Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Yingya Guo- Computer Network – Best Researcher Award

Yingya Guo- Computer Network – Best Researcher Award

Assoc Prof Dr. Yingya Guo distinguished academic and researcher in the field Computer Network.

🌐 Professional Profile

Educations📚📚📚

She earned her PhD in Computer Science and Technology from Tsinghua University, where she studied under the guidance of Professor Jianping Wu from September 2013 to July 2019. During her doctoral studies, she spent a year as a visiting scholar at the Tandon School of Engineering at New York University, working with Professor H. Jonathan Chao from October 2017 to September 2018. Prior to her PhD, she completed her Bachelor’s degree in Computer Science and Technology at Xiamen University, graduating fourth in a class of 121 in July 2013.

📝🔬Publications📝🔬
1. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in hybrid SDN networks with multiple traffic
matrices[J]. Computer Networks, 2017.
2. Guo Y, Wang Z*, Yin X, et al. SOTE: Traffic Engineering in Hybrid Software Defined
Networks [J]. Computer Networks, 2019.
3. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Tasks Placement and Routing to Minimize
Coflow Completion Time[J], Journal of Network and Computer Applications, 2019.
4. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in SDN/OSPF hybrid network[C]. IEEE
International Conference on Network Protocols (ICNP), 2014.(Google scholar citation: 60)
5. Guo Y, Wang Z*, Yin X, et al. Optimize Routing in Hybrid SDN Network with Changing
Traffic[C]. IEEE International Conference on Computer Communication and Networks
(ICCCN), 2017.
6. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Task Placement and Routing in Minimizing
Inter-DC Coflow Completion Time[C]. IEEE International Conference on Computer
Communication and Networks (ICCCN), 2017.
7. Guo Y, Wang Z*, Yin X, et al. Incremental deployment for traffic engineering in hybrid SDN
network[C]. IEEE International Conference on Performance Computing and
Communications (IPCCC), 2015.
8. Guo Y, Wang Z, Yin X, et al. Achieving Balance Between Link Utilization and Traffic Latency
in Inter-DC WAN Using Deep Reinforcement Learning [J]. IEEE transactions on networking,
2019.(submitted)
9. Guo Y, et al. Optimizing routing with paths cardinality constraints in hybrid SDN [J],
Computer Networks, 2019. (submitted)

Giorgia Modenini – Biological Networks – Young Scientist Award

Giorgia Modenini – Biological Networks – Young Scientist Award

Dr. Giorgia Modenini distinguished academic and researcher in the field Biological Networks.

🌐 Professional Profile

Educations📚📚📚

She has been deeply engaged in academic pursuits since 2014,  commencing with her Bachelor of Science degree in Natural Sciences from the University of Bologna, Italy, where she attained a commendable grade of 106/110. This laid the foundation for her subsequent academic journey. Building upon her undergraduate studies, she pursued a Master of Science in Biodiversity and Evolution at the same institution, achieving the highest distinction of 110/110 cum laude, indicative of her exceptional aptitude and dedication. Undeterred by challenges, she continued to excel in her academic endeavors and embarked on a PhD course in Environment, Earth, and Life Sciences at the University of Bologna. Spanning from 2020 to the present, this doctoral program underscores her commitment to advancing knowledge and contributing to the fields of biological, geological, and environmental sciences. Throughout her academic trajectory, she has demonstrated a fervent passion for her chosen disciplines and a relentless pursuit of excellence.

Awards

She has actively contributed to the academic community through various engagements and leadership roles in conferences focused on the role of transposable elements in human evolution and diseases. Notably, she organized and co-chaired the “Transposable Elements in Human Brain Evolution and Diseases” virtual conferences in December 2021 and December 2022, featuring esteemed speakers such as Marie Jönnson, Jose Luis Garcia-Perez, Fabio Macciardi, Cedric Feschotte, Johan Jakobsson, and Molly Gale Hammell. Her dedication to advancing knowledge in this field is further exemplified by her role as the organizer and co-chair of the “Transposable Elements in Human Evolution and Diseases” virtual conference in February 2024, featuring confirmed invited speakers Anna Sophie Fiston-Lavier and Marco Trizzino. Moreover, her outstanding contributions were recognized with the “Best Poster Award” at the XXV Congress of the Italian Anthropological Association, presented by the Italian Primatologists Association, for her poster titled “Exploring signatures of adaptive introgression on chromosome 22 in worldwide human populations,” a fitting tribute to the memory of Judith Masters and Fabien Génin. Through these endeavors, she continues to foster collaboration and facilitate discussions at the forefront of scientific research.

Academic experience

She has been actively involved in various academic activities spanning several years, showcasing her commitment to advancing knowledge in her field. From April to September 2019, she undertook an internship at the Molecular Anthropology Lab at the University of Bologna, Italy. Here, she delved into the intricate relationships between non-LTR retrotransposons and schizophrenia in both modern and ancient human populations. This experience provided her with invaluable insights into the intersection of genetics and mental health. Subsequently, in February to May 2023, she embarked on an international internship at the Globe Institute, Lundbeck Foundation, Copenhagen, Denmark. During this period abroad, she immersed herself in the project titled “Investigating human evolution through the lens of retrotransposons,” further expanding her understanding of evolutionary genetics. Currently, since November 2020, she has been engaged as a PhD student at the Molecular Anthropology Lab, University of Bologna, Italy. Her doctoral research focuses on studying retrotransposition events and DNA methylation in the evolution of the human brain, a testament to her continued dedication to unraveling the complexities of human evolution and genetics.

Seminars and thesis

She has been actively involved in supervising and supporting research projects and academic activities related to transposable elements and genetic variability. Under her guidance as a supervisor, Giacomo Mercuri presented his thesis titled “Polymorphic transposable element insertions provide new insights into North-Eastern Italian isolates’ genetic variability” for the LM Biodiversità ed Evoluzione program. Similarly, Stefano Puleo explored the signatures of adaptive introgression on chromosome 22 in worldwide human populations for his thesis under her supervision. Additionally, she has contributed to the academic community by delivering lessons on “Transposable Elements as drivers of genome evolution” and “Transposable Elements as drivers of evolution” for the course “Genetica di popolazione ed evoluzione molecolare,” showcasing her expertise in the field. Furthermore, she supervised Francesco Magni’s thesis, which focused on transposable elements variability in ancient and modern human samples, further enriching the understanding of genetic dynamics. Through these mentorship roles and academic contributions, she continues to advance knowledge and foster intellectual growth in the field of biodiversity and evolution.

📝🔬Publications📝

 

 

 

Thomas Liehr – Biological Networks Award – Best Researcher Award

Thomas Liehr – Biological Networks Award – Best Researcher Award

Assoc Prof Dr. Thomas Liehr distinguished academic and researcher in the field Biological Networks. The Lab of Molecular Cytogenetics at the Institut für Humangenetik in Jena pursues various research lines, all linked by a common interest in chromosome structure and evolution. His primary focus lies within the realm of clinical genetic research, specifically in characterizing acquired and inherited chromosomal aberrations to comprehend the underlying biological mechanisms behind such deviations from the norm. Ongoing projects delve into topics such as small supernumerary marker chromosomes, chromosomal heteromorphisms, uniparental disomy, chromosomal breakpoints, and multicolor-FISH techniques. In the field of leukemia research, he contributes to identifying cryptic chromosomal aberrations associated with the disease. Additionally, the lab investigates chromosomal evolution through collaborations with other research groups studying diverse species such as fish (in Brazil), turtles (in Italy), and rodents (in Russia). In addition to employing multicolor fluorescence in situ hybridization techniques, he utilizes methods like immunohistochemistry, microsatellite analysis, array-CGH, and next-generation sequencing to further his research objectives

🌐 Professional Profiles

Educations📚📚📚

He holds various academic positions across different institutions and countries, showcasing his expertise and contributions to the field of medicine and biology. Since November 7, 2016, he has served as a Visiting Professor of Medicine at the University of Belgrade School of Medicine in Belgrade, RS. Furthermore, he has been awarded an honorary Doctorate in Biology (Dr. h.c.) from Yerevan State University in Armenia, a recognition he has held since June 25, 2014. Concurrently, he holds the position of Invited Professor of Biology at Yerevan State University since May 1, 2013, further emphasizing his international engagement in academia. In addition to his roles in teaching and research, he obtained European registered Clinical Laboratory Geneticists (ErCLG) certification in Human Genetics from Friedrich-Schiller-Universität Jena in Thüringen, Germany, a qualification he held from January 1, 2009, until April 1, 2015. Through these positions and qualifications, he contributes significantly to the advancement of knowledge and education in the fields of medicine and biology.

Work experiences

He has had a distinguished career trajectory marked by significant contributions to the field of human genetics. Beginning as a scientific coworker at the Institute of Human Genetics Erlangen under the guidance of Prof. Dr. E. Gebhart from 1991 to 1998, he embarked on a path of research and academic engagement. During his tenure, he was honored as a Fellow of the Herbert Quandt Stiftung der VARTA-AG from 1995 to 1997, further solidifying his commitment to advancing genetic knowledge. Since 1998, he has continued his research as a scientific coworker at the Institute of Human Genetics Jena, focusing on Molecular Cytogenetics. Notably, he has held the role of Coordinator of the Permanent Working Group Marker Chromosomes of the European Cytogenetic Association (ECA) since 2007, demonstrating his leadership in the field. Additionally, he served as Co-Editor of the journal Molecular Cytogenetics from 2007 to 2022, contributing to scholarly discourse and dissemination of research findings. Since September 2010, he has led the national quality control efforts for molecular cytogenetics as the head of the national quality control for molecular cytogenetics under the BVDH. His international engagements include serving as a member of the DAAD-review board in Brazil from 2010 to 2017 and chairing the scientist division of the European Board of Medical Genetics (ESHG) since 2012. Moreover, he has been an Invited Professor at Yerevan State University, Armenia, since May 2013, and was honored with a Doctorate h.c. and golden medal from the same institution in September 2014, recognizing his outstanding contributions to the field. He achieved European registered Clinical Laboratory Geneticist (ErCLG) certification in July 2015, further affirming his expertise and qualifications in the field of genetics. Additionally, he has served on the Advisory Board of the Armenian Association of Molecular and Cellular Biology and Immunology since 2012, further demonstrating his commitment to international collaboration and advancement in genetics research and education.

📝🔬Publications📝🔬

 

Ali Vaezi- Network Science Awards- Best Researcher Award

Ali Vaezi- Network Science Award – Best Researcher Award

Mr. Ali Vaezi distinguished academic and researcher in the field  Network Science. He is an experienced data analyst at Parva Co. in Tehran, Iran, where he has been driving operational excellence and optimizing supply chains for automotive parts suppliers since October 2019. His responsibilities include utilizing data analysis, implementing process improvements, and fostering cross-functional collaboration. Notably, he has developed data models and dashboards to deliver valuable insights to leadership, leading to a 10% reduction in inventory management costs.

In addition to his professional role, he has served as a teaching assistant at Science & Research University from 2020 to 2023, supporting courses such as Computer Programming, Operational Research 2, Quality and Productivity Management, Decision-Making Analysis, and Systems Analysis. In this capacity, he provided individual tutoring to over 250 students and assisted professors with exam preparation, grading, and facilitating review sessions.

Furthermore, he is an active volunteer member of the Iran Project Management Association since April 2023. In this role, he contributes to the advancement of project management practices through professional development, training, research, and knowledge sharing. He actively participates in association programs aimed at promoting certification, events, and seminars within the field.

🌐 Professional Profiles

Educations📚📚📚

He pursued his Bachelor of Science in Industrial Engineering at Islamic Azad University, Science & Research Branch in Tehran, Iran, from September 2019 to July 2023. During his undergraduate studies, he demonstrated strong academic performance, maintaining a GPA ranging from 3.69/4 to 3.75/4 in his last two years. His coursework included a variety of essential subjects such as Operational Research (1,2), Computer Programming, Probability Theory and its Application, Engineering Statistics, Production Planning, and Principles of Simulation.

Prior to his university education, he completed his Pre-University Diploma in Mathematics and Physics at Allameh Tabatabaei High School in Tehran, Iran, from September 2018 to May 2019. He achieved an outstanding GPA of 18.91/20 during this period, laying a solid foundation for his academic journey in industrial engineering.

Research interests

His research interests encompass a diverse range of topics within the realm of data analytics, machine learning, statistical modeling, operations research, and data science integration. He is particularly drawn to scalable technologies and real-time processing in data analytics, seeking innovative solutions to handle large volumes of data efficiently. Within machine learning, his focus lies in classification, regression, clustering, and deep learning techniques, aiming to uncover patterns and insights from complex datasets.

In statistical modeling for optimization, he is intrigued by predictive modeling, time series analysis, and Bayesian methods, utilizing statistical techniques to enhance decision-making processes. Additionally, he explores the integration of operations research and data science, leveraging mixed-integer linear programming (MILP), metaheuristics, and addressing optimization challenges in real-world applications.

Moreover, he is passionate about interactive data visualization, emphasizing the creation of engaging visuals for effective data communication and decision support. Through his research pursuits, he endeavors to contribute to advancements in these interdisciplinary fields, bridging theory with practical applications to address contemporary challenges.

Honors and Awards:

Received top marks (grade point average above 17) for six semesters during bachelor’s degree at Azad
University
– Recognized as an exceptional student (Elite Student status) based on high academic performance
ranked in the top 5% of the program
– Secured first place in the idea competition held at Science & Research University, competing against
20 teams.

📝🔬Publications📝🔬

Shareef Mahdi- Network Science Award – Best Researcher Award

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

Hao Liang – Resource Allocation in Wireless Communications Award – Best Researcher Award

Hao Liang – Resource Allocation in Wireless Communications Award – Best Researcher Award

Mr. Hao Liang distinguished academic and researcher in the field Resource Allocation in wireless Communications. He currently serves as a Communications, Navigation, and Surveillance (CNS) Engineer within the Technical Support Department of the Guangxi Sub-bureau of the Middle South China Regional Air Traffic Management Bureau of Civil Aviation Administration of China. Additionally, he holds the title of Incorporated Engineer (IEng) and fulfills the role of Senior Information System Project Manager.

🌐 Professional Profiles

Educations📚📚📚

He received his B.E. degree in electronic information engineering from Guilin University of Electronic Technology, Guangxi, China, in 2017, and his M.E. degree in electronics and communications engineering from Xidian University, Xi’an, China, in 2020.

Research Interests

His research interests encompass 5G AeroMACS, Full-duplex Communications, Non-orthogonal Multiple Access, Interference Management, and Resource Allocation in Wireless Communications.

📝🔬Publications📝🔬

Changwei Wu – Network Properties- Best Researcher Award

Changwei  Wu – Network Properties

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

 

🌐 Professional Profiles

Educations📚📚📚

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

 

Academic Positions:

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

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

Honors & Awards

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

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

Hana Catur Wahyuni – Technological Networks – Top Researcher Award

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

🌐 Professional Profiles

Educations📚📚📚

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

Research

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

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

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

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

Experience

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

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

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

Publications📚📚

Rayhane Sadeghi – Network Visualization- Women Researcher Award

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.