Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

PhD Scholar at Software Engineering, University of Electronic Science and Technology of China

Mr. Muhammad Arslan Rauf is a Ph.D. scholar in the final year with a focus on Recommendation Systems, Zero-Shot Learning, and Deep Learning. He has a robust foundation in cutting-edge research methodologies and a passion for technological innovation. His 18 years of comprehensive education, culminating in a Master’s degree, have equipped him with deep analytical skills and a keen eye for detail. With experience in both research and teaching, he is adept at distilling complex concepts into understandable insights. He is eager to contribute his expertise to a dynamic team, driving forward advancements in computer science and fostering an environment of continuous learning and innovation.

Professional Profiles:

👨‍🎓 EDUCATION AND TRAINING:

🎓 Doctorate in Software Engineering (PhD)
University of Electronic Science and Technology of China
[10/09/2020 – Current]
Thesis: Zero-shot learning for Cold-strat Recommendation

🎓 Master of Science in Computer Science
National Textile University, Faisalabad, Pakistan
[28/10/2017 – 28/10/2019]
Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
Major: Machine Learning, NLP, Computer Vision

🎓 Bachelor of Science in Computer Science
Government College University, Faisalabad, Pakistan
[10/09/2013 – 14/09/2017]
Core Subjects: Algorithm, Database, OOP, Data Structure, Operating System, Automata

💼 WORK EXPERIENCE

💻 Lecturer (Computer Science)
Riphah International University, Faisalabad, Pakistan
[24/09/2019 – 31/03/2021]

🗣️ LANGUAGE SKILLS

🗣️ Urdu (Mother tongue)
Levels: A1 and A2: Basic user; B1 and B2: Independent user; C1 and C2: Proficient user

🌐 DIGITAL SKILLS

🖥️ Programming language: Python / C, C++, C#
📊 Microsoft Office (Microsoft)
🐍 Python libraries: NumPy, Pandas, Keras, Sci-Kit Learn, TensorFlow, Matplolib, Seaborn
🗄️ Database: Oracle, MYSQL, SQL+, Access
📝 Microsoft SQL and Oracle SQL
📚 End Note
📑 Overleaf & LaTeX
🔧 VSCode, Visual Studio

Publications:

  1. Fabric weave pattern recognition and classification by machine learning
    • Authors: MA Rauf, M Jehanzeb, U Ullah, U Ali, M Kashif, M Abdullah
    • Conference: 2022 2nd international conference of smart systems and emerging technologies
    • Citations: 2
    • Year: 2022
  2. Content-Based Venue Recommender Approach for Publication
    • Authors: M Umair, S Jabbar, MA Rauf, M Rafiq, T Mahmood
    • Conference: International Conference on Engineering Software for Modern Challenges
    • Citations: 2
    • Year: 2021
  3. An Efficient Ensemble approach for Fake Reviews Detection
    • Authors: A Iqbal, MA Rauf, M Zubair, T Younis
    • Conference: 2023 3rd International Conference on Artificial Intelligence (ICAI)
    • Citations: 1
    • Year: 2023
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Authors: MA Rauf, H Ahmad, CMN Faisal, S Ahmad, MA Habib
    • Conference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
    • Citations: 1
    • Year: 2020
  5. BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation
    • Authors: MA Rauf, MMY Khalil, W Wang, Q Wang, MANU Ghani, J Hassan
    • Journal: Information Processing & Management
    • Citations: Not provided
    • Year: 2024
  6. Occupational radiation dose to workers in a cancer hospital.
    • Authors: MU Ghani, KU Khan, T Khan, A Bahadur, M Rauf
    • Journal: Pakistan Journal of Nuclear Medicine
    • Citations: Not provided
    • Year: 2022
  7. An Effective Technique for Detecting Defecting Parts of Fabric in Digital Image
    • Authors: MA Rauf, M Abubakar, U Ullah, NU Haq
    • Conference: 2021 International Conference on Innovative Computing (ICIC)
    • Citations: Not provided
    • Year: 2021

 

 

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.