Theresa Kühle | Data Analysis | Best Researcher Award

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Mrs. Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle at Universität Münster, Germany

👨‍🎓Professional Profile

🌟 Summary

Theresa Kühle is a dedicated medical student at the University of Münster, Germany, with a strong focus on pediatric cardiology, prenatal medicine, and psychosomatic disorders. Passionate about research and clinical practice, she has presented at several medical congresses and published research in the field of fetal heart failure. As a Cusanuswerk scholarship recipient, she is committed to advancing in her medical career with international experience.

🎓 Education

Since 2019, Theresa has been studying medicine at the University of Münster, Germany. She also gained international medical experience at the Universidad de Valladolid, Spain, in 2023. Theresa completed her Abitur at Gymnasium Schloss Neuhaus, Paderborn, in 2018, with an outstanding grade of 1.0.

💼 Professional Experience

Theresa has gained extensive practical experience in hospitals and medical settings. Since 2024, she has been working as an OP student in the Department of Gynaecology and Obstetrics at St. Franziskus-Hospital in Münster. She also gained clinical experience in pediatrics, cardiology, neurology, urology, and psychosomatic medicine at the University Hospital Münster. In addition, she has been a tutor for a sonography course at her university since 2024.

📑 Academic Citations

In 2024, Theresa presented posters at the 65th DGGG Congress in Berlin and the 47th Tri-Nation Meeting in Salzburg. She has also published a research paper on “Dyssynchronous fetal heart failure in maternal diabetes” with Prof. Dr. Ralf Schmitz, highlighting her active involvement in medical research.

🛠️ Technical Skills

Theresa possesses advanced skills in sonography, as evidenced by her role as a tutor in the ultrasound course at the University of Münster. She has a deep understanding of prenatal diagnostics, particularly in echocardiography and M-mode software. In addition, she is fluent in English (C1/C2), Spanish (B2.2), and French (B2), with proficiency in Latin.

👩‍🏫 Teaching Experience

Theresa has enriched her teaching portfolio by serving as a tutor for the sonography course at the University of Münster since 2024. She has also gained hands-on teaching experience in psychosomatic treatments, pediatrics, and psychotherapeutic practices during her medical training.

🔬 Research Interests

Her research focuses on pediatric cardiology, particularly congenital heart defects, and prenatal medicine, with a specific interest in fetal heart failure caused by maternal diabetes. Additionally, Theresa is passionate about psychosomatic medicine and psychological health treatments for children and adolescents.

📖Top Noted Publication

Dyssynchronous Fetal Heart Failure in Maternal Diabetes: Evaluation with Speckle Tracking Echocardiography and Novel M-Mode Software

Authors: Theresa M. Kühle, Angela Burgmair, Georg Schummers, Mareike Möllers, Kathrin Oelmeier, Chiara De Santis, Helen Ann Köster, Ute Möllmann, Daniela Willy, Janina Braun, et al.

Journal: Ultrasound in Medicine & Biology

Year: 2024

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Yun Xing | Computer Vision | Best Researcher Award

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Mr. Yun Xing | Computer Vision | Best Researcher Award

Mr. Yun Xing at The First Affiliated Hospital of Xi’an Jiaotong University, China

👨‍🎓Professional Profile

🎓 Education and Academic Background

I am currently a second-year Ph.D. student at VI-Lab, Nanyang Technological University (NTU), under the supervision of Prof. Shijian Lu. I received my B.S. degree in Biomedical Engineering and Instrument Science from Zhejiang University in 2021, where I worked under the guidance of Prof. Hong Zhou. Prior to my Ph.D., I completed my Master’s in Artificial Intelligence at NTU (2021–2022). My research interests primarily focus on vision-language pre-training and foundation model adaptation.

🔬 Research Interests

My research revolves around cutting-edge topics in vision-language pre-training and the adaptation of foundation models. I am particularly interested in methods that enable models to transfer knowledge effectively across different domains, such as few-shot learning, cross-domain adaptation, and improving model robustness in complex vision-language tasks.

🏆 Achievements and News

In recent years, I have been fortunate to have several papers accepted at top-tier conferences. These include NeurIPS 2024, ECCV 2024, CVPR 2024, and NeurIPS 2023, marking significant milestones in my academic journey. Notably, my work on object hallucination mitigation and segmentation adaptation has received considerable attention in the community.

🏅 Awards and Honors

Throughout my academic journey, I have received various recognitions for my contributions to research. These include the Outstanding Graduate Award from Zhejiang University in 2021, as well as the Academic Excellence Award (2018, 2019) and Academic Progress Award (2019) from the same institution.

💻 Service and Teaching

As an active member of the academic community, I contribute as a conference reviewer for prominent venues such as CVPR, ICML, ECCV, and NeurIPS 2024, where I was honored to be selected as one of the Top Reviewers at NeurIPS. Additionally, I am involved in teaching and mentoring at NTU. In Spring 2024, I will be assisting with the SC1015: Introduction to Data Science and Artificial Intelligence course.

Jianhong Hao | Predictive Analytics | Best Researcher Award

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Dr. Jianhong Hao | Predictive Analytics | Best Researcher Award

Doctorate at Honghui Hosipital, Xi’an Jiaotong University, China

👨‍🎓Professional Profiles

👨‍⚕️ Summary

Dr. Jianhong Hao is a Master of Anesthesia and a prominent researcher in perioperative care at Honghui Hospital, Xi’an Jiaotong University, China. His expertise lies in analyzing risk factors for perioperative complications and applying ultrasound technology for airway management. With over 9 SCI papers published in the last five years, his research focuses on improving patient outcomes, particularly in trauma and post-surgical settings.

🎓 Education

Dr. Hao completed his Master of Anesthesia at Xi’an Jiaotong University, where he developed a strong foundation in clinical anesthesia and perioperative medicine.

🏥 Professional Experience

Currently, Dr. Hao serves as a clinical specialist and researcher at Honghui Hospital. He specializes in risk factor analysis for perioperative complications and has made significant contributions to optimizing care for trauma and surgical patients.

📚 Academic Citations

Dr. Hao’s research is widely recognized in the scientific community. His publications in journals like Journal of Clinical Anesthesia and BMC Anesthesiology cover diverse topics such as postoperative pulmonary complications (PPCs) and the use of ultrasound in predicting respiratory issues in trauma patients.

💻 Technical Skills

Dr. Hao is skilled in utilizing ultrasound technology for airway management and perioperative care. He also specializes in statistical modeling, data analysis, and risk factor identification for various surgical complications, with an emphasis on predictive tools and clinical trials.

👩‍🏫 Teaching Experience

In addition to his clinical and research work, Dr. Hao is an educator at Xi’an Jiaotong University, where he mentors medical students and residents in anesthesia and perioperative management.

🔬 Research Interests

Dr. Hao’s research interests center around the identification of risk factors for perioperative complications, especially those involving trauma patients. His ongoing projects include developing risk stratification models based on lung ultrasound scores for traumatic lung injuries and optimizing care for patients with postoperative pulmonary complications.

🏅 Key Contributions

Dr. Hao has made pioneering contributions in the use of postoperative lung ultrasound scores to predict pulmonary complications in patients with blunt thoracic trauma. His work also includes developing models for early identification of risks in trauma patients and optimizing blood use in surgery

🤝 Collaborations

Dr. Hao collaborates with multidisciplinary teams at Honghui Hospital and is an active member of the Shaanxi Clinical Trial Research Society, contributing to ongoing clinical studies and evidence-based practices in anesthesia.

Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

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Assist Prof Dr. Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

Assist Prof Dr. Fateme Dehghani-Arani at University of Tehran, Iran

👨‍🎓 Professional Profile

🎓 Early Academic Pursuits

Dr. Fateme Dehghani-Arani completed her Ph.D. in Health Psychology at the University of Tehran (2013), focusing her thesis on developing an attachment-based intervention model for inpatient children and their mothers, achieving an impressive GPA of 19.84 out of 20. Her earlier academic achievements include a MSc. in Psychology (2008) with a thesis on the effectiveness of neurofeedback therapy for opiate-dependent patients (GPA: 19.60) and a B.A. in Clinical Psychology (2005).

🧑‍🏫 Professional Endeavors

Since 2016, Dr. Dehghani-Arani has served as an Assistant Professor in the Department of Psychology at the University of Tehran. Her teaching roles have extended to the Department of Radiotherapy and the University of Kashan. She has also been a researcher in the neuropsychological science laboratory at the International Center of Addiction Studies.

🌟 Contributions and Research Focus

Dr. Dehghani-Arani has held significant administrative roles, including the Head of the Counseling and Mental Health Center at her faculty and the Vice President for Student Services & Culture. Her research interests lie primarily in psychotherapy, particularly psychoanalytic and attachment-based approaches, and explore the interplay between personality, emotion, trauma, and health.

📊 Impact and Influence

Her research has contributed to understanding the psychological treatment of various conditions and has been recognized in national academic circles. She received a second-degree award for her M.A. thesis at the presidential drug control headquarters, highlighting her impactful work in the field.

📝 Academic Cites

Dr. Dehghani-Arani is an active member of the Psychology and Counseling Organization of Iran and the American Psychological Association (APA). She continues to engage with the academic community through workshops and training programs.

🔧 Technical Skills

Her training encompasses various methodologies, including psychophysics, statistical analysis using STATA, and comprehensive clinical trial design. She has experience with MATLAB software, enhancing her research capabilities.

👩‍🏫 Teaching Experience

Dr. Dehghani-Arani teaches a variety of courses, including:

  • Grief and Palliative Treatment in Health Psychology
  • Internship in Psychotherapy (Supervisor)
  • Abnormal Psychology
  • Theories in Personality
  • Mental Health
  • Fundamental Subjects in Psychology

🌈 Legacy and Future Contributions

As a prominent figure in the field of health psychology, Dr. Dehghani-Arani aims to further develop innovative therapeutic models and contribute to the understanding of psychological health in children and families. Her commitment to research and education positions her as a key player in advancing mental health practices in Iran and beyond.

 

📖 Top Noted Publications

Metaanalysis of Repetitive Transcranial Magnetic Stimulation (rTMS) Efficacy for OCD Treatment: The Impact of Stimulation Parameters, Symptom Subtype and rTMS-Induced …

Authors: F Dehghani-Arani, R Kazemi, AH Hallajian, S Sima, S Boutimaz, …
Journal: Journal of Clinical Medicine
Citation: 13 (18), 5358
Year: 2024

 The Relationship between Willingness to Help Others and Resilience with Post-Traumatic Growth in People with A History of Severe Covid-19 in Close Relatives: The Moderating …

Authors: F Dehghani-Arani, Z Asadi, H Farahani
Journal: Journal of Research in Psychological Health
Citation: 22 (4), 1-19
Year: 2024

The Mediating Role of Executive Functions in the Relationship Between E-Learning Readiness and Academic Performance During the COVID-19 Pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Citation: 14 (3), 105-119
Year: 2023

 Systematic Review and Meta-analysis of Functional and Structural Neural Pathways in Attachment

Authors: Hasanzade Maharlouee F, Dehghani-Arani F, Vahhabi A, Sima S
Journal: Journal of Cognitive Psychology
Citation: 11 (2)
Year: 2023

The relationship between executive functions and academic achievement in high-school students during the coronavirus pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Year: 2023

Esaïe Tchetan | Statistical Modeling | Best Researcher Award

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Dr. Esaïe Tchetan | Agricultural Data Analysis | Best Researcher Award

Dr. Esaïe Tchetan at University of Abomey-Calavi, Benin

👨‍🎓 Professional Profiles

🌱 Current Position

Dr. Esaïe Tchetan is a lecturer at Université Nationale d’Agriculture (UNA) and Université Nationale des Sciences, Technologies, Ingénierie et Mathématiques (UNSTIM) in Benin.

📚 Summary

A dedicated zootechnician, Dr. Tchetan holds a Ph.D. in Agricultural Sciences and specializes in ethnoveterinary medicine, focusing on the therapeutic potential of medicinal plants for livestock health management. He has been teaching and supervising students in agricultural institutions since 2017.

🎓 Education

  • PhD in Agricultural Sciences (Oct 2019 – Jul 2023)
    University of Abomey-Calavi (Benin) and Catholic University of Louvain (Belgium)
  • Master in Animal Production and Biotechnology (Oct 2014 – Mar 2017)
    University of Abomey-Calavi (Benin)
  • Bachelor’s in Animal Production and Health (Oct 2010 – Jan 2014)
    University of Parakou (Benin)

🧑‍🔬 Professional Experience

Dr. Tchetan’s research focuses on the anthelmintic potential of plants used in traditional veterinary medicine, encompassing ethnoveterinary surveys and various laboratory assays. He has also contributed to internships and research projects involving extraction and biological testing of plant materials.

📈 Academic Cites

He has presented at numerous international conferences, making significant contributions to the field of ethnoveterinary medicine and emphasizing the role of traditional plants in livestock health.

🛠️ Technical Skills

Dr. Tchetan is proficient in mass spectrometry, chromatographic techniques, and data analysis using R. He excels in plant extraction, fractionation, and biological activity testing, with extensive experience in teaching and student supervision.

👨‍🏫 Teaching Experience

He has lectured on traditional veterinary pharmacopoeia, animal ecophysiology, and special zootechnics in agricultural high schools and universities across Benin.

🌿 Research Interests

His research interests include ethnoveterinary medicine, pharmacognosy, analytical chemistry, and traditional farming systems, particularly the ecological and therapeutic roles of medicinal plants in livestock health management.

 

📖 Top Noted Publications

Antitrypanosomal activity of Crossopteryx febrifuga and phytochemical profiling using LC-MS/MS analysis coupled to molecular network and SIRIUS

Authors: Tchetan E., Ortiz S., Olounlade P.A., Azando E.V.B., Avril C., Dominique D., Hounzangbe-Adote S.M., Gbaguidi F.A., Quetin-Leclercq J.
Journal: Fitoterapia
Year: 2024

Stands diversity and population structure of five ethnoveterinary woody species according to climatic zone and human disturbance in Benin (West Africa)

Authors: Tchetan E., Houehanou T.D., Olounlade P.A., Azando E.V.B., Quinet M., Houinato M.R.B., Hounzangbe-Adote S.M., Quetin-Leclercq J., Gbaguidi F.A.
Journal: Discov Conserv
Year: 2024

HPLC-LTQ Orbitrap Mass Spectrometry-based Molecular Networking for identifying anthelmintic molecules in Morinda lucida Benth

Authors: Tchetan E., Ortiz S., Hughes K., Olounlade P.A., Laurent P., Azando E.V.B., Herent M.F., Hounzangbe-Adote S.M., Houinato M.R.B., Gbaguidi F.A., Quetin-Leclercq J.
Journal: S. Afr. J. Bot.
Year: 2023

In vivo anticoccidial activity and immune response of Moringa oleifera and Vernonia amygdalina leaves against Eimeria magna and Eimeria media in rabbits

Authors: Konmy B., Olounlade P.A., Adjobimey T., Dansou C.C., Adoho A.C.C., Tchetan E., Alowanou G.G., Azando E.V.B., Adjanohoun A., Doko Allou S.-Y., Baba-Moussa L.
Journal: Front. Cell. Infect. Microbiol.
Year: 2023

Fractionation coupled to molecular networking: Towards identification of anthelmintic molecules in Terminalia leiocarpa (DC.) Baill.

Authors: Tchetan E., Ortiz S., Olounladé P.A., Hughes K., Laurent P., Azando E.V.B., Hounzangbe-Adote S.M., Gbaguidi F.A., Quetin-Leclercq J.
Journal: Molecules
Year: 2022

Chengjie Sun – Natural Lanauage processing – Best Researcher Award 

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Assoc Prof Dr Chengjie Sun - Natural Lanauage processing - Best Researcher Award 

Harbin Institute of Technology - China

Author Profile:

Early Academic Pursuits

Assoc Prof Dr Chengjie Sun began his academic journey at Yantai University, where he pursued a Bachelor's degree in Computer Science and Technology from 1998 to 2002. Subsequently, he continued his education at Harbin Institute of Technology, achieving a Master's degree in Computer Science and Technology from 2002 to 2004. Later, he furthered his academic pursuits at the same institute, obtaining his Doctorate in Computer Application Technology from 2004 to 2008.

Professional Endeavors

After completing his doctoral studies, Assoc Prof Dr Chengjie Sun embarked on an illustrious professional journey. He joined the Harbin Institute of Technology's School of Computer Science and Technology as a Lecturer from January 2009 to December 2014. In 2013, he expanded his academic horizons by serving as a Visiting Scholar at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). Since January 2015, he has held the position of Associate Professor at the Harbin Institute of Technology.

Additionally, Assoc Prof Dr Chengjie Sun enriched his professional experience by collaborating with renowned institutions and organizations. He served as a Visiting Scholar at Microsoft Research Asia's Natural Language Computing Group from September 2011 to July 2012.

Contributions and Research Focus

Assoc Prof Dr Chengjie Sun's research interests primarily revolve around natural language processing technologies and their applications, recommender systems, and machine learning. His scholarly contributions encompass a wide range of topics, including offensive message identification, explainable dialogue systems, fake news detection, response generation, user modeling, and named entity recognition, among others. Through his extensive peer-reviewed publications in reputable journals and conferences, Chengjie Sun has significantly advanced the field of computer science and technology.

Accolades and Recognition

Assoc Prof Dr Chengjie Sun's exemplary contributions to academia have earned him prestigious accolades and recognition. In 2011, he received the First Prize of the Heilongjiang Science and Technology Award for his work on Sentence Level Pinyin Input Method in a Network Environment. His research endeavors and innovative approaches have consistently garnered acknowledgment from peers and experts in the field.

Impact and Influence

Assoc Prof Dr Chengjie Sun's research and teaching endeavors have had a profound impact on the academic community and industry alike. His publications in leading journals and conferences have contributed to the advancement of natural language processing, machine learning, and recommender systems. Furthermore, his collaborative efforts with esteemed institutions and professional memberships have facilitated knowledge exchange and interdisciplinary collaborations, fostering innovation and growth in the field.

Legacy and Future Contributions

As an Associate Professor at the Harbin Institute of Technology, Chengjie Sun continues to inspire and mentor future generations of computer scientists and researchers. His dedication to advancing knowledge and fostering excellence in research and teaching serves as a testament to his commitment to the academic community. Moving forward, Chengjie Sun's ongoing research endeavors and contributions are poised to shape the future of natural language processing technologies, recommender systems, and machine learning, leaving a lasting legacy in the field.

Citations

Notable Publication 

 

 

Salahuddin Mahmud – Data Interpretation – Global Data Innovation Recognition Award 

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Assoc Prof Dr Salahuddin Mahmud - Data Interpretation - Global Data Innovation Recognition Award 

Salahuddin Mahmud - Bangladesh Shishu Hospital & Institute - Bangladesh 

Author Profile

Early Academic Pursuits

Assoc Prof DR. Salahuddin Mahmud began his academic journey with a solid foundation in science, completing his SSC in 1990 and HSC in 1992 from the Education Board, Dhaka, with a focus on the science stream. Following this, he pursued his MBBS from Dhaka University, specializing in Medicine, Surgery, and Gynecology, which he completed in 2000. His commitment to pediatric care led him to achieve an MD in Pediatrics from BSMMU in 2010.

Professional Endeavors

Over the years,  Assoc Prof Dr. Mahmud has held various significant roles at the Bangladesh Shishu Hospital & Institute (BSHI). He started as a Resident Medical Officer in Pediatric Medicine in 2004 and transitioned to the Department of Pediatric Gastroenterology, Hepatology & Nutrition by 2011. Progressing through the ranks, he has served as Assistant Professor and currently holds the position of Associate Professor in the same department.

Additionally, Assoc Prof Dr. Mahmud plays crucial supervisory and academic roles, supervising MD (Pediatrics) residency courses and co-guiding MD thesis projects, enhancing the quality of pediatric care and education in Bangladesh.

Contributions and Research Focus

Assoc Prof Dr. Mahmud's contributions to pediatric gastroenterology, hepatology, and nutrition are commendable. His participation in workshops and conferences like the 9th ISPGHAN Conference in India and the Motility Workshop in New Delhi underscores his commitment to advancing the field. His research and expertise cover areas such as pediatric GI & liver issues, metabolic liver diseases, and enteral & parenteral nutrition, focusing on improving diagnostic and treatment modalities.

Accolades and Recognition

His active involvement and expertise have garnered recognition, both nationally and internationally. He is a life member of the Bangladesh Pediatric Association and holds foreign memberships in prestigious organizations like ISPGHAN, NASPGHAN, and APPSPGHAN, highlighting his standing in the global pediatric community.

Impact and Influence

Assoc Prof Dr. Mahmud's impact extends beyond his clinical and academic roles. As an executive member of BASPGAN, he influences policy and practice in pediatric gastroenterology, hepatology, and nutrition in Bangladesh. His research and teachings shape future pediatricians, ensuring that the next generation is equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

With a rich legacy of academic achievements, professional endeavors, and contributions to pediatric care and research, Assoc Prof Dr. Salahuddin Mahmud continues to inspire and lead. His future contributions are anticipated to further advance pediatric gastroenterology and hepatology in Bangladesh and beyond. As an associate professor and respected figure in his field, he remains committed to mentoring future professionals, conducting groundbreaking research, and elevating standards of care for pediatric patients.

Notable Publications