Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din, Nanchang University, China.

Prof. Ghulam Mohi-ud-din is an experienced Product Coordinator 🧠 with 7+ years of expertise in software engineering, research, and IT strategy πŸ’‘. He excels in risk mitigation, quality assurance, and infrastructure development πŸ› οΈ. Currently pursuing a PhD in Software Engineering, Ghulam has also worked with top firms like IBM and Oracle 🌐. A certified PMP, CCIE, and OCP πŸŽ“, he is passionate about driving innovation, leading cross-functional teams, and delivering impactful tech solutions πŸš€.

πŸŽ“ Early Academic Pursuits

Ghulam Mohi-ud-din began his academic journey with a Bachelor’s degree in Software Engineering from the University of Engineering and Technology, Lahore, graduating with an impressive GPA of 3.6. He further honed his technical skills through a Master of Science in Computer Systems Networking and Telecommunications at the University of Florida, maintaining a strong GPA of 3.85. Currently pursuing a PhD in Software Engineering at Northwestern Polytechnical University, Xi’an, Ghulam’s commitment to lifelong learning sets a solid foundation for his professional achievements. πŸ“˜πŸ’»

πŸ’Ό Professional Endeavors

With over 17 years of extensive experience, Ghulam has held pivotal roles across multiple continents. His current position as a Product Coordinator at ResearchEX Ltd, London, involves project leadership, strategic implementation, and cross-functional team management. Past roles include Project Consultant at IBM, Visiting Faculty at LUMS, Assistant DBA at Oracle, and Network Administrator at OGDCL, each enriching his skill set in IT infrastructure, data management, teaching, and network security. πŸŒπŸ“Š

πŸ”¬ Contributions and Research Focus On Computer Science Β 

Ghulam’s research spans across software engineering, machine learning, and infrastructure development. His time as a faculty member at LUMS saw him guiding students in computer science research, securing funding, and authoring significant research publications. His doctoral research aligns with modern software methodologies, ensuring real-world applicability and innovation. πŸ§ πŸ“ˆ

🌍 Impact and Influence

From enhancing cloud infrastructure at Oracle to leading agile methodologies in the UK tech sector, Ghulam’s influence extends to policy development, training programs for thousands of employees, and optimizing technical workflows that reduce costs and increase operational performance. His leadership style promotes team unity, performance recognition, and long-term organizational success. πŸ’‘πŸ€

πŸ† Awards and Honors

Ghulam holds a rich collection of certifications from globally recognized institutions including Cisco (CCNA, CCNP, CCIE), Oracle (OCA, OCP, OCE), Red Hat (RHCE, RHCT), and Project Management Professional (PMP). These validate his authority in system architecture, project management, and enterprise-level IT strategy. πŸŽ–οΈπŸ“œ

πŸš€ Legacy and Future Contributions

Poised at the intersection of academia and industry, Ghulam’s future goals involve leading transformational IT initiatives, mentoring the next generation of technologists, and contributing groundbreaking research in AI and software systems. His vision includes bridging academic theory with business innovation, leaving a legacy of empowered teams and streamlined technology infrastructures. πŸŒπŸš€

πŸ“šPublications Top Notes

  • Click-level supervision for online action detection extended from SCOAD

    • Journal: Future Generation Computer Systems

    • Year: 2025

  • Deciphering TON-IoT threats: Meta-heuristic and deep learning for attack classification

    • Journal: Expert Systems with Applications

    • Year: 2025

  • A wireless sensor network for coal mine safety powered by modified localization algorithm

    • Authors: H.Z. ul Hassan, A. Wang, G. Mohi-ud-din

    • Journal: Heliyon

    • Year: 2025

  • ML-Driven Audit Risk Assessment with Differential Privacy

    • Authors: Dr. Ghulam Mohi-ud-din

    • Conference: 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI)

    • Year: 2024

  • Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system

    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din

    • Journal: Vehicular Communications

    • Year: 20

  • Real-time portrait image retouching extended from DualBLN

    • Journal: Expert Systems with Applications

    • Year: 2024

  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique

    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2023​

  • Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier

    • Authors: Ghulam Mohi-ud-din, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng

    • Journal: Expert Systems with Applications

    • Year: 2023

  • Intrusion detection in wireless sensor network using enhanced empirical based component analysis

    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Asim Muhammad

    • Journal: Future Generation Computer Systems

    • Year: 2022

Nikolay M. Sirakov | Data Science | Excellence in Research Award

Prof. Nikolay M. Sirakov | Data Science | Excellence in Research Award

Prof. Nikolay M. Sirakov, East Texas A&M University, Dept. Mathematics, United States.

Nikolay Metodiev Sirakov is a Professor of Mathematics at East Texas A&M University 🏫, specializing in pattern recognition, machine learning, and mathematical modeling πŸ”¬. With a Ph.D. from the Bulgarian Academy of Sciences πŸŽ“, his research spans image processing, artificial intelligence, and biomedical applications 🧠. He has collaborated with leading global institutions 🌍 and supervised numerous Ph.D. and Master’s students πŸ“š. His contributions to computer vision and AI-driven diagnostics πŸ€– have earned him international recognition. ✨

🌟 Professional Profile

πŸŽ“ Early Academic Pursuits

Nikolay Metodiev Sirakov’s academic journey began with rigorous training at Bulgaria’s top institutions, including the Bulgarian National High School of Mathematics and CS. He pursued undergraduate studies at Sofia University, earning his B.S. in Mathematics and Computer Science. He went on to complete his Master’s in Coding Theory at Sofia University and later obtained his Ph.D. from the Bulgarian Academy of Sciences, specializing in Pattern Recognition.

πŸ’Ό Professional Endeavors

Sirakov has held various prestigious academic positions, including professor and associate professor at Texas A&M University-Commerce since 2004. He also served as a senior researcher and invited professor at institutions like Instituto Superior Tecnico, Lisbon, and Northern Arizona University. His leadership includes chairing committees and collaborating with diverse institutions globally.

πŸ”¬ Contributions and Research Focus On Data ScienceΒ 

Sirakov’s research spans machine learning, image processing, and biomedical applications, with significant contributions to skin cancer diagnosis, tracking objects in video, and automatic threat detection. He has led multiple international collaborations, publishing numerous peer-reviewed papers and advancing computational techniques, particularly in sparse representation and neural network

🌍 Impact and Influence

With his vast expertise, Sirakov has influenced fields such as medicine, security, and robotics, making a profound impact on medical imaging and biomechanics. His work in automated melanoma diagnosis has gained recognition in the medical community, while his contributions to video object tracking and image segmentation remain highly influential in computer vision.

πŸ† Awards and Honors

  • Best Paper Award – Oluwaseyi Igbasanmi, Nikolay M. Sirakov, and Adam Bowden were recognized for their paper, CNN for Efficient Objects Classification with Embedded Vector Fields, presented at ICCIDA2023 and published in the Springer book series. πŸ“š

  • 2nd Place Winner in Mathematics – Elisha Shachar received recognition for the project on An Artificial Intelligence-Based Driving Environment Descriptor: Voice Alerts to Drivers at the 15th TAMU System Pathway Students Symposium. πŸš—

  • 1st Place Winner in Mathematics – Mengzhe Chen, supervised by Nikolay Sirakov, presented Singular Points of the Gradient Field of the Poisson Partial Differential Equation Solution on an Image at the TAMU System Pathway Students Symposium. πŸ”’

  • Lockheed Martin Best Paper Award – Awarded to a team for their paper, From Shape to Threat: Exploiting the Convergence Between Visual and Conceptual Organization for Weapon Identification and Threat Assessment. πŸŽ–

πŸš€ Legacy and Future Contributions

Sirakov’s legacy is built on his innovative contributions to computational science and biomedical engineering. Looking ahead, his continued work in machine learning and medical applications promises to influence the next generation of scientific advancements in healthcare technologies and security systems.

πŸ“šPublications Top Notes

  • A system for reconstructing and visualizing three-dimensional objects
    Citations: 70 πŸ“Š
    Year: 2001 πŸ—“οΈ

  • Lesion detection in dermoscopy images with novel density-based and active contour approaches
    Citations: 51 πŸ“ˆ
    Year: 2010 🩺

  • A new active convex hull model for image regions
    Citations: 36 πŸ“
    Year: 2006 πŸ”

  • Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features
    Citations: 35 πŸ’‘
    Year: 2012 πŸ§‘β€βš•οΈ

  • Interpolation approach for 3D smooth reconstruction of subsurface objects
    Citations: 34 🌍
    Year: 2002 πŸ–₯️

  • Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions
    Citations: 30 πŸ”¬
    Year: 2011 🧠

  • Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications
    Citations: 26 πŸ’‰
    Year: 2015 πŸ“Š

  • Intelligent shape feature extraction and indexing for efficient content-based medical image retrieval
    Citations: 26 πŸ”
    Year: 2004 πŸ₯

  • Recognition of emotional states in natural human-computer interaction
    Citations: 23 😐
    Year: 2008 πŸ€–

  • An integral active contour model for convex hull and boundary extraction
    Citations: 22 🏞️
    Year: 2009 πŸ”§

  • Threat assessment using visual hierarchy and conceptual firearms ontology
    Citations: 19 πŸ”«
    Year: 2015 🚨

  • Search space partitioning using convex hull and concavity features for fast medical image retrieval
    Citations: 19 πŸ”Ž
    Year: 2004 πŸ₯

  • Optimal set of features for accurate skin cancer diagnosis
    Citations: 18 🩺
    Year: 2014 🧬

  • Skin lesion feature vectors classification in models of a Riemannian manifold
    Citations: 17 πŸ₯
    Year: 2015 πŸ”¬

  • Automatic feature extraction and recognition for digital access of books of the Renaissance
    Citations: 15 πŸ“š
    Year: 2000 πŸ”

  • Sparse representation wavelet-based classification
    Citations: 11 πŸ–ΌοΈ
    Year: 2018 πŸ’»

  • A novel classification system for dysplastic nevus and malignant melanoma
    Citations: 11 🩺
    Year: 2016 🌟

  • New accurate automated melanoma diagnosing systems
    Citations: 11 🧬
    Year: 2015 βš•οΈ

  • Weapon ontology annotation using boundary describing sequences
    Citations: 11 πŸ”«
    Year: 2012 πŸ›‘οΈ

  • Active contour directed by the Poisson gradient vector field and edge tracking
    Citations: 10 πŸ–₯️
    Year: 2021 πŸ“‰

  • Comparing 2D borders using regular structures
    Citations: 10 πŸ”
    Year: 1994 πŸ–ΌοΈ

  • Support vector machine skin lesion classification in Clifford algebra subspaces
    Citations: 9 🩺
    Year: 2019 πŸ“ˆ

  • Poisson equation solution and its gradient vector field to geometric features detection
    Citations: 9 πŸ”¬
    Year: 2018 πŸ”§

  • Integration of low-level and ontology-derived features for automatic weapon recognition and identification
    Citations: 9 πŸ›‘οΈ
    Year: 2011 πŸ’‘

  • Monotonic vector forces and Green’s theorem for automatic area calculation
    Citations: 9 πŸ”
    Year: 2007 πŸ“

  • A new automatic concavity extraction model
    Citations: 9 πŸ”
    Year: 2006 🧠

  • Classification with stochastic learning methods and convolutional neural networks
    Citations: 8 πŸ€–
    Year: 2020 πŸ’»

  • From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment
    Citations: 8 πŸ”«
    Year: 2013 πŸ›‘οΈ

  • Skin lesion image classification using sparse representation
    Citations: 8 🩺
    Year: 2018 πŸ“Š