Alessio Mostaccio | Sustainable Materials | Best Researcher Award

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Mr. Alessio Mostaccio | Sustainable Materials | Best Researcher Award

Mr. Alessio Mostaccio,University of Roma Tor Vergata, Italy.

πŸ”¬ Alessio Mostaccio is a Post-doctoral Researcher at the University of Rome Tor Vergata specializing in laser-induced graphene (LIG) 🌱 and its applications in sustainable and wireless electronics πŸ“‘. His research focuses on developing biodegradable RFID labels, smart prosthetic sensors, and high-frequency LIG simulations. With 7 journal publications πŸ“š, 6 industry projects 🏭, and 1 patent πŸ“œ, he has pioneered LIG-based antennas for food safety and medical implants πŸ₯. His innovations drive next-generation IoT and green electronics 🌍.

🌟 Professional Profile

πŸŽ“ Early Academic Pursuits

Alessio Mostaccio embarked on his academic journey with a strong focus on materials science and electronics. His early research delved into innovative materials for sustainable and high-frequency applications, laying the foundation for his expertise in Laser-Induced Graphene (LIG). Throughout his PhD, he developed a keen interest in the interaction of LIG with microwave frequencies, which later became the central theme of his research. His academic curiosity led him to explore cutting-edge wireless technologies, aiming to bridge the gap between numerical simulations and experimental findings.

πŸ’Ό Professional Endeavors

As a Post-Doctoral Researcher at the University of Rome Tor Vergata, Alessio has been at the forefront of developing LIG-based solutions for modern electronic applications. His work extends to designing and optimizing biodegradable RFID-based labels and implantable wireless sensors. These advancements have profound implications for healthcare and sustainable electronics. His expertise in numerical modeling has played a pivotal role in refining microwave performance predictions, ensuring the practical viability of LIG in emerging wireless communication technologies.

πŸ”¬ Contributions and Research Focus On Sustainable Materials

Alessio’s research contributions have significantly impacted the field of green electronics and RFID technology. His groundbreaking numerical model provided deeper insights into LIG behavior at microwave frequencies, overcoming discrepancies between theoretical and experimental results. Notably, he pioneered the first fully LIG-based antenna capable of detecting food spoilage with an impressive read range of 1.6 meters. Additionally, he developed epidermal and implantable wireless sensors for continuous health monitoring. His current projects focus on enhancing the conductivity of LIG-based antennas through electroplating and improving the sustainability of electronic components by transferring LIG traces onto biodegradable substrates.

🌍 Impact and Influence

Alessio’s innovative research has far-reaching applications in sustainable technology, healthcare, and the Internet of Things (IoT). His work on biodegradable electronics addresses the growing concerns surrounding e-waste, offering eco-friendly alternatives for disposable sensors and wireless communication systems. The interdisciplinary nature of his research has attracted international collaborations, including a partnership with the University of British Columbia, Canada. By pushing the boundaries of wireless sensor technology, his findings contribute to the development of next-generation communication devices with minimal environmental impact.

πŸ† Awards and Honors

Alessio’s pioneering research has earned him recognition in the scientific community. His commitment to excellence and innovative contributions in RFID technology and green electronics have positioned him as a strong contender for prestigious accolades, including the Best Researcher Award. His dedication to pushing the boundaries of sustainable wireless technologies underscores his potential for future industry-defining breakthroughs.

πŸš€ Legacy and Future Contributions

Alessio Mostaccio envisions a future where sustainable electronics replace traditional components in wireless communication and healthcare. His ongoing work aims to optimize LIG properties for scalable industrial applications, ensuring their integration into mainstream electronics. By refining biodegradable electronic designs, he hopes to mitigate e-waste pollution and revolutionize the field of implantable medical devices. His legacy will be defined by his relentless pursuit of eco-friendly, high-performance technologies that merge engineering excellence with environmental responsibility.

πŸ“šPublications Top Notes

1️⃣ RFID Technology for Food Industry 4.0: A Review of Solutions and Applications

πŸ“– IEEE Journal of Radio Frequency Identification | πŸ“… 2023 | πŸ“Š 30 citations

2️⃣ Cyber-Tooth: Antennified Dental Implant for RFID Wireless Temperature Monitoring
πŸ“– IEEE International Conference on RFID Technology and Applications | πŸ“… 2021 | πŸ“Š 16 citations

3️⃣ Comparative Evaluation of Laser-Induced Graphene (LIG) Traces on Polyimide Under Soft and Hard Stress for IoT Applications
πŸ“– IEEE Journal on Flexible Electronics | πŸ“… 2023 | πŸ“Š 15 citations

4️⃣ Experimental Characterization of Laser-Induced Graphene (LIG) Antennas for S-Band Wearable Applications in 5G
πŸ“– IEEE International Conference on RFID Technology and Applications | πŸ“… 2022 | πŸ“Š 10 citations

5️⃣ Full-LIG Wireless Batteryless Sensor for the Detection of Amines
πŸ“– IEEE International Conference on Flexible and Printable Sensors | πŸ“… 2023 | πŸ“Š 8 citations

6️⃣ RFID for Food Industry 4.0 – Current Trends and Monitoring of Fruit Ripening
πŸ“– IEEE International Conference on RFID Technology and Applications | πŸ“… 2022 | πŸ“Š 6 citations

7️⃣ Laser-Induced Graphene Fan Antenna for RFID Applications
πŸ“– IEEE International Conference on RFID Technology and Applications | πŸ“… 2023 | πŸ“Š 5 citations

8️⃣ Full-LIG Wireless Batteryless Flexible Sensor for the Detection of Triethylamine
πŸ“– IEEE Journal on Flexible Electronics | πŸ“… 2024 | πŸ“Š 4 citations

9️⃣ Ultra-Low Power RFID-Based Wake-Up Architectures for Wireless Sensor Networks in Industrial Plants
πŸ“– IEEE International Conference on RFID Technology and Applications | πŸ“… 2023 | πŸ“Š 4 citations

πŸ”Ÿ Upper Bound Performances of Laser-Induced Graphene Dipoles in the UHF Band
πŸ“– International Conference on Smart and Sustainable Technologies | πŸ“… 2023 | πŸ“Š 4 citations

1️⃣1️⃣ Ultra Low Power Wireless Epidermal Sensor for Battery-less pH Monitoring in the Sub-6 GHz 5G Band
πŸ“– European Conference on Antennas and Propagation (EuCAP) | πŸ“… 2022 | πŸ“Š 3 citations

1️⃣2️⃣ Soft and Flexible Wireless Epidermal Plaster Made by Laser-Induced Graphene
πŸ“– IEEE Sensors Letters | πŸ“… 2024 | πŸ“Š 2 citations

1️⃣3️⃣ Distributed Wireless Monitoring in Oil & Gas Plants Through Mobile UAV-UGV RFID Platforms
πŸ“– IEEE International Workshop on Metrology for Industry 4.0 & IoT | πŸ“… 2023 | πŸ“Š 2 citations

1️⃣4️⃣ Upper-Bound Performance of Laser-Induced Graphene (LIG) Antennas on PEEK for Implantable Applications
πŸ“– IEEE International Symposium on Antennas and Propagation | πŸ“… 2024 | πŸ“Š 1 citation

1️⃣5️⃣ Laser-Induced Graphene: A Green Technology for the IoT
πŸ“– IEEE Electron Devices Magazine | πŸ“… 2024

Weiquan Sun | Mechanical Engineering | Best Researcher Award

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Dr. Weiquan Sun | Mechanical Engineering | Best Researcher Award

Dr. Weiquan Sun, University of Science and Technology Beijing, China.

Sun Weiquan is an πŸ”§ Intermediate Engineer at the πŸ›οΈ University of Science and Technology Beijing. He holds a πŸŽ“ master’s degree from Northwestern Polytechnical University and a PhD from UST Beijing. His research focuses on βš™οΈ vibration suppression in heavy machinery, leading to 3 SCI-indexed publications, 2 invention patents, and 3 software copyrights. As a project leader, his innovations generated πŸ’° $1 million in revenue. Recognized as an πŸ† Outstanding Employee, he continues advancing engineering technology with impactful solutions.

🌟 Professional Profile

πŸŽ“ Early Academic Pursuits

Yuan Ma | Biochemistry | Best Researcher Award

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Dr. Yuan Ma | Biochemistry | Best Researcher Award

Dr. Yuan Ma, The Chinese University of Hong Kong ,China.

πŸ”¬ Dr. MA Yuan (Ph.D.) is a distinguished researcher in nucleic acid-based drug discovery and aptamer-based translational medicine. Currently a Research Assistant Professor at Hong Kong Baptist University, he has contributed extensively to targeted cancer therapies and precision medicine. With 35+ publications, multiple patents, and high-impact grants, his work advances innovative drug development. He also mentors Ph.D. and Master’s students, shaping the future of pharmaceutical sciences. His groundbreaking research continues to transform therapeutic strategies in oncology and molecular medicine. πŸ†πŸ”

🌟 Professional Profile

πŸŽ“ Early Academic Pursuits

MA Yuan’s academic journey began at the School of Pharmaceutical Sciences, Peking University, where he earned a Bachelor of Science (2009-2013), specializing in organic chemistry, pharmacology, and pharmaceutical analysis. He continued his education at the Stake Key Laboratory of Natural and Biomimetic Drugs, Peking University, completing a Master of Science (2013-2015) with a focus on DNA synthesis, advanced medicinal chemistry, and tumor pharmacology. His Ph.D. (2015-2019) at the same institution delved into nucleic acid chemistry, advanced organic chemistry, and natural pharmaceutical chemistry, culminating in a thesis on the properties, biological activity, and mechanism of novel nucleoside (acid) lipid delivery of single-stranded oligonucleotides under the mentorship of Prof. Zhenjun Yang.

πŸ’Ό Professional Endeavors

Dr. MA Yuan’s professional career spans prestigious institutions. Since 2022, he has been a Research Assistant Professor at the Institute for Precision Medicine and Innovative Drug, Hong Kong Baptist University, leading aptamer-based translational research and drug discovery. Previously, he was a Postdoctoral Research Fellow (2020-2022) at the same institution and an Associate Research Fellow (2019-2020) at Mengchao Hepatobiliary Hospital of Fujian Medical University, where he contributed to nucleic acid-based diagnosis and treatment of primary liver cancer.

πŸ”¬ Contributions and Research Focus On BiochemistryΒ 

Dr. MA Yuan’s research primarily focuses on aptamer-based drug discovery, nucleic acid chemistry, and translational medicine. His expertise spans nucleic acid-based therapies, precision medicine, and advanced pharmaceutical formulations. He has supervised multiple postgraduate students, contributing to groundbreaking studies in triple-negative breast cancer, ovarian cancer therapy, and osteogenesis imperfecta.

🌍 Impact and Influence

Through his research, Dr. MA Yuan has secured major research grants exceeding HK$ 51 million from institutions such as the Research Grants Council and the National Natural Science Foundation of China. His work has contributed significantly to novel drug discoveries and advancements in precision medicine. He also holds three patents for innovations in nucleic acid drug delivery and targeted cancer treatments.

πŸ† Awards and Honors

Dr. MA Yuan has received several prestigious awards and recognitions, including Orphan Drug and Rare Pediatric Disease Designations from the FDA for his contributions to osteogenesis imperfecta and gastric cancer treatments.

πŸ“šAcademic Citations

Dr. MA Yuan has authored 35 peer-reviewed publications in esteemed journals, furthering knowledge in nucleic acid chemistry, aptamer-based therapies, and pharmacology. His work has been widely cited, reflecting its impact on biomedical research and pharmaceutical sciences.

  • Machine learning-powered, high-affinity modification strategies for aptamers
    Journal: Acta Materia Medica
    Year: 2025
    πŸ“šπŸ€–

  • Peptide Aptamer–Paclitaxel Conjugates for Tumor Targeted Therapy
    Journal: Pharmaceutics
    Year: 2024
    πŸ’ŠπŸŽ―

  • Developing Stapled Aptamers with a Constrained Conformation for Osteogenesis Imperfect Therapeutics
    Journal: Journal of Medicinal Chemistry
    Year: 2024
    πŸ§¬πŸ’‰

  • Targeting osteoblastic 11Ξ²-HSD1 to combat high-fat diet-induced bone loss and obesity
    Journal: Nature Communications
    Year: 2024
    πŸ”πŸ¦΄

  • Aptamer Functionalized Hypoxia-potentiating Agent and Hypoxia-inducible Factor Inhibitor Combined with Hypoxia-activated Prodrug for Enhanced Tumor Therapy
    Journal: Cancer Letters
    Year: 2024
    Citations: Not Available
    🧬🦠

  • Advancing targeted combination chemotherapy in triple negative breast cancer: nucleolin aptamer-mediated controlled drug release
    Journal: Journal of Translational Medicine
    Year: 2024
    πŸŽ—οΈπŸ’ͺ

  • Sclerostin inhibition in rare bone diseases
    Journal: Journal of Orthopaedic Translation
    Year: 2024
    🦡🦴

  • Small RNAs in Cancer Therapy
    Book Chapter: Interdisciplinary Cancer Research
    Year: 2024
    Citations: Not Available
    πŸ“–πŸ§¬

  • Aptamer AS411 interacts with the KRAS promoter/hnRNP A1 complex and shows increased potency against drug-resistant lung cancer
    Journal: RSC Medicinal Chemistry
    Year: 2024
    🚬πŸ’ͺ

  • Design and synthesis of nucleotidyl lipids and their application in the targeted delivery of siG12D for pancreatic cancer therapy
    Journal: Biomedicine and Pharmacotherapy
    Year: 2024
    πŸπŸ”¬

  • Unique quinoline orientations shape the modified aptamer to sclerostin for enhanced binding affinity and bone anabolic potential
    Journal: Molecular Therapy – Nucleic Acids
    Year: 2024
    πŸ¦΄πŸ”¬

  • The Modification Strategies for Enhancing the Metabolic Stabilities and Pharmacokinetics of Aptamer Drug Candidates
    Book Chapter: Drug Metabolism and Pharmacokinetics
    Year: 2024
    πŸ’ŠπŸ§¬

  • Intracellular sclerostin plays a vital role in tumor progression and metastasis in triple-negative breast cancer
    Journal: Cancer Research
    Year: 2024
    πŸ§ πŸ”¬

  • A bimolecular modification strategy for developing long-lasting bone anabolic aptamer
    Journal: Molecular Therapy – Nucleic Acids
    Year: 2023
    🦴✨

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

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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 🏫, specializing in pattern recognition, machine learning, and mathematical modeling πŸ”¬. With a Ph.D. from the Bulgarian Academy of Sciences πŸŽ“, his research spans image processing, artificial intelligence, and biomedical applications 🧠. He has collaborated with leading global institutions 🌍 and supervised numerous Ph.D. and Master’s students πŸ“š. His contributions to computer vision and AI-driven diagnostics πŸ€– have earned him international recognition. ✨

🌟 Professional Profile

πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ Contributions and Research Focus On Data ScienceΒ 

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

🌍 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.

πŸ† Awards and Honors

  • Best Paper Award – 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. πŸ“š

  • 2nd Place Winner in Mathematics – 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. πŸš—

  • 1st Place Winner in Mathematics – 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. πŸ”’

  • Lockheed Martin Best Paper Award – 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. πŸŽ–

πŸš€ 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.

πŸ“šPublications Top Notes

  • A system for reconstructing and visualizing three-dimensional objects
    Citations: 70 πŸ“Š
    Year: 2001 πŸ—“οΈ

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

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

  • Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features
    Citations: 35 πŸ’‘
    Year: 2012 πŸ§‘β€βš•οΈ

  • Interpolation approach for 3D smooth reconstruction of subsurface objects
    Citations: 34 🌍
    Year: 2002 πŸ–₯️

  • Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions
    Citations: 30 πŸ”¬
    Year: 2011 🧠

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

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

  • Recognition of emotional states in natural human-computer interaction
    Citations: 23 😐
    Year: 2008 πŸ€–

  • An integral active contour model for convex hull and boundary extraction
    Citations: 22 🏞️
    Year: 2009 πŸ”§

  • Threat assessment using visual hierarchy and conceptual firearms ontology
    Citations: 19 πŸ”«
    Year: 2015 🚨

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

  • Optimal set of features for accurate skin cancer diagnosis
    Citations: 18 🩺
    Year: 2014 🧬

  • Skin lesion feature vectors classification in models of a Riemannian manifold
    Citations: 17 πŸ₯
    Year: 2015 πŸ”¬

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

  • Sparse representation wavelet-based classification
    Citations: 11 πŸ–ΌοΈ
    Year: 2018 πŸ’»

  • A novel classification system for dysplastic nevus and malignant melanoma
    Citations: 11 🩺
    Year: 2016 🌟

  • New accurate automated melanoma diagnosing systems
    Citations: 11 🧬
    Year: 2015 βš•οΈ

  • Weapon ontology annotation using boundary describing sequences
    Citations: 11 πŸ”«
    Year: 2012 πŸ›‘οΈ

  • Active contour directed by the Poisson gradient vector field and edge tracking
    Citations: 10 πŸ–₯️
    Year: 2021 πŸ“‰

  • Comparing 2D borders using regular structures
    Citations: 10 πŸ”
    Year: 1994 πŸ–ΌοΈ

  • Support vector machine skin lesion classification in Clifford algebra subspaces
    Citations: 9 🩺
    Year: 2019 πŸ“ˆ

  • Poisson equation solution and its gradient vector field to geometric features detection
    Citations: 9 πŸ”¬
    Year: 2018 πŸ”§

  • Integration of low-level and ontology-derived features for automatic weapon recognition and identification
    Citations: 9 πŸ›‘οΈ
    Year: 2011 πŸ’‘

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

  • A new automatic concavity extraction model
    Citations: 9 πŸ”
    Year: 2006 🧠

  • Classification with stochastic learning methods and convolutional neural networks
    Citations: 8 πŸ€–
    Year: 2020 πŸ’»

  • From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment
    Citations: 8 πŸ”«
    Year: 2013 πŸ›‘οΈ

  • Skin lesion image classification using sparse representation
    Citations: 8 🩺
    Year: 2018 πŸ“Š

 

Inder Sekhar Yadav | Economics | Best Researcher Award

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

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 πŸ›οΈ. Specializing in Financial Economics, Corporate Finance, and Agricultural Economics πŸ“Š, he has guided multiple Ph.D. and M.Sc. scholars πŸŽ“. With extensive research in public enterprises, financial markets, and rural development, he has received prestigious awards πŸ†, including the Prof. M. J. Manohar Rao Young Economist Award. His contributions to academia and policy research continue to shape economic thought globally. 🌍

🌟 Professional Profile

πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ Contributions and Research Focus On EconomicsΒ 

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,

🌍 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.

πŸ† 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.

πŸ“š Academic CitationsΒ 

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.

πŸš€ Legacy and Future Contributions

Dr. Yadav’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.

πŸ“šPublications Top Notes

1️⃣ Financial development and economic growth: panel evidence from BRICS
πŸ“– Journal of Economics, Finance and Administrative Science 24 (47), 113-126
πŸ”’ Citations: 465 | πŸ“† Year: 2019

2️⃣ The nexus between firm size, growth and profitability: new panel data evidence from Asia–Pacific markets
πŸ“– European Journal of Management and Business Economics 31 (1), 115-140
πŸ”’ Citations: 110 | πŸ“† Year: 2022

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

4️⃣ Explaining India’s current account deficit: A time series perspective
πŸ“– Journal of Asian Business and Economic Studies 26 (1), 117-138
πŸ”’ Citations: 45 | πŸ“† Year: 2019

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

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

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

8️⃣ Macroeconomic Relationship in India: ARDL Evidence on Cointegration and Causality
πŸ“– Journal of Quantitative Economics 9 (1), 156-168
πŸ”’ Citations: 20 | πŸ“† Year: 2011

9️⃣ Causality between Public Expenditure and National Income in India: A Reexamination
πŸ“– The IUP Journal of Public Finance, 36-51
πŸ”’ Citations: 20 | πŸ“† Year: 2007

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

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

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

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

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

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

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

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

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

πŸ”Ή Co-integration, Causality, Money and Income in India
πŸ“– Journal of Quantitative Economics
πŸ”’ Citations: 5 | πŸ“† Year: 2008

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

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

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

 

Vaddi Sridhar | Agricultural | Best Researcher Award

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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 πŸ›οΈ. With a Ph.D. in Agricultural Entomology πŸŽ“ from the Indian Agricultural Research Institute, New Delhi, he specializes in eco-friendly pest management, integrated pest management (IPM), and insecticide resistance management (IRM) πŸͺ²πŸŒ±. His research contributions include climate change impact on pests, bioclimatic modeling, and sterile insect techniques (SIT) πŸ›°οΈ. A prolific author, editor, and innovator, he has led multiple national and international research collaborations, earning recognition for groundbreaking contributions in entomology πŸ†.

🌟 Professional Profile

πŸŽ“ 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.

πŸ’Ό 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

πŸ”¬ Contributions and Research Focus On AgriculturalΒ 

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

🌍 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.

πŸ† Awards and Honors

Dr. Sridhar’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

πŸ“š Academic CitationsΒ 

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.

πŸš€ 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.

πŸ“šPublications Top Notes

πŸ“Œ New record of the invasive South American tomato leaf miner, Tuta absoluta πŸͺ²

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hamed Hamouda | Biochemistry | Best Researcher Award

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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.

πŸ”¬ 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 πŸ§ͺ and biotechnological applications 🌱. An editorial board member of Frontiers in Microbiology, he has received prestigious awards, including the CAS-TWAS President’s Fellowship πŸ† and Shandong Provincial Distinguished Foreign Experts Award.

🌟 Professional Profile

πŸŽ“ 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 President’s Fellowship Program, where he specialized in enzymatic characterization for biomass degradation.

πŸ’Ό 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.

πŸ”¬ Contributions and Research Focus On BiochemistryΒ 

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, Ξ²-glucanases, and Ξ²-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.

🌍 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.

πŸ† Awards and Honors

Dr. Hamouda’s excellence in research has earned him multiple prestigious awards, including:

  • CAS-TWAS President’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.

πŸ“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.

πŸš€ 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.

πŸ“šPublications Top Notes

1️⃣ Multi-walled carbon nanotubes decorated with silver nanoparticles for antimicrobial applications πŸ¦ βš›οΈ
πŸ“œ Journal of Environmental Chemical Engineering | Cited by: 68 | Year: 2021

2️⃣ Response Surface Optimization of Bioethanol Production from Sugarcane Molasses by Pichia veronae Strain HSC‐22 πŸŒ±πŸ”¬
πŸ“œ Biotechnology Research International | Cited by: 39 | Year: 2015

3️⃣ Design of Ξ³-AlOOH, Ξ³-MnOOH, and Ξ±-Mnβ‚‚O₃ nanorods as advanced antibacterial active agents 🏭🦠
πŸ“œ Dalton Transactions | Cited by: 35 | Year: 2020

4️⃣ Rhamnolipid-coated iron oxide nanoparticles as a novel multitarget candidate against major foodborne E. coli serotypes and MRSA 🍽️🦠
πŸ“œ Microbiology Spectrum | Cited by: 32 | Year: 2022

5️⃣ Preparation, urease inhibition mechanisms, and anti-Helicobacter pylori activities of hesperetin-7-rhamnoglucoside πŸ’ŠπŸ§¬
πŸ“œ Current Research in Microbial Sciences | Cited by: 30 | Year: 2022

6️⃣ Bioethanol Production from Water Hyacinth Hydrolysate by Candida tropicalis Y-26 πŸŒΏπŸ”¬
πŸ“œ Arabian Journal for Science and Engineering | Cited by: 29 | Year: 2019

7️⃣ Biochemical Characterization of a Novel Myrosinase Rmyr from Rahnella inusitata for High-Level Preparation of Sulforaphene and Sulforaphane πŸ§ͺ🦠
πŸ“œ Journal of Agricultural and Food Chemistry | Cited by: 28 | Year: 2022

8️⃣ Design of lipid-based nanocarrier for drug delivery with double therapy for common pathogens eradication πŸ’ŠπŸš€
πŸ“œ Colloids and Surfaces A: Physicochemical and Engineering Aspects | Cited by: 21 | Year: 2021

9️⃣ Multifunctional nanoparticles based on marine polysaccharides for apremilast delivery to inflammatory macrophages πŸŒŠπŸ’‰
πŸ“œ International Journal of Biological Macromolecules | Cited by: 20 | Year: 2022

πŸ”Ÿ Combinations of alkaline hydrogen peroxide and lithium chloride/N,N-dimethylacetamide pretreatments of corn stalk for improved biomethanation πŸŒ½βš›οΈ
πŸ“œ Environmental Research | Cited by: 20 | Year: 2020

1️⃣1️⃣ Isolation of fermentative microbial isolates from sugar cane and beet molasses and evaluation for enhanced production of bioethanol πŸΆπŸ”¬
πŸ“œ Energy Sources, Part A | Cited by: 19 | Year: 2016

1️⃣2️⃣ Novel nanoblades of graphene oxide decorated with zinc oxide nanocomposite as a powerful anti-microbial active weapon 🏹🦠
πŸ“œ Synthetic Metals | Cited by: 15 | Year: 2023

1️⃣3️⃣ Statistical optimization of bioethanol production from giant reed hydrolysate by Candida tropicalis using Taguchi design πŸŒΏπŸ“Š
πŸ“œ Journal of Biotechnology | Cited by: 13 | Year: 2022

1️⃣4️⃣ Plastic-associated microbial communities in aquaculture areas 🌊🦠
πŸ“œ Frontiers in Marine Science | Cited by: 13 | Year: 2022

1️⃣5️⃣ Expression and Biochemical Characterization of a Novel Fucoidanase from Flavobacterium algicola with the Principal Product of Fucoidan-Derived Disaccharide 🦠🧬
πŸ“œ Foods | Cited by: 13 | Year: 2022

Mohammed Fadel | Mathematics | Best Researcher Award

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

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

🌟 Professional Profile

Early Academic Pursuits πŸŽ“

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 πŸ’Ό

Dr. Abdalluh currently serves as an Assistant Professor at the University of Lahej, Yemen (March 2023 – 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 2024–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 🌍

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 🎯

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 πŸ†

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 πŸ”–

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 🌟

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.

πŸ“šPublications Top Notes

πŸ† Highly Cited Works

1️⃣ On 2-variable q-Hermite polynomials
πŸ“– Aims Math 6 (8), 8705-8727
✍️ Authors: N. Raza, M. Fadel, K.S. Nisar, M. Zakarya
πŸ”’ Citations: 20
πŸ“… Year: 2021

2️⃣ Two-variable q-Laguerre polynomials from the context of quasi-monomiality
πŸ“– Journal of Mathematical Analysis and Applications 535 (2), 128126
✍️ Authors: J. Cao, N. Raza, M. Fadel
πŸ”’ Citations: 17
πŸ“… Year: 2024

3️⃣ A Review of q-Difference Equations for Al-Salam–Carlitz Polynomials and Applications to U(n + 1) Type Generating Functions and Ramanujan’s Integrals
πŸ“– Mathematics 11 (7), 1655
✍️ Authors: J. Cao, J.Y. Huang, M. Fadel, S. Arjika
πŸ”’ Citations: 12
πŸ“… Year: 2023

4️⃣ Characterizing q-Bessel functions of the first kind with their new summation and integral representations
πŸ“– Mathematics 11 (18, special issue), 3831
✍️ Authors: M. Fadel, N. Raza, W.S. Du
πŸ”’ Citations: 10
πŸ“… Year: 2023

5️⃣ On a family of q-modified-Laguerre-Appell polynomials
πŸ“– Arab Journal of Basic and Applied Sciences 31 (1), 165-176
✍️ Authors: M. Fadel, A. Muhyi
πŸ”’ Citations: 9
πŸ“… Year: 2024

6️⃣ Two-Variable q-Hermite-Based Appell Polynomials and Their Applications
πŸ“– Mathematics 12 (9), 1358
✍️ Authors: M. Fadel, M.S. Alatawi, W.A. Khan
πŸ”’ Citations: 7
πŸ“… Year: 2024

7️⃣ On q-Hermite Polynomials with Three Variables: Recurrence Relations, q-Differential Equations, Summation and Operational Formulas
πŸ“– Symmetry 16 (4, special issue), 385
✍️ Author: M. Fadel
πŸ”’ Citations: 6
πŸ“… Year: 2024

8️⃣ Monomiality principle for q-polynomials: Introduction and Applications
πŸ“– Math. Mech. Complex Syst
✍️ Authors: N. Raza, M. Fadel, S. Khan, C. Cesarano, R. William
πŸ”’ Citations: 6
πŸ“… Year: 2024

9️⃣ A note on q-truncated exponential polynomials
πŸ“– KARPATSΚΉKI MATEMATICNI PUBLÌKACII 16 (1), 128-147
✍️ Authors: N. Raza, M. Fadel, C. Cesarano
πŸ”’ Citations: 5
πŸ“… Year: 2024

πŸ”Ÿ Bivariate q-Laguerre–Appell polynomials and their applications
πŸ“– Applied Mathematics in Science and Engineering 32 (1), 2412545
✍️ Authors: M. Fadel, N. Raza, A. Al-Gonah, U. Duran
πŸ”’ Citations: 4
πŸ“… Year: 2024

 

fazlay ahmed | Astrophysics | Best Researcher Award

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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 πŸ•³οΈβœ¨. He earned his Ph.D. in Physics from Jamia Millia Islamia, India πŸŽ“ and is currently a Postdoctoral Fellow at Zhejiang University of Technology, China πŸ”¬. With impactful publications in renowned journals, his research explores black hole dynamics and astrophysical phenomena 🌌. A passionate educator and speaker, he has presented at prestigious international conferences, shaping the future of cosmology and gravity research πŸŒ πŸ“–.

🌟 Professional Profile

πŸŽ“ 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.

πŸ’Ό Professional Endeavors

Dr. Ahmed embarked on his research career as a Research Scholar at the Centre for Theoretical Physics, Jamia Millia Islamia, New Delhi (2013–2019), 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 (2019–2021) and later at OSGU, Hisar, Haryana (2021–2023). 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.

πŸ”¬ Contributions and Research Focus On AstrophysicsΒ 

Dr. Ahmed’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.

🌍 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.

πŸ… Awards and HonorsΒ 

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.

πŸ”¬ 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

 

πŸ“– Collision of two general particles around a rotating regular Hayward’s black holes
πŸ‘¨β€πŸ”¬ Authors: M. Amir, F. Ahmed, S.G. Ghosh
πŸ“… Year: 2016
πŸ”’ Citations: 31
πŸ“š Journal: The European Physical Journal C 76 (10), 532

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

πŸ“– Black string surrounded by a static anisotropic quintessence fluid
πŸ‘¨β€πŸ”¬ Authors: M.S. Ali, F. Ahmed, S.G. Ghosh
πŸ“… Year: 2020
πŸ”’ Citations: 12
πŸ“š Journal: Annals of Physics 412, 168024

πŸ“– Particle acceleration of two general particles in the background of rotating AyΓ³n-Beato-GarcΓ­a black holes
πŸ‘¨β€πŸ”¬ Authors: F. Ahmed, M. Amir, S.G. Ghosh
πŸ“… Year: 2019
πŸ”’ Citations: 5
πŸ“š Journal: Astrophysics and Space Science 364 (1), 10

πŸ“– 5D rotating regular Myers-Perry black holes and their shadow
πŸ‘¨β€πŸ”¬ Authors: F. Ahmed, D.V. Singh, S.G. Ghosh
πŸ“… Year: 2020
πŸ”’ Citations: 4
πŸ“š Journal: arXiv preprint arXiv:2008.10241

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

Xiaohan Xing | Biomedical Engineering | Young Scientist Award

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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. πŸŽ“ He holds a Ph.D. in Electronic Engineering from CUHK and has received prestigious awards, including the MICCAI Young Scientist Award (2022) πŸ† and ASTRO Best of Physics Award (2024) πŸ₯‡. His research focuses on developing efficient AI models for disease diagnosis πŸ₯πŸ“Š. As an academic leader, he has served as MICCAI 2024 Area Chair and a reviewer for top-tier journals. ✨

🌟 Professional Profile

πŸŽ“ 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.

πŸ’Ό Professional Endeavors

Dr. Xing has held prestigious postdoctoral positions at leading institutions. He is currently a Postdoctoral Fellow at Stanford University’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.

πŸ”¬ Contributions and Research Focus On Biomedical Engineering

Dr. Xing’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 πŸ₯

  • Interpretable AI models for omics data analysis 🧬

  • Multi-modal learning approaches integrating medical images and genomic data πŸ–ΌοΈβž•πŸ“Š

  • Trustworthy AI models for precision medicine applications πŸ₯

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.

🌍 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.

πŸ… Awards and HonorsΒ 

Dr. Xing’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.

πŸŽ’ 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.

πŸ“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.

πŸš€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

 

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

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

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

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

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

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

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

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

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

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

  • πŸ€– Medical Federated Learning with Joint Graph Purification for Noisy Label Learning
    πŸ“– Medical Image Analysis
    πŸ‘₯ Cited by: 18 πŸ“† Year: 2023

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

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

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