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Hala Road, Hyderabad +92 22 2030181 info@isra.edu.pk

Mr. Naeem Akbar Channar

I am an experienced lecturer with a strong academic background in computer science and information technology. I hold a Master’s degree in Information Technology (MSIT) and have over nine years of teaching experience at the undergraduate level, specializing in subjects including Database Systems, Object-Oriented Programming, Mobile Application Development, and IoT. Throughout my career, I have combined academic rigor with practical insights, mentoring students in projects, guiding research initiatives, and contributing to the development of innovative academic tools and systems.

Resume

Senior Lecturer

  • PhD (IT) University of Sindh Jamshoro ( In Process ) 
  • MS(IT) in Software Engineering &  Information System  SAU Tandojam 2016 1st Division 
  • BSIT( Hons ) SAU Tandojam 2013 B+ / 3.64 
  • Intermediate B.I.S.E. Hyderabad 2008 B 
  • Matriculation B.I.S.E. Hyderabad 2007 A 
  • Worked as a Lecturer Department of Computer Science at SZABIST Hyderabad University from 4 August 2019, to 18 September 2025.
  • Worked as Faculty at Aptech Garden Center, Karachi, from 1 May 2017, to 30 September 2019.
  • Worked as Faculty in BBSYDP from 10 August 2016 to 25 March 2017.
  • Worked as Faculty in Aptech Latifabad Hyderabad from 31 January 2016 to 30 April 2017.
  • Worked as Faculty at Aptech Garden Center, Karachi, from August 4, 2014, to November 7, 2015. 
  1. A REVIEW ON EDGE AI FOR LOW-LATENCY HEALTH MONITORING IN WEARABLE IOT DEVICES: CHALLENGES AND FUTURE DIRECTIONS Spectrum of Engineering Sciences, Vol. 3, No. 7 (2025).  
  2. IMPACT OF AI ON JOB MARKET: REVIEWING LITERATURE ON JOB DISPLACEMENT VS JOB CREATION Policy Research Journal, Vol. 3 No. 7 (2025), pp. 651–663.   
  3. A SEMANTIC SENTIMENT ANALYSIS APPROACH TO DETERMINE ROMAN URDU SOCIAL MEDIA COMMENTS, Spectrum of Engineering Sciences, Vol. 3, No. 7 (2025), pp. 1029–1037.   
  4. REINFORCEMENT LEARNING FOR IOT-BASED PREDICTIVE MAINTENANCE: APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS Spectrum of Engineering Sciences, Vol. 3, No. 7 (2025), pp. 876–887.  
  5. REINFORCEMENT LEARNING IN IOT-DRIVEN HEALTHCARE: OPPORTUNITIES, CHALLENGES, AND FUTURE DIRECTIONS Spectrum of Engineering Sciences, Vol. 3, No. 7 (2025), pp. 779–790.   
  6. DESIGN AND IMPLEMENTATION OF A FIREBASE-INTEGRATED IOT-BASED FLOOD DETECTION AND EARLY WARNING SYSTEM FOR PAKISTAN Spectrum of Engineering Sciences, Vol. 3, No. 7 (2025), pp. 262–267.  
  7. THE EVOLUTION OF CLOUD COMPUTING POLICIES IN EMERGING ECONOMIES: A COMPARATIVE STUDY OF PAKISTAN AND INDIA  Spectrum of Engineering Sciences, Vol. 3, No. 5 (2025), pp. 652 –865  
  8. "CLOUD COMPUTING ADOPTION IN SMES: AN EMPIRICAL STUDY USING PLS-SEM." Scientific and Engineering Studies Journal (SESJ), Vol. [3], 2025. [HEC-Recognized] [Online ISSN: 3007-3138 | Print ISSN: 3007-312X]. Available at: https://sesjournal.com/index.php/1/article/view/223  
  9. "AI INTEGRATION IN PAKISTAN'S BANKING SECTOR: EXAMINING THE IMPACT ON ORGANIZATIONAL OUTCOMES WITH EMPLOYEE ADAPTABILITY AS A MODERATOR." Spectrum of Engineering Sciences, Vol. [3], 2025. [HEC Y-Category] [Online ISSN: 30073138 | Print ISSN: 3007-312X]. Available at: https://sesjournal.com/index.php/1/article/view/152  
  10. Master’s thesis 2016 titled "A Comparative Study of Edge Detection Techniques in Digital Images" was published on 27 Jan 2020 has the following ISBN: 9783346102386, Publisher: Grin Link: https://www.grin.com/document/512938. 
  • Awarded a rebate of 58 USD in 2022 in recognition of exemplary contributions to IEEE Szabist Hyderabad Student Branch (Registered as STB64615, Shaheed Zulfikar Ali Bhutto Inst of Sci-Hyderabad) portal activities, and successful coordination of events.
  • Awarded a rebate of 64 USD in 2021 in recognition of exemplary contributions to IEEE Szabist Hyderabad Student Branch (Registered as STB64615, Shaheed Zulfikar Ali Bhutto Inst of Sci-Hyderabad) portal activities, and successful coordination of events.
  • Acknowledge with Appreciation award in year 2021 from IEEE Karachi Section for notable services and contribution towards the betterment of student branch.
  • Acknowledge with Appreciation award in year 2020 from IEEE Karachi Section for notable services and contribution towards the betterment of student branch.
  • Created and implemented an Electronic Voting Software for Szabist Hyderabad, utilized in various elections and exhibitions.
  • Designed and developed a user-friendly and secure electronic voting system.
  • Successfully deployed the software for Szabist Student Council elections and IEEE Szabist Hyderabad Exhibition voting.
  • Ensured the reliability and accuracy of the voting process, contributing to transparent and efficient elections.
  • Provided technical support and training for users during election periods. 
  • Successfully planned and executed numerous seminars, workshops, and project exhibitions.
  • Collaborated with Szabist Student Council, Szabist Computing Society and ACM to ensure the success of the overall events program.