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Naeem Akbar Channar

Naeem Akbar Channar is a highly motivated academic professional with 10+ years of experience in Computer Science, Information Technology, and Software Engineering. Currently serving as a Senior Lecturer at Isra University, specializing in teaching, research, and academic leadership.

Actively engaged in academic research with multiple publications in internationally recognized journals, focusing on emerging technologies such as AI, Edge Computing, Predictive Maintenance, Healthcare IoT, and Cloud Computing.

 

Demonstrated leadership and organizational capabilities through active involvement with IEEE, including student branch counseling, academic event management, research coordination, and technical workshop execution. Recognized for successfully developing and implementing an electronic voting system and for contributing to the growth of academic and professional communities through seminars, conferences, and student development initiatives.

 

Resume

  • Senior Lecturer, Department of Computer Science, Isra University, Hyderabad (September 2025 - Present)
  • MS. in Information Technology, Sindh Agriculture University Tando Jam, (2016)
    • Specialization: Software Engineering & Information System
  • BS. in Computer Science, University of Sindh, Jamshoro (2013)
  • 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.