Nurcan Caliskan | Digital Marketing | Women Researcher Award

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Nurcan Caliskan | Digital Marketing | Women Researcher Award

Prof Dr Nurcan Çalışkan Gazi University, Turkey

She completed her undergraduate studies in Nursing Principles at Sivas Cumhuriyet University in Turkey from 1994 to 1998. Following her passion for nursing, she pursued a postgraduate degree, specializing in Nursing, with a thesis, at Sivas Cumhuriyet University’s Health Sciences Institute from 1998 to 2001. Currently, she holds the position of Head of Department at Gazi University, Faculty of Health Sciences, Nursing Department, starting from 2021 and continuing. Her dedication to nursing education and leadership in healthcare reflect her lifelong commitment to advancing the field.

Education:

She completed her undergraduate studies in Nursing Principles at Sivas Cumhuriyet University in Turkey from 1994 to 1998. Following her passion for nursing, she pursued a postgraduate degree, specializing in Nursing, with a thesis, at Sivas Cumhuriyet University’s Health Sciences Institute from 1998 to 2001. Building upon her academic foundation, she furthered her expertise by obtaining a doctorate in Nursing from Hacettepe University’s Institute of Health Sciences, focusing on Nursing Principles, between 2003 and 2008. Throughout her educational journey, she demonstrated a commitment to advancing her knowledge and skills in the field of nursing. Her doctoral research likely contributed to the body of knowledge within nursing science, possibly addressing critical areas such as patient care, healthcare policy, or nursing education. With her extensive academic background and dedication to the nursing profession, she is equipped to make meaningful contributions to healthcare practice, research, and education in Turkey and beyond.

🌐 Profile Links:

Experience:

She currently holds the position of Head of Department at Gazi University, Faculty of Health Sciences, Nursing Department, starting from 2021 and continuing. In this role, she oversees the department’s operations, including curriculum development, faculty management, and research initiatives. Her leadership ensures the delivery of high-quality education and promotes excellence in nursing practice. Prior to her current role, she served at Gazi University, Faculty of Health Sciences, Nursing Department, from 2015 to 2018. During this time, she contributed to the department’s academic programs, teaching courses, mentoring students, and engaging in scholarly activities. Her dedication to nursing education and her commitment to the development of future healthcare professionals were evident throughout her tenure. Throughout her career, she has demonstrated a passion for advancing nursing science and promoting the well-being of individuals and communities. Her expertise in nursing education and her leadership qualities have positioned her as a respected figure within the academic community. She continues to inspire her colleagues and students alike, driving innovation and excellence in nursing education and research at Gazi University.

Publications:

  1. Effect of a game-based virtual reality phone application on tracheostomy care education for nursing students: A randomized controlled trial Cited By : 123, Published By : 2019
  2. The effect of heat application on pain, stiffness, physical function and quality of life in patients with knee osteoarthritis  Cited By : 97, Published By : 2018
  3. Hemşirelik teorileri ve modelleri Cited By : 55, Published By : 2017
  4. Effects of case studies and simulated patients on students’ nursing care plan Cited By : 41, Published By : 2016
  5. Health behaviors in health sciences university students in Turkey Cited By : 40, Published By : 2010
  6. A Descriptive Study of Turkish Intensive Care Nurses’ Pressure Ulcer Prevention Knowledge, Attitudes, and Perceived Barriers to Care. Cited By : 36, Published By : 2019
  7. Effects of local heat application before intravenous catheter insertion in chemotherapy patients Cited By : 32, Published By : 2016
  8. Hemşirelerin ventrogluteal bölgeye intramüsküler enjeksiyon uygulamasına yönelik bilgi düzeylerinin belirlenmesi Cited By : 29, Published By : 2014
  9. A longitudınal study on the effect of tailored training and counseling on the professional attitude of nursing students Cited By : 28, Published By : 2015
  10. The knowledge levels of health personnel in Turkey regarding forensic evidence Cited By : 25, Published By : 2012

Chaudhury Sanjeev Kumar Dash | Social Media and Digital Marketing | Best Researcher Award

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Chaudhury Sanjeev Kumar Dash | Social Media and Digital Marketing | Best Researcher Award

Dr Chaudhury Sanjeev Kumar Dash Silicon University, India

Dr. Chaudhury Sanjeev Kumar Dash received his Ph.D. in Computer Science from Fakir Mohan University, India, in 2014. His doctoral research, supervised by Prof. Satchidananda Dehuri at F. M. University in Balasore, focused on “Evolutionary Neural Network for Data Mining.” With a solid foundation in academia, he embarked on a career in teaching and research. He began as an Associate Professor at the Silicon Institute of Technology, where he later assumed the position of Senior Assistant Professor. Throughout his tenure, he has been dedicated to shaping the minds of future professionals, imparting knowledge, and fostering a culture of innovation. Driven by a passion for advancing the field of computer science, he continues to explore new avenues in research and education.

🌐 Profile Links:

Education:

He obtained his Ph.D. in Computer Science from Fakir Mohan University, India, in 2014. His doctoral thesis, titled “Evolutionary Neural Network for Data Mining,” was completed under the guidance of Prof. Satchidananda Dehuri at F. M. University in Balasore. Prior to his Ph.D., he earned his M.Tech in Computer Science with First Class distinction from the School of Mathematics, Statistics & Computer Science at Utkal University, India, in 2004. This academic journey equipped him with a solid foundation in both theoretical and practical aspects of computer science, particularly focusing on data mining and computational intelligence techniques. Through his research and academic pursuits, he has demonstrated a strong aptitude for applying advanced computational methods to solve complex problems in various domains. His expertise in evolutionary neural networks and data mining reflects his dedication to exploring innovative solutions for challenging real-world issues. With a solid educational background and guidance from esteemed mentors, he continues to contribute to the advancement of computer science through his research, teaching, and professional endeavors.

Experience:

He served as an Associate Professor at the Silicon Institute of Technology and later transitioned to the role of Senior Assistant Professor at the same institution. With a keen dedication to academia, he contributed significantly to the academic and research endeavors within the institution. His roles encompassed not only teaching but also mentoring students, guiding research projects, and engaging in scholarly activities. At Silicon Institute of Technology, he played a pivotal role in shaping the educational experiences of students, fostering a dynamic learning environment, and instilling a passion for knowledge among learners. Additionally, his expertise and leadership qualities were instrumental in driving initiatives aimed at enhancing the academic standards and research output of the institution. Prior to his tenure at Silicon Institute of Technology, he served as a Lecturer at B.C.E.T., Balasore, where he honed his teaching skills and laid the foundation for his academic career. Throughout his journey, he has demonstrated a commitment to excellence in education and has been a source of inspiration for both students and colleagues alike.

Publications:

  1. Radial basis function neural networks: a topical state-of-the-art survey Cited By : 112, Published By ; 2016
  2. An outliers detection and elimination framework in classification task of data mining Cited By : 27, Published By ; 2023
  3. Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database Cited By : 19, Published By ; 2016
  4. DE+ RBFNs based classification: A special attention to removal of inconsistency and irrelevant features Cited By : 18, Published By ; 2019
  5. Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features Cited By : 17, Published By ; 2022
  6. Improving software reliability prediction accuracy using CRO-based FLANN Cited By : 17, Published By ; 2019
  7. QORA-ANN: quasi opposition based Rao algorithm and artificial neural network for cryptocurrency prediction Cited By : 12, Published By ; 2021
  8. On the study of GRBF and polynomial kernel based support vector machine in web logs Cited By : 10, Published By ; 2013
  9. Feature selection for designing a novel differential evolution trained radial basis function network for classification Cited By : 9, Published By ; 2013
  10. Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification Cited By : 9, Published By ; 2013

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

 

Yuanyuan Tian | Social Media and Digital Marketing Strategy

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Yuanyuan Tian – Leading Researcher in Social Media and Digital Marketing Strategy

Dr Yuanyuan Tian, a distinguished academic and researcher in the field of renewable energy, Academician/Research Nanyang Technological University, Singapore. His academic journey has been marked by a profound dedication to Autonomous Vehicles into Social Media and Digital Marketing applications.

📚 Research Experience:

She has an extensive research background, currently serving as a Research Fellow at the Singapore Centre for 3D Printing in Nanyang Technological University since October 2023, under the guidance of Prof. Kun Zhou. Prior to this, she held the position of Research Fellow at the HP-NTU Digital Manufacturing Corporate Lab from January 2023 to October 2023, also working with Prof. Kun Zhou. Her earlier roles include being a Project Officer and an Exchanged Ph.D. student at the School of Mechanical & Aerospace Engineering, Nanyang Technological University, from October 2022 to January 2023 and August 2021 to August 2022, respectively, under the supervision of Prof. Kun Zhou. She completed her Ph.D. in Engineering Mechanics at Hunan University, China, from September 2016 to October 2022, achieving an impressive GPA of 89/100, ranking in the top 3%, with Prof. Qihong Fang and Prof. Jia Li as her supervisors.

🌐 Profile Links:

🤝 Project Experience:

She has been actively involved in various research projects, showcasing her expertise in materials science and engineering. Notably, she hosted the research project titled “Study on the mechanism of the subsurface and interface damages induced by the high-speed grinding of multilayer materials,” which received support from theHunan Graduate Research Innovation Project, spanning from May 2019 to May 2021. Additionally, she has made significant contributions to projects such as “Study on the dislocation mechanism of toughening and deformation of ultra-fine refractory high entropy alloy” (supported by the National Natural Science Foundation of China since January 2017) and “Study on microstructure and mechanical property of high entropy alloys based on high flux end quenching” (supported by the Fundamental Research Funds for the Central Universities since October 2017). Her commitment to advancing knowledge in these areas reflects her dedication to cutting-edge research and development.

🌐Professional Skills: 

Languages: Chinese (Native) and English (Fluent).

Familiar with the operation of 3D printers.

Proficient in various scientific tools, including Lammps, Ovito, Vmd, Materials Studio, ABAQUS, Neper, C++ Programming, MatLab, Origin, AutoCAD, SolidWorks, and so on.

Academic Conferences:

  • Oral presentation in “2018 National Conference on Solid Mechanics”, Harbin, China, Nov. 2018.
  • Wall presentation in “The Chinese Congress of Theoretical and Applied Mechanics (CCTAM 2019)”, Hangzhou, China, Aug. 2019.
  • Oral presentation in “National Mechanics Doctoral forum”, Beijing, China, Sep. 2019

Publications:

  • Y. Tian, K.J. Chen, H. Zheng, D.R. Kripalani, Z.H. Zeng, A. Jarlöv, … & K. Zhou. Additively Manufactured Dual-faced Structured Fabric for Shape-adaptive Protection. Advanced Science 2023, 2301567.
  • Y. Tian, J. Li, G.J. Luo, Q.H. Fang. Tribological property and subsurface damage of nanotwinned Cu/FeCoCrNi high entropy alloy nanolaminates at various scratching velocities and normal loads. Tribology International 2022, 169, 107435.
  • Y. Tian, J. Li, G.J. Luo, Q.H. Fang, J. Peng. Strengthening and Softening in Gradient Nanotwinned FCC Metallic Multilayers. Chinese Physics B 2022, 31(6), 066204.
  • Y. Tian, H. Feng, J. Li, Q.H. Fang, L.C. Zhang. Nanoscale sliding friction behavior on Cu/Ag bilayers influenced by water film. Applied Surface Science 2021, 545, 148957.
  • Y. Tian, Q.H. Fang, J. Li. Molecular dynamics simulations for plastic response of nanotwinned FeNiCrCoCu high entropy alloy under nanoindentation. Nanotechnology 2020, 31, 465701.
  • Y. Tian, J. Li, Z.Y. Hu, Z.P. Wang, Q.H. Fang. Molecular dynamics study of plastic deformation mechanism in Cu/Ag multilayers. Chinese Physics B 2017, 26, 126802.
  • Y. Kong, G. J. Luo, Y.Y. Tian*, C.Y. Du. Atomic insight into tribological behavior of AlCoCrFeNi high entropy alloy at various nanoscratching conditions. Journal of Materials Research and Technology 2023, 27, 7293-7303.
  • Zhang, X.T. Zheng, L. Song, Y.Y. Tian*, D. Zhang, L.L. Yan, Compressive properties and failure mechanisms of 3D-printed continuous carbon fiber-reinforced auxetic structures. Composites Communications 2023, 43, 101744.
  • J. Luo, Y.Y. Tian1, F.L. Chen, J.F. Liu, S.Y. Chen, C.Y. Du. Atomic insight into mechanical behavior of AuPt alloys. International Journal of Mechanical Sciences, 2023, 108778.
  • H. Song1, Y.Y. Tian1, J.K. Quan, S.Y. Cui, J. Li, Q.H. Fang, V-shaped bending of Ti-6Al-4V titanium alloy sheet with elliptical hole. Materials Research Express 2019, 6, 1265j2.