Tag: Deep Learning

Assist Prof Dr. Mahmoud Emam | Image Generation | Best Researcher Award

Published on by WSA Awards

Assist Prof Dr. Mahmoud Emam : Leading Researcher in Image Generation

Hangzhou Dianzi University  at Image Generation, School of Computer Science and Technology, China

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Mahmoud Emam is an Assistant Professor with a strong background in Computer Science and Technology. He earned his Ph.D. from the Research Institute of Information Countermeasure Techniques at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China, where he conducted research in his field. Prior to his doctoral studies, Dr. Emam completed his M.Sc. in Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he laid the foundation for his academic journey. He also underwent pre-courses for M.Sc. in Computer Science at the same institution. Dr. Emam’s academic journey began with a B.Sc. in Pure Mathematics and Computer Science from the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he developed a strong foundation in his field. His academic pursuits and research contributions reflect his dedication to advancing knowledge in Computer Science and Technology.

Research Interests:

Dr. Mahmoud Emam‘s research interests are centered around several key themes in computer science, including Digital Image Processing, Multimedia Security, Pattern Recognition, and Computer Vision. His expertise extends to the specialized area of Digital Image and Video Forensics, where he applies his knowledge to analyze and enhance the security of digital media. Dr. Emam’s work in these fields demonstrates his commitment to advancing the understanding and application of computer science principles, particularly in the context of digital media and information security.

Experience:

Dr. Mahmoud Emam has a diverse professional background spanning both teaching and research roles. His career began in 2007 when he served as a Teaching Assistant in computer science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he contributed to the education and development of students in the field of computer science. In 2013, he transitioned into a research-focused role as a Research Associate (Ph.D. Candidate) at the Research Institute of Information Countermeasure Techniques, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China. During this time, he was actively engaged in research activities related to his doctoral studies. Following the completion of his Ph.D., Dr. Emam assumed the role of Assistant Professor of Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he continued to contribute to both teaching and research. His dedication to academia and research led to his appointment as an Assistant Professor at the Machine Intelligence Department, Faculty of Artificial Intelligence, Menoufia University, Egypt, starting in January 2022. In November 2022, he took on the position of a Postdoctoral Research Fellow at the Shangyu Institute of Science and Engineering Co., Ltd., Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China, where he is involved in advanced research endeavors. Throughout his career, Dr. Emam has demonstrated a strong commitment to both academic instruction and cutting-edge research, positioning himself as a valuable contributor to the fields of computer science, artificial intelligence, and machine intelligence.

Publication:

Fabric defect detection based on saliency map and keypoints

Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features

Anti-pruning multi-watermarking for ownership proof of steganographic autoencoders

Fast Frequency Domain Screen-Shooting Watermarking Algorithm Based on ORB Feature Points

Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review

A Novel Hybridoma Cell Segmentation Method Based on Multi-Scale Feature Fusion and Dual Attention Network

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing

Semi-Supervised Remote Sensing Image Semantic Segmentation Method Based on Deep Learning

Dr. Sita Rani | Machine Learning | Women Researcher Award

Published on by WSA Awards

Dr. Sita Rani : Leading Researcher in Machine Learning

Assistant Professor at Machine Learning, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Sita Rani has a distinguished academic background, including a Ph.D. in Computer Science and Engineering (CSE) from Inder Kumar Gujral Punjab Technical University (IKG PTU), Kapurthala, India, where she focused on the performance characterization of parallel computation in bioinformatics applications. She also holds a Master’s degree in CSE from GNDEC, Ludhiana, where she achieved a remarkable 73.68%, securing the 2nd position in her class. Dr. Rani’s academic journey began with a Bachelor’s degree in CSE from the same institution, where she secured a 73.2%, again achieving the 2nd position in her class. She also holds a Diploma in CSE from GPW, Ludhiana, where she graduated with honors and a notable 75.2% with a first division. Her academic excellence extends to her high school education, where she graduated from Govt. Sen. Sec. School., Lambra (Hoshiarpur) with a remarkable 78.8%, earning a first division with distinction. Additionally, Dr. Rani has recently completed a Post Graduate Certification Program in Data Science and Machine Learning from IIT, Roorkee, with distinction, further enhancing her expertise in the field.

Professional Experience:

Dr. Sita Rani completed her Postdoctoral research at the Big Data and Machine Learning Lab at South Ural State University (National Research University) in Chelyabinsk, Russian Federation. Her research was conducted under the project titled “Federated Learning for IoMT Applications” during the period from May 2022 to August 2023. This project likely involved exploring the applications of Federated Learning, a machine learning technique, in the context of the Internet of Medical Things (IoMT), which focuses on the use of interconnected medical devices and systems for healthcare applications.

Sita Rani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1338, Since 2018: 1325
  • Citations: 1338 (All), 1325 (Since 2018)
  • h-index: 21 (All), 20 (Since 2018)
  • i10-index: 39 (All), 39 (Since 2018)

These metrics showcase the impact of Rani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Conferences:

Dr. Sita Rani actively participated in several international conferences, contributing to the field of data science and smart systems. She served as the Sessions Chair for the special session on “Data Mining and Software Engineering” at the 1st International Conference on “Applied Data Science and Smart Systems (ADSSS)” held at Chitkara University, Punjab, INDIA on 4th -5th November, 2022. Additionally, she chaired the special session on “Data Science and Data Analytics” at the “International Conference on Innovations in Data Analytics (ICIDA-2022)” organized by the “International Knowledge Research Foundation” in collaboration with Eminent College of Management and Technology (ECMT), West Bengal, India on 29-30 November, 2022. Dr. Rani also contributed as a member of the Technical Program Committee during the “International Conference on Innovations in Data Analytics (ICIDA-2022).” Furthermore, she chaired the special session on “Networking and Security” at the International Conference on Data Analytics and Management (ICDAM-2022), jointly organized by The Karkonosze University of Applied Science, Poland, in association with the University of Craiova Romania, Warsaw University of Life Sciences Poland, and Tun Hussein Onn University Malaysia, on 25th – 26th June, 2022. These engagements reflect her active involvement in the academic community and her commitment to advancing research in her field.

Research Interest:

Parallel and high-performance computing, Internet of Things (IoT), machine learning, blockchain, and healthcare are among Dr. Sita Rani’s areas of expertise and interest. Her work likely involves leveraging these technologies to advance various aspects of healthcare, such as data analysis, system optimization, and security within the context of healthcare systems and IoT devices. Dr. Rani’s focus reflects a multidisciplinary approach, integrating cutting-edge technologies to address complex challenges in healthcare and related fields.

Memberships:

Dr. Sita Rani holds memberships in several prestigious professional organizations:

  1. IEEE Membership (Yearly up to December 2023) with Membership Number: 97635456.
  2. IAEngg Membership (Lifetime) with Membership Number: 273196.
  3. ISTE Membership (Lifetime) with LM-131713.
  4. Women’s Indian Chamber of Commerce and Industry (WICCI) – Chandigarh SME & MSME Council – Vice-President.

Awards:

Dr. Sita Rani is an esteemed member of several renowned professional organizations. She holds an IEEE Membership, which is valid yearly until December 2023, with the membership number 97635456. Additionally, she is a lifetime member of the IAEngg with the membership number 273196 and the ISTE with LM-131713. Dr. Rani also holds a significant position as the Vice-President of the Women’s Indian Chamber of Commerce and Industry (WICCI) – Chandigarh SME & MSME Council, showcasing her active involvement in professional and leadership roles within her field.

Publications:

IoT equipped intelligent distributed framework for smart healthcare systems

  • Published in Energy in 2023 with 117 citations.

Cloud and fog computing platforms for internet of things

  • Published in Energy in 2022 with 113 citations.

AI-Centric Smart City Ecosystems: Technologies, Design and Implementation

  • Published in Energy in 2022 with 75 citations.

Amalgamation of advanced technologies for sustainable development of smart city environment: A review

  • Published in Energy in 2021 with 67 citations.

Threats and corrective measures for IoT security with observance of cybercrime: A survey

  • Published in Energy in 2021 with 66 citations.

Exploring the application sphere of the internet of things in industry 4.0: a review, bibliometric and content analysis

  • Published in Energy in 2022 with 57 citations.

Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse

  • Published in Energy in 2023 with 53 citations.

Fog computing in industry 4.0: Applications and challenges—A research roadmap

  • Published in Energy in 2022 with 50 citations.

 

 

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

Published on by WSA Awards

Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.