Fardin Noori – Topological Networks – Graph Analytics Pioneer Award

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Mr. Fardin Noori distinguished academic and researcher in the field  Topological Networks.  He has accumulated valuable teaching experiences, primarily within the realm of Electrical Engineering in the Oil, Gas, and Energy Industries. From August 2020 to February 2023, he played a pivotal role in instructing newly graduated trainees through an intensive course at Tarh O Palayesh Engineering Company in Tehran, Iran. In this capacity, he imparted essential knowledge and practical skills relevant to the industry, contributing to the professional development of aspiring engineers. Additionally, in February 2020, he facilitated a course focused on Solar Cells and Modules Production at the same institution. Through these teaching engagements, he has demonstrated his commitment to knowledge dissemination and nurturing the next generation of industry professionals.

🌐 Professional Profiles

Educations📚📚📚

He pursued his education with a focus on Electrical Engineering, specializing in Power Systems. This journey commenced with his Bachelor of Science degree at the Electrical Engineering Department of Shahid Rajaee University in Tehran, Iran, where he achieved a commendable GPA of 15.82/20 over the duration of four years, from September 2010 to September 2014. Building upon this foundation, he furthered his academic pursuits by attaining a Master of Science degree in Electrical Engineering – Power Systems from Shahid Beheshti University, also located in Tehran, Iran. During this advanced program, spanning from September 2015 to February 2018, he demonstrated his commitment to excellence with a GPA of 14.63/20. His dedication to his field was evident even during his earlier academic years, as reflected in his impressive GPA of 19.27/20 during his High School and Pre-University Diploma studies from September 2006 to September 2010, with a focus on Mathematics and Physics. Throughout his educational journey, he exhibited a strong aptitude for his chosen field, laying a solid foundation for his future endeavors in Electrical Engineering.

Research Interest

His research interests encompass a diverse array of topics within the realm of Electrical Engineering. With a keen focus on advancing the field, he is particularly drawn to exploring the intricacies of Microgrid and Smart Grid technologies, recognizing their potential to revolutionize energy distribution systems. Delving into the complexities of the Electricity Market, he seeks to unravel the dynamics shaping its evolution and impact on energy accessibility and affordability. His commitment to sustainability is evident in his pursuit of understanding Renewable Energy Integration strategies, aiming to optimize their utilization and minimize reliance on traditional energy sources. Additionally, he is intrigued by the challenges posed by Uncertainty Modeling, endeavoring to develop robust frameworks to address unpredictabilities in energy systems. Furthermore, his interests extend to Energy Management Systems, where he explores innovative approaches to enhance efficiency and reliability in energy consumption. Finally, he is captivated by the possibilities presented by Energy Storage Systems, recognizing their pivotal role in facilitating the transition towards a more resilient and sustainable energy landscape. Through his research pursuits, he aspires to contribute meaningfully to the advancement of these critical areas within Electrical Engineering.

🏆🏆HONORS AND AWARDS🏆🏆

He has consistently demonstrated exceptional academic prowess and performance, earning recognition at various levels of education. Notably, in 2015, he achieved an outstanding rank of 187th in the National-Wide University Entrance Exam for Master’s Degree in Electrical Engineering, showcasing his aptitude and dedication to his field of study. His academic excellence was further underscored in 2010 when he distinguished himself within the top 2 percent nationwide in the Mathematics and Physics University Entrance Exam for Bachelor’s Degree. This remarkable achievement, surpassing over 320,000 participants, reflects his exemplary command of the subject matter and his ability to excel in competitive academic environments. Moreover, throughout his high school and pre-university years from 2006 to 2010, he consistently ranked among the top students, earning recognition for his academic achievements and dedication to learning. His consistent track record of academic excellence speaks volumes about his commitment to intellectual growth and his innate talent in the field of mathematics and physics.

WORK EXPERIENCE 

He brings a wealth of practical experience to his professional portfolio, having held various roles within the engineering domain. Commencing his career journey as a Power System Engineering Intern at Sheikh Baha’i High Voltage Substation in Tehran, Iran, he laid the groundwork for his future endeavors. His career trajectory led him to assume roles of increasing responsibility and expertise at Tarh O Palayesh Engineering Company in Tehran, Iran. Here, he demonstrated his leadership abilities as a Project Manager, overseeing the Asalouyeh Operational Base Solar Power Plant Project from December 2021 to June 2023. Prior to this, he served as a Project Section Leader of Overhead Transmission Line Discipline, managing tasks related to integrated environment studies and engineering design for the Sohrab Oil Field Development Project.

His tenure also saw him contribute as a Renewable Engineer, conducting feasibility studies for renewable energy utilization in the Andisheh New Town Project. Additionally, he held the position of Deputy Head of Electrical Discipline, showcasing his strategic acumen and organizational skills. His role as an Electrical Engineer and Designer involved spearheading critical projects such as the South Pars Gas Company Refineries Safety Systems Upgrading Project and the Kish Gas Field Development Project. Throughout his career, he has exhibited a strong commitment to excellence, innovation, and sustainability, contributing significantly to the advancement of the engineering industry in Iran.

 

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Syarifuddin – Network Science – Best Researcher Award

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Mr.  Syarifuddin distinguished academic and researcher in the field Network science.He has been actively engaged in research and academic roles at Hasanuddin University, Indonesia. Since 2022, he has served as a Junior Researcher at the Laboratory of Materials and Energy Physics, where he contributes to various research projects. Additionally, he has been part of the Publication Management Center since 2022, where he collaborates with teams to oversee publication-related activities. Prior to these roles, from 2020 to 2022, he gained experience as a Research Assistant at the Laboratory of Materials and Energy Physics, further solidifying his expertise in the field.

🌐 Professional Profiles

Educations📚📚📚

Since 2018, he has been pursuing his undergraduate studies at Hasanuddin University, focusing on Materials Physics within the Faculty of Mathematics and Natural Sciences. Currently, he is a graduate student at the same university, specializing in Biocomposite Nanomaterials under the Faculty of Mathematics and Natural Sciences, a path he embarked on in 2023.

He was the recipient of the Bidikmisi scholarship, an Indonesian government education assistance program, from 2018 to 2021 while studying at Hasanuddin University. This scholarship provided him with financial support to pursue his undergraduate studies, highlighting his academic achievements and dedication to his education

WORK EXPERIENCE 🧬🔗

He possesses a diverse range of scientific expertise spanning various areas. His scientific interests revolve around Nonlinear Material Structure and Dynamics, encompassing bifurcation analysis, nonlinear waves, and nanomaterial dynamics in biocomposites. Additionally, he excels in Synthesis and Characterization, adept in synthesis methods and material characterization techniques. Furthermore, he demonstrates proficiency in exploring Technology Applications such as environmentally friendly materials, nanomaterial-based drug delivery platforms, and nanoscale electronic devices. His skills extend to Research Trend Analysis and research network mapping, facilitating visualization of research networks and trends. With language proficiency in both Indonesian (native) and English (intermediate), he effectively communicates his findings. In terms of technical expertise, he is well-versed in PC Operation System with Microsoft Windows, programming languages including MatLab and Rstudio, and various office suites/publishing tools like Microsoft Office and LaTeX. Moreover, he exhibits proficiency in graphics software such as Tableau, Citespace, VosViewer, CorelDraw, Origin Pro, ImageJ, and HighScore.

 

 

 

 

 

 

 

 

 

 

Rozita Nasiri – Biological Networks – Women Researcher Award

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Dr. Rozita Nasiri distinguished academic and researcher in the field Biological Networks.  She possesses extensive expertise across a wide array of disciplines within biotechnology and biomedical research. Her skills encompass conducting in vitro studies, where she is adept at working with both normal and cancer cells in tissue culture laboratories, proficiently executing various in vitro tests. Additionally, she holds substantial experience in in vivo studies, including working with animal models such as mice and rats to establish conditions like cancer, diabetes, Alzheimer’s, inflammatory bowel disease (IBD), and lead contamination, among others. Her proficiency extends to pharmacology and toxicology, as well as treatment studies.🧬🔗

Furthermore, she is highly skilled in molecular analysis techniques, including PCR, RT-PCR, SDS page, gel electrophoresis, gel extraction, plasmid extraction, dialysis, and genomic and proteomic extraction and isolation. She is also capable of gene and protein sequencing and determining DNA and protein concentrations. Her expertise extends to conducting hematology, immunology, and pathology tests, including biocompatibility studies.🧬

 

🌐 Professional Profiles

Educations📚📚📚

She completed her Bachelor of Science in Microbiology and Biology (Cell and Molecular Biology) from Islamic Azad University (I.R.IRAN) from 2002 to 2006. Following that, she pursued her Master of Science in Biotechnology at UTM (Universiti Technologi Malaysia) from 2009 to 2011, where her research focused on molecular identification of biodegradation related genes from dye-degrading microbes. Subsequently, she earned her PhD in Bioprocess Engineering from the Faculty of Chemical and Energy Engineering, Department of Bioprocess Engineering, spanning from 2012 to 2017. Her doctoral thesis, titled “Synthesis and Characterization of SPIONs-Bromelain-Folic acid on Folic Acid Receptor Positive Cancer Model,” demonstrated her expertise in the synthesis and characterization of nanomaterials for targeted cancer therapy. Throughout her academic journey, she has consistently excelled, maintaining a CGPA of 4 out of 4 for her PhD and 3.62 out of 4 for her Master’s degree.

She has received several notable awards and recognitions for her outstanding contributions to the field of biotechnology and bioprocess engineering. In 2013, she was honored with the Best Paper Award at IGCESH for her research on identifying novel bacterial species capable of degrading Dalapon using 16S rRNA genomic analysis. Additionally, she received the Best New Idea Award from Isfahan University of Medical Sciences, showcasing her innovative thinking and problem-solving skills. Furthermore, her academic excellence was acknowledged through the receipt of an International Doctoral Fellowship from the School of Graduate Studies at UTM, underscoring her dedication to advancing knowledge in her field through research and scholarly endeavors.

Books📚📚📚

1. 2019 “Genetic, Molecular Identification and Bioinformatics Analysis of Carcinogenic Azo Dyes’
Biodegradation related Genes from Citrobacter freundii A1, Enterococcus casseliflavus C1, Enterobacter
cloacae L17 and Candida tropicalis RETL-Cr1 Microorganisms,” Ariyadanesh Press, Iran.
2. 2019 “Synthesis, Characterization and Cancer Therapy Application of Novel Targeted SPIONsBromelainFolic acid Nano-Medicine on FAR+ Cancer Model”, Ariyadanesh Press, Iran.

WORK EXPERIENCE 🧬🔗

She has accumulated a diverse range of professional experiences and roles throughout her career. Initially, she worked as a Medical Laboratory Assistant at Tabatabaei Medical Diagnostic Laboratory and later at Dr. Ghaziasgar Medical Laboratory from 2006 to 2008, where she performed various laboratory tests. Transitioning into academia, she assumed the position of a University Lecturer and Laboratory Instructor at Islamic Azad University, Khorasgan Branch, starting in 2019. In this role, she teaches cell culture techniques, animal handling, and molecular laboratory skills. Simultaneously, she serves as a University Lecturer in English Literature, delivering English courses to undergraduate, master, and PhD students.

Expanding her academic endeavors, she also holds positions as a University Lecturer in Molecular Cell Biology and Biostatistics at the University of Isfahan since 2021, where she imparts knowledge on cell biology, molecular science, and biostatistics. Furthermore, she engages in research activities at the Royan Institute, focusing on the development of inactivated vaccines and antidiarrheal IgY polyclonal antibodies paste products.

Moreover, she plays a significant role as a Co-Supervisor for various Master and PhD projects, supervising research in areas such as nanotechnology, exercise physiology, cancer prevention, and drug development. Additionally, she has conducted research at the Royan Institute and the Dr. Mohammad Shafie Special Center of New Science and Technologies, leading projects focused on vaccine development and R&D in various scientific domains. Her contributions to both academia and research demonstrate her multidisciplinary expertise and commitment to advancing scientific knowledge and innovation.

 

 

 

 

 

 

 

 

 

 

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

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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📚✨📚✨

 

 

Changwei Wu – Network Properties- Best Researcher Award

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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*,

Yadvendra Pratap Singh – Biological Networks – Best Researcher Award

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Yadvendra Pratap Singh – Biological Networks

Dr. Yadvendra Pratap Singh distinguished academic and researcher in the field  Biological Network. He is committed to providing students with exceptional education and training to foster their understanding of subject areas and enhance their critical-thinking abilities. His focus extends to research, teamwork, mentoring, and service. With primary research interests spanning Web-GIS, GIS and Remote Sensing, as well as Image Processing, he also delves into the realms of Machine Learning and Deep Learning. He ensures that all information provided in his CV is true to the best of his knowledge, reflecting his dedication to integrity and professionalism.

 

🌐 Professional Profiles

Educations: 📚🎓

  • He completed his educational journey with distinction, earning a Ph.D. in CSE/Geoinformatics from Motilal Nehru National Institute of Technology in Allahabad, Prayagraj, Uttar Pradesh, in October 2019. Prior to this, he obtained his M.Tech. in CSE/Geoinformatics from the same institute in June 2013. Building upon his academic foundation, he pursued a B.Tech. in Information Technology from Uttar Pradesh Technical University in Lucknow, Uttar Pradesh, graduating in June 2008. His academic pursuits began with Intermediate studies in PCM, and he laid the groundwork for his educational path with a High School degree in Science, both accredited by the U.P. Board and completed in June 2003 and June 2001, respectively.

 EXPERIENCE

He has amassed a wealth of experience in academia, culminating in his current position as Assistant Professor (Senior Scale) in CSE(AIML) at Manipal University Jaipur, where he has been since July 2022. Prior to this role, he served as an Assistant Professor in CSE-AIML at Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, from December 2021 to July 2022. His dedication to teaching and research is evident in his tenure as an Assistant Professor in the Department of Computer Science & Engineering at Galgotias University, Greater Noida, Uttar Pradesh, from July 2018 to December 2021. Earlier in his career, he contributed as a Lecturer in the Computer Science & Engineering department at C.S.M. College of Engineering and Technology/UPTU in Allahabad, Uttar Pradesh, from January 2009 to April 2010. Through these roles, he has demonstrated a commitment to academic excellence and the development of future professionals in the field of computer science and engineering.

 

Administrative Leadership Positions, Nucleus Team Member or Committee Service

He actively engages in administrative leadership and committee service, demonstrating his commitment to organizational growth and development. Currently, he serves as a Nucleus member of the E-Cell at CSE(AIML) and Manipal University Jaipur, Jaipur, Rajasthan, a role he has held since 2023. Additionally, he contributes to the Budget Committee for CSE(AIML) at the same institution, demonstrating his involvement in financial planning and decision-making processes. In previous years, he played a crucial role as a member of the NBA Committee for CSE at Galgotias University, Greater Noida, Uttar Pradesh, during the academic year 2019-2020. Through these leadership positions and committee memberships, he actively contributes to the strategic initiatives and operational excellence of the academic institutions he is associated with.

 

Honors and Prizes

He has garnered recognition for his contributions in both academic and extracurricular spheres. Notably, in March 2023, his collaborative work on “Language Detection Using Natural Language Processing,” authored alongside Y. Rajanak and R. Patil, earned them the Best Paper Award at the 9th International Conference on Advanced Computing and Communication Systems (ICACCS) held in Coimbatore. This accolade underscores his proficiency and innovation in the field of computer science. Furthermore, his leadership abilities were acknowledged earlier in February 2013 when he received the Best Coordinator award at the 47th Annual Athletic Meet at MNNIT Allahabad, Prayagraj. These achievements reflect his multifaceted talents and dedication to excellence in both academic research and event coordination.

Completed and Ongoing Projects
2015 Vehicle routing and scheduling in solid waste collection systems using GIS
Technology Team Members: Prof. (Dr.) A.K. Singh , Yadvendra Pratap Singh
Innovative research project grant under TEQIP-II of Rs. 3,00,000.00
(link: http://mnnit.ac.in/teqip/?page_id=87) ( Status : Completed)
Thesis
Undergraduate Senior Thesis: Online Hospital Management System, United College of
Engineering and Research Allahabad, 30/05/2008
Master’s Thesis: Geospatial Database Development for Zoning of Waste Water Drainage of
Allahabad city., Prof. (Dr.) D.K.Yadav and Prof( Dr.) R. P. Singh,
Motilal Nehru National Institute of Technology Allahabad, 22/06/2013
4
Doctoral Dissertation: Web-GIS Based Municipal Solid Waste Management System,
Prof. (Dr.) A.K. Singh and Prof. (Dr.) R.P. Singh,
Motilal Nehru National Institute of Technology Allahabad (M.N.N.I.T.) Allahabad, 26/03/2019

Peer Reviewed Journal Publications

1. Gangrade S., Sharma P.C., Sharma A.K, Singh Y.P.(2024)”Modified DeeplabV3+ with multi-level
context attention mechanism for colonoscopy polyp segmentation” ,Computers in Biology and
Medicine,Volume 170,2024,108096,ISSN 0010-4825,
https://doi.org/10.1016/j.compbiomed.2024.108096.
2. Kumar, A.,Singh, Y.P.,Gupta, A.,Bhagat, M. (2022) “A Deep Neural Network for Classification of
Land Use Satellite Datasets in Mining Environments” Journal of Mining and Environment.
DOI: 10.22044/jme.2022.12262.2224
3. Singh, Y.P., Singh, R.P., Singh, A.K., Yadav, D.K. (2015), “Using GIS and Remote Sensing Technique
for Zoning of Wastewater Drainage of Allahabad City”, International Journal of Advanced Remote
Sensing and GIS, Vol 4, No 1 (2015), pp. 1419-1434
4. Singh, Y. P., Singh, A. K., & Singh, R. P. (2016). Web-GIS based Framework for Solid Waste
Complaint Management for Sustainable and Smart City. International Journal of Advanced
Remote Sensing and GIS, Vol 5, No 10 (2016), pp. 1930-1936

Workshops/FDP and Conferences Attended

1. STC on “Effective Teaching Learning using Social Media” held on 05/06/2023 to 09/06/2023
at NITTTR, Chandigarh
2. One Week Online Faculty Development Programme on “Big Data and Analytics” held on
03/04/2023 to 07/04/2023 at Dr B R Ambedkar National Institute of Technology Jalandhar.
3. workshop on “Effective Teaching-Learning Environment using ICT Tools held on 19/12/2022
to21/12/2022 at Manipal University Jaipur
4. Implications of Outcome Based Learning Pedagogy in Higher Education held on12/12/2022 to
16/12/2022 at Manipal University Jaipur
5. One week FDP on “MATLAB for Engineering Applications” held on 18/04/2022 to 22/04/2022,
at

Publications

Rayhane Sadeghi – Network Visualization- Women Researcher Award

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Rayhane Sadeghi – Network Visualization

Ms.  Rayhane Sadeghi distinguished academic and researcher in the field  Network Visualization. Her research interests lie at the intersection of physics and computer science, with a focal point on machine learning and its applications in solar physics research and astronomy. She is particularly intrigued by the dynamic behavior of the Sun and its implications for space weather and our comprehension of the universe.

 

🌐 Professional Profiles

Educations: 📚🎓

She pursued her academic journey in Physics with a specialization in Plasma from 2019 to 2022 at Payam e Noor University and Amirkabir University of Technology in Tehran, Iran. Her thesis focused on investigating the dynamic behavior of solar chromospheric bright points within network Python frameworks and internetwork Energy Engineering-Radiation applications. Prior to her M.Sc, she completed her undergraduate studies from 2010 to 2014 at the Karaj Branch of Islamic Azad University in Iran, majoring in Electrical Engineering-Electronics. Her thesis during this period explored the application of wavelet transform in power quality evaluation, blending mathematics and physics. Before her undergraduate studies, she attended the National Organization for Development of Exceptional Talents (NODET) from 2003 to 2010 in Karaj, Iran.

Research Fields:

One area of particular interest to her is the utilization of machine learning techniques to analyze data from the IRIS and HINODE spacecraft. These missions have bestowed unprecedented views of the Sun’s atmosphere, generating vast datasets exploitable for studying a myriad of phenomena, from magnetic reconnection events to coronal loop dynamics. Additionally, she harbors curiosity about amalgamating physics and computer science in diverse research realms, such as formulating new algorithms for astronomical data analysis or employing machine learning to model intricate physical systems.

Within the realm of solar physics, she aims to delve into various topics, encompassing the mechanisms propelling the Sun’s magnetic field, the characteristics of solar flares and coronal mass ejections, and the interplay between the solar wind and the Earth’s magnetosphere. Through the development of novel tools and techniques for scrutinizing solar data, she aspires to enrich our comprehension of these phenomena and contribute to the broader expanse of space science.

In sum, she is eager to pursue a PhD in this domain and collaborate with leading researchers to craft innovative methods for investigating the Sun and other celestial entities. She holds the conviction that the amalgamation of physics and computer science offers a potent avenue for advancing our cosmic understanding and devising inventive solutions to intricate problems. As a dedicated and impassioned researcher, she is resolute in her commitment to making significant strides in this field and propelling our understanding of the cosmos.

Award

She is a remarkable individual, recognized as the top graduate in both the first district of Payame Noor University and across Tehran province. Her excellence extends beyond academia, as demonstrated by her achievements, including winning the 22nd Khwarizmi Youth Awards for her innovative work on Alborz state security robots. Additionally, she has been honored with certificates from prestigious competitions such as the Demo of 3rd Iran Open Robotic Competition at QIAU and the 5th Smart Mice and Robotic Competition at Islamic Azad University, Tabriz Branch. Her dedication and ingenuity in the field of robotics showcase her as a standout talent in her field.

 

Conference

She is an accomplished researcher who has made significant contributions to various scientific symposiums and conferences. Her expertise spans multiple disciplines, including physics, solar physics, and geophysics. Notably, she has presented oral presentations and posters on topics such as characterizing solar spicules, exploring damping properties of iris bright points, and investigating magnetic bright point characteristics. Her use of advanced techniques like machine learning, deep learning, and spectral analysis highlights her innovative approach to research. Additionally, her presentations on topics such as geometric components of resistivity measurement and the performance of well logging tools demonstrate her proficiency in geophysical investigations. With her collaborative efforts in poster presentations, she showcases her ability to work effectively within research teams. Overall, her contributions to the scientific community underscore her as a dedicated and accomplished researcher in her field.

 

 📚Top Noted Publication

Tianzhu Guan- Biological Networks – Young Scientist Award

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Tianzhu Guan- Biological Networks

Dr. Tianzhu Guan distinguished academic and researcher in the field Biological Network.  Tianzhu Guan a recipient of the 2020 Excellent PhD in the “Green and Golden Phoenix Plan” in Yangzhou City, specializes in the development of nutritional foods with dual applications in medicine and nutrition. His expertise lies at the intersection of cutting-edge scientific disciplines, where he seamlessly integrates Network Science and Graph Analytics into his research. Driven by a passion for advancing food safety, he has a keen focus on the recognition and detection of food hazard factors.

In his groundbreaking work , Tianzhu Guan employs a multifaceted approach, combining molecular techniques such as Molecular Docking, Molecular Dynamic Simulation, and Quantum Chemical Calculation. These methodologies enable him to delve into the intricate molecular interactions within food components, paving the way for innovative solutions in the development of nutritionally enriched foods.

Beyond his computational prowess, He is well-versed in experimental techniques, including Molecular Biology, Western-Blot, and SDS-Page. This dual proficiency empowers him to bridge the gap between theoretical predictions and practical applications, ensuring a comprehensive understanding of the complex relationships between food and medicine.

He is a visionary researcher who not only excels in the theoretical realms of his field but also possesses the practical skills necessary for translating his findings into tangible advancements. His holistic approach to scientific inquiry positions him as a trailblazer in the realm of nutrition and food safety.

Education

He, having pursued a dedicated academic journey, holds a comprehensive educational background in Food Science and Engineering. His academic pursuits commenced with a Bachelor’s degree in Grain Engineering from Jilin Agricultural University, spanning from September 2010 to July 2014. Building upon this foundation, he advanced to earn a Master’s degree in Food Science and Engineering at Jilin University, completing the program from September 2014 to July 2016. His scholarly pursuits culminated in a PhD in Food Science and Engineering from Jilin University, where he engaged in advanced research and academic exploration from September 2016 to October 2019. This extensive and progressively specialized education equips him with a solid foundation and expertise in the intricacies of food science and engineering.

Professional Profiles:

Research Awards

He has garnered significant recognition for his impactful contributions to the field, exemplified by the prestigious Jilin Province Science and Technology Awards. In 2022, he received the second prize in the Natural Science category for his outstanding work on the Mechanism Study of Small Molecule Disruptors in Regulating Estrogen Receptors, demonstrating a keen understanding of the intricate molecular processes involved. Prior to this achievement, in 2020, he secured another second prize in the Natural Science category for his research titled Evaluation of endocrine disrupting effects and residual detection of typical persistent organic pollutants based on receptor recognition. His consistent success in earning accolades underscores his expertise and dedication to advancing scientific knowledge in the domain of endocrine disruption and receptor recognition, further solidifying his position as a distinguished contributor to the field of science and technology.

Funding

⚫ Natural Science Fund for Colleges and Universities in Jiangsu Province of China
(Grant No. 20KJB550002)
⚫ National Youth Talent Sup- port Program of the China Association for Science
and Technology (Grant No. 20220615ZZ07110388)
⚫ Natural Science Foundation of Jiangsu Province, China (Grant No.
BK20200954)
⚫ Laboratory of Xinjiang Native Medicinal and Edible Plant Resources Chemistry,
Kashi University (Grant No. KSUZDSYS202305) Skills

Publication

 

Kareem M. Selem – Network Science and Graph Analytics – Best Researcher Award

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Kareem M. Selem – Network Science and Graph Analytics

Dr.   Kareem M. Selem distinguished academic and researcher in the field Network science and Graph Analytics. My academic journey began with undergraduate studies from October 2010 to May 2014, where I pursued a BSc in Hotel Management from the Faculty of Tourism and Hotels at Suez Canal University in Ismailia, Egypt. I successfully obtained a degree with a remarkable 87.17%, earning an Excellent with honors.

Education

From January 2020 to October 2022, I pursued my doctoral studies, obtaining a PhD in Hotel Management from the Faculty of Tourism and Hotels at Suez Canal University in Ismailia, Egypt. My research focused on the intersection of business economics and emerging technology, specifically exploring the impact of creative destruction to achieve sustainable competitive advantage through augmented reality. The dissertation delved into the application of augmented reality in five-star hotels, employing a creative destruction approach to practices. Through an experimental study, I assessed the effectiveness of augmented reality in enhancing the hotel workplace, enabling employees to develop their knowledge and unleash latent talents. I received an excellent degree with a recommendation to publish the thesis at the level of Egyptian and Arab universities.

Prior to my doctoral studies, I completed my Master’s degree from October 2016 to October 2019, earning an MSc in Hotel Management from the same faculty. My master’s thesis, titled “Assessment of occupational health and safety measures for staff in the food and beverage department: Applied to some three-star hotels,” focused on managing human resources in the service sector, particularly the hospitality industry. The research centered on implementing global standards, specifically “ISO 45001-2018,” to ensure strict measures for maintaining the health and safety of employees in the workplace. I received an excellent degree with a recommendation to publish the thesis at the level of Egyptian and Arab universities.

Professional Profiles:

REVIEWER (Journals – ad hoc and regular)
 Journal of Hospitality and Tourism Management – (Q1/SSCI)
 International Journal of Contemporary Hospitality Management – (Q1/SSCI)
 Tourism Management Perspectives – (Q1/SSCI)
 International Journal of Hospitality Management – (Q1/SSCI)
 Frontiers in Psychology – (Q1/SSCI)
 Heliyon – (Q2/SCIE)
 Tourism and Hospitality Management – (Q3/ESCI)
WORKSHOPS

In December 2023, he actively participated in two valuable workshops organized by the Elsevier Researcher Academy. The first workshop, held on the 1st of December 2023, focused on “How to identify research gaps.” This session likely provided him with insights and strategies to enhance his ability to discern gaps in existing research, a crucial skill for any researcher looking to contribute meaningfully to their field.

Shortly thereafter, on the 11th of December 2023, he engaged in another workshop titled “Funding hacks for researchers.” This session, hosted by Elsevier Researcher Academy, likely equipped him with practical knowledge and strategies to secure funding for his research endeavors, an essential aspect of advancing in the academic and research domains.

Additionally, he attended a workshop on the 16th of October 2023, which centered around the topic of “Using proper manuscript language.” This workshop, also organized by Elsevier Researcher Academy, likely provided him with valuable insights into crafting manuscripts effectively, ensuring that his research findings are communicated in a clear and compelling manner for publication.

These workshops, collectively, reflect his commitment to continuous learning and professional development, showcasing a proactive approach to staying abreast of the latest tools, methodologies, and best practices in the realm of research and academia.

 

AWARDS
On the 18th of November 2023, he participated in a significant event at Suez Canal University in Ismailia, Egypt. The focus of this event was “International Publishing in Humanities and Social Sciences within High Impact Factor Journals.” By attending this event, he likely gained valuable insights into the intricacies of publishing research in international journals with high impact factors. Such knowledge is crucial for researchers in the humanities and social sciences, as it aids in understanding the standards and requirements necessary to contribute to reputable and influential academic publications. This event at Suez Canal University likely served as a platform for enhancing his understanding of the publishing landscape and honing the skills needed to disseminate his research effectively on an international scale.
OTHER ACTIVITIES

Since November 2016, I have been actively engaged in various roles within the Faculty of Tourism and Hotels at Suez Canal University in Egypt. My journey began with my involvement in the Information Technology Unit from November 2017 to February 2022, where I contributed to the technological advancements within the faculty. Subsequently, I transitioned into the role of overseeing Strategic Planning Standards, a position I have held since November 2016.

In May 2021, I extended my influence by becoming a part of the Academic and Educational Programs Standard committee, demonstrating my commitment to enhancing the quality and standards of educational offerings within the faculty. Furthermore, in December 2021, I took on responsibilities within the International Cooperation Unit, emphasizing my dedication to fostering global collaborations and partnerships.

My involvement has continued to evolve, and since November 2023, I have been an active member of the Cultural Relations Committee. This ongoing commitment reflects my dedication to promoting cultural exchange and understanding within the academic community at Suez Canal University. Overall, my multifaceted engagement demonstrates my comprehensive contribution to the Faculty of Tourism and Hotels, aligning with its objectives and fostering its continuous development.

WORKING EXPERIENCE

Since March 2016, he has been actively involved in the academic field, progressing through various roles within the Hotel Management Department at the Faculty of Tourism and Hotels, Suez Canal University in Egypt. Starting as a Demonstrator, he imparted knowledge in areas such as Hotel Cost Accounting, Hotel Marketing Management, Hospitality Industry Principles, and Housekeeping and Décor Management.

His dedication and expertise led to his promotion to Assistant Lecturer from October 2019 to December 2022, during which he expanded his instructional repertoire to include subjects like Hotel Environment Management, Market Research, Management Information Systems, Food and Beverage Quality Control, and Human Resource Development. Continuing his academic journey, he currently serves as a Lecturer from January 2023, covering a diverse range of topics such as Crisis Management in the Hospitality Industry, Social Media Management, Computer Applications in Hotels, Occupational Health and Safety Management, Restaurant Service Arts, Food and Beverages Safety, Banquet and Conference Management, Strategic Planning in the Hospitality Industry, International Cuisines, Principles of Statistics, and Front Office Management.

Concurrently, he has taken on the responsibility of mentoring PhD candidates, focusing on the application of artificial intelligence in Egyptian hotels since December 2022. Additionally, he holds the position of Coordinator for the Scientific Research Standard at the Faculty of Tourism and Hotels, actively contributing to the academic and research excellence of the institution since June 2023.

PUBLICATIONS

 

 

Sajal Halder – Network Science – Best Researcher Award

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Sajal Halder – Network Science

Dr. Sajal Halder distinguished academic and researcher in the field Network science. He is currently working as a Research Fellow at Charles Sturt University, Australia. He has completed PhD in Computer Science at RMIT University and he has been appointed as an Assistant Professor (on study leave) at Jagannath University, Bangladesh since August 2017. His research interests are Personalized Itinerary Recommendation Systems, Machine Learning, Data Mining, Periodic Behavior Mining in Large-Scale Graph, Trajectory Behavior Analysis and Real Life Big Data Analysis.

Eduvation

He completed his academic journey with a stellar record, culminating in a Doctor of Philosophy (PhD) from the School of Computing Technologies at the Royal Melbourne Institute of Technology (RMIT) University in Melbourne, Victoria, Australia, with graduation in December 2022. His research focus during his doctoral studies was on the development of itinerary recommendation systems using deep learning methodologies. Under the guidance of A/Prof Jeffrey Chan and Prof. Xiuzhen Zhang, he contributed to the advancement of knowledge in this domain.

Prior to his doctoral pursuits, He earned a Master of Engineering in Computer Engineering from Kyung Hee University in South Korea, graduating with distinction in August 2013. His academic excellence is underscored by an impressive Cumulative Grade Point Average (CGPA) of 4.23/4.30 (95.25%). His master’s thesis, conducted under the supervision of Prof. Young-Koo Lee, delved into the exploration of supergraph-based periodic behaviors mining in dynamic social networks.

Commencing his academic journey,  he achieved a Bachelor of Science in Computer Science and Engineering from the University of Dhaka, Bangladesh, with graduation in November 2010. Displaying academic prowess, he secured a CGPA of 3.60/4.00, securing the 5th position out of 59 students. His final undergraduate project, conducted under the guidance of Supervisor Ashis Kumar Biswas, focused on the classification of multiple protein sequences through the analysis of irredundant patterns.

In summary, his educational background reflects a trajectory marked by academic excellence and a commitment to cutting-edge research in the fields of computer science and engineering.

Professional Profiles:

EXPERIENCE

• We developed a metadata-based malicious and benign package detection model for the NPM repository.
• We introduced two sets of features, easy to manipulate (ETM) and difficult to manipulate (DTM),
where manipulating DTM depends on long-term planning and monotonic properties. Then, we verify
our feature selection effectiveness based on four well known machine learning and one deep learning
techniques.
• We also analyse algorithms’ performance using metadata manipulation and recommend better metadata adversarial attack-resistant algorithms.
• Experiment analysis shows that our proposed model reduces 97.56% False Positive and 80.35 % False
Negative number.
• Achievement 1: Sajal Halder et al. ”Malicious Package Detection using Metadata Information”, In
submission (A* Conference).
• Achievement 2: Sajal Halder et al. ”Install Time Malicious Package Detection on NPM Repository”,
In process.
Skills: Feature Engineering, Data Scraping, Open Source Software, Machine Learning Model, Deep Learning,
Python, Report/Article Writing, Data Visualization and Teamw

PhD Researcher, RMIT University Melbourne, Australia.

i. Project Title: Capacity aware Fair POI Recommendation using Users Satisfaction.
Innovation: Design a novel fair POI recommendation model considering POI capacity and users preferences.
Language and Tools: Python, Actor-critic network, GCN, Tensorflow, Neural Network, Graph Allocation and Optimization
Duration: July 2021 to date.
ii. Project Title: Deep reinforcement learning of dynamic POI generation and optimization for itinerary
recommendation
Innovation: Propose and implement deep actor-critic network based itinerary recommendation model
named DRLIR.
Language and Tools: Python, AWS, Actor-critic network, GCN, Tensorflow, Neural Network
Duration: January 2021 to June 2021.
iii. Project Title: POI Recommendation with Queuing Time and User Interest Awareness
Innovation: Improve users interest based multi-tasking based transformer architecture models (TLR U
and TLR-M UI) for best POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: March 2020 to December 2020.
iv. Project Title: Transformer-based Multi-tasking for Queuing Time Aware Next POI Recommendation
Innovation: Design and implement multi-tasking based transformer architecture models (TLR and
TLR-M) for better POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: August 2019 to February 2020.
v. Project Title: Efficient Itinerary Recommendation via Personalized POI Selection and Pruning
Innovation: Develop efficient personalized itinerary recommendation model (EffiTourRec).
Language and Tools: R-studio, Lucid Chart, Overleaf, MatLab.
Duration: August 2018 to July 2019.

Research/Project Member
i Research Group: VLSI Research Group, Department o f Computer Science and Engineering, University of Dhaka, Bangladesh
Supervisor: Professor Dr. Hafiz Md. Hasan Babu
Duration: July 2016 to June 2018.
ii Project Name: Establishment of Basic Campus Network in Jagannath University
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: January 2017 to July 2018.
iii Project Name: Establishment of Basic Campus Network on Bangabandhu Sheikh Mujibur Rahman
Science & Technology University,
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: June 2015 to July 2016

Journal/ Conference Reviewers

• Engineering Applications of Artificial Intelligence (Q1 Ranked Journal, IF: 7.8)
• Information Process and Management (Q1 Ranked Journal, IF: 7.47)
• Applied Soft Computing (Q1 Ranked Journal, IF: 8.7)
• Scientific Reports (Q1 Ranked Journal, IF: 4.6)
• IEEE Transactions on Computational Social Systems (Q1 Ranked Journal, IF: 4.74)
• Transactions on Knowledge Discovery from Data (Q1 Ranked Journal, IF: 4.2)
• IEEE Access (Q1 Ranked Journal, IF 3.367)
• Expert System with Applications, (Q1 Ranked Journal, IF 6.954)
• World Wide Web (Q1 Ranked Journal, IF: 3.00)
• Knowledge and Information Systems (Q1 Ranked Journal, IF: 2.82)
• Neural Processing Letters (IF: 3.1)

SELECTED PUBLICATIONS

1. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang.A Survey on Personalized Itinerary
Recommendation: From Optimisation to Deep Learning. In Applied Soft Computing Journal, 111200,
2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

2. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. In Applied Soft
Computing Journal, pages 110720, 2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

3. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. POI Recommendation with Queuing
Time and User Interest Awareness. In Data Mining and Knowledge Discovery, 2022, Q1 Ranked
Journal, (Impact Factor – 5.406). Publisher: Springer.

4. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Efficient Itinerary Recommendation
via Personalised POI Selection and Pruning. In Knowledge and Information Systems, Volume 64, Pages
963–993, 2022. Q1 Ranked Journal, (Impact Factor – 2.53), Publisher: Springer.

5. Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Transformer-based Multi-task
Learning for Queuing Time Aware Next POI Recommendation. In the 25th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD-2021), A Ranked Conference.

6. Sajal Halder, Md. Samiullah and Young-Koo Lee. Supergraph based Periodic Patterns Mining in
Dynamic Social Networks. Expert Systems with Applications-An International Journal. volume 72,
pages 430-442, 2017, Q1 Ranked Journal, (Impact Factor – 6.954). Publisher: Elsevier.
7. MS Rahman, Sajal Halder, MA Uddin, UK Acharjee, An efficient hybrid system for anomaly detection in social networks. In Cybersecurity, Q1 ranked Journal, (Impact Factor – 6.27), 2021, Volume 4,
Pages 1-11, Publisher: Springer.

8. Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, YoungKoo Lee, Sungyoung Lee. Smart CDSS: Integration of Social Media Interaction Engine (SMIE) in
Healthcare for Chronic Disease Patients. Multimedia Tools and Applications, pages 1-21, 2013, Q1
Ranked Journal, (Impact Factor – 2.757), Publisher: Springer.

9. Yongkoo Han, Kisung Park, Donghai Guan, Sajal Halder, and Young-Koo Lee. Topological Similarity
based Feature Selection for Graph Classification. In the Computer Journal, bxt123, 2013, Q2 Ranked
Journal, (Impact Factor – 0.755), Publisher: Oxford University Press.