Bridging Gesture Recognition and Robotic Control: An AI-Powered PHGR Algorithm Based Approach
Summary
Proposed an AI-powered PHGR algorithm to bridge gesture recognition with robotic control, currently under review for publication (Q1).
Dedicated Lecturer in Computer Science and Artificial Intelligence with 3+ years of experience, specializing in Machine Learning, Computer Vision, and Natural Language Processing. Proven ability to design and deliver captivating technical curricula, optimize complex AI models, and foster engaging learning environments that drive student success. Combines strong research acumen with exceptional interpersonal skills to cultivate an interactive academic atmosphere and contribute to cutting-edge AI advancements.
Lecturer (Artificial Intelligence)
Lahore, Punjab, Pakistan
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Summary
Delivers advanced Artificial Intelligence and Computer Science curricula, fostering an engaging learning environment for university students.
Highlights
Designed and implemented engaging lesson plans for core AI and CS subjects, enhancing student comprehension by fostering interactive classroom discussions and practical exercises.
Mentored students on complex projects involving Machine Learning, Computer Vision, and NLP, guiding them to successfully apply theoretical knowledge to real-world problems.
Integrated latest advancements in AI research and industry best practices into course materials, ensuring curriculum relevance and preparing students for emerging technological challenges.
Evaluated student performance through comprehensive assessments, providing constructive feedback to improve learning outcomes and skill development.
Lecturer (Computer Science)
Sialkot, Punjab, Pakistan
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Summary
Taught foundational and advanced Computer Science courses, facilitating student learning and academic development.
Highlights
Delivered comprehensive lectures on core computer science concepts, ensuring a strong grasp of fundamentals for over 100 students per semester.
Developed and graded assignments, quizzes, and exams, providing timely feedback that supported student academic progress.
Utilized diverse teaching methodologies to accommodate various learning styles, leading to improved student engagement and retention of complex material.
Collaborated with faculty to align course content with departmental objectives, contributing to a cohesive and effective educational program.
Lecturer (Computer Science)
Burewala, Punjab, Pakistan
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Summary
Instructed undergraduate students in Computer Science, focusing on practical application and theoretical understanding.
Highlights
Conducted interactive sessions and practical labs for computer science courses, enhancing students' hands-on technical skills.
Managed classroom dynamics effectively, fostering a positive and productive learning environment for diverse student groups.
Provided academic advising and support to students, helping them navigate coursework and career pathways within computer science.
Prepared and updated course materials, ensuring accuracy and relevance to current industry standards and academic requirements.
Computer Vision and NLP Research Intern
Lahore, Punjab, Pakistan
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Summary
Contributed to advanced research projects in Computer Vision and Natural Language Processing, optimizing machine learning models for high accuracy and scalability.
Highlights
Developed and optimized machine learning models for Computer Vision (CV) and Natural Language Processing (NLP) projects, enhancing performance and scalability of AI solutions.
Designed and fine-tuned deep learning algorithms for critical tasks including image classification, object detection, segmentation, and text processing.
Executed rigorous model evaluation and performance analysis, ensuring high accuracy and reliability of developed AI systems.
Collaborated with senior researchers to integrate cutting-edge techniques, contributing to the advancement of AI research initiatives.
Graduate Assistant, Computer Science and Engineering
Lahore, Punjab, Pakistan
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Summary
Supported academic and administrative functions in Computer Science and Engineering, contributing to curriculum development and student project oversight.
Highlights
Taught and designed laboratory subjects and projects, enhancing practical skills for over 50 undergraduate students in computer science.
Organized and facilitated seminars and workshops, improving student engagement and knowledge dissemination on emerging technical topics.
Contributed actively to key committees, including the Final Year Projects (FYP), National Computing Education Accreditation Council (NCEAC), Curriculum, and Administration, impacting academic standards and program development.
Demonstrated strong technical expertise, critical thinking, and effective multitasking in supporting faculty and student initiatives.
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Master of Science (MS CS)
Computer Science
Grade: CGPA: 3.66/4.0
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Master of Science (MSc CS)
Computer Science
Grade: CGPA: 3.53/4.0, 73%
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Bachelor of Science (BSc.CS)
Computer Science
Grade: Marks Obtained: 56%
Awarded By
5th ICIC Conference, UMT
Acknowledged as an organizer for the 5th International Conference on AI & Emerging Technologies (ICIC), UMT.
Awarded By
Computer Science Department, University of Sialkot (USKT)
Received an Appreciation Certificate as NCEAC Team Leader, nominated by the Computer Science Department for contributions to accreditation.
Awarded By
Prime Minister's Laptop Scheme
Awarded a laptop under the prestigious Prime Minister's Laptop Scheme for academic achievement.
Awarded By
University
Received a merit-based scholarship in recognition of outstanding academic performance.
Awarded By
Unknown
Recognized with a Solar Energy Panel award, indicating participation or achievement in a relevant initiative.
Awarded By
CM Punjab Speech and Essay Writing competition
Won the Essay Writing Competition organized by CM Punjab, demonstrating strong communication and analytical skills.
Summary
Proposed an AI-powered PHGR algorithm to bridge gesture recognition with robotic control, currently under review for publication (Q1).
Summary
Introduced a novel CondGAN-CNN framework to enhance intrusion detection in imbalanced IoT traffic, currently under review for publication (Q1).
Summary
Created a machine learning model for early and accurate prediction of Cotton Leaf Curl Virus (CLCV) on cotton crops, aiming to improve agricultural yield and disease management.
Summary
Developed a novel encoder-decoder architecture to facilitate the design of an administrative Roman-Urdu chatbot, enhancing natural language interaction capabilities.
Summary
Developed an ML-based predictive model for African Swine Fever (ASF) in pigs, contributing to early detection and control strategies for livestock health.
Summary
Developed a symbolic language recognition and translation application to bridge communication gaps for deaf individuals, enhancing accessibility.
Summary
Pioneered a novel approach to hand gesture intelligence for smart classrooms, aiming to empower interaction and engagement in educational settings.
Summary
Leveraged extensive Apple product reviews to generate data-driven suggestions for improving product quality and user satisfaction.
Summary
Final Year Project focused on classifying Lumypskin and assessing its severity using Convolutional Neural Networks for image analysis.
Summary
Conducted feature-based sentiment analysis on Apple product reviews using Machine Learning techniques to extract customer insights.
Issued By
PHEC
Issued By
UMT
Issued By
Kaggle
Issued By
Kaggle
Issued By
Kaggle
Issued By
Kaggle
Issued By
Kaggle
Predictive Modeling, Deep Learning, Neural Networks, Scikit-learn, TensorFlow, PyTorch.
Image Classification, Object Detection, Image Segmentation, Transfer Learning, OpenCV, Keras.
Text Processing, Data Analysis, Tokenization, Lemmatization, Stemming, Stop-word Removal.
Python, PHP, HTML, CSS, C, C++, Object-Oriented Programming, Data Structures, Operating Systems, Programming Fundamentals.
Excel, NumPy, Pandas, SQL, Data Cleaning.
Model Optimization, Performance Analysis, Algorithm Design, Problem Solving, Technical Documentation.
Curriculum Development, Lesson Planning, Student Engagement, Academic Advising, Laboratory Instruction, Workshop Facilitation.
Complex Technical Information Analysis, New Technology Adoption, Communication, Interpersonal Skills, Organization, Time Management, Collaboration, Concept Generalization.
Book Reading, Continuous Learning.
Learning New Technologies, AI Trends, Software Development.
Badminton, Physical Fitness.
Presentations, Communication, Workshops.
Professor, UET Lahore | Email: usman.ghani@kics.edu.pk
Associate Professor, UAF, Faisalabad | Email: rana.m.saleem@uaf.edu.pk
Associate Professor, (GCET), Muscat, Oman | Official: mudassar.h@gcet.edu.om | Personal: mhtarar@gmail.com
Associate Professor, NUML | Email: pervez.akhter@numl.edu.pk
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Summary
Developed an advanced human detection system utilizing deep learning and object detection to identify individuals in diverse and challenging environments, including partial visibility.
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Summary
Pioneered a computer vision project focusing on human detection by analyzing intricate shadow patterns, offering a solution for challenging visual environments.
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Summary
Developed an SMS spam detection system leveraging machine learning and NLP techniques as a term project for an Information Retrieval course.