Mazen Juratli- Medicine- Outstanding Scientist Award

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Mazen Juratli- Medicine- Outstanding Scientist Award

Prof. Mazen Juratli distinguished academic and researcher in the field Medicine. He is a dedicated and accomplished Assistant Professor and Senior Consultant Surgeon with a strong background in General, Visceral, and Transplant Surgery, specializing in upper GI tumors, reflux surgery, and peritoneal carcinomatosis. His experience encompasses both the clinical and research facets of surgical oncology, demonstrating a steadfast dedication to advancing medical science and enhancing patient care. He is actively pursuing opportunities to make substantial contributions to the field of surgery and academic medicine, particularly in the realm of Upper GI and peritoneal carcinomatosis surgery, along with related areas.

🌐 Professional Profile

Educations📚📚📚

He earned his Ph.D. in Interdisciplinary Biomedical Science (IBS) from the Arkansas Nanomedicine Center at the University of Arkansas for Medical Sciences (UAMS) in Little Rock, AR, USA, completing his studies between January 2012 and May 2014. Prior to that, he attended medical school at Philipps University in Marburg, Germany, from October 2003 to November 2009.

 Experience:

He is currently an Assistant Professor and Senior Consultant Surgeon at the University Hospital of Muenster in Muenster, Germany, within the Department of Generalhttps://networkscience-conferences.researchw.com/?p=33910&preview=true, Visceral, and Transplant Surgery. He specializes as an Upper Gastrointestinal (GI) Surgeon, adept in robotic, minimally invasive, and open surgeries. Additionally, he heads the Stomach Cancer and Peritoneal Carcinomatosis Surgical Center, serves as Deputy Head of the Esophagus Cancer Center, and leads the Surgical Biobank. He is also the Principal Investigator (PI) for the Liquid Biopsy Research Group. His licensure and certifications include being a Senior Explant Surgeon for Donor Surgery: Liver and Kidney (since October 2023) and a Certified Center Surgeon for the Upper GI Tract (since January 2023). He is a member of the Board of Directors of the Interdisciplinary Working Group for Clinical Hemotherapy (IAKH e.V.) and holds an additional qualification in Specialized Visceral Surgery (Zusatzbezeichnung Spezielle Viszeralchirurgie) from the Ärztekammer Westfalen-Lippe, Germany, since September 2022. He became a Fellow of the European Board of Surgery (F.E.B.S.) in Surgical Oncology in September 2022 and has been an Assistant Professor (Privatdozent Dr. med. habil.) since January 2021. He has served as a Senior Consultant Surgeon (Oberarzt) in the Department of General, Visceral, and Transplant Surgery at the University Hospital of Muenster since September 2020. He obtained his German Board Certification in Visceral Surgery – Consultant Surgeon (Facharzt) from the Ärztekammer Hessen, Germany, in June 2019. He earned his Ph.D. from the University of Arkansas for Medical Sciences (UAMS) in Little Rock, AR, USA, in December 2014 and his Doctor of Medicine (Dr. med.) from Philipps University in Marburg, Germany, in December 2009, where he also obtained his German Federal License (Approbation) in November 2009.

Awards, Grants and Honors

He has received numerous awards, grants, and honors throughout his career. In 2024, he secured industrial grant funding from Johnson & Johnson for a project on surgical smoke exposure investigation in surgical safety, amounting to €169,681, and also received the German Society for General and Visceral Surgery (DGAV) Travel Award, valued at €5000. He earned abstract prizes for his pilot studies on diagnostic and prognostic tumor markers in adenocarcinomas of the gastroesophageal junction and extracellular vesicles as potential biomarkers for hepatocellular carcinoma, presented at Visceral Medicine 2023 in Hamburg and NRW-Visceral Medicine 2023 in Essen, each prize valued at €500. In 2022, he won another abstract prize for his work on the long-term effects of liver resection on circulating stem cells in hepatocellular carcinoma, presented at Visceral Medicine in Hamburg. He was recognized as a Medical Scientist by the Else Kröner-Forschungskolleg (EKFK) in 2018 and received a grant of €15,000 from the B. Braun-Stiftung the same year. In 2017, he was awarded €66,000 for young talent promotion by Frankfurt Research Promotion at Goethe University, Frankfurt am Main, Germany. His achievements also include the Frankfurt Research Prize of the Rudolf Geißendörfer Foundation in 2015, valued at €5,000, and a poster prize at the 19 Chirurgische Forschungstage in Würzburg, Germany, in 2015, valued at €500. He received the second prize for the Cancers Best Paper Award in 2015 and the German Academic International Network (GAIN) Travel Award to attend the 18th European Career Fair (ECF) in Boston, MA, USA, in 2014, valued at €2,000. He was honored with the People’s Choice award for Science as Art at the Nanotechnology for Health Care Conference in Petit Jean, AR, USA, in 2014. Additionally, he was granted $78,000 by the Arkansas Breast Cancer Research Program (ABCRP) in 2013 and received €50,000 from the DFG – German Research Foundation in 2012.

 

📝🔬Publications📝🔬

  • Jens Hoelzen, Lukas Fortmann, Dhruvajyoti Roy, Carsten Szardenings, Martina Holstein, Ann-Kathrin Eichelmann,Emile Rijcken,Brooke E. Frankauer, Peter Barth, Eva Wardelmann, Andreas Pascher, and Mazen A. Juratli. Robotic-Assisted Esophagectomy with Total Mesoesophageal Excision EnhancesR0-Resection in Patients with Esophageal Cancer – a single-center experience. Surgery 05/2024. In Press
  • Lamberty SA, Hoelzen JP, Katou S, Becker F, Juratli MA, Andreou A, Morgül MH, Pascher A, Strücker B. Validation of the IWATE Criteria in Robotic-Assisted Liver Resections. J Clin Med. 2024 May 3;13(9):2697. doi: 10.3390/jcm13092697. PMID: 38731226; PMCID: PMC11084793.
  • Juratli, M.A., Pollmann, N.S., Oppermann, E. et al. Extracellular vesicles as potential biomarkers for diagnosis and recurrence detection of hepatocellular carcinoma. Sci Rep 14, 5322 (2024). https://doi.org/10.1038/s41598-024-55888-8.
  • Diedrich AM, Daneshgar A, Tang P, Klein O, Mohr A, Onwuegbuchulam OA, von Rueden S, Menck K, Bleckmann A, Juratli MA, Becker F, Sauer IM, Hillebrandt KH, Pascher A, Struecker B. Proteomic analysis of decellularized mice liver and kidney extracellular matrices. J Biol Eng. 2024 Feb 22;18(1):17. doi: 10.1186/s13036-024-00413-8. PMID: 38389090; PMCID: PMC10885605
  • de Jongh C, Cianchi F, Kinoshita T, Kingma F, Piccoli M, Dubecz A, Kouwenhoven E, van Det M, Mala T, Coratti A, Ubiali P, Turner P, Kish P, Borghi F, Immanuel A, Nilsson M, Rouvelas I, Hӧlzen JP, Rouanet P, Saint-Marc O, Dussart D, Patriti A, Bazzocchi F, van Etten B, Haveman JW, DePrizio M, Sabino F, Viola M, Berlth F, Grimminger PP, Roviello F, van Hillegersberg R, Ruurda J; UGIRA Collaborative Group. Surgical Techniques and Related Perioperative Outcomes After Robot-assisted Minimally Invasive Gastrectomy (RAMIG): Results From the Prospective Multicenter International Ugira Gastric Registry. Ann Surg. 2023 Nov 3. doi: 10.1097/SLA.0000000000006147. Epub ahead of print. PMID: 37922237.
  • Hoelzen JP, Frankauer BE, Szardenings C, Roy D, Pollmann L, Fortmann L, Merten J, Rijcken E, Juratli MA, Pascher A. Reducing the Risks of Esophagectomies: A Retrospective Comparison of Hybrid versus Full-Robotic-Assisted Minimally Invasive Esophagectomy (RAMIE) Approaches. J Clin Med. 2023 Sep 7;12(18):5823. doi: 10.3390/jcm12185823. PMID: 37762765; PMCID: PMC10531670.Two senior authors
  • Peters AK, Juratli MA, Roy D, Merten J, Fortmann L, Pascher A, Hoelzen JP. Factors Influencing Postoperative Complications Following Minimally Invasive Ivor Lewis Esophagectomy: A Retrospective Cohort Study. J Clin Med. 2023 Aug 31;12(17):5688. doi: 10.3390/jcm12175688. PMID: 37685756; PMCID: PMC10488704.Contributed equally to the study
  • Mohr A, Besser M, Broichhausen S, Winter M, Bungert AD, Strücker B, Juratli MA,Pascher A, Becker F. The Influence of Apremilast-Induced Macrophage Polarization on Intestinal Wound Healing. J Clin Med. 2023 May 9;12(10):3359. doi: 10.3390/jcm12103359. PMID: 37240465; PMCID: PMC10219563

Changheun Hyun Oh – Medical Image Reconstruction- Best Researcher Award

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Changheun Hyun Oh – Medical Image Reconstruction

Changheun Hyun oh distinguished academic and researcher in the field Deep Learning based Medical Image Reconstruction. In terms of professional experience, he contributed to LG Electronics from 2017 to 2018. Subsequently, he joined the Neuroscience Research Institute of Gachon University in Fall 2018, where he has been actively involved in research endeavors. Throughout his educational and professional journey, he has demonstrated a commitment to advancing the field of Electrical Engineering and contributing to both academic and industrial domains.

 

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) during the period of Fall 2011 to Fall 2020, under the guidance of Professor HyunWook Park in the Image Computing System Lab. Prior to that, he completed his M.S. degree in Electrical Engineering at KAIST from Fall 2009 to Spring 2011, continuing his research with Professor Park. His academic journey at KAIST began with a B.S. degree in Electrical Engineering, spanning from Spring 2005 to Spring 2009.

conferences

He has actively contributed to numerous international conferences, showcasing his research in the field of Electrical Engineering and Medical Imaging. In 2011, as the first author, he presented a paper on “A Switching Circuit for the Rx Signal in the MRI System” at the International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). Subsequently, he continued to make significant contributions to conferences such as the International Forum on Medical Imaging in Asia and the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

His research work encompasses diverse topics, including the optimization of RF birdcage coils, the development of an optimum RF shield for simultaneous MRI-PET systems, and innovations in MRI techniques like water-fat separation and diffusion-weighted imaging. He also explored applications beyond medical imaging, such as his involvement in the International Symposium on Electronic Art and the International Society for Music Information Retrieval Conference.

In 2018, he presented a paper on “ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network” at the First International Workshop on Machine Learning in Medical Image Reconstruction, held in conjunction with the International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018. His research continued to advance in 2020, where he discussed “A direct MR image reconstruction from k-space via End-To-End reconstruction network using recurrent neural network (ETER-net)” at the Annual Meeting of the ISMRM.

In 2022, as the first author, he presented another breakthrough with “A deep learning based direct mapping method for EPI image reconstruction” at the Annual Meeting of the ISMRM. His active participation in these conferences reflects his dedication to pushing the boundaries of knowledge in his field and applying cutting-edge technologies to advance medical imaging techniques.

 📚Top Noted Publication

 

 

Harshavardhan Awari – Machine Learning-Healthcare

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Dr.  Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare

Dr.  Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.”

Eduvation

He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000.

Professional Profiles:

RESEARCH ACTIVITIES

He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence.

Achievements:

  1. Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021.
  2. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication
  3. Editorial Member for the Lattice Science Publication
  4. Reviewer for the Imaging Science Journal
  5. Reviewer for the ICCINS-2022
  6. Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems
  7. Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021)
  8. Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
  9. Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
Awards:

He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter.

His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022.

Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022.

In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022.

Publication

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM

CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, …
Concurrent Engineering 29 (4), 386-395 _ 2021

Text categorization Performance examination Using Machine Learning Algorithms

BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020

IoT Based Smart Solar Atmospheric Water Harvesting System

E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, …
IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

 

 

 

RAJESH SATURI – Deep learning

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Dr. Rajesh Saturi – Leading Researcher in Deep learning

Dr. Rajesh Saturi a distinguished academic and researcher in the field of Deep learning. He holds a wealth of academic achievements, culminating in a recently obtained Ph.D. in Computer Science & Engineering from the prestigious University College of Engineering at Osmania University in Hyderabad, completed in July 2023. Building upon this pinnacle of academic success, he also earned a Master’s degree in Computer Science & Engineering from the same institution in 2010. His educational journey began with a Bachelor’s degree in Computer Science Engineering from Kakatiya Institute of Technology and Science Engineering College, Warangal, in 2007. Prior to his undergraduate studies, he successfully completed a Diploma in Computer Science from V.M.R Polytechnic, Warangal, in 2004. His academic foundation was laid during his secondary education at St. Anthony’s High School, where he completed his SSC in the year 2000. With a comprehensive educational background, he brings a wealth of knowledge and expertise to the field of Computer Science & Engineering.🌟💻🔬

BOOKS PUBLISHED:

He, Rajesh Saturi, has made significant contributions to the field of literature through the publication of several noteworthy books. In “Fundamentals of Machine Learning Concept,” published by SK Research Group of Companies and communicated on February 23, 2023, he serves as the main author among a team of five authors. Additionally, he independently published “Theory of Computation and Automata” on July 1, 2020, through Amazon, where he stands as the main author in collaboration with four others.

Another independent publication, “Digital Image Processing,” released on June 16, 2020, features him as one of four authors, with Dr. Raju Dara as the main author. Furthermore, he authored “Data Science, Analytics, and Predictive Mining Using Open Source Tools,” independently published on July 14, 2020, through Amazon. In this work, he is listed as the main author among four contributors. Lastly, in the book “Cloud Computing,” published by RK Publishers and bearing the ISBN number 978-8119489008, he collaborates with Dr. Narayana as one of four authors. Through these publications, he has made a significant impact on the dissemination of knowledge in the realms of machine learning, computation theory, image processing, data science, analytics, and cloud computing.

Professional Profiles:

Webinars Attended:

🗣️ He has actively participated in and organized various webinars, showcasing his commitment to knowledge dissemination and professional development. Notably, he organized the webinar titled “AI & ML in Research Perspective” at Dr. M.G.R University in Chennai on March 14, 2022. Additionally, he played a pivotal role in the organization of the webinar on “NEP-2020 Implementation Plan: Multiple Entry and Exit System” conducted by UGC-HRDC-JNTUH at JNTUH on June 29, 2022. His involvement extends to webinars such as “The Art of Writing Research Papers” and discussions on “Blockchain Technology,” both organized by Chennai Institute of Technology in collaboration with Anna University, Chennai, on April 29, 2020, and May 20, 2020, respectively.

Further contributing to digital education, he actively participated in webinars on “Digital Learning” on May 9 and 16, 2020, and “Artificial Intelligence and Model-Based Design Teaching with Matlab” on June 25 and 26, 2020, all organized by Chennai Institute of Technology in Chennai. His engagement also includes the facilitation of a webinar on “Deep Learning in Telecommunications” at KIT, Coimbatore, on May 20, 2020, and an insightful session on “Introduction to Image Quality Measures” organized by Chennai Institute of Technology on May 13, 2020. Through his active involvement in these webinars, he has demonstrated his expertise and dedication to fostering learning and development in diverse domains.

WORKSHOP ATTENDED&CONDUCTED:

  1. Conducted workshop on ETHIAL HACKING by sai sathish Under CSI Student Branch in
  2. Conducted workshop on “INTERNET MARKETING” by IIM Delhi, Under CSI Student Branch in 2016.
  3. Conducted workshop on “WEB DESIGNING USING PHP “UNDER CSI 2 DAYS WORKSHOP FEB 8th &9th

ACHIEVEMENTS:

  •  Best researcher award by I20-by ministry of MSME,Govt of india  Pursuing Post Doctoral from University of South Florida, USA  under the guidance of
  • Supervisor – Prof. Bhuvan Unhelkar, University of South Florida, USA
  • Co-Supervisor -Prof. Prasun Chakrabarti, Deputy Vice Chancellor, ITM (SLS) Baroda University, INDIA .
  •   I2OR National Best  Researcher Award 2023 by MSME, Govt. of india
  •  “ACADEMIC EXCELLENCE AWARD 2023 – 2024, Novel Research Academy, accredited by the International Accreditation Forum (IAF) and Global Accreditation Assessment Forum Series (GAAFS) with ISO 9001: 2015.
  •  Editorial Member of International Journal of Internet of Things (IJIOT)
  •   Delivered Guest lecture at  Kasireddy Narayana reddy college of engineering and research, Hyderabad on 10-10-2023
  •  Reviewer for Springer conference (ICACTEA-2023)  and various journals
  •   Editorial member of American Journal of Data Mining and Knowledge Discovery

publication🌐🔧👨‍🔬

 

 

 

 

 

Maryamalsadat Mahootiha – Deep learning in medical imaging

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Maryamalsadat Mahootiha – Leading Researcher in Deep learning in medical imaging

Maryamalsadat Mahootiha  a distinguished academic and researcher in the field of Deep learning in medical imaging. She is a dedicated PhD student specializing in survival analysis with a focus on cancer prognosis. Her expertise spans cutting-edge machine learning, deep learning, medical imaging, medical statistics, and data mining. Originally from a computer science background, she seamlessly transitioned into the medical field, augmenting her knowledge with 32 credits from the University of Oslo’s medicine department.

Currently in a year-long visitation at the Artificial Intelligence in Medicine Lab at Brigham and Women’s Hospital, an affiliate of Harvard Medical School, she is actively working towards bridging and transferring knowledge from the United States to Europe. As she enters the third year of her doctoral studies in February 2024, she reflects on her significant contributions to five distinct projects related to survival analysis in cancer, with her latest project being a collaboration with the AIM group in the U.S. 🌟💻🔬

Education

She is currently pursuing her PhD at the Faculty of Medicine, University of Oslo (UiO) in Norway, focusing on survival analysis in cancer prognosis. Prior to this, she earned her Master’s degree from the Faculty of Computer and Informatics at Amirkabir University of Technology in Iran from 2018 to 2020. Her academic journey began with a Bachelor’s degree in Computer Engineering from Alzahra University, Iran, where she graduated in 2018. 🎓💻 Now, she seamlessly combines her computer science background with her passion for medical research in her doctoral studies.

Professional Profiles:

Current Position

🗣️ She is currently a Ph.D. student at Oslo University Hospital in Norway, delving into the intricacies of survival analysis in cancer prognosis. Additionally, from August 2023 to July 2024, she will be embarking on a Ph.D. student visitor role at the AIM lab, affiliated with Harvard Medical School and Brigham and Women’s Hospital in the United States. This unique opportunity allows her to contribute to cutting-edge research and collaborate with experts in the field, aligning with her broader goal of transferring knowledge from the United States to Europe. 🌍🔬 Her dual roles reflect her commitment to advancing medical research and embracing international collaboration.

AWARDS AND PRIZES

She has consistently excelled in her academic journey, earning top honors and recognition for her outstanding achievements. In 2018, she achieved the remarkable feat of being ranked 1st among all of her Bachelor’s classmates in terms of Total GPA at Alzahra University, Iran, showcasing her dedication and academic prowess. This trend continued into her Master’s program at Amirkabir University of Technology in 2020, where she once again secured the top position among her classmates in terms of Total GPA. 🏆

✨ Furthermore, her exceptional work was acknowledged in 2022 when she received recognition for the extension of a conference paper to a journal paper, earning the distinction of being among the best authors at the International Conference on Pervasive Computing Technologies for Healthcare in December 2022. 📚🎉 Her consistent academic excellence and contributions to research underscore her commitment to scholarly pursuits

publication🌐🔧👨‍🔬