Neshka Manchorova | Operative Dentistry | Innovative Research Award

Published on by Global CAD Awards

Innovative Research Award

Neshka Manchorova
Medical University , Bulgaria
Neshka Manchorova
Affiliation Medical University
Country Bulgaria
Scopus ID 16309966200
Documents 21
Citations 55
h-index 4
Subject Area Operative Dentistry
Event Global Cad Awards

Neshka Manchorova is a Bulgarian academic and researcher specializing in operative dentistry, endodontics, dental biomaterials, restorative dentistry, and oral healthcare sciences. She is affiliated with the Medical University – Plovdiv, Bulgaria, where she serves in academic leadership and educational development roles. [1]

Abstract

This article presents an academic overview of Prof. Neshka Manchorova and her contributions to operative dentistry and endodontics, including restorative dental materials, dentin morphology, adhesive systems, and clinical restorative techniques.[2]

Keywords

Operative Dentistry, Endodontics, Dental Biomaterials, Restorative Dentistry, Dental Adhesives, CAD/CAM Dentistry.

Introduction

Operative dentistry and endodontics are essential disciplines in modern oral healthcare focusing on restorative treatment methodologies, biomaterial applications, and evidence-based clinical procedures.[3]

Research Profile

Prof. Manchorova has authored multiple indexed publications related to restorative dentistry, biomaterials, dental biomechanics, and clinical treatment evaluation.[4]

Research Contributions

  • Research on restorative dental biomaterials
  • Clinical investigations in adhesive dentistry
  • Studies on CAD/CAM restorative systems
  • Biomechanical analysis of composite restorations

Publications

  • Micro-scratch and Wear Resistance of Restorative Dental Materials
  • Age-Related Alterations in Dentin Micro-Architecture
  • Application of CAD/CAM Systems for Zirconia Restorations

Research Impact

Her research activities contribute to advancements in restorative biomaterials, oral healthcare research, and evidence-based dentistry.

Award Suitability

The researcher demonstrates academic excellence through publications, scientific collaboration, and continued contributions to restorative and preventive dentistry.

Conclusion

Prof. Neshka Manchorova continues to contribute to the advancement of operative dentistry and endodontics through interdisciplinary scientific research and academic leadership. [5]

References

  1. Elsevier. (2026). Scopus Author Details: Neshka Manchorova.
    https://www.scopus.com/authid/detail.uri?authorId=16309966200
  2. ORCID. (2026). ORCID Academic Profile.
    https://orcid.org/0000-0001-7822-2752
  3. A five-year comparative study of perceived stress among dental students at two European faculties.
    https://www.researchgate.net/publication/334005137_A_Five-year_Comparative_Study_of_Perceived_Stress_Among_Dental_Students_at_Two_European_Faculties
  4. Elsevier. (2026). Google Scholer Details: Neshka Manchorova.
    https://scholar.google.com/citations?user=d68fQrQAAAAJ&hl=en&oi=sra
  5. The role of the immune response in chronic marginal and apical periodontitis.
    https://pubmed.ncbi.nlm.nih.gov/32666754/

Jorge Perea Armijo| Medicina | Best Researcher Award

Published on by Global CAD Awards

Dr. Jorge Perea Armijo| Medicina | Best Researcher Award

Cardiology,Reina Sofia University Hospital,Spain

Dr. Jorge Perea Armijo has demonstrated a sustained and focused research trajectory in the field of cardiovascular medicine, with a clear emphasis on heart failure, complex coronary interventions, and electrophysiology. His authorship in numerous peer-reviewed articles between 2023 and 2025 — many of which are multi-center, collaborative, and published in high-impact journals — reflects both his scientific rigor and collaborative acumen. His contributions indicate a strong alignment with clinical translational research, likely impacting patient care directly.

Profile:
Publication : 

conclusion:

Dr. Jorge Perea Armijo is a highly qualified and impactful clinical researcher in cardiology. He possesses a robust track record of peer-reviewed research that is both clinically relevant and scientifically sound. His breadth across subfields of cardiovascular medicine, along with his consistent productivity, make him a strong candidate for a Best Researcher Award, particularly within hospital-based or national cardiology networ

Francisco Ciruela|Bioengineering| Best Researcher Award

Published on by Global CAD Awards

Prof.Francisco Ciruela|Bioengineering| Best Researcher Award

Professor of Pharmacology,University of Barcelona,Spain

 

Professor Francisco Ciruela has built an outstanding research career around the pharmacological modulation of GPCRs, particularly through photopharmacology and bioengineering, with far-reaching implications in pain, neurodegeneration, and dermatological disorders. His publication impact, scientific leadership, and multidisciplinary collaborations reflect excellence, innovation, and relevance in his field.

 

Profile:

Scopus

 

Education and Training:

Prof. Francisco Ciruela received his Bachelor of Science in Biological Sciences from the University of Barcelona in 1990. He continued at the same institution to earn his Ph.D. in Biological Sciences in 1995. His academic foundation laid the groundwork for an accomplished career in pharmacology and neuroscience, particularly in the study of G protein-coupled receptors (GPCRs).

Professional Experience:

Prof. Ciruela has held various prestigious research and academic positions. He was an EMBO Fellow and then a Wellcome Trust Fellow at the University of Oxford between 1997 and 2000. In 2002, he began his academic career as an Assistant Professor at the University of Barcelona, later becoming a “Ramón y Cajal” Researcher from 2003 to 2007. He undertook a short-term fellowship in 2007 at Harvard Medical School and served as a Special Visiting Researcher in Brazil between 2012 and 2015. Since 2013, he has been a Guest Professor at Ghent University, Belgium. He has also served as the Rector’s Delegate for Strategic Research Actions at the University of Barcelona (2017–2020) and is currently the Coordinator of the Neuroscience Program at IDIBELL, Spain.

Skills and Expertise:

Prof. Ciruela is a leading expert in neuropharmacology, molecular pharmacology, and bioengineering, with deep specialization in GPCR biology. His technical expertise includes fluorescence-based biosensors, photopharmacology, and bioengineered tools for studying neurotransmission, pain, and neurological disorders. He also has extensive experience in coordinating interdisciplinary teams, clinical trials, and translational research.

Research Focus:

The core of Prof. Ciruela’s research lies in understanding GPCRs to develop novel pharmacological strategies for treating neurological, neuropsychiatric, and pain-related disorders. His work integrates advanced bioengineering techniques with pharmacology to create targeted and photo-controllable therapies. His lab also focuses on developing innovative technologies such as light-sensitive ligands and biosensors, bridging basic neuroscience with clinical applications.

Awards and Honors: 

Prof. Ciruela’s work has been widely recognized. He received the Pharmacology Award from the Spanish Society of Pharmacology and Almirall Laboratories in 2008. In 2010, he was honored with the “ICREA Acadèmia” award from the Catalan Institution for Research and Advanced Studies. In 2017, he received the prestigious Grünenthal Foundation Award for his contributions to pain research.

Publications:

1. Temporomandibular disorders and mental health: shared etiologies and treatment approaches

Authors: Wan, Jiamin; Lin, Jiu; Zha, Tingfeng; Chen, Qianming; Chen, Xiaoyan

Year: [Not specified]

Citations: 0

Type: Article • Open access

2. Striatal dopamine D2, adenosine A2A and cannabinoid CB1 receptors balance as a target against non-cognitive symptoms in a mouse model of Alzheimer’s disease

Authors: Gómez-Acero, Laura; Sánchez-Fernández, Nuria; Subirana, Paula; Ciruela, Francisco; Aso, Ester

Journal: Pharmacology, Biochemistry and Behavior

Year: 2025

Citations: 0

Type: Article • Open access

3. Nanoarchitecture of CaV2.1 channels and GABAB receptors in the mouse hippocampus: Impact of APP/PS1 pathology

Authors: Martín-Belmonte, Alejandro; Aguado, Carolina; Alfaro-Ruíz, Rocío; Ciruela, Francisco; Luján, Rafael

Journal: Brain Pathology

Year: 2025

Citations: 1

Type: Article • Open access

4. Author Correction: Systematic protein-protein interaction mapping for clinically relevant human GPCRs

Authors: Sokolina, Kate; Kittanakom, Saranya; Snider, Jamie D.; Jurisica, Igor; Stagljar, Igor

Journal: Molecular Systems Biology (Correction for 2017 article)

Year: [Correction date not specified]

Citations: 0

Type: Erratum • Open access

5. Lessons from the physiological role of guanosine in neurodegeneration and cancer: Toward a multimodal mechanism of action?

Authors: Tasca, Carla Inês Inês; Zuccarini, Mariachiara; Di Iorio, Patrizia; Ciruela, Francisco

Year: [Not specified]

Citations: 1

Type: Review

6. The dopaminergic effects of esketamine are mediated by a dual mechanism involving glutamate and opioid receptors

Authors: Rizzo, Arianna; Garçon-Poca, Maria Zelai; Essmann, Amelie; Ciruela, Francisco; Bonaventura, Jordi

Journal: Molecular Psychiatry

Year: 2025

Citations: 0

Type: Article • Open access

 

Conclusion:

Prof. Ciruela exemplifies the qualities of a best-in-class researcher: scientific excellence, innovation, interdisciplinary impact, and translational relevance. His record aligns perfectly with the aims of a prestigious research recognition award and would reflect well on any institution granting it.

Ali Reza Keivanimehr | AI in healthcare | Best Researcher Award

Published on by Global CAD Awards

Mr.Ali Reza Keivanimehr | AI in healthcare
| Best Researcher Award

Mr.  Ali RezaKeivanimehr ,  Amirkabir University of Technology (Tehran’s Polytechnic), Iran.

Ali Reza Keivanimehr is an exceptional early-career researcher with a solid academic foundation, a promising research trajectory in machine learning applications for healthcare, and strong technical expertise. His combination of research, teaching, and technical projects highlights a well-rounded profile. His contributions, especially in the use of TinyML for cardiovascular diagnosis, are commendable and align with global health priorities.

Publication Profile

Google scholar

Education :

Master of Science in Information Technology Engineering – Internet of Things (IoT) (2022 – 2025)Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranRanked 403rd in QS World University Rankings 2024GPA: 3.53/4 (17.48/20) – 3rd highest in 2022 faculty entranceThesis: Applications of TinyML in Prediction and Diagnosis of Cardiovascular DiseasesSupervisor: Dr. Mohammad Akbari | Advisor: Dr. Abbas AhmadiBachelor of Science in Computer Engineering – Software Engineering (2018 – 2021)Imam Khomeini International University of Qazvin, Qazvin, IranProject: Designing a Software Interface for Industrial Machinery Maintenance

Experience :

Research Assistant (2022 – Present)
Data Science Lab (DSLab), Amirkabir University of Technology, Tehran, IranConducting research on TinyML and edge intelligence applications in cardiovascular disease prediction.Teaching Assistant — Machine Learning and Pattern Recognition (2024 – 2025)Amirkabir University of Technology, Tehran, IranAssisted in course instruction, project supervision, and student evaluations under Dr. Alireza Rezvanian.Teaching Assistant — Data Structure and Algorithms (2019 – 2020)
Imam Khomeini International University of Qazvin, Qazvin, IranSupported coursework delivery, assignments, and exam preparations under Morteza Mohammadi Zanjireh.

Research Focus :

Natural Language Processing (NLP)Graph Neural NetworksEdge IntelligenceExplainable Artificial Intelligence (XAI)Generative Adversarial Networks (GANs)Dr. Keivanimehr’s research centers on Tiny Machine Learning (TinyML) and edge intelligence, with a specific emphasis on their applications in cardiovascular disease monitoring. He explores the deployment of machine learning models on low-power, resource-limited devices to facilitate real-time analytics and pervasive monitoring for patients with cardiac anomalies.

Skills and Expertise:

As a research assistant, Dr. Keivanimehr has developed expertise in machine learning, classification, and supervised learning. His technical proficiency includes a focus on computational health and biomedical applications, particularly in the context of resource-constrained devices.Programming: PythonMachine Learning Frameworks: PyTorch, TensorFlowBig Data Tools: Apache SparkLanguages: TOEFL iBT (Score: 109 | Reading: 28 | Listening: 30 | Speaking: 26 | Writing: 25)

Awards:

 

48th Rank among 5000+ participants, National Entrance Exam for Master Studies in IT Engineering (2022)3rd Rank in IT Engineering Master’s cohort based on GPA (2022 – Present)Full Master’s Scholarship: Awarded for excellence in national entrance exams; covers tuition, dormitory, and partial food expenses (2022 – Present)Full Bachelor’s Scholarship: Granted for top performance in national entrance exams; included tuition, accommodation, and meal support (2018 – 2021)

 

Publication 

 

  • Keivanimehr, A., & Akbari, M. (2024). TinyML and Edge Intelligence Applications in Cardiovascular Disease: A Survey. Computers in Biology and Medicine. DOI: 10.1016/j.compbiomed.2025.109653

 

Conclusion

Ali Reza Keivanimehr is a suitable candidate for the Best Researcher Award. His strong academic record, impactful research, and consistent growth in machine learning and edge intelligence demonstrate his potential as a leading researcher in his field. With further international exposure and expanded publication efforts, he is poised to make significant contributions to both academia and industry.

 

Haruto Nishida | Medicine| Best Researcher Award

Published on by Global CAD Awards

Assoc. Prof. Dr.Haruto Nishida| Medicine |Best Researcher Award

Assoc. Prof. Dr. Haruto Nishida  Faculty of MedicineOita University,Japan.

Dr. Haruto Nishida is an Associate Professor in the Department of Diagnostic Pathology at the Faculty of Medicine, Oita University, Japan. He earned his medical degree from Oita University School of Medicine and subsequently obtained a Ph.D. in Diagnostic Pathology from Oita University Graduate School of Medicine.Dr. Nishida began his academic career at Oita University as an Assistant Professor in 2012 and was promoted to Lecturer in 2019.As a general pathologist, he specializes in diagnosing a wide range of organs, including the skin, stomach, lungs, uterine cervix, and brain. He has a particular interest in dermatopathology and regularly presents his research at international conferences such as the American Society of Dermatopathology (ASDP) and the United States and Canadian Academy of Pathology (USCAP)

Publication Profile

Orcid

Scopus

Education :

Dr. Haruto Nishida obtained his Medical Degree from the Faculty of Medicine, Oita University, Japan, in 2009. He later pursued a Doctor of Philosophy (PhD) at the Graduate School of Medicine, Oita University, completing his doctoral studies in 2015.

Experience :

Dr. Nishida has an extensive background in diagnostic pathology and has held various academic and clinical positions:Resident in General Medicine, Oita Medical Hospital, Yufu, Japan (2009–2011)Fellow in Diagnostic Pathology, Oita University, Japan (2011–2012)Assistant Professor, Department of Diagnostic Pathology, Oita University (2012–2019)Lecturer, Department of Diagnostic Pathology, Oita University (2019–2020)Associate Professor, Department of Diagnostic Pathology, Oita University (2020–Present)Clinical Fellow, various international institutions including Centre Léon Bérard, France; St John’s Institute of Dermatology, UK; Universitätsklinikum Münster, Germany; and Medical University of South Carolina, USA (2024–Present)

Research Focus :

Dr. Nishida’s research interests include:Dermatopathology and Molecular PathologySoft Tissue and Bone TumorsCytopathology and Autopsy PathologyMolecular Mechanisms in Skin and Gynecologic PathologiesDiagnostic and Digital Pathology InnovationsHis research has contributed significantly to understanding various pathological conditions, including rare tumors and molecular alterations in dermatological diseases.

 

Awards:

Dr. Nishida has been recognized for his contributions to pathology, including:Outstanding Researcher Award by the Japanese Society of PathologyBest Paper Award for his contributions to dermatopathology researchAcademic Excellence Award from Oita UniversityYoung Investigator Award in Molecular Pathology

Publication :

A multicenter study on TROP2 as a potential targeted therapy for extramammary Paget disease in Japan

The relationship between tumor immunity and the cGAS–STING pathway in breast cancer: An immunohistochemical study

 Conclusion

Dr. Nishida is highly suitable for the award, particularly in the field of diagnostic pathology and molecular pathology. If the award criteria prioritize international recognition, impact factor, and leadership, he stands as a strong contender but could further improve his research influence globally

 

Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

Published on by Global CAD Awards

Prof Dr. Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

Prof Dr. Venkata Lakshmi,VIT-AP University, Andhra Pradesh,India

Prof. Dr. Venkata Lakshmi is a distinguished academician and researcher at VIT-AP University in Andhra Pradesh, India. With a strong background in her field, she has made significant contributions to research and education, mentoring students and collaborating on innovative projects. Her work is recognized both nationally and internationally, making her a prominent figure in her academic community.

Summary:

Prof. Dr. Venkata Lakshmi is a highly qualified candidate with a robust academic background, significant teaching experience, and a strong record of mentoring PhD students. Her dual PhDs in CSE and Mathematics, coupled with over 25 years of academic service, make her a strong contender for the Best Researcher Award. She has demonstrated a commitment to both teaching and research, with recognized achievements in both areas.

Professional Profiles:

Orcid

🎓 Education :

With an impressive academic background, the candidate holds two PhDs—one in Computer Science and Engineering (CSE) from Vellore Institute of Technology University, Chennai Campus (2023), and another in Mathematics from Central University of Hyderabad (2008). Additionally, they completed an MTech in CSE from Acharya Nagarjuna University, Guntur (2010), and an M.Phil. in Mathematics from Central University of Hyderabad (1994-1995). Their educational journey began with a B.Sc. in Mathematics, Physics, and Chemistry (M.P.C) from Acharya Nagarjuna University (1988-1991), followed by an M.Sc. in Mathematics, where they secured the University Second Rank (1991-1993).

🏢Teaching Experience:

The candidate has accumulated over two decades of teaching experience in various academic roles. They began their teaching career as a Lecturer in the Department of Mathematics at Bapatla College for Women (1993-1994) and Bapatla College of Arts and Sciences (1995-1996). They then served at Bapatla Engineering College, first as a Lecturer (1996-2008) and later as an Associate Professor (2008-2009). From 2009 to 2019, they held the position of Vice-Principal at Bapatla Women’s Engineering College, while on deputation from Bapatla Engineering College. The candidate returned to Bapatla Engineering College as an Associate Professor (2019-2021) before transitioning to their current role as a Professor at the School of Computer Science and Engineering, VIT AP University, Andhra Pradesh, since June 2021.

🛠️Skills:

The candidate possesses a diverse skill set, including expertise in Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their research and teaching proficiency span both Mathematics and Computer Science, with a strong foundation in both theoretical and applied aspects of these fields.

🔬Awards and Achievements:

Throughout their career, the candidate has been recognized for their academic excellence and contributions to research. Notably, they received the Research Award for Publications in Engineering & Advanced Sciences in the academic year 2023-24. Their achievements also include a Silver Medal for outstanding performance in Mathematics during their B.Sc., the Mathematical Sciences Trust Society Prize for securing the top position in M.Sc. (Pure Mathematics) at the University of Hyderabad in 1992, and a Silver Medal for securing the third rank in the Mathematical Olympiad at the postgraduate level, sponsored by the Andhra Pradesh Association of Mathematics Teachers in 1992.

Research Focus:

The candidate’s research focus spans across multiple areas, including Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their PhD dissertations reflect their deep engagement with these subjects, with their Mathematics dissertation titled “On Vector Valued Amalgam Spaces” and their CSE dissertation titled “Self-replicability of Graphs through Graph Reproduction System.”

Conclusion:

Prof. Dr. Venkata Lakshmi is well-suited for the Best Researcher Award, particularly given her multidisciplinary expertise and extensive teaching and mentorship experience. However, enhancing her publication record with more detailed metrics, expanding interdisciplinary research efforts, and increasing international exposure could further solidify her standing as an outstanding researcher. With these improvements, she would not only be a deserving recipient but also a model researcher with global impact.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Xiao Jiang | Medical | Best Researcher Award

Published on by Global CAD Awards

 Dr.Xiao Jiang | Medical | Best Researcher Award

 Dr. Xiao Jiang, Liaocheng University,China

Dr. Xiao Jiang is a distinguished academic at Liaocheng University, China, where he specializes in With a robustDr. Jiang has made significant contributions to [mention notable research, publications, or projects]. His work is recognized for advancing understanding in His research continues to influence

Summary:

Dr. Xiao Jiang is a promising candidate for the Best Researcher Award, with a strong academic background and an impressive portfolio of research achievements. His work in developing innovative methods for brain network analysis and cognitive impairment identification stands out for its technical sophistication and contribution to the field. His leadership in securing and managing significant research projects further demonstrates his capabilities as a researcher.

Professional Profiles:

Scopus

🎓 Education :

Xiao Jiang earned his Ph.D. in Computer Science and Mathematics from the University of Camerino, Italy (October 2020 – June 2024). Prior to that, he completed his Master’s in System Science at Liaocheng University (September 2016 – June 2019) and his Bachelor’s in Mathematics and Applied Mathematics at the same institution (September 2012 – June 2016).

🏢Research Projects:

Brain Function Data Visualization and Classification Learning: Funded by the National Natural Science Foundation of China (Project Approval Number: 62176112, January 2022 – December 2025).,High-Order Regularization Framework for Functional Brain Image Learning and Its Application Research: Funded by the National Natural Science Foundation of China (Project Approval Number: 61976110, January 2020 – December 2023).

🛠️Research Achievements:

Jiang, X., Zhang, L., Qiao, L., Shen, D. (2020). “Estimating Functional Connectivity Networks via Low-rank Tensor Approximation with Applications to MCI Identification.” IEEE Transactions on Biomedical Engineering, 67(7), 1912-1920.,Jiang, X., Qiao, L., De Leone, R., Shen, D. (2022). “Joint Selection of Brain Network Nodes and Edges for MCI Identification.” Computer Methods and Programs in Biomedicine, 225, 107082.,Jiang, X., Wang, G., Zhang, L., Xi, X., De Leone, R., Qiao, L. (2024). “Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment.” Biomedical Signal Processing and Control, 98, 106766.,Jiang, X., Zhou, Y., Zhang, Y., Zhang, L., Qiao, L., De Leone, R. (2022). “Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification.” Frontiers in Neuroscience, 16, 872848.

🔬 Research Focus:

Xiao Jiang’s research interests lie at the intersection of Medical Image Analysis, Graph Data Mining, and Machine Learning Applications. His work predominantly explores innovative approaches to functional connectivity networks, brain network analysis, and cognitive impairment identification. Notable projects include estimating functional brain networks for MCI identification and developing label-guided low-rank approximations for brain network learning.

Conclusion:

Given Dr. Jiang’s outstanding research achievements, his technical expertise, and his contribution to advancing the understanding of brain functionality and cognitive disorders, he is a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, expanding the interdisciplinary and practical applications of his research would enhance his impact in both the academic and clinical communities.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Shahina Akter| Bioinformatics Award | Women Researcher Award

Published on by Global CAD Awards

Dr.Shahina Akter|Bioinformatics Award | Women Researcher Award

Dr.Shahina Akter ,Bangladesh Council of Scientific and Industrial Research,Bangladesh

Dr. Shahina Akter is a prominent figure in the scientific community of Bangladesh, affiliated with the Bangladesh Council of Scientific and Industrial Research (BCSIR). With a profound commitment to advancing scientific research and development, Dr. Akter has contributed significantly to various fields, particularly in the realms of industrial innovation and technology. Her expertise spans across multiple domains, including materials science, biotechnology, and environmental sustainability.

Professional Profiles:

Scopus

Orcid

Education:

  • Ph.D. in Microbiology & Immunology

    Microbiology Department, Dhaka University, 2018,Result Award Achieved: 31 October 2018

  • M.S. in Biotechnology

    Botany Department, Dhaka University, 2001 (held in 2005),Grade: A

  • B.Sc. in Biotechnology

    Botany Department, Dhaka University, 2000 (held in 2003),Grade: A

  • H.S.C. (Science)

    Govt. Begum Badrunnesa Mohila College, 1995,Percentage: 76.10%

  • S.S.C. (Science)

    Dhanmondi Government Girl’s High School, 1993,Percentage: 76.90%

 

Professional Experience:

Bangladesh Council of Scientific and Industrial Research (BCSIR)

Duration: 11 June 2006 to present,Current Position: Principal Scientific Officer from 2019 to present,Senior Scientific Officer at BCSIR from 2011 to 2019,Scientific Officer at BCSIR from 2006 to 20011,More than 17 years of working experience on Molecular Biology,Specialization in Microbiology and Immunology, Molecular Cytogenetics, Plant Tissue Culture, Animal Harvesting and Cell Culture Techniques, Biotechnology, and Bioinformatics.

Job Responsibilities:

Experiment design, execution, and analysis,Liaising and coordinating with the research team for R&D,Writing and editing scientific manuscripts, reports, presentations,Applying for grants, monitoring, evaluation, and report submission,Supervising and providing technical advice to junior lab members and thesis students,Problem recognition, analysis, and solution.

Awards and Recognition:

  • RTFDCS Fellowship from CCSTDS, Chennai, India
  • Bangabandhu Fellowship on Science and Technology

Publications:

  1. Nahian, M., Shahab, M., Mazumder, L. S Akter et al. In silico design of an epitope-based vaccine against PspC in Streptococcus pneumoniae using reverse vaccinology. J Genet Eng Biotechnol 21, 166 (2023). Link
  2. Azam S, Sayem M, Khan S, Martini C, Sarkar MH, Akter S, Goswami B, Sinha SQ, Husain Z. SARS-CoV-2 testing and its role in understanding the evolving landscape of the pandemic in Bangladesh. J Biosci. 2023;48:55. PMID: 38088377.
  3. Sanchita Saha, G M Al Amin, Md Salim Khan, Barna Goswami, Farhana Afroz, Md Ahashan Habib, Akter S, Tanjina Akhtar Banu. “Assessment of antibacterial activity and cytotoxic effects of in vitro and in vivo plant parts of a medicinal plant Gynura procumbens (Lour.) Merr.” Heliyon (SCIE and Scopus Indexed Q1 Journal, IF: 4.), DOI: http://dx.doi.org/10.1016/j.heliyon.2023.e22954
  4. da Silva, M.K.; Campos, D.M.d.O.; Akash, S.; Akter, S.; Yee, L.C.; Fulco, U.L.; Oliveira, J.I.N. Advances of Reverse Vaccinology for mRNA Vaccine Design against SARS-CoV-2: A Review of Methods and Tools. Viruses 2023, 15, 2130. Link
  5. Goswami B, Sarkar MH, Akter S, Banu TA, et al. Emergence of SARS-CoV-2 variant of interest B.1.525 (Eta) in Bangladesh. Biologicals 84 (2023). Link
  6. Sarkar MH, Naser SR, Chowdhury SF, Khan S, Habib A, Akter S, Banu TA et al. M gene targeted qRT‑PCR approach for SARS‑CoV‑2 virus detection. Scientific Reports, (2023) 13:16659, Link
  7. Akter, S*, Oliveira, JI, Barton, C, Sarkar, MH, Shahab, M, Banu, TA, Goswami, B, Osman, E, Uzzaman, MS, Nafisa, T, Molla, MA, Yeasmin, M, Farzana, M, Habib, A, Shaikh, AA, & Khan, S. (2023). Spike protein mutations and structural insights of pangolin lineage B.1.1.25 with implications for viral pathogenicity and ACE2 binding affinity. Scientific Reports, 13(1), 1-19. Link
  8. Shahab M, Akter S*, Sarkar MH, Banu TA, Goswami B, Chowdhury SF, Naser SR, Habib A, Shaikh AA, Saki M, Zheng G, & Khan S. (2023). Computational design of medicinal compounds to inhibit RBD-hACE2 interaction in Omicron variant: Unveiling a vulnerable target site. Informatics in Medicine Unlocked, 40 (2023) 101281. Link
  9. Sarkar MH, Rahman S, Islam R, Rahman A, Islam S, Banu TA, Akter S, Goswami B, Khan S, et al. Comparative Phylogenetic Analysis and Transcriptomic Profiling of Dengue (DENV3 genotype I) Outbreak in 2021 in Bangladesh. Virology Journal (2023) 20:127. doi.org/10.1186/s12985-023-02030-1
  10. Mazumder L, Shahab M, Islam S, Begum M, Nobre J I O, Begum S, and Akter S. An immunoinformatics approach to epitope‑based vaccine design against PspA in Streptococcus pneumoniae. Journal of Genetic Engineering and Biotechnology (2023) 21:57. Link
  11. Banu TA, Akter S, Akter S, Goswami B, Mollaka SR, Momtaz N, Habib A, Amin G, Khan S. Effects of light intensity on in vitro regeneration of Stevia rebaudiana Bertoni, Bacopa Monnieri L. and Solanum tuberosum. Bangladesh J. Bot. 52(1): 53-60, 2023 (March). DOI: https://doi.org/10.3329/bjb.v52i1.65232
  12. Mahmud, A.S.M., Seers, C.A., Shaikh, Md. Ahashan Habib, Akter S et al. A multicenter study reveals dysbiosis in the microbial co-infection and antimicrobial resistance gene profile in the nasopharynx of COVID-19 patients. Sci Rep 13, 4122 (2023). Link
  13. Etminani F, Etminani A, X Hasson SO, Kareem Judi H, Akter S, Saki M. (2023). In silico study of inhibition effects of phytocompounds from four medicinal plants against the Staphylococcus aureus β-lactamase. Informatics in Medicine Unlocked. 37, 2023, 101186. Link
  14. Hoque MN, Rahman MS, Sarkar M.MH, Habib MA, Akter S, Banu TA, et al. (2023). Transcriptome analysis reveals increased abundance and diversity of opportunistic fungal pathogens in nasopharyngeal tract of COVID-19 patients. PLoS ONE 18(1): e0278134. [Link](https://doi. org/10.1371/journal.pone.0278134)
  15. Farooq U; Akter S; Qureshi AQ; Hayaa M. A; Farzana M; Shahab M et al. Arbutin Stabilized Silver Nanoparticles: Synthesis, Characterization, and Its Catalytic Activity against Different Organic Dyes. Catalysts 2022, Volume 12, Issue 12, 1602