Santos Kumar Das | Internet of Things | Excellence in Innovation

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Dr. Santos Kumar Das, Internet of Things , Excellence in Innovation

Doctorate at National Institite of Technology Rourkela, India

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🌟Summary

Dr. Santos Kumar Das is an Associate Professor at the Department of Electronics & Communication Engineering, National Institute of Technology Rourkela, India. He holds a PhD in Communication Network from NIT Rourkela, and his research interests span AI, IoT, Sensor Networking, and Optical Networking (including LiFi, FSO, SDN). With a robust academic background and extensive professional experience both in academia and industry, Dr. Das has contributed significantly to research, education, and professional service in his field.

🎓 Education

  • PhD: Communication Network, NIT Rourkela, India, 2014
  • M.S: Electrical Communication Engineering, IISc Bangalore, India, 2002
  • B.E: Electronics and Communication, VSSUT (Formerly UCE), Burla, India, 1998

💼 Professional Experience

Dr. Santos Kumar Das brings a wealth of diverse professional experience spanning both industry and academia. He began his career as a Research Engineer at A-Star Singapore, contributing to research and development initiatives in collaboration with prominent institutions. His subsequent roles as a Software Integration Engineer at Motorola Electronics Pvt. Ltd. and as a Senior Software Engineer at companies like Palvision and ITXpress/Xpress Distribution in Singapore provided him with extensive expertise in software development and integration within dynamic technological environments.

Transitioning to academia, Dr. Das served as a Lecturer at VSSUT Burla before joining the National Institute of Technology Rourkela (NIT Rourkela), where he currently holds the position of Associate Professor. At NIT Rourkela, he has significantly contributed to the field of Electronics & Communication Engineering, supervising numerous PhD, M.Tech, and B.Tech students. His academic leadership also includes roles such as Lab In-Charge and Faculty Advisor, where he has overseen various research and educational initiatives.

Dr. Das’s professional journey is marked by a strong commitment to research and innovation, evident through his prolific publication record and involvement in prestigious conferences and workshops globally. His multifaceted experience blends seamlessly with his research interests in AI, IoT, Sensor Networking, and Optical Networking, positioning him as a respected figure in the field.

🔬 Research Interests

Dr. Santos Kumar Das is deeply engaged in research at the intersection of cutting-edge technologies in the fields of Artificial Intelligence (AI), Internet of Things (IoT), Sensor Networking, and Optical Networking. His research endeavors encompass a wide spectrum of applications and theoretical advancements, focusing particularly on AI-driven solutions for complex systems, IoT-enabled smart environments, and innovative sensor networking protocols. Dr. Das also explores Optical Networking technologies such as LiFi (Light Fidelity), Free Space Optics (FSO), and Software-Defined Networking (SDN), aiming to enhance data transmission efficiency, security, and scalability in next-generation communication networks. With a robust academic background and extensive practical experience, he continues to lead pioneering research efforts that bridge fundamental research with practical applications, contributing significantly to the advancement of these transformative technologies.

📖 Publication Top Noted

Article: Swin transformer based vehicle detection in undisciplined traffic environment

  • Authors: Prashant Deshmukh, GSR Satyanarayana, Sudhan Majhi, Upendra Kumar Sahoo, Santos Kumar Das

  • Journal: Expert Systems with Applications

  • Year: 2023

  • Citation: 25

Article: Vehicle detection and classification with spatio-temporal information obtained from CNN

  • Authors: GSR Satyanarayana, Prashant Deshmukh, Santos Kumar Das

  • Journal: Displays

  • Year: 2022

  • Citation: 14

Article: Performance analysis of ACO-OFDM NOMA for VLC communication

  • Authors: Jayashree Pradhan, Pratiksha Holey, Vinod Kiran Kappala, Santos Kumar Das

  • Journal: Optical and Quantum Electronics

  • Year: 2022

  • Citation: 14

Article: An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach

  • Authors: K Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, Santos Kumar Das

  • Journal: Sustainable Cities and Society

  • Year: 2021

  • Citation: 40

Article: Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

  • Authors: K Krishna Rani Samal, Korra Sathya Babu, Santos Kumar Das

  • Journal: Urban Climate

  • Year: 2021

  • Citation: 39

Zhengyi FU | Structural Engineering | Best Researcher Award

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Mr. Zhengyi FU, Structural Engineering, Best Researcher Award

Mr. Zhengyi FU at city university of Hong Kong, Hong Kong

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🌟Summary

Fu Zhengyi is a dedicated researcher in the field of structural engineering, currently pursuing his Ph.D. at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. With a strong academic background including a Master’s from Central South University and a Bachelor’s from Nanchang University, his research focuses on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. Fu Zhengyi’s work, highlighted by publications in renowned journals and participation in significant research projects, aims to innovate methodologies that enhance the reliability and efficiency of structural assessment practices. His career aspirations include contributing to the advancement of structural health monitoring technologies to ensure the resilience and safety of civil infrastructure.

🎓 Education

Fu Zhengyi completed his Ph.D. in Structural Engineering at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. Prior to this, he obtained a Master’s degree from Central South University and a Bachelor’s degree from Nanchang University. His academic journey has been marked by a strong foundation in engineering principles and a specialization in structural dynamics and modal analysis. Throughout his education, Fu Zhengyi has demonstrated a commitment to excellence, earning distinctions such as a National Scholarship during his Master’s studies and multiple scholarships for outstanding academic performance during his Bachelor’s degree. His research interests include modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in enhancing structural assessment methodologies.

💼 Professional Experience

Fu Zhengyi has accumulated extensive experience in the field of structural engineering, focusing primarily on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. His research has been published in reputable journals such as Engineering Structures and Mechanical Systems & Signal Processing. During his doctoral studies at City University of Hong Kong, under the guidance of Prof. Lam Heung Fai, Fu Zhengyi developed expertise in dynamic response reconstruction methodologies and Bayesian modal analysis. His contributions extend to practical applications, including participation in research projects such as the topographic wind parameter test of Nujiang Bridge and the excitation and vibration measurement experiment on Hongyan Village Bridge. Fu Zhengyi’s professional journey underscores a commitment to advancing the understanding and management of structural behavior through innovative research and practical experimentation.

🔬 Research Interests

Fu Zhengyi’s research interests span a diverse array of topics within structural engineering, with a particular emphasis on modal identification, modal updating, damage detection, response reconstruction, and the integration of artificial intelligence techniques. His work aims to advance the understanding and application of modal analysis methods to enhance the reliability and efficiency of structural assessment and maintenance practices. Fu Zhengyi is particularly passionate about developing innovative approaches that leverage Bayesian methodologies for modal analysis and exploring the potential of artificial intelligence algorithms to optimize response reconstruction and damage detection processes. His research contributions aim to address current challenges in structural health monitoring and contribute to the resilience and longevity of civil infrastructure.

📖 Publication Top Noted

Article: A response reconstruction method based on empirical mode decomposition and modal synthesis method

  • Authors: Jinsong Yang, Zhengyi Fu, Yunfeng Zou, Xuhui He, Xiaojun Wei, Tiantian Wang

  • Journal: Mechanical Systems and Signal Processing

  • Year: 2023

  • Citation: 16

Article: An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition

  • Authors: Zheng Yi Fu, Mujib Olamide Adeagbo, Heung Fai Lam

  • Journal: International Journal of Structural Stability and Dynamics

  • Year: 2023

  • Citation: 3

Article: Dynamic Response Reconstruction Method Based on Empirical Mode Decomposition and Model Condensation

  • Authors: ZOU Yun-feng, FU Zheng-yi, HE Xu-hui, LU Xuan-dong, YANG Jin-song, ZHOU Shuai

  • Year: 2021

  • Citation: 3

Article: Time-domain structural model updating following the Bayesian approach in the absence of system input information

  • Authors: Heung Fai Lam, Fu Zheng Yi, Mujib Olamide Adeagbo, Jia Hua Yang

  • Journal: Engineering structures

  • Year: 2024

Article: A new time-domain dynamic response reconstruction method based on model condensation

  • Authors: ZY FU, HF LAM

  • Journal: The 26th Annual Conference of HKSTAM 2023 The 18th Shanghai–Hong Kong Forum on Mechanics and Its Application

  • Year: 2023

Md Shahidul Islam | Infectious Disease Modeling | Best Researcher Award

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Mr. Md Shahidul Islam, Infectious Disease Modeling, Best Researcher Award

Mr. Md Shahidul Islam at Green University Of Bangladesh, Bangladesh

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🌟Summary:

MD Shahidul Islam is a dedicated educator and researcher in Computational Science, currently pursuing a Ph.D. at the University of Tennessee, Chattanooga. His expertise spans evolutionary game theory, computational biology, and machine learning, focusing on applications in epidemiology and complex networks.

🎓 Education:

  • Ph.D. in Computational Science (Fall 2024) University of Tennessee, Chattanooga, USA
  • M.Sc. in Mathematics (2019-2020) Shahjalal University of Science and Technology, Bangladesh
  • B.Sc. in Mathematics (2015-2019) Shahjalal University of Science and Technology, Bangladesh

💼 Professional Experience:

MD Shahidul Islam currently serves as a Lecturer in the Department of Computer Science and Engineering at Green University of Bangladesh, Dhaka. His role involves both teaching and research, where he instructs courses such as Calculus, Differential Equations, Statistics, and Complex Variables. His research is centered on evolutionary game theory and computational biology, with specific interests in epidemiology, optimal control, cancer biology, and neuroscience. He is actively involved in exploring the dynamics of complex social networks and applying machine learning techniques in his research endeavors.

🔬 Research Interests:

MD Shahidul Islam’s research interests span across several interdisciplinary domains in Computational Science. He is particularly fascinated by evolutionary game theory, exploring how strategic interactions evolve in complex networks. His work in computational biology delves into epidemiology, where he investigates the impact of disease dynamics and immunization strategies on network resilience during epidemics. Additionally, he applies mathematical models to understand cancer biology and neuroscience, aiming to optimize treatment strategies. His expertise also extends to complex social networks, where he studies the dynamics and emergent behaviors influenced by network structures. In parallel, he employs machine learning and deep learning techniques to enhance predictive modeling in biological and social contexts.

his paragraph succinctly covers MD Shahidul Islam’s diverse research interests, showcasing his multidisciplinary approach within Computational Science, including evolutionary game theory, computational biology (with a focus on epidemiology and cancer biology), complex social networks, and machine learning applications.

📖 Publication Top Noted

Article: Mathematical Analysis and Prediction of Future Outbreak of Dengue on Time-Varying Contact Rate Using Machine Learning Approach

  • Authors: Md Shahidul Islam, Pabel Shahrear, Goutam Saha, Md Ataullah, M. Shahidur Rahman
  • Journal: Computers in Biology and Medicine
  • Volume: 135
  • Pages: 108707
  • Year: 2024

Article: Understanding the Impact of Vaccination and Self-Defense Measures on Epidemic Dynamics Using an Embedded Optimization and Evolutionary Game Theory Methodology

  • Authors: K. M. Ariful Kabir, MD Shahidul Islam, Mohammad Sharif Ullah
  • Journal: Vaccines
  • Volume: 11
  • Issue: 9
  • Pages: 1421
  • Year: 2023

Md. Torequl Islam | Healthcare Data Analysis | Best Researcher Award

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Dr. Md. Torequl Islam, Healthcare Data Analysis, Best Researcher Award

Doctorate at Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh

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🌟Summary:

Md. Torequl Islam, PhD, is an accomplished researcher and educator specializing in pharmaceutical sciences and biotechnology. He holds a Doctorate in Biotechnology from Federal University of Piaui, Brazil, with expertise in oxidative stress, nanoemulsion characterization, and toxicology. Currently, he serves as an Associate Professor at BSMRSTU, Bangladesh, conducting neurobiological research on natural compounds.

🎓 Education:

  • PhD in Biotechnology, Federal University of Piaui, Brazil (2017)
  • M.Pharm., Southern University Bangladesh (2014)
  • B.Pharm., Khulna University, Bangladesh (2010)

💼 Professional Experience:

  • Postdoctoral Fellow, Pharmacy Discipline, Khulna University, Bangladesh (2024 – Present)
  • Associate Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2023 – Present)
  • Assistant Professor, Department of Pharmacy, BSMRSTU, Bangladesh (2019 – 2023)
  • Lecturer, Department of Pharmacy, BSMRSTU, Bangladesh (2018)
  • Lecturer, Department of Pharmacy, Southern University Bangladesh (2008 – 2014)
  • Postdoctoral Research, Federal University of Piaui, Brazil (2017 – 2018)
  • Part-time Researcher, Ton Duc Thang University, Vietnam (2018 – 2021)

🔬 Research Interests:

Dr. Md. Torequl Islam’s research interests encompass a diverse spectrum within pharmaceutical sciences and biotechnology, focusing on neurobiological studies of natural compounds, nanoemulsion technology, toxicology, and risk assessment. He is actively involved in exploring the therapeutic potential of bioactive substances through interdisciplinary approaches, aiming to advance scientific understanding and contribute innovative solutions to global health challenges. His work integrates cutting-edge methodologies to investigate the pharmacological properties and safety profiles of novel compounds, fostering collaborations across international research networks for impactful scientific outcomes.

📖 Publication Top Noted

Article: Nanoparticles as antimicrobial and antiviral agents: A literature-based perspective study

  • Authors: Shabnam Sharmin, Md Mizanur Rahaman, Chandan Sarkar, Olubunmi Atolani, Mohammad Torequl Islam, Oluyomi Stephen Adeyemi
  • Journal: Heliyon
  • Year: 2021
  • Citation: 172

Article: Targeting cancer cells with nanotherapeutics and nanodiagnostics: Current status and future perspectives

  • Authors: Eunus S Ali, Shazid Md Sharker, Muhammad Torequl Islam, Ishaq N Khan, Subrata Shaw, Md Atiqur Rahman, Shaikh Jamal Uddin, Manik Chandra Shill, Shahnawaz Rehman, Niranjan Das, Saheem Ahmad, Jamil A Shilpi, Swati Tripathi, Siddhartha Kumar Mishra, Mohammad S Mubarak
  • Journal: Seminars in cancer biology
  • Year: 2021
  • Citation: 179

Article: Natural products and their derivatives against coronavirus: A review of the non-clinical and pre-clinical data

  • Authors: Mubarak MS Islam MT, Sarkar C, El-Kersh DM, Jamaddar S, Uddin SJ, Shilpi JA
  • Journal: Phytotherapy Research
  • Year: 2020
  • Citation: 262

Article: Anti-viral potential of garlic (Allium sativum) and it’s organosulfur compounds: A Systematic update of pre-clinical and clinical data

  • Authors: Sarker SD Rouf R, Sarker DK, Islam MT, Ali ES, Shilpi JA, Nahar L, Tiralongo E
  • Journal: Trends in Food Science and Technology
  • Year: 2020
  • Citation: 246

Article: Neuropharmacological effects of quercetin: a literature-based review

  • Authors: Md Shahazul Islam, Cristina Quispe, Rajib Hossain, Muhammad Torequl Islam, Ahmed Al-Harrasi, Ahmed Al-Rawahi, Miquel Martorell, Assem Mamurova, Ainur Seilkhan, Nazgul Altybaeva, Bagila Abdullayeva, Anca Oana Docea, Daniela Calina, Javad Sharifi-Rad
  • Journal: Frontiers in pharmacology
  • Year: 2021
  • Citation: 106

Flavia Medeiros Savi | Regenerative Medicine | Best Researcher Award

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Dr. Flavia Medeiros Savi, Regenerative Medicine, Best Researcher Award

Doctorate at Queensland University of Technology, Australia

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Dr. Flávia Medeiros Savi 🧬

Dr. Flávia Medeiros Savi is a distinguished researcher at Queensland University of Technology (QUT), affiliated with the Faculty of Engineering in the Regenerative Medicine group. Her expertise spans the intricate domains of biomedical engineering and medical physics, with a primary focus on advancing tissue regeneration through innovative 3D printed implants.

🎓 Education and Academic Background

Dr. Savi earned her PhD in Biomedical Engineering and Medical Physics from QUT, Australia, where she also completed her Bachelor’s Degree in Biological Science at UNISUL, Brazil.

🔬 Research Focus and Contributions

As an NHMRC Postdoctoral Research Fellow at QUT, Dr. Savi pioneers the characterization and evaluation of 3D printed implants, particularly in treating segmental bone defects and facilitating breast reconstruction in large animal models. Her research integrates cutting-edge methodologies such as histological, immunohistochemical, and microscopic analyses to elucidate the complexities of bone tissue engineering.

🏆 Accolades and Awards

Dr. Savi’s contributions have been recognized globally, including prestigious awards like the QUT Science in Focus Image Competition Research Choice award for her work titled “Bone Jungle.” She has been instrumental in securing significant research grants, such as the Australia-Germany Joint research cooperation scheme and various QUT ECR Seed Grants.

🌍 International Collaborations

Her collaborative efforts extend internationally, evidenced by her tenure as a Chief Investigator at the Max Planck Queensland Centre for the Materials Science of Extracellular Matrices in Brisbane, Australia, and her postdoctoral research stint at the Max Planck Institute of Colloids and Interfaces in Golm, Germany.

🔍 Skills and Expertise

She possesses exceptional skills in advanced computational methods for quantitative analysis of 3D printed implants, along with expertise in biocompatibility testing and histological evaluation techniques critical for tissue engineering advancements.

🏅 Professional Affiliations

Dr. Savi maintains active involvement in professional societies and consortia, contributing significantly to the interdisciplinary dialogue on tissue morphogenesis and biomaterials.

📖 Publication Top Noted

Article: Convergence of scaffold-guided bone regeneration principles and microvascular tissue transfer surgery
  • Authors: David S Sparks, Flavia M Savi, Constantin E Dlaska, Siamak Saifzadeh, Gary Brierly, Edward Ren, Amaia Cipitria, Johannes C Reichert, Marie-Luise Wille, Michael A Schuetz, Nicola Ward, Michael Wagels, Dietmar W Hutmacher
  • Journal: Science advances
  • Year: 2023
  • Citation: 7
Article: Histological and Immunohistochemical Characterization of Osteoimmunological Processes in Scaffold-Guided Bone Regeneration in an Ovine Large Segmental Defect Model
  • Authors: Ronja Finze, Markus Laubach, Mairim Russo Serafini, Ulrich Kneser, Flavia Medeiros Savi
  • Journal: Biomedicines
  • Year: 2023
  • Citation: 4
Article: In vivo characterization of 3D-printed polycaprolactone-hydroxyapatite scaffolds with Voronoi design to advance the concept of scaffold-guided bone regeneration
  • Authors: Markus Laubach, Buddhi Herath, Nathalie Bock, Sinduja Suresh, Siamak Saifzadeh, Bronwin L Dargaville, Jacqui McGovern, Marie-Luise Wille, Dietmar W Hutmacher, Flavia Medeiros Savi
  • Journal: Frontiers in Bioengineering and Biotechnology
  • Year: 2023
  • Citation: 4
Article: Protocol for the BONE-RECON trial: A single-arm feasibility trial for critical sized lower limb BONE defect RECONstruction using the mPCL-TCP scaffold system with autologous …
  • Authors: David S Sparks, Jay Wiper, Thomas Lloyd, Marie-Luise Wille, Marjoree Sehu, Flavia M Savi, Nicola Ward, Dietmar W Hutmacher, Michael Wagels
  • Journal: BMJ open
  • Year: 2023
  • Citation: 4
Article: Bone regeneration exploiting corticoperiosteal tissue transfer for scaffold-guided bone regeneration
  • Authors: David S Sparks, Flavia Medeiros Savi, Siamak Saifzadeh, Marie-Luise Wille, Michael Wagels, Dietmar W Hutmacher
  • Journal: Tissue Engineering Part C: Methods
  • Year: 2022
  • Citation: 9

Juan Antonio Gonzalez Vera | chemistry | Best Researcher Award

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Assoc Prof Dr. Juan Antonio Gonzalez Vera, chemistry, Best Researcher Award

Assoc Prof Dr. Juan Antonio Gonzalez Vera at Faculty Of Pharmacy/universidad De Granada, Spain

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🌟 Summary

Dr. Juan Antonio González Vera is an esteemed Associate Professor at the University of Granada, specializing in Chemical Biology. His notable contributions include developing fluorescent peptide biosensors and lanthanide-based luminescent probes. His work has received global recognition, securing over €0.6 million in research funding and yielding significant societal and economic impact through collaborations and patents.

🎓 Education

  • PhD in Pharmacy (2006) – University Complutense of Madrid, Spain. Dr. González Vera’s doctoral research focused on the development of peptidomimetics for cancer treatment, earning him the Rafael Folch Foundation Award.
  • Degree in Pharmacy (2000) – University of Granada, Spain. He graduated with a grade point average of 3.5, laying a strong foundation for his future research in Chemical Biology and Organic Chemistry.

💼 Professional Experience

Dr. Juan Antonio González Vera boasts a diverse and accomplished career in academia and research. Currently, he serves as an Associate Professor at the University of Granada (2022-present), where he also held roles as Professor Hired Doctor Indefinite (2021-2022), Assistant Professor Doctor (2018-2021), Interim Substitute Professor (2017-2018), and Contract Researcher (2017). Before joining the University of Granada, he was a Marie Curie Postdoctoral Researcher at the Institut des Biomolécules Max Mousseron in Montpellier, France (2015-2016). He also held postdoctoral positions at the Institute of Medicinal Chemistry, CSIC (2012-2014), and the University Complutense of Madrid (2009-2011). His international experience includes a significant stint as a Postdoctoral Researcher at the Massachusetts Institute of Technology (MIT) in the USA (2006-2008), where he advanced his expertise in Chemical Biology and Organic Synthesis.

🔬 Research Interests

Dr. Juan Antonio González Vera’s research is at the forefront of Chemical Biology, focusing on several key areas:

  • Biosensors: Developing advanced fluorescent peptide and lanthanide-based biosensors for studying kinase activity and protein-protein interactions. His innovative biosensors are used extensively for in vitro kinase activity studies.
  • Organic Synthesis: Creating novel fluorescent probes and solvatochromic fluorophores, such as Quinolimides, for applications in biological imaging and diagnostics.
  • Physical Chemistry: Utilizing cutting-edge microscopy techniques like Fluorescence Lifetime Imaging Microscopy (FLIM) and Phosphorescence Lifetime Imaging Microscopy (PLIM) to explore complex biological systems.
  • Luminescent Probes and Sensors: Designing lanthanide antennas and other luminescent probes for intracellular imaging and the detection of biological molecules, contributing to advancements in areas such as cancer diagnosis and the study of amyloid fibrillization.
  • Interdisciplinary Collaboration: Engaging in extensive collaboration with technological companies and academic institutions globally, driving forward innovative research and practical applications of biosensors and luminescent materials.

📖 Publication Top Noted

Article: Environment-Sensitive Probes for Illuminating Amyloid Aggregation In Vitro and in Zebrafish
  • Authors: Francisco Fueyo-González, Juan A González-Vera, Ibon Alkorta, Lourdes Infantes, Maria Luisa Jimeno, Paula Aranda, Dario Acuña-Castroviejo, Alvaro Ruiz-Arias, Angel Orte, Rosario Herranz
  • Journal: ACS sensors
  • Year: 2020
  • Citation: 25
Article: Identification of quinazolinone analogs targeting CDK5 kinase activity and glioblastoma cell proliferation
  • Authors: Marion Peyressatre, Dominique Patomo Arama, Arthur Laure, Juan A González-Vera, Morgan Pellerano, Nicolas Masurier, Vincent Lisowski, May C Morris
  • Journal: Frontiers in Chemistry
  • Year: 2020
  • Citation: 20
Article: Apoferritin protein amyloid fibrils with tunable chirality and polymorphism
  • Authors: Rocío Jurado, Jozef Adamcik, Miguel López-Haro, Juan A González-Vera, Álvaro Ruiz-Arias, Antoni Sánchez-Ferrer, Rafael Cuesta, José M Domínguez-Vera, José J Calvino, Angel Orte, Raffaele Mezzenga, Natividad Gálvez
  • Journal: Journal of the American Chemical Society
  • Year: 2018
  • Citation: 25
Article: Smart lanthanide antennas for sensing water
  • Authors: Francisco Fueyo-González, Emilio Garcia-Fernandez, David Martínez, Lourdes Infantes, Angel Orte, Juan A González-Vera, Rosario Herranz
  • Journal: Chemical communications
  • Year: 2020
  • Citation: 24
Article: Lanthanide-based peptide biosensor to monitor CDK4/cyclin D kinase activity
  • Authors: Juan A González-Vera, David Bouzada, Céline Bouclier, M Eugenio Vázquez, May C Morris
  • Journal: Chemical communications
  • Year: 2017
  • Citation: 23

Konstantina Kouvara | Environmental Data Analysis | Best Researcher Award

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Mrs. Konstantina Kouvara, Environmental Data Analysis, Best Researcher Award

Mrs. Konstantina Kouvara at University of Patras, Greece

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🌟 Summary

Konstantina Kouvara is a dedicated PhD student specializing in marine litter at the University of Patras. She has significant experience in oceanography and biology, with a strong focus on marine environmental research. Konstantina has contributed to multiple publications and has participated in various projects related to marine litter management.

🎓 Education

  • PhD in Marine Litter (Ongoing since 2021) – University of Patras
  • MSc in Oceanography (2019-2021) – University of Patras
  • BSc in Biology (2015-2019) – University of Patras

💼 Professional Experience

  • Scientific Guidance and Supervision (05/2023 – 10/2023) – University of Patras
    Duties: Oversaw a pilot project on marine litter management, prepared economic and environmental impact studies, and developed action plans.
  • Lab Technician (10/2020 – 05/2021) – University of Patras
    Duties: Cultivated microalgae and tested for antimicrobial activity.

🔬 Research Interests

  • Collection and analysis of marine litter data
  • Identification of distribution patterns and sources of marine litter
  • Participation in marine litter clean-up campaigns
  • Presentations and dissemination of research findings

📖 Publication Top Noted

Article: Assessing marine litter in a highly polluted area in the Mediterranean: A multi-perspective approach in the Saronikos Gulf, Greece
  • Authors: Kouvara, K., Kosmopoulou, A., Fakiris, E., Galgani, F., Papatheodorou, G.
  • Journal: Marine Pollution Bulletin
  • Volume: 203
  • Pages: Article 116497
  • Year: 2024
Article: Isolation, identification, and chemical composition analysis of nine microalgal and cyanobacterial species isolated in lagoons of Western Greece
  • Authors: Hotos, G., Avramidou, D., Mastropetros, S.G., Makridis, P., Kornaros, M.
  • Journal: Algal Research
  • Volume: 69
  • Pages: Article 102935
  • Year: 2023
Article: COVID-19-related litter pollution on Greek beaches and nearshore shallow water environments
  • Authors: Kouvara, K., Papatheodorou, G., Kosmopoulou, A., Fakiris, E., Geraga, M.
  • Journal: Marine Pollution Bulletin
  • Volume: 185
  • Pages: Article 114250
  • Year: 2022

Eric Holland | Big Data Analytics | Best Researcher Award

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Prof Dr. Eric Holland, Big Data Analytics, Best Researcher Award

Prof Dr. Eric Holland at Fred Hutch Cancer Center, United States

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🌟 Summary

Eric Charles Holland is a distinguished researcher and academician specializing in neuro-oncology, currently serving as a Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA. With extensive experience spanning clinical practice and translational research, he has made significant contributions to understanding and treating brain tumors.

🎓 Education

Eric Charles Holland pursued an academic journey marked by excellence and dedication to biomedical sciences. He earned his Bachelor of Science degree in Chemistry from Miami University in Oxford, OH, from 1977 to 1981, setting a solid foundation in the fundamentals of chemical sciences. Continuing his academic pursuits, Holland completed his PhD in Biochemistry & Molecular Biology at the University of Chicago from 1981 to 1985, where he engaged deeply in the molecular mechanisms underlying biological processes. Following his PhD, he further expanded his expertise by obtaining an MD in Medicine from Stanford University between 1985 and 1990, thereby integrating clinical insights with his strong research background.

💼 Professional Experience

Eric Charles Holland is a distinguished figure in neuro-oncology with a robust professional trajectory spanning prestigious institutions and significant leadership roles. He currently holds the position of Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA, a role he has held since 2013. Previously, he served as the Director of the Nancy and Buster Alvord Brain Tumor Center at the University of Washington, Seattle, WA, from 2013 to 2019. Prior to that, he was an Attending Surgeon at Memorial Hospital for Cancer and Allied Diseases in New York, NY, from 2006 to 2013, where he also held an Associate Professorship at Cornell University from 2000 to 2006. His career is distinguished by his contributions to advancing neurosurgical techniques and his leadership in multidisciplinary research initiatives aimed at improving treatments for brain tumors.

🔬 Research Interests

Eric Charles Holland is renowned for his pioneering research in neuro-oncology, focusing particularly on gliomas, the most common type of brain tumor. His research spans from basic molecular biology to translational studies aimed at developing innovative therapies. Holland is deeply engaged in understanding the genetic and molecular mechanisms that drive glioma formation and progression, utilizing advanced techniques such as transgenic models to simulate human disease conditions. His work also delves into the complex interactions within the tumor microenvironment and their impact on treatment outcomes. Holland’s interdisciplinary approach integrates molecular biology, genetics, and clinical research, aiming to accelerate the translation of scientific discoveries into effective therapies for patients with brain tumors.

📖 Publication Top Noted

Paper Title: CSF-1R inhibition alters macrophage polarization and blocks glioma progression
    • Authors: Stephanie M Pyonteck, Leila Akkari, Alberto J Schuhmacher, Robert L Bowman, Lisa Sevenich, Daniela F Quail, Oakley C Olson, Marsha L Quick, Jason T Huse, Virginia Teijeiro, Manu Setty, Christina S Leslie, Yoko Oei, Alicia Pedraza, Jianan Zhang, Cameron W Brennan, James C Sutton, Eric C Holland, Dylan Daniel, Johanna A Joyce
    • Journal: Nature medicine
    • Year: 2013
Paper Title: A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle
    • Authors: Moritz F Kircher, Adam De La Zerda, Jesse V Jokerst, Cristina L Zavaleta, Paul J Kempen, Erik Mittra, Ken Pitter, Ruimin Huang, Carl Campos, Frezghi Habte, Robert Sinclair, Cameron W Brennan, Ingo K Mellinghoff, Eric C Holland, Sanjiv S Gambhir
    • Journal: Lecture Notes in Networks and Systems
    • Year: 2012
    •  citations: 1157
Paper Title: Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
    • Authors: Victoria E Clark, E Zeynep Erson-Omay, Akdes Serin, Jun Yin, Justin Cotney, Koray Özduman, Timuçin Avşar, Jie Li, Phillip B Murray, Octavian Henegariu, Saliha Yilmaz, Jennifer Moliterno Günel, Geneive Carrión-Grant, Baran Yılmaz, Conor Grady, Bahattin Tanrıkulu, Mehmet Bakırcıoğlu, Hande Kaymakçalan, Ahmet Okay Caglayan, Leman Sencar, Emre Ceyhun, A Fatih Atik, Yaşar Bayri, Hanwen Bai, Luis E Kolb, Ryan M Hebert, S Bulent Omay, Ketu Mishra-Gorur, Murim Choi, John D Overton, Eric C Holland, Shrikant Mane, Matthew W State, Kaya Bilgüvar, Joachim M Baehring, Philip H Gutin, Joseph M Piepmeier, Alexander Vortmeyer, Cameron W Brennan, M Necmettin Pamir, Türker Kılıç, Richard P Lifton, James P Noonan, Katsuhito Yasuno, Murat Günel
    • Journal: Science
    • Year: 2013
    •  citations: 856
Paper Title: The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo
    • Authors:Jason T Huse, Cameron Brennan, Dolores Hambardzumyan, Boyoung Wee, John Pena, Sara H Rouhanifard, Cherin Sohn-Lee, Carlos Le Sage, Reuven Agami, Thomas Tuschl, Eric C Holland
    • Journal: Proceedings of the National Academy of Sciences
    • Year: 2009
    •  citations: 664
Paper Title: Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response
  • Authors: Nicholas J Szerlip, Alicia Pedraza, Debyani Chakravarty, Mohammad Azim, Jeremy McGuire, Yuqiang Fang, Tatsuya Ozawa, Eric C Holland, Jason T Huse, Suresh Jhanwar, Margaret A Leversha, Tom Mikkelsen, Cameron W Brennan
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2012
  •  citations: 611

Nidhi Upadhya | Image Processing | Best Researcher Award

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Ms. Nidhi Upadhya, Image Processing, Best Researcher Award

Ms. Nidhi Upadhya at GLA university, India

Professional Profile

Research Gate Profile
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🎯 Career Objective

Nidhi Upadhyay is an aspiring academician dedicated to contributing to the field of computer science through teaching and research. With a strong desire to work in environments that provide extensive exposure and uphold high standards, Nidhi aims to enhance her knowledge and skills while being a valuable asset to her organization.

📚 Academic Background

  • 2021 (ODD): Ph.D. in Computer Science Engineering, GLA University, Mathura, U.P.
  • 2016-2018: M.Tech in Computer Science Engineering, GLA University, Mathura, U.P.
  • 2012-2016: B.Tech in Computer Science Engineering, Aligarh College of Engineering & Technology, Aligarh, U.P.
  • 2011-2012: Intermediate, Maharishi Vidya Mandir (Sr. Sec. Public School), Aligarh, U.P.
  • 2009-2010: High School, Maharishi Vidya Mandir (Sr. Sec. Public School), Aligarh, U.P.

🏢 Professional Experience

  • Assistant Professor at GLA University (March 28, 2022 – Present)
  • Assistant Professor at Vivekananda College of Technology and Management (February 2019 – March 16, 2022)
  • Assistant Professor at SSLD Varshney Engineering College (August 2018 – January 2019)

🎓 Qualifications

  • UGC-NET Qualified (2020)

💻 Projects

M.Tech Project: Prioritization Of NFRs

  • Title: An Approach for Prioritizing NFRs According to Their Relationship with FRs
  • Technology Used: MATLAB
  • Responsibility: Prioritized NFRs with respect to FRs using the Artificial Bee Colony Algorithm based on cost.

B.Tech Project: Online Music Site

  • Technology Used: PHP
  • Responsibility: Developed a site allowing users to listen to categorized songs and request songs not listed.

💼 Areas of Interest

  • Programming Languages: C, Python, MATLAB
  • IDE: Turbo C, Microsoft Visual Studio
  • Operating Systems: Windows, Linux
  • Subjects: DBMS, Discrete Mathematics, Operating System, Software Engineering

🏅 Workshops & Certifications

  • Online FDP on “IoT Induced Artificial Intelligence for Emerging Computing Paradigms” by NIT Jalandhar (Oct 4-8, 2022)
  • Train the Teacher (T3) workshop on Cognitive Analytics by GLA University (July 25-28, 2022)
  • IEEE national workshop on “Research Paper Writing & Publication Ethics” by GLA University
  • IEEE International conference on ELECTRICAL, COMPUTER AND ELECTRONICS-UPCON-2017 by GLA University
  • Seminar on “Potential Use of Gamification in Education” by GLA University
  • Workshop on “An Introductory Course on Intellectual Property Rights” by GLA University
  • Workshop on “LaTeX- A Document Preparation System” by GLA University
  • Workshop on “Cloud Computing Using Microsoft Azure” by Aligarh College of Engineering and Technology
  • Workshop on “Flash” by i3 Indiya Technologies
  • Certificate of PHP language from NIIT Aligarh

🌟 Extra-Curricular Activities

  • Attended Entrepreneurship orientation program by N.S.I.C.
  • Participated in Science Olympiad (8th standard)
  • Engaged in various cultural activities in school and college

📖 Publication Top Noted

Paper Title: Diagnosis of fungi affected apple crop disease using improved ResNeXt deep learning model
    • Authors: Upadhyay, N., Gupta, N.
    • Journal: Multimedia Tools and Applications
    • Volume: Article in Press
    • Year: 2024
Paper Title: Potato Leaves Disease Detection with Data Augmentation Using Deep Learning Approach
    • Authors: Upadhyay, N., Gupta, N.
    • Journal: Lecture Notes in Networks and Systems
    • Volume: 623
    • Pages: 589–599
    • Year: 2023
Paper Title: A Survey on Diseases Detection for Agriculture Crops Using Artificial Intelligence
    • Authors: Upadhyay, N., Gupta, N.
    • Conference: 2021 5th International Conference on Information Systems and Computer Networks (ISCON 2021)
    • Volume: Not specified
    • Year: 2021
Paper Title: Requirement Prioritization Based on Cost using Artificial Bee Colony Algorithm
    • Authors: Upadhyay, N., Sharma, A.
    • Conference: ICRITO 2020 – IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)
    • Pages: 426–430
    • Year: 2020
    • DOI: 9197941

Serena Nik-Zainal | Big Data Analytics | Best Researcher Award

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Prof. Serena Nik-Zainal, Big Data Analytics, Best Researcher Award

Professor at University of Cambridge, United Kingdom

Professional Profile

Google Scholar Profile
Orcid Profile

🎓 Education 

  • University of Cambridge
    • B.A. (hons) – First, Physiology, 1998
    • M.B., B.Chir., Medicine/Surgery, 2000
  • Royal College of Physicians
    • M.R.C.P., Medicine, 2003
  • Wellcome Trust Sanger Institute
    • Ph.D., Cancer Genomics, 2012
  • Royal College of Physicians Specialist Register
    • Certification, Clinical Genetics, 2013

🌟 Personal Statement 

After earning a first-class degree in preclinical science and a medical degree from the University of Cambridge, sponsored by Petroliam Nasional Berhad Malaysia (PETRONAS) and as a Fellow of the Cambridge Commonwealth Trust, I specialized in Clinical Genetics. I have been an Honorary Consultant in Clinical Genetics at Cambridge University Hospitals NHS Foundation Trust since February 2013. My Ph.D. at the Wellcome Sanger Institute in 2012 focused on using next-generation sequencing (NGS) technology to explore cancer, leading to significant advancements in understanding tumor biology and mutational signatures. My current research integrates computational and experimental approaches to advance cancer genomics, developing machine-learning-based clinical algorithms and participating in large-scale projects like the UK 100,000 Genomes Project.

🏢 Positions and Honors 

Positions and Employment

  • Medical Student, University of Cambridge (1995-2000)
  • Pre-registration House Officer, East Anglian Deanery (2001-2002)
  • Senior House Officer, Medicine, East Anglian Deanery (2002-2004)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2004-2009)
  • Wellcome Clinical Research Training Fellow, Wellcome Sanger Institute (2009-2012)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2012-2013)
  • Wellcome Intermediate Clinical Research Training Fellow, Wellcome Sanger Institute (2013-2017)
  • Career Development Fellow, Wellcome Sanger Institute (2014-2017)
  • CRUK Advanced Clinician Scientist, University of Cambridge (2017-2021)
  • NIHR Research Professor of Genomic Medicine and Bioinformatics, University of Cambridge (2021-present)

Professional Memberships and Other Experience

  • Member, British Society of Genetic Medicine (2013-present)
  • EACR Ambassador (2015-present)
  • Member, Various Scientific Advisory Boards and Committees (2017-present)
  • Honorary NHS Consultant in Clinical Genetics, Cambridge University Hospital (2013-present)

Honors

  • Fellow of the Academy of Medical Sciences UK (2023)
  • Foulkes Foundation Medal UK (2021)
  • Sir Francis Crick Medal and Lecture from the Royal Society UK (2021)
  • Highly-Cited Researcher’s List Clarivate (2020)
  • EMBO Elected Fellow (2020)
  • Dr Josef Steiner Cancer Research Award (2019)
  • CRUK Pioneer Award (2016)
  • William Bate Hardy Prize (2014)
  • CRUK Future Leaders Prize (2014)
  • Wellcome-Beit Prize (2013)
  • AACR Scholar-in-training Award (2013)
  • EACR Susan G. Komen Prize (2012)
  • Robin Winter Prize (2012)

📚 Research Support 

Ongoing Research Support

  • NHSE Driver Project (Jan 2023-Mar 2024)
  • Breast Cancer Research Foundation (Oct 2022-ongoing)
  • CRUK/NIH Grand Challenge eDyNAmic (Jun 2022-May 2027)
  • UKRI DARE Sprint Exemplar (Jan 2022-Oct 2022)
  • NIHR Research Professorship (Dec 2021-Nov 2026)
  • Basser Gray Foundation Award (Dec 2020-Nov 2024)
  • Josef Steiner Award (Jun 2019-May 2023)

Completed Research Support

  • CRUK Early Detection Project Award (Jun 2019-May 2023)
  • CRUK Grand Challenge Award (May 2017-Apr 2024)
  • CRUK Advanced Clinician Scientist Award (Feb 2017-Oct 2022)
  • CRUK Pioneer Award (Oct 2016-Nov 2020)
  • Wellcome Trust Strategic Award (Sept 2013-July 2019)
  • Wellcome-Beit Prize (May 2013-May 2018)
  • Wellcome Intermediate Clinical Research Fellowship (Feb 2013-Jan 2017)

Beyond science, I have shared insights on women in STEM and my journey as a physician-scientist through essays in renowned journals.

📖 Publication Top Noted:

Paper Title: The patterns and dynamics of genomic instability in metastatic pancreatic cancer
  • Authors: Peter J Campbell, Shinichi Yachida, Laura J Mudie, Philip J Stephens, Erin D Pleasance, Lucy A Stebbings, Laura A Morsberger, Calli Latimer, Stuart McLaren, Meng-Lay Lin, David J McBride, Ignacio Varela, Serena A Nik-Zainal, Catherine Leroy, Mingming Jia, Andrew Menzies, Adam P Butler, Jon W Teague, Constance A Griffin, John Burton, Harold Swerdlow, Michael A Quail, Michael R Stratton, Christine Iacobuzio-Donahue, P Andrew Futreal
  • Journal: Nature
  • Year:  2010
  • citations: 1560
Paper Title: Pan-cancer analysis of whole genomes
  • Authors: Dendy Adanta, Imam Syofii, Dewi Puspita Sari, Apri Wiyono
  • Journal: Nature
  • Year:  2020
  •  citations: 1736
Paper Title: Mutational signatures associated with tobacco smoking in human cancer
  • Authors:Ludmil B Alexandrov, Young Seok Ju, Kerstin Haase, Peter Van Loo, Iñigo Martincorena, Serena Nik-Zainal, Yasushi Totoki, Akihiro Fujimoto, Hidewaki Nakagawa, Tatsuhiro Shibata, Peter J Campbell, Paolo Vineis, David H Phillips, Michael R Stratton
  • Journal: Science
  • Year:  2016
  •  citations: 1034
Paper Title: Clock-like mutational processes in human somatic cells
  • Authors: Ludmil B Alexandrov, Philip H Jones, David C Wedge, Julian E Sale, Peter J Campbell, Serena Nik-Zainal, Michael R Stratton
  • Journal: Nature genetics
  • Year:  2015
  •  citations: 990
Paper Title: Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
  • Authors: Niccolo Bolli, Hervé Avet-Loiseau, David C Wedge, Peter Van Loo, Ludmil B Alexandrov, Inigo Martincorena, Kevin J Dawson, Francesco Iorio, Serena Nik-Zainal, Graham R Bignell, Jonathan W Hinton, Yilong Li, Jose MC Tubio, Stuart McLaren, Sarah O’Meara, Adam P Butler, Jon W Teague, Laura Mudie, Elizabeth Anderson, Naim Rashid, Yu-Tzu Tai, Masood A Shammas, Adam S Sperling, Mariateresa Fulciniti, Paul G Richardson, Giovanni Parmigiani, Florence Magrangeas, Stephane Minvielle, Philippe Moreau, Michel Attal, Thierry Facon, P Andrew Futreal, Kenneth C Anderson, Peter J Campbell, Nikhil C Munshi
  • Journal: Nature communications
  • Year: 2014
  •  citations: 963