Mohammed Nisham Anwer -

Assist. Lecturer

Mohammed Nisham Anwer SAFAR

Research Interests

Gender	MALE
Place of Work	Technical Engineering College/ Kirkuk
Position	-
Qualification	Master
Speciality	Artificial Intelligence
Email	mohammed.sefer@ntu.edu.iq
Phone	07507818111
Address	Tisin Street, Kirkuk, Kirkuk, Iraq

Academic Links

Biography

Currently working as an Assistant Lecturer at the Technical College of Engineering – Kirkuk, Northern Technical University, Iraq. I hold an MSc in Electrical and Electronics Engineering (specializing in Artificial Intelligence) from Gaziantep University in Turkey.

My main areas of interest are Artificial Intelligence, Machine Learning, Signal Processing, Robotics, and Computer Vision. I’ve published several research papers on sign language recognition, robotic manipulation using ROS-Gazebo, and predictive modeling for laser communication signals. I’ve also worked on real-time AI systems and continue to explore how intelligent technologies can solve practical problems.

In my current role, I teach subjects like AI, Programming, Cybersecurity, IoT, Operating Systems, and Networks. I’m involved in supervising final-year projects, developing course materials, and serving on multiple academic and accreditation committees. I’ve also contributed to conferences both as a speaker and organizer, and I review papers for international journals such as those published by Elsevier.

I’m passionate about bridging the gap between theory and application, and I enjoy working with students and fellow researchers to build innovative solutions. I speak English, Turkish, Arabic, Kurdish, and my native language Turkmani.

Skills

Research Skills (95%)

Communication & Interpersonal Skills (95%)

Project & Time Management (90%)

Technical Writing & Documentation (95%)

Teaching & Curriculum Development (100%)

Programming Proficiency (100%)

working experience

Academic Qualification

MSc

Sep 1, 2015 - Oct 6, 2017

Electrical & Electronics Engineering (AI)

BSc

Sep 1, 2009 - Jun 1, 2013

Information Technology

Working Experience

Northern Technical University [Assistant Lecturer]

Sep 1, 2019 - Present

• Teaching “Artificial Intelligent, Programming, Cybersecurity, Design of Realtime systems, IoT,
operating systems, Networks, And Database” in Computer Engineering department to
undergraduate.
• Leading seminars, tutorials and labs.
• Designing and implementing curriculum and course material.
• Supervising student projects and research activities.
• Participating in different panels.
• Attending conferences, seminars, and workshops
• Working with other faculty members on joint research projects

International Tishik University [Research and Teaching Assistant]

Oct 1, 2014 - Jun 1, 2016

Teaching and Laboratory Assistance:
• Served as a Teaching and Laboratory Assistant in the IT Department for two consecutive academic
years, assisting in the following courses:
o Database and Advanced Database
o C++ and Programming Languages
o Web Programming and Designing
o 3D Max and Photoshop
o Data Communications and Computer Networks
o Data Structure and Algorithms
• Instructed the course, Introduction to IT, for the Architecture and Law departments during the
2014-2015 academic year.
• Offered guidance and instruction in Introduction to IT for Prep School students during the 2015-
2016 academic year.
Committee and Organizational Roles:
• Headed the Technical Committee for the "International Engineering Conference on Developments
in Civil & Computer Engineering Applications" held in Erbil, 2016.
• Contributed as a Member of the Editorial Team for the same conference in both 2016 and 2015.
• Actively participated as a Member of the Organizational Committee for the "International
Engineering Conference on Developments in Civil & Computer Engineering Applications" in Erbil,
during both 2015 and 2016.
• Served on the exam committee for the academic years 2014-2015 & 2015-2016, overseeing both
midterm and final examinations.
• Engaged as a Member of the Organizational Committee for the National Innovation Contest in
Engineering competition in consecutive years, 2015 and 2016.
Technical Contributions and Administrative Roles:
• Took the initiative to set up the Cisco Laboratory for the University in Erbil in 2015.
• Designed and developed a mobile application for the University, launched in 2016.
• Undertook the role of Web Admin, overseeing and maintaining the University's websites for
departments including IT, Civil, Computer, Architecture, and Interior Design.
• Engaged in administrative tasks for the department, playing a pivotal role in the student
admission process for two academic years.

Technical College Kirkuk [External Lecturer]

Oct 1, 2013 - Jun 1, 2014

Teaching “Introduction to Computer” in Department of Pathological Analysis.
Teaching “Introduction to Computer” & “Virtual Studio” Department of Environmental Engineering.

Publications

Hallucinations in GPT-2 trained model

Jan 25, 2025

Journal Ingénierie des Systèmes d’Information

DOI 10.18280/isi.300104

Issue 30

Volume 1

This paper analysis the phenomenon of "hallucinations" in text generated by GPT-2 when it produces irrelevant or illogical content. This work has quantified the extent of those hallucinations and look into ways of their mitigation. By using two main techniques: cosine similarity and frequency analysis. These techniques calculate coherency and relevance in the text produced by OpenAI GPT-2 at different training levels. Where a study case was implemented to train the model and ask the questions and retrain the model using these replays. The main findings indicate that this model hallucinates much less at the beginning of learning, with the situation significantly improving as training progresses. Extreme learning does not eliminate all such inadequacies, and more over-training led to more hallucinations. The hallucinated items span from smaller deviations to major content-wise deviations. An inspection reveals some patterns and cues that are predictive of increased output unreliability of the model. This research suggests a stricter training program that involve varied data sets to reduce the rate of hallucinations. More importantly, improve the accuracy of the model by reaching superior levels through the embedding of contextual and factual anchoring systems as well as designing algorithms for higher trigger identification. Other recommendations of the paper include post-generation text evaluation and continuous research to enhance the complexity of the models.

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A ROS-Gazebo Interface for the Katana Robotic Arm Manipulation

Jun 30, 2021

Journal Ukh journal of science and engineering

publisher Univeristy of Kurdistan Hewler

DOI 10.18280/isi.300104

Issue 8

Volume 5

Nowadays, simulators are being used more and more during the development of robotic systems due to the efficiency of the development and testing processes of such applications. Undoubtedly, these simulators save time, resources and costs,as well as enableease of demonstrations of the system. Specifically, tools like the open source Robotic Operating System (ROS) and Gazebo have gained popularity in building models of robotic systems. ROS is extensively used in robotics due to the pros of hardware abstraction and code reuse. The Gazebo platform is used for visualisation because of its high compatibility with ROS. In this paper, ROS and Gazebo have been integrated to build an interface for the visualisation of the Katana Armmanipulator.

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Performance evaluation of harmonics on power quality: case study

Jan 1, 2016

Journal The International Journal of Energy and Engineering Sciences

DOI 10.18280/isi.300104

Issue 1

Volume 1

This work is proposed the results of current and voltage measurements in the real low voltage distribution system and explains the effects of Harmonics in the Power System with high accuracy with many factors, the relationship between the load and no load and its effects on electrical equipment are practically analyzed , caused by connecting the resistive load and no loading with conclusion two form frequencies, the system behavior is analyzed using the power quality analyzer device (Fluke-435B). This paper will imitate to these sets and include graphs which should explain the variances between individual power quality disturbances. the analysis of the results with respect to k factor and THD and how these can be analyzed to check more successfully w.r.t IEEE 519 are showed. The elements of the distribution system consist of:1 kVA transformer, load resister, and Adjustable Speed Drivers(ASJ) are modeled

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Conferences