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.

🌐 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 study Cited By : 5, Published By : 2022
  5. Factors Associated with Body Weight Gain among Korean Adults during the COVID-19 Pandemic  Cited By : 8, Published By : 2022
  6. Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–Matched Cohort Study. Diabetes Care 2021; 44:2419–2426 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  Cited By : 8, Published By : 2021
  8. Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–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

Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

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Dondapati Rajendra Dev | Machine Learning | Best Researcher Award

Mr Dondapati Rajendra Dev Vignan’s Institute of Engineering for Women, India

He has been serving as an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018. In his current role, he thrives in an innovative and challenging environment, where he continually enhances his skills and knowledge. With a dedication to growth and development, he actively contributes to the educational journey of his students while also seeking opportunities for personal and professional advancement. His commitment to excellence and passion for teaching make him a valued member of the academic community, where he aims to inspire and empower the next generation of engineers.

Education:

He is currently pursuing a Ph.D. in Image Processing at Annamalai University, having enrolled on December 10, 2019. Prior to this, he completed his M.Tech in Software Engineering from GITAM Institute of Technology in 2014, achieving a commendable first-class with a grade of 81.4%. His academic journey began with a Bachelor’s degree in Computer Science Engineering from Sri Sivani College of Engineering in 2010, where he also secured a first-class with a percentage of 65.24%. Before his undergraduate studies, he successfully completed his Intermediate education in Mathematics, Physics, and Chemistry from Sri Chaitanya College in 2006, again obtaining a first-class with a percentage of 82.50%. His academic excellence traces back to his schooling at Little J.K Public School, where he completed his SSC with distinction, securing a first-class with a grade of 78.0% in 2004. Throughout his educational endeavors, he has demonstrated a strong commitment to excellence and a thirst for knowledge.

🌐 Profile Links:

Experience:

He has been an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6, 2018, bringing with him a wealth of experience and expertise. Prior to his current position, he served as an Assistant Professor at Sanketika Institute of Technology and Management from July 26th, 2017, to September 4th, 2018, where he honed his teaching skills and contributed to the academic community. Before that, he held a similar role at Sri Sivani College of Engineering from October 10th, 2014, to May 31st, 2017, where he played a key role in shaping the educational experience of his students. Additionally, he gained valuable industry experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD (DILSUKHNAGAR, HYDERABAD) from September 2010 to May 2012, where he developed his technical skills and understanding of software engineering principles. Throughout his career, he has demonstrated a strong commitment to education and professional growth, continuously seeking new opportunities to enhance his knowledge and skills.

Workshops:

He has actively participated in various national and international workshops and webinars, showcasing his dedication to staying updated with advancements in his field. In April 2021, he attended a National Webinar on Applications of Artificial Intelligence-Across Industry Domains by Vignan’s Foundation for Science, Technology and Research in Guntur. Following this, in May 2021, he participated in a National Webinar on Methods and Techniques for Privacy Preserving in Blockchain. In June 2021, he attended another national webinar on Rough Set Theory and Its Applications. Continuing his pursuit of knowledge, he joined a National Webinar on Research Challenges on Internet of Things in July 2021. In August 2020, he engaged in an International Workshop on Deep Learning conducted by BITS Pilani Hyderabad campus. Additionally, he enriched his skills by attending workshops on Latex-A Scientific Documenting Tool and Data Analytics using Excel conducted in May and 2020, respectively. These experiences reflect his commitment to continuous learning and professional development in the fields of technology and research.

Publications:

  1. Uncertainty determination and reduction through novel approach for industrial IOT Published By : 2024

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

🌐 Profile Links:

Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAV’s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

 

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

Adnan 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. Adnan’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 WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’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 naïve 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.

🌐 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

 

Abdulbaghi Ghaderzadeh | Future analysis | Member

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Abdulbaghi Ghaderzadeh | Future analysis | Member

Dr Abdulbaghi Ghaderzadeh Islamic AZAD University, sanandaj Branch, Iran

With a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, and a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, he is an accomplished academic with a passion for computer science. His expertise extends to lecturing in computer science at various esteemed universities in Saudi Arabia, such as King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. At Islamic Azad University, he has demonstrated his proficiency in teaching advanced topics including operating systems, distributed systems, database systems, and software engineering. His dedication to education and his depth of knowledge make him a valued asset in the field of computer science and engineering.

Education:

He holds a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, complemented by a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, and a Bachelor of Science in Computer Science from the University of Tabriz, Tabriz. His academic journey is underscored by notable theses, including his Ph.D. thesis on “Management of Distributed System Performance based on Local Information,” his Master’s thesis on “Personalization of Search Engines as a Way to Improve Their Performance,” and his Bachelor’s thesis on “System File Security in Unix and Windows Operating Systems.” With several papers published in prestigious journals and conferences such as Telecommunication Systems, Journal of Network and Computer Applications, and Journal of Advances in Computer Research, he has contributed significantly to the field of software engineering and information technology.

🌐 Profile Links:

Experience:

He has served as a Lecturer of Computer Science across multiple esteemed universities in Saudi Arabia, namely King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. His professional background extends to designing and implementing software solutions for diverse organizations, ranging from container systems for shipbuilding to educational portals for universities. With extensive teaching tenure at Islamic Azad University, he has delivered courses covering advanced topics such as operating systems, distributed systems, database systems, and software engineering. Furthermore, his teaching portfolio includes instructing computer literacy and programming tailored for medical and laboratory sciences at Kurdistan University of Medical Sciences.

Honors and Awards:

Received awards for designing educational portals and supervising student teams, Abdulbaghi Ghaderzadeh has been recognized for contributions to student olympiads and academic festivals. Overall, he possesses a robust academic background and extensive experience in teaching, research, and software engineering. His significant contributions to the field are evident through his publications, teaching endeavors, and practical projects.

Publications:

  1. A fuzzy approach for optimal placement of IoT applications in fog-cloud computing Cited By : 23, Published By : 2022
  2. ReDePoly: reducing delays in multi-channel P2P live streaming systems using distributed intelligence  Cited By : 10, Published By : 2018
  3. Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments Cited By : 9, Published By : 2021
  4. A Multi-Objective online streaming Multi-Label feature selection using mutual information Cited By : 8, Published By : 2023
  5. Infred: intelligent free rider detection in collaborative distributed systems Cited By : 6, Published By : 2017
  6. A novel hybrid medical data compression using huffman coding and LZW in IoT Cited By : 5, Published By : 2022
  7. Improving Ranking Persian Subjects in Search Engine Using Fuzzy Inference System Cited By : 4, Published By : 2013
  8. HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks Cited By : 3, Published By : 2021
  9. Offering a Demand-Based Charging Method Using the GBO Algorithm and Fuzzy Logic in the WRSN for Wireless Power Transfer by UAV Cited By : 2, Published By : 2023
  10. DisTriB: Distributed trust management model based on gossip learning and Bayesian networks in collaborative computing systems Cited By : 2, Published By : 2016

 

 

Alaa Sheta | Artificial Intelligence | Best Researcher Award

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Alaa Sheta | Artificial Intelligence | Best Researcher Award

Prof Dr Alaa Sheta Southern Connecticut State University, United States

He earned his Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, completing his studies from August 1994 to August 1997. His dissertation, titled “Identification and Control of Dynamical Systems Using Genetic Algorithms,” reflects his expertise in artificial intelligence, machine learning, and computational intelligence. During his academic journey, he worked under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. With a diverse range of research interests, his contributions span across data science, digital image processing, data mining, software engineering, software reliability modeling, software cost estimation, identification and control, autonomous systems, robotics, information systems, computer vision, and computer architecture. His comprehensive knowledge and research in these domains showcase his dedication to advancing technology and understanding complex systems.

Education:

He holds a Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, where he conducted groundbreaking research on “Identification and Control of Dynamical Systems Using Genetic Algorithms” from August 1994 to August 1997, under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. Prior to his doctoral studies, he earned an M.Sc. from the Electronics and Communication Engineering Department at Cairo University, Cairo, Egypt, specializing in “Robust Controller Design of Large Scale Uncertain Dynamical Systems” from August 1989 to August 1994, under the guidance of Prof. Mohamed F. Hassan. His academic journey began with a B.E. from the same department at Cairo University, covering the period from August 1983 to July 1988. His educational background reflects a deep commitment to advancing knowledge in the fields of information technology, engineering, and control systems.

🌐 Profile Links:

Experience:

He currently holds the position of Tenured Professor in the Computer Science Department within the College of Arts and Sciences at Southern Connecticut State University since the fall of 2022. Prior to this, he served as an Associate Professor in the same department from the fall of 2019 to the fall of 2021. His academic journey includes roles as an Assistant Professor and later as a Professional Assistant Professor in the Department of Computing Science at Texas A&M University-Corpus Christi, where he contributed from 2017 to the summer of 2019 and from 2016 to 2017, respectively. Before joining Texas A&M, he served as a Professor and Department Chair in the Computers and Systems Department at the Electronics Research Institute (ERI) under the Ministry of Scientific Research in Cairo, Egypt, from 2015 to 2016. His extensive experience and leadership roles underscore his commitment to advancing computer science education and research.

Honors and Awards:

He is a distinguished professional with a wealth of accomplishments in the field of technology and research. Holding the title of IEEE Senior Member since Fall 2021, he has made significant contributions to the realm of sleep apnea diagnosis, garnering attention for his innovative work. The Southern News featured his pioneering approach in an article titled “Sleep Apnea Diagnosis Simplified” on November 5, 2021, highlighting the impact of his research. His expertise extends to machine learning and AI-based applications for efficient sleep apnea diagnosis, as showcased in a YouTube interview on October 25, 2021, and an insightful session at the Future Technology Conference on November 26, 2019. Notably, he received the Best Paper Award at the 2nd International Conference Europe Middle East & North Africa Information Systems and Technologies (EMENA-ISTL2018) in Fez, Morocco, in October 2018. His accolades also include the Best Citation Prize from Taif University in 2013 and the Best Poster Award at the SGAI International Conference on Artificial Intelligence in Cambridge, UK, in December 2011. With a rich history as a visiting scientist at esteemed institutions such as Tennessee Technological University (TTU) and DeMontfort University, he continues to make groundbreaking contributions to the intersection of technology and healthcare.

Publications:

  1. A mobile robot path planning using genetic algorithm in static environment Cited By : 317, Published By : 2008
  2. Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects Cited By : 205, Published By : 2006
  3. A comparison between regression, artificial neural networks and support vector machines for predicting stock market index Cited By : 180, Published By : 2015
  4. Time-series forecasting using GA-tuned radial basis functions Cited By : 143, Published By : 2001
  5. A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm Cited By : 137, Published By : 2021
  6. Image enhancement using particle swarm optimization Cited By : 107, Published By : 2007
  7. Prediction of software reliability: A comparison between regression and neural network non-parametric models Cited By : 104, Published By : 2001
  8. Business Intelligence and Performance Management – Theory, Systems and Industrial Applications Cited By : 90, Published By : 2013
  9. Development of software effort and schedule estimation models using soft computing techniques Cited By : 81, Published By : 2008
  10. Energy optimization in wireless sensor networks using a hybrid k-means PSO clustering algorithm Cited By : 80, Published By : 2016

 

 

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 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!

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.

📚 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.

🎓 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

🌐 Profile Links:

📚 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), 247–257. doi/10.1177/1937586720985885

🎙️ 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

🔍 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

🏆 TEACHING AWARDS:

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

🎓 STUDENT AWARDS:

  • First Prize—Chinese Landscape Architecture Graduate Works Exhibition
    • Wu Yuming, Yan Xinhang, Wang Yuxuan, Li Chengtao Zheng, Yujin, Zheng Kai
    • Pai Liu (Primary Instructor)-2023
  • Golden Prize—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 Excellence—China Habitat Environment Design Year Award
    • Yan Xinhang, Wu Yuming, Wang Yuxuan, Zheng Kai, Zheng Yujin, Li Cheng

 

Paulraj D | Big Data Analytics, Block Chain Technologies, Machine Learning

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Dr Paulraj D –  Leading Researcher in Big Data Analytics, Block Chain Technologies, Machine Learning

Congratulations, Dr Paulraj D, 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!

Dr Paulraj D, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar University of Florida, United States. 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.

👩‍🏫 Professional Summary:

Dedicated and student-centered Professor with expertise in Service Oriented Architecture (SOA) and Artificial Intelligence (AI) – Machine Learning, Deep Learning, Cloud Computing, and Big Data. A committed and engaging educator, recognized for exceptional lecturing skills in Computer Science and Engineering subjects. Commended for sustaining effective learning environments through well-prepared classes, relevant assignments, and consistently achieving classroom management and academic goals. An intelligent and charismatic educator committed to helping students accomplish their academic goals.

🌐 Profile Links:

🔍 Skills:

  • Faculty Communication
  • Curriculum and Syllabus Planning and Development
  • Technology-based Curriculum Development
  • Board of Study Member
  • Performance Assessment
  • Classroom Management
  • Academic Research and Analysis
  • Student Research Guidance
  • Online Learning Tools
  • Thesis Advisement
  • Student Counseling

📚 Education:

In pursuit of academic excellence and a profound understanding of Computer Science and Engineering, I earned my Ph.D. from Anna University, Chennai, India, in 2012. Building upon this foundation, I obtained a Master’s degree (M.E.) in Computer Science and Engineering from Anna University in 2004, further enriching my knowledge and expertise in the field. My educational journey began with a Bachelor’s degree (B.E.) in Computer Science and Engineering from Bangalore University, Bangalore, India, in 1993. These educational milestones collectively reflect my enduring commitment to advancing my skills and knowledge in the dynamic realm of Computer Science and Engineering.

👩‍🎓 Experience:

  • Professor (Jun 15, 2022 – Present): Department of Computer Science and Engineering, R.M.K Engineering College (NAAC A+), Chennai, India.
  • Professor & Head of the Department (Nov 23, 2016 – Jun 15, 2022): Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India.
  • Professor (Nov 2012 – Nov 2016): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Associate Professor (Jun 2009 – Nov 2012): Department of Information Technology, R.M.D Engineering College, Chennai, India.
  • Software Engineer (Jul 1995 – Aug 2001): Geosoft Technologies (TVM), Ltd., Technopark, Trivandrum, India.
  • Software Engineer (Oct 1993 – Jun 1995): Al Nimar Enterprises, Muscat, Sultanate of Oman.

🏆 Accomplishments:

Being a dedicated member of the Internal Quality Assurance Cell reflects my commitment to fostering excellence in every aspect of our institution’s functioning. In the capacity of the NIRF (National Institutional Ranking Framework) Coordinator, I play an instrumental role in positioning our institution strategically to achieve notable rankings. Moreover, as the Single Point of Contact (SPOC) for IIT-M under the National Programme on Technology Enhanced Learning (NPTEL), I facilitate seamless communication and collaboration.

📊 Research:

  1. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model Ontology-Based Matchmaking of Semantic Web Services”…
  2. D. Paulraj, S. Swamynathan, M. Madhaiyan, “Process Model-Based Atomic Service Discovery and Composition Of Composite Semantic Web Services Using Web Ontology Language For Service (Owl-S)”…
  3. D. Paulraj, Swamynathan, S., Daniel Chandran, Balasubadra, K And Vigilson Prem, M., “Service Composition And Execution Plan Generation of Composite Semantic Web Services Using Abductive Event Calculus”…

👩‍💼 Responsibilities at Present Institution:

  • Professor of Computer Science and Engineering.
  • Anna University Recognized Research Supervisor.
  • Coordinator Internal Hackathon.
  • Sports Convenor.
  • Institution Level NBA Coordinator.
  • IQAC Member.
  • NPTEL SPOC.
  • External NBA Committee Auditor (QIS College of Engineering, Ongole, Andhra Pradesh).

🏆 Awards and Honors:

  • 2017: National Level Award for Review Coordinator, National level selection procedure Dr.Kalam Educational Trust.
  • 2012: Men Engineers Award, IET, Chennai Network.
  • 2012: Er.D.A.Rajan Promotional Award, IET, Chennai Network.
  • 2005: Board of Study Member, Kannur University.
  • 2004: Technical Advisor, Registrar of Co-Operative Societies, Govt. of Kerala.