Dr. Hany Ammar is a Professor Emeritus of computer engineering in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. He has published more than 200 articles in prestigious international journals and conference proceedings. Dr. Ammar served as the editor in chief of the Communications of the Arab Computer Society On-Line Magazine and the Journal of Computer Science and Engineering, in Arabic. In 2004, he co-authored a book entitled Pattern-Oriented Analysis and Design: Composing Patterns to Design Software Systems published by Addison-Wesley, and in 2006, he co-authored a book entitled Software Engineering: Technical, Organizational and Economic Aspects, an Arabic Textbook, He also co-edited the proceedings of the Second International Conference on Computer Science Practice in Arabic. Dr. Ammar has been teaching in the areas of software engineering and computer architecture since 1985.

Dr. Ammar served as the lead principal investigator in a research project funded by the Qatar National Research Fund to establish an International Center of Excellence in Software Engineering. In 2010 he was awarded a Fulbright Specialist Scholar award in information technology funded by the U.S. State Department – Bureau of Education and Cultural Affairs. He has been the principal investigator on a number of research projects on software risk assessment and software architecture metrics funded by NASA and NSF, and projects on automated identification systems funded by NIJ and NSF. He served as the WVU site director of the Software Engineering Research Center in 2002.

Dr. Ammar is a member of the IEEE and the ACM professional organizations. He has served as chairman and as a member of steering committees and program committees for several international conferences, workshops, and symposiums. He previously served as the chairman of the Upper Monongahela Subsection of the Pittsburgh section of the IEEE, a director of the Pittsburgh section of the IEEE, and the student section advisor of the IEEE Computer Society at WVU.

EDUCATION

• Ph.D. Electrical and Computer Engineering, University of Notre Dame
• MS, Electrical Engineering, University of Texas at El Paso
• BS, Physics, Cairo University
• BS, electrical engineering. Cairo University

PROFESSIONAL EXPERIENCE

• Professor Emeritus, computer science and electrical engineering, WVU
• Professor with tenure, computer science and electrical engineering, WVU
• Associate professor with tenure, computer science and electrical engineering, WVU
• Assistant professor, electrical and computer engineering, WVU
• Assistant professor, electrical and computer engineering, Clarkson University
• Research assistant, electrical and computer engineering, University of Notre Dame
• Teaching assistant, eectrical and computer engineering, University of Notre Dame
• Teaching assistant, electrical engineering, University of Texas at El Paso
• Instructor, engineering sciences department, Cairo University

PROFESSIONAL SOCIETIES

• Member, Institute of Electrical and Electronics Engineers
• Member, Association for Computing Machinery
• Member, IEEE Computer Society
• Member, IEEE Reliability Society 
• Member, Society of Computer Simulation

RESEARCH INTERESTS

General Areas

• Software engineering
• Identification technology
• Computer architecture

Specific areas

• Software risk assessment
• Software analysis and design
• Design patterns
• Software architectures
• Software metrics
• Software verification and validation
• Real-time systems
• Automated identification systems
• Fingerprint identification
• Dental image identification
• Ear and face identification

Email: hammar@wvu.edu

Phone: (304) 282-4213

HANY AMMAR

Professor of Lane Department of Computer Science and Electrical Engineering

Phone: 304.293.9682 |   Email:  hany.ammar@mail.wvu.edu

Office: AERB 246Dr. 

Mr. Kareem Ammar is a software professional with 15 years of development experience. His experience spans high-assurance systems and enterprise systems. He received a bachelor’s degree in computer engineering from West Virginia University in 2001, and a master’s degree in software engineering in 2004. His master’s research focused on using machine learners to increase software assurance. He continued his research for the West Virginia High Technology Foundation where he developed guidance for the verification and validation of neural networks and conducted qualification research for experiments onboard the NASA F-15 ACTIVE aircraft and the NASA Ikhana Predator B unmanned aircraft. 

Mr. Kareem Ammar gained experience under the DARPA MAV program where he developed software for the Honeywell T-Hawk Micro Air Vehicle. He was involved in all aspects of the software system including communications, payloads, mission, and ground sub-systems. In 2008, he received the Honeywell outstanding engineer award. He also received Six Sigma certification.

Mr. Kareem continued to gain experience working for Scientific Drilling International where he developed software for safety-critical survey and drilling systems. Software development spanned sensor integration, telemetry, and UI. 

His most recent experience involves front-end development for NEC ARS biometric matching and case management systems. These systems are in use by many domestic and international law enforcement agencies. He received professional Scrum with Kanban certification in 2022. 

EDUCATION
·         MS in Electrical Engineering with an emphasis on Software Engineering, West Virginia University, Morgantown, WV, 2004
·         BS in Computer Engineering, West Virginia University, Morgantown, WV, 2001

PROFESSIONAL EXPERIENCE
·         Senior Software Engineer, NEC Advanced Recognition Systems
·         Software Engineer Expert, Agilent Technologies
·         Software Engineer, Scientific Drilling International
·         Systems Engineer, Honeywell International Inc. Defense and Space Electronic Systems
·         Member of Research Staff, West Virginia High Technology Foundation
RESEARCH AND DEVELOPMENT INTERESTS
·         Machine learning
·         Safety critical systems
·         Design patterns
·         Software verification and validation
·         Automated identification systems
·         Fingerprint identification

 Publications:

• Ammar, Kareem. “Considerations for the Certification of Adaptive Controllers.” IJCNN Workshop on Applications of Neural Networks in High-Assurance Systems, August 2007.
• Ammar, Kareem, Laura Pullum, and B. J. Taylor. “Augmentation of Current Verification and Validation Practices.” Methods and Procedures for the Verification and Validation of Artificial Neural Networks, Springer, 2006, pp. 13-31.
• Ammar, Kareem. “Multi-Heuristic Theory Assessment with Iterative Selection.” MA thesis, West Virginia University, 2004.

Email: kareem.ammar@gmail.com

Phone: (408) 886-4396

Mr. AHMED AFIFY

Senior ML Engineer

LinkedIn: https://www.linkedin.com/in/afify/

 SUMMARY

• 4 years of work experience developing end-to-end large-scale machine learning solutions, including data gathering, pre-processing, feature engineering, model training and evaluation, deployment, and monitoring.
• 9 years of experience in Oil and Gas.

 MAIN AREAS OF EXPERTISE

• Machine Learning Operations (MLOps): AWS SageMaker, GCP Vertex AI, Familiar with Azure, Kedro
• Programming Tools: Python (Pandas, Scikit-learn, OpenCV, TensorFlow, Keras, PyTorch, PySpark), SQL
• Natural Language Processing Algorithms: Bert, RoBERTa
• Document Understanding: LayoutLM
• Computer Vision Algorithms: AlexNet, VGGNet, ResNet, Inception, Faster R-CNN
• Anomaly detection: Auto-Encoder, Random Cut Forests
• Time Series Algorithms: Facebook Prophet, Long Short Term Memory (LSTM)
• Containerization Tools: Docker
• ML Lifecycle Management: MLflow
• Workflow Management: Airflow
• Cloud Computing Services: AWS, Azure, GCP
• Data Visualization: Tableau, PowerBI
• Data Processing and ETL: Databricks
• Version Control: Git, GitHub

RELEVANT WORK EXPERIENCE

Senior Machine Learning Engineer, Rackspace Technology                                                          2022 – Present

• Delivering several projects, including the following:

Project 1: Full MLOps Solution

• Description: Led the design and development of an end-to-end MLOps solution with an automated CI/CD pipeline triggered by new code pushes to the Github development branch. The solution allows users to customize an ML pipeline by defining requirements and system parameters in a YAML config file. The appropriate processing, training, and MLOps pipelines are then integrated.
• Processing pipeline: This pipeline enables data processing on a variety of platforms, including locally, on Sagemaker, EMR, or Redshift.
• Training pipeline: This pipeline facilitates model training, which can be executed locally or on Sagemaker.
• MLOps pipeline: This pipeline handles model deployment, registration, and monitoring on Sagemaker.
• Inference pipeline: Developed a pipeline that performs inference on an OpenAI trained and fine-tuned model via a Sagemaker endpoint.
• Impact: Reduced the time required to deliver MLOps projects by 75%.
• Technology & Tools: Python, Kedro, AWS (S3, IAM, Sagemaker, EMR, SES, SNS, CodeBuild), OpenAI

Project 2: GCP Vertex AI Pipelines’ Automation

• Description: Implemented a CI/CD pipeline for several GCP Vertex AI pipelines. Created a development GitHub repository with proper branching strategies for managing the pipeline and maintaining the codebase, including the use of pull requests for smooth code review and integration.
• Impact: Improved collaboration, faster and reliable deployment, and increased efficiency.
• Technology & Tools: Python, GCP (Vertex AI, Kubeflow Pipeline, Cloud Build, Cloud Source Repository, Cloud Shell, Cloud Storage, BigQuery, Secret Manager), GitHub, Terraform

Project 3: Sales Leads Generation

• Description: Created a Data Engineering pipeline for Sales team leads that regularly scraps sales unstructured data from more than 20 websites into Delta Lake bronze tables then joins and transforms them into silver tables.
• Impact: Consistently generate new sales-leads. Generated 2000+ sales-leads upon first deployment.
• Technology & Tools: Python (PySpark, Beautiful Soup, Selenium), Databricks, Dela Lake Tables, and Git

Machine Learning Engineer, Provision Analytics                                                                                 2019 – 2022

• Deliver end-to-end ML models including design, development, deployment, and performance monitoring.
• Curate and explore datasets from various internal and public data sources to solve complex business challenges and deliver valuable insights.
• Provide technical strategy including identifying areas for ML opportunities and designing guidelines and best practices for the data science team.
• Delivered several projects, including the following:

Project 4: Forms Classification

• Description: Implemented an end-to-end ML forms classification solution that helps our clients organize thousands of forms to ease their auditing procedures. This solution includes labelling, model training, and inference pipelines.
• Labelling Data: Designed a semi-automatic labelling pipeline that identifies our client’s form types using a pre-trained classification network and a clustering algorithm, which reduced manual labelling time by 80%.
• Model Training: Using the labeled forms, I trained several image-classification models to learn the types of the scanned forms.
• Inference Pipeline: The model is deployed on Azure as part of an inference pipeline that ingests scanned forms, preprocess them, queries the model, and outputs form types.
• Impact: Transform a manual process to an automated, scalable, and more accurate ML process.
• ML Algorithms: K-Means clustering, AlexNet, VGGNet, ResNet, and Inception-v3
• Technology & Tools: Python, Tensorflow, Keras, Docker, Azure, MLflow, and Git

Project 5: Forms Digitization and information extraction

• Description: Implemented a pipeline that extracts specific key-value pairs from forms and stores them in a database for future analysis and machine learning applications. This solution includes data preparation, model training, and an inference pipeline.
• Data Preparation: Orchestrated the labelling efforts where specific key-value pairs were identified. Then I used Google Tesseract to extract the bounding boxes coordinates of each key-value pair.
• Model Training: Trained LayoutLM using the previously obtained key-value pair and their coordinates.
• Inference Pipeline: The model is deployed on Azure as part of an inference pipeline that ingests scanned forms, preprocess them, queries the model, and outputs key-value information identified in a tabular format.
• Impact: Transform a manual process to an automated, scalable, and more accurate ML process.
• ML Algorithms: LayoutLM (Bert, Faster R-CNN)
• Technology & Tools: Python, Pytorch, Google Tesseract, Hugging face, Docker, Azure, MLflow, and Git

Project 6: Products Classification

• Description: Developed a web scraper to extract products’ information from the EBIT public website that contains more than 500,000 dynamically linked webpages with inconsistent structure and 24 different languages. Then used this dataset to train Facebook RoBERTa ML model to classify products based on their descriptions into 14 main classes created by HSCODE L2 aggregation of products. This solution includes data preparation, model training, and testing.
• Impact: Reduced human effort for classifying different products to fractions of a second.
• ML Algorithms: RoBERTa
• Technology & Tools: Python, Pytorch, Pandas, Beautifulsoup, Selenium, Google Translate API, Hugging face, MLflow, and Git

Project 7: Companies and Products identification

• Description: Web scraped all the recall events from the CFIA public website. Created Named Entity Recognition (NER) models using Bert’s algorithm on the scraped dataset to identify companies and products responsible for recall events.
• Impact: This project enhanced the traceability of recall events in the supply chain industry.
• ML Algorithms: Bert
• Technology & Tools: Python, Pytorch, Pandas, Beautifulsoup, Selenium, Hugging face, MLflow, and Git

Project 8: Yield production prediction

• Description: Forecasted the yield production for several crops using Facebook Prophet Model and LSTM based on a time series data with several features such as fertilizer type, fertilizer application rate, amount of water, farm location, and temperature.
• Impact: This model helped farmers identify the amount of fertilizers and water needed to achieve their desired yield.
• ML Algorithms: Facebook Prophet, and Long Short Term Memory (LSTM)
• Technology & Tools: Python, Pandas, Tensorflow, Keras, MLflow, and Git

Project 9: Sneakers Authentication

• Description: Designed a complete ML solution that allows the app’s user to validate the authenticity of sneakers by uploading images with specific angle and resolution requirements. This solution includes data preparation, machine learning model design, model training, deployment, and performance monitoring.
• Model Training: Using the labeled images from the client, trained several machine learning models to learn the authentic features of different sneaker products.
• Inference Pipeline: The model is deployed on AWS and is triggered from our mobile app once the user requests the authentication service. The pipeline preprocesses the client images, queries the model, and outputs the authentication results.
• Impact: Make it possible for buyers to assess sneaker authenticity in a convenient and user friendly way with the need for experts.
• ML Algorithms: CNN Auto-encoder, Amazon Lookout for Vision
• Technology & Tools: Python, Tensorflow, Keras, AWS, MLflow, and Git

Data Scientist Intern, KPMG                                                                                                                                2018

• Analyzed marketing campaigns’ data to quantify opportunities, anticipate risks, develop solutions, and measure success.
• Routinely analyzed the output of marketing analytics models and created advisory reports with recommended actions.
• Presented dashboards with several KPIs to assist the leadership team in making data-informed decisions.
• Applied machine learning algorithms to provide business insights to the marketing team:

Project 10: Customer Segmentation

• Description: Provided customer segmentation for the consulting department based on Recency, Frequency and Monetary Value.
• Details: Applied Elbow Method to find the optimal cluster number for optimal inertia. Implemented K-means clustering to assign customers a recency, frequency, and monetary values and created an overall score. Based on the overall score, the ML algorithm provided remediation recommendations.
• ML Algorithms: K-Means clustering
• Technology & Tools: Python, Pandas, SQL, and Git

AWARDS

• Faculty of Engineers Graduate scholarship for outstanding academic performance.

CERTIFICATIONS                                                                   

• AWS Data Analytics – Specialty Certification number: 6GMT31D2SNR1165E      2022
• AWS Solutions Architect – Professional Certification number: SXQ507PD1BRQ1491       2021
• Professional Scrum Master (PSM) I Verification email: ahmad.afify@gmail.com          2019
• Professional Scrum Product Owner (PSPO) I Verification email: ahmad.afify@gmail.com          2019                                                                                                               

EDUCATION

• Master of Computer Engineering (MEng), University of Waterloo       2017 – 2019
• Specialization: Artificial Intelligence and Machine Learning
• Cumulative GPA: 90/100
• Courses:

Biography of Omar Bagasra, M.D., Ph.D.

   In 1948, somewhere on the plains of India, Omar Bagasra was born in a

back of a wooden oxcart.  His refugee family was migrating north during the exodus of the twenty-five million souls who were forced to leave their ancestral homelands when the former British colony of India was being partitioned during its struggle to become independent.  At least eight million of these refugees—Sikhs, Muslims, and Hindus alike—perished in this partitioning.  Being Muslims, Omar’s family settled in the new nation of Pakistan, where his father became a successful grain merchant and where ten more brothers and sisters were born, and one was adopted.  In this somewhat volatile environment, Omar grew into a young man.   

   At age of 16, Omar decided to study other faiths and adopted an ascetic lifestyle—starting as a Buddhist monk-a creed for where warfare is anathema.  He left his parents’ home in Pakistan and journeyed to a monastery in Tibet and lived as a Buddhist disciple, and then moved to Northern provinces and Afghanistan and visited many Faqirs. After two years of a life of a Faqir, Omar reflected that the scientific understanding of nature was just as important as path to truth as the more mystical, consciousness approach of the ascetic monks.    

   He therefore returned to Pakistan and enrolled in the Karachi University, where he earned a bachelor and a master’ degree in biochemistry.  “I wanted to get even higher education,” he says, “but in Pakistan at that time, that was as high as I could get.”  So, in 1972, he flew to Chicago’s O’Hare airport—carrying just a suitcase of clothing and an extra hundred dollars in his pocket.

   Omar didn’t know anyone in the U.S., but he soon found employment in the road construction industry, and he learned to speak better English—his seventh language.  He then got better job manufacturing brake shoes for the Ford Motor supplier in Albion, Indiana, near Ft. Wayne.  Omar saved his wages and enrolled first at Indiana University and after a year at the University of Louisville; soon he got his first scientific job working as a lab technician at the nearby Clark County Memorial Hospital in Jeffersonville, Indiana.  There he met a young nurse, Theresa Mahoney, and the two were married.  By 1980, Omar had earned a Ph.D. in microbiology and immunology.  He joined a group in Albany, NY to do his post-doctoral fellowship in Infectious Disease and the family moved to Philadelphia, when his post-doc mentor moved to the city, where Omar became a junior faculty member at Hahnemann University and a citizen of the United States of America.

   Soon thereafter, Dr. Bagasra decided to go to medical school. But admissions policies at that time were very restrictive for individuals born and educated overseas and the tuition was more than he can afford, so the 32-year-old Omar—never one to be confined by national borders—went to study medicine at the Universidad Autónoma in Ciudad Juarez, Mexico.  After two years of study, he went to Temple University, where he completed his clinical training.  Subsequently, he completed residency in anatomic pathology at Hahnemann and Temple Universities, a fellowship in Clinical Laboratory Immunology at the Saint Christopher’s Hospital for Children, while serving as a full-time faculty member at Hahnemann University, all in Philadelphia. 

   Before coming to Claflin University, Dr. Bagasra held professorships at Hahnemann University (1980-1987) and Thomas Jefferson University in Philadelphia, where he served as director of the Molecular Retrovirology Laboratories and Section Chief of Molecular Diagnostics of the Center for the Study of Human Viruses, as well a Professor of Medicine from 1991-98.  Dr. Bagasra also keeps a hand in clinical work—he is currently board-eligible in anatomic pathology and a diplomat of the American Board of Medical Laboratory Immunology (ABMLI), and the American Board of Forensic Examiners and a Fellow of the American College of Forensic Examiners.

   Dr. Bagasra’s research interests have long been associated with the study of HIV and AIDS.  In fact, he has been on the trail of the virus since 1981—the year of the first scientific report. For several years he focused on trying to gain insight into the molecular pathogenesis of HIV and role of microRNA in protection against lentiviruses. In 1998, he was the first to clearly discuss the protective role of small RNAs against retrovirus and lentivirus (“HIV and Molecular Immunity,”). His unswerving dedication to his work has resulted in over 200 scientific articles, book chapters, and books. During the last few years, he has received several national and international prestigious awards and recognitions.  In 2002 and in 2014 he received Faculty Scholar Award from the American Association for Cancer Research. In 2006 he was the co-recipient of the South Carolina Governor’s Award for Excellence in Science. From 2002-2006 he also served as the Council Member of the American Association of Cancer Research (MICR-AACR). Dr. Bagasra currently serves as professor of Biology and the director of the South Carolina Center for Biotechnology at Claflin University, which he founded in 2001. Much of his work has been recognized in top-tier journals, such as New England Journal of Medicine, The Proceedings of the National Academy of Science, Journal of Virology, Journal of Immunology, Journal of Pediatrics, Nature Medicine, Nature Protocol, Science, EBioMedicine and many other journals.

The Institut Pasteur’s Luc Montagnier – the discoverer of the AIDS virus and 2008 Nobel Laureate–described Dr. Bagasra as “a skilful researcher…(and) a discerning scholar who explores new ideas”, observing he already had a track record for challenging conventional wisdom and being proved correct. “Every scientist now knows that a significant percentage of circulating lymphocytes are infected with HIV but in 1992 his findings were highly controversial,”

Currently, Dr. Bagasra has been working on the etiologies of Autism as well as Alzheimer’s disease. He has discovered several neurogenic factors from plants that may remedy neurodegeneration and dementia. He recently published a book on role of environmental chemicals in pathogenesis of Autism.  

Dr. Sameh Hassanien Basha, Ph.D. Assistant Professor, Department of Mathematics, Faculty of Science Cairo University. He received Ph.D. and master’s degrees in computational science from the Department of Mathematics- Faculty of Science- Cairo University, Egypt, in 2001, and 2018 respectively. He received Bachelor’s Degree with a specialization in Mathematics and Computer Science from the Department of Mathematics- Faculty of Science- Cairo University, Egypt, in 2005. His research interests include Machine Learning and statistical methods applied to the analysis of many types of data for basic science purposes, Optimization techniques, Soft computing to deal with imprecise, incomplete, inconsistent data, Rough sets to reduce the amount of data and obtain the same accuracy, Neutrosophic set and neutrosophic logic which generalizes the fuzzy set and fuzzy logic, and Data Mining which aims to extract the useful hidden information from the data. My research in both master’s and Ph.D. degrees is focused on using soft computing techniques to deal with imprecise, incomplete, inconsistent, and vague data. In the master thesis, we used the wavelet method as a reduction technique to refine the input rules for the hybrid genetic-fuzzy data mining model. In my Ph.D. thesis, we defined a Neutrosophic Rule-Based System(NRBS) which is a rule-based system where neutrosophic logic(NL) is used as a tool for representing different forms of knowledge about the problem at hand, as well as for modeling the interactions and relationships that exist between its variables. One of the major drawbacks of NRBSs is that they are not able to learn but require the KB to be derived from expert knowledge. The key point is to employ an evolutionary learning process to automate the NRBS design. The second step is building a hybrid system between the Genetic Algorithm and a neutrosophic rule-based system that aimed to the genetic learning process of designing or optimizing the KB. My research activity focuses on developing, analyzing, and using soft computing methods and Machine Learning (ML) algorithms.

Publications

Dr. Abdelrahman Desoky is a Computer Scientist and an ambitious Computer Engineering Doctorate with over 20 years experience in the computer field. He is an experienced educator at both the graduate and undergraduate levels. Furthermore, he has industrial expertise in developing full life cycle systems such as software, hardware, security, and telecommunications/networks.

Dr. Desoky received a Doctoral Degree (Ph.D.) from the University of Maryland and a Master of Science (M.Sc.) from the George Washington University; both degrees are in Computer Engineering. His Doctoral Dissertation is entitled “Nostega: A Novel Noiseless Steganography Paradigm.” The paradigm explores the topic of noiseless steganography, which refers to the science and art of covert communications. Nostega provides a way to secure information in a static stage and during data transmission to a legitimate recipient. His M.Sc. degree concentrated on Computer Architecture and Networks.

His research is entitled “Security Architecture for Computers and Networks.” Dr. Desoky believes that education never stops regardless of the highest degree one holds. Therefore, he is committed to pursue knowledge at all times. Some of his hobbies are chess, watching nature, ping pong, soccer, and he is a bird enthusiast. He writes also poems and enjoys painting abstract and classic art. He acquired his skills from his wonderful parents, self-study, courses, etc. Dr. Desoky is determined that a healthy lifestyle, eating healthy and exercising, is imperative to a healthy mind that enables innovation.

EDUCATION

Visiting Scholar, The University of California, Berkeley, UC Berkeley College of Engineering,

2022 January – August.

Societies:
🏛️ University of California, Berkeley
🏛️ UC Berkeley College of Engineering
🏛️ Berkeley Blockchain Xcelerator
🏛️ UC Berkeley Sutardja Center for Entrepreneurship and Technology

Activities
🌍 Investigating Blockchain Technologies
🌍 Scientific Research & Development Collaborations

🏝️ Field of Research/Study:
🌍 Blockchain Technologies
🌍 Computer Science
🌍 Computer Engineering
🌍 Cybersecurity

___________________

Ph.D. in Computer Engineering, The University of Maryland, Baltimore County, Department of Computer Science & Electrical Engineering, 2004 – 2009.

___________________

M.Sc. in Computer Engineering, The George Washington University, Department of Electrical and Computer Engineering, 2003 – 2004.

___________________

Dr. SHAKER EL-SAPPAGH received a bachelor’s degree in computer science from the Information Systems Department, Faculty of Computers and Information, Cairo University, Egypt, in 1997, and a master’s degree from the same university in 2007. He received a Ph.D. degree in computer science from the Information Systems Department, Faculty of Computers and Information, Mansura University, Mansura, Egypt in 2015. In 2003, he joined the Department of Information Systems, Faculty of Computers and Information, Minia University, Egypt as a teaching assistant. Since June 2016, he has been with the Department of Information Systems, Faculty of Computers and Information, Benha University as an assistant professor. He worked as a research professor at the UWB Wireless Communications Research Center in the Department of Information and Communication Engineering at Inha University, South Korea for three years (2018-2020).  He worked as a research professor at the Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain for one year (2021). Now, he is an associate professor at Galala University, Egypt since 2021. He is also a senior researcher at the College of Computing and Informatics, Sungkyunkwan University, South Korea since 2021. He has publications in clinical decision support systems and semantic intelligence. His current research interests include machine learning, medical informatics, (fuzzy) ontology engineering, distributed and hybrid clinical decision support systems, semantic data modeling, fuzzy expert systems, and cloud computing. He is a reviewer in many journals, and he is very interested in disease diagnosis and treatment research.

Dr. Gamal Fahmy received the B.Sc. and M.Sc. degrees from Assiut University, Assiut, Egypt, in 1996 and 1998, respectively, and the Ph.D. degree in electrical engineering from Arizona State University, Tempe, USA in 2003.

From 2003 to 2005, he was a Research Assistant Professor at West Virginia University, where he worked on several Biometric identification and recognition projects, from 2006 to 2012 he was with the German University in Cairo and an annual summer Senior Researcher at the Institute of Image and Computer Vision at RWTH Aachen, Germany.

Dr Fahmy won the Egypt National State Award in Engineering Sciences 2012-2013. His research interests include image super-resolution, Computer vision, biometric identification and image forensics. Dr. Fahmy was an Alexander von Humboldt research fellow at Bochum Universitat, Germany, in summer 2018 and 2019. He is currently a Professor of Computer Engineering at the Faculty of Computer Science and Engineering at Galala University, Egypt.

Title:

Micro Movement and Change Maximization in Video Signals for different applications

Abstract:

In this talk, we analyze video signals and try to maximize micro movements in video signals to make them visible. These micro movements are typically undetectable and can’t be seen by human beings. We utilize several frequencies and transform domain tools to maximize the difference in frame pixels and try to detect any minor change in frames and try to magnify this difference to yield video signals with movement maximization. This movement maximization is achieved by magnifying some specific frequency bands by a multiplication factor and reconstructing back the video signal after some manipulation and modification to make these micro movements seen and observable. These micro movements can later be utilized in different applications such as Medical Imaging, Structural Engineering, Mechanical Engineering, Physical Feature Analysis and Industrial Engineering. In our work we introduce our own model for micro movement magnification, compare it with the recent state of the art work (el. Freeman.), and show the tradeoffs.

Dr. Abdeltawab Hendawi is an assistant professor in Computer Science and Data Science at the University of Rhode Island. He is the Co-director of the AI-Lab at URI.  He received his Ph.D. in Computer Science from the University of Minnesota in 2015, then spent four years as a Post Doctoral Researcher with Prof. John Stankovic in Computer Science at the University of Virginia. His research interests are centered on big data management and analytics with a focus on smart cities and smart health related applications. His work has been recognized by a number of awards, including the Best Paper Award at ACM SIGSPATIAL MobiGIS 2012; Best Design/Plan Poster Award and Best Overall Poster Award at the U-Spatial Symposium 2013; Best Demo Paper Award at ACM SIGSPATIAL 2014; Data Science Research Fellowship at the University of Washington 2014; Best and Second Best Demo Paper Awards at IEEE MDM 2015; Hobby Postdoc Research Fellowship at the University of Virginia 2015; Blue Sky Ideas Award 2016 and Best Runner-up Vision Paper Award at ACM SIGSPATIAL 2016;  Best Poster Award at the UVa Research Symposium 2018; and Best Demo Paper Award Runner-up at ACM SIGSPATIAL 2018. Dr. Hendawi is the founding co-chair of the IEEE Big Spatial Data Workshop 2016 to 2022.

Mr. MD TARIQUL ISLAM (TARIQ), MSc, PMP

LinkedIn | https://www.linkedin.com/in/tariq-i-74590b23/

PROFESSIONAL EXPERIENCE

Scientist, SCIRED (Data Science & Data Engineering), California, US (Remote)          June 2023 to date

• Spearhead the development and implementation of a Blockchain-based public health surveillance system for real-time infectious disease monitoring and reporting using data streaming, and creating data pipelines
• Design and execute research studies to evaluate the efficacy of Blockchain technology in enhancing data security and interoperability in disease surveillance.
• Leverage Data Science techniques, including machine learning algorithms, Python, and SAS macro to identify disease trends and predict outbreaks for timely intervention and control.
• Collaborate with public health agencies and international partners to standardize data exchange protocols and enhance global infectious disease surveillance efforts.
• Incline to publish research findings in reputable scientific journals and present results at major conferences, contributing to the advancement of early disease detection methodologies.

Operations Officers (Data Science & Automation), Statistics Canada, Toronto     June 2022- May 2023

• Led the Data Science and Automation team to develop and implement data-driven solutions for various operational challenges. Collaborated with business stakeholders to identify opportunities for automation and process improvement, resulting in enhanced efficiency and cost savings.
• Designed and implemented data automation workflows to streamline data collection, processing, and reporting, reducing manual effort by 30%. Applied statistical analysis and Machine Learning models to predict demand patterns and optimize inventory management, leading to a 15% reduction in inventory costs.
• Developed interactive dashboards and reports using Tableau to provide real-time insights to senior management for strategic decision-making. Extensive experience in developing and implementing data automation workflows using Python, R, SAS, SAS macro, and SQL reducing manual effort and improving accuracy.
• Oversaw the deployment of automation tools and technologies, ensuring seamless integration with existing systems and data sources. Conducted regular data audits and quality checks to maintain data accuracy and integrity across operational databases.

Clinical Data Analyst, Q2 Solutions
(IQVIA) Canada, Toronto ON (Contract)        March 2022–June 2022

• Led statistical analyses on healthcare datasets from hospital clinical databases, including DAD, NACRS, and CCRS, to evaluate healthcare interventions and identify trends in patient outcomes.
• Applied advanced statistical models, including linear regression and logistic regression, to assess the impact of treatments and interventions on patient populations.
• Conducted hypothesis testing using SAS macro to validate research hypotheses and support evidence-based decision-making for healthcare providers and administrators.
• Collaborated with healthcare organizations to design and implement data-driven quality improvement initiatives, resulting in enhanced patient care and increased operational efficiency.
• Developed custom data visualizations and interactive dashboards to present analytical findings and facilitate data-driven decision-making processes.
• Provided expert guidance to internal and external stakeholders on statistical methodologies and best practices for health analytics projects.
• Contributed to the development of research publications and whitepapers to share insights and contribute to the advancement of healthcare analytics.

Data Analyst, Ches Special Risk, Toronto ON (Contract)                                             Nov 2021 – March 2022

• Gathered/elicited requirements, (through JAD sessions, Brainstorming, Interviews, document analysis; workshops, workflow analysis, etc) working on the Online/Web channels and data migration projects using Waterfall/SDLC methodology
• Conduct data mining, business intelligence gathering, and trending to support data analytics decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment, and process reengineering.
• Worked on data-driven portfolio deep-dive projects from end to end to interpret portfolio data, identify risk drivers, and support business development using Python, SAS macro & SQL
• Involved in creating complex Stored Procedures, triggers, cursors, tables, views, and other SQL joins and statements for applications
• Created visually impactful dashboards in Excel and Tableau for data reporting by using Pivot tables and Vlookups; extracted, interpreted, and analyzed data to identify key metrics and transform raw data into meaningful, actionable information

Supervisor, Statistics Canada, Canada (Contract)                                                                April 2021 – Aug 2021

• Updated and generated complex SQL queries within the MS Access environment to manipulate data and used VBA Excel (pivot tables/charts, macros, lookups, external data connections, graphs, advanced formulas) for analyzing data
• Involved in developing reporting dashboards and preparing a comprehensive analysis
• Motivated employees through weekly meetings and upgraded the team’s specialized knowledge through weekly assignments
• Performed data analysis, data mapping, and data cleaning through cross-referencing in Excel Sheets
• Prepared and presented analytical reports for management to support the decision-making process
• Created VBA libraries to create new SQL queries and high-performance reports with enhanced functionality
• Implemented Referential Integrity for cascade updates, optimized forms, SQL queries, and VBA code
• Used advanced VBA debugging tools to reverse engineer complex Access VBA code and Excel Macros
• Created a master MS Access database with Wizards and GUI with MS Office Automation to run remote MS Access databases and Excel applications for Pivot Table analysis
• Dedicated 20-30% of the time to Business Analysis, to collect, understand and prioritize the requirements, translate them into technical concepts, and manage the work steps
• Working closely with the internal reporting group, including reporting specialists and senior management

Clinical Research Data Coordinator, UHN, Toronto, ON                                                     May 2020 – Aug.2020

• Coordinated data management activities for multiple clinical trials, ensuring adherence to study protocols, regulatory requirements, and data standards.
• Developed and implemented data collection tools, including case report forms (CRFs) and electronic data capture (EDC) systems, in collaboration with cross-functional teams.
• Conducted data cleaning, validation, and discrepancy management to ensure data integrity and accuracy.
• Performed quality control checks on study data to identify and resolve inconsistencies and discrepancies.
• Generated and maintained study-specific data management plans, data dictionaries, and standard operating procedures (SOPs).
• Collaborated with study investigators, site coordinators, and data management teams to resolve data-related issues and queries promptly.
• Prepared and presented regular progress reports to project managers and stakeholders.
• Contributed to the development and implementation of data management best practices, process improvements, and training programs for data coordinators.
• Assisted in the preparation and submission of clinical trial data for regulatory submissions and audits.

Lab Data Analyst, Apotex Pharmaceuticals, Toronto                                             April 2018 – May 2019

• Managed and maintained the LIMS database, ensuring accurate and up-to-date information on sample tracking and laboratory activities. Updated and generate complex SQL queries within the MS Access environment
• Developed custom reports and dashboards using Qlik and Power BI to visualize laboratory data, facilitating data-driven decision-making for research projects.
• Conducted data quality checks and validations, identifying and resolving data discrepancies to maintain data integrity. Proficient in SAP to manage laboratory workflows, track samples, and maintain accurate data records
• Collaborated with laboratory staff and researchers to understand data requirements and provide timely data support for ongoing projects.
• Streamlined laboratory processes by optimizing LIMS workflows, resulting in a 20% reduction in data entry time and improved data accuracy.

Research Fellow, University of Saskatchewan, SK, Canada                                      Sep 2013 – Dec 2015

• Successfully developed research protocol and analyzed genomic data using Python, R, and SAS
• Provided computational research support, and performed studies related to the research project
• Performed query reports using MySQL, PostgreSQL, and Oracle SQL
• Efficiently measured and monitored gene expression, and performed microscopic analysis for successful testing
• Assisted in writing research papers, manuscripts, and conference abstracts for publication and dissemination.
• Contributed to academic publications and supported the preparation of grant proposals.

Research Scholar, Simon Fraser University, BC Canada,                                              Nov 2011 – Jul 2013

• Conducted extensive literature reviews to identify gaps in the field of health informatics & infectious disease, assisted in developing research proposals that outline research objectives, methodologies, and expected outcomes. Monitored cell interactions, modified, tested, verified, and analyzed predictive research data successfully using genomic data science and machine learning
• Prepared query data report for analysis by using SQL and MySQL
• Successfully cloned all constructs and Immunolocalization through Confocal Microscopy

Graduate Research Assistant, Umeå University, Umea, Sweden                              Jan 2010 – Oct 2011

• Conducted data analysis using statistical software (e.g., R, Python, SAS) to identify patterns, trends, and relationships within the healthcare datasets. Interpret research findings and contribute to the formulation of data-driven insights.
• Conducted literature reviews to support ongoing research projects in health informatics and data science. Stay up-to-date with the latest developments in the field and assist in developing research proposals and grant applications.
• Assisted in the development and implementation of software tools, algorithms, and data models for health data analysis and visualization. Collaborate with research teams to design and test innovative solutions to address healthcare challenges.

EDUCATION & CERTIFICATIONS

Rotman School of Management – Business Analytics: Data-driven Decision Making, University of Toronto        2021

Advanced Diploma in Data Science (Honours)       Metro College, Toronto                                                                       2021   

Post-graduate Certificate in Project Management, (Honors), Centennial College, Toronto                             2020

Masters of Science in Molecular Biology (Bioinformatics), Umea University, Sweden                                   2011                                             

TECHNICAL SKILLS

Data Science and Data Engineering, Project Management, Data Warehousing, Data Lakes, ETL/ELT, Tableau, Cloud Computing, VBA, Python, Alteryx, MS Access, MS Word, MS Excel – pivot tables/charts, macros, lookups, external data connections, advanced formulas, MS PowerPoint, MS Outlook, Salesforce.com Administrator, CRM, R, SAS, SQL, MySQL, SQL Developer, Tableau, Power BI, Agile, Hybrid, SDLC, Waterfall. Freshdesk, Slack, Sharepoint, Zoom, GSuite, Jira, Confluence, Azure

  PUBLICATIONS

1. Ahmed,M. A. Islam, m. S. Rahman, M. T. Islam and R. A. N. E. Ferdous, 2009. Effect of Ga3 On Yield Contributing Characters of Mungbean. Int. J. Sustain. Agril. Tech. 5(8): 58-63,
2. Hossain, M.A.; Islam, M.T.; Islam, M.S.; Rahman, A.B.M.M and Miah, M.A.S. 2005. In vitro Propagation of Stevia (stevia rebaudiana ). An Elite Sweetening Herb. Bangladesh Journal of Sugarcane. 24-27:121-12  

Mr. Mohamed Mostafa is an undergraduate student pursuing a Bachelor’s degree in Informatics and Computer Science, majoring in Information Security, at The German International University-GIU in Cairo, Egypt. Mohamed is an active participant in research and has worked as an Undergraduate Research Assistant at the University of South Florida, the University of Illinois Urbana-Champaign, and the Information Security Research Group at The German International University-GIU. He has contributed to several research projects related to threat intelligence, cryptography, privacy-preserving systems, and network security, and has co-authored research papers on topics such as Image Encryption, Social Engineering, and IoT Security. He aspires to be a well-known researcher and entrepreneur.

 Publications:

·   W. Alexan, E. Mamdouh, M. ElBeltagy, A. Ashraf, M. Moustafa and H. Al-Qurashi, “Social Engineering and Technical Security Fusion,” 2022 International Telecommunications Conference (ITC-Egypt), Alexandria, Egypt, 2022, pp. 1-5, doi: 10.1109/ITC-Egypt55520.2022.9855761.

·   M. ElBeltagy, W. Alexan, A. Elkhamry, M. Moustafa and H. H. Hussein, “Image Encryption Through Rössler System, PRNG S-Box and Recamán’s Sequence,” 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2022, pp. 0716-0722, doi: 10.1109/CCWC54503.2022.9720905.

·   W. Alexan, A. Ashraf, E. Mamdouh, S. Mohamed and M. Moustafa, “IoMT Security: SHA3-512, AES-256, RSA and LSB Steganography,” 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam, 2021, pp. 177-181, doi: 10.1109/NICS54270.2021.9701567.

Dr. Pawar is an Assistant Professor in the Department of Computer Science and Biology at Claflin University (https://www.claflin-computation.com/) with a master’s in computer science and a Ph.D. (https://scholarworks.gsu.edu/biology_diss/216/) from Georgia State University, Atlanta. He’s also a co-founder of a Connecticut-based AI (https://www.ai4hlth.org/product-profiles/ChestAi) company, ChestAi (https://www.chestai.org/), and a research affiliate at Yale University School of Medicine (https://campuspress.yale.edu/shrikantpawar). Until 2020, he was an Associate Research Scientist at Yale Center for Genome Analysis. His research is focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVMs, Restricted Boltzmann machines, Clustering algorithms, etc.). You can browse some of the recent machine learning applications on GitHub in projects. The detailed list of credentials can be found on the following profile pages:

LinkedIn: http://www.linkedin.com/in/shrikant-pawar-ms-ph-d-5bb37a16

NCBI-Bibliography: https://www.ncbi.nlm.nih.gov/myncbi/18IT7znYQEs1yv/bibliography/public/

Google Scholar: https://scholar.google.com/citations?user=SvcIPSsAAAAJ&hl=en&oi=ao

GitHub: https://github.com/spawar2

Orcid: https://orcid.org/0000-0002-6157-2462

Field of Research/Study: Bioinformatics; Computational Biology; Data Science; Artificial Intelligence; Computer Vision.

Dr. Theppatorn Rhujittawiwat is an academic researcher and educator in the field of Computer Science and Engineering. He currently holds the position of Assistant Professor at Claflin University, contributing to the academic community through his expertise and dedication.

Dr. Rhujittawiwat earned his Bachelor’s and Master’s degrees in Computer Engineering from the Chulalongkorn University in Thailand, where he laid the foundation for his future pursuits in technology and research. Building upon his strong academic background, he pursued and successfully attained a Ph.D. in Computer Science and Engineering from the University of South Carolina. His research interests span a wide spectrum of crucial topics, including cybersecurity, data ontology, data semantics, data provenance, database management, and data stream processing.

Dr. Mohammad Sabry

Present Job:

– Chairman and Attending Anesthesiologist Nopain Associates, Mccomb, MS (USA).

– Adjunct Clinical Professor, William Carey University College of Osteopathic Medicine, MS (USA)

– Lecturer of Anesthesiology, Faculty of Medicine (Alexandria University, Alexandria, Egypt).

– Phone; 901-212-5673

Career Objectives: To reach the highest standard in pain management, anesthesia practice and education with improving outcome both short and long term.

Education and Degrees:

·  Medical School Diploma (M.B.,CH.B.) from Alexandria Faculty of Medicine, (Alexandria, Egypt) on November 1993 with general grade (Excellent).

·      
Master degree in Anesthesiology on October 1997 with general grade
(Good).

·      
United State Medical License Exam step-1 (1997), Step-2 (1995 &
2004) and step-3 (2002).

·      
ECFMG certificate # 0-540-023-9 issued on December 16^{th ,}1997
(Valid indefinitely).

·      
Training course in Acupuncture & moxibustion at Cairo University
(Cairo,Egypt) from September 19 –
October 29 , 1998.

·      
Clinical Scientist Training Program 
at University of Miami (Funded by an NIH K30 Clinical Research
Curriculum Award) from 2002-2004.

·      
Diplomate of the American Board of Anesthesiology certified on
September 2005 with participation in the (MOCA) program.

·      
Examination of Special Competence in Perioperative Transesophageal
Echocardiography (PTEeXAM)  on May 2006.

·      
Diplomate of American board of echocardiography certified on February
2007.

·      
Medical Council of Canada Qualifying Exam part 1 on November 2006.

·      
The Royal College of the physician and surgeon of Canada certification
of speciality of Anesthesia on May 31st 2008.

·      
Fellowship of The Royal College of the physician and surgeon of Canada
in Anesthesia on July 16th 2008.

·      
Doctoral degree of Anesthesiology on November 2008 accepted on January
27th 2009 from Alexandria university (Alexandria, Egypt).

·      
Diplomate of the American Board of Pain Medicine on April 2013.

·      
Pediatric Anesthesiology Certification on October 2013.

Honors and Awards:

·      
Award of Appreciation to the ideal student, El Esteklal Secondary
School 2/18/1985.

·  Award of AbdelMohsen Solaiman in Ophthalmology in the 4^th year of medical
school (Highest score in Ophthalmology).

·      
Member in The Egyptian Society of Anesthesiologists (ESA).

·  Member in Alexandria Society of Anesthesia and Intensive Care (ASAIC).

·  Member in The Egyptian Society for Management of Pain (ESMP).

·      
Member in International Association of the Study of Pain (IASP).

·      
Reviewer, Journal of Patient Safety since 2010.

·      
Reviewer, Saudi medical Journal since 2013.

·      
Reviewer, Journal of Palliative medicine since 2013.

·      
Founder of Academy of brain and Skull 2014.

Professional practice:

·      
Rotating internship from March 1st 1994 till February 28th , 1995 in Alexandria University Hospitals

·      
Attached to the Egyptian Ministry of health as a primary health care physician from May 2nd till September 17th 1995.

·      
Resident of anesthesiology & surgical intensive care in Alexandria university hospitals from September 17th 1995 till September 16th 1998.

·      
Resident in Anesthesiology department at university of Miami/Jackson Memorial hospital Miami, FL in USA from July 1st 2000 till June 30th 2004.

·      
Mini fellowship in Cardiothoracic anesthesia during CA3 of anesthesiology residency.

·      
Mini fellowship in liver transplant anesthesia during CA3 of anesthesiology residency.

·      
Pediatric anesthesiology fellow in St. Jude Children’s Research Hospital Memphis, TN in USA from July 12th, 2004 till July 8th, 2005.

·      
Part time attending anesthesiologist in the cardiovascular institute of Mississippi McComb, MS in USA from November 1^st 2005 till January 2006.

·      
Cardiac anesthesiology fellow in Western Ontario University London, ON in Canada from January 9^th 2006 till January 8^th 2007.

·      
Attending anesthesiologist and assistant lecturer in the department of anesthesiology & surgical intensive care, Alexandria Faculty of Medicine from February 1999 till February 24th 2009.

·      
Attending anesthesiologist and lecturer in the department of anesthesiology & surgical intensive care, Alexandria Faculty of Medicine from February 24th 2009 till now.

·      
Attending Anesthesiologist Central Anesthesia Group Altoona, PA from June 28^th 2010 till January 14^th 2011.

·      
CEO of Tennessee Nopain, LLC. Knoxville, TN from Feb 1^st
2012 till July 2012.

·      
CEO of Alabama Nopain, LLC. Montgomery, AL from June 14^th 2012
till May 2015.

·      
Chairman of Nopain Associates group Mccomb, MS from November 15th 2010
till now.

·      
Adjunct Clinical Professor, William Carey University College of
Osteopathic Medicine, MS (USA) from November 15th 2014 till now.

Recent Anesthesiology Locum Assignment:

·      
Bay medical center, Panama city, Florida. (Feb. 2020)

·      
Gilmore medical center, Amory, Mississippi. (June 15^th 2020-
Dec. 31st 2020)

·      
Bell hospital (UP Health system.), Ishpeming, Michigan. (Oct. 19^th
2020- April 16^th 2021.)

·      
Winter Haven hospital (ANESTHESIA ASSOCIATES), Winter Haven, Florida.
(May 28^th 2021-March 20^th 2022.)

·      
Munson Healthcare Grayling Hospital (Somnia Anesthesia.) Grayling,
Michigan. (June 20^th – 27^th 2021.)

·      
Anderson Regional Medical center (Lifelinc.), Meridian, Mississippi.
(July 15^th– Aug. 2^nd 2021.)

·      
Regional West Medical center (North Star anesthesia.) Scottsbluff,
Nebraska. (April 21^st-Dec. 14^th 2022) 

Researches/Publications:

·      
Research study in regional analgesia (The efficacy of paracervical
block in hysteroscopy) was approved by Alexandria Faculty of Medicine on June
24^th 1997 as part of the requirements to obtain the master degree in
anesthesiology.

·      
Presentation of the research (the efficacy of paracervical block in
hysteroscopy) at the World Congress Of Anesthesia 2000 (Montreal, Canada).

·      
Ahmad-Sabry M, Mosalam A. Hijama: Using of cupping in islamic
alternative medicine. Abstract in the World Congress Of Anesthesia 2004 CD of
abstracts

·      
Research study in regional analgesia (Intraoperative and postoperative
effects of the continuous thoracic paravertebral block when used with
conventional general anesthesia for off-pump CABG surgery) was approved by
Alexandria Faculty of Medicine on December 1^st 2007 as part of the
requirements to obtain the doctor degree in anesthesiology.

·      
Ahmad-Sabry M, Bainbridge D, Martin J, Craig A, Iglesias I. Does
Routine Use of An NG tube Improve Transesophageal Echocardiographic Imaging During
Cardiac Surgery? A randomized trial. Abstract presentation in the American
Society of Anesthesiologists refresher course October 2009.

·      
Bainbridge D, Martin J, Ahmad Sabry M, Craig A, Iglesias I. Does
Routine Use of An NG tube Improve Transesophageal Echocardiographic Imaging
During Cardiac Surgery? A randomized trial. Can J Anaeth. 2010
Mar;57(3):216-21.

·      
Ahmad-Sabry M, Shareghi G. Long-Term Use of Intrathecal Droperidol As
An Excellent Antiemetic In Nonmalignant Pain- A Retrospective Study. M E J
Anesth 21(6) Oct. 2012: 857-962.

·      
Mohammad Ahmad-Sabry MD, FRCPC, Akram Allam MD , Aly AbdElMohsen MD. Should The Ductus Arteriosus
Be Closed When Performing Blalock-Taussig Shunt?A Retrospective Study. Journal
of The Egyptian Society of Cardio-Thoracic Surgery 2013,21(2)9-14.

·      
Ahmad-Sabry M. Echocardiography Machine
Malfunction; A model for prevention of human error. Br. J. Anaeth. Published 20
May 2013 out of the blue E-letters.

·      
Ahmad-Sabry M, Shareghi G. Effects of memantine
on pain in patients with complex regional pain syndrome-A retrospective study. Abstract
presentation in the 8^th Congress of European Federation of IASP
Chapter (EFIC) October 9^th-12^th 2013 Florence, Italy.

·      
Ahmad-Sabry M, Shareghi G. Sacroiliac joint denervation. The joint
& ligaments-A retrospective study and algorithm. Abstract presentation in
the 8^th Congress of European Federation of IASP Chapter (EFIC) October
9^th-12^th 2013 Florence, Italy.

·      
Abdelhalim AA, Mohamed EA, ElSheikh ML, Abdelhamid SA, Ahmad-Sabry M,
Osman E. Effect of low dose cisatracurium versus rocuronium added to local
anesthetics on akinesia in peribulbar block for cataract surgery. DJO 15(2)
Oct.2014, 119-125.

·      
Ahmad-Sabry
M, Shareghi G. Effects of memantine on pain in patients
with complex regional pain syndrome-A retrospective study M.E.J. ANESTH 23(1)
Feb 2015:51-54.

·      
Ahmad-Sabry
MH. Disease model: a simplified approach
for analysis and management of human error: a quality improvement study.
Medicine 2015 Apr; 94(15):e711.

·      
Ahmad Sabry M., Aly M., Elgamal N., Ammar R., Comparative Study Between
Addition Of Dexmedetomidine Or Fentanyl To Bupivacaine In Ultrasound Guided
Continuous Paravertebral Block In Unilateral Renal Surgery. Alexandria medical
journal April 2016.

·      
Ahmad Sabry M., Aly M., Elgamal N., Ammar R., Comparative Study Between
Addition Of Dexmedetomidine Or Fentanyl To Bupivacaine In Ultrasound Guided Continuous
Paravertebral Block In Unilateral Renal Surgery. Poster presentation WCA 2016
Hong Kong, China August 28th-Sept.2^nd and Anesthesia Analgesia Suppl
Aug. 2016.

·      
Aboghanima M., Ahmad Sabry M., Sabry A. Sedation with intrathecal
clonidine versus Fentanyl with Bupivacaine in elective cesarean section in a
sample of Egyptian parturient. Poster presentation WCA 2016 Hong Kong, China
August 28th-Sept.2^nd and Anesthesia Analgesia Suppl Aug. 2016.

·      
Ahmad Sabry M. Aboughazy A. The use of USB endoscope (Borescope) to
guide nasal intubation – A pilot study. Poster presentation WCA 2016 Hong Kong,
China August 28^th -Sept.2^nd 2016 and Anesthesia Analgesia
Suppl Aug. 2016.

·      
Ahmad Sabry M., Aboughazy A. The use of USB endoscope (Borescope) to
guide oral intubation – A pilot study. Poster presentation WCA 2016 Hong Kong,
China August 28th -Sept.2nd 2016.

·      
Ahmad Sabry M., Desoky A. Pain scoring; What is new in 21st century? Poster
presentation World congress of pain 2016 Yokohama, Japan Sept 26^th –
30^th 2016.

·      
Ahmad Sabry M., Aboghanima M., Sabry A. Sedation with intrathecal
clonidine versus Fentanyl with Bupivacaine in elective cesarean section in a
sample of Egyptian parturient. Research and Opinion in Anesthesia
&Intensive Care (October-December) 2017, 4:235–238.

·      
Ahmad-Sabry M, Shareghi G. Sacroiliac joint denervation. The joint
& ligaments-A retrospective study and algorithm.
Research and opinion in Anesthesia and
Intensive Care journal (April-June)2018, 5;2:80-97.

·      
Ahmad Sabry MH, Ammar R, Bakr R. The effect of local wound infiltration
versus caudal block on wound infection and healing after inguinal herniotomy in
paediatrics-A double blinded randomized study. E-Poster, Pain in Europe XI –
the 11th Congress of the European Pain Federation EFIC Sept. 4-7th 2019
Valencia, Spain.

·      
Ahmad Sabry MH, Ammar A, Ehab S. The efficacy of Nalbuphine versus
Fentanyl as additives to Bupivacaine in spinal anaesthesia for internal
fixation of the tibia-A double blinded study. Poster presentation, Pain in Europe XI – the 11th Congress of the
European Pain Federation EFIC Sept. 4-7th 2019 Valencia, Spain.

·      
Ahmad Sabry MH, Ammar A, Hieba A. The analgesic efficacy of ultrasound
guided continuous quadratus luborum block versus continuous paravertebral
bloack in radical cystectomy- A randomized 
study. Poster presentation, Pain
in Europe XI – the 11th Congress of the European Pain Federation EFIC Sept.
4-7th 2019 Valencia, Spain.

·      
Ahmad Sabry M. Aboughazy A. The use of USB endoscope (Borescope) to
guide nasal intubation – A pilot study. Research
and opinion in Anesthesia and Intensive Care journal (January-March)2020,
7;1:65-69.

·      
Ahmad Sabry M., Elhelw N., Elgamal N., Ammar R., Comparison of the use
of nebulized dexmedetomidine, ketamine, and a mixture thereof as premedication
in pediatric patients undergoing tonsillectomy: a double-blind randomized study
Research and opinion in Anesthesia and Intensive
Care journal (January-March)2020, 7;1:70-74.

·      
Ahmad Sabry MH, Ammar R, Bakr R. The effect of local wound infiltration
versus caudal block on wound infection and healing after inguinal herniotomy in
paediatrics-A double blinded randomized study. Research and opinion in Anesthesia and Intensive Care journal
(April-June)2020, 7;2:205-210.

·      
Ahmad Sabry, MH. Emara, A. Sarhan, T. Fikry, D.  QL Ultrasound
guided caudal block versus quadratus lumborum block for inguinal hernioraphy in
preschool children. Poster presentation WCA 1^st-5^th Sept.
2021 Prague, Czech Republic and Anesthesia Analgesia Suppl Sept. 2021. (Pending
full publication.)

·      
Ahmad Sabry, MH. Ali, A. Sarhan, T. Fikry, D.  Opioid free versus opioid balanced anesthesia
in middle ear surgery. Poster presentation WCA 1st-5th Sept. 2021 Prague, Czech
Republic and Anesthesia Analgesia Suppl Sept. 2021. (Pending full publication.)

·      
Ahmad Sabry, MH. Did ancient Egyptian discover local anesthetics? Anesthesiology
January 2023, Vol. 138, 98–99. 

Studies waiting for publication:

·      
Patient
Preference Regarding the Different Modalities for Pain Management medications.

·      
Dry Neuroanaethesia.

·      
CYP2D6
effect on opioid dosage in chronic pain patient.

Lectures and Presentations:

·      
Represent the department of Anesthesiology/the University of Miami in
The Florida Society of Anesthesiologists 2002 annual conference (June 21-23,
2002) win the residents’ jeopardy competition as the best anesthesiology
program in Florida.

·      
Regional Anesthesia in Cardiac Surgery. University Of Miami, Resident
Presentation 13/4/2004.

·      
Continuous Thoracic Paravertebral Block In CABG Surgery. University of
Western Ontario Fellows Research Day 22/4/2006.

·      
Human errors and patient safety: A simplified
approach. University of Western Ontario Anesthesia Depatment Morning rounds
12/7/2006.

·      
Human errors and patient safety: A simplified
approach. Invited speaker by Alexandria
Society of Anesthesia and Intensive care in the 11th Alexandria Anesthesia and
intensive care conference at Sept 5th 2007.

·      
Prolotherapy; how cheap we are. Pain clinic cases presentation.
Scientific day of Alexandria faculty of Medicine pain clinic at April 23rd
2008.

·      
Human errors and patient safety: A simplified
approach. Invited speaker by Alexandria
Society of Anesthesia and Intensive care in the 12^th Alexandria
Anesthesia and intensive care conference at Nov. 5^th 2008.

·      
Prolotherapy; how cheap we are. Invited speaker by Alexandria Society
of Anesthesia and Intensive care in the 12th Alexandria Anesthesia and
intensive care conference at Nov. 6^th 2008.

·      
Human errors and patient safety: A simplified
approach. Session chairman and Invited
speaker by Kenya Society of Anesthesiologists in the 4^th All Africa
Anesthesia Congress at Sept. 12^th-16^th 2009 Nairobi,
Kenya.

·      
Human errors and patient safety: A simplified
approach. Invited speaker by Alexandria
Society of Anesthesia and Intensive care in the 17th Alexandria Anesthesia and
intensive care conference at Oct. 1^st-3^rd 2013.

·      
Sacroiliac joint Denervation. The joint & ligaments-A retrospective
study and algorithm. Invited speaker by Alexandria Society of Anesthesia and
Intensive care in the 17th Alexandria Anesthesia and intensive care conference
at Oct. 1^st-3^rd 2013.

·      
Prolotherapy; how cheap we are. Invited speaker by Alexandria Society
of Anesthesia and Intensive care in the 18th Alexandria Anesthesia and
intensive care conference at Sept. 24^th 2014.

·      
Disease Model; Simplified approach for analysis and management of human
error. Invited speaker by Alexandria Society of Anesthesia and Intensive care
in the 19th Alexandria Anesthesia and intensive care conference at Oct. 13-15th
2015.

·      
Pain scoring; what is new in the 21^st century? Invited speaker by Alexandria Society of Anesthesia
and Intensive care in the 19th Alexandria Anesthesia and intensive care
conference at Oct. 13-15th 2015.

·      
Pain scoring; What is new in 21st century? Invited speaker by Alexandria Society of Anesthesia
and Intensive care in the 20th Alexandria Anesthesia and intensive care
conference at Oct. 11-13th 2016.

·      
USB Borescope, A Cheap Option for Videolaryngoscopy. Invited speaker by
Alexandria Society of Anesthesia and Intensive care in the 20th Alexandria
Anesthesia and intensive care conference at Oct. 11-13th 2016.

·      
CDC Guidelines for Opioid Therapy. Invited speaker by Alexandria
Society for Cancer Patient Care in the 9th annual conference (Targeted and Immunotherapy)
May 3-5th 2017.

·      
New Guidelines in Opioid Therapy. Invited speaker by Alexandria Society
of Anesthesia and Intensive care in the 21th Alexandria Anesthesia and intensive
care conference at Oct. 3-5th 2017.

·      
Disease Model; Simplified approach for analysis and management of human
error. Invited speaker by Alexandria Society of Anesthesia and Intensive care
in the 21st Alexandria Anesthesia and intensive care conference at Oct. 3-5th
2017.

·      
Pain scoring; What is new in 21st century? Invited speaker by
Alexandria Society of Anesthesia and Intensive care in the 23th Alexandria
Anesthesia and intensive care conference at Sept. 24-26th 2019.

·      
Disease Model; Simplified approach for analysis and management of human
error. Invited speaker by Alexandria Society of Anesthesia and Intensive care
in the 24^th Alexandria Anesthesia and intensive care conference at Sept.
22^nd-23^rd 2021.

License/Registration:

·      
Registered at the Egyptian Medical Syndicate on March 1995.

·      
Licensed to practice Medicine in Egypt in March 1995 till now (Active).

·      
Full license in the state of Michigan from March 16^th 2004
till March 16th 2023 (# 4301083215).

·      
 Full license in the state of
Tennessee from March 2005 till December 31^st 2023 (# 39484).

·      
Full license in the state of Mississippi from October 31^st 2005
till June 30^th 2023 (# 19115).

·      
Full license in the state of Florida from December 2005 till January
31st 2024 (#ME 94963).

·      
Full license in the state of Pennsylvania from April 2010 till December
31st 2022 (#MD 439902).

·      
Full license in the state of Alabama from Jan 1^st 2013 till
Dec 31^st 2023 (#MD 32057).

·      
Full license in the state of Nebraska from February 2^nd 2022
till Oct 1^st 2024. (#34317).

·      
Full license in the state of Rhode
Island from December 1st 2022 till June 30th 2024. (#MD 18941).

DEA Number:

·      
FA/XA1946409 Exp; 06/30/2025 (Mississippi)

·      
FA9115735 Exp; 06/30/2023 (Florida)

·      
FA1290193 Exp; 06/30/2025 (Nebraska)

Certification:

·      
BLS expiration date 2/1/2024.

·      
ACLS expiration date 2/4/2024.

·      
PALS expiratory date 2/6/2024.

Expired Licenses:

·      
Registration for the college of physician and surgeon in Ontario for
educational license from January 2006 till December 2006.

Extracurricular activities:

·      
Participation in experimental surgery through giving anesthesia to
experimental animals for researches at the Anatomy & Genetics department,
Alexandria Faculty of medicine (Alexandria, Egypt) 1999.

Social work experience:

·      
Volunteer for medical care of Happy childhood home (Medical care of
homeless children) at Allaban, (Alexandria, Egypt) June & July 1995.

·      
Volunteer of the health campaigns at February 2000 (Matrouh,Egypt).

Mr. Abdelrahman Shahda is a highly skilled and motivated software developer with a Bachelor’s degree in Computer Engineering from Cairo University. With a GPA of 3.94/4.0, he has demonstrated exceptional academic performance and a strong foundation in computer engineering principles. Abdelrahman possesses a diverse range of technical skills, including proficiency in Java, Python, PHP, C++, SQL (Postgres), JavaScript, TypeScript, HTML/CSS, and Perl. He is experienced in working with frameworks such as React, Node.js, Flask, Material-UI, Selenium, Laravel, and QT. Additionally, he is well-versed in utilizing developer tools like Git, AWS, MongoDB, VS Code, Visual Studio, IntelliJ, and Eclipse.

At Siemens EDA, Abdelrahman is involved in designing a new language for digital design verification based on Language Reference Manual (LRM) specifications. He utilizes C++11 code and antlr tools for language compilation and extends language features. Additionally, Abdelrahman contributes to building the debug tool for the new language.
As a freelancer software developer, Abdelrahman was responsible backend architecture and scrum meetings couple of projects. He also played a crucial role in deploying other projects as well.

Mr. Omar Shawky is a Fresh Self-taught Software Engineer. He has a Communications and Electronics Bachelor from The British University in Egypt. He is also a professional Academic Writer and Proofreader. What makes him unique? He is self-motivated & dedicated, self-guided. He is good at critical & analytical thinking; He has the ability to turn complex thoughts into simple ones. He has the ability to listen, learn, re-calibrate, and apply as fast as possible. He can be independent or a team member or even lead a team. He can coach older & younger people despite their experience levels. He has grit/persistence and doesn’t believe in failure. He is good at articulation.

TBA