Shareef Mahdi- Network Science Award – Best Researcher Award

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Shareef Mahdi- Network Science Award – Best Researcher Award

Dr. Shareef Mahdi distinguished academic and researcher in the field Network Science. He is a highly motivated and dedicated doctor currently in his first year of general surgery specialty training (ST3) in the West Midlands. His clinical interests encompass oesophagogastric surgery, along with emergency general surgery, major trauma, and global/humanitarian surgery. Academically, his goal is to complete a PhD/DPhil with a focus on oesophageal or gastric cancer during the early phase of being a registrar (ST3-5), then rejoin training in the clinical academic route as an Academic Clinical Lecturer (ACL) with the aim of achieving Senior Lectureship as a Consultant. He is also keen on medical education, leadership, and management. His long-term aspiration is to undergo training in all aspects of elective oesophagogastric surgery and emergency general and major trauma surgery, and to become a substantive consultant surgeon in the NHS, while maintaining a global perspective and engaging in humanitarian surgery abroad.

🌐 Professional Profiles

Educations📚📚📚

He completed his education at Barts and The London School of Medicine and Dentistry, achieving a Master of Science with Distinction in Trauma Sciences (Military and Humanitarian) from 2020 to 2022. Prior to that, he earned a First-Class Honours iBSc in Prehospital Medicine from 2017 to 2018 and completed his MBBS in Medicine with a Final Year Merit from 2013 to 2019. In terms of postgraduate exams and courses, he successfully completed the Advanced Trauma Life Support (ATLS) Provider Course in November 2021, passed the MRCS Part B Exam in September 2021, and attended the East of England Foundation School Train The Trainer (TTT) Course in December 2020. He also passed the MRCS Part A Exam in September 2020 and completed the Basic Surgical Skills (BSS) Course in March 2020.

 

Research, Clinical Audit and Quality Improvement Experience

Research at the Royal Liverpool University Hospital (RLUH) – 2021 to 2023
• Research as part of the upper GI cancer group including basic science project looking into the utility of PDL1 checkpoint inhibition in the adjuvant setting
for patients with resected junctional adenocarcinoma and a pyloric drainage network meta-analysis (February 2022 to present)
• Quality Improvement Project looking into management of Gallstone Disease at RLUH (February 2022 to present)
• Audit of pre-operative anaemia assessment and management in upper gastrointestinal cancer surgery (May to August 2022)
• Retrospective cohort study looking into outcomes of robotic colorectal cancer surgery patients at RLUH (October 2021 to September 2022)
Research at the Centre for Trauma Sciences, Barts and The London School of Medicine and Dentistry – 2021 to 2022
• Prevalence of chronic pain after severe lower limb injury (SLLI): a systematic review and meta-analysis in partial fulfilment of MSc Dissertation (October
2021 to September 2022)
Research at the Lister Hospital – 2019 to 2021
• Retrospective cohort study highlighting changes in practice in the management of appendicitis due to COVID-19 – work submitted for publication in the
Annals of the Royal College of Surgeons (England).
• Retrospective cohort study examining documentation practice of hernia repairs over a decade – work presented at the Association of Surgeons in Training
(ASiT), March 2016 and Association of Surgeons of Great Britain and Ireland (ASGBI), July-August 2020 conferences. Accepted for publications in the Annals
of the Royal College of Surgeons (England).
Research at the Institute of Prehospital Care, London’s Air Ambulance – 2017 to 2018
• Systematic Literature Review titled ‘The Definition and Categorisation of Preventable Prehospital Trauma Deaths: Recommendation for Uniform Reporting’
in partial fulfilment of iBSc Dissertation (January 2018 to June 2018)
Research at the Royal London Hospital – 2015 to 2019
• SNAP-2: Epidemiology of Critical Care provision after surgery (EpiCCS) – July 2018 – Data collection for a multi-centre collaborative study looking at provision
of specialist care after major surgery. Contributed to data collection.
• Surgical education piece of work, in the form of a survey assessing the use of Snapchat as a means of streaming surgical procedures for training – work
presented nationally at the Global Surgical Frontiers conference at The Royal College of Surgeons, England, March 2017
• Closed loop audit on peripheral line care and patient safety on surgical wards in a large tertiary centre – work presented internationally at European Society
for Trauma and Emergency Surgery (ESTES) conference, May 2017
• Closed loop audit assessing the association between patient recall of consultant and nurse names and the presence of those names on boards near the
patients’ beds, in relation to the ‘#hellomynameis campaign – work presented nationally at ASiT conference, March 2016

Leadership, Management and Teaching Experience

  1. In his leadership, management, and teaching roles, he has demonstrated a strong commitment to fostering growth and development in various settings. Currently serving as the Junior Trainees Lead at Roux Group since February 2023, he actively encourages junior trainees to pursue careers in upper gastrointestinal or hepatopancreatobiliary surgery. He is also involved in organizing national conferences and training events. His tenure as the Staff and Associate Specialists Council (SASC) Representative at the Mersey Junior Doctor Committee (MJDC) from September 2021 to September 2022 involved advocating for colleagues at local, regional, and national levels. As a Foundation Representative for the Surgical Trainees in East of England Research (STEER) Collaborative from October 2020 to July 2021, he played a key role in organizing research activities and facilitating data collection. Additionally, his experience as Course Lead for the Surgical Skills SSC from December 2016 to July 2021 highlights his ability to design and implement educational programs effectively. He has also contributed significantly to community initiatives, such as his role as Expansion Officer at StreetDoctors Ltd from May 2018 to November 2018, where he conducted research on youth violence trends and helped expand the organization’s reach. Furthermore, his leadership roles within Barts and The London Surgical Society demonstrate his proficiency in organizing events and implementing mentorship schemes for aspiring surgeons. As a Team Leader and Project Manager at Medify Ltd from June 2015 to August 2016, he led a project aimed at providing fairer access to medical school through data collection and application support initiatives. Through these experiences, he has honed skills in leadership, communication, organization, and project management, which will undoubtedly contribute to his future endeavors in surgery and academia.

Awards and Achievements

• The Gordon Cassie Postgraduate Fund (2020)
• Royal College of Surgeons of Edinburgh (RCSEd) Africa Elective Bursary (2019)
• Institute of Medical Ethics (IME) Prize for ‘Best Poster Presentation’ at ASiT Conference (2016)
• Rod Flower Vacation Research Scholarship (2014)
• Ian Hart Vacation Research Scholarship (2013)

 

📝🔬Publications📝🔬

• Mahdi, S., Stoner, R.S., Wyatt, J., De’Ath, H., Perkins, Z. 2024. Prevalence of chronic pain after severe lower limb injury (SLLI): a
systematic review and meta-analysis. Injury.
• CholeCovid Collaborative. Mahdi, S. (collaborator), et al. 2022. Global overview of the management of acute cholecystitis during the
COVID-19 pandemic (CHOLECOVID study). Brit J Surg Open. 6 (3)
• STARSurg Collaborative. Mahdi, S. (collaborator), et al. 2022. Impact of postoperative acute kidney injury in patients undergoing
major gastrointestinal surgery on 1-year survival and renal outcomes: a national multicentre cohort study. Brit J Surg Open. 5(6)
• Farquharson, B., Sivarajah, V., Mahdi, S., Bergman, H., Jeyarajah, S. 2021. Where is the nerve? Review of operation note
documentation practice for inguinal hernia repair. Ann Roy Coll Surg.
• Sivarajah, V., Farquharson, B., Mahdi, S., Cathcart, P., Jeyarajah, S. 2020. Chronic groin pain following open inguinal hernia repair –
Has consenting practice improved? Ann Roy Coll Surg.
• GlobalSurg Collaborative. Mahdi, S. (collaborator), et al. 2019. Global variation in anastomosis and end colostomy formation
following left-sided colorectal resection. Brit J Surg Open. 3(3): 403-414
• GlobalSurg Collaborative. Mahdi, S. (collaborator), et al. 2019. Pooled analysis of WHO Surgical Safety Checklist use and mortality
after emergency laparotomy. Brit J Surg. 106(2): e103-e112

. Prevalence of chronic pain after severe lower limb injury (SLLI): a systematic review and meta-analysis

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

Michael Wang- Supply Chain Network – Best Researcher Award

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Michael Wang – Supply Chain Network

Dr. Michael Wang distinguished academic and researcher in the field Supply Chain Network. He is a Senior Lecturer in Sustainable Operations and Supply Chain Management at the Department of Management, Kingston University in London, UK. His academic journey began with a first degree in Operations and Supply Chain Management, along with Management, at the University of Auckland in New Zealand. Later, he pursued his PhD at RMIT University in Melbourne, Australia. With a wealth of experience, he has been actively involved in teaching both undergraduate and postgraduate students, supervising research candidates, and spearheading research projects across various prestigious universities in the UK, Australia, New Zealand, and the United Arab Emirates. His primary research interests encompass a broad spectrum, including supply chain management, sustainable operations, innovation management, sustainability, supply chain risk management, freight transport, and international logistics.

🌐 Professional Profiles

Educations: 📚🎓

He holds a Ph.D. from RMIT University in Melbourne, Australia, earned in 2017. Prior to that, he obtained a Master’s degree in Logistics and Supply Chain Management from Massey University in New Zealand in 2012. His academic journey began with a Bachelor of Commerce from The University of Auckland, New Zealand, which he completed in 2009.

In addition to his academic achievements, he has received recognition as a Chartered Member of the Chartered Institute of Logistics and Transport (CMILT) in the UK, Australia, New Zealand, and the UAE. He is also a Member of the Royal Society of New Zealand (MRSNZ) and has been awarded a Fellowship of the Higher Education Academy (FHEA).

His diverse educational background, coupled with professional affiliations and prestigious recognitions, reflects a comprehensive and accomplished academic profile.

ACADEMIC EXPERIENCE AND ADMINISTRATIVE
POSITIONS 

He currently serves as the Head of the Aviation Management & Logistics Department at the Swiss Institute of Management and Sciences since June 2023. Prior to this role, he held the position of Senior Lecturer in the Department of Management at Kingston University from July 2022 to the present. Before joining Kingston University, he served as an Assistant Professor at the College of Business Administration (COBA), American University in the Emirates, from July 2021 to July 2022. His academic journey also includes a role as a Lecturer at the Higher Colleges of Technology – Abu Dhabi Men’s College from January 2021 to July 2021, as well as positions at Auckland University of Technology and Monash University in 2020 and 2017-2018, respectively. His extensive experience in academia showcases a diverse range of contributions to various institutions in the field of management and aviation.

In addition to his academic roles, he has contributed significantly to the education sector by serving as an External Examiner for London Metropolitan University, University of Suffolk, and Glasgow Caledonian University. Further highlighting his commitment to education leadership, he held key positions in program leadership, including Logistics and Supply Chain Management Programme Leader at the American University in the Emirates (2021-2022), Logistics and Supply Chain Course Leader at Higher Colleges of Technology – Abu Dhabi Men’s College (May 2021-July 2021), and Master Program Leader at the Business School, Auckland University of Technology (June 2020-January 2021).

His industry experience includes a period as a Researcher at the New Zealand Crown Research Institute – Scion from June 2018 to May 2020. Prior to this, he served as a Business Partner Manager and Supply Chain Coordinator at Oxford University Press from August 2013 to February 2017. Additionally, he gained valuable experience at New Zealand Post from 2009 to 2012. His dual expertise in academia and industry positions him as a well-rounded professional with a wealth of knowledge and practical insights in the fields of management, logistics, and supply chain.

In 2013, he was honored with the prestigious Australia Postgraduate Award (APA), recognizing his academic excellence and achievements in Australia. Additionally, he was a recipient of the RMIT University scholarship during the same year, further highlighting his commitment to academic pursuits and the acknowledgment of his scholarly contributions. These accolades not only showcase his dedication to higher education but also underscore his ability to excel in his academic endeavors. The Australia Postgraduate Award and RMIT University scholarship undoubtedly played pivotal roles in fostering his academic journey and contributing to his overall success in the educational domain.

🔍📚 Research Interests 🌐✨

Supply Chain Management
• Logistics Management
• Risk Management
• Logistics and Transportation

Membership

He holds several esteemed professional memberships and certifications that underscore his commitment to excellence in the field of education and logistics. Notably, he has been recognized as a Certified Management & Business Educator (CMBE) in the UK, reflecting his proficiency in management and business education. Additionally, his Fellowship of the Higher Education Academy (FHEA) in the UK attests to his dedication to advancing teaching and learning in higher education. As a Chartered Member of the Chartered Institute of Logistics and Transport in both the UK (CILTUK), Australia (CILTA), and New Zealand (CILTNZ), he demonstrates a comprehensive understanding of logistics and transport practices across different regions. Furthermore, his membership in the European Operations Management Association (EUROMA) emphasizes his engagement with a broader international community in the field. These professional affiliations collectively showcase his expertise, commitment to continuous learning, and his active participation in professional networks within the realms of education and logistics.

Book Section📚📚

Wang, Michael and Chow, Geoffrey (2023) Business use of blockchain in New Zealand organisations an exploratory study. In: Thuan, Nguyen Hoang , Nguyen, Hung , Pham, Hiep Cong and Halibas, Alrence, (eds.) Business innovation for the post-pandemic era in Vietnam. Singapore, Republic of Singapore : Springer Singapore. pp. 61-73. ISBN 9789819915446

Conference or Workshop Item

In his recent research endeavors, Michael Wang, in collaboration with colleagues, delves into various aspects of logistics and supply chain management, particularly in the context of the post-COVID-19 era. In one study presented at the Logistics Research Network (LRN) Conference 2023 in Edinburgh, UK, he explores the relationship between job satisfaction, supply chain agility, and firm sustainability. Another research effort investigates the influence of logistics digitalization on international trade logistics performance, using evidence from the World Bank’s Logistics Performance Index (LPI). Furthermore, Wang examines interdependence relationships among supply chain uncertainties in transport operations, presenting a conceptual framework at the 30th European Operations Management Association (EurOMA) Conference 2023 in Leuven, Belgium.

Additionally, his research extends to the digitalization landscape for African smallholder farmers, exploring relevant literature, and contributes to understanding the measurement of firm digitalization in supply chains. Notably, he addresses the impacts of firm digitalization on supply chain agility, emphasizing the mediating role of innovation capability. His work also explores the antecedents to firm sustainability post-COVID-19, with a focus on supply chain agility. Furthermore, Wang investigates the business use of blockchain in New Zealand organizations, shedding light on this technology’s application.

Overall, Wang’s diverse research portfolio showcases a comprehensive exploration of contemporary issues in logistics, supply chain management, and the impact of digitalization on various facets of business and sustainability.

 

 📚Top Noted Publication

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

Published on by Network Science

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 DĂŠcor 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

Published on by Network Science

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.