Fatma Sule Bilgic- Graph abstract – Graph Analytics Research Excellence Award

Published on by Network Science

Dr.  Fatma Sule Bilgic  distinguished academic and researcher in the field Graph Abstract. She has taken on various administrative roles, serving as the Quality and Accreditation Department Commission Representative and as a member of the Zero Waste Commission. Proficient in English with good reading comprehension, moderate speaking, and writing skills, she scored 60 in the KPDS/ÜDS exam. In terms of her academic achievements, she holds a Master’s thesis on the examination of the effect of the mother’s nutritional status on the content of breast milk’s macronutrients, supervised by Assoc. Prof. Dr. Gülçin Bozkurt and Prof. Dr. Asuman Çoban. Her doctoral thesis, supervised by Prof. Dr. Gülçin Bozkurt, focuses on the impact of web-based infant care education based on Meleis’ Transition Theory on maternal self-confidence and newborn health. With a Google Scholar citation count of 63 and an h-index of 3, and a Web of Science citation count of 25 and an h-index of 2, her research has made a notable impact. She has also contributed to national journals with publications such as an article evaluating the emotional and mental impact of midwifery students’ experiences in the delivery room, and another discussing the dimension of male contraception in reproductive health.

 

🌐 Professional Profiles

Educations📚📚📚

The individual completed their education journey, culminating in a Doctorate from Istanbul University-Cerrahpaşa Graduate School of Education, Department of Midwifery, in 2023, following a Master’s degree in Midwifery from the same institution in 2020, and a Bachelor’s degree in Midwifery from Haliç University in 2014. Prior to their academic pursuits, they attended Bakırköy 70th Year Health Vocational High School for their secondary education, graduating in 2006. Their professional experience includes roles as a Lecturer at Haliç University Faculty of Health Sciences, Department of Midwifery, starting in 2020, and as a Research Assistant at Haliç University School of Health Sciences, Department of Midwifery, from 2014 to 2020. Before their academic career, they worked as a Nurse-Midwife at Haseki Training and Research Hospital Neonatal Intensive Care Unit from 2011 to 2014, and as a Nurse at Dağkapı Children’s Diseases Hospital Neonatal Intensive Care Unit from 2010 to 2011.

 

Research 

She, along with her colleagues, has been actively involved in conducting various research studies on topics related to reproductive health and sexuality. Some of her recent publications include studies on the impact of COVID-19 on family planning and sexuality, attitudes and beliefs regarding sexuality during pregnancy, breastfeeding success after cesarean delivery, the effect of yoga on sexual function and body image in pregnant women, and nonpharmacological interventions for infantile colic. Additionally, she has contributed to understanding gender perception and dating violence attitudes among women students of health sciences. Her research also extends to investigating the severity and impact of symptoms in women with urinary incontinence. Moreover, she has co-authored a systematic review and meta-analysis on the effect of telehealth on incontinence severity in women. Furthermore, she has contributed a chapter on postpartum contraception in the international book “Postpartum Period,” edited by Yılmaz T. She continues to make significant contributions to the field of reproductive health through her research endeavors.

 Publication📚✨📚✨

 

 

Senol Celik – Statistics – Best Researcher Award

Published on by Network Science

Dr.  Senol celik  distinguished academic and researcher in the field Statistics. He has held academic positions at Bingöl University, Faculty of Agriculture, Department of Animal Science, Biometry and Genetics. He was appointed as an Associate Professor on January 27, 2014, and later became a Doctoral Lecturer on March 25, 2020. Throughout his tenure, he has supervised several Master’s theses. In 2019, he supervised the thesis of Birsen Gök, titled “Examination of Data on Large and Small Livestock Farming in Turkey Using Alternative Regression Methods,” which was completed under the Zootechnics Department at Bingöl University’s Institute of Natural and Applied Sciences.

In 2018, he oversaw Gamze Azak’s thesis, which focused on the “Multivariate Analysis of Milk Yields of Culture, Hybrid, and Native Cattle Breeds in Turkey,” also completed within the Zootechnics Department at the same institute. Additionally, in 2014, he guided Mehmet Dinler’s thesis, titled “Comparative Analysis of Clustering Methods in Livestock Data,” which was successfully defended at Bingöl University’s Institute of Natural and Applied Sciences.

 

🌐 Professional Profiles

 

Educations📚📚📚

He completed his undergraduate degree in Statistics at Anadolu University, Faculty of Science and Literature, in July 1992. Subsequently, he pursued his first Master’s degree in Statistics at Ankara University, Institute of Science, graduating on June 19, 2003, with a non-thesis program. In 2004, he continued his academic journey at the same institution, completing another Master’s degree in Statistics, this time with a thesis titled “Normal Distribution and Inferences Related to Normal Distribution” under the supervision of Fahrettin Arslan. Moving forward, he embarked on his doctoral studies in Zootechnics (Agricultural Sciences) at Ankara University, Institute of Science, and successfully defended his dissertation titled “Time Series Analysis and its Application to Traffic Accident Data” under the guidance of Zahide Kocabas on July 25, 2013.

Conference

He presented several papers at international scientific conferences and had them published in proceedings. In 2021, Şenol Çelik contributed to various fields such as organic farming, health, economics, and artificial intelligence. For instance, he explored students’ perspectives on their respective departments in organic farming management in a paper published in the Euroasia Journal of Mathematics-Engineering Natural & Medical Sciences. Additionally, he investigated health-related studies using the Multivariate Adaptive Regression Splines (MARS) method, as well as the relationship between inflation and unemployment rates in Turkey using the inverse regression model, both presented at the III. International Congress on Creative and Innovative Approaches. Furthermore, he delved into artificial neural networks for modelling and predicting stock closing values and trends in agriculture, demonstrating applications in animal production and suicide rate prediction in Turkey and three major cities using artificial neural networks, presented at the II. International Applied Statistics Conference and the XXI. International Symposium on Econometric Operations Research and Statistics, respectively. Additionally, he contributed to animal science research by investigating the effects of vitamin E and selenium supplementation on the fertility and hatchability of partridges, presented at the III International and XII National Animal Science Conference.

 

Research 

He has contributed extensively to national peer-reviewed journals and presented papers at various national scientific conferences. In his publications, Şenol Çelik has covered a wide range of topics including path analysis of carcass measurements in Japanese quails, analysis of body measurements in Turkish Arabian horses, and investigation of egg quality traits and feather color effects on egg weight in Japanese quails. Additionally, he has presented findings on subjects such as honey production comparisons across regions in Turkey, utilization of spline functions in modelling live weight in organic chickens, and estimation of live weight in chickens by age using Newton interpolation method. Furthermore, his research extends to fields such as dairy production economics, climate effects on crop yields, and the relationship between livestock and forage crop production, among others. He has also authored technical notes and short articles on predictive modelling in goat growth and technologies in smallholder poultry development. Moreover, he has served as an editor for several publications focused on statistical research in various fields including agriculture, engineering, and natural sciences.

International peer-reviewed journals:
  • Azak Gamze, ÇELİK ŞENOL (2019). Investigation of milk yield from culture, cross-bred and native cattle breeds in Turkey by multivariate analysis of variance (MANOVA). APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 17(6), 14945-14959.
  • Can Ağırbaş Nihal, ÇELİK ŞENOL, Sapmaz Kadriye (2019). MODELING FORAGE CROPS PRODUCTION USING THE TIME SERIES METHOD. Fresenius Environmental Bulletin, 28(11), 7763-7776.
  • ÇELİK ŞENOL (2019). Modeling and Estimation of Potato Production in Turkey with Time Series Analysis. International Journal of Trend in Research and Development (IJTRD), 6(5), 111-116.
  • ÇELİK ŞENOL (2019). Prediction of Mandarin Production in Turkey through Artificial Neural Networks and Time-Series Analysis. International Journal of Trend in Research and Development, 6(5), 85-90.
  • ÖZTÜRK YASİN, ÇELİK ŞENOL, ŞAHİN EMRE, AÇIK MEHMET NURİ, ÇETİNKAYA BURHAN (2019). Assessment of Farmers’ Knowledge, Attitudes and Practices on Antibiotics and Antimicrobial Resistance. ANIMALS, 9(9), 653.
  • ÇELİK ŞENOL, ŞENGÜL TURGAY, ŞENGÜL AHMET YUSUF (2019). Relationships between Egg Quality Traits in Quails Examined with Data Mining Methods. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi, 29(3), 433-439.
  • ÇELİK ŞENOL (2019). ESTIMATION OF THE ORANGE PRODUCTION IN TURKEY BY MEANS OF ARTIFICIAL NEURAL NETWORKS. GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES, 6(9), 10-16.
  • ÇELİK ŞENOL (2019). Logistic Regression Analysis and An Application Regarding Students’ Success. Journal of Multidisciplinary Engineering Science Studies (JMESS, 5(6), 2628-2631.
  • ÇELİK ŞENOL (2019). Comparing Predictive Performances of Tree-Based Data Mining Algorithms and MARS Algorithm in the Prediction of Live Body Weight from Body Traits in Pakistan Goats. Pakistan Journal of Zoology (PJZ), 51(4), 1447-1456.
  • ÇELİK ŞENOL, BOYDAK ERKAN (2019). Determination Of Several Plant Characteristics Affecting Yield Per Decare In Peanut Using Different Regression Models. Journal of Multidisciplinary Engineering Science Studies (JMESS), 5(3), 2540-2544.
  • ÇELİK ŞENOL (2018). Using Lagrange interpolation to determine the milk production amount by the number of milked animals. American Journal of Engineering Research (AJER), 7(8), 264-271.
  • ÇELİK ŞENOL, ŞENGÜL TURGAY, SÖĞÜT BÜNYAMİN, ŞENGÜL ÖMER, İNCİ HAKAN (2018). Çanakkale ilinde sağılan koyun sayısı, süt üretimi, dolar kuru ve altın fiyatı ilişkisi: ARDL Bound testi yaklaşımı. JOURNAL OF AWARENESS, 3, 173-180.
 Publication📚✨📚✨

 

 

 

Innokentiy Kastalskiy – Social networks – Best Researcher Award

Published on by Network Science

Dr. Innokentiy Kastalskiy   Changwei W.Wu distinguished academic and researcher in the field Social network .  In his professional journey, he has held various key positions in prominent research institutions, showcasing a multifaceted expertise in the field of neurotechnology and biomechatronics. Since 2022, he has served as a Senior Researcher at the Moscow Institute of Physics and Technology (MIPT) within the Laboratory of Neurobiomorphic Technologies. Concurrently, since 2019, he has held the position of Associate Professor and Senior Researcher at Lobachevsky State University of Nizhny Novgorod (UNN), contributing significantly to the Department of Neurotechnology.

His prior experience includes a tenure as a Research Fellow from 2017 to 2019 at the Laboratory for the Development of Intellectual Biomechatronic Technologies. Notably, he has also been a part of the research teams at Samara State Medical University, Immanuel Kant Baltic Federal University in Kaliningrad, and the Institute of Applied Physics of the Russian Academy of Sciences in Nizhny Novgorod. His extensive career encompasses roles such as Leading Specialist at SamSMU’s Laboratory of Mathematical Neuromodelling and Senior Researcher at BFU’s Center for Neurotechnology and Machine Learning. Throughout his career, he has consistently demonstrated a commitment to advancing knowledge in neurocybernetics, autowave processes, and the broader landscape of nonlinear processes in living systems.

🌐 Professional Profiles

Educations📚📚📚

 In 2017, he successfully earned a PhD degree with a dissertation focused on the analysis of signals within biological systems’ network activity and the practical applications of this knowledge in the development of neural interface devices. His academic journey began in 2005 at Lobachevsky State University of Nizhny Novgorod, where he pursued a degree in Radiophysics with a specialty in Information Systems and Technologies. This foundation led him to further academic pursuits, culminating in his role as a graduate student from 2010 to 2013, specializing in the Department of Theory of Oscillation and Automatic Control. Throughout his educational trajectory, his dedication and scientific expertise have been recognized, earning him various scholarships and awards for his outstanding contributions in the field of Radiophysics.

 

SCHOLARSHIPS AND AWARDS🏆🏆🏅

He has garnered significant recognition throughout his academic and research career, underscored by his laureate status as the recipient of the Scholarship of the President of the Russian Federation in both 2015 and 2022. The 2015 scholarship was awarded for his exemplary work on the study of functional calcium signaling in neuron-glial networks, showcasing his expertise in the intricate mechanisms of brain function.

In 2022, he earned the prestigious scholarship for his outstanding contributions to mathematical models of network dynamic systems with energy-efficient communication, reflecting his commitment to advancing knowledge in the field. Further validating his prowess, he emerged as the winner of the Russian federal “UMNIK” competition in 2014, demonstrating his excellence in applied scientific projects related to the design of software systems for monitoring neuron-glial networks’ functional activity.

Additional accolades include his victory in the “UMNIK-NN-14” competition in 2014, acknowledgment as a Forum of Lobachevsky University young scientists awardee in 2013, and recognition as a G.A. Razuvaev scholarship laureate in 2012-2013. His academic journey also includes being a laureate of the scholarship of the Academic Council in 2011-2012 and earning a coveted spot in the “Best graduates of Lobachevsky University” list in 2010. These accomplishments collectively reflect his exceptional dedication and contributions to the field of neuroscience and mathematical modeling.

 

GRANT MANAGEMENT

He has been successful in securing several research grants, exemplifying his expertise and the recognition of his work in the scientific community. In 2019, he received the RFBR grant #19-32-60051 from the Russian Foundation for Basic Research, supporting his research on the nonlinear effects of signal generation and propagation in neuron-astrocytic networks from 2019 to 2022. Concurrently, he was awarded the Grant of the President of the Russian Federation MK-133.2019.4 in 2019-2020, facilitated by the Ministry of Science and Higher Education. This grant was dedicated to investigating the functional network activity of astrocytes in a mutant line of mice predisposed to audiogenic seizures. Additionally, in 2012-2013, he successfully obtained a grant from the Federal Targeted Programme, #14.132.21.1663, focused on designing neuroanimat models—a robot propelled by the activity of plastic neuronal networks. These grants not only showcase his ability to secure substantial funding for his research initiatives but also underscore the significance and innovation of his scientific inquiries, contributing to the advancement of knowledge in neurobiology and related fields.

 

MEMBERSHIP IN COMMUNITIES

He actively engages with various professional societies, demonstrating his commitment to the broader scientific community. As a member of the Federation of European Neuroscience Societies (FENS), he holds the FENS Member ID RU51317, showcasing his affiliation with this esteemed international organization. Additionally, his involvement extends to the Institute for Systems and Technologies of Information, Control, and Communication (INSTICC), where he holds the membership number 14553 (14559). These memberships underline his dedication to staying abreast of cutting-edge developments in information technology, control systems, and communication. Furthermore, his association with the Physiologists Society of Russia under the name of I.P. Pavlov reflects his commitment to the national scientific landscape, aligning his interests with the foundational principles of physiological research. By actively participating in these professional societies, he contributes to the exchange of knowledge and collaboration within the fields of neuroscience, information technology, and physiological research.

 

Publications📚✨📚✨

Kiran Antony – Baire functions- Best Researcher Award

Published on by Network Science

 Kiran Antony – Baire functions

Mr.  Kiran Antony  distinguished academic and researcher in the field Baire functions.  During his academic journey, he has actively pursued various co-curricular activities and undertaken notable projects that have enriched his learning experience.

In the realm of co-curricular achievements, he has attained A, B, and C certificates in the National Cadets Corps (NCC), demonstrating his commitment to discipline, teamwork, and service. Additionally, he has earned the prestigious Rajyapurskar certificate in The Bharat Scouts and Guides, further showcasing his dedication to leadership and community engagement.

In terms of academic projects, he has engaged in significant research endeavors. For his M. Phil project, titled “Generalized Locally Toeplitz Sequences: Theory and Applications,” he worked under the guidance of Dr. V. B Kiran Kumar, an Assistant Professor in the Department of Mathematics at Cochin University of Science and Technology. This project delved into advanced mathematical concepts and their practical implications, showcasing his analytical and problem-solving skills at an advanced level.

Furthermore, during his undergraduate studies, he undertook a project entitled “An Introduction to Cardinal Numbers,” which provided a foundational understanding of cardinality in mathematics. This project was supervised by Dr. Sunil C. Mathew, an Associate Professor in the Department of Mathematics at ST. Thomas College. Dr. Mathew’s guidance was invaluable in shaping his understanding of complex mathematical concepts and honing his research abilities.

Overall, these co-curricular achievements and projects have not only enhanced his academic knowledge but also fostered skills such as leadership, critical thinking, and collaboration, which are essential for personal and professional growth.

 

🌐 Professional Profiles

 

Educations📚📚📚

He pursued his academic journey with determination and excellence, attaining commendable qualifications:

  • Currently, he is pursuing a Doctor of Philosophy (Ph.D.) degree at the National Institute of Technology, Karnataka, focusing on further advancing his expertise in his chosen field.
  • Prior to his Ph.D., he completed a Master of Philosophy (M. Phil) degree at Cochin University of Science and Technology from July 2019 to September 2020, achieving an impressive CGPA of 9.08 out of 10 in Mathematics.
  • Before his M. Phil, he earned a Master of Science (M. Sc) degree in Mathematics from Cochin University of Science and Technology, maintaining a remarkable CGPA of 8.99 out of 10, from July 2017 to April 2019.
  • His academic journey began with a Bachelor of Science (B. Sc) degree from Mahatma Gandhi University, Kottayam, at ST. Thomas College Palai, where he graduated with a high CGPA of 9.52 out of 10 in Mathematics, spanning from June 2014 to March 2017.
  • He completed his Senior Secondary School Examination from the Board of Higher Secondary Examination, Kerala, at ST. Thomas Higher Secondary school, Thomapuram, achieving an outstanding percentage of 93.92% from June 2012 to March 2014.
  • Preceding his senior secondary education, he successfully completed his Secondary School Examination from the Board of Public Examinations, Kerala, also at ST. Thomas Higher Secondary school, Thomapuram, laying a strong foundation for his academic pursuits.
Academic Achievement
  • He successfully qualified the Joint CSIR-UGC National Eligibility Test (NET) for Junior Research Fellowship (JRF) and Eligibility for Lectureship (LS)/Assistant Professor conducted on December 15, 2019, reflecting his competence in his field of study.
  • Additionally, he demonstrated his academic prowess by qualifying the Graduate Aptitude Test in Engineering (GATE) 2020 held on February 02, 2020, highlighting his proficiency in engineering-related subjects.
  • He further exhibited his academic excellence by qualifying the Kerala State Council for Science, Technology and Environment Research Fellowship Examination held on February 9, 2020, underlining his commitment to research and scientific inquiry.
  • In his earlier academic years, he showcased his talent by securing the first prize in a district-level Mathematics quiz competition in 2012, demonstrating his early aptitude and passion for mathematics.
  • Throughout his collegiate journey, he continued to excel by securing prizes in Intercollegiate Mathematics Quiz competitions spanning from 2014 to 2019, further solidifying his reputation as a skilled mathematician and competitor.
  • His academic achievements extend back to his school days, where he received prizes of merit for his performances in school-level competitions, reflecting his consistent dedication to academic excellence and achievement.

PROJECTS

1. Generalized Locally Toeplitz Sequences : Theory and Applications M. Phil project Under the Supervision of Dr. V. B Kiran Kumar, Assistant Professor, Department Of Mathematics, Cochin University of Science and Technology.
2. An Introduction to Cardinal Numbers  Undergraduate project Under the Supervision of Dr. Sunil C. Mathew, Associate Professor, Department Of Mathematics, ST. Thomas College.

SEMINARS AND TEACHING EXPERIENCE

• Seminar on Jordan Canonical Forms, CUSAT
• Seminar on Polynomial Rings, CUSAT
• Seminar on Spectral Theorem For Normal Operators, CUSAT
• Seminar on Nowhere Differentiable Functions, NIT Karnataka
• Tutor at Dimensions Coaching Institute, Kerala
• Tutor at Wisdemy Coaching Institute, Kerala

Publication

Changwei Wu – Network Properties- Best Researcher Award

Published on by Network Science

Changwei  Wu – Network Properties

Prof.  Changwei W.Wu distinguished academic and researcher in the field Network Properties.  Changwei W. Wu, a Professor at the Graduate Institute of Mind, Brain, and Consciousness at Taipei Medical University – Shuang-Ho campus in New Taipei, Taiwan, is also affiliated with the Research Center of Sleep Medicine at Taipei Medical University Hospital. He specializes in Mindfulness-based Interventions (MBI) and conducts research on simultaneous EEG-fMRI for sleep neuroimaging. Additionally, he is proficient in medical image and signal processing.

 

🌐 Professional Profiles

Educations📚📚📚

He  holds a Ph.D. in Electrical Engineering from National Taiwan University, Taipei, Taiwan, awarded in January 2009. His doctoral dissertation, titled “Biophysical Investigations and Developments of Novel Functional MRI Techniques,” was supervised by Jyh-Horng Chen, Ph.D., and Ho-Ling Liu, Ph.D. During his doctoral studies, he also served as a Predoctoral Visiting Fellow at the Neuroimaging Branch of the National Institute on Drug Abuse, National Institutes of Health (NIDA/NIH), in Baltimore, MD, from March 2006 to April 2008, under the supervision of Dr. Yihong Yang. Dr. Wu obtained his B.Eng. in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 2001.

 

Academic Positions:

Dr. Changwei W. Wu has held various academic positions, demonstrating a strong commitment to research and teaching in the field of neuroscience and related disciplines:

  • Professor, Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan (Feb 2021 – Present)
  • Associate Professor, Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan (Aug 2019 – Jan 2021)
  • Associate Professor, Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan (Aug 2016 – Jul 2019)
  • Adjunct Associate Professor, Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan (Sep 2016 – Jul 2019)
  • Adjunct Associate Professor, Institute of Cognitive Neuroscience, National Central University, Taoyuan, Taiwan (Aug 2015 – Jul 2016)
  • Associate Professor, Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan (Aug 2015 – Jul 2016)
  • Adjunct Assistant Professor, Brain and Consciousness Research Center, Taipei Medical University, Taipei, Taiwan (Sep 2014 – Jul 2016)
  • Assistant Professor, Graduate Institute of Biomedical Engineering, National Central University, Taoyuan, Taiwan (Aug 2011 – Jul 2015)
  • Postdoc Research Fellow, Neuroimaging Branch, National Institute on Drug Abuse, National Institutes of Health (NIDA/NIH), Baltimore, MD, where he conducted research on spectral analyses of functional connectivity in cocaine users using simultaneous EEG/fMRI recordings.

Honors & Awards

Dr. Changwei W. Wu has garnered several esteemed awards and accolades in recognition of his outstanding contributions to teaching, research, and academic excellence. Notably, he received the Outstanding Teaching Award from the Center of General Education at Taipei Medical University, Taipei, Taiwan, in 2023. In 2020, he was honored with the JMBE Annual Excellent Paper Award by the Taiwanese Society of Biomedical Engineering, as well as the College Student Research Creativity Award from the Ministry of Science and Technology (MOST), Taiwan. Additionally, he was recognized with the Outstanding Teaching Award from the College of Humanities and Social Science at Taipei Medical University, Taipei, Taiwan, and received the Award of Research Program Projects Grant from Taipei Medical University, Taipei, Taiwan, all in the same year. These accolades underscore Dr. Wu’s dedication to advancing education, fostering innovative research, and contributing significantly to his field.

Publication
1. Yi-Chia Kung, Chia-Wei Li, Ai-Ling Hsu*, Chi-Yun Liu, Changwei W. Wu*, WeiChou Chang, Ching-Po Lin*. Neurovascular Coupling in Resting State and EyeOpen-Eye-Close Task: Spectral Correspondence between Concurrent EEG and fMRI. Neuroimage (In press).
2. Hong-Yi Wu, Chih-Mao Huang, Ai-Ling Hsu, Chiao-Nan Chen, Changwei W. Wu*,
Jyh-Horng Chen*. Functional Neuroplasticity of Facilitation and Interference
Effects on Inhibitory Control Following 3-month Physical Exercise in Aging.
Scientific Reports (In press).
3. Timothy J. Lane, Tsan-Hon Liou, Yi-Chia Kung, Philip Tseng*, Changwei W. Wu*.
Functional Blindsight and Its Diagnosis. Frontiers in Neurology 2024; 15:
1207115. doi: 10.3389/fneur.2024.1207115
4. Zhitong John Wang, Hsin-Chien Lee, Chun-Hsiang Chuang, Fan-Chi Hsiao, ShwuHua Lee, Ai-Ling Hsu*, Changwei W. Wu*. Traces of EEG-fMRI Coupling Reveals
Neurovascular Dynamics on Sleep Inertia. Scientific Reports 2024; 14: 1537.
doi: 10.1038/s41598-024-51694-4
5. Yi-Tien Li, Duen-Pang Kuo, Philip Tseng, Yung-Chieh Chen, Sho-Jen Cheng,
Changwei W. Wu, Li-Chun Hsieh, Yung-Hsiao Chiang, Hsiao-Wen Chung,
Yvonne W. Lui, Cheng-Yu Chen*. Thalamocortical Coherence Predicts Persistent
Postconcussive Symptoms. Progress in Neurobiology. 2023; 226: 102464. doi:
10.1016/j.pneurobio.2023.102464
6. Ai-Ling Hsu, Ming-Kang Li, Yi-Chia Kung, John Wang, Hsin-Chien Lee, Chia-Wei
Li, Chi-Wen Huang* and Changwei W. Wu*. Temporal Consistency of
Neurovascular Components on Awakening: Preliminary Evidence from
electroencephalography, cerebrovascular reactivity, and functional magnetic
resonance imaging. Frontiers in Psychiatry 2023; 14: 1058721. doi:
10.3389/fpsyt.2023.1058721
7. Shiao-Fei Guu, Yi-Ping Chao, Feng-Ying Huang, Yu-Ting Jeng, Hei-Yin Hydra Ng,
Chia-Fen Hsu, Chun-Hsiang Chuang, Chih-Mao Huang*, Changwei W. Wu*.
Interoceptive Awareness: MBSR Training Alters Information Processing of
Salience Network. Frontiers in Behavioral Neuroscience 2023; 17:1008086.
doi: 10.3389/fnbeh.2023.1008086
8. Shaoyu Yen, Hong-Yi Wu, Yuhling Wang, Chih-Mao Huang, Changwei W. Wu,
Jyh-Horng Chen, and Lun-De Liao*. Revisiting the Effects of Exercise on Cerebral
Neurovascular Functions in Rats using Multimodal Assessment Techniques.
iScience 2023; 26(4): 106354. doi: 10.1016/j.isci.2023.106354
9. Hei-Yin Hydra Ng; Changwei W. Wu; Feng-Ying Huang; Chih-Mao Huang; ChiaFen Hsu; Yi-Ping Chao*; Tzyy-Ping Jung; Chun-Hsiang Chuang*. Enhanced
Electroencephalography Effective Connectivity in Frontal Low-Gamma Band
Correlates of Emotional Regulation after Mindfulness Training. Journal of
Neuroscience Research 2023; 101(6): 901-915. doi: 10.1002/jnr.25168
10. Deng-Fa Yang, Wen-Ching Huang, Changwei W. Wu, Yu-Chen S. H. Yang, YuTang Tung*. Acute sleep deprivation exacerbates systemic inflammation and
psychiatry disorders through gut microbiota dysbiosis and disruption of circadian
rhythms. Microbiological Research 2023; 268: 127292. doi:
10.1016/j.micres.2022.127292
11. Mengxia Gao, Nichol M.L. Wong, Chemin Lin, Chih-Mao Huang, Ho-Ling Liu,
Cheng-Hong Toh, Changwei Wu, Yun-Fang Tsai, Shwu-Hua Lee*, Tatia M.C.
Lee*. Multimodal Brain Connectome-based Prediction of Suicide Risk in People
with Late-life Depression. Nature Mental Health 2023; 1: 100–113. doi:
10.1038/s44220-022-00007-7
12. Pei-Ying Sarah Chan, Wen-Pin Chang, Chia-Hsiung Cheng, Liu Chia-Yih, Ai-Ling
Hsu*, Andreas von Leupoldt, Changwei Wu*. The Impact of Emotional Context
on Neural Substrates of Respiratory Sensory Gating. Frontiers in Neuroscience
2022; 16:1004271. doi: 10.3389/fnins.2022.1004271
13. Yi-Chia Kung, Chia-Wei Li, Fan-Chi Hsiao, Pei-Jung Tsai, Shuo Chen, Ming-Kang
Li, Hsin-Chien Lee, Chun-Yen Chang, Changwei W. Wu*, Ching-Po Lin*. Crossscale Dynamicity of Entropy and Connectivity in the Sleeping Brain. Brain
Connectivity 2022; 12(9): 835-845. doi: 10.1089/brain.2021.0174
14. Hsuan-Chu Shih, Mu-En Kuo, Changwei W. Wu, Yi-Ping Chao, Hsu-Wen Huang,
Chih-Mao Huang*. The Neurobiological Basis of Love: A Meta-Analysis of Human
Functional Neuroimaging Studies of Maternal and Passionate Love. Brain
Sciences 2022; 12(7): 830. doi: 10.3390/brainsci12070830
15. Hang Wu, Zengxin Qi, Xuehai Wu, Jun Zhang, Changwei Wu, Zirui Huang, Di
Zang, Stuart Fogel, Sean Tanabe, Anthony G. Hudetz, Georg Northoff, Ying Mao*,

Hana Catur Wahyuni – Technological Networks – Top Researcher Award

Published on by Network Science

Ms. Hana Catur Wahyuni   distinguished academic and researcher in the field  Technological Network.  In the past five years, she has been actively engaged in various research projects. In 2023, she conducted research on “A Blockchain Technology-Based Risk Management Model for the Beef Supply Chain According to Food Safety and Halal Standards to Achieve Food Independence in Ruminant Commodities,” funded by the Directorate General of Higher Education (Dikti). Additionally, she worked on “Strategies to Increase Productivity in Local Food Agro-Industries Based on Halal Product Assurance Systems with Integration of FMEA and Bayesian Network (BN),” supported by the Research Council of the Directorate General of Higher Education (Majelis Dikti Litbang PP).

🌐 Professional Profiles

Educations📚📚📚

Her educational background includes completing her Bachelor’s, Master’s, and Doctoral degrees in Engineering Management from the University of Islam Indonesia, Yogyakarta, and the Institut Teknologi Sepuluh Nopember (ITS) in Surabaya. She entered the University of Islam Indonesia in Yogyakarta in 1995 and graduated in 1999. Later, she pursued her Master’s degree at ITS in Surabaya from 2007 to 2009, followed by her Doctoral studies at the same institution from 2016 to 2020. Her dissertation titles were “Proposal for a standard work method for packaging brem based on work motion analysis with video recordings,” “Analysis of the sophistication level of humanware using a technometric approach at PG Candi Baru, Sidoarjo,” and “Integrated Risk Management Model for Food Safety and Halal in the Food Industry.” Throughout her academic journey, she was guided by Dr. Ir. Wahyu Purwanto MSIE, Prof. Dr. Ir. Udisubakti Ciptomulyono M.Eng.Sc, and Prof. Iwan Vanany ST., MT., Ph.D.

Research

In 2022, she submitted a proposal for the “World Class Professor Program” focusing on enhancing the quality of lecturers and students through collaborative publications between UMSIDA and IPB, funded by the Directorate General of Higher Education (Dikti). Furthermore, she researched “Strategies for Sustainable Development of Small and Medium-sized Fisheries Products Based on Integration of Blue Economy Concepts, Food Safety Standardization, and Halal,” supported by the Indonesian Institute of Sciences (LIPI) under the Mandatory Research Program (Rispro).

Her research endeavors in 2021 included implementing a Halal Assurance System for MSMEs under PCM Tanggulangin, Ka Sidoarjo, funded by the Muhammadiyah University (PP Muhammadiyah). In the same year, she analyzed risks in the Halal food supply chain to ensure food security in the New Normal era, under the auspices of Sidoarjo Muhammadiyah University.

Prior to that, in 2019 and 2018, she developed methods for analyzing food safety risks in the supply chain of fish-based food products produced by IKM as safe, healthy, and Halal alternative foods, funded by the Directorate General of Higher Education (Dikti). She also worked on developing a Green Human Resource Management Model to enhance the productivity of Micro, Small, and Medium Enterprises (MSMEs) as part of a National Strategic Research project in Indonesia (Dikti).

Her earlier research in 2016 focused on developing a technology adoption model to improve the quality of products from Small and Medium Enterprises (SMEs) in support of innovation-driven economics in Sidoarjo District, funded by the Competitive Grant Scheme for the second year (Dikti).

Experience

In the past five years, she has authored several books and obtained intellectual property rights. In 2015, she published “Quality Control in Service and Manufacturing Industries with Lean, Servqual, and Six Sigma,” totaling 175 pages, under PT Graha Ilmu, Yogyakarta. In 2017, she released “Human Capital in the Perspective of Business Productivity” consisting of 100 pages, published by NLC, Sidoarjo. Additionally, she authored “Assessment of Technology in Technology Adoption Processes” and “Analysis of Productivity (Basic Concepts and Measurement Techniques)” in 2017, both published by Umsida Press with 100 and 200 pages, respectively.

In 2018, she published “Pocket Book: Guide to Implementing GHRM in MSMEs” comprising 20 pages, also under Umsida Press. The following year, she authored “Risk Analysis in the Supply Chain (Focus of Research: Food Safety Risks)” published by Umsida Press, spanning 60 pages. In 2020, she released “Quality Control in Manufacturing and Service Industries” with 106 pages, published by Umsida Press. Her most recent book, “Technology Management in Industry,” was published in 2023, totaling 122 pages, under Umsida Press.

Moreover, she has acquired intellectual property rights in the last decade. In 2017, she obtained copyright for a community service program aimed at enhancing the quality of equipment for child health services, and in 2018, she secured copyrights for designing an information system for population registration to improve the quality of population services in Gelam Village, Sidoarjo Regency. Additionally, she acquired copyright for a study on Indonesian consumer perceptions of the food safety system in the fish supply chain in 2018. Lastly, in the same year, she obtained copyright for the implementation guide of GHRM in MSMEs.

Publications📚📚

HongShuo Zhang – Naval Architecture – Best Researcher Award

Published on by Network Science

Mr. Hongshuo Zhang  distinguished academic and researcher in the field Naval Architecture.  His academic journey has been adorned with numerous accolades, including student excellence awards and specialized scholarships. In the realm of research, he has published two high-quality SCI papers as the first author and corresponding author, focusing on the theme of Ship Intelligent Optimization Design. These publications underscore his dedication to advancing knowledge in this specialized field. Furthermore, his active participation in numerous research projects has provided him with invaluable hands-on experience and enhanced his proficiency in maritime engineering concepts.

 

🌐 Professional Profiles

Educations📚📚📚

He pursued his undergraduate studies in Navigation Technology at Shanghai Maritime University, where he excelled academically with a GPA of 3.75/4.0, ranking first in his major. Subsequently, he was admitted to Dalian University of Technology’s Master’s program in Ship and Ocean Engineering with outstanding credentials. Throughout his graduate studies, he maintained a GPA of 3.8/4.0, consistently placing within the top 5 of his cohort.

Research

His contribution to Research & Development has primarily revolved around the publication of two high-quality SCI papers. One focuses on the automatic layout planning of ship pipelines, while the other delves into the collaborative layout optimization of ship engine rooms. These contributions showcase significant innovations in coding methods, optimization algorithms, and layout strategies. He has introduced multiple efficient optimization algorithms and methods, successfully overcoming complex challenges in the collaborative layout of equipment and pipelines within ship engine rooms. These breakthroughs have made substantial contributions to the field of ship design, paving the way for enhanced efficiency and effectiveness in maritime engineering practices

Publications📚📚

  • A bidirectional collaborative method based on an improved artificial fish swarm algorithm for ship pipe and equipment layout design

    Ocean Engineering
    2024-03 | Journal article
    DOI: 10.1016/j.oceaneng.2024.117045
    CONTRIBUTORS: Hongshuo Zhang; Yanyun Yu; Qiaoyu Zhang; Yuansong Yang; Haiyang Liu; Yan Lin

  • Collaborative Layout Optimization for Ship Pipes Based on Spatial Vector Coding Technique

    IEEE Access
    2023 | Journal article
    DOI: 10.1109/ACCESS.2023.3324130
    CONTRIBUTORS: Hongshuo Zhang; Mingjun Yang; Yuansong Yang; Haiyang Liu; Yan Lin

Pragati Tripathi – Biomedical Engineering – Best Researcher Award

Published on by Network Science

Ms. Pragati Tripathi distinguished academic and researcher in the field Biomedical Engineering.  She has held multiple academic positions since 2018, beginning as an Assistant Professor in the Department of Electronics and Communication Engineering at Vision Institute of Technology, Kanpur. She then transitioned to roles such as Research Associate at Sharda University, Greater Noida, and subsequently as an Assistant Professor in the same field at I.T.S Greater Noida. Currently, she serves as an Assistant Professor and Chief of Operations and Experiments (C.O.E.) in the ECE Department at I.T.S Greater Noida, where she also played a pivotal role in establishing an IoT lab. Her contributions extend beyond teaching, as evidenced by her involvement in hosting e-Yantra programs and workshops, including one conducted in collaboration with IIT Bombay. Furthermore, she has coordinated mini-projects for second and third-year students, managed data for R&D consultancy, and contributed to the improvement of departmental logistics and student performance. Her proactive approach is reflected in her creation and implementation of activities aimed at enhancing student careers and her active participation in departmental and college initiatives, where she has supported various functional activities and committees.

 

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing a Ph.D. in Artificial Intelligence & Machine Learning at Gautam Buddha University, Greater Noida, a journey she embarked on in 2019. Prior to this, she completed her MTech in Power Electronics & Drives from the same institution in 2018. Her educational journey began with a Master’s in Electronics from C.S.J.M. University, Kanpur, in 2016, following which she obtained a Bachelor’s degree from the same university in 2014. She completed her Intermediate education at Virendra Swarup 21st Century, Kanpur, in 2011, and her High School education at Vikram Khanna High School, Kanpur, in 2009. Through her academic pursuits, she has demonstrated a commitment to expanding her knowledge and expertise in the field of electronics and related disciplines.

 

INTERNATIONAL CONFERENCES 🎟️

She has made significant contributions to the field of engineering and technology, as evidenced by her numerous publications and presentations at international conferences. Her research interests span across various domains, including artificial intelligence, smart communication, medical imaging, and renewable energy systems. Notable works include her studies on signal processing techniques for medical applications, such as denoising electrocardiogram signals and analyzing brain tumor detection through MRI. Additionally, she has explored topics in energy efficiency, such as modeling hybrid PV-diesel-battery systems and analyzing the stability of VSC-HVDC transmission systems. Her research endeavors also extend to innovative technologies like IoT-based weather monitoring systems and the mathematical modeling of graphene. Through her scholarly pursuits, she has demonstrated a commitment to advancing knowledge and innovation in engineering, contributing to the scientific community’s understanding and application of emerging technologies.

 

Honors & Awards 🏆🏆🥇

She has garnered numerous awards and achievements throughout her academic and extracurricular endeavors. Notable among these are her participation in events like Abhivyanjana in 2016 and 2017, where she served as a co-coordinator. Additionally, she demonstrated her leadership skills as a co-coordinator at the NanofiM International Conference in 2017 and various IEEE events. Her active involvement in IEEE activities earned her recognition, including the Outstanding Volunteer Award in the IEEE GBU Branch and the Outstanding Social Media Coordinator Award in the IEEE Delhi Region. Furthermore, she has contributed to sports events such as football and badminton, achieving commendable results like runner-up and securing the 2nd position. Her versatile engagement extends to English Group Discussions and football tournaments, showcasing her diverse interests and contributions to both academic and extracurricular spheres.

 

POSITION &RESPONSIBILITY

She has actively contributed to various projects and events, showcasing her organizational skills and leadership capabilities. As a Supervisor, she led a major project on IoT-based Agricultural monitoring systems at the Department of ECE, I.T.S. Engineering College during the 2023-24 session. Her role extended to being the Organizing Secretary for the Inter-College Tech-Vision Project Exhibition Competition at I.T.S Greater Noida in 2023, where she ensured the smooth execution of the event. Furthermore, she served as an Organizer for Nano fiM, an international conference held at Gautam Buddha University in 2017, and as a Coordinator for the International Conference (ELECRAMA2018) at Auto Expo, Greater Noida. Her dedication to extracurricular activities is evident through her volunteer work as a student coordinator in the Art Club at Gautam Buddha University from 2016 to 2018. Additionally, she took on the responsibility of organizing cultural events like the Cultural Fest, AbhiyanJana, at Gautam Buddha University in 2017, demonstrating her commitment to enhancing the campus experience for her peers.

 

Publications📚📚

Dariush Abbasinezhad-Mood – Network Security – Top Researcher Award

Published on by Network Science

Dariush Abbasinezhad-Mood – Network Security

Dr.  Dariush Abbasinezhad Mood distinguished academic and researcher in the field Network Security.  His research interests include Cryptography, Trust and Reputation based Systems, Authentication Protocols, Smart Grid Security, Wireless Sensor Networks, Blockchain, Internet of Things, and Embedded Systems. Further, his job interests include Hyperledger Fabric, Linux, Single Board Computers, PCB Design, Networking, and Programming. He reviewed more than 620 articles in 70 journals like IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Informatics, IEEE Systems Journal, and IEEE Internet of Things. He was elected as one of the world’s top reviewers on Publons in Computer Science and Cross-Field in 2019. He is seeking new job and research opportunities in his fields of expertise or other relevant fields. His preference is those jobs that can be done remotely.

 

🌐 Professional Profiles

Educations📚📚📚

He received the B.Sc. degree in Computer Science from Payame Noor University, Mashhad, Iran, in 2009 and the M.Sc. degree in Secure Communications from Imam Reza International University, Mashhad, Iran, in 2016 with the first rank. His M.Sc. thesis, which was about lightweight security protocols for smart grid communications, was elected as top thesis in 2017.

 Academic Positions:

In 2023, he served as a Senior Ethereum smart contract developer and deployer for an international project, working remotely with Unipoly Company based in Turkey. Prior to this, from 2021 to 2022, he was a Senior Hyperledger Fabric network operator and smart contract developer for a national project with RadinChain Company in Mashhad, Iran. His expertise in blockchain was further honed from 2020 to 2021 as a Blockchain expert for another national project at MayanChain Company, also located in Mashhad, Iran.

Before transitioning into blockchain roles, he dedicated his time from 2017 to 2021 to private teaching, focusing on Python, Qt, Hyperledger Fabric, and computer network security. He also imparted knowledge on Python programming, PyQt, PySide, Qt cross-compilation for ARM single board computers, and Hyperledger Fabric network design and smart contract programming. During this period, he engaged in design and programming of custom STM32 and ESP boards.

His earlier experiences include Qt cross-compilation with image processing libraries in 2019 for a knowledge-based company, as well as the preparation of customized Linux for Cubieboard with Qt in 2015, also for a knowledge-based company.

Courses and certificates

• Industrial robotics course (mobile robotics with Robotino) from Technical and Vocational Training Organization of Mashhad.
• LOGO PLC course from Technical and Vocational Training Organization of Mashhad.
• Electronic circuits analysis course with Proteus software from Technical and Vocational Training Organization of Mashhad.
• Fiber optic network designer course from Technical and Vocational Training Organization of Mashhad.
• Human resource management (HRM) course from Technical and Vocational Training Organization of Mashhad.
• Microcontrollers in robotics course from Technical and Vocational Training Organization of Mashhad.
• Entrepreneurship course from Technical and Vocational Training Organization of
Mashhad.
• Customer relationship management (CRM) course from Technical and Vocational
Training Organization of Mashhad.
• Negotiation of sales contracts course from Technical and Vocational Training Organization of Mashhad.
• Executive assistant in legal affairs course from Technical and Vocational Training
Organization of Mashhad.

Achievement

His achievements include being recognized as the top peer reviewer in Computer Science and Cross-Field by Publon in 2019. Additionally, his M.Sc. thesis was awarded the distinction of being the best at Imam Reza International University in Mashhad in 2017. He also ranked first among M.Sc. students at the same university in 2016.

In terms of interests, he demonstrates a passion for problem-solving, collaborating within teams, and a reputation for being hard-working and responsible. Furthermore, he exhibits a strong enthusiasm for learning about innovative technologies.

Publication

2. Ultra-Lightweight and Secure Blockchain-Assisted Charging Scheduling Scheme For
Vehicular Edge Networks By Utilization of NanoPi NEO, IEEE Transactions on
Vehicular Technology, 2022.
4. Efficient provably-secure dynamic ID-based authenticated key agreement scheme
with enhanced security provision, IEEE Transactions on Dependable and Secure
Computing, 2020.
5. Efficient provably-secure privacy-preserving signature-based key establishment protocol, Ad Hoc Networks, 2020.
for vehicle to grid connections with privacy protection, IEEE Transactions on Industrial Informatics, 2020.
7. Design and performance analysis of an efficient single flow IP traceback technique
in the AS level, International Journal of Communication Systems, 2020.
9. Three party secure data transmission in IoT networks through design of a lightweight
authenticated key agreement scheme, Future Generation Computer Systems, 2019.
10. Novel chaotic map-based privacy-preserving authenticated key agreement scheme
without the electricity service provider involvement, Security and Privacy, 2019.
11. Design of a lightweight and anonymous authenticated key agreement protocol for
wireless body area networks, International Journal of Communication Systems,
2019.
12. A secure and efficient key establishment scheme for communications of smart meters
and service providers in smart grid, IEEE Transactions on Industrial Informatics,
2019.

Saquib Ul Zaman – fluid dynamics – Best Researcher Award

Published on by Network Science

Saquib Ul Zaman – fluid dynamics

Dr. Saquib UI Zaman  distinguished academic and researcher in the field  Fluid Dynamics.  He has been serving as a lecturer at Arid Agriculture University, Gujrat campus since Fall 2017 and at the University of Gujrat, Gujrat as a visiting lecturer since Fall 2016. Throughout his tenure, he has demonstrated a keen interest in teaching various subjects including Fluid Mechanics, Numerical Analysis, Differential Equations, and Linear Algebra. His dedication to these areas of study is evident in his teaching approach and commitment to nurturing students’ understanding and proficiency in these subjects.

 

🌐 Professional Profiles

Educations📚📚📚

He completed his Ph.D. in Mathematics with a specialization in Fluid Mechanics from The University of Lahore, Lahore, Pakistan, in 2024, where he submitted a thesis titled “Analysis of the transport phenomena of fluid flow in cylindrical coordinate system and its applications in industry.” Prior to his doctoral studies, he obtained his M. Phil in Mathematics with a focus on Partial Differential Equations from Minhaj University Lahore, Pakistan, in 2017. His research during this time centered around the investigation of singular partial differential equations using the Homotopy perturbation method. He began his academic journey by earning a Bachelor of Science degree in Mathematics from the University of Gujrat, Gujrat, Pakistan, in 2015, laying the foundation for his future academic pursuits and research interests.

Publication

1. Saquib ul zaman, Muhammad Nauman Aslam and Azad HussainChemically reactive MHD fluid flow along with thermophoresis and Brownian effects. Advances in Mechanical Engineering. 2023 Aug;15(8):16878132231193326.
Impact Factor = 2.1.

2. Saquib ul zaman, Muhammad Nauman Aslam, Mathematical analysis of Williamsons fluid with radiations through slender cylinder.International journal of Modelling and Simulations. Impact Factor = 3.1

3.Saquib ul zaman, Muhammad Nauman Aslam and Azad Hussain,Nawal A. Alshehri,Ahmad M. Zidan,Analysis of heat transfer in a non-Newtonian nanofluid model with temperature-dependent viscosity flowing through a thin cylinder. Case studies in thermal engineering. Impact Factor = 6.8.

4.Saquib ul zaman, Muhammad Nauman Aslam and Azad Hussain, Williamson MHD nanofluid flow with radiation effects through slender cylinder. Impact Factor = 4.5.

5. Saquib ul zaman, Muhammad Nauman Aslam and Azad Hussain, Theoretical analysis of Williamson fluid in the reverse roll coating process. (submitted)

6. Saquib ul zaman, Muhammad Nauman Aslam and Azad Hussain, Mathematical analysis of Isothermal study of reverse roll coating using Micropolar fluid. (submitted)