Mr. Shoumik Saha | Network Security and Privacy | Best Researcher Award

Mr. Shoumik Saha, University of Maryland, United States

🎓 Mr. Shoumik Saha is a Ph.D. candidate in Computer Science and Engineering at the University of Maryland, boasting an impressive academic journey marked by a stellar CGPA of 3.74/4.0. Under the guidance of Dr. Soheil Feizi, he commenced his doctoral studies in August 2022 after earning a BSc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) with a CGPA of 3.66/4.0. Shoumik’s educational prowess began at Notre Dame College, where he achieved a perfect GPA of 5.00/5.00 for his Higher Secondary Certificate. 🌐 Currently a dedicated Graduate Research Assistant at the University of Maryland, he showcases a diverse background with roles at the Maryland Cybersecurity Center, lecturing at United International University, and contributing to research at BUET. 🏫 Mr. Saha stands as a beacon of academic excellence, honored with accolades like the ‘Dean’s Fellowship’ and recognition from the ICT division of the Bangladesh government’s ‘Innovation Fund.’ His portfolio spans impactful projects, including web development, software engineering, and hardware innovation, reflecting his versatile and dynamic approach to academia. 🔍🔧💻

🎓 Education :

Mr. Shoumik Saha is currently pursuing his Ph.D. in Computer Science and Engineering at the University of Maryland, demonstrating an impressive academic journey. With a stellar CGPA of 3.74/4.0, he commenced his doctoral studies in August 2022 under the guidance of Dr. Soheil Feizi. Prior to this, Shoumik earned his BSc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in February 2021, showcasing academic excellence with a CGPA of 3.66/4.0 and an advanced GPA of 3.79/4.0. During his undergraduate years, Dr. Atif Hasan Rahman supervised his thesis work. Shoumik’s educational journey began at Notre Dame College, where he achieved a perfect GPA of 5.00/5.00 for his Higher Secondary Certificate from July 2013 to June 2015. 🎓💻🌟

🌐 Professional Profiles :

Google Scholar

👨‍🏫 Experience :

Mr. Shoumik Saha is a dedicated Graduate Research Assistant at the University of Maryland, currently pursuing his academic journey in the Department of Computer Science under the guidance of Dr. Soheil Feizi. His commitment to research extends back to his tenure at the Maryland Cybersecurity Center, where he served as a Full-Time Graduate Research Assistant under the supervision of Dr. Tudor Dumitras from August 2022 to December 2023. Prior to his ventures in the United States, Mr. Saha contributed as a Lecturer at the Department of Computer Science and Engineering at United International University, showcasing his passion for education. Additionally, he gained valuable experience as a Part-Time Research Assistant at the Data Science and Engineering Research Lab of Bangladesh University of Engineering and Technology (BUET). Mr. Shoumik Saha’s diverse roles and engagements reflect his multifaceted journey in academia, blending research, teaching, and practical applications in the realm of computer science. 🌐🎓🔍

🏆 Achievements :

Mr. Shoumik Saha stands as a beacon of academic excellence, adorned with a plethora of well-deserved accolades. His journey at the University of Maryland has been marked by the prestigious ‘Dean’s Fellowship,’ a testament to his exceptional contributions to the realm of academia and research. Notably, his innovative research pursuits were recognized and supported by the ‘Innovation Fund’ from the ICT division of the Bangladesh government, showcasing his impactful presence in the technological landscape.

During his tenure at Bangladesh University of Engineering and Technology (BUET), Mr. Saha consistently demonstrated scholarly brilliance, earning ‘Merit Stipends’ in an impressive five out of seven terms. His commitment to excellence was further underscored by the ‘Dean’s Award’ in his junior year, celebrating his extraordinary academic achievements.

Even in his early academic journey, Mr. Shoumik Saha’s talents were acknowledged with the ‘Talent-Pool Scholarship’ during high school, foreshadowing the remarkable trajectory of success he continues to follow. These accolades, each symbolizing a chapter of his dedication and proficiency, paint a vivid picture of Mr. Saha’s journey, marked by academic brilliance and a passion for innovation. 🏅🎓🔍

🔍 Selected Academic Projects:

Mr. Shoumik Saha has showcased his diverse skill set through a range of selected academic projects, each demonstrating proficiency in various tools and technologies. Notable among them is his Website Development project for a Flight and Hotel Room Reservation System, skillfully crafted using Django and SQLite. In the realm of sports, he has contributed to Software Development for Football Club Management, employing Java, JavaFX, and Oracle Database. Pushing the boundaries of innovation, Mr. Saha has also delved into the realm of hardware with a Micro-controller Project focused on Real-time Detection of Car Theft, featuring Arduino, GPS, GSM module, Sonar, and LDR sensor. 🌐✈️⚽🔧🚗 His portfolio showcases a well-rounded proficiency in both web development and hardware projects, reflecting a versatile and dynamic approach to academic endeavors.

🧠Research Interests 🔬🌐 :

Mr. Shoumik Saha’s research interests encapsulate the cutting-edge domains of Computer Security, Machine Learning, Malware, Adversarial Robustness, Network Security, and Privacy, with a specialized focus on Malware Detection. 🖥️🔒🤖 His passion for understanding and fortifying digital landscapes underscores a commitment to staying at the forefront of cybersecurity challenges, making him a dedicated explorer in the realms of technology and safeguarding digital ecosystems.

Publications Top Notes  :

1.  Adversarial Robustness of Learning-based Static Malware Classifiers

Publication: arXiv:2303.13372

Year: 2023

Journal: arXiv preprint

Cited By: 2

2.  MAlign: Explainable static raw-byte based malware family classification using sequence alignment

Publication: Computers & Security, 103714

Year: 2024

3.  MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment

Publication: arXiv:2111.14185

Year: 2023

Journal: arXiv preprint

4.  Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal

Publication: arXiv:2308.02433

Year: 2023

Journal: arXiv preprint

 

 

 

 

 

Mr. Emmanuel Song Shombot | Network Security and Privacy | Best Researcher Award

Mr. Emmanuel Song Shombot, IMT Mines Ales, France

🌟  Mr. Emmanuel Song Shombot, a distinguished scholar currently pursuing a Ph.D. at IMT Mines Ales in France, specializes in predicting and evaluating cyberattack databases using AI tools in healthcare. With an MSc. in Information Security and Digital Forensics from the University of East London, where he graduated with Distinction in 2017, and a First Class BSc. in Software Engineering in 2012, Shombot boasts a rich educational background. As a Lecturer II in Computer Science at Federal University Lafia, Nigeria, since 2020, he imparts knowledge in diverse areas, earning recognition as the “Best Staff of the Year” in 2019/2020. Shombot’s academic journey is adorned with prestigious awards like the 2021 Petroleum Technology Development Fund (PTDF) and the 2015 Tertiary Education Trust Fund (TETFUND). His multifaceted skill set includes proficiency in digital forensics tools, data manipulation with Pandas and Python, and expertise in Microsoft Excel. Shombot’s dedication to education, recognized achievements, and technical prowess position him as a dynamic force in the fields of technology and cybersecurity 🎓🔒🏆.

🎓 Education :

Mr. Emmanuel Song Shombot is a distinguished scholar currently pursuing his Ph.D. at IMT Mines Ales in France, focusing on the prediction and evaluation of cyberattack databases using AI tools in healthcare. His academic journey includes an impressive MSc. in Information Security and Digital Forensics from the University of East London, where he graduated with Distinction in 2017. Driven by a passion for software engineering, he earned his First Class BSc. in Software Engineering from the same institution in 2012. With a wealth of knowledge and expertise in the field, Dr. Shombot is poised to make significant contributions to the intersection of artificial intelligence and cybersecurity, safeguarding the digital landscape with his skills 🎓🔒.

🌐 Professional Profiles :

Google Scholar

👨‍🏫 Work Experience :

Emmanuel Song Shombot brings a wealth of knowledge and dedication to his role as a Lecturer II in Computer Science at Federal University Lafia, Nigeria, since 2020. As an educator, he imparts his expertise to both postgraduate and undergraduate students, covering a diverse range of courses such as Software Engineering, Database Design and Management, Introduction to Computer Science, Systems Analysis and Design, IT Project Management, Legal and Ethical Issues in Computing, Computer Security, Human-Computer Interaction, Operating Systems, and Web Application Development. His commitment goes beyond the classroom, as he meticulously prepares lectures, conducts exams, leads practical classes, and guides final year projects. Notably, Shombot’s outstanding contributions were recognized when he was awarded the prestigious title of “Best Staff of the Year,” a testament to the positive impact he has had on the academic journey of his students 🎓👨‍🏫🏆

🏆 Awards and Funding :

Mr. Emmanuel Song Shombot has garnered significant recognition and support through prestigious awards and funding in his academic journey. In 2021, he earned the esteemed Petroleum Technology Development Fund (PTDF), a testament to his commitment to excellence and contribution to the field. Additionally, his dedication to education was acknowledged in 2015 with the Tertiary Education Trust Fund (TETFUND). These accolades and financial support underscore Shombot’s outstanding achievements and his impactful role in advancing knowledge and research within his academic pursuits 🏆💰

🏅 Recognition Certificates :

Mr. Emmanuel Song Shombot’s journey is adorned with well-deserved recognition and certificates, affirming his commitment and excellence in various capacities. At the Federal University of Lafia, he earned the esteemed “Best Staff of the Year” award for the academic year 2019/2020, showcasing his impactful contributions to the institution. As a Student Ambassador at the University of East London in 2016/2017, Shombot not only excelled academically but also actively represented and promoted the university. Even during his National Youth Service Corps, he showcased his talents, earning a Certificate of Participation from the Band Club in 2013. These accolades and certificates illuminate Shombot’s multifaceted achievements and his dedication to excellence in every endeavor 🏅🎓🎉.

🔍 Research Technical Skills :

Mr. Emmanuel Song Shombot possesses a robust skill set in both research and technical domains, showcasing his versatility in the ever-evolving landscape of technology. Proficient in digital forensics, he demonstrates effectiveness with tools such as Forensic Tool Kit (FTK), utilizing it for precise digital evidence recovery and analysis. In the realm of data manipulation and visualization, Shombot showcases expertise in Pandas, Matplotlib, and Python, leveraging these powerful tools for insightful data interpretation. Furthermore, his proficiency extends to the use of Microsoft Excel for meticulous data entry and analysis. Shombot’s diverse skill set, ranging from forensic analysis to programming and data visualization, positions him as a dynamic and resourceful professional in the field 🛠️🔍📊.

🧠Research Interests 🔬🌐 :

Mr. Emmanuel Song Shombot is a multifaceted researcher with a broad spectrum of interests spanning Software Engineering, Information Security, Digital Forensics, Cybersecurity, Machine Learning, Network Security, and Privacy. His diverse expertise reflects a comprehensive understanding of the intricate intersections within the realm of technology and security. With a passion for unraveling the complexities of software systems and a commitment to fortifying digital landscapes, Shombot’s research pursuits encompass cutting-edge areas such as machine learning and cybersecurity. His inquisitive mind and dedication to advancing knowledge in these domains make him a dynamic figure in the ever-evolving field of technology 🌐🛡️🤖.

Publications Top Notes  :

1.  An Application for Predicting Phishing Attacks: A case of Implementing a Support Vector Machine Learning Model

Journal: Cyber Security and Applications

Published Year: 2024

Cited By: 100036

2.  Prediction and evaluation of cyberattack databases with AI tools in healthcare sector

Journal: Séminaire IMT «Data Analytics & Artificial Intelligence»

Published Year: 2023

3.  State-of-the-art Analysis of Cyberattack Trends in the Healthcare Sector

Journal: TIEMS 2023-The International Emergency Management Society Hybrid Annual

Published Year: 2023

4.  Cyber Security in Healthcare: Utilizing Artificial Intelligence and Database Technology to Enhance Understanding of Cyberattacks

Journal: Colloque IMT 2023:«Sécurité et Résilience»

Published Year: 2023