NIKOLAOS EPISKOPOS | Computer Science | Best Researcher Award

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Mr. NIKOLAOS EPISKOPOS | Computer Science | Best Researcher Award

👤 Mr. NIKOLAOS EPISKOPOS, IBM, Greece

Nikolaos Episkopos is an accomplished Data Scientist, Software Developer, and Data Science Consultant with over eight years of professional experience. Based in Athens, Greece, Nikolaos specializes in AI, cybersecurity, and predictive medicine, contributing to impactful EU-funded R&D projects and Open Source Software initiatives. His innovative work includes AI solutions for fraud detection, federated learning toolkits for intrusion detection, and optimizing data pipelines. Passionate about the intersection of technological advancements and societal impact, Nikolaos has played pivotal roles in enhancing banking services, securing SCADA systems, and developing blockchain-based video streaming systems. As a professional with a robust academic background and diverse technical skills, he combines creativity and precision to deliver groundbreaking solutions.

Professional Profile

Orcid

🌟 Evaluation of Nikolaos Episkopos for the Research for Best Researcher Award

Summary of Suitability

Nikolaos Episkopos demonstrates an exceptional profile as a data scientist and software developer with significant contributions to research and development projects, particularly in the domains of artificial intelligence (AI), cybersecurity, and healthcare. With over eight years of professional experience, he has effectively bridged academia and industry, showcasing the ability to lead and innovate in complex technological domains. His work has resulted in tangible outcomes, including funding acquisitions, novel AI solutions, and impactful publications.

Nikolaos’s recent achievements at IBM and INLECOM highlight his ability to tackle real-world challenges through data-driven innovation. At IBM, he developed advanced AI models for fraud detection, contributing to financial security solutions. His role at INLECOM involved technical project management and significant contributions to EU Horizon projects, where his efforts secured funding and established strategic partnerships. These accomplishments reflect his leadership, technical expertise, and collaborative skills in advancing scientific research.

🎓 Education 

Nikolaos holds a Master’s degree in Data Science & Information Technologies from the National and Kapodistrian University of Athens, where he honed expertise in AI, data analysis, and cybersecurity. Currently pursuing an MSc in Cybersecurity at the University of West Attica, he is expanding his knowledge of threat modeling and advanced cryptographic techniques. His academic journey reflects a commitment to excellence, as he consistently excelled in designing AI models and deploying secure, scalable systems. Nikolaos’ education equips him to navigate the rapidly evolving landscape of AI and cybersecurity, combining rigorous academic training with practical, hands-on experience to solve complex technical challenges effectively.

💼  Professional Experience

Nikolaos Episkopos has held roles at leading organizations like IBM, INLECOM, and MetaMind Innovations. At IBM, he spearheaded the development of AI solutions for card fraud detection and enhanced banking services. At INLECOM, he managed Horizon projects, securing significant funding and partnerships while optimizing algorithms for AI tools. During his tenure at MetaMind Innovations, he developed Federated Learning toolkits for intrusion detection, authored academic papers, and secured SCADA systems. At Fogus Innovations, Nikolaos implemented blockchain-enabled video streaming optimization and co-authored publications on advanced AI platforms. His ability to lead technical projects, develop AI models, and foster innovation underscores his exceptional contribution to the tech industry.

🏅 Awards and Recognition 

Nikolaos has been recognized for his contributions to EU-funded Horizon projects, which have brought substantial funding and technological advancements to his organizations. He co-authored papers published in prestigious journals like IEEE Transactions on Mobile Computing and Computer Science Review, highlighting his expertise in AI and cybersecurity. Additionally, his innovative solutions in fraud detection and SCADA security have been acknowledged within the tech community. Nikolaos’ commitment to open-source projects on GitHub further demonstrates his dedication to knowledge sharing and continuous improvement. His achievements reflect a career driven by excellence and societal impact.

🌍 Research Skills On Computer Science

Nikolaos excels in designing and deploying AI-driven solutions across domains such as cybersecurity, predictive medicine, and fraud detection. His expertise encompasses Federated Learning, blockchain integration, and data analysis using tools like TensorFlow, PyTorch, and Spark. Skilled in optimizing algorithms and building scalable data pipelines, Nikolaos has delivered solutions that reduce execution time and enhance efficiency. His academic research, coupled with industry application, positions him as a thought leader in leveraging AI for societal impact.

📖 Publication Top Notes

1. A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions
  • Author(s): Ioannis Makris, Aikaterini Karampasi, Panagiotis Radoglou-Grammatikis, Nikolaos Episkopos, Eider Iturbe, Erkuden Rios, Nikos Piperigkos, Aris Lalos, Christos Xenakis, Thomas Lagkas, et al.
  • Citation: Computer Science Review, 2025-05
2. To DASH, or Not to DASH? Optimal Video Bitrate Selection and Edge Network Caching in MEC-Empowered Slice-Enabled Networks
  • Author(s): Dionysis Xenakis, Nikolaos Episkopos
  • Citation: IEEE Transactions on Vehicular Technology, 2024-04
3. PEER-TO-PEER VIDEO CONTENT DELIVERY OPTIMIZATION SERVICE IN A DISTRIBUTED NETWORK
  • Author(s): Nikolaos Episkopos
  • Citation: Dissertation/Thesis, 2022-10-24
4. Cache-Aware Adaptive Video Streaming in 5G networks
  • Author(s): Nikolaos Episkopos
  • Citation: Dissertation/Thesis, 2021-05-04
5. SECONDO: A Platform for Cybersecurity Investments and Cyber Insurance Decisions
  • Author(s): Aristeidis Farao, Sakshyam Panda, Sofia Anna Menesidou, Entso Veliou, Nikolaos Episkopos, George Kalatzantonakis, Farnaz Mohammadi, Nikolaos Georgopoulos, Michael Sirivianos, Nikos Salamanos, et al.
  • Citation: Trust, Privacy and Security in Digital Business (TrustBus), 2020-09-14
6. On-device caching of popular video content on Android-powered devices
  • Author(s): Nikolaos Episkopos
  • Citation: Dissertation/Thesis, 2018-08-14

Tariq Jamil | Machine Learning Award | Best Researcher Award

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Mr. Tariq Jamil | Machine Learning Award | Best Researcher Award

Lead multilingual education at TensorDot Solutions, Pakistan🎓

Mr. Tariq Jamil is an accomplished AI/ML engineer and data scientist with a rich background in both academia and industry. His expertise spans a wide range of AI and machine learning domains, including deep learning, natural language processing, computer vision, and large language models. With a career marked by successful project management, innovative AI applications, and educational contributions, Mr. Jamil has consistently demonstrated his capacity for leadership and technical excellence. His experience as a project leader in various AI challenges and his role in training the next generation of AI professionals highlight his commitment to advancing the field.

Professional Profile 

🎓Education

Mr. Tariq Jamil holds a Post-Graduate Diploma in Data Science with Artificial Intelligence from NED University of Engineering and Technology, Pakistan, completed between December 2021 and June 2023. His coursework included an in-depth study of Python, data visualization, machine learning, deep learning, and computer vision. His capstone project involved the development of a chatbot using deep learning, specifically fine-tuning the Falcon large language model for customer service applications. Prior to this, Mr. Jamil earned a Bachelor of Engineering in Aviation Electronics with a specialization in Aerospace Technology from the same institution, graduating in December 1991. His academic foundation in digital electronics, communications, and quality systems, combined with his later specialization in AI, has provided him with a strong interdisciplinary background, enabling him to excel in both the engineering and data science fields.

💼Work Experience

Mr. Tariq Jamil has amassed a diverse and impactful work experience that spans multiple domains in the fields of AI, machine learning, and data science. Since January 2021, he has been working as a freelance AI/ML Engineer and Data Scientist in Karachi, Pakistan. In this role, Mr. Jamil has successfully managed multiple customer projects on platforms like Upwork and Freelancer.com, as well as with private clients. His work has involved a comprehensive range of AI technologies, including computer vision, video action detection, deep learning, natural language processing, and large language models. Notably, he contributed to the success of a pioneering marketing startup, True Insights, and developed advanced AI models for video crime scene detection and sign language recognition. In addition to his freelance work, Mr. Jamil served as an AI Trainer at NED University in Karachi from October 2023 to March 2024. He designed and taught graduate-level courses in Artificial Intelligence, focusing on deep learning, LLMs, Python, and computer vision. His teaching played a pivotal role in shaping the university’s Post Graduate Diploma program in Generative AI and the “DS & AI” program, where he taught classes on foundational and advanced AI concepts. Furthermore, Mr. Jamil has been an active contributor to Omdena, a global AI community, since July 2023. As the Chapter Lead for the UAE division, he led several innovative AI projects, including the development of a voice-enabled chatbot for Abu Dhabi Open Data Intelligence and an AI application for liver cancer histopathology detection. His role involved coordinating teams of data scientists and overseeing the technical execution of these projects, which led to significant advancements in AI applications for healthcare and data analytics.

🔍Research Focus 

Mr. Tariq Jamil’s research focus lies at the intersection of artificial intelligence (AI), machine learning (ML), and their practical applications across various domains. His work encompasses deep learning, natural language processing (NLP), computer vision, and large language models (LLMs), with a particular emphasis on developing AI solutions for real-world challenges. He has applied his expertise in projects ranging from video action detection and anomaly detection to chatbot development and healthcare diagnostics, such as histopathology and cervical cytology detection.

Mr. Jamil’s research is characterized by a commitment to innovation and impact. He has led projects that harness cutting-edge AI technologies, such as Transformers, YOLO, and OpenCV, to create applications that enhance automation, accuracy, and efficiency in fields like healthcare, security, and transportation. His work in fine-tuning LLMs for specific tasks, such as customer support and legal document processing, highlights his ability to customize AI models to meet the unique needs of different industries.

🏆Awards and Honors

Mr. Tariq Jamil has been recognized for his outstanding contributions to the fields of artificial intelligence and machine learning through various awards and honors. His leadership and innovation in AI, particularly in areas such as deep learning, natural language processing, and computer vision, have earned him accolades from both academic and professional communities. He has been acknowledged for his exceptional project management skills, notably in AI challenges that addressed critical real-world problems like healthcare diagnostics, vehicle inspection, and road safety.

In addition to his technical achievements, Mr. Jamil’s dedication to education has been celebrated, with honors highlighting his impactful teaching and mentoring roles at NED University. His efforts in training the next generation of AI professionals and his involvement in pioneering AI projects have further solidified his reputation as a leading expert in his field. These recognitions serve as a testament to Mr. Jamil’s commitment to excellence and his significant contributions to advancing the frontiers of AI technology.

Conclusion

Based on Mr. Tariq Jamil’s extensive experience, leadership in AI innovation, and dedication to education, he is a strong candidate for the Best Researcher Award. His ability to apply AI solutions to real-world problems, coupled with his commitment to advancing AI education, makes him a valuable asset to the AI community. With continued focus on publishing and expanding his professional network, Mr. Jamil could further elevate his contributions to the field, making him a highly deserving recipient of this award.

📖Publications : 

  1. Publication: “Fluid Coupled Structural Analysis and Optimization of Expanded Polystyrene-Fiber-Reinforced Composite Wing of an Unmanned Aerial Vehicle”
    • Authors: Jamil, T.; Iqbal, A.; Allauddin, U.; Saleem, S.; Ikhlaq, M.
    • Year: 2024
    • Journal: Mechanics of Composite Materials
    • Citations: 0
  2. Publication: “Effect of Glass Powder on the Compressive Strength and Drying Shrinkage Behavior of OPC- and LC3-50-Based Cementitious Composites of Various Strengths”
    • Authors: Ayub, T.; Jamil, T.; Ayub, A.; Mehmood, E.; Sheikh, M.D.
    • Year: 2024
    • Journal: Advances in Materials Science and Engineering
    • Citations: 0
  3. Publication: “Mechanical and Durability Properties of High-Strength Limestone Calcined Clay Cement (LC3) Concrete Containing Waste Glass Powder”
    • Authors: Ayub, A.; Ayub, T.; Jamil, T.; Khan, A.-U.-R.
    • Year: 2023
    • Journal: Iranian Journal of Science and Technology – Transactions of Civil Engineering
    • Citations: 2
  4. Publication: “Electromechanical characterizations of PEDOT

    and its nanocomposite thin films on a cost-effective polymer substrate for microelectromechanical systems (MEMS) applications”

    • Authors: Khan, S.T.; Mehdi, M.; Jamil, T.
    • Year: 2023
    • Journal: Express Polymer Letters
    • Citations: 1
  5. Publication: “Sustainable cementitious material with ultra-high content partially calcined limestone-calcined clay”
    • Authors: Qian, X.; Ruan, Y.; Jamil, T.; Hu, S.; Liu, Y.
    • Year: 2023
    • Journal: Construction and Building Materials
    • Citations: 13
  6. Publication: “Investigating the crumpling effect in honeycomb sandwich panels under bending loads using FEA technique”
    • Authors: Saqib, N.; Jamil, T.; Zai, B.A.
    • Year: 2023
    • Journal: Aeronautical Journal
    • Citations: 0
  7. Publication: “HEAT-TRANSFER ENHANCEMENT OF A SOLAR PARABOLIC TROUGH COLLECTOR USING TURBULATORS AND NANOPARTICLES: A NUMERICAL STUDY”
    • Authors: Allauddin, U.; Ikhlaq, M.; Jamil, T.; Mustafa, H.; Azeem, M.H.
    • Year: 2023
    • Journal: Journal of Enhanced Heat Transfer
    • Citations: 1
  8. Publication: “Comparative Study on LC3-50 with OPC Concrete Using Raw Materials from Pakistan”
    • Authors: Sheikh, M.D.; Jamil, T.; Ayub, T.; Bilal, S.M.; Hu, C.
    • Year: 2023
    • Journal: Advances in Materials Science and Engineering
    • Citations: 2
  9. Publication: “Numerical simulation and validation of MWCNT-CFRP hybrid composite structure in lightweight satellite design”
    • Authors: Iqbal, S.; Jamil, T.; Murtuza Mehdi, S.
    • Year: 2023
    • Journal: Composite Structures
    • Citations: 9
  10. Publication: “Virtual Captive Model tests for Maneuvering Prediction”
    • Authors: Khan, O.U.; Mansoor, A.; Zai, B.A.; Hussain, M.; Jamil, T.
    • Year: 2022
    • Journal: Journal of Maritime Research
    • Citations: 1