Shahzeb Khan | Time series | Best Researcher Award

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Mr. Shahzeb Khan | Time series | Best Researcher Award

Assistant Professor at Sharda University, India.

Shahzeb Khan is a dedicated data scientist with a passion for teaching and research. Holding an M.Tech from Mahatma Gandhi Central University Bihar and a B.Tech from AKTU Uttar Pradesh, he has consistently demonstrated academic excellence. With professional experience as an Assistant Professor in Computer Science & Applications at Sharda University and Jagannath University College JIMS, Shahzeb has honed his skills in big data analytics, data science, and data analytics. He has also contributed to the field of data science as a freelance trainer and through his research endeavors, including a paper accepted in the prestigious journal Biomedical Signal Processing and Control. Shahzeb’s expertise spans statistical analysis, machine learning, deep learning, and programming languages like Python, R, and C. With a commitment to continuous learning and a diverse skill set, he seeks to make impactful contributions to the field of data science and academia.

Professional Profiles:

Education

Mr. Shahzeb Khan pursued his M.tech from Mahatma Gandhi Central University Bihar, graduating in 2023 with an impressive CGPA of 8.5. Prior to that, he completed his B.tech from AKTU Uttar Pradesh in 2020, achieving a CGPA of 6.8. His academic journey began with his Intermediate and Matriculation from CBSE in 2015 and 2013 respectively, where he demonstrated strong academic performance. Throughout his education, Shahzeb has shown a commitment to excellence and a passion for learning, evident in his consistent academic achievements and his pursuit of knowledge in diverse fields.

Professional Experience

Mr. Shahzeb Khan has garnered diverse professional experience across the fields of education, data science, and software development. Currently serving as an Assistant Professor of Computer Science & Applications at Sharda University, Greater Noida, he imparts knowledge in various subjects, demonstrating his expertise in big data analytics, data science, and data analytics. Previously, he held the position of Assistant Professor of Data Science at Jagannath University College JIMS, where he taught courses on data analytics and big data analytics. Additionally, Shahzeb has worked as a freelancer data science trainer, conducting training sessions for industries. He also gained valuable experience as a website developer intern at IIY Software Pvt Ltd and contributed as a key coordinator in the Time Series Machine Learning (TSML) 2023 summer training program at MGCUB. Through these roles, Shahzeb has showcased his versatility, leadership, and dedication to both academia and practical application in the field of data science and technology.

Research Interest

Mr. Shahzeb Khan’s research interests lie at the intersection of data science and healthcare, with a particular focus on clinical data analysis and predictive modeling. His research endeavors encompass the development and implementation of machine learning and deep learning techniques for analyzing medical data, especially electrocardiogram (ECG) time series data. He is passionate about leveraging advanced algorithms to enhance the accuracy of disease diagnosis and prognosis, particularly in the context of cardiovascular diseases. Additionally, Shahzeb is interested in exploring statistical, machine learning, and deep learning models for various healthcare applications, aiming to contribute to advancements in predictive analytics and personalized medicine.

Award and Honors

Mr. Shahzeb Khan has been recognized with several prestigious awards and honors for his outstanding contributions to the field of data science and academia. Noteworthy among these accolades is his certification as a Microsoft Technical Associate Front End Web Developer, showcasing his proficiency in web development technologies. Additionally, he has been acknowledged as a Certified Clinical Analyst, demonstrating his expertise in utilizing Software as a Service (SaaS) for clinical data analysis. Furthermore, Mr. Khan played a pivotal role as a key coordinator in the TSML (Time Series Machine Learning) 2023 Summer Training Program at MGCUB, highlighting his leadership and organizational skills. Moreover, his research paper titled “A Novel Hybrid GRU-CNN and Residual Bias (RB) based RB-GRU-CNN Models for Prediction of PTB Diagnostic ECG Time Series Data” was accepted in the prestigious Q1 journal Biomedical Signal Processing and Control, further solidifying his reputation as a distinguished researcher in the field. These honors underscore Mr. Shahzeb Khan’s dedication to excellence and his significant impact in advancing the realms of data science and healthcare analytics.

Research Skills

Mr. Shahzeb Khan possesses a diverse range of research skills that enable him to excel in the field of data science and academia. His proficiency in statistical analysis allows him to conduct rigorous evaluations of various models and techniques, aiding in the selection of optimal methodologies for data analysis and prediction. Furthermore, he demonstrates expertise in machine learning, deep learning, and artificial neural network (ANN) training, utilizing these techniques to develop advanced predictive models and algorithms. Additionally, Mr. Khan is adept at programming languages such as Python, R, and C, enabling him to implement complex algorithms and conduct extensive data manipulation tasks. His problem-solving abilities, coupled with a strong foundation in data structures and algorithms, empower him to tackle challenging research problems effectively. Moreover, Mr. Shahzeb Khan’s theoretical understanding of computer science concepts further enriches his research capabilities, allowing him to contribute meaningfully to the advancement of knowledge in his field.

 

 

 

Hafizah Omar Zaki | Data Analytics Award | Best Researcher Award

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Dr. Hafizah Omar Zaki | Data Analytics Award | Best Researcher Award

Senior Lecturer at Faculty of Economics and Management, Universiti Kebangsaan Malaysia

Dr. Hafizah Omar Zaki is a Senior Lecturer in Marketing at the Faculty of Economics and Management (FEP), Universiti Kebangsaan Malaysia (UKM). She is currently the Head of Emerging Technology & Big Data (ETBD) cluster at the Centre of Global Business and Digital Economy (GloBDE), FEP-UKM. Dr. Hafizah holds a Ph.D. in Marketing specializing in advertising and branding from the University of Malaya (UM), an MBA specializing in Human Resource Management from UKM, and a Degree in Multimedia Management from Multimedia University (MMU). Her research and publications focus on advertising, branding, digital marketing, and digital business. Dr. Hafizah has received awards such as the Harvard Business School Alumni Club of Malaysia Scholarship in 2012 and an Apple Teacher Award in 2021. She is involved in coordinating research and academic forums with governmental bodies such as MOSTI, EPU, and organizations such as Cradle Fund Sdn. Bhd. Dr. Hafizah also participates in societal programs such as voluntary teaching programs for schools and engaging in car boot sales to fund high schoolers and orphanages.

Professional Profiles:

Academic Background:

Dr. Hafizah Omar Zaki is an accomplished academic with a diverse educational background. She earned her Ph.D. in Marketing and Advertising from the University of Malaya in 2021, showcasing her dedication to understanding consumer behavior and communication strategies. Prior to this, she completed her Master’s degree in Human Resource Management from UKM in 2013, demonstrating her interest in organizational behavior and human capital development. Dr. Hafizah began her academic journey by obtaining a Bachelor’s degree in Management with Multimedia from MMU in 2010, highlighting her early passion for integrating technology with management principles. Driven by a desire for continuous learning and academic excellence, Dr. Hafizah has established herself as a respected figure in her field, contributing valuable insights and research findings to the academic community.

Research Projects:

Dr. Hafizah Omar Zaki is actively engaged in a variety of research projects, demonstrating her commitment to advancing knowledge in business and technology. As the project leader, she is leading a study titled “The Impact of Coloured Social Media Advertising on Gen Alpha’s Intention to Purchase,” focusing on consumer behavior among the younger generation. Additionally, she is collaborating as a co-researcher on several projects, including “Enhancing Taxpayers` Engagement in Malaysia through Blockchain Technology,” which aims to improve government-citizen interactions, and “PembanAwards:gunan Modul Bahasa Arab Pemasaran (m-TaswiQ) Bagi Memperkasakan Kebolehpasaran Produk Usahawan Perusahaan Kecil Sederhana (PKS) di Peringkat Global,” focusing on empowering small and medium-sized enterprises (SMEs) through Arabic marketing modules. Furthermore, Dr. Hafizah is involved in projects such as “Pembangunan dan keberkesanan kit ekonomi kitaran bagi pelajar PVMA,” which focuses on economic cycle kit development for PVMA students, and “An analytical framework of dual network embeddedness and resource acquisition of immigrant entrepreneurship,” aiming to understand immigrant entrepreneurship dynamics. She is also contributing to research on tourism with “Exploring the Impact of Virtual Experience on Tourists` Affective State and Visit Intentions” and studying philanthropy with “Digital Platform for Cash Waqf Collection: Understanding Young Donors’ Participation in Malaysia.”

Awards:

Dr. Hafizah Omar Zaki has received several prestigious awards and certifications in recognition of her outstanding contributions and achievements. At UKM, she was honored with the Anugerah Perkhidmatan Cemerlang in 2022, recognizing her excellent service. She also received the MyRA – Anugerah Kecemerlangan MyRA Prestasi 2022 (Inovasi) in 2023 for her innovative contributions. Beyond UKM, Dr. Hafizah has been recognized internationally, receiving the Emerald Award for Excellence in 2024 for her article in Marketing Intelligence & Planning, which was one of the top-cited articles according to Crossref in 2023. She has also been awarded the Sijil Penghargaan Cemerlang Inovasi in 2023 for her exceptional innovations. Dr. Hafizah is also dedicated to continuous learning and professional development. She has obtained certifications in various digital marketing and technology platforms, including YouTube Music Certification, Waze Ads Fundamentals Certification, and Get Started with Google AdMob in 2022. Additionally, she has completed courses in distance learning for educators, digital behavior, and safety, and became an Apple Teacher in 2021. These certifications underscore her commitment to staying abreast of the latest trends and technologies in her field.

Publications:

  1. Virtual reality in digital marketing: research agenda based on bibliometric reflection
    • Authors: HO Zaki, D Fernandez, O Dastane, A Aman, S Sanusi
    • Year: 2023
    • Journal: Marketing Intelligence & Planning
    • Volume: 41
    • Issue: 4
    • Pages: 505-524
    • Citations: 27
  2. Interlinkages between service quality, customer satisfaction and customer loyalty in Malaysia: A case study of Armed Forces Medical Organizations
    • Authors: A Ismail, HO Zaki, IR Rose
    • Year: 2016
    • Journal: Geografia
    • Volume: 12
    • Issue: 7
    • Citations: 22
  3. The Influence of Time Availability, Happiness, and Weariness on Consumers’ Impulse Buying Tendency amidst Covid-19 Partial Lockdown in Malaysia
    • Authors: HO Zaki, SN Ab Hamid
    • Year: 2021
    • Journal: Jurnal Pengurusan
    • Citations: 17
  4. The role of organisational commitment, leadership style, strategic human resources practices and job satisfaction towards sustainable tourism industry: comparative study in the …
    • Authors: ZA Zarim, O Mohamad, MS Rahman, HO Zaki, RP Sergio, DJ Haladay
    • Year: 2017
    • Citations: 17
  5. Cognition and Emotion: Exploration on Consumers Response to Advertisement and Brand
    • Authors: HO Zaki, Y Kamarulzaman, M Mohtar
    • Year: 2021
    • Journal: Jurnal Pengurusan
    • Citations: 11
  6. Robotic process automation: bibliometric reflection and future opportunities
    • Authors: D Fernandez, O Dastane, H Omar Zaki, A Aman
    • Year: 2024
    • Journal: European Journal of Innovation Management
    • Volume: 27
    • Issue: 2
    • Pages: 692-712
    • Citations: 9
  7. Ethics and integrity in building employee’s perceptions
    • Authors: ZA Zarim, HO Zaki
    • Year: 2016
    • Journal: Management Studies
    • Volume: 4
    • Issue: 3
    • Pages: 131-137
    • Citations: 6
  8. Motivation Factors: Impact on Sales Commission Plan Employees in a Telecommunication Company in Malaysia
    • Authors: ZA Zarim, HO Zaki, NLM Maridz
    • Year: 2016
    • Journal: Management
    • Volume: 4
    • Issue: 4
    • Pages: 139-148
    • Citations: 5
  9. Determining factors related to artificial intelligence (AI) adoption among Malaysia’s small and medium-sized businesses
    • Authors: S Lada, B Chekima, MRA Karim, NF Fabeil, MS Ayub, SM Amirul, R Ansar, …
    • Year: 2023
    • Journal: Journal of Open Innovation: Technology, Market, and Complexity
    • Volume: 9
    • Issue: 4
    • Pages: 100144
    • Citations: 4
  10. DOES NEED FOR COGNITION, NEED FOR AFFECT AND PERCEIVED HUMOUR INFLUENCE CONSUMERS’BRAND ATTITUDE?
    • Authors: HO Zaki, Y Kamarulzaman, M Mohtar
    • Year: 2019
    • Journal: International Journal of Management Studies
    • Volume: 26
    • Issue: 2
    • Pages: 1-20
    • Citations: 4