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

Zhang Yiwei- Network Science – Best Researcher Award

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Zhang Yiwei- Network Science

Dr. Zhang Yiwei  distinguished academic and researcher in the field Network Science. He is currently serving as an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology. His primary research interests in pure mathematics revolve around the interplay of dynamical systems, ergodic theory, probability theory, and optimizations. His work delves into the statistical properties of dynamical systems, particularly those generated by iterations of maps exhibiting a certain level of hyperbolicity. Emphasizing probabilistic studies, he explores topics such as ergodic optimization and thermodynamics formalism problems associated with the invariant measures of these systems.

Beyond theoretical pursuits, he actively engages in the practical applications of his research, modeling dynamics in real-world systems such as data-driven dynamical systems in cell biology and neuroscience. With an impressive track record, he has authored 24 manuscripts in peer-reviewed journals, collaborated with distinguished mathematicians, and received prestigious awards, including the Chen Shengshen Prize of Mathematics from the Chinese Mathematical Society and the Marc Yor Prize from the French Academy of Sciences. Notably, in 2020, he and his collaborators successfully resolved a 20-year-long standing conjecture in ergodic optimization originally proposed by Professors G. Yuan and B. Hunt at the University of Maryland in 1999.

Professional Profiles:

Publication
• Jian Ding, Zhiqiang Li and Yiwei Zhang, On the prevalence of the periodicity of maximizing
measures, Accepted for publication in Advance in Mathematics, (2023).
• Xiaobo Hou, Xueting Tian, and Yiwei Zhang, Topological structures on saturated sets,
optimal orbits and equilibrium states, Discrete Contin. Dyn. Syst. Series A, (2023), no. 43,
771-806.
2 • Xiankun Ren, Wenda Zhang, Yiwei Zhang, Upper capacity entropy and packing entropy
of saturated sets for amenable group actions, Discrete Contin. Dyn. Syst. Series A, (2023)
no. 43, 2812-2834.
• Jianyu Chen, Hongkun Zhang, and Yiwei Zhang, On Coupling Lemma and Stochastic
Properties for One-dimensional Expanding Maps, J. Dyn Differ Equat. (2022).
• Stefano Galatalo, Mark Holland, Tomas Persson and Yiwei Zhang, Anomalous time-scaling
of extreme events in infinite systems and Birkhoff sums of infinite observables, Discrete
Contin. Dyn. Syst. Series A, 41(2021), no.4, 1799-1841.
• Lulu Fang, Hiroki Takahasi and Yiwei Zhang, Precise asymptotics on the Birkhoff sums
for dynamical systems, Nonlinearity, 34(2021), no. 10, 7095-7108.
• Charles Bordenave, Yanqi Qiu and Yiwei Zhang, Spectral gap of sparse bistochastic matrices with exchangeable rows, Annales de l’Institut Henri Poincar´e – Probabilit´es et
Statistiques, 56(2020), no. 4, 2971-2995;
• Qianying Xiao and Yiwei Zhang, On the computation of extended rescaled Poincar´e map
for singular vector fields, Dyn. Syst, 35(2020), no. 2, 259-274.
• Hongfei Cui, Lulu Fang, Yiwei Zhang, A note on the run length function for intermittent
maps, J. Math. Anal. Appl. 472(2019), no.1, 937-946.
• Jiaojiao Yang, Min Wu, and Yiwei Zhang, Quasi-Lipschitz mapping, correlation and local
dimensions, Chaos, Solitons & Fractals, 105(2017), 224-229.
• Junlin Li, Hongbo Fu, Ziying He and Yiwei Zhang, Strong approximation rate for Wiener
process by fast oscillating integrated Ornstein-Uhlenbeck processes, Chaos, Solitons & Fractals. 113(2018), 314-325.
• Byott Nigel P., Lin Congping and Yiwei Zhang. On the mixing properties of piecewise
expanding maps under composition with permutations II: Maps of non-constant orientation,
Stoch. Dyn. 16(2016), no. 3. 1660013
• Ana Rodrigues and Yiwei Zhang, Fair measure and fair entropy for non-Markov interval
maps, Stoch. Dyn. (2016), no. 16, 1750035.
• Bochi Jairo and Yiwei Zhang, Ergodic optimization of prevalent super-continuous functions, Int. Math. Res. Not. IMRN(2016), no. 19, 5988-6017.

Abdul Ahad- Network – Young Scientist Award

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Abdul Ahad- Network

Dr. Abdul Ahad  distinguished academic and researcher in the field Network. Throughout his academic and professional journey, he actively participated in various workshops to enhance his skills and contribute to the academic community. He attended a 1-Day Faculty/Quality Directions Training on “Outcome Based Education” organized by the Pakistan Engineering Council at UMT, Sialkot, Pakistan. Additionally, he engaged in a series of workshops at the same institution, including a hands-on training workshop on Outcome Based Education (OBE) facilitated by Dr. Abdul Ahad, as well as workshops on writing top-notch research papers, streamlining writing with Overleaf/LaTeX, and launching research journeys.

Dr. Abdul Ahad also conducted a workshop on “Unveiling the Causes of Delay in Attaining PhD and Master’s Degrees: Strategies and Solutions for Timely Completion” at Govt. Degree College, Kabal, Swat, Pakistan, addressing the concerns of students. Further expanding his reach, he conducted a workshop on “Empowering Your Academic Writing with Overleaf/LaTeX” at Taylor’s University of Malaysia. These experiences underscore his commitment to professional development and knowledge dissemination in the realms of education and research.

Education

He earned his Ph.D. in Computer Science from Sunway University, Malaysia, spanning the years 2018 to 2022. Prior to his doctoral studies, he completed a Master’s degree in Computer Science at the Virtual University of Pakistan from 2015 to 2017. Earlier in his academic journey, he obtained a Master of Science degree in Computer Science from Swat University of Pakistan between 2012 and 2014. Complementing his academic achievements, he also pursued professional development by earning a Bachelor’s of Education (Be.D.) from Allama Iqbal Open University, Islamabad, Pakistan, during the academic year 2013 to 2014. Additionally, he holds a Diploma in Information Technology (DIT) from the Board of Technical Education, Peshawar, Pakistan. This comprehensive educational background reflects his dedication to advancing his knowledge and expertise in the fields of Computer Science and Information Technology.

Professional Profiles:

Employment History

In his multifaceted employment history, he has showcased versatility and expertise in various roles. Currently serving as a Visiting Researcher at Istanbul Technical University, Turkey, he is actively engaged in cutting-edge projects. His focus includes energy-efficient routing in Heterogeneous 5G Wireless Sensor Networks using game theory and the development of a heart stroke detection system employing Fuzzy K-Nearest Neighbor and Artificial Neural Network with Chi-Square and Best First Search algorithms.

Prior to this, he served as a Data Processing Officer for the Government of Pakistan, Revenue Department, where he managed data, implemented information systems, ensured data security, and handled backup and recovery processes. Concurrently, he held the position of Visiting Lecturer and Research Assistant at The University of Buner, Pakistan, where he contributed to both teaching and research endeavors, overseeing undergraduate and graduate students. His prior experiences also encompassed roles as a Teaching Assistant at Sunway University, Malaysia, and as a Visiting Lecturer at Govt. PG. Jahanzeb College Swat, Pakistan.

Earlier in his career, he served as an O & A Level Teacher and Network Administrator at The City School Swat Campus, responsible for teaching, network design, and maintenance. He also worked as a Network Administrator at Maxtech Institute, Virtual University Campus Mingora, Swat, Pakistan, where he played a pivotal role in network design, implementation, and maintenance, emphasizing security protocols. This comprehensive narrative reflects his extensive and dynamic professional journey across academia, research, and technology-driven roles.

Member of Conferences
In his commitment to advancing research and fostering collaboration, he has actively participated in several prominent international conferences and academic networks. Serving as the Workshop Chair, Sessions Chair, and Reviewer for the IEEE Conference Turkey 2023: The 10th International Conference on Wireless Networks and Mobile Communications, he demonstrated his leadership and expertise in the field.
Additionally, he contributed to the EAI HealthyIoT Conference Portugal 2023 as a Technical Committee Member, Sessions Chair, and Reviewer, showcasing his involvement in IoT technologies for healthcare. Similarly, he played key roles in the EAI GOODTECHS Conference Portugal 2023, serving as a Technical Committee Member, Sessions Chair, and Reviewer, emphasizing smart objects and technologies for social good.
Further extending his influence, he assumed the responsibilities of Workshop Chair, Sessions Chair, and Reviewer at the IEEE Conference Saudi Arabia 2023: International Conference on Smart Computing and Application. In tandem with his conference engagements, he holds memberships in various European Cooperation in Science and Technology (COST) Actions, including CA22104 (Behavioral Next Generation in Wireless Networks for Cyber Security), CA20104 (Network on evidence-based physical activity in old age – PhysAgeNet), CA19121 (Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living – GoodBrother), and CA19136 (International Interdisciplinary Network on Smart Healthy Age-friendly Environments – NET4AGE-FRIENDLY). Through his active involvement in these conferences and networks, he has significantly contributed to the advancement of knowledge and collaboration in his areas of expertise.
Areas of Interest
Research interests include 5G, 6G, Internet of Things, Smart Healthcare, Smart Cities, Wireless Networks, Wireless Body Area Networks (WBAN), Security and Privacy, Intelligent
Transportation and Artificial Intelligence.
Journal Reviewer
I regularly review many journals and conferences including Future Generation Computer
Systems, IEEE Access, IEEE Sensor, Computer Networks, Internet of Things (Elsevier), Connection Sciences, Peer J: Computer Sciences, International Journal of Distributed Sensor
Networks, Applied Sciences, MDPI Sensors, Array and others.
Research Publications
1 Ahad, A., Ali, Z., Mateen, A., Tahir, M., Hannan, A., Garcia, N. M., & Pires, I. M. (2023). A comprehensive
review on 5g-based smart healthcare network security: Taxonomy, issues, solutions and future research
directions. Array, 100290.
2 Butt, H. A., Ahad, A., Wasim, M., Shayea, I., Coelho, P. J., Pires, I. M., & Garcia, N. M. (2023). Federated
machine learning in 5g smart healthcare: A security perspective review. Procedia Computer Science, 224,
580–586.
3 Mateen, A., Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M., & Ali, A. (2023). Smart energy management
system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic
flower pollination algorithm. Alexandria Engineering Journal, 77, 593–611.
4 Mughees, A., Tahir, M., Sheikh, M. A., Amphawan, A., Meng, Y. K., Ahad, A., & Chamran, K. (2023).
Energy-efficient joint resource allocation in 5g hetnet using multi-agent parameterized deep
reinforcement learning. Physical Communication, 102206.
5 Noreen, R., Zafar, A., Waheed, T., Wasim, M., Ahad, A., Coelho, P. J., & Pires, I. M. (2023). Unraveling the
inner world of phd scholars with sentiment analysis for mental health prognosis. Behaviour &
Information Technology, 1–13.
6 Ahad, A., & Tahir, M. (2022). Perspective—6g and iot for intelligent healthcare: Challenges and future
research directions. ECS Sensors Plus.
8 Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., & Mughees, A. (2021). An intelligent clustering-based
routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning.
Applied Sciences, 11(21), 9993.
9 Istiaque Ahmed, K., Tahir, M., Hadi Habaebi, M., Lun Lau, S., & Ahad, A. (2021). Machine learning for
authentication and authorization in iot: Taxonomy, challenges and future research direction. Sensors,
21(15), 5122.
10 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2021b). Energy-efficient ultra-dense 5g networks:
Recent advances, taxonomy and future research directions. IEEE Access.
11 Ahad, A., Tahir, M., Aman Sheikh, M., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies
trend towards 5g network for smart health-care using iot: A review. Sensors, 20(14), 4047.
12 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2020). Towards energy efficient 5g networks using
machine learning: Taxonomy, research challenges, and future research directions. IEEE Access, 8,
187498–187522.
13 Tahir, M., Habaebi, M. H., Dabbagh, M., Mughees, A., Ahad, A., & Ahmed, K. I. (2020). A review on
application of blockchain in 5g and beyond networks: Taxonomy, field-trials, challenges and
opportunities. IEEE Access, 8, 115876–115904.
14 Ahad, A., Tahir, M., & Yau, K.-L. A. (2019). 5g-based smart healthcare network: Architecture, taxonomy,
challenges and future research directions. IEEE access, 7, 100747–100762.
15 Ahad, A., Al Faisal, S., Ali, F., Jan, B., Ullah, N. et al. (2017). Design and performance analysis of dss (dual
sink based scheme) protocol for wbasns. Advances in Remote Sensing, 6(04), 245.
16 Ahad, A., Tariq, L., Niaz, S., & Inam, M. (2017). Design of secure and traceable requirement engineering
process for security-sensitive projects. Journal of Software Engineering and Applications, 10(12), 873–883.
17 Ahad, A., Ullah, Z., Amin, B., & Ahmad, A. (2017). Comparison of energy efficient routing protocols in
wireless sensor network. Am. J. Netw. Commun, 6, 67–73.

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.

Damon Centola – Networks- Best Researcher Award

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Prof. Damon Centola a distinguished academic and researcher in the field of Collective Intelligence .His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

Eduvation

He earned his educational credentials in the field of sociology, culminating in a Ph.D. from Cornell University in 2006. Prior to this, he completed his Master’s in Sociology at Cornell University in 2004, showcasing a commitment to advancing his expertise in the subject. His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

 

Professional Profiles:

Appointments
He holds a distinguished series of appointments, currently serving as the Elihu Katz Professor of Communication, Sociology, and Engineering at the University of Pennsylvania since 2021. Prior to this role, he held the position of Professor of Communication at the Annenberg School for Communication, concurrently serving as Professor of Engineering (secondary) in the School of Engineering and Applied Sciences, and Professor of Sociology (secondary) in the School of Arts and Sciences at the University of Pennsylvania from 2019 to 2021.
In 2019, he assumed the role of Senior Fellow at the Penn LDI Center for Health Incentives and Behavioral Economics, and became a faculty member at both the Penn Population Studies Center and the Penn Master of Behavioral and Decision Sciences Program. Since 2013, he has been a faculty member at the Penn Warren Center for Network and Data Sciences, concurrently directing the Network Dynamics Group. His academic journey includes serving as an Associate Professor at the Annenberg School for Communication and the School of Engineering and Applied Sciences at the University of Pennsylvania from 2013 to 2019. Prior to joining the University of Pennsylvania, he was an Assistant Professor at the MIT Sloan School of Management from 2008 to 2013. Notably, in 2006-08, he held the prestigious position of Robert Wood Johnson Scholar in Health Policy at Harvard University, and in 2001-02, he was a Visiting Scholar at The Brookings Institution.

Research

Social Change, Diffusion of Innovations and Ideas, Simple and Complex Contagions, Structural
Inequality, Medical Bias, Collective Intelligence, Social Epidemiology, Collective Action and
Social Movements, Sustainability and Climate Change, Cultural Evolution and Norms, Social
Networks, Centrality and Influence, Online Experimental Methods, Computational Social Science

Awards and Fellowships

He has amassed a plethora of accolades and honors throughout his illustrious career. In 2019, he earned the prestigious Harrison White Outstanding Book Award from the American Sociological Association and was honored with the Top Paper Award in Health Communication by the International Communication Association. His notable contributions were further underscored by the receipt of the Best Paper Award at the 2018 International Conference on Computational Social Science and the James Coleman Award for Outstanding Article from the American Sociological Association in 2017. The year 2016 brought the distinction of being named a Wharton Mack Institute Fellow. Over the academic year 2014-15, he held fellowships at both the Center for Advanced Study in the Behavioral Sciences at Stanford University and the Lenore Annenberg and Wallis Annenberg Endowment for Communication.

A significant highlight in 2014 was the award of U.S. Patent #8713143, recognizing his innovative method of creating social networks to facilitate behavior change. His impact also extends into the scientific realm, demonstrated by his participation in the Kavli Frontiers of Science program by the National Academy of Sciences in 2012. Early in his career, he was honored with the Leo Goodman Early Career Award in Sociological Methodology in 2011 and received the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2011, 2009, and 2006.

In 2010, he was recognized with the MIT Faculty Prize for Research in Computers and Communications. Additional accolades include the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2009 and 2006. His academic journey features prestigious fellowships, including the Columbia University Exchange Scholar Fellowship in 2004, NSF EITM Summer Fellowship in 2004, Cornell University Russell Sage Fellowship in 2002, NSF IGERT Fellowship in Non-linear Dynamics and Chaos in 2002, and the Santa Fe Institute Summer Fellowship in 2000.

Books
Centola, Damon. (expected 2024) Structural Intelligence. Cambridge, MA: MIT Press.
Centola, Damon. 2021. Change: How to Make Big Things Happen. New York: Little, Brown & Co.
• Translations into Chinese, Romanian, Korean, Russian, Dutch, Thai, Japanese, Italian, Turkish,
Portuguese (Brazil)
• Selected Reviews & Coverage: Nature, New York Journal of Books, The New York Times, NPR
Hidden Brain, Radio Times, Inside Higher Ed, Annual Reviews, The Current, Ottawa Writers Festival,
ABC Australia, Times of India
Centola, Damon. 2018. How Behavior Spreads: The Science of Complex Contagions. Princeton, NJ:
Princeton University Press.
• 2019 Harrison White Outstanding Book Award, American Sociological Association
• Translations into Chinese, Arabic, Polish
• Selected Reviews & Coverage: Science, The Journal of Mathematical Sociology, Information,
Communication & Society, New Scientist, MIT Sloan Management Review, Strategy + Business, The
American Interest, American Journal of Sociology, Contemporary Sociology
Selected Conference and Working Group Presentations
Complex Centrality and Predicting Influence,” ASA Regular Session, August 2023.
“Social tipping points for unprecedented change,” EU Learn, Knowledge Talks on Tipping Points,
threats and opportunities, June 2022.
“Reduction of race and gender bias in recommendations for clinical treatment using a clinician peer
network based intervention in experimental setting,” Annual ICA Conference, May 2022.
“Influencers and Misinformation,” DARPA Studying Long-Tailed Influencer-Enabled Crowd
Extremism, October 2021
Publication

Xin Li – Random Graph Models

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Dr. Xin Li  – Leading Researcher in Random Graph Models

 

Assist Prof Dr. Xin Li has held the position of Associate Professor in the School of Mechanical and Electrical Engineering at China University of Mining and Technology. Concurrently, since March 2023, he has also taken on the role of Postdoc Researcher at Zhejiang University and China University of Mining and Technology within the School of Mechanical Engineering. This dual academic engagement underscores his commitment to advancing research and contributing to the academic communities at both institutions.

Education📚

📚 Embarking on an academic journey, he pursued his passion for Mechanical Engineering at Qingdao University of Technology, earning a Bachelor of Arts degree from the School of Mechanical Engineering in the period spanning September 2012 to July 2016. Building upon this foundation, he delved deeper into the intricacies of the field at Hunan University, where he successfully completed his Ph.D. in Mechanical Engineering within the College of Mechanical and Vehicle Engineering from September 2016 to July 2022. This educational odyssey reflects his steadfast dedication to scholarly pursuits and the continual pursuit of knowledge. 🎓

 

Professional Profiles:

RESEARCH INTERESTS

Random Graph Models; Intelligent fault diagnosis; Machine learning; Complex systems🌞

EDITORIAL BOARD
Journal of Dynamics, Monitoring and Diagnostics
Frontiers in Mechanical Engineering

AWARDS

🏆 In recognition of his outstanding contributions to academia and research, he has been honored with a series of prestigious grants and awards. Notably, he secured the National Social Science Foundation Youth Project (62206298) for the period 2022-2025, demonstrating his prowess in the field. Further bolstering his research endeavors, he received support from the Fundamental Research Funds for the Central Universities (20230N1048) in 2023-2024. His commitment to advancing scientific knowledge is also evident through grants from the China Postdoctoral Science Foundation and the Postdoctoral Science Foundation of Zhejiang Province for the years 2023-2025. In addition, he has been recognized by the Natural Science Foundation of Jiangsu Province for the period 2023-2026, solidifying his position as a respected researcher. The accolades continue with the acknowledgment of his contributions to the academic community through the China University of Mining and Technology’s “Sailing Plan” for Young Teachers (102523236) in 2023-2024, as well as the Hunan Graduate Research Innovation Project (CX20200406) for the academic year 2021-2022. These accolades underscore his dedication and success in pushing the boundaries of knowledge in his field. 🌟

TEACHING EXPERIENCE

2023 Spring Engineering Measurement Technology
2022 Autumn Equipment health management and intelligent O&M (Graduate)

SELECTED PUBLICATIONS

Li X, Yang Y, Wu Z, et al. High-accuracy gearbox health state recognition based on graph sparse
random vector functional link network[J]. Reliability Engineering & System Safety, 2021:
108187.
Li X, Li S, Wei D, Si L, Yu K, Yan K. Dynamics Simulation-driven Fault Diagnosis of Rolling
Bearings Using Security Transfer Support Matrix Machine. Reliability Engineering & System
Safety. 2023:109882.
Li X, Cheng J, Shao H, et al. A Fusion CWSMM-based Framework for Rotating Machinery
Fault Diagnosis under Strong Interference and Imbalanced Case[J]. IEEE Transactions on
Industrial Informatics, 2021, 18(8): 5180-5189.
Li X, Shao H, Lu S, et al. Highly-efficient fault diagnosis of rotating machinery under timevarying speeds using LSISMM and small infrared thermal images[J]. IEEE Transactions on
Systems, Man and Cybernetics: Systems, 2022, 52(12): 7328-7340.

Symplectic geometry packet decomposition and its applications to gear fault diagnosis

J Cheng, Y Yang, X Li, J Cheng
Mechanical Systems and Signal Processing 174, 109096

 

Shahid Alam – Network science

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Dr. Shahid Alam – Leading Researcher in Network Science

Education📚

🎓 He pursued his academic journey in the field of Applied Physics, culminating in a Ph.D. from the GIK Institute of Engineering Sciences and Technology (GIKI), Pakistan, spanning from August 2018 to July 2021. Prior to that, he earned his Master’s degree in Applied Physics at GIKI, completing the program from January 2016 to April 2018. His educational foundation in Physics was laid during his undergraduate years, where he obtained a Bachelor of Science (Hons) in Physics from Hazara University, Mansehra, Pakistan, from September 2011 to August 2015. These years of dedicated study and research have equipped him with a strong academic background and a passion for the applied sciences. 📚🔬

 

Professional Profiles:

RESEARCH EXPERIENCE

🎓 He embarked on a fascinating research journey as a Ph.D. researcher from August 2018 to July 2021 at the Nanotechnology Research Laboratory, GIK Institute in Pakistan. Delving into the captivating realm of nanotechnology, his focus centered on unraveling the synergistic potential inherent in the combination of metal phosphates and sulfides. This exploration was driven by the aspiration to unearth novel applications in the realm of supercapattery devices, propelling the boundaries of energy storage technology.

🔬 During his tenure as an MS research student from July 2016 to April 2018 at GIK Institute, he dedicated himself to investigating innovative approaches in the field. His research endeavor revolved around the fabrication of inverted perovskite solar cells, where Cadmium Sulphide played a pivotal role as the electron transport layer. This pursuit was not merely an academic endeavor; rather, it was a passionate quest to contribute to the advancements in solar energy technology, seeking sustainable solutions for a brighter and cleaner future. 🌞

CAREER HISTORY

🎓 He has a diverse and enriching career history that spans various roles in academia and research. Since September 2021, he’s been serving as an Assistant Professor in the Department of Physics at Abbottabad University of Science and Technology in Havelian. In addition to his teaching responsibilities, he’s taken on the role of Departmental Controller of Examination since April 2022, overseeing internal examinations within the Department of Physics.

His journey in academia began as a Graduate Assistant at the GIK Institute of Engineering Sciences and Technology, Pakistan, where he was involved from January 2016 to January 2018. This early experience laid the foundation for his subsequent roles and allowed him to contribute meaningfully to the academic and research community. 🌐🔬

PUBLICATIONS
  1. Advancements in asymmetric supercapacitors: Material selection, mechanisms, and breakthroughs with metallic oxides, sulfides, and phosphates – Journal of Energy Storage, 2023, 72, 108208
  2. Binary composites of strontium oxide/polyaniline for high performance supercapattery devices
    MZ Iqbal, S Alam, AM Afzal, MJ Iqbal, K Yaqoob, MA Kamran, MRA Karim, …
    Solid State Ionics 347, 115276
  3. Green synthesis of nickel‐manganese/polyaniline‐based ternary composites for high‐performance supercapattery devices
    S Alam, MZ Iqbal, J Khan
    International Journal of Energy Research 45 (7), 11109-11122
  4. Binary composites of nickel-manganese phosphates for supercapattery devices
    M Alzaid, MZ Iqbal, S Alam, N Almoisheer, AM Afzal, S Aftab
    Journal of Energy Storage 33, 102020
  5. Recent advancement in the performance of solar cells by incorporating transition metal dichalcogenides as counter electrode and photoabsorber
    MZ Iqbal, S Alam, MM Faisal, S Khan
    International Journal of Energy Research 43 (8), 3058-3079
  6. Binary composites of sonochemically synthesized cobalt phosphates/polyaniline for supercapattery devices
    F Alam, MZ Iqbal, S Alam, N Alhassan
    Journal of Energy Storage 42, 103150
  7. Magnetron sputtered tungsten di-sulfide: An efficient battery grade electrode for supercapattery devices
    S Alam, MZ Iqbal, N Amjad, R Ali, M Alzaid
    Journal of Energy Storage 46, 103861
  8. Exalted redox frameworks of Cu-MOF/polyaniline/RGO based composite electrodes by integrating silver nanoparticles as a catalytic agent for superior energy featured supercapatteries
    M Roman, SSA Gillani, S Farid, M Shakil, R Ahmad, MZ Iqbal, MM Faisal, …
    Electrochimica Acta 400, 139489
  9. Enhanced electrochemical performance of battery‐grade cobalt phosphate via magnetron sputtered copper interfacial layer for potential supercapattery applications
    MZ Iqbal, J Khan, S Alam, R Ali, MJ Iqbal, AM Afzal, S Aftab
    International Journal of Energy Research