Samuel Habtegiorgis | Epidemiology Award | Excellence In Research

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Mr. Samuel Habtegiorgis, Epidemiology Award, Excellence In Research

Samuel Habtegiorgis at Debre Markos University, Ethiopia

Mr. Samuel Habtegiorgis is a dedicated professional with a strong background in public health, epidemiology, and nursing. He obtained his Master of Public Health in Epidemiology (MPHE) from Haramaya University (HU), Ethiopia, and his Bachelor of Science in Nursing (BSc) from Debre Birhan University (DBU), Ethiopia. Throughout his academic journey, Samuel has demonstrated a passion for improving healthcare outcomes and addressing public health challenges.

With extensive training in biostatistics, epidemiology, health services management, and research methodology, Samuel has developed a diverse skill set to tackle complex health issues. He is proficient in data analysis using software such as Stata, Sas, and R, and has a keen interest in conducting systematic reviews and meta-analyses to contribute valuable insights to the field of public health.

Profile:

Education:

Master of Public Health in Epidemiology (MPHE)

  • Institution: Haramaya University (HU), Harar, Ethiopia
  • Duration: July 2016 – July 2018
  • Subjects: Biostatistics, Epidemiology, Health Services Management, Global Health, Health Informatics, Health Promotion & Communication, Advanced Biostatistics, Advanced Epidemiology I & II, Database Management, Research Methods, Public Health Program Evaluation, Research Thesis Project

Bachelor of Science in Nursing (BSc)

  • Institution: Debre Birhan University (DBU), Debre Berhan, Ethiopia
  • Duration: October 2009 – June 2013
  • Subjects: Common and Basic Science courses, Basic public health courses, Nursing professional courses, Clinical courses, Student research project

Additional Training

  • Certification: Completion of Stata, Sas, and R software training
  • Institution: College of Health Sciences, Debre Markos University
  • Duration: February 16-24, 2018

Professional Experience:

Mr. Samuel Habtegiorgis has gained valuable professional experience in the field of public health and healthcare management. His professional journey includes roles in academia, research, and community health initiatives. Here is a summary of his professional experience:

Lecturer: Samuel has served as a lecturer in public health or related fields at an academic institution. In this role, he has contributed to the education and training of future healthcare professionals, delivering lectures, designing curriculum, and mentoring students.

Researcher: Samuel has actively engaged in research activities, focusing on epidemiology, biostatistics, and health services management. He has participated in various research projects, conducted data analysis, and contributed to scientific publications in peer-reviewed journals.

Community Health Initiatives: Samuel has been involved in community health initiatives aimed at improving health outcomes at the grassroots level. He has participated in capacity-building programs, provided training on healthcare topics, and conducted health education and awareness campaigns.

Leadership Roles: Samuel has demonstrated leadership abilities in his professional endeavors. He has taken on leadership roles within academic departments or research teams, coordinating activities, managing projects, and supervising team members.

Overall, Samuel’s professional experience reflects his dedication to public health research, education, and community engagement. He has contributed significantly to advancing knowledge in the field of epidemiology and healthcare management while also making tangible contributions to improving health outcomes in his community.

Research Interest:

Mr. Samuel Habtegiorgis is deeply engaged in multifaceted research endeavors within the realm of public health, epidemiology, and healthcare management. His research interests span several critical domains. Firstly, he delves into the intricacies of nutritional health, with a particular emphasis on understanding the prevalence and determinants of conditions such as anemia among diverse demographic groups, including adolescents and lactating mothers. Additionally, Samuel’s work extends to the realm of infectious diseases, where he investigates the transmission dynamics and associated factors of various infections, as evidenced by his studies on intestinal parasitic infections among school students. Furthermore, he is dedicated to maternal and child health, exploring factors influencing maternal well-being, such as food insecurity among lactating mothers, and analyzing child health indicators like survival rates and predictors of mortality. Samuel’s research methodology often includes community-based studies aimed at identifying localized health needs, cultural practices, and social determinants of health to inform tailored interventions. Moreover, his interests encompass chronic disease epidemiology, particularly focusing on stroke, where he examines survival rates and predictors of mortality to enhance healthcare delivery strategies. Beyond epidemiology, Samuel is interested in health policy analysis and healthcare management, aiming to evaluate existing policies and propose evidence-based recommendations for improving healthcare systems. Lastly, he explores the social and cultural determinants of health, investigating phenomena such as food taboos among specific populations to develop culturally sensitive health interventions. Through interdisciplinary approaches and community engagement, Samuel’s research endeavors strive to address diverse public health challenges, promote health equity, and contribute to the enhancement of healthcare delivery both within Ethiopia and beyond.

Publication Top Noted:

Prevalence and associated factors of anemia among adolescent girls in Ethiopia: A systematic review and meta-analysis

  • Authors: SD Habtegiorgis, P Petrucka, AT Telayneh, DS Getahun, L Getacher
  • Journal: PLoS One
  • Volume: 17
  • Issue: 3
  • Pages: e0264063
  • Year: 2022
  • Citations: 26

Prevalence of intestinal parasitic infection and its associated factors among primary school students in Ethiopia: A systematic review and meta-analysis

  • Authors: MA Assemie, D Shitu Getahun, Y Hune, P Petrucka, AM Abebe
  • Journal: PLoS Neglected Tropical Diseases
  • Volume: 15
  • Issue: 4
  • Pages: e0009379
  • Year: 2021
  • Citations: 24

Food insecurity and its predictors among lactating mothers in North Shoa Zone, Central Ethiopia: a community-based cross-sectional study

  • Authors: L Getacher, G Egata, YA Aynalem, A Molla, A Tesfaye, H Abebe
  • Journal: BMJ open
  • Volume: 10
  • Issue: 11
  • Pages: e040627
  • Year: 2020
  • Citations: 14

The survival status and predictors of mortality among stroke patients at North West Ethiopia

  • Authors: N Walelgn, GY Abyu, Y Seyoum, SD Habtegiorgis, MY Birhanu
  • Journal: Risk Management and Healthcare Policy
  • Pages: 2983-2994
  • Year: 2021
  • Citations: 9

Food taboos and associated factors among agro-pastoralist pregnant women: A community-based cross-sectional study in Eastern Ethiopia

  • Authors: T Mengie, Y Dessie, G Egata, T Muche, SD Habtegiorgis, L Getacher
  • Journal: Heliyon
  • Volume: 8
  • Issue: 10
  • Year: 2022
  • Citations: 8

Jingquan Li | Records | Best Researcher Award

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Dr. Jingquan Li | Records | Best Researcher Award

Associate Professor at Hofstra University, United States

Dr. Jingquan Li is a distinguished academic with a broad range of expertise in computer science, business administration, and information technology. Dr. Li’s academic journey includes a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, a Master of Science in Manufacturing Management from the College of Business and Innovation at the University of Toledo, and a Bachelor of Engineering in Computer Engineering from Xi’an Jiaotong University. With over a decade of experience in academia, Dr. Li has held various teaching positions, including Associate Professor at Hofstra University, Tenured Associate Professor at Texas A&M University-San Antonio, and Assistant Professor at both Texas A&M University-San Antonio and Texas A&M University-Kingsville. Dr. Li’s teaching portfolio includes a diverse range of courses such as Information Systems in Organizations, Business Analytics, and Data Mining and Text Mining.

Profile:

Education

Dr. Jingquan Li holds a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, earned in 2004. Prior to this, Dr. Li completed a Master of Science in Manufacturing Management at the College of Business and Innovation, University of Toledo, in 1997. Dr. Li’s academic journey began with a Bachelor of Engineering in Computer Engineering from the School of Electronic and Information Engineering at Xi’an Jiaotong University, obtained in 1987. Dr. Li’s educational background reflects a strong foundation in both business administration and computer science, with a focus on information systems, artificial intelligence, and data science.

Work Experience:

Dr. Jingquan Li has an extensive academic and professional background. Since September 2017, Dr. Li has served as an Associate Professor at Hofstra University in New York. Prior to joining Hofstra, from September 2010 to August 2017, Dr. Li held the position of Tenured Associate Professor at Texas A&M University-San Antonio in Texas. Before achieving tenure, Dr. Li was an Assistant Professor at Texas A&M University-San Antonio from September 2009 to August 2010 and at Texas A&M University-Kingsville from September 2004 to August 2009. Dr. Li’s academic positions are complemented by substantial professional experience as a Computer Engineer at the North China Institute of Computing Technology in Beijing, China, from 1987 to 1995. This combined background has equipped Dr. Li with a comprehensive understanding of both academia and industry, enriching their teaching and research endeavors.

Teaching Interest:

Dr. Jingquan Li’s teaching portfolio encompasses a wide array of courses focused on computer concepts and software tools in business. These include courses such as Information Systems in Organizations, Business Analytics, Database Management, Systems Analysis and Design, Big Data Management, Data Mining and Text Mining, Data Visualization, Machine Learning and Deep Learning, Enterprise Systems, Telecommunications and Networking, Information Security and Privacy, Cyber Security, Programming Languages, and Health Informatics. Dr. Li’s expertise in these areas is underpinned by their academic background and professional experience, making them a versatile and knowledgeable educator in the field of computer science and business administration.

Research Interest:

Dr. Jingquan Li’s expertise extends across a broad spectrum of specialized topics within the realm of computer science and business administration. Dr. Li’s proficiency includes Information Security and Privacy, Cybersecurity, Business Analytics, Big Data Management, Data Mining and Text Mining, Online Social Networks, Health Information Technology, AI Ethics, public health management and policy, and the Economics of Information Sharing. This diverse range of subjects underscores Dr. Li’s comprehensive understanding of the intersection between technology and business, making them a valuable resource in academia and beyond.

Research and Grants:

Dr. Jingquan Li has secured a diverse range of grants and research funding throughout their career, demonstrating a strong commitment to advancing knowledge in various fields. These include upcoming projects such as “The Health Benefits and Social Effects of Exercise Games” funded by the Agency for Health Research and Quality, as well as past endeavors like “Ensuring Privacy of Personal Health Records (PHRs): A Health Record Trust Architecture” funded by the Texas Area 41 Institute, where Dr. Li served as the Principal Investigator. Other notable projects led by Dr. Li include “Students’ and Faculty’s Perceptions of Hybrid Courses: A Comparative Study,” which received funding from the Texas A&M University-San Antonio Research Award in 2009-2010. Additionally, Dr. Li has been involved in projects such as “Privacy-Enhancing Data Mining” at Texas A&M University-Kingsville in 2007 and “Business Measurement for Fraud Detection with Privacy Protection” funded by KPMG LLP and the KPMG Foundation in 2004. Dr. Li’s collaborative efforts have also been recognized, as seen in projects like “On the Development and Quantification of Privacy-Enhancing Data Mining Methods” and “Supply Chain Management: A Multi-Agent Approach,” both of which were Research Board Award recipients at the University of Illinois, where Dr. Li served as a Co-Principal Investigator with Michael Shaw as the Principal Investigator. Another notable collaboration was with Motorola Inc. on “Information Technology for Managing Global Supply Chain Networks,” which was funded through the Motorola Manufacturing Systems Research Grant in 1999.

Awards and Honors:

Dr. Jingquan Li has been recognized with several prestigious awards and honors for their outstanding contributions to teaching and scholarship. In 2010, Dr. Li received the College of Business Faculty Excellence in Teaching Award from Texas A&M University-San Antonio, acknowledging their exceptional skills in educating students. Additionally, Dr. Li was twice honored with the College of Business Faculty Excellence in Scholarship Award, in both 2010 and 2009, highlighting their significant contributions to research and academic scholarship. Dr. Li’s dedication to excellence in academia is further underscored by the Seymour Sudman Award, which they received in 1999 and 1998. This award recognizes individuals who have demonstrated excellence in research methodology and survey statistics, reflecting Dr. Li’s commitment to advancing knowledge in their field. Furthermore, Dr. Li was the recipient of the College of Commerce Fellowship at the University of Illinois at Urbana-Champaign in 1998, further highlighting their academic prowess and dedication to scholarly pursuits.

 

Gowrishankar Shanmugaraj | Biotechnology

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Dr. Gowrishankar Shanmugaraj : Leading Researcher in Biotechnology

Department of Biotechnology, Science Campus, Alagappa University, India.

Congratulations, Dr. Gowrishankar Shanmugaraj, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Scopus, Orcid

Education:
  • B.Sc. April 2007 Microbiology First class,Kongu College of Arts &Science, Karur – 639 006
  • M.Sc. May 2009 Microbiology First class with Distinction, Bharathidasan University, Tiruchirappalli.
  • Post M.Sc., Diploma June 2010 Advanced Diploma in Molecular Diagnostics (ADMD), First class with Distinction Department of Biotechnology, Alagappa University, Karaikudi
  • Ph.D. December 2016 Biotechnology Highly Recommended Department of Biotechnology, Alagappa University.
Experience:
  • Eight Years Experience in Teaching.
  • Thirteen Years Experience in Research.
Publications & Research Achivements:
Awards:
  • 2019 Dr. APJ Abdul Kalam Award for Young Scientist Award – 2019 presented by MARINA LABS, Reserach & Development, Chennai.
  • 2022 Promising Researcher Award – 2022 presented by Alagappa University (on Sept 5th, 2022) in recognition of the contribution made towards ‘EXCELLENCE IN RESEARCH’
  •  2023 Appreciation Award – 2023 presented by Alagappa University for Outstanding Academic and Research Excellence in acquiring the Patent & Projects during the Academic Years through 2020-21 to 2022-23
  •  2023 Best Oral Presentation Award (secured First Position) in the International Conference of Algae: FOOD, FEED, FUELS & FINE CHEMICALS – ICA-F4 23 organised by the Department of Microbiology, Bharathidasan University, Trichy during September 06th to 8th, 2023.
Publications:
  • Jothi, R., Hong, ST., Enkhtsatsral, M., Pandian, S.K. and Gowrishankar, S*., 2023. ROS mediated anticandidal efficacy of 3-Bromopyruvate prevents vulvovaginal candidiasis in mice model. PLoS One [SanFrancisco, CA : Public Library of Science] [Impact Factor: 3.752] (Accepted)
  •  Sangavi, R., Muthumanickam, S., Malligarjunan, N., Jothi, R., Boomi, P., Arivudainambi S., Raman, M., Joshi, CG., Pandian, S.K. and Gowrishankar, S*., 2023. In silico analysis unravels the promising anticariogenic efficacy of fatty acids against dental caries causing Streptococcus mutans. Journal of Biomolecular Structure & Dynamics [Taylor & Francis] [Impact Factor: 5.2] doi.org/10.1080/07391102.2023.2283155
  • Karthika, C., Malligarjunan, N., Jothi, R., Kasthuri, T., Ravi, AV., Pandian, S.K. and Gowrishankar, S*., 2023. Two novel phages PSPa and APPa inhibit planktonic, sessile and persister populations of Pseudomonas aeruginosa, and mitigate its virulence in Zebrafish model. Scientific Reports [Springer Nature] [Impact Factor: 4.6] doi.org/10.1038/s41598-023-45313-x
  • Athulya, D., Sangavi, R., Gowrishankar, S., Kumar, R., Sankaralingam, M., 2023. Deciphering the Mechanism of MRSA Targeting Copper(II) Complexes of NN2 Pincer Type Ligands. Inorganic Chemistry. [Impact factor: 4.6] doi.org/10.1021/acs.inorgchem.3c02480
Conferences:
  • Gowrishankar, S., and Pandian, S.K., (2012). Inhibitory effect of coral-associatedbacterial extracts on methicillin-resistant and susceptible Staphylococcus aureus biofilms.Clinical Microbiology and Infection 18(S3): R2416 [Wiley, Paris] (Impact Factor 14.2). DOI: 10.1111/j.1469-0691.2012.03803.x
  • Pandian, S.K., and Gowrishankar, S., (2012). Molecular characterization of methicill inresistant Staphylococcus aureus with emergence of epidemic clone of sequence type (ST)772 and novel ST 2129 in southern India. Clinical Microbiology and Infection 18(S3): R2531 [Wiley, Paris] (Impact Factor 14.2). DOI: 10.1111/j.1469-0691.2012.03803.x.
  • Gowrishankar, S., Karthika, C., and Pandian, S.K., (2012). Understanding the proteome changes in Listeria monocytogenes upon treatment with marine cyclic dipeptide-cyclo(lleucyl-l-prolyl) Journal of Proteins and Proteomics, 9 (Special issue): JPP 95 [Impact Factor: 1.0].
Book Chapters:
  • Malligarjunan, N.,ψ, Sangavi, R ψ., and Gowrishankar, S*. (2023) Antibiofilm activity of Postbiotics. In: Dharumadurai D. (eds) “Protocol Book on POSTBIOTIC”. Springer Nature Publications. ψ Equally Contributed (Under Proof-reading by the Publisher)
  • Gowrishankar, S*., Kamaladevi, A., Pandian, S.K. (2022) MALDI-TOF Analysis of Actinobacterial Peptides with Respect to MASCOT Database. In: Dharumadurai D.(eds) Methods in Actinobacteriology. Springer Protocols Handbooks. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1728-1_36.
  • Jothi, R., Karthika, C., Kamaladevi, A., Satish, L., Pandian, S.K., and Gowrishankar, S*. CRISPR based bacterial genome editing and removal of pathogens. In: Reprogramming of the Genome: Applications of CRISPR-Cas in non-mammalian systems Volume 180, Vijaisingh (Ed.) [Elsevier Press, Cambridge MA]. Chapter 03.

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Biotechnology .

Award Manager,
Cybersecurity Awards,
International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com