Prof. Dr. Jaiteg Singh | Computer Science | Excellence in Research

Prof. Dr. Jaiteg Singh | Computer Science | Excellence in Research

Prof. Dr.Jaiteg Singh, Chitkara University, Punjab, India

Prof. Dr. Jaiteg Singh, an esteemed figure in Computer Science at Chitkara University, Punjab, India, exemplifies Excellence in Research. With a robust academic background and extensive contributions to the field, Dr. Singh’s work stands at the forefront of technological innovation. His research spans diverse areas, from artificial intelligence to cybersecurity, continually pushing boundaries. As a respected educator, he inspires and mentors future generations of computer scientists. Dr. Singh’s dedication is underscored by numerous publications and collaborations, fostering a dynamic academic environment. His pioneering spirit and commitment to excellence make him a pivotal figure in advancing computational knowledge and applications. ๐ŸŽ“๐Ÿ’ป๐ŸŒ

Profile ๐ŸŒŸ

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Academic Credentials๐ŸŽ“

Prof. Dr. Jaiteg Singh has a diverse educational background that spans across prestigious institutions in India. He completed his Ph.D. in Computer Science and Engineering at Punjabi University, Patiala in 2010, following an M.Phil. in Computer Science from Madurai Kamaraj University in 2006. His foundational education includes a Master of Computer Applications from Punjabi University in 2004 and a B.A (Hons) in Economics from the same university in 2001. This academic journey reflects his dedication to both computer science and interdisciplinary learning. ๐ŸŽ“๐Ÿ’ป๐Ÿ“˜

Work Experience ๐Ÿ’ผ

Prof. Dr. Jaiteg Singh has been appointed as a Research Fellow at INTI International University Malaysia, starting from December 15, 2023, to December 31, 2025. He brings extensive academic leadership experience, having served as Professor & Dean at Chitkara University, Punjab (India) since January 2011. Prior to that, he held roles as Associate Professor at RIMT, Mandi Gobindgarh, Punjab (India) from July 2006 to January 2011, and as a Lecturer at S.G.H.C.M.T., Patiala, Punjab (India) from August 2005 to July 2006, and at Lyallpur Khalsa College, Jalandhar, Punjab (India) from July 2004 to August 2005. ๐ŸŽ“๐ŸŒ๐Ÿ“š

Administrative Experienceย  ๐Ÿ“Š

Prof. Dr. Jaiteg Singh has served as Pro Vice Chancellor (Computer Applications) at Chitkara University, Punjab, since 2017, bringing leadership to the academic realm. His tenure as Dean of the Department of Computer Applications spanned from 2017 to December 2023, where he nurtured academic excellence. Previously, he played a pivotal role as Coordinator of Research and Development at Chitkara University from 2012 to 2017, fostering innovation and scholarly pursuits. Earlier in his career, he contributed significantly as Coordinator of Undergraduate Studies at the Regional Institute of Management and Technology, Mandi Gobindgarh, Punjab, from 2006 to 2010, shaping educational pathways. ๐ŸŽ“๐ŸŒŸ๐Ÿ“š

Consultancy projects ๐ŸŒ

Prof. Dr. Jaiteg Singh has led several consultancy projects showcasing his expertise in IT disaster management and high-performance real-time analysis. In 2017, projects like I.T. Disaster Management and safeguarding ERP applications generated revenues of INR 4,95,000 and INR 5,50,000 respectively. He also contributed significantly to the C & D.S. Bank with a revenue of INR 1,00,000. Over the following years, his project “Express to Help” continued to make an impact, yielding INR 3,00,000 in 2018, INR 2,35,000 in 2019, and INR 6,95,000 in 2020. These ventures exemplify his commitment to excellence in consultancy, enhancing organizational resilience and efficiency. ๐ŸŒ๐Ÿ’ผ๐Ÿ’ฐ

Publications Top Notes ๐Ÿ“š

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques

Deep feature extraction and classification of android malware images

Assessing OpenStreetMap data using intrinsic quality indicators: an extension to the QGIS processing toolbox

Dominant feature selection and machine learningโ€based hybrid approach to analyze android ransomware

A study of neuromarketing techniques for proposing cost effective information driven framework for decision making

Systematic literature review on software effort estimation using machine learning approaches

Classification and analysis of android malware images using feature fusion technique

Automatic detection of Alzheimerโ€™s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers

A systematic study of OpenStreetMap data quality assessment

A survey of multidisciplinary domains contributing to affective computing