Prof. Liang Cheng | Chemical Biology | Best Researcher Award

Posted on by ScienceFather

Prof. Liang Cheng | Chemical Biology | Best Researcher Award

Professor of Chemistry at Chemical Biology, Institute of Chemistry, Chinese Academy of Sciences, China

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Liang Cheng earned his Ph.D. in Organic Chemistry from the Institute of Chemistry, Chinese Academy of Sciences in Beijing, China, from 2004 to 2009. Prior to that, he completed his B.Sc. in Chemistry at Beijing Normal University, also in Beijing, from 2000 to 2004.

Experience:

Liang Cheng is currently a Professor at the Institute of Chemistry, Chinese Academy of Sciences in Beijing, China, a position he has held since 2021. Prior to this, he served as an Associate Professor at the same institute from 2015 to 2021. He gained valuable international experience as a Postdoctoral Research Scientist at Columbia University in New York, NY, USA, working with Prof. Ronald Breslow from 2011 to 2014. Before his postdoctoral stint, Liang was a Group Leader & Research Scientist at Chemizon Inc. & Centaurus Biopharma Co., Ltd. in Beijing, China, from 2009 to 2011.

Research:

Liang Cheng’s research interests include the recognition and functionalization of RNA by small organic molecules, as well as the selective synthesis of biologically active molecules.

Awards:

Liang Cheng has received several prestigious awards and recognitions for his contributions to the field of chemistry. In 2020, he was awarded the Outstanding Youth Science Foundation by the National Natural Science Foundation of China, as well as the Thieme Chemistry Journals Award. In 2016, he was selected as a finalist for the CIFAR (Canadian Institute for Advanced Research) Azrieli Global Scholars Program. In 2015, he was honored with the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology. Earlier in his career, Liang received Centaurus BioPharma’s Annual Outstanding Staff Award in 2011 and the Best Report Award in the 2nd “CCME-IOC & ICCAS-LMRF” Alfa Aesar® Symposium in 2009. He was also recognized with the Outstanding Young Scientist Award of the Chinese Academy of Sciences for the period 2007-2008.

Publications:

  1. Optimizing seed inputs in fuzzing with machine learning
    • Authors: L Cheng, Y Zhang, Y Zhang, C Wu, Z Li, Y Fu, H Li
    • Citations: 25
    • Year: 2019
  2. Improving accuracy of static integer overflow detection in binary
    • Authors: Y Zhang, X Sun, Y Deng, L Cheng, S Zeng, Y Fu, D Feng
    • Citations: 23
    • Year: 2015
  3. 基于犝犕犔和模型检测的安全模型验证方法
    • Authors: 程亮, 张阳
    • Citations: 14
    • Year: 2009
  4. Systematic analysis and detection of misconfiguration vulnerabilities in android smartphones
    • Authors: Z Han, L Cheng, Y Zhang, S Zeng, Y Deng, X Sun
    • Citations: 11
    • Year: 2014
  5. Protecting interoperable clinical environment with authentication
    • Authors: L Cheng, Z Li, Y Zhang, Y Zhang, I Lee
    • Citations: 9
    • Year: 2017
  6. A Covert Timing Channel via Algorithmic Complexity Attacks: Design and Analysis
    • Authors: X Sun, L Cheng, Y Zhang
    • Citations: 6
    • Year: 2011
  7. Model checking security policy model using both UML static and dynamic diagrams
    • Authors: L Cheng, Y Zhang
    • Citations: 5
    • Year: 2011
  8. Evaluating and comparing the quality of access control in different operating systems
    • Authors: L Cheng, Y Zhang, Z Han, Y Deng, X Sun, D Feng
    • Citations: 3
    • Year: 2014
  9. Quantitatively measure access control mechanisms across different operating systems
    • Authors: L Cheng, Y Zhang, Z Han
    • Citations: 3
    • Year: 2013
  10. Measuring and comparing the protection quality in different operating systems
    • Authors: Z Han, L Cheng, Y Zhang, D Feng
    • Citations: 3
    • Year: 2013

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Assist Prof at Computational Biology, Bahria University Lahore Campus, Pakistan

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Umair Ayub has pursued a Ph.D. in Computer Science from August 2019 to December 2022 at the National University of Computer and Emerging Sciences in Islamabad, Pakistan, achieving an impressive CGPA of 3.95/4.0. His doctoral thesis focused on “Protein-Protein Interaction Network Alignment,” specifically examining the global and local alignment of two PPI networks. Prior to his Ph.D., Umair completed an MS in Computer Science from August 2016 to June 2018, with a CGPA of 3.65/4.0. His master’s thesis centered on the “Optimization of Ant-Miner (a rule-based classifier) Algorithm to Extract Accurate Classification Rules.” Umair initiated his academic journey with a BS in Computer Science from August 2012 to June 2016, earning a CGPA of 2.85/4.0. For his final year project, he worked on the “Automation of University Inventory System with Inventory Utilization Prediction and AI-based Reporting.”

Experience:

Umair Ayub’s professional journey in academia and research includes various significant roles:

  • Assistant Professor at Bahria University Lahore Campus, Lahore, Pakistan, since February 2023. In this role, he teaches computer science and data science courses at both undergraduate and graduate levels. Additionally, he serves as a member of the faculty hiring committee of the computer science department and leads the panel for final year projects.
  • Lecturer to Assistant Professor at the University of Management and Technology, Lahore, Pakistan, from September 2022 to March 2023. Here, he taught computer science courses at the undergraduate level and served as a member of the technical review committee for final-year projects.
  • Visiting Faculty Member at the National University of Computer and Emerging Sciences, Islamabad, from January 2022 to June 2022. In this position, he taught Data Structures and Algorithm Courses at the undergraduate level.
  • Research Associate at the Computational Biology Research Lab, Department of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan, from September 2018 to August 2022. During this time, he conducted research in computational biology, machine learning, and deep learning. Additionally, he guided BS/MS students in understanding their research problems and helped them with machine learning models.

Research Projects:

Umair Ayub is currently involved in several research projects, including:

  • 3D Structure Prediction of Beta Barrel Membrane Proteins.
  • Forest of Genetic Algorithm for Functions Optimization.

Additionally, he is supervising the following MS-Thesis projects:

  • An Accurate Structure Aware Graph Convolutional Model for Extraction of Node Embeddings from Large Networks Data.
  • Impact of Different Topological Methods on PPI Network Alignment.
  • Gender and Age Group Identification using Facial Data.
  • Prediction of Autism Spectrum Disorder from Facial Data.

Research Areas:

Umair Ayub’s research areas include Machine Learning, Computational Biology, Networks Analysis, Swarm and Computational Intelligence, Statistical Modeling, and Function Optimization.

He has conducted several training workshops, including:

  • A 4-Day Training Workshop at the Bahria University Lahore Campus, Lahore. The primary objective of the workshop was to introduce students to the tools and techniques used in AI to solve complex problems.
  • A 5-day Training Workshop at the NUCES, Lahore. The primary objective of this workshop was to prepare students for research-related projects in the domain of AI in Healthcare.
  • A 5-day Training Workshop at the NUCES, Islamabad. The primary objective of this workshop was to introduce students to the AI domain with a specialty in healthcare.

 Skills:

Umair Ayub has achieved several distinctions, including being named the Punjab Educational Endowment Fund Scholar from 2016 to 2018 and earning the Bronze Medal in MS(CS) at NUCES, Islamabad. His skills include proficiency in Python, C++, LaTeX, Sklearn, Pytorch, Matplotlib, Numpy, and Linux.

Publications:

Title: “Predicting crop diseases using data mining approaches: classification” Authors: U Ayub, SA Moqurrab Year: 2018 Citations: 41

Title: “An accurate deep learning model for clinical entity recognition from clinical notes” Authors: SA Moqurrab, U Ayub, A Anjum, S Asghar, G Srivastava Year: 2021 Citations: 25

Title: “SAlign–a structure aware method for global PPI network alignment” Authors: U Ayub, I Haider, H Naveed Year: 2020 Citations: 12

Title: “PRRAT_AM—an advanced ant-miner to extract accurate and comprehensible classification rules” Authors: U Ayub, H Naveed, W Shahzad Year: 2020 Citations: 4

Title: “Opinion and emotion mining for Pakistan general election 2018 on Twitter data” Authors: S Khan, SA Moqurrab, R Sehar, U Ayub Year: 2019 Citations: 4

Title: “AMclr an improved ant-miner to extract comprehensible and diverse classification rules” Authors: U Ayub, A Ikram, W Shahzad Year: 2019 Citations: 3

Title: “BioAlign: An Accurate Global PPI Network Alignment Algorithm” Authors: U Ayub, H Naveed Year: 2022 Citations: 2

Title: “GSLAlign: community detection and local PPI network alignment” Authors: U Ayub Year: Not provided Citations: Not provided

 

Assist Prof Dr. Samia Daldoul | Plant Stress Resilience | Women Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Samia Daldoul | Plant Stress Resilience | Women Researcher Award

Assistant Professor at Plant Stress Resilience, Centre of Biotechnology of Borj Cedria, Tunisia

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Samia Daldoul obtained her Bachelor of Sciences in Natural Science from the Faculty of Sciences of Tunis, Tunisia, in 2000. She then pursued a Master’s degree in Plant Eco-Physiology from the same institution in 2003. In 2010, she completed her Ph.D. in Plant Biotechnology at the Faculty of Sciences of Tunis. Following her Ph.D., she worked as a Postdoctoral Researcher at the Center of Biotechnology, Technopark of Borj-Cédria, Tunisia, in 2011. In 2012, Dr. Daldoul assumed a permanent position as an Assistant Professor at the Center of Biotechnology of Borj Cedria, PB 901, Hammam-Lif, Tunisia.

International Fellowships:

Dr. Samia Daldoul received the Deutscher Akademischer Austauschdienst (DAAD) fellowship in 2007, which allowed her to join the Genomics and Genetic Engineering team at Alplanta Agroscience in Germany. She continued her research in the same team with another DAAD fellowship in 2008. In 2013, she pursued a fellowship with the Virology team at Alplanta Agroscience, once again through the DAAD program.

Research Projects:

  1. ICGEB Research Grant CRP/TUN0601 (2007-2009): Investigated major genes conferring tolerance to salinity in Tunisian grapevines.
  2. Tunisian-German joint project Tunger (2016-2018): Conducted functional studies of grapevine abiotic stress genes at Dlr-Rheinpfalz, Neustadt An Der Weinstrasse, Germany.
  3. Tunisian-German joint project Tunger-2015-32 (2016-2018): Investigated sustainable viticulture for global climate change, focusing on wild grapevines from Europe and North Africa as genetic resources for tolerance to salinity and wood-decaying diseases at the Molecular Cell Biology, Botanical Institute, Karlsruhe Institute of Technology, Germany.
  4. COST Action CA17111 (2018-2022): Contributed to research on data integration to maximize the power of omics for grapevine improvement.
  5. COST Action CA19125 (2020-2024): Currently serving as the Investigateur Principal, focusing on the epigenetic mechanisms of crop adaptation to climate change.

 

 

Assoc Prof Dr. Nahlah almansour | Molecular Biology

Posted on by ScienceFather
Assoc Prof Dr. Nahlah almansour : Leading Researcher in Molecular Biology

Associate Professor at Heat exchangers, University of Haf Al Batin ,Saudi Arabia

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

EDUCATION:

Embarking on a journey of academic excellence, I earned my Doctor of Philosophy (PhD) in Applied Biology and Biotechnology from RMIT University in Melbourne, Australia. This doctoral pursuit equipped me with an in-depth understanding of the applications of biology and biotechnology in various contexts. Prior to my doctoral studies, I completed my Master’s Degree of Science (MSc) in Zoology at King Saud University in Riyadh, Saudi Arabia. This postgraduate endeavor honed my expertise in the intricate facets of zoology, laying a solid foundation for my future academic and research endeavors. My academic trajectory commenced with a Bachelor Degree of Science (BSc) in Zoology with honors from Dammam University in Saudi Arabia. This undergraduate experience provided me with a comprehensive understanding of zoological principles, setting the stage for my subsequent academic and professional pursuits. Collectively, these educational milestones reflect my commitment to continuous learning and the pursuit of knowledge in the realms of biology and biotechnology.

Awards and membership:

My journey has been marked by notable achievements and recognition, exemplifying my commitment to academic excellence and contributions to the scientific community. In 2013, I was honored to receive a prestigious prize from the Embassy of Saudi Arabia in Australia, a testament to my academic and extracurricular accomplishments. The year prior, in 2012, I was recognized with the Sciences Achievement Award by the Saudi Club in Melbourne, Australia, further acknowledging my dedication to the field of science. A pivotal moment in my academic trajectory occurred in 2007 when I was granted a PhD scholarship by the Ministry of Higher Education

Throughout my academic journey, I have actively contributed to various committees, demonstrating my commitment to fostering a positive and enriching academic environment. As a dedicated member of the Student Discipline Committee at the University of Hafr Al Batin, I played a crucial role in upholding and maintaining a conducive learning atmosphere. Additionally, my involvement in the Scientific Research Unit showcased my dedication to advancing scholarly pursuits within the university community.

My commitment extends beyond disciplinary matters, as evidenced by my membership in the Biology Program in the Science College Equivalency Biology Program at the Education College, University of Hafr Al Batin. This dual involvement allowed me to contribute to both academic disciplines, fostering a holistic approach to education. Furthermore, my role in the Community Services Committee within the Biology Department underlines my dedication to connecting academia with the broader community.

Nahlah almansour citation metrics and indices from Google Scholar are as follows:

Cited by: All: 379, Since 2018: 301
Citations: 379 (All), 301 (Since 2018)
h-index: 10 (All), 10 (Since 2018)
i10-index: 11 (All), 10 (Since 2018)

PUBLICATIONS:

1.Triple-negative breast cancer: a brief review about epidemiology, risk factors, signaling pathways, treatment and role of artificial intelligence

  • Published in Energy Conversion and Management in 2022 with 109 citations.

2.Biological Effects of a De Novo Designed Myxoma Virus Peptide Analogue: Evaluation of Cytotoxicity on Tumor Cells

  • Published in Energy Conversion and Management in 2011 with 61 citations.

3.Single nucleotide polymorphisms (SNPs) in prostate cancer: its implications in diagnostics and therapeutics

  • Published in Energy Conversion and Management in 2021 with 32 citations.

4.In Silico Targeting Human Multidrug Transporter ABCG2 in Breast Cancer: Database Screening, Molecular Docking, and Molecular Dynamics Study

  • Published in Energy Conversion and Management in 2022 with 19 citations.

5.Prospective drug candidates as human multidrug transporter ABCG2 inhibitors: An in silico drug discovery study

  • Published in Energy Conversion and Management in 2021 with 17 citations.