Md. Moin Uddin | Computational Biology | Best Researcher Award

Mr. Md. Moin Uddin | Computational Biology | Best Researcher Award 

Mr. Md. Moin Uddin, Bangladesh Agricultural University, Bangladesh

Md. Moin Uddin is a passionate biotechnologist from Bangladesh, specializing in genetic diversity and molecular biology. With a robust academic background and hands-on experience, Moin combines expertise in biotechnology with practical research skills. His journey spans notable institutions such as Bangladesh Agricultural University and Noakhali Science and Technology University, where he has conducted significant research on genetic markers and protein modeling. Moin’s work reflects his commitment to advancing scientific knowledge and addressing real-world challenges through innovative research methodologies.

profile

Google Scholar

Strengths for the Award 

  1. Diverse Research Experience: Md. Moin Uddin has accumulated extensive research experience across multiple institutions. His work spans various aspects of biotechnology and bioinformatics, demonstrating versatility and a broad skill set.
  2. Specialized Knowledge: His research in DNA fingerprinting, genetic diversity, and drug design showcases a deep understanding of molecular biology and bioinformatics. His focus on practical applications, such as drug design and disease modeling, highlights his ability to tackle complex biological questions.
  3. Academic Achievements: Achieving a high CGPA in both his MSc and BSc programs underscores his academic excellence and commitment to his field. His thesis and projects reflect significant contributions to understanding genetic diversity and protein modeling.
  4. Notable Award: The Division Champion title in the National Children and Seasonal Award Competition is a testament to his early promise and dedication, highlighting his potential from a young age.

Areas for Improvement

  1. Publication Record: To strengthen his profile further, Moin could benefit from a more extensive list of peer-reviewed publications. Expanding his research output and contributing to high-impact journals would enhance his visibility and credibility in the scientific community.
  2. Broader Research Impact: While his research is specialized and impactful, showcasing broader applications or interdisciplinary approaches could further enhance his candidacy. Engaging in collaborative projects or research with wider implications might be beneficial.
  3. Awards and Recognition: While the Division Champion award is significant, additional awards or recognitions at national or international levels could further bolster his profile. Seeking opportunities to present at conferences or compete in research competitions might provide

Education 📚

Md. Moin Uddin is currently pursuing an MSc in Biotechnology at Bangladesh Agricultural University (2022-2024), achieving a CGPA of 3.60/4. His thesis focuses on the DNA fingerprinting and genetic diversity of Litchi (Litchi chinensis) using microsatellite DNA markers. Prior to this, he completed his BSc in Biotechnology and Genetic Engineering from Noakhali Science and Technology University (2017-2022) with a CGPA of 3.22/4. His undergraduate project involved modeling and validating the 3D structure of TrkA protein in Staphylococcus aureus.

Experience 🧪

Md. Moin Uddin has accumulated valuable research experience through various roles. As a Research Fellow at Bangladesh Agricultural University (Jan 2023-June 2024), he focused on DNA fingerprinting and genetic diversity studies of Litchi, handling tasks such as sampling, DNA extraction, and molecular data analysis. Concurrently, he worked as a Research Assistant at the Center for Advanced Bioinformatics and Artificial Intelligence Research lab, where he engaged in drug design and genetic modeling. Additionally, he contributed to research on consanguineous marriage at Shahjalal University of Science and Technology in 2018.

Awards and Honors 🏆

In 2013, Md. Moin Uddin was honored as the Division Champion in the National Children and Seasonal Award Competition. This recognition highlights his early achievement and dedication, reflecting his potential and commitment to excellence from a young age.

Research Focus 🔬

Md. Moin Uddin’s research focuses on genetic diversity, molecular biology, and bioinformatics. His MSc thesis explores the genetic diversity of Litchi using microsatellite DNA markers, while his previous work involved modeling protein structures and drug design. He is particularly interested in understanding genetic variations and their implications for disease mechanisms and potential therapeutic interventions.

publications

“Unraveling the Potential Effects of Non-synonymous Single Nucleotide Polymorphisms (nsSNPs) on the Protein Structure and Function of the Human SLC30A8 Gene on Type 2 Diabetes”

Conclusion 

Md. Moin Uddin is a strong candidate for the Researcher of the Year Award due to his solid research background, academic excellence, and early promise in the field of biotechnology and bioinformatics. His diverse research experiences and significant contributions to genetic diversity and drug design are commendable. To enhance his candidacy, focusing on increasing his publication record, broadening the impact of his research, and seeking additional accolades could be beneficial. Overall, Moin’s dedication, expertise, and achievements make him a noteworthy contender for the award.

Sulaiman Faisal | Computational Biology | Best Researcher Award

Mr. Sulaiman Faisal | Computational Biology | Best Researcher Award 

Senior Lecturer | Institute of Integrative Biosciences, CECOS University | Pakistan

Dr. Sulaiman Faisal is a distinguished researcher and lecturer at CECOS University in Peshawar, Pakistan. His research spans environmental biotechnology, nanotechnology, and molecular biology. Faisal has a strong track record of addressing critical issues related to pesticide toxicity, nanoparticle genotoxicity, and microbial resistance. His work has been recognized nationally, with several awards for innovative research projects. Faisal’s international experience, including research roles at Imperial College London and the University of Heidelberg, underscores his global perspective and expertise in his field.

Profile

ORCID

Strengths for the Award:

  1. Extensive Research Experience:
    • Faisal has a diverse background in research, including positions at prestigious institutions like Imperial College London and the University of Heidelberg. His work spans multiple fields, from developmental neurobiology to environmental biotechnology.
  2. High-Impact Research Projects:
    • His involvement in high-impact projects, such as toxicity assessments of pesticides and nanoparticles, demonstrates his ability to address significant environmental and health issues. Notably, several of his projects have won national technology funds (e.g., IGNITE (NGIRI) National Technology Fund Winners in 2020, 2021, and 2023).
  3. Strong Publication Record:
    • Faisal has a robust publication record with numerous papers in reputable journals. His research on various topics, including gene expression, bacterial resistance, and nanotechnology, highlights his broad expertise and contributions to scientific knowledge.
  4. Academic Achievements:
    • His academic performance is commendable, with a first-rank M.Phil degree and significant research contributions during his studentships in Germany and the UK.
  5. Diverse Research Interests:
    • His research interests are broad, covering environmental biotechnology, nanotechnology, and molecular characterization. This diversity indicates a versatile researcher capable of addressing a range of scientific questions.

Areas for Improvement:

  1. Increased Focus on High-Impact Publications:
    • While Faisal has numerous publications, focusing on publishing in higher-impact journals could further elevate his research profile. A few more high-impact papers in top-tier journals could enhance his recognition.
  2. Interdisciplinary Collaborations:
    • While Faisal has experience across various research fields, fostering more interdisciplinary collaborations could broaden the scope and impact of his research. Collaborating with experts from different disciplines might lead to innovative solutions and breakthroughs.
  3. Enhanced Public Engagement:
    • Increasing efforts in public engagement and outreach could help bridge the gap between scientific research and societal impact. Engaging in science communication, public talks, or media outreach could enhance the visibility of his work.
  4. Leadership and Mentoring:
    • Gaining experience in leadership roles and mentoring younger researchers or students could strengthen his profile as a leading researcher. Providing guidance and support to the next generation of scientists could be a valuable addition to his career.

Education

Dr. Faisal completed his M.Phil. in Biotechnology at IBGE NWFP Agricultural University, Peshawar, Pakistan, with a remarkable Grade Point Average of 3.74/4.00, graduating first in his class. He pursued further research as a DAAD Scholar, earning significant experience and knowledge during his time at the European Media Laboratory and the University of Heidelberg in Germany.

Experience

Dr. Faisal has been a Lecturer and Research Associate at CECOS University since 2016. His previous roles include research positions at Imperial College London and the University of Heidelberg. He has also taught at COMSATS Institute of Information Technology, Islamabad. His career is marked by a commitment to advancing scientific research and education across various prestigious institutions.

Research Interests

Dr. Faisal’s research interests include the environmental impact of nanoparticles, the genotoxicity of chemical pollutants, and microbial resistance. His projects often focus on the toxicity of pesticides, the molecular characterization of fungi, and the ecological impacts of nanoparticles. His work aims to address pressing environmental and health issues through innovative scientific approaches.

Awards

Dr. Faisal’s research has garnered several accolades, including multiple IGNITE (NGIRI) National Technology Fund awards in 2020, 2021, and 2023. These awards recognize his contributions to research on the eco-toxicology and genotoxicity of nanoparticles and the biodegradation of harmful pesticides.

Publications

Saqib Rauf, Sami Ullah, Muhammad Adil Abid, Asad Ullah, Gullzar Khan, Ainee Urooj Khan, Gulzar Ahmad, Muhammad Ijaz, Sidra Ahmad, & Sulaiman Faisal, (2024). A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data, Volume 10, 2024 – Issue 1.

M Ijaz, G Ahmad, F Anjum, and S Faisal, (2023). Morphological Identification and Resistance Profile of Antibiotic and Heavy Metals-Resistant Bacteria in Hospital Sewage of Peshawar, Advancements in Life Sciences, Vol 10, No 3 (2023) 452-456.

Tariq H, Sidra U, Azaz UK, Abrar H, Abdul A, Muhammad I, Gulzar A, Shumaila U, Faraz AK, Muhammad AM, Sulaiman F, (2022) Isolation and Characterization of Salt Tolerant Bacteria from Saline Areas of Khyber Pakhtunkhwa. Clin Med Res. 2022;4(4):1-8.

Ameer MK, Laiba P, Jonathan C, Mutiullah K, Maqdad U, ZiaUllah S, Muhammad MK, Muhammad N, Sulaiman F, Akhtar N, (2022) Photokilling of waterborne-resistant pathogenic bacteria using cobalt-doped zinc oxide doped on reduced graphene oxide nanoparticles. Journal of Innovative Optical Health Sciences Vol. 15, No. 04, 2240003 (2022).

Maryam Z, Sulaiman F, Dilawar FS, Farida A, Mehk S, ZiaUllah S, Akhtar N, (2021). Degradation of Polyethylene Plastic by Non-Embedded Visible-Light Iron-Doped Zinc Oxide Nanophotocatalyst. Applied Science and Convergence Technology 2021; 30(3): 87-91.

S Naz, N Uddin, K Ullah, A Haider, A Gul, S Faisal, A Nadhman, M Bibi, (2020). Homo-and heteroleptic Zinc (II) carboxylates: Synthesis, structural characterization, and assessment of their biological significance in in vitro models. Inorganica Chimica Acta 511, 119849.

S Naz, M Sirajuddin, I Hussain, A Haider, A Nadhman, A Gul, S Faisal. (2020). 2-Phenylbutyric acid based organotin (IV) carboxylates; synthesis, spectroscopic characterization, antibacterial action against plant pathogens and in vitro hemolysis, Journal of Molecular Structure 1203, 127378.

M Nadeem, R Khan, K Afridi, A Nadhman, S Ullah, S Faisal, ZU Mabood, (2020). Green Synthesis of Cerium Oxide Nanoparticles (CeO2 NPs) and Their Antimicrobial Applications: A Review, International Journal of Nanomedicine 15, 5951.

S Khan, S Faisal, DF Shams, M Zia, A Nadhman. (2019). Photo-inactivation of bacteria in hospital effluent via thiolated iron-doped nanoceria, IET nanobiotechnology 13 (8), 875-879.

G Iqbal, S Faisal, S Khan, DF Shams, A Nadhman. (2019). Photo-inactivation and efflux pump inhibition of methicillin resistant Staphylococcus aureus using thiolated cobalt doped ZnO nanoparticles, Journal of Photochemistry and Photobiology B: Biology 192, 141-146.

Conclusion:

Sulaiman Faisal is a highly accomplished researcher with a strong record of significant contributions across various scientific fields. His extensive research experience, high-impact projects, and impressive publication record make him a strong candidate for the Best Researcher Award. Addressing the areas for improvement, such as focusing on high-impact publications, fostering interdisciplinary collaborations, and enhancing public engagement, could further solidify his position as an outstanding researcher. Overall, his qualifications and achievements strongly support his candidacy for the award.

Gustavo Carnivali | Bioinformatic | Best Researcher Award

Dr. Gustavo Carnivali | Bioinformatic | Best Researcher Award

Researcher at UFMG, Brazil

Gustavo Simões Carnivali is a dedicated researcher specializing in bioinformatics, computer graphics, and computational mathematics. His work focuses on gene networks, drug repurposing for COVID-19, and data visualization techniques. With a background in computer science and multiple master’s degrees, Gustavo is currently pursuing a Ph.D. in Bioinformatics while actively contributing to research at EMBRAPA and other institutions. He has a strong publication record and has presented his work at prestigious conferences. Gustavo’s interdisciplinary expertise and innovative research contributions highlight his commitment to advancing computational sciences and bioinformatics.

Professional Profiles

Education

Gustavo Simões Carnivali has pursued a diverse and rigorous academic path, reflecting his commitment to multidisciplinary studies. He is currently undertaking a Ph.D. in Education at Integraliza in Brazil under the guidance of Luiz Carlos Santos, alongside his ongoing Ph.D. studies in Bioinformatics at the Federal University of Minas Gerais (UFMG), supervised by Tiago Antonio de Oliveira Mendes and supported by a grant from Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG). Prior to his doctoral pursuits, Gustavo earned a Master’s degree in Computer Science at the Federal University of Juiz de Fora (UFJF), where he worked under Marcelo Bernardes Vieira’s mentorship. He also holds a Master’s degree in Education Sciences from Universidad Martin Lutero in the United States, completed in 2022 with guidance from Samuel de Oliveira Nicolau. Additionally, Gustavo achieved a Master’s degree in Computational Modeling at the National Scientific Computing Laboratory (LNCC) in Brazil, supported by a grant from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and supervised by Artur Ziviani. His academic journey exemplifies his dedication to advancing knowledge across computer science, education, and bioinformatics fields.

Professional Experience

Gustavo Simões Carnivali has accumulated valuable professional experience across prestigious institutions and research environments. Currently, he serves as a researcher at the Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), contributing to cutting-edge projects in his field. Previously, he held positions at the Universidade Federal de Minas Gerais (UFMG) and Universidade Federal de Juiz de Fora (UFJF) as a grantee, where he engaged in various research and academic activities. His roles have encompassed a range of responsibilities, from conducting research in bioinformatics and computer science to collaborating on multidisciplinary projects. Gustavo’s professional journey underscores his expertise in scientific research and his commitment to advancing knowledge in his specialized areas.

Research Interest

Gustavo Simões Carnivali’s research interests span several key areas within bioinformatics, computer graphics, and computational mathematics. He focuses on leveraging bioinformatics tools to study genetic interactions related to diseases like Covid-19. His work extends to exploring machine learning methods for disease differentiation and developing computational models for efficient community detection in complex networks. Additionally, he engages in research aimed at understanding genetic variations and their implications in human health, showcasing a multidisciplinary approach that integrates computer science with biological sciences to address contemporary challenges in healthcare and beyond.

Award and Honors

Gustavo Simões Carnivali has garnered significant recognition for his contributions in computational sciences and bioinformatics. He received an Honorable Mention from the Brazilian Computer Society (SBC) in 2018 for his work on efficient community detection in large-scale complex networks. Additionally, he achieved First Place at Startup Weekend JF in 2015 for his project “New Dream.” These awards underscore his expertise and innovative approach in the fields of computer science, bioinformatics, and computational mathematics.

Research Skills

Gustavo Simões Carnivali is highly skilled in the fields of computer science, bioinformatics, and computational mathematics. His research expertise spans bioinformatics, focusing on gene networks and drug repurposing, as well as computer graphics for data visualization and computational mathematics for algorithmic development. With a background in machine learning, he applies these techniques to analyze complex datasets and model intricate networks. Gustavo is also proficient in scientific writing, having authored numerous peer-reviewed articles and presented his research at various international conferences. His interdisciplinary approach and innovative contributions underscore his commitment to advancing computational sciences and bioinformatics.

Publications

  1. Thermal Management of the Li‐Ion Batteries to Improve the Performance of the Electric Vehicles Applications
    • Authors: Vrije Universiteit Brussel
    • Year: 2022
  2. Understanding Voltage Behavior of Lithium-Ion Batteries in Electric Vehicles Applications
    • Authors: Not specified
    • Year: 2022
  3. Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models
    • Authors: Not specified
    • Year: 2021
  4. Reliability Evaluation of Lithium-Ion Batteries for E-Mobility Applications from Practical and Technical Perspectives: A Case Study
    • Authors: Not specified
    • Year: 2021
  5. Smart Grid in China, EU, and the US: State of Implementation
    • Authors: Not specified
    • Year: 2021
  6. Optimal Allocation and Planning of Distributed Power Generation Resources in a Smart Distribution Network Using the Manta Ray Foraging Optimization Algorithm
    • Authors: Not specified
    • Year: 2021
  7. Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications
    • Authors: Not specified
    • Year: 2021
  8. PCM assisted heat pipe cooling system for the thermal management of an LTO cell for high-current profiles
    • Authors: Not specified
    • Year: 2021
  9. Battery Modelling and Energy Management of the Electric Vehicles and Renewable Energy Resources
    • Authors: Vrije Universiteit Brussel
    • Year: 2021
  10. Aluminum Heat Sink Assisted Air-Cooling Thermal Management System for High Current Applications in Electric Vehicles
    • Authors: Vrije Universiteit Brussel
    • Year: 2020