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On Achieving Career Goals

by Fred Nwaozor Achieving career goals is a deliberate and continuous process that requires clarity, discipline, and persistence. It begins with a clear understanding of what one truly wants to accomplish in a chosen field. Without a defined direction, efforts become scattered, making it difficult to measure progress or attain meaningful success. Therefore, setting specific and realistic career goals is the first critical step. Self-assessment plays a vital role in this journey. Individuals must evaluate their strengths, weaknesses, interests, and values. By doing so, they gain insight into areas where they can excel and identify skills that need improvement. This awareness helps in aligning personal abilities with career aspirations, ensuring a more purposeful pursuit. Education and skill acquisition are fundamental to achieving career goals. Formal education provides foundational knowledge, while continuous learning helps individuals stay relevant in an ever-evolving profe...

Tech I FUTO Agog As Physics Department Hosts 42nd NIP Conference

November 18-22, 2019 ushered in a period of intellectual harvest in the revered Federal University of Technology, Owerri (FUTO) led by eminent Prof. F. C. Eze as the institution graciously hosted the 42nd Annual Conference of the famous Nigerian Institute of Physics (NIP).





The gathering of renowned intellectuals featured three different sessions to include, the Induction of new members cum Fellows of the Institute, Keynote Addresses and Presentations from distinguished physicists as well as the Technical segment.

The Local Organizing Committee (LOC) was ably headed by the notable female physicist, Prof. C. A. Madu who is currently the Head of the Department of Physics in the University (FUTO).

The Vice-Chancellor, Prof. Eze who is equally a physicist of note and a respected Fellow of the Institute (FNIP), thanked members and guests for finding time to grace the yearly occasion, as he recalled with nostalgia that the Conference was hosted last in FUTO in 2008 when he was the Dean of School of Sciences (SOSC), now divided into the School of Physical Sciences (SOPS) and School of Biological Sciences (SOBS).

In his words, the President of the NIP, Prof. H. O. Aboh remarked that the annual occasion was an avenue of showcasing the talents, skills, intellectuals and resources that lie within the scope of the Institute, hence informed that the body was determined to remain persistent in upholding the core mandates of the Conference.

The highlights of the event was the induction of some eminent members as Fellows of the NIP. Two renowned physicists of the FUTO extraction - in the persons of Prof. I. C. Ndukwe and Prof. B. C. Anusionwu - were awarded with the Fellowship honour.

The event was attended by high ranking physicists within the shores of Nigerian society and beyond such as the likes of Prof. P. N. Okeke whose name is synonymous with Physics in Nigeria.

The event, which precisely took place in the University's Hall of Excellence of 1000 capacity, saw the presence of thousands of respected professionals and captains of industries. Everyone reportedly left the venue fulfilled.
Fred Nwaozor, popularly known as TheMediaAmbassador, is a Nigerian tech expert, author, creative & content writer, media strategist, policy analyst, blogger, public speaker and rights activist. The renowned columnist regularly writes for the Federal Radio Corporation of Nigeria (FRCN), and is the Founder & Convener of Right Thinkers Movement (RITMO), Nigeria. He's a chartered industrial physicist, engineer and IT personnel. As a media guru, he enjoys an active presence in all media segments - including electronic, print & digital - since two decades ago till date. As a full-time researcher and educator, he's a regular contributor and peer reviewer for various internationally-noted engineering journals. As Telecommunications and Automation engineer, his research interest mainly lies in System Modelling, Internet of Things (IoT), Smart city, Cybersecurity, Wireless networks, and Machine Learning (ML).