Syed Muhammad Saad Salman

Syed M Saad Salman ƒ +92 - #-ï linkedin.com/in/syedmuhammadsaadsalman About Me I am a dedicated and experienced lecturer with over 5 years of expertise in teaching machine learning, natural language processing, artificial intelligence, and mobile development at the Bachelor’s level. My passion for education extends to supervising final year projects, co-supervising MS theses, and mentoring junior team members. I excel in model development and performance evaluation, continuously seeking to enhance my skills and knowledge in the field. Education PhD in Computer Science Department of Computer Science, National University of Computer and Emerging Sciences Aug 2020 – Present CGPA: 3.8 PhD research, I am dedicated to advancing speaker adaptation techniques tailored for low-resource languages such as Urdu. A cornerstone of my work involves curating a dataset comprising multi-speaker speech, laying a solid foundation for my investigations. My principal aim is to elevate the quality of generated audio, with a specific focus on refining the naturalness of pauses within speech segments. Looking ahead, I envision delving into the realm of infusing emotion into synthesized voices, a venture that holds promise for enriching human-machine interactions and speech synthesis applications in low-resource language settings. Masters of Computer Science Department of Computer Science, National University of Computer and Emerging Sciences Aug 2017 – Aug 2019 CGPA: 3.4 MS research, I delved into the realm of hierarchical classification problems using AntMiner. The core of my investigation revolved around three pivotal questions: Can a machine learning system effectively discern the hierarchy of classification it is confronted with? Is it possible to develop an AI system that mirrors the broad spectrum of general intelligence observed in humans? Lastly, can we codify the generalized rules of human cognitive abilities into software, enabling machines to exhibit cognitive behaviors akin to humans? Through AntMiner, I explored these questions, aiming to bridge the gap between hierarchical classification challenges and the eminence of human-like AI. Bachelor of Computer Science Department of Computer Science, IMSciences Peshawar Dec 2011 – Dec 2015 CGPA: 3.8 Final Year Project, I designed and developed an Android mobile application aimed at enhancing productivity. The application enables users to store notes, set alarms for reminders, and uniquely, applies sentiment analysis to the notes. This feature allows users to gauge the emotional tone of their notes, providing a deeper level of insight and reflection. The project integrated various facets of mobile development and natural language processing, contributing to a practical and innovative tool for personal organization and emotional expression. Experience Lecturer Nov 2019– Present National University of Computer and Emerging Sciences, Islamabad • • • • Taught courses in Mobile Application Development, Artificial Intelligence, Machine Learning, and Natural Language Processing etc Participated in the development of an FYP automation system and graduate directory as part of the FYP committee, utilizing LLMS to find matches with searched descriptions. Served as a mentor of the computing society, organizing and leading multiple seminars, talks, workshops, and social activities, including managing parties and trips. Supervised over 30 Final Year Projects (FYPs) during tenure. Researcher Artificial Intelligence and Machine Learning Lab • • Ut purus elit, vestibulum ut, placerat ac, adipiscing vitae, felis. Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aug 2018– Present Instructor Jan 2019– Oct 2019 National University of Computer and Emerging Sciences, Islamabad • Conducted labs of Mobile Application Development and DLD course Teacher Assistant Jan 2018– May 2018 National University of Computer and Emerging Sciences, Islamabad • • Assisted instructor in grading Quizzes, Assignments and project. Documented student progress and communicated with course instructor Android / IOS Developer Nov 2016– May 2017 Directorate of IT Gov KPk • • • • Researched and selected APIs for integration into development projects. Worked with quality assurance team to confirm app compatibility with analogous solutions on other platforms. Applied Apple’s Swift development language to code native apps for iOS platform. Applied Java language to code native apps for Native android applications. WordPress Developer Jun 2016– Oct 2016 Tronicz PK • • Developed and implemented WordPress sites, themes and plugins. Provided timely resolution to reported website problems by integrating new solutions into existing platforms. Internships Intern Android Developer Jul 2014– Sep 2014 Sharp Information Technologies • • • Maintained comprehensive knowledge of mobile development cycle and addressed challenges arising in each phase. Devised documentation for each app, detailing operation aspects, functions, capabilities and features. Applied various techniques to locate bugs and errors in applications for speedy issue resolution. Workshops Machine Learning, Bayesian Inference and Big Data | National Institute of Banking and Finance 2022 • Delivered a workshop on ”Machine Learning, Bayesian Inference and Big Data: The Practical Path for Economists” at NIBAF, Islamabad in June 2022. It was a pleasure to be a part of the first offering of this advanced course that covered Time Series modeling using the latest tools in Machine Learning including Deep Learning, Sequence Networks, LSTMs, Attention, and Transformers for both forecasting and prediction of critical economic indicators. Most importantly, the hands-on aspect of the training which included developing and customizing the advanced models using libraries in Python was the highlight of the seminars. Socket Programming | Ripha University • Delivered a workshop at RIPHA International University ISB on Sockets 2022 Flutter | ISYWSC’22 IEEE Islamabad • Delivered a workshop on Flutter at ISYWSC’22 IEEE Islamabad Section. 2022 References Dr. Waseem Shahzad Director, National University of Computer and Emerging Sciences-Dr. Hammad Majeed Head Of Department CS, National University of Computer and Emerging Sciences-