کوئی تو ابرِ مودّت، کوئی سحابِ کرم
حضورؐ اب تو کھلے ہم پہ کوئی بابِ کرم
مرے نبیؐ کا وُہ دربارِ محتشم ہے جہاں
نہ کوئی حد ہے کرم کی نہ کچھ حسابِ کرم
ہماری آنکھوں میں کنکر دکھوں کے چبھتے ہیں
علیؓ کا واسطہ! بخشیں ہمیں لعابِ کرم
وُہ جس کو پڑھ کے مؤ لف قلوب ہوتے ہیں
اب اُترے ہم پہ بھی صفّہ کا وُہ نصابِ کرم
کہ اب تو تشنہ لبی سے دماغ جلتا ہے
سو کوئی ابر کا چھینٹا کہیں سے آبِ کرم
دلوں میں تیرگی تعبیر کی مسلّط ہے
ہمیں عطا ہو کوئی روشنیِ خوابِ کرم
وفورِ رحمتِ عالم مآبؐ اتنا ہے
عجب نہیں کہ میں لا ہی سکوں نہ تابِ کرم
سلام و ذکر سے ایماں کی آبیاری کروں
کھلے گا نخلِ تمنا پہ یوں گلابِ کرم
حروفِ رحمت و رافت میں چوم لوں عابدؔ
کُھلی ہوئی ہے مرے سامنے کتابِ کرم
Abdul Haq, India’s most popular researcher and literary figure, got retirement from the University of Delhi as dean of the Department of Urdu. For the very first time in India, he selected Iqbaliat as his doctorate topic. His books on Iqbaliat highlighted various unexplored topics and personalities. He presented and preached Iqbal’s thoughts and quotations exactly the way Iqbal wanted them to be presented. His articles on Iqbal always received great appreciation from all the literary circles and conferences in which he presented them. As a profound lover and having an understanding of Iqbal’s poetry, he gave new dimensions to his poetry, previously unknown to the world. Furthermore, as a researcher, he discussed numerous scholars who claimed to have an understanding of Iqbal’s poetry and analyzed their work critically. The current study is an acknowledgement of Professor Abdul Haq’s endeavors in the field of education, literature and his services for Iqbaliat. Moreover, the present study encompasses his written publications on the topic of Iqbaliat.
The paradigm of lifelogging promises the development of automatic systems for recording users'' life events information digitally and develops an electronic prosthetic memory for providing complementary assistance to human biological memory. Several lifelogging systems are invented by assimilating computing and sensory technologies to capture, annotate, and retrieve lifelong information. The wearable technology has gained market traction; however, has several limitations including hard-to-work environment, number of sensors, uni-faceted, etc. Therefore, they are unable to use contextual semantics for organizing lifelog information like in human episodic memory. In addition, the large-scale adaptation of lifelogging is possible, if lifelogging functionality is integrated in devices that are already owned and maintained by users. To bridge the gap, this thesis examines smartphone technology for developing a common understanding of using smartphone as a de-facto lifelogging device. The various contextual semantics from smartphone sensors data and their potential applications in lifelogging are identified. The semantic model (i.e., ontology) is developed and tested for using the contextual semantics to organize, annotate, and relate lifelog information in similar to human episodic memory, and provide enough contextual cues to recall lifelog information like associative recall in human memory. The semantic framework is proposed to unify the research efforts by incorporating smartphone''s sensors and processing capabilities, and semantic model to develop a semantically enriched digital prosthetic memory on smartphone. The proof-of-concept application called Semantic Lifelogging (SLOG) is developed to show the practicality of the proposed framework. The empirical evaluation has shown effectiveness of the methodology. In addition, future research directions are highlighted to help researchers in finding research topics.