Minkyung Lee | Analytics and Reporting | Best Researcher Award

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Minkyung Lee | Analytics and Reporting | Best Researcher Award

Ms Minkyung Lee Myongi Hospital, South Korea

Dedicated to advancing medical knowledge, she pursued a Doctor of Philosophy at the Catholic University of Korea from 2018 to 2022, following her master’s degree. With a focus on internal medicine, she completed a fellowship in Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital from 2013 to 2015. Transitioning into academia, she assumed the role of Assistant Professor at Myongji Hospital, Hanyang University College of Medicine, starting in 2015. Throughout her career, she has remained committed to internal medicine, specializing in endocrinology and metabolism, engaging in research and scholarly pursuits to enhance patient care and medical practices.

Education:

From 2002 to 2008, she pursued her graduation at Catholic Kwandong University College of Medicine. Following this, between 2015 and 2018, she undertook her Master of Medical Science degree at the Catholic University of Korea, specializing in the Department of Medicine. During this period, she delved deeper into her medical studies, honing her skills and knowledge in the field. Building upon her master’s degree, she continued her academic journey from 2018 to 2022, pursuing a Doctor of Philosophy at the Catholic University of Korea within the Department of Medicine. Throughout her doctoral studies, she engaged in rigorous research and scholarly endeavors, contributing to the advancement of medical knowledge and practices. Her dedication and commitment to academic and professional excellence are evident in her educational trajectory, spanning from undergraduate to postgraduate studies. With each milestone, she has demonstrated a profound commitment to her field, equipped with a wealth of knowledge and expertise to make meaningful contributions to the medical community.

šŸŒ Profile Links:

Experience:

From 2009 to 2013, she completed her residency at the Department of Internal Medicine in Myongji Hospital. Following her residency, she pursued a fellowship from 2013 to 2015 at the Department of Internal Medicine, specifically focusing on the Division of Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital. Building upon her fellowship training, she transitioned into an academic role, assuming the position of Assistant Professor in the Division of Endocrinology and Metabolism within the Department of Internal Medicine at Myongji Hospital, Hanyang University College of Medicine starting in 2015. Throughout her career trajectory, she has dedicated herself to the field of internal medicine with a specialization in endocrinology and metabolism. Her residency and fellowship experiences have equipped her with the necessary skills and knowledge to provide comprehensive care to patients while her current role as an Assistant Professor allows her to impart her expertise to medical students and residents. She continues to contribute to the advancement of medical knowledge and patient care within her institution, demonstrating a commitment to excellence in academic medicine.

Honors and Awards:

She achieved significant recognition for her research endeavors, including being honored with the 1st Young Excellent Abstract Award of JAS 2023, a testament to the quality and impact of her scholarly contributions. Her dedication and innovation in the field were further acknowledged through funding support from the NRF (National Research Foundation of Korea), evident in grants numbered 2022R1F1A061069 and 2021R1A2C2013890. These grants not only validated the merit of her research proposals but also provided vital resources to advance her investigations and make meaningful contributions to the scientific community. In addition to these prestigious accolades, she was also bestowed with the 2021 Myongji Hospital Excellent Study Award, underscoring her commitment to excellence in healthcare research. Through her diligent efforts and exemplary achievements, she has demonstrated exceptional promise and leadership in her respective field. Her receipt of these awards and funding underscores her outstanding capabilities as a researcher and her potential to further advance knowledge and innovation in her chosen area of study.

Publications:

  1. Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults Published By : 2024
  2. Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes Cited By : 1, Published By : 2023
  3. Type 2 Diabetes and Its Association With Psychiatric Disorders in Young Adults in South Korea Published By : 2023
  4. Effect of low-dose tadalafil once daily on glycemic control in patients with type 2 diabetes and erectile dysfunction: a randomized, double-blind, placebo-controlled pilot studyĀ Cited By : 5, Published By : 2022
  5. Factors Associated with Body Weight Gain among Korean Adults during the COVID-19 PandemicĀ  Cited By : 8, Published By : 2022
  6. Sodiumā€“Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Scoreā€“Matched Cohort Study. Diabetes Care 2021; 44:2419ā€“2426 Published By : 2021
  7. Changes in metabolic syndrome status affect the incidence of end-stage renal disease in the general population: a nationwide cohort study Ā Cited By : 8, Published By : 2021
  8. Sodiumā€“Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Scoreā€“Matched Cohort Study Cited By : 10, Published By : 2021
  9. Thyroid hormone profile and its prognostic impact on the coronavirus disease 2019 in korean patients Cited By : 16, Published By : 2021
  10. Weight change and microvascular outcomes in patients with new-onset diabetes: A nationwide cohort study Cited By : 8, Published By : 2021

Nor’ashikin Ali | Knowledge Management | Best Researcher Award

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Nor’ashikin Ali | Knowledge Management | Best Researcher Award

Assoc Prof Dr Nor’ashikin Ali Universiti Tenaga Nasional, Malaysia

She completed her PhD in Information Systems at Massey University in Palmerston North, New Zealand, in 2014. Her doctoral thesis focused on developing a Knowledge Management Systems Success Model for Healthcare. Since 2018, she has served as the Deputy Dean (Academic, Quality, and Student Affairs) at the College of Graduate Studies. In this role, she assists the Dean in providing leadership within the College, guiding planning, performance, and quality management initiatives. Her expertise in information systems and commitment to academic excellence contribute significantly to the advancement of graduate education and the overall success of the College. With a strong background in research and academic administration, she plays a pivotal role in shaping the future direction and success of graduate programs at her institution.

šŸŒ Profile Links:

Education:

She holds a PhD in Information Systems, which she earned from Massey University in Palmerston North, New Zealand, in 2014. Her doctoral research focused on developing a Knowledge Management Systems Success Model for Healthcare. Prior to her PhD, she completed a Master of Science Degree in Information Technology in Business (MSc. in IT in Business) from the University of Lincolnshire-Humberside in Hull, United Kingdom, in 1996. She began her academic journey with a Bachelor of Computer Science degree from Texas State University (formerly known as Southwest Texas State University) in San Marcos, Texas, USA, which she obtained in 1990. With her diverse educational background and expertise in information systems, she brings a wealth of knowledge and experience to her field.

Experience:

She has held several key roles within the College of Graduate Studies. From 2018 to the present, she serves as the Deputy Dean (Academic, Quality, and Student Affairs), where she assists the Dean in providing leadership and direction for college planning, performance, and quality management. Prior to this, from 2017 to 2018, she was the Head of IT & Teaching and Learning Unit, acting as the primary contact for prospective and current students regarding graduate program and university regulations, as well as admissions. From 2015 to 2017, she served as the Coordinator of the IT Postgraduate Programme, overseeing the management and coordination of IT postgraduate programs, including curriculum design, teaching assignments, timetabling, and procedural enhancements. Through these roles, she demonstrates her commitment to academic excellence and student success within the College of Graduate Studies.

Publications:

  1. Knowledge Management Systems Success in Healthcare: Leadership matters Cited By : 120, Published By : 2017Ā 
  2. A systematic literature review: Information security culture Cited By : 77, Published By : 2017Ā 
  3. A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective Cited By : 61, Published By : 2021
  4. An empirical study of the acceptance of IoT-based smart meter in Malaysia: The effect of electricity-saving knowledge and environmental awareness Cited By : 59, Published By : 2020
  5. An empirical study of the evolution of PHP MVC framework Cited By : 59, Published By : 2015
  6. The use of information technologies for knowledge sharing by secondary healthcare organisations in New Zealand Cited By : 56, Published By : 2012
  7. The moderating role of personal innovativeness and users experience in accepting the smart meter technology Cited By : 50, Published By : 2021
  8. User engagement and abandonment of mHealth: a cross-sectional survey Cited By : 44, Published By : 2022
  9. Predicting studentā€™s performance using machine learning methods: A systematic literature review Cited By : 40, Published By : 2021
  10. Factors influencing knowledge sharing in organizations: A literature review

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

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Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

AdnanĀ Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnanā€™s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCistā€™21 workshop (LCBUDAMLT), the session chair of the ICITAā€™22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATAā€™23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naĆÆve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

šŸŒ Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Suhad Abdallah | Statistics | Women Researcher Award

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Suhad Abdallah | Statistics | Women Researcher Award

Assist Prof Dr Suhad Abdallah King Khalid University, Saudi Arabia

With a Ph.D. earned in 2016 from Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade, she has demonstrated a strong academic foundation. Currently affiliated with King Khalid University, she has been involved in quantitative research methods, particularly focusing on applied statistics in media and communication during her tenure at Tabouk University from 1435 to 1436. Her dedication to statistical research underscores her commitment to contributing to the advancement of knowledge in her field.

Education:

She completed her Ph.D. in 2016 at Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade. Prior to that, she earned a Masterā€™s degree in applied statistics from Nile Valley University – Faculty of Graduate Studies in 2011. Her academic journey began with a Bachelorā€™s degree in Mathematics/Physics from Nile Valley University, Faculty of Science and Education, in 2004. With a solid foundation in mathematics and statistics, she is dedicated to advancing knowledge in her field through rigorous research and academic pursuits.

šŸŒ Profile Links:

Experience:

She has been actively engaged in teaching roles across various Saudi universities. From 1437 until the present, she has been contributing her expertise to King Khalid University. Prior to that, she taught at Tabouk University from 1435 to 1436, Najran University from 1434 to 1435, Hael University from 1433 to 1434, and Shaqra University from 1432 to 1433. Her extensive experience in academia demonstrates her commitment to education and her versatility in adapting to different academic environments.

Publications:

  1. Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa2Cu3O7/dielectric material as a 1D defective photonic crystal Published By : 2023

  2. MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect Published By : 2023

  3. Unravelling the conductivity behaviour of thermally stable Li2Oā€“ Bi2O3ā€“B2O3ā€“P2O5Ā glasses embedded with V2O5Ā  Published By : 2023

  4. Enhanced humidity sensing stability of Dy3+-doped Mg-Rb ferrites for room temperature operatable humidity sensor applications Published By : 2023

  5. First-principles calculations to investigate structural, electronic and magnetic anisotropy energy of ZnFe2O4 spinel ferrite for spintronics applications Published By : 2023

  6. NLO and white light emission in AuNPs reinforced Li2Oā€“Bi2O3ā€“B2O3ā€“P2O5 glasses: Role of surface plasmonic resonance AuNPs Published By : 2023

  7. On new diverse variety analytical optical soliton solutions to the perturbed nonlinear Schrƶdinger equation Published By : 2023

 

Karine Tremblay | Cohort studies | Best Researcher Award

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Karine Tremblay | Cohort studies | Best Researcher Award

Dr Karine Tremblay UniversitƩ de Sherbrooke, Canada

She is a Ph.D. specializing in complex trait genetic epidemiology, with a comprehensive skill set encompassing laboratory molecular genetics, biostatistics, and clinical research. Her contributions include identifying new genetic associations in asthma and co-authoring clinical studies in applied pharmacogenetics, notably with publications in NEJM. With expertise in coordinating over 10 clinical trials across various phases, she has established herself as a skilled investigator applying the highest clinical research standards. As an independent researcher, she has contributed to knowledge transfer on the barriers to pharmacogenomics implementation in clinical practice, evident in her work with focus groups of physicians, pharmacists, and patients.

šŸŽ“Education:

She embarked on her academic journey at UniversitĆ© du QuĆ©bec Ć  Chicoutimi, Canada, from September 1998 to May 2002, earning her Bachelor’s degree in Biology. Building on this foundation, she pursued her Master’s in Experimental Medicine at UniversitĆ© Laval, QuĆ©bec, from September 2002 to December 2004. Her academic journey continued at UniversitĆ© Laval, where she achieved her Ph.D. in Experimental Medicine from September 2004 to May 2009. Following her doctoral studies, she engaged in a postdoctoral fellowship in Applied Pharmacogenetics at the Centre de mĆ©decine gĆ©nique communautaire, affiliated with the UniversitĆ© de MontrĆ©al, from September 2009 to June 2014. Throughout her educational and postdoctoral endeavors, she demonstrated a commitment to advancing knowledge in the field of medicine.

šŸŒ Profile Links:

Awards and Honors:

Throughout her academic and research career, she has been recognized for her outstanding contributions and dedication. From June 2020 to June 2024, she was awarded the prestigious Chercheurs-boursier Junior 1 grant by the Fonds de recherche du QuĆ©bec – SantĆ© (FRQ-S), amounting to 295,451 CAD, acknowledging her excellence in translational research. Simultaneously, she served as a Trainee in the UnitĆ© de soutien SSA (SystĆØme de SantĆ© Apprenant) du QuĆ©bec, jointly appointed by FRQ-S, further showcasing her commitment to advancing healthcare knowledge. Her academic journey includes noteworthy postdoctoral training scholarships, including a renewal from FRQ-S in 2013/1-2014/6 and significant support from the Heart and Stroke Foundation of Canada (HSFC) from 2010/7-2012/12. She also received accolades such as the Best Scientific Presentation award in 2008/5 from RĆ©seau en MĆ©decine GĆ©nique AppliquĆ©e (RMGA) du FRQ-S and a Doctoral Scholarship from Fondation de l’UniversitĆ© Laval in 2007/5-2007/7. These accolades underscore her exceptional achievements and commitment to advancing scientific knowledge in the field of medicine.

Academic Positions:

Since June 2020, she has held the position of Assistant Professor on a Tenure Track at the UniversitƩ de Sherbrooke, located in Sherbrooke, Quebec, Canada. Within the esteemed Faculty of Medicine and Health Sciences, she specializes in Pharmacology-Physiology, contributing to the academic and research landscape. Her role as an Assistant Professor reflects her commitment to education and the pursuit of knowledge in the field. Building on this academic foundation, she expanded her contributions by becoming a Regular Researcher at the Institut de pharmacologie de Sherbrooke, further solidifying her presence in the vibrant research community of Sherbrooke, Quebec. In this capacity, she engages in impactful research endeavors, enhancing the understanding of pharmacology and contributing valuable insights to the scientific community. Her dual roles as an academician and researcher underscore her dedication to advancing both education and cutting-edge research in the field of pharmacology and physiology. Through her tenure-track position and research appointment, she continues to play a vital role in shaping the academic and scientific landscape at both the institutional and community levels.

Publications:

  1. Antisense inhibition of apolipoprotein C-III in patients with hypertriglyceridemia Cited By: 534, Published By: 2015
  2. Targeting APOC3 in the familial chylomicronemia syndrome Cited By: 464, Published By: 2014
  3. Efficacy and long-term safety of alipogene tiparvovec (AAV1-LPLS447X) gene therapy for lipoprotein lipase deficiency: an open-label trial Cited By: 452, Published By: 2013
  4. Review of the clinical development of alipogene tiparvovec gene therapy for lipoprotein lipase deficiency Cited By: 142, Published By: 2010
  5. Long-term retrospective analysis of gene therapy with alipogene tiparvovec and its effect on lipoprotein lipase deficiency-induced pancreatitis Cited By: 102, Published By: 2016
  6. Effect of the DGAT1 inhibitor pradigastat on triglyceride and apoB48 levels in patients with familial chylomicronemia syndrome Cited By: 99, Published By: 2015
  7. Replication of an association between 17q21 SNPs and asthma in a French-Canadian familial collection Cited By: 99, Published By: 2008
  8. Etiology and risk of lactescent plasma and severe hypertriglyceridemiaĀ Ā  Cited By: 71, Published By: 2011
  9. Association of urokinase-type plasminogen activator with asthma and atopy Cited By: 64, Published By: 2007
  10. Pharmacogenetic testing in primary care practice: opinions of physicians, pharmacists and patients Cited By: 62, Published By: 2019

 

Payam Ismael | Web Analytics and Metrics

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Payam Ismael – Leading Researcher in Web Analytics and Metrics

Ms Payam Ismael , a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar soran university, Iraq. His academic journey has been marked by a profound dedication to Autonomous Vehicles into Social Media and Digital Marketing applications.

Ā šŸ’¼ Work Experience:

During her professional journey, she underwent a comprehensive training program at LafargeHolcim-Iraq Co., where she dedicated three months in 2017 to enhance her skills in the concrete laboratory. Subsequently, she expanded her expertise by participating in a diverse training initiative at the Erbil Construction Laboratory, spanning three months in the same year. This program covered a spectrum of areas including concrete, materials, asphalt, and soil laboratories. Demonstrating her commitment to academic and professional growth, she engaged in a more extensive six-month research-oriented role at the Concrete Lab of Salahaddin University in 2022. Here, she contributed as a researcher, actively participating in concrete laboratory work, aligning with the requirements for the attainment of her MSc degree. Through these experiences, she not only acquired practical knowledge but also demonstrated her dedication to advancing her skills in the field.

šŸŒ Profile Links:

Ā šŸŽ“Education:Ā 

She embarked on an academic journey at Ishik University in Erbil, where she pursued her Bachelor’s degree in Civil Engineering from 2014 to 2018. During this time, she exhibited her commitment to academic excellence, achieving a GPA of 2.96 out of 4.0. Building upon her foundational knowledge, she furthered her education at Salahaddin University in Erbil, dedicating the years 2020 to 2022 to pursue a Master of Science (MSc) degree in Civil Engineering with a focus on Construction Materials. Her research, titled “Evaluating Bond Strength of Polymer Modified Cement Mortar Incorporated with Fibers for Adhesive and Repair Applications,” earned her a noteworthy mark of 86.6 out of 100. This academic endeavor reflects her dedication to advancing her expertise in civil engineering and construction materials.

šŸ“ŠDuties and Responsibilities:

  1. Provide Technical Support for the development and operation of proficiency testing programs in the field of construction material testing.
  2. Provide technical support and guidance on testing procedures, methods, and equipment.
  3. Prepare, characterize, handle, pack, and label proficiency testing items related to construction material testing, ensuring homogeneity, and stability.
  4. Ensure that proficiency testing items related to construction material testing are handled, stored, and transported in accordance with industry standards and regulations.
  5. Analyze and interpret proficiency testing results, and provide technical support to help participants understand the results.
  6. Providing technical support to participants to address any issues that may arise.
  7. Ensure periodic preventive maintenance and calibration of the identified
    equipmentā€™s and to ensure its execution.
  8. Ensuring that safety guidelines are adhered to at all times within the laboratory.
  9. Perform any other duties as assigned related to the development and implementation of proficiency testing programs in construction material testing.
  10. Perform any other duties as assigned related to the development and implementation of proficiency testing programs in construction material testing.

šŸ“š Publications:

  1. Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete https://doi.org/10.1016/j.conbuildmat.2023.132604
  2. Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength ofconcrete https://doi.org/10.1016/j.jobe.2023.106820
  3. Bond strength evaluation of polymer modified cement mortar incorporated with polypropylene fibers https://doi.org/10.1016/j.cscm.2022.e01387
  4. Innovative approaches to deflection analysis in strengthened reinforced concrete Slabs: Combining experiments and theoretical research https://doi.org/10.1016/j.istruc.2023.105440
  5. Geopolymer concrete: Properties, durability and applications DOI: 10.5937/ror2201063J
  6. A Review on Self-Healing ConcreteĀ https://doi.org/10.4028/p-52lej6

 

Pai Liu | Big data analysis and report

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Pai Liu – Leading Researcher in Big data analysis and report

Congratulations, Assist Prof Dr Pai Liu, on winning the esteemed BestĀ ResearcherĀ AwardĀ 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!

Assist Prof Dr Pai Liu, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Dalian University of Technology, China. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Big Data Analytics, Block Chain Technologies, Machine Learning into Social Media and Digital Marketing applications.

šŸ“š Education:

She earned her Doctor of Philosophy in Planning Design and the Built Environment from Clemson University, Clemson, SC, USA, with a dissertation titled “Culturally Sensitive Care Environment and Chinese Well-being: Investigating Senior Centers Designed for Chinese elders in the United States,” completed in May 2019. Prior to her Ph.D., she achieved a Master of Landscape Architecture from Clemson University in May 2015. Her academic journey began with a Bachelor of Science degree from Beijing Forestry University, Beijing, China, in June 2013.

šŸŽ“ ACADEMIC EXPERIENCE:

  • Postdoc
    • Department of Built Environment, Eindhoven University of Technology, Netherlands – 2023.03-Present
  • Assistant Professor (Tenure-track), Graduate Supervisor
    • School of Architecture and Fine Arts, Dalian University of Technology, China – 2020.09-Present
  • Lecturer
    • Division of Landscape Architecture, University of Oklahoma, USA – 08.2019-2020.07
  • Lecturer
    • Landscape Architecture Program, Clemson University, USA – 08.2017-05.2019
  • Design Researcher
    • Institute of Engaged Aging, Clemson University, USA – 03.2018-05.2019
  • Design Researcher
    • Clemson Downs Retirement Center, USA – 02.2017-12.2018

šŸŒ Profile Links:

šŸ“š PUBLICATIONS:

  • Liu, P., Song, Y., Zou, QJ., Tang, J., Fernandez, J. (2023). Environmental Press of Urban Greenspace Pre-Post COVID on Older Adults: A Big Data Study in Metropolitan Atlanta. Cities, accepted on December 1st, 2023. doi: 10.2139/ssrn.4423042.
  • Sun, P., Liu, P., Song, Y. (2023). Seasonal variations in urban park characteristics and visitation patterns in Atlanta: A big data study using smartphone user mobility. Urban Forestry & Urban Greening, https://doi.org/10.1016/j.ufug.2023.128166.
  • Liu, P., Liu, JD., Fernandez, J., Zou, QJ., Lin, MF. (2023). Positive affect and natural landscape in virtual reality: A systematic review comparing interventions, measures, and outcomes. Journal of Environmental Psychology, 88 (102011), doi.org/10.1016/j.jenvp.2023.102011.
  • Fernandez, J., Song, Y., Padua, M., Liu, P. (2022). A framework for urban parks: Using social media data to assess Bryant Park, New York. Landscape Journal, 41(1), 15-24. doi: 10.3368/lj.41.
  • Liu, P., Powers, M., Dye, C., Vincent, E., & Padua, M. (2021). Walking in Your Culture: A Study of Culturally Sensitive Outdoor Walking Space for Chinese Elderly Immigrants. HERD: Health Environments Research & Design Journal, 14(3), 247ā€“257. doi/10.1177/1937586720985885

šŸŽ™ļø INVITED PRESENTATIONS:

  • Liu, P. (2021) The application of virtual reality in the aging friendly environments. China-Indonesia-Singapore-Japan-Korea Pacific West Coast Cloud Academic Forum, 2021
  • Liu, P. (2022) Systematic Review of Distinct Virtual-Environment Interventions on the Emotional Change of Older Adults. Dalian University of Technology-Institut Teknologi Sepuluh Nopember Architecture Forum, 2022
  • Liu, P. (2020) Comparison of aging care environment preferences in China and the United States. Xing Hai Forum, Dalian, China

šŸ” CONFERENCE PROCEEDINGS:

  • Mini Systematic Review of the Influences of Diverse Virtual-Environment Interventions on the Emotional Change of Older Adults. Liu,P., Lin,MF,. Environmental Design Research Association (EDRA); Individual Presentation; Greenville, SC from June 1-4, 2022
  • Interpreting Heatmaps with Coordinate System: A New Method to Analyze Visual Preference. Liu, P. Environmental Design Research Association (EDRA); Individual Presentation; Tempe AZ. April 4 -7, 2020.
  • Design with Culture: A Framework to Inform the Design and Research of Culturally Sensitive Care Environment. Liu, P. Powers, M. Padua, M. Dye, C.J. & Vincent, E. Environmental Design Research Association (EDRA); Individual Presentation; Brooklyn, New York: May 2019

šŸ† TEACHING AWARDS:

  • Second Prizeā€”2022 Teaching Competition for Young Teachers in Dalian University of Technology (best result so far for School of Architecture and Fine Arts)
  • Third Prizeā€”2022 Teaching Competition of Integrating Curriculum Ideology into Courses in Dalian University of Technology

šŸŽ“ STUDENT AWARDS:

  • First Prizeā€”Chinese Landscape Architecture Graduate Works Exhibition
    • Wu Yuming, Yan Xinhang, Wang Yuxuan, Li Chengtao Zheng, Yujin, Zheng Kai
    • Pai Liu (Primary Instructor)-2023
  • Golden Prizeā€”China International Landscape Planning and Design Competition
    • Wang Yuxuan, Yan Xinhang, Wu Yuming, Zheng Kai, Zheng Yujin, Li Chengtao
    • Pai Liu (Primary Instructor)-2023
  • Awards of Excellenceā€”China Habitat Environment Design Year Award
    • Yan Xinhang, Wu Yuming, Wang Yuxuan, Zheng Kai, Zheng Yujin, Li Cheng

 

Surya Teja Chavali | Computer Vision

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Surya Teja Chavali – Leading Researcher in Computer Vision

Congratulations, Mr Surya Teja Chavali, on winning the esteemed BestĀ ResearcherĀ AwardĀ 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!

Mr Surya Teja Chavali, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amrita Vishwa Vidyapeetham India. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Computer Vision into Social Media and Digital Marketing applications.

šŸŽ“ Education:

  • Amrita Vishwa Vidyapeetham Bengaluru, India
    • B. Tech | Computer Science (Artificial Intelligence)
    • GPA: 8.01
    • July 2019 – Present
  • Sri Chaitanya Jr. College Hyderabad, India
    • Intermediate / +2 | Mathematics, Physics, Chemistry
    • GPA: 92.5%
    • April 2017 – May 2019
  • Delhi Public School Hyderabad, India
    • High School (Matriculation)
    • GPA: 9.6
    • June 2016 – May 2017

šŸ‘Øā€šŸ’¼ Experience:

  • GE Digital | Digital Technology Intern
    • Location: Hyderabad
    • January 2023 – Present
      • Responsible for Dockerizing and cluster management for Enterprise level applications.
      • Developed Computer Vision based solutions for easy integrations of add-on features in the product, enhancing the product experience and reducing manual labor time.
  • Siemens | Research Software Intern
    • Location: Bengaluru
    • April 2022 – June 2022
      • Worked on creating a Q/A application by extracting Tabular, Image, and Textual data from product webpages and PDFs using tools such as ‘Tabula,’ ‘Pdfminer,’ ‘Fitz,’ and ‘Camelot’ in Python.
      • Deployed extracted data onto the Elastic Search cloud using Python.
  • Samsung R & D Institute | Research Intern
    • Location: Bengaluru
    • Sept 2021 – April 2022
      • Used Scikit ā€“ Learn Package in Python to develop a classification model using Decision Tree Classifier to identify Hand Gestures based on raw sensor data.
      • Designed the entire Android app backend in Android Studio, reducing recognition latency from 7 seconds to <1 second by creating and loading the ML model on the fly.

šŸ“š Publications:

  • Smart Facial Emotion Recognition With Gender and Age Factor Estimation (ICMLDE 2022)
  • A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines (13th ICCCNT 2022)
  • Modelling a Reinforcement Learning Agent For Mountain Car Problem Using Q ā€“ Learning With Tabular Discretization (MYSURUCON 2022)
  • Comparative Study of Image Encryption and Image Steganography using Cryptographic Algorithms and Image Evaluation Metrics (ISIC 2022)
  • Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm (ACCAI 2022)

šŸ’» Skills:

  • General: Software Engineering, Machine Learning, App Development
  • Programming Languages: Java, Python, MATLAB
  • Tools / Frameworks: Docker, Kubernetes, Spring Boot, Android Studio, OpenCV, TensorFlow

šŸš€ Projects:

  • Fatigue Monitoring in Continuous Speech for Air Traffic Control Stations
    • Collected an authentic dataset- Chinese ATC speech samples from IEEE dataport.
    • Worked on OpenSMILE Interspeech feature set (MFCCs, Statistical, Energy, Kurtosis).
    • Implemented Data Pre-processing and Data Augmentation techniques.
    • Created various ML and DL classifiers in Python, achieving an overall best accuracy of 99.47% with a 1D-CNN model.
  • Real-Time Rock-Paper-Scissor Game Playable Robot using Reinforcement LearningĀ 
    • Developed a Q-Learning Agent in Python for accurate detection of the user’s move pattern against the robot.
    • 3D printed a human-like palm, controlled finger movements using Servo Motors connected to Arduino.
    • Developed a DL Model to recognize the user’s move through live video and fed it to the agent.

šŸŒ Profile Links:

 

Developing a Social Media Strategy

Posted on by ScienceFather

Introduction of Developing a Social Media Strategy

Developing a social media strategy is a crucial undertaking for businesses, organizations, and individuals looking to harness the power of social media effectively. A well-crafted social media strategy aligns your goals, target audience, and content with the platforms and tactics that will best engage and connect with your intended audience. It is the roadmap that guides your online presence and helps you achieve your objectives.

Developing a Social Media Strategy:

Audience Research and Persona Development:

Analyzing your target audience's demographics, interests, and behaviors to create detailed personas that inform content creation and targeting strategies.

Platform Selection and Optimization:

Identifying the most suitable social media platforms for your brand or objectives, optimizing profiles, and tailoring content to each platform's unique audience and features.

Content Strategy and Calendar Planning:

Creating a content strategy that outlines the type of content, posting frequency, and content calendar to maintain a consistent and engaging online presence.

Engagement and Community Building:

Strategies for fostering engagement, building a loyal online community, and leveraging user-generated content to strengthen brand affinity.

Metrics and Performance Measurement:

Defining key performance indicators (KPIs), tracking metrics, and using analytics tools to evaluate the effectiveness of your social media strategy and make data-driven improvements.

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