Ÿ”ฌ
    Year: 2011 ๐Ÿง 

  • Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications
    Citations: 26 ๐Ÿ’‰
    Year: 2015 ๐Ÿ“Š

  • Intelligent shape feature extraction and indexing for efficient content-based medical image retrieval
    Citations: 26 ๐Ÿ”
    Year: 2004 ๐Ÿฅ

  • Recognition of emotional states in natural human-computer interaction
    Citations: 23 ๐Ÿ˜
    Year: 2008 ๐Ÿค–

  • An integral active contour model for convex hull and boundary extraction
    Citations: 22 ๐Ÿž๏ธ
    Year: 2009 ๐Ÿ”ง

  • Threat assessment using visual hierarchy and conceptual firearms ontology
    Citations: 19 ๐Ÿ”ซ
    Year: 2015 ๐Ÿšจ

  • Search space partitioning using convex hull and concavity features for fast medical image retrieval
    Citations: 19 ๐Ÿ”Ž
    Year: 2004 ๐Ÿฅ

  • Optimal set of features for accurate skin cancer diagnosis
    Citations: 18 ๐Ÿฉบ
    Year: 2014 ๐Ÿงฌ

  • Skin lesion feature vectors classification in models of a Riemannian manifold
    Citations: 17 ๐Ÿฅ
    Year: 2015 ๐Ÿ”ฌ

  • Automatic feature extraction and recognition for digital access of books of the Renaissance
    Citations: 15 ๐Ÿ“š
    Year: 2000 ๐Ÿ”

  • Sparse representation wavelet-based classification
    Citations: 11 ๐Ÿ–ผ๏ธ
    Year: 2018 ๐Ÿ’ป

  • A novel classification system for dysplastic nevus and malignant melanoma
    Citations: 11 ๐Ÿฉบ
    Year: 2016 ๐ŸŒŸ

  • New accurate automated melanoma diagnosing systems
    Citations: 11 ๐Ÿงฌ
    Year: 2015 โš•๏ธ

  • Weapon ontology annotation using boundary describing sequences
    Citations: 11 ๐Ÿ”ซ
    Year: 2012 ๐Ÿ›ก๏ธ

  • Active contour directed by the Poisson gradient vector field and edge tracking
    Citations: 10 ๐Ÿ–ฅ๏ธ
    Year: 2021 ๐Ÿ“‰

  • Comparing 2D borders using regular structures
    Citations: 10 ๐Ÿ”
    Year: 1994 ๐Ÿ–ผ๏ธ

  • Support vector machine skin lesion classification in Clifford algebra subspaces
    Citations: 9 ๐Ÿฉบ
    Year: 2019 ๐Ÿ“ˆ

  • Poisson equation solution and its gradient vector field to geometric features detection
    Citations: 9 ๐Ÿ”ฌ
    Year: 2018 ๐Ÿ”ง

  • Integration of low-level and ontology-derived features for automatic weapon recognition and identification
    Citations: 9 ๐Ÿ›ก๏ธ
    Year: 2011 ๐Ÿ’ก

  • Monotonic vector forces and Green’s theorem for automatic area calculation
    Citations: 9 ๐Ÿ”
    Year: 2007 ๐Ÿ“

  • A new automatic concavity extraction model
    Citations: 9 ๐Ÿ”
    Year: 2006 ๐Ÿง 

  • Classification with stochastic learning methods and convolutional neural networks
    Citations: 8 ๐Ÿค–
    Year: 2020 ๐Ÿ’ป

  • From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment
    Citations: 8 ๐Ÿ”ซ
    Year: 2013 ๐Ÿ›ก๏ธ

  • Skin lesion image classification using sparse representation
    Citations: 8 ๐Ÿฉบ
    Year: 2018 ๐Ÿ“Š

 

Inder Sekhar Yadav | Economics | Best Researcher Award

Assoc. Prof. Dr. Inder Sekhar Yadav | Economics | Best Researcher Awardย 

Assoc. Prof. Dr. Inder Sekhar Yadav, Indian Institute of Technology Kharagpur, India.

Dr. Inder Sekhar Yadav (Ph.D.) is an Associate Professor at the Department of Humanities and Social Sciences, IIT Kharagpur ๐Ÿ›๏ธ. Specializing in Financial Economics, Corporate Finance, and Agricultural Economics ๐Ÿ“Š, he has guided multiple Ph.D. and M.Sc. scholars ๐ŸŽ“. With extensive research in public enterprises, financial markets, and rural development, he has received prestigious awards ๐Ÿ†, including the Prof. M. J. Manohar Rao Young Economist Award. His contributions to academia and policy research continue to shape economic thought globally. ๐ŸŒ

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Dr. Inder Sekhar Yadav embarked on his academic journey with a strong foundation in Economics. He completed his Ph.D. in Economics from the University of Hyderabad in 2009, following his M.Phil. (2005) and M.A. (2003) in the same field. His early academic years were marked by a keen interest in financial economics, corporate finance, and development studies, laying the groundwork for his future research and professional endeavors.

๐Ÿ’ผ Professional Endeavors

Dr. Yadav has an extensive teaching and research career. He is currently serving as an Associate Professor at the Department of Humanities and Social Sciences, IIT Kharagpur, a position he has held since October 2021. His professional journey includes roles as an Assistant Professor at IIT Kharagpur (2015-2021), the Institute of Public Enterprise, Hyderabad (2011-2015), and IFHE, Hyderabad (2010-2011). Additionally, he contributed as a Junior Consultant at the Institute of Economic Growth, RBI Endowment Unit, Delhi University (2008-2010), where he developed his expertise in economic analysis and policy research.

๐Ÿ”ฌ Contributions and Research Focus On Economicsย 

Dr. Yadav’s research spans various domains, including Financial Economics, Corporate Finance, Industrial Economics, Labour Economics, and Agricultural Economics. As a Principal Investigator, he has led significant projects, such as the Assessment of Disparity of Agricultural Credit and its Impact on Farm Production in India and Measuring Efficiency in Central Public Enterprises in India. As a Co-Principal Investigator, he has worked on critical issues like profitability in agricultural sectors and agri-marketing policies for small farmers. His research has profound implications for economic growth, financial markets,

๐ŸŒ Impact and Influence

Dr. Yadav’s impact extends beyond academia. He has mentored five awarded Ph.D. scholars and is currently guiding seven more. Additionally, he has supervised over 30 MSc theses at IIT Kharagpur. His influence is evident in his role as a faculty member, administrator, and researcher, shaping the next generation of economists and policymakers.

๐Ÿ† Awards and Honors

Dr. Yadav’s excellence has been acknowledged with prestigious accolades, including:

  • Prof. M. J. Manohar Rao Young Economist Award (2013) by The Indian Econometric Society.
  • ICSSR Centrally Administered Doctoral Fellowship (2006-08) under the Ministry of HRD.
  • Best Paper Awards at the IIM Indore Research Conference (2012) and International Conference on Business and Finance (2010).
  • UGC-NET qualification in Economics (2005, 2006), reinforcing his academic credibility.

๐Ÿ“š Academic Citationsย 

Dr. Yadav has actively contributed to international and national conferences, presenting research on financial development, economic growth, and investment trends. Notable conferences include the Development Economics Conference, University of Lincoln (2024), and the Southern Economic Association meetings (2022, 2016). His work on financial integration, macroeconomic volatility, and corporate investment strategies has been widely recognized in academic circles.

๐Ÿš€ Legacy and Future Contributions

Dr. Yadavโ€™s contributions to economics and finance continue to shape policy discourse and academic inquiry. His commitment to mentoring young researchers, leading impactful projects, and publishing influential research ensures a lasting legacy in the field. Looking ahead, he aims to expand interdisciplinary collaborations, enhance economic modeling techniques, and contribute to policy development in financial markets and agricultural economics.

His journey, marked by academic excellence, impactful research, and dedicated mentorship, reflects his unwavering commitment to the advancement of economic sciences and financial policy development.

๐Ÿ“šPublications Top Notes

1๏ธโƒฃ Financial development and economic growth: panel evidence from BRICS
๐Ÿ“– Journal of Economics, Finance and Administrative Science 24 (47), 113-126
๐Ÿ”ข Citations: 465 | ๐Ÿ“† Year: 2019

2๏ธโƒฃ The nexus between firm size, growth and profitability: new panel data evidence from Asiaโ€“Pacific markets
๐Ÿ“– European Journal of Management and Business Economics 31 (1), 115-140
๐Ÿ”ข Citations: 110 | ๐Ÿ“† Year: 2022

3๏ธโƒฃ Does corporate governance affect dividend policy in India? Firm-level evidence from new indices
๐Ÿ“– Managerial Finance 45 (9), 1219-1238
๐Ÿ”ข Citations: 55 | ๐Ÿ“† Year: 2019

4๏ธโƒฃ Explaining Indiaโ€™s current account deficit: A time series perspective
๐Ÿ“– Journal of Asian Business and Economic Studies 26 (1), 117-138
๐Ÿ”ข Citations: 45 | ๐Ÿ“† Year: 2019

5๏ธโƒฃ Role of corporate governance in determining dividend policy: Panel evidence from India
๐Ÿ“– International Journal of Trade, Economics and Finance 9 (3), 111-115
๐Ÿ”ข Citations: 37 | ๐Ÿ“† Year: 2018

6๏ธโƒฃ The size and growth of firms: new evidence on law of proportionate effect from Asia
๐Ÿ“– Journal of Asia Business Studies 14 (1), 91-108
๐Ÿ”ข Citations: 23 | ๐Ÿ“† Year: 2020

7๏ธโƒฃ Agricultural credit and productivity of crops in India: field evidence from small and marginal farmers across social groups
๐Ÿ“– Journal of Agribusiness in Developing and Emerging Economies 14 (3), 435-454
๐Ÿ”ข Citations: 22 | ๐Ÿ“† Year: 2024

8๏ธโƒฃ Macroeconomic Relationship in India: ARDL Evidence on Cointegration and Causality
๐Ÿ“– Journal of Quantitative Economics 9 (1), 156-168
๐Ÿ”ข Citations: 20 | ๐Ÿ“† Year: 2011

9๏ธโƒฃ Causality between Public Expenditure and National Income in India: A Reexamination
๐Ÿ“– The IUP Journal of Public Finance, 36-51
๐Ÿ”ข Citations: 20 | ๐Ÿ“† Year: 2007

๐Ÿ”Ÿ Stock market integration and volatility spillovers: new evidence from Asiaโ€“Pacific and European markets
๐Ÿ“– The Journal of Risk Finance 24 (2), 186-211
๐Ÿ”ข Citations: 14 | ๐Ÿ“† Year: 2023

๐Ÿ”น Saving, Investment and Growth in India: Evidence from Cointegration and Causality Tests
๐Ÿ“– Economic Alternatives 12 (1), 55-68
๐Ÿ”ข Citations: 14 | ๐Ÿ“† Year: 2018

๐Ÿ”น Financial markets development and financing choice of firms: New evidence from Asia
๐Ÿ“– Asia-Pacific Financial Markets 26 (4), 429-451
๐Ÿ”ข Citations: 13 | ๐Ÿ“† Year: 2019

๐Ÿ”น Product market competition, agency cost and dividend payouts: new evidence from emerging market
๐Ÿ“– Journal of Management and Governance 26 (3), 925-956
๐Ÿ”ข Citations: 10 | ๐Ÿ“† Year: 2022

๐Ÿ”น Financial integration in Asia: a macroeconomic perspective
๐Ÿ“– The Developing Economies 59 (1), 64-101
๐Ÿ”ข Citations: 9 | ๐Ÿ“† Year: 2021

๐Ÿ”น Information-sharing experiences of professionals looking after children with cancer: a qualitative exploration from a specialist paediatric oncology unit in India
๐Ÿ“– ecancermedicalscience 16, 1399
๐Ÿ”ข Citations: 7 | ๐Ÿ“† Year: 2022

๐Ÿ”น The profitability and size of Indian companies: An empirical analysis
๐Ÿ“– South Asian Journal of Management 21 (1), 32
๐Ÿ”ข Citations: 6 | ๐Ÿ“† Year: 2014

๐Ÿ”น Dividend behavior of Indian firms: new evidence from large data set
๐Ÿ“– Journal of Asia-Pacific Business 22 (1), 4-38
๐Ÿ”ข Citations: 5 | ๐Ÿ“† Year: 2021

๐Ÿ”น Industrial Structure and Performance in AP and Gujarat vis-a-vis India: A Comparative Study using ASI Data
๐Ÿ“– The Journal of Industrial Statistics 2 (2), 258-280
๐Ÿ”ข Citations: 5 | ๐Ÿ“† Year: 2013

๐Ÿ”น Co-integration, Causality, Money and Income in India
๐Ÿ“– Journal of Quantitative Economics
๐Ÿ”ข Citations: 5 | ๐Ÿ“† Year: 2008

๐Ÿ”น Disparity of agricultural credit in India: field data evidence from farmers across social groups
๐Ÿ“– International Journal of Social Economics 50 (2), 180-194
๐Ÿ”ข Citations: 4 | ๐Ÿ“† Year: 2023

๐Ÿ”น Financial integration and macroeconomic volatility: evidence from Asia
๐Ÿ“– Journal of Economic and Administrative Sciences 35 (2), 94-112
๐Ÿ”ข Citations: 4 | ๐Ÿ“† Year: 2019

๐Ÿ”น Dynamics of capital controls: panel evidence from Asia
๐Ÿ“– Journal of Economic Studies 47 (2), 242-263
๐Ÿ”ข Citations: 3 | ๐Ÿ“† Year: 2020

 

Yanmiao Ma | Molecular Biology | Best Researcher Award

Assoc. Prof. Dr. Yanmiao Ma | Molecular Biology | Best Researcher Award

Assoc. Prof. Dr. Yanmiao Ma, Shanxi University of Traditional Chinese Medicine, China.

๐Ÿ”ฌ Dr. Yanmiao Ma is a distinguished researcher specializing in biomedical engineering and materials science. With a strong focus on nanomaterials ๐Ÿงช and drug delivery systems ๐Ÿ’Š, Dr. Ma has contributed significantly to biomedical advancements. Hisย  has authored numerous high-impact publications ๐Ÿ“– and received prestigious research awards ๐Ÿ†. Passionate about innovation and interdisciplinary collaboration ๐Ÿค,ย  his continues to push the boundaries of medical technology. His work is shaping the future of healthcare solutions ๐Ÿฅ.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Yanmiao Ma embarked on a distinguished academic journey in Traditional Chinese Medicine (TCM), laying a strong foundation with a B.S. in Clinical Traditional Chinese Medicine from Shanxi College of Traditional Chinese Medicine (2002โ€“2007).His further honed his expertise by earning an M.S. in Traditional Chinese Medicine from Shanxi Institute of Traditional Chinese Medicine (2007โ€“2010).His pursuit of excellence culminated in a Ph.D. in Basic Medical Sciences from Hubei University of Chinese Medicine (2010โ€“2013), where his focused on the mechanisms underlying TCM treatments for autoimmune diseases

๐Ÿ’ผ Professional Endeavors

Dr. Ma’s career is marked by significant academic and research contributions. His currently serves as an Associate Professor at the School of Basic Medical Sciences, Shanxi University of Chinese Medicine (2017โ€“Present).His dedication to advancing biomedical research led his to a Visiting Scholar position at the School of Life Sciences, Shaanxi Normal University (2021โ€“2022), specializing in Bioinformatics. Additionally,his participated in training programs under the Ministry of Education, focusing on English teaching for international students (2018). Previously,His contributed as a Lecturer at Shanxi University of Chinese Medicine (2013โ€“2017).

๐Ÿ”ฌ Contributions and Research Focus On Molecular Biologyย 

Dr. Maโ€™s research spans multiple domains of rheumatology, immunology, gut microbiota, and cancer immunology.His work explores the mechanisms of TCM in treating rheumatoid arthritis (RA), particularly through immune regulation and synovial apoptosis, emphasizing the JAK-STAT/NF-ฮบB signaling pathways.His is actively investigating the gut-joint axis in autoimmune diseases and pioneering fecal microbiota transplantation (FMT) for RA therapy.His contributions to cancer immunology focus on breast cancer stem cells, epithelial-mesenchymal transition (EMT), and lncRNA/miRNA regulatory networks, integrating TCM compounds such as icariin and ephedra polysaccharides into tumor microenvironment modulation.

๐ŸŒ Impact and Influence

Dr. Maโ€™s research has significantly advanced the understanding of TCMโ€™s role in modern medicine.His studies on gut microbiota, autoimmune diseases, and cancer biology have influenced clinical applications and innovative therapeutic approaches.His has been at the forefront of developing multimodal studies, integrating TCM formulations with advanced biomedical research.His work has led to novel insights into microbial metabolites, immune modulation, and TCM-based drug delivery systems, fostering cross-disciplinary collaboration between traditional and modern medicine.

๐Ÿ† Awards and Honors

Dr. Ma has been the recipient of numerous prestigious research grants and awards, including:

  • Shanxi University of Chinese Medicine Basic-Clinical Collaboration Project (2024โ€“2026)
  • Shanxi Provincial Science Foundation General Project (2024โ€“2027)
  • Shanxi Health Commission TCM Innovation Team Leadership (2024โ€“2027)
  • NSFC Youth Program for groundbreaking research on gut microbiota and rheumatoid arthritis (2022โ€“2024)
    Her contributions have been acknowledged through his leadership in multiple high-impact projects, securing significant research funding.

๐Ÿ“š Academic Citationsย 

Dr. Ma has published extensively in high-impact journals, withHis research frequently cited in the fields of pharmacology, immunology, and biomedical sciences.His notable publications include studies on Ephedra sinica polysaccharides and rheumatoid arthritis, Icariinโ€™s role in breast cancer EMT, and a scientometric analysis of kidney disease and gut microbiota.His research has received international recognition, positioning his as a leading figure in TCM-related biomedical studies.

๐Ÿ“šPublications Top Notes

“Ephedra sinica polysaccharides regulate the anti-inflammatory immunity of intestinal microecology and bacterial metabolites in rheumatoid arthritis. Frontiers in Pharmacology”

“Icariin regulates EMT and stem cell-like character in breast cancer through modulating lncRNA NEAT1/TGFฮฒ/SMAD2 signaling pathway.Biological and Pharmaceutical Bulletin”

“Preโ€‹paration and biocompatibility of demineralized bone matrix/sodium alginate putty”

“Efficacy of Posterior Fossa Decompression with Duraplasty for Patients with Chiari Malformation Type I: A Systematic Review and Meta- Analysis

 

Vaddi Sridhar | Agricultural | Best Researcher Award

Dr. Vaddi Sridhar| Agricultural | Best Researcher Award

Dr. Vaddi Sridhar, ICAR-Indian Institute of Horticultural Research, Bengaluru, India.

Dr. Vaddi Sridhar is a Principal Scientist at ICAR-Indian Institute of Horticultural Research, Bengaluru ๐Ÿ›๏ธ. With a Ph.D. in Agricultural Entomology ๐ŸŽ“ from the Indian Agricultural Research Institute, New Delhi, he specializes in eco-friendly pest management, integrated pest management (IPM), and insecticide resistance management (IRM) ๐Ÿชฒ๐ŸŒฑ. His research contributions include climate change impact on pests, bioclimatic modeling, and sterile insect techniques (SIT) ๐Ÿ›ฐ๏ธ. A prolific author, editor, and innovator, he has led multiple national and international research collaborations, earning recognition for groundbreaking contributions in entomology ๐Ÿ†.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Dr. Vaddi Sridhar embarked on his academic journey with a strong foundation in agricultural sciences. He completed his B.Sc. (Agriculture) in 1990 from Agricultural College, Bapatla, Andhra Pradesh Agricultural University, Hyderabad, focusing on biochemistry, statistics, and agriculture-related subjects. His specialization in Agricultural Entomology began with his M.Sc. (1992) at the same institution and culminated in a Ph.D. (1996) from the prestigious Indian Agricultural Research Institute, New Delhi. His academic focus has always been on eco-friendly pest management strategies, IPM, and climate change adaptation in entomology.

๐Ÿ’ผ Professional Endeavors

With over 27 years of experience, Dr. Sridhar has served in various roles, beginning as a Scientist at the Central Horticultural Experiment Station (IIHR), Bhubaneswar (1997-2001), before progressing to Senior Scientist and eventually Principal Scientist at the Indian Institute of Horticultural Research (IIHR), Bangalore (2012-present). His work has focused on Integrated Pest Management (IPM) and Insecticide Resistance Management (IRM) in horticultural crops, contributing significantly to sustainable agricultural practices

๐Ÿ”ฌ Contributions and Research Focus On Agriculturalย 

Dr. Sridhar has led numerous research projects aimed at eco-friendly pest management, including biocontrol strategies, the use of botanicals, and climate change adaptation in pest control. He pioneered the use of light traps for managing invasive pests such as the South American Tomato Moth (Tuta absoluta) and standardized Sterile Insect Technique (SIT) for pest control. His research has influenced national policies on horticultural pest management and contributed to sustainable agricultural practices

๐ŸŒ Impact and Influence

His work in climate-resilient agriculture has been pivotal in addressing the impact of climate change on insect pests. As part of the National Innovations in Climate Resilient Agriculture (NICRA) project, he applied bioclimatic modeling tools like CLIMEX to assess pest risks. His studies on insecticide resistance in polyhouse populations and the integration of synergists like neem oil in pest control strategies have had a lasting impact on sustainable pest management.

๐Ÿ† Awards and Honors

Dr. Sridharโ€™s exceptional contributions have been recognized through multiple awards and accolades. His work in eco-friendly IPM technologies has earned him national and international recognition, reinforcing his status as a leader in agricultural research. His research findings have significantly improved horticultural crop protection strategies

๐Ÿ“š Academic Citationsย 

Dr. Sridhar has an extensive publication record with numerous papers in peer-reviewed journals, SCI-indexed publications, and Scopus-listed journals. His Google Scholar citation index reflects his contribution to entomological research, showcasing his influence in the scientific community. He has also served as an Associate Editor for journals like Pest Management in Horticultural Ecosystems and Journal of Agricultural Zoology.

๐Ÿš€ Legacy and Future Contributions

With an unwavering commitment to sustainable agriculture, Dr. Sridhar continues to explore novel pest management strategies. His ongoing research includes real-time pest surveillance, climate impact assessments, and innovative biocontrol measures. Through national and international collaborations with institutions like ICRISAT, Virginia Tech, and BRNS, Mumbai, he is shaping the future of horticultural entomology. His legacy lies in developing eco-friendly pest management solutions that ensure agricultural sustainability for future generations.

๐Ÿ“šPublications Top Notes

๐Ÿ“Œ New record of the invasive South American tomato leaf miner, Tuta absoluta ๐Ÿชฒ

๐Ÿ“– V Sridhar, AK Chakravarthy, R Asokan, LS Vinesh, KB Rebijith, S Vennila
๐Ÿ“Š Citations: 170 | ๐Ÿ“… Year: 2014

๐Ÿ“Œ Climate-Resilient Horticulture: Adaptation and Mitigation Strategies ๐ŸŒฟ
๐Ÿ“– HCP Singh, NKS Rao, KS Shivashankar
๐Ÿ“Š Citations: 69 | ๐Ÿ“… Year: 2013

๐Ÿ“Œ Low moisture stress influences plant volatile emissions affecting herbivore interactions in tomato ๐Ÿ…
๐Ÿ“– KJ Pagadala Damodaram, HS Gadad, SK Parepally, S Vaddi, …
๐Ÿ“Š Citations: 32 | ๐Ÿ“… Year: 2021

๐Ÿ“Œ Seasonal incidence of South American tomato moth, Tuta absoluta, on tomato ecosystem ๐Ÿฆ‹
๐Ÿ“– KS Nitin, V Sridhar, KP Kumar, AK Chakravarthy
๐Ÿ“Š Citations: 25 | ๐Ÿ“… Year: 2017

๐Ÿ“Œ Effect of Temperature and CO2 on Population Growth of Tuta absoluta ๐ŸŒก๏ธ
๐Ÿ“– N Kanle Satishchandra, S Vaddi, SO Naik, AK Chakravarthy, R Atlihan
๐Ÿ“Š Citations: 24 | ๐Ÿ“… Year: 2018

๐Ÿ“Œ Efficacy of new insecticides against Tuta absoluta ๐Ÿงช
๐Ÿ“– V Sridhar, S Onkaranaik, KS Nitin
๐Ÿ“Š Citations: 24 | ๐Ÿ“… Year: 2017

๐Ÿ“Œ Comparative biology of Tuta absoluta on solanaceous host plants ๐Ÿชด
๐Ÿ“– V Sridhar, KS Nitin, O Naik, T Nagaraja
๐Ÿ“Š Citations: 23 | ๐Ÿ“… Year: 2015

๐Ÿ“Œ Using degree days & plant phenology to predict insect pest activity ๐Ÿ“ˆ
๐Ÿ“– V Sridhar, PVR Reddy
๐Ÿ“Š Citations: 21 | ๐Ÿ“… Year: 2013

๐Ÿ“Œ Trichome and biochemical basis of resistance against Tuta absoluta in tomato ๐Ÿต๏ธ
๐Ÿ“– V Sridhar, AT Sadashiva, VK Rao, P Swathi, HS Gadad
๐Ÿ“Š Citations: 20 | ๐Ÿ“… Year: 2019

๐Ÿ“Œ First report of Tuta absoluta from Madhya Pradesh, India ๐Ÿ—บ๏ธ
๐Ÿ“– P Swathi, B Swathi, SB Das, V Sridhar, O Giribabu, G Snehalatha, …
๐Ÿ“Š Citations: 20 | ๐Ÿ“… Year: 2017

๐Ÿ“Œ Occurrence of Tuta absoluta in Punjab, India โ€“ Trap catches & molecular diagnosis ๐Ÿงฌ
๐Ÿ“– SK Sidhu, V Sridhar, A Sharma, R Asokan
๐Ÿ“Š Citations: 16 | ๐Ÿ“… Year: 2017

๐Ÿ“Œ Plant-pollinator interactions: Synchrony at risk due to climate change ๐Ÿ
๐Ÿ“– PVR Reddy, A Verghese, V Sridhar, VV Rajan
๐Ÿ“Š Citations: 15 | ๐Ÿ“… Year: 2013

๐Ÿ“Œ Volatile chemical signals underlying host plant preferences of Tuta absoluta ๐Ÿ’จ
๐Ÿ“– V Subramani, KJ Pagadala Damodaram, R Goravale Krishnegowda, …
๐Ÿ“Š Citations: 14 | ๐Ÿ“… Year: 2021

๐Ÿ“Œ Genetic research on Helicoverpa armigera using microsatellite markers ๐Ÿงช
๐Ÿ“– T Venkatesan, V Sridhar, YR Tomason, SK Jalali, GT Behere, RM Shanthi, …
๐Ÿ“Š Citations: 8 | ๐Ÿ“… Year: 2016

๐Ÿ“Œ Resistance against Phthorimaea absoluta in wild tomato accessions ๐Ÿ…
๐Ÿ“– P Ghosh, KS Jagadish, MG Purushothama, P Hanson, M Rakha, …
๐Ÿ“Š Citations: 7 | ๐Ÿ“… Year: 2023

Hamed Hamouda | Biochemistry | Best Researcher Award

Assist. Prof. Dr. Hamed Hamouda | Biochemistry | Best Researcher Award

Assist. Prof. Dr. Hamed Hamouda, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, DICP, CAS, China.

๐Ÿ”ฌ Hamed Hamouda, Ph.D. is a distinguished microbiologist specializing in enzyme characterization and carbohydrate bioprocessing. He earned his Ph.D. from the Chinese Academy of Sciences and has held postdoctoral positions at Ocean University of China and Dalian Institute of Chemical Physics. His research focuses on polysaccharide-degrading enzymes ๐Ÿงช and biotechnological applications ๐ŸŒฑ. An editorial board member of Frontiers in Microbiology, he has received prestigious awards, including the CAS-TWAS Presidentโ€™s Fellowship ๐Ÿ† and Shandong Provincial Distinguished Foreign Experts Award.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Hamed Hamouda’s academic journey began with a Bachelor of Science in Microbiology and Chemistry from Al-Azhar University, Egypt, where he graduated with honors in 2008. His passion for microbiology led him to pursue multiple postgraduate diplomas, including General Microbiology, Analytical Biochemistry, and Microbiology from prestigious Egyptian institutions. He then obtained his Master of Science in Microbiology in 2015, supported by the Academy of Scientific Research and Technology (ASRT), focusing on microbial strains for bioethanol production. His relentless pursuit of knowledge culminated in a Ph.D. in Microbiology from the Chinese Academy of Sciences under the CAS-TWAS Presidentโ€™s Fellowship Program, where he specialized in enzymatic characterization for biomass degradation.

๐Ÿ’ผ Professional Endeavors

Dr. Hamouda has built a distinguished career in microbiology, particularly in biochemical and enzymatic research. He has held postdoctoral research positions at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, and the Ocean University of China. In addition, he has been a research assistant at the Egyptian Petroleum Research Institute (EPRI) since 2012, contributing to petroleum biotechnology innovations. His professional experience spans diverse roles, including medical analysis, fermentation research, and chemical industry expertise, showcasing his multidisciplinary skill set.

๐Ÿ”ฌ Contributions and Research Focus On Biochemistryย 

Dr. Hamouda’s research revolves around biochemical interactions between proteins and carbohydrates, with a particular emphasis on polysaccharide-degrading enzymes. His Ph.D. work explored thermophilic bacterial enzymes, such as pectate lyases, alginate lyases, ฮฒ-glucanases, and ฮฒ-xylosidases, for efficient biomass degradation. His postdoctoral research delved into carrageenase and laminarinase enzymes, focusing on their structural elucidation and application in nanoparticle-based polysaccharide preparations. His work contributes significantly to clean energy solutions, biotechnology, and industrial applications.

๐ŸŒ Impact and Influence

Dr. Hamouda’s contributions extend beyond academia into real-world applications. His research has played a crucial role in advancing green biomanufacturing, clean energy transformation, and bioethanol production from agricultural waste. As an Egyptian co-PI in international research projects, he fosters global collaboration, bridging Egyptian and Chinese scientific communities. His active participation in biotechnology and petroleum research underscores his impact on renewable energy and environmental sustainability.

๐Ÿ† Awards and Honors

Dr. Hamoudaโ€™s excellence in research has earned him multiple prestigious awards, including:

  • CAS-TWAS Presidentโ€™s Fellowship (2016-2020) from the Chinese Academy of Sciences.

  • Shandong Provincial Distinguished Foreign Experts Award for his outstanding contributions.

  • Postdoctoral Fellowship at Ocean University of China for his research on food security and molecular microbiology.

  • M.Sc. Scholarship from the Academy of Scientific Research and Technology (ASRT), Egypt.

๐Ÿ“š Academic Citations and Publications

Dr. Hamouda has authored several high-impact publications in microbiology, enzymology, and biochemical research. His work is widely cited in international scientific journals, reflecting its significance in the field. Additionally, he serves as an editorial board member of Frontiers in Microbiology, contributing to the advancement of scholarly research.

๐Ÿš€ Legacy and Future Contributions

With a strong foundation in microbiology, enzymology, and biotechnology, Dr. Hamouda continues to push the boundaries of scientific innovation. His research into enzyme-based solutions for industrial and environmental challenges holds promise for renewable energy, biomedicine, and sustainable agriculture. As an active collaborator in international projects, he is poised to make lasting contributions to biotechnology and global scientific progress.

๐Ÿ“šPublications Top Notes

1๏ธโƒฃ Multi-walled carbon nanotubes decorated with silver nanoparticles for antimicrobial applications ๐Ÿฆ โš›๏ธ
๐Ÿ“œ Journal of Environmental Chemical Engineering | Cited by: 68 | Year: 2021

2๏ธโƒฃ Response Surface Optimization of Bioethanol Production from Sugarcane Molasses by Pichia veronae Strain HSCโ€22 ๐ŸŒฑ๐Ÿ”ฌ
๐Ÿ“œ Biotechnology Research International | Cited by: 39 | Year: 2015

3๏ธโƒฃ Design of ฮณ-AlOOH, ฮณ-MnOOH, and ฮฑ-Mnโ‚‚Oโ‚ƒ nanorods as advanced antibacterial active agents ๐Ÿญ๐Ÿฆ 
๐Ÿ“œ Dalton Transactions | Cited by: 35 | Year: 2020

4๏ธโƒฃ Rhamnolipid-coated iron oxide nanoparticles as a novel multitarget candidate against major foodborne E. coli serotypes and MRSA ๐Ÿฝ๏ธ๐Ÿฆ 
๐Ÿ“œ Microbiology Spectrum | Cited by: 32 | Year: 2022

5๏ธโƒฃ Preparation, urease inhibition mechanisms, and anti-Helicobacter pylori activities of hesperetin-7-rhamnoglucoside ๐Ÿ’Š๐Ÿงฌ
๐Ÿ“œ Current Research in Microbial Sciences | Cited by: 30 | Year: 2022

6๏ธโƒฃ Bioethanol Production from Water Hyacinth Hydrolysate by Candida tropicalis Y-26 ๐ŸŒฟ๐Ÿ”ฌ
๐Ÿ“œ Arabian Journal for Science and Engineering | Cited by: 29 | Year: 2019

7๏ธโƒฃ Biochemical Characterization of a Novel Myrosinase Rmyr from Rahnella inusitata for High-Level Preparation of Sulforaphene and Sulforaphane ๐Ÿงช๐Ÿฆ 
๐Ÿ“œ Journal of Agricultural and Food Chemistry | Cited by: 28 | Year: 2022

8๏ธโƒฃ Design of lipid-based nanocarrier for drug delivery with double therapy for common pathogens eradication ๐Ÿ’Š๐Ÿš€
๐Ÿ“œ Colloids and Surfaces A: Physicochemical and Engineering Aspects | Cited by: 21 | Year: 2021

9๏ธโƒฃ Multifunctional nanoparticles based on marine polysaccharides for apremilast delivery to inflammatory macrophages ๐ŸŒŠ๐Ÿ’‰
๐Ÿ“œ International Journal of Biological Macromolecules | Cited by: 20 | Year: 2022

๐Ÿ”Ÿ Combinations of alkaline hydrogen peroxide and lithium chloride/N,N-dimethylacetamide pretreatments of corn stalk for improved biomethanation ๐ŸŒฝโš›๏ธ
๐Ÿ“œ Environmental Research | Cited by: 20 | Year: 2020

1๏ธโƒฃ1๏ธโƒฃ Isolation of fermentative microbial isolates from sugar cane and beet molasses and evaluation for enhanced production of bioethanol ๐Ÿถ๐Ÿ”ฌ
๐Ÿ“œ Energy Sources, Part A | Cited by: 19 | Year: 2016

1๏ธโƒฃ2๏ธโƒฃ Novel nanoblades of graphene oxide decorated with zinc oxide nanocomposite as a powerful anti-microbial active weapon ๐Ÿน๐Ÿฆ 
๐Ÿ“œ Synthetic Metals | Cited by: 15 | Year: 2023

1๏ธโƒฃ3๏ธโƒฃ Statistical optimization of bioethanol production from giant reed hydrolysate by Candida tropicalis using Taguchi design ๐ŸŒฟ๐Ÿ“Š
๐Ÿ“œ Journal of Biotechnology | Cited by: 13 | Year: 2022

1๏ธโƒฃ4๏ธโƒฃ Plastic-associated microbial communities in aquaculture areas ๐ŸŒŠ๐Ÿฆ 
๐Ÿ“œ Frontiers in Marine Science | Cited by: 13 | Year: 2022

1๏ธโƒฃ5๏ธโƒฃ Expression and Biochemical Characterization of a Novel Fucoidanase from Flavobacterium algicola with the Principal Product of Fucoidan-Derived Disaccharide ๐Ÿฆ ๐Ÿงฌ
๐Ÿ“œ Foods | Cited by: 13 | Year: 2022

Mohammed Fadel | Mathematics | Best Researcher Award

Assist. Prof. Dr. Mohammed Fadel | Mathematics | Best Researcher Award

Assist. Prof. Dr. Mohammed Fadel, Lahej University, Yemen.

๐ŸŒŸ Professional Profile

Early Academic Pursuits ๐ŸŽ“

Dr. Mohammed Fadel Mohammed Abdalluh began his academic journey with a deep-rooted passion for mathematics. His early years in academia were dedicated to mastering mathematical theories and developing expertise in various mathematical disciplines. His commitment to learning laid the foundation for his future research and professional accomplishments.

Professional Endeavors ๐Ÿ’ผ

Dr. Abdalluh currently serves as an Assistant Professor at the University of Lahej, Yemen (March 2023 โ€“ Present). In this role, he teaches courses such as Set Theory, Calculus, Numerical Analysis, Linear Algebra, and Partial Differential Equations. He also holds the position of Executive Secretary for the University of Lahej Journal of Applied Science and Humanities (January 2024โ€“present). His previous academic roles include positions as a University Tutor at Aden University and Aden Community College, where he contributed to curriculum development and administrative responsibilities.

Contributions and Research Focus On Mathematics ๐ŸŒ

Dr. Abdalluh has made significant contributions to the field of q-special functions, quasi-monomiality, fractional calculus, and degenerate special polynomials. His research primarily explores q-quasi-monomiality, (p,q)-special functions, and their applications. With more than 20 years of teaching experience, he has successfully introduced new mathematical models and symbolic methods to address complex problems in mathematics. His ongoing research continues to push the boundaries of mathematical analysis and innovation.

Impact and Influence ๐ŸŽฏ

As a scholar, Dr. Abdalluh has collaborated with renowned mathematicians worldwide, including Prof. Clemente Cesarano, Prof. Praveen Agarwal, Prof. Wei-Shih Du, and many others. His research findings have influenced contemporary mathematical studies and have been recognized in the global academic community. Additionally, he has played an essential role as a reviewer for leading journals, ensuring the advancement of mathematical knowledge.

Awards and Honors ๐Ÿ†

Dr. Abdalluh’s excellence in research and academia has been recognized with numerous awards. He received the Second-Best Scientific Researcher Quality Award in Applied Sciences from the University of Lahej (2024), a testament to his significant contributions to mathematical research. He is also affiliated with esteemed institutions, including the International Mathematical Union and the Denish Arab Centre for Future Studies (DACFS).

Academic Citations ๐Ÿ”–

Dr. Abdalluh’s research has been widely cited, reflecting his impact on the mathematical research community. His citation index stands at 105, with a strong publication record in SCI, ESCI, and Scopus-indexed journals. To date, he has authored 9 SCI papers, 3 ESCI papers, and 2 Scopus papers, with 15 additional papers under review.

Legacy and Future Contributions ๐ŸŒŸ

With a commitment to academic excellence, Dr. Abdalluh continues to inspire future generations of mathematicians. His work in special functions, symbolic methods, and q-degenerate polynomials will serve as a foundation for upcoming mathematical advancements. His leadership in research and academia ensures his lasting impact on the global mathematical community.

๐Ÿ“šPublications Top Notes

๐Ÿ† Highly Cited Works

1๏ธโƒฃ On 2-variable q-Hermite polynomials
๐Ÿ“– Aims Math 6 (8), 8705-8727
โœ๏ธ Authors: N. Raza, M. Fadel, K.S. Nisar, M. Zakarya
๐Ÿ”ข Citations: 20
๐Ÿ“… Year: 2021

2๏ธโƒฃ Two-variable q-Laguerre polynomials from the context of quasi-monomiality
๐Ÿ“– Journal of Mathematical Analysis and Applications 535 (2), 128126
โœ๏ธ Authors: J. Cao, N. Raza, M. Fadel
๐Ÿ”ข Citations: 17
๐Ÿ“… Year: 2024

3๏ธโƒฃ A Review of q-Difference Equations for Al-Salamโ€“Carlitz Polynomials and Applications to U(n + 1) Type Generating Functions and Ramanujanโ€™s Integrals
๐Ÿ“– Mathematics 11 (7), 1655
โœ๏ธ Authors: J. Cao, J.Y. Huang, M. Fadel, S. Arjika
๐Ÿ”ข Citations: 12
๐Ÿ“… Year: 2023

4๏ธโƒฃ Characterizing q-Bessel functions of the first kind with their new summation and integral representations
๐Ÿ“– Mathematics 11 (18, special issue), 3831
โœ๏ธ Authors: M. Fadel, N. Raza, W.S. Du
๐Ÿ”ข Citations: 10
๐Ÿ“… Year: 2023

5๏ธโƒฃ On a family of q-modified-Laguerre-Appell polynomials
๐Ÿ“– Arab Journal of Basic and Applied Sciences 31 (1), 165-176
โœ๏ธ Authors: M. Fadel, A. Muhyi
๐Ÿ”ข Citations: 9
๐Ÿ“… Year: 2024

6๏ธโƒฃ Two-Variable q-Hermite-Based Appell Polynomials and Their Applications
๐Ÿ“– Mathematics 12 (9), 1358
โœ๏ธ Authors: M. Fadel, M.S. Alatawi, W.A. Khan
๐Ÿ”ข Citations: 7
๐Ÿ“… Year: 2024

7๏ธโƒฃ On q-Hermite Polynomials with Three Variables: Recurrence Relations, q-Differential Equations, Summation and Operational Formulas
๐Ÿ“– Symmetry 16 (4, special issue), 385
โœ๏ธ Author: M. Fadel
๐Ÿ”ข Citations: 6
๐Ÿ“… Year: 2024

8๏ธโƒฃ Monomiality principle for q-polynomials: Introduction and Applications
๐Ÿ“– Math. Mech. Complex Syst
โœ๏ธ Authors: N. Raza, M. Fadel, S. Khan, C. Cesarano, R. William
๐Ÿ”ข Citations: 6
๐Ÿ“… Year: 2024

9๏ธโƒฃ A note on q-truncated exponential polynomials
๐Ÿ“– KARPATSสนKI MATEMATICNI PUBLรŒKACII 16 (1), 128-147
โœ๏ธ Authors: N. Raza, M. Fadel, C. Cesarano
๐Ÿ”ข Citations: 5
๐Ÿ“… Year: 2024

๐Ÿ”Ÿ Bivariate q-Laguerreโ€“Appell polynomials and their applications
๐Ÿ“– Applied Mathematics in Science and Engineering 32 (1), 2412545
โœ๏ธ Authors: M. Fadel, N. Raza, A. Al-Gonah, U. Duran
๐Ÿ”ข Citations: 4
๐Ÿ“… Year: 2024

 

fazlay ahmed | Astrophysics | Best Researcher Award

Dr. fazlay ahmed | Astrophysics | Best Researcher Award

Dr. fazlay ahmed, Zhejiang university of technology, China.

Dr. Fazlay Ahmed is a distinguished theoretical physicist specializing in black holes, general relativity, and higher-dimensional gravity ๐Ÿ•ณ๏ธโœจ. He earned his Ph.D. in Physics from Jamia Millia Islamia, India ๐ŸŽ“ and is currently a Postdoctoral Fellow at Zhejiang University of Technology, China ๐Ÿ”ฌ. With impactful publications in renowned journals, his research explores black hole dynamics and astrophysical phenomena ๐ŸŒŒ. A passionate educator and speaker, he has presented at prestigious international conferences, shaping the future of cosmology and gravity research ๐ŸŒ ๐Ÿ“–.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Dr. Fazlay Ahmed’s academic journey began with a strong foundation in physics. He completed his B.Sc. in Physics from Rohelkhand University, Bareilly (Raza College), Rampur, in 2010. His passion for theoretical physics led him to pursue an M.Sc. in Physics from Aligarh Muslim University in 2012, where he specialized in Astrophysics and studied key subjects such as Quantum Mechanics, Classical Electrodynamics, and Particle Physics. He further strengthened his credentials by clearing the Graduate Aptitude Test in Engineering (GATE) in 2013 with an All India Rank of 879.

๐Ÿ’ผ Professional Endeavors

Dr. Ahmed embarked on his research career as a Research Scholar at the Centre for Theoretical Physics, Jamia Millia Islamia, New Delhi (2013โ€“2019), where he extensively worked on rotating black holes. Following his doctoral studies, he transitioned into academia as an Assistant Professor at PDM University, Bahadurgarh, Haryana (2019โ€“2021) and later at OSGU, Hisar, Haryana (2021โ€“2023). Currently, he is a Postdoctoral Fellow at the Institute for Theoretical Physics and Cosmology, Zhejiang University of Technology, China, where he continues to explore cutting-edge topics in astrophysics.

๐Ÿ”ฌ Contributions and Research Focus On Astrophysicsย 

Dr. Ahmedโ€™s research primarily revolves around black holes, general relativity, gravity, and higher dimensions. His Ph.D. thesis on rotating black holes under the guidance of Prof. Sushant G. Ghosh and Prof. M. Sami contributed significant insights into the field. His work includes the study of black hole shadows, rotating regular black holes, and particle acceleration phenomena. He has also delved into higher-dimensional black holes and anisotropic quintessence fluids, broadening the understanding of gravitational theories.

๐ŸŒ Impact and Influence

Dr. Ahmed’s research has made a substantial impact on the field of astrophysics and general relativity. His contributions to the study of black hole shadows, constraints from the Event Horizon Telescope (EHT) observations, and five-dimensional rotating black holes have been widely recognized. His findings provide a deeper understanding of gravitational physics and black hole dynamics, influencing both theoretical research and observational studies.

๐Ÿ… Awards and Honorsย 

Dr. Ahmed has been invited to deliver talks at prestigious conferences, including:

  • “Exploring Black Hole Shadows” at the 2024 Academic Annual Meeting of the Chinese Physical Society.

  • “Rotating Regular Black Hole Solutions” at GGNKC, Ludhiana (2018).
    He has also participated in international symposiums and workshops, such as the Hangzhou Gravitational and Cosmology Symposium (2024) and the Indo-South Africa Workshop on Astrophysics (2023), reflecting his growing recognition in the scientific community.

๐Ÿ”ฌ Legacy and Future Contributions

With a strong research background and a commitment to astrophysics, Dr. Ahmed aims to further explore black hole physics, gravitational wave astronomy, and higher-dimensional space-time theories. His postdoctoral work in China is expected to open new avenues for understanding cosmic phenomena and refining gravitational models. As he continues to publish groundbreaking research, his contributions will undoubtedly shape the future of theoretical physics and cosmology.

Publications Top Notes

 

๐Ÿ“– Collision of two general particles around a rotating regular Haywardโ€™s black holes
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: M. Amir, F. Ahmed, S.G. Ghosh
๐Ÿ“… Year: 2016
๐Ÿ”ข Citations: 31
๐Ÿ“š Journal: The European Physical Journal C 76 (10), 532

๐Ÿ“– Five dimensional rotating regular black holes and shadow
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: F. Ahmed, D.V. Singh, S.G. Ghosh
๐Ÿ“… Year: 2022
๐Ÿ”ข Citations: 24
๐Ÿ“š Journal: General Relativity and Gravitation 54 (2), 21

๐Ÿ“– Black string surrounded by a static anisotropic quintessence fluid
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: M.S. Ali, F. Ahmed, S.G. Ghosh
๐Ÿ“… Year: 2020
๐Ÿ”ข Citations: 12
๐Ÿ“š Journal: Annals of Physics 412, 168024

๐Ÿ“– Particle acceleration of two general particles in the background of rotating Ayรณn-Beato-Garcรญa black holes
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: F. Ahmed, M. Amir, S.G. Ghosh
๐Ÿ“… Year: 2019
๐Ÿ”ข Citations: 5
๐Ÿ“š Journal: Astrophysics and Space Science 364 (1), 10

๐Ÿ“– 5D rotating regular Myers-Perry black holes and their shadow
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: F. Ahmed, D.V. Singh, S.G. Ghosh
๐Ÿ“… Year: 2020
๐Ÿ”ข Citations: 4
๐Ÿ“š Journal: arXiv preprint arXiv:2008.10241

๐Ÿ“– Shadows of rotating hairy black holes surrounded with quintessence and constraints from EHT observations
๐Ÿ‘จโ€๐Ÿ”ฌ Authors: F. Ahmed, S.U. Islam, S.G. Ghosh
๐Ÿ“… Year: 2025
๐Ÿ“š Journal: Journal of High Energy Astrophysics, 100350

Xiaohan Xing | Biomedical Engineering | Young Scientist Award

Dr. Xiaohan Xing | Engineering | Young Scientist Award

Dr. Xiaohan Xing, Stanford University, United States.

Dr. Xiaohan XING is a Postdoctoral Researcher at Stanford University specializing in Biomedical AI, medical image analysis, and deep learning. ๐ŸŽ“ He holds a Ph.D. in Electronic Engineering from CUHK and has received prestigious awards, including the MICCAI Young Scientist Award (2022) ๐Ÿ† and ASTRO Best of Physics Award (2024) ๐Ÿฅ‡. His research focuses on developing efficient AI models for disease diagnosis ๐Ÿฅ๐Ÿ“Š. As an academic leader, he has served as MICCAI 2024 Area Chair and a reviewer for top-tier journals. โœจ

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Dr. Xiaohan Xing began his academic journey at Shandong University, where he pursued a B.E. in Biomedical Engineering with outstanding academic performance, ranking 1st among 200+ students. His undergraduate thesis, Bleeding Detection in Wireless Capsule Endoscopy Images, earned him the Outstanding Undergraduate Thesis Award. Following this, he pursued a Ph.D. in Electronic Engineering at The Chinese University of Hong Kong (CUHK) under the supervision of Prof. Max Q.-H. Meng and Prof. Hongsheng Li. His doctoral research focused on efficient deep learning algorithms for disease diagnosis, a field at the intersection of medical imaging, artificial intelligence, and healthcare.

๐Ÿ’ผ Professional Endeavors

Dr. Xing has held prestigious postdoctoral positions at leading institutions. He is currently a Postdoctoral Fellow at Stanford Universityโ€™s Department of Radiation Oncology, working under Prof. Lei Xing. Prior to this, he served as a Postdoctoral Fellow at City University of Hong Kong (CityU), collaborating with Prof. Yixuan Yuan. He also gained industry experience as a Research Intern at Tencent AI Healthcare, where he worked under Dr. Jianhua Yao and Dr. Fan Yang to develop AI-driven healthcare solutions.

๐Ÿ”ฌ Contributions and Research Focus On Biomedical Engineering

Dr. Xingโ€™s research is centered on Biomedical AI, integrating medical imaging, deep learning, omics analysis, and data science to enhance clinical decision-making. His key research contributions include:

  • Data-efficient algorithms for medical image analysis ๐Ÿฅ

  • Interpretable AI models for omics data analysis ๐Ÿงฌ

  • Multi-modal learning approaches integrating medical images and genomic data ๐Ÿ–ผ๏ธโž•๐Ÿ“Š

  • Trustworthy AI models for precision medicine applications ๐Ÿฅ

His innovative solutions have tackled challenges such as modality gaps in multi-modal learning, low-field MRI reconstruction, small lesion detection in endoscopy images, and cancer survival prediction. His research outputs have been published in top-tier journals such as Medical Image Analysis (MedIA), IEEE Transactions on Medical Imaging (TMI), and Bioinformatics.

๐ŸŒ Impact and Influence

Dr. Xing’s work significantly impacts precision medicine and AI-assisted healthcare. His publications in top-tier journals and conferences, including Medical Image Analysis (MedIA) and MICCAI, showcase his groundbreaking innovations. He has also contributed to patents in AI-driven disease detection.

๐Ÿ… Awards and Honorsย 

Dr. Xingโ€™s excellence in research has been recognized with prestigious awards, including:

  • ASTRO Best of Physics 2024 (Ranked 1st among medical imaging papers, top 5 out of 1,650).

  • MICCAI Young Scientist Award 2022 (Equivalent to Best Paper Award, only 5 recipients worldwide).

  • National Scholarship (China Ministry of Education, Top 1%), the highest honor for students in China.

  • Outstanding Undergraduate Thesis Award (SDU, Top 1%).

  • First-class and Full Postgraduate Scholarships, recognizing academic excellence.
    These honors highlight his exceptional contributions to medical AI and deep learning, positioning him as a rising leader in the field.

๐ŸŽ’ Teaching and Mentorship

Dr. Xing has actively contributed to academia as a teaching assistant for:

  • Digital Circuits and Systems
  • Linear Algebra for Engineers
  • Digital Image Processing

Additionally, he has mentored Ph.D. and master’s students from CUHK, UCLA, and the University of Chinese Academy of Sciences.

๐Ÿ“š Academic Citations

Dr. Xing has been recognized in leading scientific communities, serving as an Area Chair for MICCAI 2024 and a reviewer for IEEE TMI, IEEE TIP, and MedIA. His papers are highly cited, reflecting his influence in AI-powered medical research.

๐Ÿš€Future Vision and Impact

Dr. Xing envisions pioneering AI-driven healthcare by developing trustworthy and interpretable AI models. His future work aims to bridge the gap between medical imaging and omics data for next-generation precision medicine. As a rising leader in Biomedical AI, his legacy is set to transform medical diagnostics and patient care.

Publications Top Notes

 

  • ๐Ÿฅ Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction
    ๐Ÿ“– IEEE Transactions on Automation Science and Engineering
    ๐Ÿ‘ฅ Cited by: 108 ๐Ÿ“† Year: 2020

  • ๐Ÿ”ฌ DT-MIL: Deformable Transformer for Multi-Instance Learning on Histopathological Images
    ๐Ÿ“– Medical Image Computing and Computer Assisted Intervention (MICCAI)
    ๐Ÿ‘ฅ Cited by: 97 ๐Ÿ“† Year: 2021

  • ๐ŸŽฅ Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon with Deep-Learning-Based Polyp Recognition
    ๐Ÿ“– Proceedings of the IEEE
    ๐Ÿ‘ฅ Cited by: 90 ๐Ÿ“† Year: 2019

  • ๐Ÿฉบ Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
    ๐Ÿ“– IEEE Transactions on Medical Imaging
    ๐Ÿ‘ฅ Cited by: 48 ๐Ÿ“† Year: 2020

  • ๐Ÿฅ Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
    ๐Ÿ“– Medical Image Computing and Computer Assisted Intervention (MICCAI)
    ๐Ÿ‘ฅ Cited by: 45 ๐Ÿ“† Year: 2021

  • ๐Ÿฉธ Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier
    ๐Ÿ“– IEEE Engineering in Medicine and Biology Society Conference
    ๐Ÿ‘ฅ Cited by: 44 ๐Ÿ“† Year: 2018

  • ๐Ÿงฌ Multi-Level Attention Graph Neural Network Based on Co-Expression Gene Modules for Disease Diagnosis and Prognosis
    ๐Ÿ“– Bioinformatics
    ๐Ÿ‘ฅ Cited by: 40 ๐Ÿ“† Year: 2022

  • ๐Ÿฅ Multi-Modal Multi-Instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information
    ๐Ÿ“– Medical Image Computing and Computer Assisted Intervention (MICCAI)
    ๐Ÿ‘ฅ Cited by: 33 ๐Ÿ“† Year: 2021

  • ๐Ÿง  Discrepancy and Gradient-Guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading
    ๐Ÿ“– Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    ๐Ÿ‘ฅ Cited by: 28 ๐Ÿ“† Year: 2022

  • ๐Ÿฉธ A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images
    ๐Ÿ“– IEEE International Symposium on Biomedical Imaging (ISBI)
    ๐Ÿ‘ฅ Cited by: 21 ๐Ÿ“† Year: 2019

  • ๐Ÿค– Medical Federated Learning with Joint Graph Purification for Noisy Label Learning
    ๐Ÿ“– Medical Image Analysis
    ๐Ÿ‘ฅ Cited by: 18 ๐Ÿ“† Year: 2023

  • ๐Ÿฉธ Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
    ๐Ÿ“– Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    ๐Ÿ‘ฅ Cited by: 18 ๐Ÿ“† Year: 2022

  • ๐Ÿงฌ An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data
    ๐Ÿ“– IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
    ๐Ÿ‘ฅ Cited by: 17 ๐Ÿ“† Year: 2021

  • ๐Ÿ‘ Boundary-Enhanced Semi-Supervised Retinal Layer Segmentation in Optical Coherence Tomography Images Using Fewer Labels
    ๐Ÿ“– Computerized Medical Imaging and Graphics
    ๐Ÿ‘ฅ Cited by: — ๐Ÿ“† Year: 2023

 

 

Manjunath Malligawad | Mathematics | Best Researcher Award

Dr. Manjunath Malligawad | Mathematics | Best Researcher Award

Dr. Manjunath Malligawad,SSIT tumkuru, India.

Dr. Manjunatha H Malligawad is a passionate Mathematics educator and researcher ๐Ÿงฎ with a strong academic background. He holds an M.Sc. in Mathematics and a B.Ed., showcasing his commitment to both learning and teaching. With over three years of experience, he has mentored students for JEE and NEET ๐ŸŽฏ. His participation in national conferences ๐Ÿ“š and the launch of his YouTube channel, “GENIUS MATHS CLASSES” ๐ŸŽฅ highlight his dedication to knowledge dissemination. Proficient in problem-solving and programming, he actively contributes to education and research.

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Dr. Manjunatha H. Malligawad’s academic journey began with a strong foundation in mathematics and science. Excelling in his early education, he achieved an impressive 86.08% in SSLC (2011) at Govt High School, Ramanakoppa, followed by 60.33% in PUC (2013) at P.C. Jabin Science College, Hubballi. His passion for mathematics led him to pursue a B.Sc (PCM) in 2016 with 80.50%, followed by an M.Sc in Mathematics (2018) with 77.37% from S.K. Arts College & H.S.K Science Institute, Hubballi. To further his expertise in teaching, he completed a B.Ed (2020) with 72.20% from Shri Kumareshwar Education Trust B.Ed College, Savadatti.

๐Ÿ’ผ Professional Endeavors

Dr. Malligawad embarked on his teaching career with one year at M.A.S.C Degree College, Haunsabhavi, Haveri and two years at Bendre PU Science College, Dharwad. His expertise extends to coaching students for JEE and NEET examinations, showcasing his ability to mentor and guide students towards academic excellence. He also founded a YouTube channel, “Genius Maths Classes,” to expand his reach in mathematics education.

๐Ÿ”ฌ Contributions and Research Focus On Mathematicsย 

Dr. Malligawad has actively engaged in research and academic discussions. He participated in national conferences, including the “Differential Geometry and Relativity” seminar at Deen Dayal Upadhyaya University, Gorakhpur, and the “Recent Study in Applications of Mathematics” at J.T. College, Gadag. His research interests lie in applied mathematics, particularly in differential geometry and its real-world applications.

๐ŸŒ Impact and Influence

Through his teaching and mentorship, Dr. Malligawad has influenced numerous students in their mathematical pursuits. His ability to simplify complex mathematical concepts and his experience in competitive exam coaching have made him a sought-after educator in the field. His problem-solving abilities and programming skills further enhance his contributions to mathematics education.

๐Ÿ… Awards and Honorsย 

Dr. Malligawad has been an active participant in academic and extracurricular activities. His involvement in National Service Scheme (NSS) reflects his commitment to community service alongside his academic pursuits. His contributions to mathematics education through research conferences and his YouTube platform have been well acknowledged.

๐Ÿ“š Academic Citations

Dr. Malligawad’s academic insights and participation in national-level discussions have earned him recognition among peers. His dedication to mathematics and commitment to student success have led to citations in research discussions and appreciation in educational circles.

๐Ÿš€ Legacy and Future Contributions

With a strong foundation in mathematics education and a passion for research, Dr. Malligawad aims to continue his journey as an academician. He envisions expanding his reach through innovative teaching methodologies, research in applied mathematics, and digital learning platforms. His long-term goal is to contribute to the academic community by fostering mathematical understanding and inspiring future generations of scholars.

Publications Top Notes

Finslerian Wormhole Solution in the Framework of Modified Gravity

Shadow Analysis and Light Deflection in Charged Finslerian Kiselev Black Holes under Spherical Accretion

Geodesics of Finsler Hayward Black Hole Surrounded by Quintessence

Atanu Manna | Mathematical | Best Researcher Award

Assist. Prof. Dr. Atanu Manna | Mathematical Analysis | Best Researcher Award

Assist. Prof. Dr. Atanu Manna, Indian Institute of Carpet Technology, India.

Dr. Atanu Manna is an Assistant Professor of Mathematics at the Indian Institute of Carpet Technology, Bhadohi, India. ๐ŸŽ“ He earned his Ph.D. from IIT Kharagpur (2014) and specializes in Geometry of Banach Spaces, Operator Theory, and Inequalities. โœ๏ธ With numerous publications in top-tier journals, his research enhances mathematical frameworks in sequence spaces and numerical radius inequalities. ๐Ÿ“š Dr. Manna actively participates in international conferences and symposiums, contributing significantly to the field of pure and applied mathematics. ๐Ÿ”ฌ

๐ŸŒŸ Professional Profile

๐ŸŽ“ Early Academic Pursuits

Assist. Prof. Dr. Atanu Manna began his academic journey with a Bachelor of Science (B.Sc.) from Vidyasagar University, Midnapore (2006), securing First Class First. He then pursued his Master of Science (M.Sc.) in Mathematics from Jadavpur University, Kolkata (2008), achieving First Class Fifth with a specialization in Pure Mathematics. His academic excellence led him to the Indian Institute of Technology, Kharagpur, where he earned his Doctor of Philosophy (Ph.D.) in 2014. His doctoral research focused on “Modular sequence spaces defined by using de la Valle-Poussin Means, Generalized Means, and Difference operator”.

๐Ÿ’ผ Professional Endeavors

Currently serving as an Assistant Professor in Mathematics at the Indian Institute of Carpet Technology, Bhadohi, India, Dr. Manna plays a pivotal role in academic and research advancements. His expertise extends to subjects like Calculus, Linear Algebra, Functional Analysis, Applied Statistics, and Complex Analysis. His teaching philosophy integrates theoretical concepts with real-world applications, fostering a deep understanding among students.

๐Ÿ”ฌ Contributions and Research Focus On Mathematicalย 

Dr. Atanu Manna, an esteemed Assistant Professor at the Indian Institute of Carpet Technology, specializes in Functional Analysis, Operator Theory, and Inequalities. His pioneering work on Orlicz and Musielak-Orlicz spaces ๐Ÿ“, Hardy-type inequalities ๐Ÿ“Š, and Numerical Radius bounds ๐Ÿ”ข has led to groundbreaking improvements in mathematical inequalities. His contributions include refining Hardy, Copson, and Rellich inequalities, extending operator theory in Banach spaces, and developing new geometric properties of modular spaces. With numerous high-impact journal publications ๐Ÿ“–, he actively participates in international conferences ๐ŸŒ, sharing insights on mathematical analysis. His research bridges pure and applied mathematics, influencing theoretical advancements and practical applications in mathematical sciences. ๐ŸŽ“

๐ŸŒ Impact and Influence

Dr. Manna’s scholarly works have made a significant impact on Mathematical Analysis and Inequalities. His research outputs include numerous peer-reviewed journal articles and conference proceedings, enhancing the field’s understanding of functional spaces and operator inequalities. His international collaborations and participation in prestigious conferences underscore his influence in the global mathematical community.

๐Ÿ… Awards and Honorsย 

Dr. Manna has been recognized for his outstanding contributions to mathematics through multiple conference invitations, research fellowships, and academic distinctions. His First Class First rank in B.Sc. and prestigious conference presentations highlight his academic excellence.

๐Ÿ“š Academic Citations

With a growing presence in the academic world, Dr. Manna has authored and co-authored over 20 research papers in esteemed journals such as Linear Algebra and its Applications, Glasgow Mathematical Journal, Revista de la Real Academia de Ciencias, and Journal of Mathematical Analysis and Applications. His Google Scholar profile reflects his research impact, with a steadily increasing citation count, validating the significance of his work.

๐Ÿš€ Legacy and Future Contributions

Dr. Manna’s research continues to shape the field of Mathematical Inequalities and Operator Theory. His future endeavors include further advancements in Banach space geometry and numerical radius inequalities. With a strong dedication to teaching and research, he aims to mentor aspiring mathematicians, leaving a lasting impact on the academic landscape.

Publications Top Notes

๐Ÿ“– Numerical radius and Berezin number inequality
๐Ÿ“Œ Journal of Mathematical Analysis and Applications (2023) โ€“ Cited by: 7 ๐Ÿ”ข

๐Ÿ“– Difference sequence spaces derived by using generalized means
๐Ÿ“Œ Journal of the Egyptian Mathematical Society (2015) โ€“ Cited by: 6 ๐Ÿ“Š

๐Ÿ“– Some mth-order Difference Sequence Spaces of Generalized Means and Compact Operators
๐Ÿ“Œ Annals of Functional Analysis (2015) โ€“ Cited by: 6 ๐Ÿงฎ

๐Ÿ“– On the improvements of Hardy and Copson inequalities
๐Ÿ“Œ Revista de la Real Academia de Ciencias Exactas, Fรญsicas y Naturales (2023) โ€“ Cited by: 3 ๐Ÿ“ˆ

๐Ÿ“– Norm inequalities involving upper bounds of certain matrix operators in Orlicz-type sequence spaces
๐Ÿ“Œ The Journal of Analysis (2019) โ€“ Cited by: 3 ๐Ÿ”ฃ

๐Ÿ“– Factorized enhancement of Copson’s inequality
๐Ÿ“Œ Tamkang Journal of Mathematics (2018) โ€“ Cited by: 3 ๐Ÿ†

๐Ÿ“– Norm inequalities involving upper bounds for operators in Orlicz-Taylor sequence spaces
๐Ÿ“Œ 4th International Conference in Mathematics and Computing (2018) โ€“ Cited by: 2 ๐Ÿ”ข

๐Ÿ“– Some geometric properties of Musielak-Orlicz sequence spaces generated by de la Vallee-Poussin means
๐Ÿ“Œ Mathematical Inequalities & Applications (2015) โ€“ Cited by: 2 ๐Ÿ“

๐Ÿ“– On improvements of the Hardy, Copson and Rellich inequalities
๐Ÿ“Œ arXiv preprint (2023) โ€“ Cited by: 1 ๐Ÿ”ฌ

๐Ÿ“– Orlicz extension of Numerical radius inequalities
๐Ÿ“Œ arXiv preprint (2022) โ€“ Cited by: 1 ๐Ÿ“š

๐Ÿ“– Bigeometric Cesร ro difference sequence spaces and Hermite interpolation
๐Ÿ“Œ Asian-European Journal of Mathematics (2020) โ€“ Cited by: 1 โœ๏ธ

๐Ÿ“– New Hardy-type integral inequalities
๐Ÿ“Œ Acta Sci. Math. (Szeged) (2020) โ€“ Cited by: 1 ๐ŸŽฏ

๐Ÿ“– Property (k-beta) of Musielak-Orlicz and Musielak-Orlicz-Cesaro spaces
๐Ÿ“Œ Revista de la Real Academia de Ciencias Exactas, Fรญsicas y Naturales (2019) โ€“ Cited by: 1 ๐Ÿ“

๐Ÿ“– Some geometric properties of generalized Cesaro-Musielak-Orlicz spaces equipped with the Amemiya norm
๐Ÿ“Œ Acta Mathematica Vietnamica (2016) โ€“ Cited by: 1 ๐Ÿ“‰

๐Ÿ“– Some paranormed difference sequence spaces derived by using Generalized means
๐Ÿ“Œ Kyungpook Mathematical Journal (2015) โ€“ Cited by: 1 ๐Ÿ“˜

๐Ÿ“– On (K-NUC)-property in Musielak-Orlicz spaces defined by de la Vallee-Poussin means and some countably modulared spaces
๐Ÿ“Œ DCDIS, Series A: Mathematical Analysis (2014) โ€“ Cited by: 1 ๐Ÿ”ข

๐Ÿ“– Some Geometric Properties of Generalized Cesร roโ€“Musielakโ€“Orlicz Sequence Spaces
๐Ÿ“Œ Mathematics and Computing Conference (Haldia, India) โ€“ Cited by: N/A ๐Ÿ