Yiwen Lin | Analysis of PDEs | Best Researcher Award

Published on 29/05/202401/07/2024 by Invention Awards

Dr. Yiwen Lin, Analysis of PDEs, Best Researcher Award

Doctorate at Shanghai Jiao Tong University, China

Yiwen Lin is a Wen-Tsun Assistant Professor at Shanghai Jiao Tong University, specializing in applied mathematics. Her academic journey includes a Ph.D. in Computational Mathematics from Zhejiang University and a postdoctoral fellowship at Shanghai Jiao Tong University. With a focus on kinetic-fluid modeling, random scattering, and inverse scattering problems, Yiwen has made significant contributions to the field, including the development of new mathematical methods and stability results.

Author Metrics

Scopus Profile

Google Scholar Profile

Yiwen Lin has an impressive citation record, with 16 citations on Google Scholar, reflecting the impact and relevance of her research. She has published 8 papers in esteemed scientific journals, including 6 published and 2 accepted papers. Her work has garnered recognition and citations from peers in the field of applied mathematics.

Yiwen Lin has an impressive citation record, with 16 citations on Google Scholar. Her h-index is 2, indicating she has at least 2 papers cited at least 2 times each. Additionally, her i10-index is 1, meaning she has 1 paper cited at least 10 times. These metrics reflect the impact and relevance of her research in applied mathematics.

Education

Yiwen Lin received her Ph.D. in Computational Mathematics from Zhejiang University, studying under the guidance of Prof. Gang Bao. Her doctoral research spanned from September 2016 to June 2021. Following her Ph.D., Yiwen pursued postdoctoral research from July 2021 to June 2024 at Shanghai Jiao Tong University, co-advised by Prof. Shi Jin.

Research Focus

Yiwen Lin’s research interests lie in applied mathematics, particularly in kinetic-fluid modeling for mixtures of flows with uncertainties, random scattering, and inverse scattering problems. Her work involves developing mathematical models and computational methods to understand and solve complex physical phenomena involving random and uncertain parameters.

Professional Journey

Her dedication and contributions to the field have led to her appointment as a Tenure-Track Associate Professor at Shanghai Jiao Tong University, starting in July 2024.

Honors & Awards

Yiwen Lin’s achievements in publishing high-impact papers and collaborating with esteemed professors like Gang Bao and Shi Jin highlight her recognition and standing in the academic community.

Publications Noted & Contributions

Yiwen Lin has published 8 papers in renowned scientific journals. Notable contributions include a stability result for the Helmholtz equation on random periodic structures and the development of the MCCUQ method for reconstructing statistical quantities of unknown random periodic structures. Her research has been published in journals such as the Journal de Mathematiques Pures et Appliquees and the SIAM Journal on Numerical Analysis.

Inverse Scattering by a Random Periodic Structure

Authors: G Bao, Y Lin, X Xu
Published In: SIAM Journal on Numerical Analysis, 2020
Summary: This paper investigates the inverse scattering problem for waves interacting with random periodic structures. It focuses on developing numerical methods and theoretical analysis to handle the randomness and periodicity in such problems.

Stability for the Helmholtz Equation in Deterministic and Random Periodic Structures

Authors: G Bao, Y Lin, X Xu
Published In: arXiv preprint, 2022
Summary: This work studies the stability of solutions to the Helmholtz equation when applied to both deterministic and random periodic structures, providing insights into the behavior of wave propagation in such environments.

Energy Estimates and Hypocoercivity Analysis for a Multi-phase Navier-Stokes-Vlasov-Fokker-Planck System with Uncertainty

Authors: S Jin, Y Lin
Published In: Journal of Differential Equations, 2024
Summary: The paper presents energy estimates and hypocoercivity analysis for a complex multi-phase system combining Navier-Stokes, Vlasov, and Fokker-Planck equations, considering the impact of uncertainty in the system.

Asymptotic-Preserving Schemes for Kinetic-Fluid Modeling of Mixture Flows with Distinct Particle Sizes

Authors: S Jin, Y Lin
Published In: arXiv preprint, 2022
Summary: This research introduces asymptotic-preserving numerical schemes for modeling mixture flows where particles of different sizes are present, ensuring computational efficiency and accuracy even in challenging kinetic-fluid regimes.

Error Estimates of a Bi-Fidelity Method for a Multi-phase Navier-Stokes-Vlasov-Fokker-Planck System with Random Inputs

Authors: Y Lin, S Jin
Published In: arXiv preprint, 2023
Summary: The paper provides error estimates for a bi-fidelity approach applied to a multi-phase system governed by Navier-Stokes-Vlasov-Fokker-Planck equations, focusing on the effects of random inputs on the system’s performance.

On Uniqueness of Elastic Scattering from a Cavity

Authors: T Wang, Y Lin, X Xu
Published In: arXiv preprint, 2023
Summary: This work addresses the uniqueness of solutions in the context of elastic wave scattering from cavities, contributing to the theoretical understanding of such scattering problems.

A Priori Bounds for Elastic Scattering by Deterministic and Random Unbounded Rough Surfaces

Authors: T Wang, Y Lin, X Xu
Published In: arXiv preprint, 2023
Summary: The paper derives a priori bounds for the solutions of elastic scattering problems involving both deterministic and random unbounded rough surfaces, providing crucial theoretical estimates.

Determination of Random Periodic Structures in Transverse Magnetic Polarization

Authors: G Bao, Y Lin
Published In: 2021
Summary: This study focuses on the determination of random periodic structures when subjected to transverse magnetic polarization, offering insights and methodologies for solving such inverse problems.

Research Timeline

Ph.D. Research (2016.9-2021.6): Focused on computational mathematics under Prof. Gang Bao.
Postdoctoral Fellowship (2021.7-2024.6): Conducted research under the co-advisement of Prof. Shi Jin.

Collaborations and Projects

Yiwen Lin has collaborated with prominent mathematicians, including Gang Bao from Zhejiang University, Shi Jin from Shanghai Jiao Tong University, and Xiang Xu from Zhejiang University. Her research projects include four completed or ongoing projects focused on applied mathematics, contributing to advancements in kinetic-fluid modeling and scattering problems.

Arebu Yimer | Irrigation | Best Researcher Award

Published on 29/05/202401/07/2024 by Invention Awards

Mr. Arebu Yimer | Irrigation | Best Researcher Award

Mr.Arebu Yimer,Mekdela Amba University, Ethiopia,

Mr. Arebu Yimer is a distinguished academic affiliated with Mekdela Amba University in Ethiopia. He has made significant contributions to the institution through his research, teaching, and community engagement. Mr. Yimer is known for his dedication to advancing education and fostering academic excellence. His work not only enhances the university’s reputation but also positively impacts the local and broader academic communities. Through his commitment to scholarly pursuits and educational development, Mr. Yimer continues to inspire both colleagues and students alike.

Profile

Scopus

Education

Master of Science Degree in Agronomy, Hawassa University, Ethiopia,November 21, 2018, with great distinction (Grade: 3.8/4.0).,Website: Hawassa University,Bachelor of Science Degree in Plant Science, Debre Berhan University, Ethiopia,July 07, 2011, with a grade of 3.63/4.0.,Website: Debre Berhan University

Professional Training

Training Course on Hybrid Rice Comprehensive Technology for Developing Countries
Sponsored by the Ministry of Commerce of the People’s Republic of China
May 24, 2023, to June 6, 2023.,Website: LPHT,2023 Training Course on Hybrid Maize Comprehensive Technology for Developing Countries,Sponsored by the Ministry of Commerce of the People’s Republic of China
April 13, 2023, to April 26, 2023.
Website: LPHT,Climate Risk Management in Agriculture (CRMA)
Organized by Mekdela Amba University, Ethiopia, 2023.Food Security in a Changing Climate,Wageningen Centre of Development Innovation, 2021,Sponsored by the Netherlands Government,September 21, 2021, to December 3, 2021.,Website: Wageningen University & Research,Training Course on Green Ecological and Safe Storage Technology
Henan University of Technology, Sponsored by the China Government
October 17, 2021, to December 17, 2021.Leadership and Emotional Intelligence
Indian School of Business, India,October 21, 2020, to December 23, 2020.,Training Methodology for Vocational Instructors in the Field Crop Production,Organized by GIZ CONSULT, part of the NIRAS GROUP with GIC ATVET, 2019.

Work Experience

Coordinator of Research, Community Service, and Technology Transfer
College of Agriculture and Natural Resource, from December 1, 2023, to present.,Coordinator of Academic Relevance and Quality Assurance,College of Agriculture and Natural Resource, from November 2019 to November 2023.,Teaching Responsibilities: Plant physiology, Agro-climatology, Practice and principles of irrigation, Crop production and management, Plant nutrition and soil fertility, Plant ecology, Postharvest handling of horticultural and field crops, Seed Science and Technology, Principles, Design and Analysis of Agricultural Experiments, and Research methods.,Research Activities: Conducting problem-solving research projects on plant nutrition, soil health and fertility, crop improvement, crop yield and quality; conducting laboratory and field experiments; collecting and analyzing experimental data.

Educational Experience

Instructor: School of Nursing and Midwifery (educational and clinical),Teaching Theoretical Courses: Management, infants, children, principles and techniques of nursing, medical surgical nursing,Teaching Practical Courses: Nursing principles and techniques,Clinical Instructor: Pediatric internship and internship units, NICU, and management of nursing and midwifery students,Lecturer: One-day strategic management workshop, Tehran University of Welfare and Rehabilitation Sciences,Teacher: Retraining programs for nursing staff including hospital management (10 theoretical hours, 2017), training of vital signs (6 theoretical hours and 4 practical hours, 2019), NICU special care (20 theoretical hours, 2017), hospital management for two-day hospital managers (2018), and ICU instructor for two-day hospital staff (2019)

Previously Affiliated Institutions and Positions Held

Alage Agricultural Technical Vocational Education and Training (ATVET) College,Junior Instructor to Senior Instructor
November 11, 2011, to August 22, 2019.,Leader and Teacher of Specialization and Scaling Up Training on Horticulture and Field Crops,October 2013 to June 2014.,Focal Person in SNV Horti-life Project
December 2018 to August 2019.

Publications

1.Seid, M., & Arebu, H. (2023). Influence of deficit irrigation levels on agronomic performance of pepper (Capsicum annuum L.) under drip at alage, central rift valley of Ethiopia. PLoS ONE, 18(11), e0280639. https://doi.org/10.1371/journal.pone.0280639.

2.Arebu, H.Y., Nuru, S.T., & Melese, W./silasie. (2023). Evaluation of different species of earthworm for adaptability at Borena District, South Wollo Ethiopia. Agricultural and Biological Research, 39(4), 1-6.

3.Arebu, H.Y. (2022). Role of Combined Fertilizer Application on Soil Fertility, Growth and Yield of Potato (Solanum tuberosum L.). Agricultural Science Digest, 42(6), 665-670. https://doi.org/10.18805/ag.AF-693.

4.Arebu, H.Y. (2022). Postharvest Management Practices of Maize in Ethiopia: A Review. Agricultural Science Digest, 42(5), 521-527. https://doi.org/10.18805/ag.DF-414.

5.Arebu, H.Y. (2022). Influence of Organic Fertilizers on Productivity of Barley: A Review. Agricultural Science Digest, 42(2), 121-127. https://doi.org/10.18805/ag.DF-374.

6.Arebu, H. (2021). Effect of Critical Period of Weed Competition and Its Management Option in Sweet Corn [Zea mays (L.) var. saccharata strut] Production: A Review. Agricultural Reviews, 42(3), 308-314. https://doi.org/10.18805/ag.R-189.

7.Arebu, H. (2021). Important of applying intercropping for sustainable crop production: A Review. International Journal of Research in Agronomy, 4(2), 37-40. https://doi.org/10.33545/2618060X.2021.v4.i2a.81.

8.Arebu, H. (2021). Impact of temperature and relative humidity in quality and shelf life of mango fruit. Journal of Current Research in Food Science, 3(1), 46-50. https://doi.org/10.33545/26631067.2021.v3.i1a.62.

9.Arebu, H. (2020). Review on Response of Cereal Crops to Climate Change. Advances in Bioscience and Bioengineering, 8(4), 63-72. https://doi.org/10.11648/j.abb.20200804.11.

10.Arebu, H., Walelign, W., & Moltot, Z. (2019). Effects of Deficit Irrigation and Phosphorus Levels on Growth, Yield, Yield Components and Water use Efficiency of Mung Bean (Vigna radiata (L.) Wilczek) at Alage, Central Rift Valley of Ethiopia. Agricultural Research & Technology: Open Access Journal, 21(3), 556167. https://doi.org/10.19080/ARTOAJ.2019.21.556167.

Roqayeh Gashmard | Pediatrics | Best Researcher Award

Published on 29/05/202401/07/2024 by Invention Awards

Assist Prof Dr. Roqayeh Gashmard | Pediatrics | Best Researcher Award

Assist Prof Dr.Roqayeh Gashmard,Bushehr university of medical sciences,Iran

Assist. Prof. Dr. Roqayeh Gashmard is a distinguished faculty member at Bushehr University of Medical Sciences in Iran. With extensive expertise in her field, Dr. Gashmard has significantly contributed to medical research and education. Her work encompasses a broad range of topics within medical sciences, focusing on advancing healthcare through innovative research and teaching. Dr. Gashmard is dedicated to mentoring the next generation of medical professionals and improving healthcare outcomes in her community.

Profile

Scopus

Education

Master’s Degree: Tehran University of Welfare and Rehabilitation Sciences
Master’s Dissertation: Investigating the effect of mothers’ participation on the feeding pattern of 12-30-month-old toddlers referring to Health centers of 4th district of Tehran, August 2016.,PhD: Tarbiat Modares University, Tehran
PhD Thesis: Explaining the process of managing a child with Down syndrome by the family: July 2019.

Technical Skills

Proficient in ICDL seven skills,Experienced in using SPSS software,Skilled in EndNote software,Knowledgeable in digital library operations

Workshops and Retraining Programs:

Lecturer of one-day strategic management workshop at Tehran University of Welfare and Rehabilitation Sciences,Teacher of various retraining programs for nursing staff:Hospital Management (10 theoretical hours, 2017),Training of Vital Signs (6 theoretical and 4 practical hours, 2019),NICU Special Care (20 theoretical hours, 2017),Hospital Management for Hospital Managers (2018),ICU Instructor for Hospital Staff (2019)

Educational Experience

Executive Records

Responsible for teaching at the School of Nursing and Midwifery (2007-2014),Representative of the Faculty of Nursing and Midwifery in the Women’s Affairs Office of the University (2004-2005),Representative of the University Vice-Chancellor in Women’s Health Affairs,Executive member of the third election cycle of Bushehr province nursing system,Member of the Professional Ethics Promotion Committee in Nursing and Midwifery Education (February 1993 – February 1994),Member of the Postgraduate Education Council since 1999,Member of the executive board of the sixth election cycle of Bushehr province nursing system organization (2023),Member of the specialized accountability and social justice working group (2023),Secretary of the committee for holding the comprehensive examination of undergraduate nursing students of the Faculty of Nursing and Midwifery (2019)

Research Projects

2004: “Evaluation of the risk factors of heart attack in patients visiting Fatima Zahra Hospital – Bushehr” (Questioner),2004: “Evaluation of complications and how to prescribe Gentamycin ampoules in patients at the injection department of Hazrat Abolfazl polyclinic” (Questioner),2009-2012: “Investigating the health status of students covered by the Imam Khomeini Relief Committee (RA) in Bushehr Province” (Researcher),2009-2012: “Determining the rate of osteoporosis and its risk factors in women over 50 years old under the coverage of the Imam Khomeini (RA) Relief Committee, Bushehr province” (Main collaborator),2014: “Elderly Health Survey” of Tehran University of Welfare and Rehabilitation Sciences (Questioner),2016: “Investigation of awareness, attitude and performance of Bushehr prisoners regarding AIDS” (Main partner, approved by University Research Council),2018-2019: “Investigation of professors’ and students’ views on the characteristics of a good professor” (Conductor, approved by University of Medical Sciences)

Publications

Armaghan Danesh (Spring 2018)
- Title: Investigation of the effect of nutrition education to mothers of toddlers on their feeding pattern
- Role: First author
Scientific-Research Quarterly of Education in Medical Sciences in Isfahan (Spring 1990)
- Title: Viewpoints of professors and students of Bushehr University of Medical Sciences on the characteristics of a good professor 2008-2009
- Role: First author
Children’s book
- Title: Growth and development of toddlers with emphasis on the importance of nutrition
- Year: Spring 2019
ISI article
- Title: Evaluating the Factors Influencing Productivity of Medical Staff in Hospitals
- Year: 2013
- Role: First author
ISI article
- Title: Burnout and its related demographic factors of the medical staff working in hospitals associated with Bushehr University of Medical Sciences
- Year: 2015
- Role: First author
Jundi Shapour Health Journal (2015)
- Title: Knowledge, Attitude, and Practice (KAP) Regarding HIV/AIDS Transmission and Prevention Among Inmates in Bushehr Prison
- Role: Fourth author
Southern Medicine (2015)
- Title: Comparison of the effect of multimedia education and regular education in Bushehr health centers on exclusive breastfeeding of children under 6 months
Women’s magazine (2016)
- Title: Investigating the knowledge, attitude, and performance of female high school students regarding osteoporosis
- Year: 2016
- Role: Second author
Journal of Educ Ethics Nurs (2017)
- Title: The study of patients’ satisfaction with the observance of the Charter of Patient Rights by nurses and doctors of the Persian Gulf Martyrs Hospital in Bushehr
- Role: First author
Medicine (2020)
- Title: Coping strategies adopted by Iranian families of children with Down syndrome: A qualitative study
- Year: 2020
- Role: First author
Spring (1401)
- Title: Examining the attitude and performance of mothers with children under five years of age and the relationship with the occurrence of domestic affairs
Iran South Med J (2022)
- Title: Comparison of the effect of music therapy and swaddling on physiological indicators and pain intensity caused by blood sampling in premature babies hospitalized in the neonatal intensive care unit: a randomized trial
- Year: 2022
Book
- Title: Nursing a healthy child
- Publisher: Jamia Negar Publishing House, Tehran
- Year: 2022

Alaa Hammad | Addiction | Best Researcher Award

Published on 29/05/202401/07/2024 by Invention Awards

Dr. Alaa Hammad | Addiction | Best Researcher Award

Dr.Alaa Hammad,Alzaytoonah University of Jordan,Jordan

Dr. Alaa Hammad is a distinguished academic at Al-Zaytoonah University of Jordan, located in Amman, Jordan. He holds a prominent position within the university, contributing significantly to both its academic and research endeavors. Dr. Hammad’s expertise spans across various disciplines, with a particular focus on [specific fields, e.g., computer science, engineering, etc., if known]. He is renowned for his extensive research, numerous publications, and active participation in academic conferences and workshops. His commitment to education and research excellence has made him a respected figure in the academic community at Al-Zaytoonah University and beyond.

Profile

Scopus Profile

Education

University of Toledo, Toledo, Ohio, USA, 2017. GPA 4.0/4.0.M.Sc. (Pharmaceutical Sciences – Pharmacology)
Albany College of Pharmacy and Health Sciences, Albany, New York, USA, 2011. GPA 3.93/4.0.B.Sc. (Pharmacy)
Jordan University, Amman, Jordan, 2007. GPA 3.63/4.0.,Ph.D. Dissertation,”The role of Glutamate Transporter 1 and Cystine-glutamate exchanger in cocaine and ethanol co-abuse: Potential therapeutic targets,” University of Toledo, Toledo, Ohio, USA.,Employment,Academic Positions,Associate Professor, Pharmacology Department, Al-Zaytoonah University of Jordan, Amman, Jordan (December 15, 2021 – Present).,Assistant Professor, Pharmacology Department, Al-Zaytoonah University of Jordan, Amman, Jordan (December 15, 2017 – December 15, 2021).,Graduate Assistant, Department of Pharmacology and Experimental Therapeutics, The University of Toledo, Toledo, Ohio,

Employment

Academic Positions,Associate Professor, Pharmacology Department, Al-Zaytoonah University of Jordan, Amman, Jordan (December 15, 2021 – Present).Assistant Professor, Pharmacology Department, Al-Zaytoonah University of Jordan, Amman, Jordan (December 15, 2017 – December 15, 2021).Graduate Assistant, Department of Pharmacology and Experimental Therapeutics, The University of Toledo, Toledo, Ohio, USA (August 2015 – August 2017).Instructor, Pharmacology Department, Al-Zaytoonah University of Jordan, Amman, Jordan (February 2012 – August 2014).Non-Academic Positions,Assistant Data Analyst, International Pharmaceutical Research Center (IPRC), Amman, Jordan (March 2007 – August 2009).

Supervision of Graduate Research

Ghadeer M.S. Swiss: “Effects of water pipe whole body exposure on gene expression of glial glutamatergic transporters in different mesocorticolimbic brain regions,” 2020.,Yasmine Ibrahim: “Effects of Oxandrolone on glial glutamatergic transporters expression in different mesocorticolimbic brain regions,” 2020.,Lujaine Zagari: “Aspirin effect on tobacco smoke withdrawal-induced anxiety in female rats,” 2021.

Grants

Al-Zaytoonah University research grant (grant no. 26/12/2019-2020): “Effect of chronic inhalation of water pipe on rat behavior and glial glutamate transporters and cannabinoid receptor type 1 in rats.” Amount: 56,000 USD, duration: 24 months.,International Centre for Genetic Engineering and Biotechnology (ICGEB) research grant (grant no. CRP/JOR21-03): “Aptamer-guided Plant Polyphenol Nanoassemblies for Effective Cancer Targeting.” Amount: 45,000 Euro, duration: 36 months.

Teaching Experience

Graduate Courses,Advanced Pathophysiology for Nursing Students.,Advanced Clinical Pharmacology and Therapeutics.,Undergraduate Courses,Clinical Pharmacy and Therapeutics 1 & 2.,Biopharmaceutics and Pharmacokinetics.,Biopharmaceutics and Pharmacokinetics Laboratory.,Clinical Pharmacy and Therapeutics Laboratory 1 (Clinical Cases) & 2 (Hospital).,Professional Pharmacy Practice 2.,Pathophysiology and Pathophysiology Laboratory.,Physiology 1 and Physiology Laboratory.,Pharmacology Laboratory.

Membership in Scientific Societies and Associations

Member of Jordan Pharmaceutical Association (JPA).,Member of American Society for Pharmacology and Experimental Therapeutics (ASPET).,Member of Society for Neuroscience (SFN).

Publications

1.Hammad, A.M., Al-Zaghari, L., Alfaraj, M., Al-Shawaf, L., & Sunoqrot, S. (2024). Nanoassemblies from the Aqueous Extract of Roasted Coffee Beans Modulate the Behavioral and Molecular Effects of Smoking Withdrawal-Induced Anxiety in Rats. Drug Delivery and Translational Research. [Accepted].

2.Sunoqrot, S., Alkurdi, M., Al Bawab, A.Q., Hammad, A.M., et al. (2023). Encapsulation of Morin in Lipid Core/PLGA Shell Nanoparticles Significantly Enhances its Anti-Inflammatory Activity and Oral Bioavailability. Saudi Pharmaceutical Journal.

3.Hammad, A.M., Shawaqfeh, B., Hikmat, S., et al. (2023). The Role of Vitamin E in Protecting against Oxidative Stress, Inflammation, and the Neurotoxic Effects of Acute Paracetamol in Pregnant Female Rats. Toxics, 11(4), 368.

4.Amawi, H., Arabyat, R.M., Al-Azzam, S., Hammad, A.M., et al. (2023). The Length of Hospital Stay of Patients with Venous Thromboembolism: A Cross-Sectional Study from Jordan. Medicina, 59(4), 727.

5.Hammad, A.M., Alhusban, A.A., Alzaghari, L.F., et al. (2023). Effect of Cigarette Smoke Exposure and Aspirin Treatment on Neurotransmitters’ Tissue Content in Rats’ Hippocampus and Amygdala. Metabolites, 13(4), 515.

6.Tarawneh, O., Hammad, A.M., Maffouz, H.A., et al. Development of Mucoadhesive Cellulose Derivatives Based Films for the Treatment of Vaginal Candidiasis.

7.Abusara, O.H., Ibrahim, A.I., Issa, H., Hammad, A.M., et al. (2023). In Vitro Evaluation of ALDH1A3-Affinic Compounds on Breast and Prostate Cancer Cell Lines as Single Treatments and in Combination with Doxorubicin. Current Issues in Molecular Biology, 45(3), 2170-2181.

8.Hammad, A.M., Alzaghari, L.F., Alfaraj, M., et al. (2023). Acetylsalicylic Acid Reduces Cigarette Smoke Withdrawal-Induced Anxiety in Rats via Modulating the Expression of NFĸB, GLT-1, and xCT. Frontiers in Pharmacology, 13, 1047236.

Saleh, M.M., Abuarqoub, D.A., Hammad, A.M., et al. (2022). In Vitro Anticancer Properties of Novel Bis-Triazoles. Current Issues in Molecular Biology, 45(1), 175-196.

9.Hammad, A.M., Naser, A., Amawi, H., et al. (2022). Effect of Amoxicillin/Clavulanic Acid in Attenuating Pregabalin-Induced Condition Place Preference. Behavioural Brain Research, 114244.

10.Khdair, S.I., Al-Bdour, R., Jarrar, W., Hammad, A., et al. (2022). Immunogenetic Profiling of SLE and LN among Jordanian Patients. Journal of Personalized Medicine, 12(12), 1955.

11.Alhusban, A.A., Hammad, A.M., Alzaghari, L.F., et al. (2022). Rapid and Sensitive HPLC-MS/MS Method for Quantification of Dopamine, GABA, Serotonin, Glutamine, and Glutamate in Rat Brain Regions after Exposure to Tobacco Cigarettes. Biomedical Chromatography.

12.Hamed, R., Abu Kwiak, A.D., Al-Adhami, Y., Hammad, A.M., et al. (2022). Microemulsions as Lipid Nanosystems Loaded into Thermoresponsive In Situ Microgels for Local Ocular Delivery of Prednisolone. Pharmaceutics, 14(9), 1975.

13.Al-Shalabi, E., Abusulieh, S., Hammad, A.M., Sunoqrot, S. (2022). Rhoifolin Loaded in PLGA Nanoparticles Alleviates Oxidative Stress and Inflammation In Vitro and In Vivo. Biomaterials Science.

14.Hammad, A.M., Al-Qerem, W.A., Sunoqrot, S.Z., et al. (2022). Pharmacy Students’ Perceptions and Attitudes Towards Experiential Training in Jordan and United Kingdom. Tropical Journal of Pharmaceutical Research, 21(7), 1531-1541.

15.Al-Qerem, W., Jarab, A., Hammad, A., et al. (2022). Knowledge, Attitudes, and Practices of Adult Iraqi Population Towards COVID-19 Booster Dose: A Cross-Sectional Study. Patient Preference and Adherence, 16, 1525-1537.

16.Hammad, A.M., Al-Qerem, W., Alasmari, F., et al. (2022). Identifying Drug-Therapy Problems Among Syrian Refugees in Zaatari Refugee Camp. International Journal of Environmental Research and Public Health, 19, 7199.

17.Hammad, A.M., Al-Qerem, W., Zaid, A.A., et al. (2022). Misconceptions Related to COVID-19 Vaccines Among the Jordanian Population: Myth and Public Health. Disaster Medicine and Public Health Preparedness.

18.Alhusban, A.A., Hammad, A.M., Alzaghari, L.F. (2022). Simple HPLC Method for Simultaneous Quantification of Nicotine and Cotinine Levels in Rat Plasma After Exposure to Two Different Tobacco Products. Acta Chromatographica.

19.Al-Qerem, W., Hammad, A., Jarab, A., et al. (2022). Knowledge, Attitudes, and Practice with Respect to Antibiotic Use Among Pharmacy Students: A Cross-Sectional Study. European Review for Medical and Pharmacological Sciences, 26(10), 3408-3414.

Zhe Wang | System Security | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Prof. Zhe Wang, System Security, Best Researcher Award

Professor at Institute of Computing Technology, Chinese Academy of Sciences, China

Zhe Wang, an Associate Professor at the State Key Laboratory of Processor, Institute of Computing Technology of CAS, Beijing, boasts a Ph.D. in Computer Architecture from the University of Chinese Academy of Sciences. He completed his Bachelor of Science in Software Engineering at Beijing University of Technology. His research interests include dynamic binary translation, cross-ISA system-level virtualization, and memory corruption attacks and defenses. Zhe has garnered numerous scholarships and awards for his outstanding academic performance.

Author Metrics

Google Scholar Profile

Zhe Wang’s prolific academic career is evident in his author metrics, showcasing a wealth of contributions to the field. He has authored/co-authored numerous papers published in prestigious conferences and journals, including several CCF-A and CCF-B ranked venues. Zhe’s research has garnered significant attention, with papers receiving distinguished awards and honorable mentions.

Zhe Wang’s citation metrics reflect a solid impact in the academic community. With 186 citations, his h-index and i10-index both stand at 8. This indicates that Zhe has authored at least 8 papers that have each been cited at least 8 times, showcasing a consistent level of influence and recognition in his field. These metrics are indicative of Zhe’s contributions to advancing knowledge and understanding within computer architecture and security.

Education

Zhe Wang’s academic journey is marked by excellence. He earned his Ph.D. in Computer Architecture from the University of Chinese Academy of Sciences in 2018. Prior to this, he obtained his Bachelor of Science in Software Engineering from Beijing University of Technology in 2012.

Research Focus

Zhe Wang’s research is focused on several key areas within computer architecture and security. His interests encompass dynamic binary translation, cross-ISA system-level virtualization, hardware-assisted virtualization, and various aspects of memory corruption attacks and defenses. His work contributes to advancing the understanding and mitigation of security vulnerabilities in computer systems.

Professional Journey

Zhe Wang’s professional journey has seen him rise to the position of Associate Professor at the Institute of Computing Technology of CAS, Beijing. He has accumulated extensive experience in his field, with a focus on computer architecture, virtualization, and security. Zhe has actively contributed to research, education, and academic service throughout his career.

Honors & Awards

Zhe Wang’s exceptional academic performance has been recognized through numerous honors and awards. He has received prestigious scholarships such as the CAS Presidential Scholarship and the ICT Presidential Scholarship. Zhe’s research contributions have also been acknowledged with awards such as Distinguished Paper Awards and Best Paper Honorable Mentions at renowned conferences.

Publications Noted & Contributions

Zhe Wang’s publications are notable for their quality and impact on the field. His research contributions span a wide range of topics, including intra-process memory isolation, speculation contention attacks, and code obfuscation techniques. His papers have been published in respected venues such as IEEE Transactions and ACM conferences, contributing valuable insights to computer architecture and security.

Dancing with Wolves: An Intra-process Isolation Technique with Privileged Hardware

Authors: C. Wu, M. Xie, Z. Wang, Y. Zhang, K. Lu, X. Zhang, Y. Lai, Y. Kang, M. Yang, …
Published in IEEE Transactions on Dependable and Secure Computing in 2022
Citations: 6

Khaos: The impact of inter-procedural code obfuscation on binary diffing techniques

Authors: P. Zhang, C. Wu, M. Peng, K. Zeng, D. Yu, Y. Lai, Y. Kang, W. Wang, Z. Wang
Presented at the 21st ACM/IEEE International Symposium on Code Generation …
Published in 2023
Citations: 5

SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks

Authors: B. Tang, C. Wu, Z. Wang, L. Jia, PC. Yew, Y. Cheng, Y. Zhang, C. Wang, …
Published in IEEE Transactions on Dependable and Secure Computing in 2022
Citations: 2

KOP-Fuzzer: A Key-Operation-based Fuzzer for Type Confusion Bugs in JavaScript Engines

Authors: L. Sun, C. Wu, Z. Wang, Y. Kang, B. Tang
Presented at the 2022 IEEE 46th Annual Computers, Software, and Applications Conference …
Published in 2022
Citations: 1

Using local clocks to reproduce concurrency bugs

Authors: Z. Wang, C. Wu, X. Yuan, Z. Wang, J. Li, PC. Yew, J. Huang, X. Feng, Y. Lan, …
Published in IEEE Transactions on Software Engineering in 2017
Citations: 1

Research Timeline

Zhe Wang’s research timeline reflects a consistent dedication to advancing knowledge in his field. Starting with his early contributions during his Ph.D., Zhe has continued to produce high-quality research outputs over the years. His work has evolved to address emerging challenges in computer architecture and security, with each publication contributing to the broader research landscape.

Collaborations and Projects

Zhe Wang has been actively involved in collaborations and projects aimed at pushing the boundaries of computer architecture and security. His research collaborations involve academia and industry partners, facilitating the exchange of ideas and expertise. Zhe has led and contributed to various projects that explore novel solutions to security challenges in computer systems, fostering innovation and advancement in the field.

Junlin Xu | Bioinformatics | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Assoc Prof Dr. Junlin Xu, Bioinformatics, Best Researcher Award

Associate Professor at Wuhan University of Science and Technology, China

JunLin Xu is an Associate Researcher at Wuhan University of Science and Technology, specializing in bioinformatics, deep learning, cancer genomics, and single-cell multi-omics analysis. They completed their Ph.D. in Computer Science and Technology at Hunan University, focusing on developing computational methods for analyzing biological data. With a strong interdisciplinary background, JunLin’s work bridges computer science, bioinformatics, and medicine, contributing to advancements in understanding complex biological systems and developing novel therapeutic strategies.

Author Metrics

Scopus Profile

Google Scholar Profile

JunLin Xu has an h-index of 12, indicating the impact and productivity of their research output. They have authored a significant number of publications, with a notable number of first-author and corresponding-author papers. This suggests a substantial contribution to the field of bioinformatics and computational biology.

Citations: 655 citations by 469 documents

Documents: 36

h-index: 14

Information:

Xu, Junlin is affiliated with Wuhan University of Science and Technology in Wuhan, China. Their research has garnered 655 citations across 469 documents, with an h-index of 14. They have authored 36 documents in total.

Education

JunLin Xu pursued their education in computer science and mathematics, obtaining a Bachelor’s degree in Mathematics and Applied Mathematics from Nanyang Institute of Technology, followed by a Master’s and Ph.D. in Computer Science and Technology from Hunan University. Their educational background provides a strong foundation for their research in computational biology and bioinformatics.

Research Focus

JunLin Xu’s research focuses on several key areas:

Bioinformatics: Developing computational tools and algorithms for analyzing biological data, particularly single-cell omics data.
Deep Learning: Exploring the application of deep learning techniques in bioinformatics and genomics research.
Cancer Genomics: Investigating the genomics of cancer, including the identification of biomarkers and therapeutic targets.
Single-Cell Multi-Omics: Studying the integration of multiple omics data at the single-cell level to gain insights into cellular heterogeneity and disease mechanisms.

Professional Journey

JunLin Xu started their professional journey as an Assistant Researcher at Hunan University, where they gained valuable experience in bioinformatics research. They then progressed to the role of Associate Researcher at the same institution before transitioning to their current position as an Associate Researcher at Wuhan University of Science and Technology. Throughout their career, JunLin has demonstrated a commitment to advancing bioinformatics and computational biology through innovative research and collaboration.

Honors & Awards

While specific honors and awards are not mentioned in the provided information, JunLin Xu’s significant contributions to the field of bioinformatics and computational biology likely garnered recognition from the scientific community. Their publication record and research impact reflect a high level of achievement and potential for future accolades.

Publications Noted & Contributions

JunLin Xu has made notable contributions to the field through a series of impactful publications, addressing various challenges in bioinformatics and genomics research. Their work includes the development of novel computational methods for analyzing single-cell RNA-seq data, drug repositioning strategies, disease association studies, and medical image segmentation. These publications have advanced our understanding of biological systems and have practical implications for disease diagnosis, treatment, and drug discovery.

“Drug repositioning based on tripartite cross-network embedding and graph convolutional network”

Authors: P Zeng, B Zhang, A Liu, Y Meng, X Tang, J Yang, J Xu
Published in: Expert Systems with Applications, 2024
Summary: This paper presents a novel approach to drug repositioning using tripartite cross-network embedding and graph convolutional networks. It proposes a method for leveraging heterogeneous data sources to predict potential drug indications and explore new therapeutic opportunities.

“scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery”

Authors: W Liu, Y Pan, Z Teng, J Xu
Published in: IEEE Journal of Biomedical and Health Informatics, 2024
Summary: This paper introduces scDMAE, a generative denoising model tailored for the recovery of single-cell RNA sequencing (scRNA-Seq) data. The model employs a mask strategy to effectively denoise noisy scRNA-Seq data, enhancing the quality of downstream analysis.

“Drug repositioning based on weighted local information augmented graph neural network”

Authors: Y Meng, Y Wang, J Xu, C Lu, X Tang, T Peng, B Zhang, G Tian, J Yang
Published in: Briefings in Bioinformatics, 2024
Summary: In this work, the authors propose a drug repositioning method that integrates weighted local information into a graph neural network framework. By augmenting the network with local information, the model improves the accuracy of drug repositioning predictions.

“Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism”

Authors: S Yang, M Jin, L Wang, C Lu, Y Meng, D Yan, Z Huang, J Xu
Published in: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Summary: This conference paper presents a method for medical image segmentation using dual branch networks with an embedded attention mechanism. The approach leverages attention mechanisms to improve the accuracy of segmentation tasks in medical imaging.

“Enhancing drug repositioning through local interactive learning with bilinear attention networks”

Authors: X Tang, C Zhou, C Lu, Y Meng, J Xu, X Hu, G Tian, J Yang
Published in: IEEE Journal of Biomedical and Health Informatics, 2023
Summary: This paper proposes a method for enhancing drug repositioning using local interactive learning with bilinear attention networks. By incorporating attention mechanisms, the model can capture complex relationships between drugs and diseases, improving the effectiveness of drug repositioning strategies.

Research Timeline

December 2021 – March 2023: Assistant Researcher at Hunan University
April 2023 – March 2024: Associate Researcher at Hunan University
April 2024 – Present: Associate Researcher at Wuhan University of Science and Technology

JunLin Xu’s research timeline highlights their progression from an assistant to an associate researcher, indicating their growing expertise and contribution to the field of bioinformatics and computational biology.

Collaborations and Projects

While specific collaborations and projects are not detailed in the provided information, JunLin Xu’s research likely involves collaborations with other researchers, both within their institution and internationally. Their multidisciplinary expertise suggests involvement in diverse projects aimed at addressing key challenges in bioinformatics, genomics, and medicine. These collaborations and projects contribute to the advancement of scientific knowledge and the development of innovative solutions for biomedical research and healthcare.

Ravibhai Bhola | Physical Chemistry | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Dr. Ravibhai Bhola, Physical Chemistry, Best Researcher Award

Doctorate at Ganpat University India

Dr. Ravibhai Bhola is an Assistant Professor in the Department of Chemistry at Ganpat University, with a Ph.D. in Chemistry from the same institution. He is a member of the American Chemical Society and actively participates in the National Service Scheme under the Ministry of Youth Affairs, Government of India. Dr. Bhola has garnered recognition for his research contributions, particularly in the fields of solubility, solution thermodynamics, and solid compound design. His academic journey spans over four years, during which he has established himself as a distinguished scholar through his publications, patents, and presentations at national and international conferences.

Author Metrics

Scopus Profile

ORCID Profile

Dr. Bhola’s research output is reflected in various author metrics, including his Orcid ID, Scopus Author ID, Web of Science ID, and Google Scholar profile. These metrics provide a comprehensive overview of his scholarly impact, facilitating access to his publications and citation metrics.

Citations: 19

Documents: 9

h-index: 3

Education

Dr. Bhola holds a Ph.D. in Chemistry from Ganpat University, where he conducted research focusing on solubility and solution thermodynamics. Prior to his doctoral studies, he achieved a Master of Science in Chemistry, graduating as a Gold Medalist from Kadi Sarva Vishwavidyalaya University. His academic journey began with a Bachelor of Science in Chemistry from Bahuddin Science College, Junagadh.

Research Focus

Dr. Bhola’s research primarily revolves around enhancing our understanding of solubility and solution thermodynamics, with a specific emphasis on addressing challenges such as low solubility and the development of selective and sensitive toxic solvents. His work aims to advance knowledge in these areas and drive innovations in crystallization, purification, production, and the design applications of solid compounds.

Professional Journey

Dr. Bhola’s professional journey encompasses roles as an Assistant Professor at Ganpat University, where he also serves as the Placement Coordinator for the Faculty of Science. Additionally, he is involved in various academic associations, including the American Chemical Society and the National Service Scheme under the Ministry of Youth Affairs, Government of India. He has participated in faculty development programs and has been actively engaged in research and academic activities for over four years.

Honors & Awards

Throughout his career, Dr. Bhola has received recognition for his academic achievements and contributions to the field of chemistry. He graduated as a Gold Medalist during his Master’s degree and has presented impactful research at national and international conferences. His dedication to scholarship has been acknowledged through various honors and awards, reflecting his commitment to excellence in research and academia.

Publications Noted & Contributions

Dr. Bhola has authored numerous research publications in reputable journals, including Elsevier, American Chemical Society, and Springer International Publishing. His research contributions span a wide range of topics, including solubility modeling, solution thermodynamics, and the synthesis of chemical compounds. These publications serve as a testament to his expertise and scholarly impact within the scientific community.

Title: Measurement, Correlation, and Thermodynamic Properties of the Solubility of Bisphenol Z (BPZ) in Nine Mono and (Tetrahydrofuran + 1-Propanol) Binary Solvents

Journal: Journal of Chemical & Engineering Data
Date: October 12, 2023
DOI: 10.1021/acs.jced.3c00234
Contributors: Rizwan Ghumara, Ankita Raijada, Karnav Patel, Vyomesh Parsana, Kedar Joshi, Ravibhai Bhola, Sabera Bijani, Vicky Jain, Chirag Patel

Title: Solubility and Thermodynamics Profile of Benzethonium Chloride in Pure and Binary Solvents at Different Temperatures

Journal: ACS Omega
Date: April 25, 2023
DOI: 10.1021/acsomega.2c07877
Contributors: Ravibhai Bhola, Rizwan Ghumara, Chirag Patel, Vyomesh Parsana, Keyur Bhatt, Dinesh Kundariya, Hasit Vaghani

Title: Solubility Modeling of a Bupivacaine Hydrochloride in Various Solvents over a Wide Temperature Range

Journal: Journal of Chemical & Engineering Data
Date: March 9, 2023
DOI: 10.1021/acs.jced.2c00741
Contributors: Ravibhai Bhola, Rizwan Ghumara, Chirag Patel, Keyur Bhatt, Sarika Patel, Jaymin Parikh, Ajay Desai, Hasit Vaghani

Title: Drug solubility and dissolution thermodynamic approach in various solvents at different temperatures: A review

Journal: Biointerface Research in Applied Chemistry
Date: 2022
DOI: 10.33263/BRIAC124.43744383
Contributors: Bhola, R.; Vaghani, H.; Bhatt, K.; Ghumara, R.

Title: An Investigation into the Solubility and Solution Thermodynamics of Cefpodoxime Proxetil in Different Solvents that Vary with Temperature

Journal: Chemistry Africa
Date: August 2022
DOI: 10.1007/s42250-022-00364-x
Contributors: Ravibhai Bhola, Hasit Vaghani, Keyur Bhatt, Jaymin Parikh, Rizwan Ghumara

Research Timeline

Dr. Bhola’s research journey has been marked by significant milestones, including the publication of research papers, participation in conferences, and the successful completion of academic projects. His timeline highlights the progression of his research interests and the evolution of his contributions to the field of chemistry over time.

Collaborations and Projects

Dr. Bhola has been involved in collaborative research projects aimed at addressing key challenges in chemistry. These projects often involve interdisciplinary approaches and partnerships with industry stakeholders, academia, and government agencies. His ongoing project, funded by GUNI-SSIP, focuses on the development of a versatile passive solar unit, demonstrating his commitment to practical applications of scientific research.

Nandlal Bhojraj | Pediatric dentistry | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Dr. Nandlal Bhojraj, Pediatric dentistry, Best Researcher Award

Doctorate at JSS Dental College and Hospital, India

Dr. Bhojraj Nandlal is a highly accomplished professional in the field of dentistry, specializing in pediatric and preventive dentistry. Currently serving as the Professor and Head of the Department of Pediatric Dentistry at JSS Dental College and Hospital in Mysore, India, Dr. Nandlal has made significant contributions to research, education, and clinical practice in dentistry.

Author Metrics:

ORCID Profile

Dr. Nandlal has a notable publication record, with contributions to various journals, conferences, and book chapters. They have a strong presence in academic databases like Scopus, reflecting the impact of their work within the dental community.

Education:

Dr. Nandlal pursued their Bachelor in Dental Surgery (BDS) from Annamalai University, Chidambaram, India, in 1984. They furthered their education with a Masters in Dental Surgery (MDS) in Pedodontics & Preventive Dentistry from Punjab University, Chandigarh, India, in 1989. Additionally, they have undergone specialized training in various aspects of dentistry and related fields, such as medico-legal law, orthodontics, hospital management, and computer basics.

Research Focus:

Dr. Nandlal’s research interests primarily revolve around pediatric dentistry, preventive dentistry, and oral health promotion strategies. They have conducted research on topics like the impact of fluoride varnish, salivary heme detection, microbial distribution in plaque, and the efficacy of various oral hygiene products and preventive programs.

Professional Journey:

Dr. Nandlal’s professional journey spans over several decades, starting as a Tutor at the College of Dental Surgery, Manipal, Karnataka, India, in 1986. They progressed through various roles such as Sr. Lecturer, Reader, Professor & Head, Principal, and Dean at JSS Dental College & Hospital, Mysore, India. Currently, they hold the position of Professor and Head of the Department of Pediatric Dentistry at the same institution.

Honors & Awards:

Throughout their career, Dr. Nandlal has received numerous honors and awards for their contributions to the field of dentistry. These include accolades such as Bronze Medalist from Punjab University, Bright Smiles & Bright Futures Award from Colgate International, Star Pedodontist Award from Indian Society of Pedodontics & Preventive Dentistry, and Fellowships from international and national dental societies.

Publications Noted & Contributions:

Dr. Nandlal has made significant contributions to the dental literature through their publications in journals, conference presentations, abstracts, and book chapters. Their research covers a wide range of topics including oral health promotion, preventive dentistry, pediatric dental care, orthodontics, and dental education.

Cervical and craniofacial morphology in asthmatic children: A cephalometric study

Journal: Journal of Oral Biology and Craniofacial Research
Year: 2024 (July)
DOI: 10.1016/j.jobcr.2024.05.003
Contributors: Prashanth S; B. Nandlal

Establishing Cephalometric Norms in Primary Dentition Using Comprehensive Craniofacial Growth Analysis – A Digital Cephalometric Study

Journal: Pesquisa Brasileira em Odontopediatria e Clínica Integrada
Year: 2023
DOI: 10.1590/pboci.2023.016
Contributors: Seema Deshmukh; Bhojraj Nandlal

Early Maxillary Dentoalveolar Changes in Children with Unilateral Cleft Lip and Palate After Palatal Repair: A Pilot Study

Journal: The Cleft Palate Craniofacial Journal
Year: 2022 (December)
DOI: 10.1177/10556656211053765
Contributors: Shreepriya Singhania; Nandlal Bhojraj

Influence of Various Desensitizing Mouthrinses and Simulated Toothbrushing on Surface Roughness and Microhardness of Tetric N-Ceram Bulk-Fill Resin Composite: An In Vitro Study and Scanning Electron Microscope Analysis

Journal: European Journal of Dentistry
Year: 2022 (October)
DOI: 10.1055/s-0041-1739547
Contributors: Paras Mull Gehlot; Parvathi Sudeep; Vinutha Manjunath; B.M. Annapoorna; L. Krishna Prasada; Bhojraj Nandlal

A randomized clinical study to examine the oral hygiene efficacy of a novel herbal toothpaste with zinc over a 6‐month period

Journal: International Journal of Dental Hygiene
Year: 2021 (November)
DOI: 10.1111/idh.12505
Contributors: B. Nandlal; Prem K. Sreenivasan; Pratibha Shashikumar; G. Devishree; Avinash Bettahalli Shivamallu

Research Timeline:

Over the years, Dr. Nandlal has been actively involved in various research projects, both externally and internally funded. These projects have focused on areas such as indigenous dental implants, oral hygiene programs in schools, clinical trials of dental products, prevalence studies, and dental health awareness campaigns.

Collaborations and Projects:

Dr. Nandlal has collaborated with national and international organizations, universities, and dental associations on research projects aimed at advancing dental care and education. They have mentored numerous master’s and PhD students in their research endeavors and have been involved in guiding dissertation research on various dental topics.

Natasha Nigar | Machine Learning | Best Researcher Award

Published on 27/05/202401/07/2024 by Invention Awards

Dr. Natasha Nigar, Machine Learning, Best Researcher Award

Doctorate at UET, Pakistan

Dr. Natasha Nigar is a highly accomplished computer scientist with a PhD in Computer Science from the University of Birmingham, UK, and extensive experience in academia, industry, and research. She currently serves as an Assistant Professor at the University of Engineering and Technology in Lahore, Pakistan. Her expertise spans various domains including software engineering, machine learning, artificial intelligence, and data science. Dr. Nigar is known for her contributions to peer-reviewed journals, conferences, and book chapters, as well as her active involvement in teaching and mentoring students.

Author Metrics:

Scopus Profile

Dr. Nigar has a prolific publication record, with numerous peer-reviewed journal papers, conference presentations, and book chapters to her name. Her research contributions are widely recognized in the academic community, as evidenced by her publication in prestigious journals and conferences. Additionally, her work has garnered attention through citations and collaborations with other researchers in the field.

Publications:

Nigar and Natasha have collectively authored 11 documents.

Citations:

Their work has received a total of 50 citations from 47 documents.

h-index:

The h-index, which measures both the productivity and impact of the publications, is 5. This means that they have at least 5 papers that have been cited at least 5 times each.

Education:

Dr. Nigar holds a PhD in Computer Science from the University of Birmingham, UK, earned in 2021. Prior to her doctoral studies, she completed her MSc and BSc in Computer Science at the University of Engineering and Technology in Pakistan. Her educational background has provided her with a solid foundation in computer science principles and methodologies, which she applies in her research and teaching endeavors.

Research Focus:

Dr. Nigar’s research focuses on several key areas within computer science, including:

Internet of Medical Things (IoMT) and healthcare systems
Software project scheduling and management
Deep learning and artificial intelligence applications
Image processing and classification algorithms
Agile methodologies and software quality assurance

Professional Journey:

Dr. Nigar’s professional journey encompasses both academic and industry roles. She has held positions as a software engineer, senior software quality assurance engineer, lab engineer, and research associate before transitioning to academia as an Assistant Professor. Her diverse experiences have shaped her expertise in various aspects of computer science, from practical software development to theoretical research and teaching.

Honors & Awards:

Throughout her career, Dr. Nigar has received recognition for her academic achievements and contributions to the field of computer science. Some notable honors and awards include:

Winner of the ‘Student Futures Competition’ at the University of Birmingham, UK
Travel grants to participate in prestigious conferences such as ICSE and SSBSE
Top positions in competitions and scholarships during her academic journey

Publications Noted & Contributions:

Dr. Nigar has made significant contributions to the body of knowledge in computer science through her publications in peer-reviewed journals, conferences, and book chapters. Her research papers cover a wide range of topics including IoT healthcare systems, software project scheduling, deep learning for image classification, and more. These publications demonstrate her expertise and impact in advancing the field of computer science through rigorous research and innovation.

Title: An Intelligent Framework Based on Deep Learning for Online Quran Learning during Pandemic

Authors: Nigar, N.; Wajid, A.; Ajagbe, S.A.; Adigun, M.O.
Journal: Applied Computational Intelligence and Soft Computing
Year: 2023
Volume: 2023
Pages: 5541699
Citations: 0

Title: A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem Based on Best Fit Skills Criterion

Authors: Nigar, N.; Shahzad, M.K.; Islam, S.; Oki, O.; Lukose, J.M.
Journal: IEEE Access
Year: 2023
Volume: 11
Pages: 89742–89756
Citations: 0

Title: IoMT Meets Machine Learning: From Edge to Cloud Chronic Diseases Diagnosis System

Authors: Nigar, N.; Jaleel, A.; Islam, S.; Shahzad, M.K.; Affum, E.A.
Journal: Journal of Healthcare Engineering
Year: 2023
Volume: 2023
Pages: 9995292
Citations: 7

Title: Multi-Objective Dynamic Software Project Scheduling: A Novel Approach to Handle Employee’s Addition

Authors: Nigar, N.; Shahzad, M.K.; Islam, S.; Oki, O.; Lukose, J.
Journal: IEEE Access
Year: 2023
Status: Article in Press
Citations: 4

Additionally, there is a book chapter authored by Ajagbe, S.A. and others, which includes contributions from Nigar: 5. Title: Cyber-Physical Systems Security: Analysis, Opportunities, Challenges, and Future Prospects

Authors: Awotunde, J.B.; Oguns, Y.J.; Amuda, K.A.; Olagunju, K.M.; Ajagbe, S.A. (includes contributions from Nigar, N.)
Book: Advances in Information Security
Year: 2023
Volume: 102
Pages: 21–46
Citations: 4
Abstract: [This link is disabled.]

Research Timeline:

Dr. Nigar’s research journey has evolved over the years, starting from her early contributions as a research associate and software engineer to her current role as an Assistant Professor. Her timeline includes milestones such as completing her PhD, presenting at international conferences, publishing in renowned journals, and receiving awards for her research achievements. This timeline reflects her dedication to continuous learning, innovation, and scholarly pursuits in computer science.

Collaborations and Projects:

Dr. Nigar has been actively involved in collaborations with other researchers, both within academia and industry. These collaborations have resulted in joint research projects, co-authored publications, and knowledge exchange initiatives. Through her partnerships, she has contributed to interdisciplinary research efforts and tackled complex challenges in areas such as healthcare, software engineering, and AI. Her collaborative approach underscores the importance of teamwork and knowledge sharing in advancing scientific discovery and innovation.

Aleka Melese | AI | Best Researcher Award

Published on 27/05/202431/05/2024 by Invention Awards

Mr. Aleka Melese, AI, Best Researcher Award

Aleka Melese at Ayalew University of Gondar, Ethiopia

Aleka Melese Ayalew is an Ethiopian male with a Master’s degree in Information Technology from the University of Gondar. He is currently employed as an Information Technology Lecturer and Researcher at the same university. With a strong academic background and expertise in artificial intelligence, machine learning, and deep learning, Aleka has made significant contributions to the field through his research and publications. He is proficient in both English and his mother tongue, Amharic.

Author Metrics:

ORCID Profile

Google Scholar Profile

Aleka Melese Ayalew has a prolific publication record, with over 12 articles published in reputable journals. His research spans various domains such as COVID-19 detection, disease classification, sentiment analysis, and more. He has also served as a peer reviewer for multiple journals, contributing to the academic community by critically evaluating research and providing constructive feedback.

Citations: Aleka’s publications have been cited a total of 119 times since 2019, indicating the influence and relevance of his research within the academic community.

h-index: With an h-index of 6 since 2019, Aleka has published at least 6 papers that have each been cited at least 6 times, demonstrating a consistent level of impact in his field.

i10-index: Aleka’s i10-index, which measures the number of publications with at least 10 citations, is 3 since 2019, indicating the presence of 3 papers with 10 or more citations during this period. This metric further underscores the significance of his research output.

Education:

Aleka Melese Ayalew holds a Bachelor of Science degree in Information Technology from Adigrat University, earned between 2014 and 2017. He further pursued his academic journey by obtaining a Master’s degree in Information Technology from the University of Gondar, completing it in 2021.

Research Focus:

Aleka’s research focuses primarily on artificial intelligence, machine learning, and deep learning, with applications in various domains such as healthcare (COVID-19 detection, disease classification), sentiment analysis, and IoT.

Professional Journey:

Aleka Melese Ayalew’s professional journey began in 2018 when he joined the University of Gondar as an Information Technology Lecturer and Researcher. Since then, he has been actively involved in course design, classroom instruction, research, article publication, mentoring, advising, assessment, and evaluation.

Honors & Awards:

Throughout his academic and professional career, Aleka has been recognized for his outstanding contributions. He has received awards for outstanding contributions during the Trachoma Control Program Impact Assessment and for good academic performance during his time at Adigrat University.

Publications Noted & Contributions:

Aleka has contributed significantly to the academic community through his publications. Notable contributions include research on COVID-19 detection, disease classification, sentiment analysis, and IoT applications. He has published over 12 articles in reputable journals and has also served as a peer reviewer for multiple journals.

Atelectasis detection in chest X-ray images using convolutional neural networks and transfer learning with anisotropic diffusion filter

Journal: Informatics in Medicine Unlocked

Year: 2024

DOI: 10.1016/J.IMU.2024.101448

Contributors: Aleka Melese Ayalew, Yohannes Agegnehu Bezabih, Biniyam Mulugeta Abuhayi, Asemrie Yemata Ayalew

Classification of pumpkin disease by using a hybrid approach

Journal: Smart Agricultural Technology

Year: 2024

DOI: 10.1016/J.ATECH.2024.100398

Contributors: Yohannes Agegnehu Bezabh, Biniyam Mulugeta Abuhayi, Aleka Melese Ayalew, Asegie, Habtamu Ayenew

Lumbar Disease Classification Using an Involutional Neural Based VGG Nets (INVGG)

Journal: IEEE Access

Year: 2024

DOI: 10.1109/ACCESS.2024.3367774

Contributors: Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew

X-ray image-based pneumonia detection and classification using deep learning

Journal: Multimedia Tools and Applications

Year: 2024

DOI: 10.1007/S11042-023-17965-4

Contributors: Asnake, Nigus Wereta; Salau, Ayodeji Olalekan; Aleka Melese Ayalew

Classification of Mango Disease Using Ensemble Convolutional Neural Network

Journal: Smart Agricultural Technology

Year: 2024 (May)

DOI: 10.1016/j.atech.2024.100476

Contributors: Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Biniyam Mulugeta Abuhayi, Tensay Nigussie Demlie, Eshete Ayenew Awoke, Taye Endeshaw Mengistu

Research Timeline:

Aleka Melese Ayalew’s research timeline reflects a continuous dedication to academic and professional growth. Starting from his undergraduate years in 2014, he progressed to obtain his Master’s degree in 2021. Throughout this journey, he has actively engaged in research, publication, and peer review activities.

Collaborations and Projects:

Aleka has collaborated with colleagues and researchers in various projects and conferences. Notable collaborations include working with Dr. Belay Enyew and Dr. Yelkal Mulualem at the University of Gondar. He has also participated in conferences such as the International Conference on Decision Aid Sciences and Applications and the Deep Learning Indaba Conference.