1. The University of Sargodha Department of Physics has selected candidates for admission to the BS Physics program for the 2023 academic session.
2. The candidates must pay their dues by the prescribed deadline of August 23, 2023 or they will lose their right to admission.
3. The merit list was generated automatically and may contain errors, which the university reserves the right to correct.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
1. University of Sargodha
Department of Physics
The following candidates have been selected for admission to BS Physics For the academic Session 2023subject to the following conditions:-
1. Any candidate who is found at any time to have obtained admission by making any fake statement in the Admission Form or by willful concealment of any material fact
(particularly about marks, division, previous admission to the Department/College/Institute/Center or employment, expulsion, conviction; etc.) shall be dropped from the rolls
of the University.
2. Students shall pay their dues in theHabib Bank Limited by the prescribed date after obtaining necessary challan forms from the Department/College/Institute/Center office,
before the close of banking hours 23 Aug, 2023. Those who do not deposit their dues within this period shall lose their right to admission.
3. This merit list was generated through automated system. Errors/omissions are expected and the University reserves the right to correct any typographical error, omission, etc.
Number of Seats
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
1 2321002154 MUHAMMAD
FAWAD
TOTI KHAN Matric B.I.S.E
FSD
1100 1063 96.64 2020 No
Test
0 0 0 96.51
Pre-Medical 505 487 96.44 2023
2 2321034492 Tooba Batool Saleh
Muhammad
Matric F.B.I.S.E
ISB
1100 1058 96.18 2021 No
Test
0 0 0 95.62
Pre-Medical 505 481 95.25 2022 - annual
3 2321006147 Syed Faraz
haider Shah
Syed akhtar
Abbas shah
Matric B.I.S.E
SGD
1100 1092 99.27 2021 No
Test
0 0 0 95.36
ICS 510 473 92.75 2023 - annual
4 2321028190 Muhammad
safi ullah
Muhammad
Hayat
Matric B.I.S.E
SGD
1100 1053 95.73 2020 No
Test
0 0 10 95.34
Pre-Medical 1100 1056 96.00 2022 - annual
5 2321016946 MUHAMMAD
NAEEM
ABDUL
KARIM
Matric B.I.S.E
SGD
1100 1064 96.73 2020 No
Test
0 0 10 95.31
1st Merit List BS Physics (Regular And Self Support)
2. Pre-Medical 1100 1048 95.27 2022 - annual
6 2321022135 Asbaq Aziz Nazir Ahmad Matric B.I.S.E
SGD
1100 1066 96.91 2020 No
Test
0 0 10 95.16
Pre-Medical 1100 1044 94.91 2022 - annual
7 2321009793 Muhammad
Umer
Abdul
Hakeem
Matric B.I.S.E
SGD
1100 1029 93.55 2019 No
Test
0 0 10 94.97
Pre-Medical 1100 1065 96.82 2022 - annual
8 2321003753 Adeel Ahmer Muhammad
Ateeq
Matric B.I.S.E
SGD
1100 1027 93.36 2020 No
Test
0 0 0 94.62
Pre-Medical B.I.S.E
SGD
505 482 95.45 2023 - annual
9 2321023328 Aftab Mehdi Muntazir
Mehdi
Matric B.I.S.E
SGD
1100 1098 99.82 2021 No
Test
0 0 0 94.62
ICS 520 474 91.15 2023 - annual
10 2321028179 Bisma Asif Asif Nisar Matric B.I.S.E
SGD
1100 1036 94.18 2020 No
Test
0 0 10 94.29
Pre-Medical 1100 1048 95.27 2022 - annual
11 2321026887 Shehreen
Meharban
Meharban Matric B.I.S.E
SGD
1100 1032 93.82 2020 No
Test
0 0 10 94.20
Pre-Medical 1100 1049 95.36 2022 - annual
12 2321029788 Usman Sarfraz Sarfraz khan Matric B.I.S.E
FSD
1100 1050 95.45 2020 No
Test
0 0 10 94.09
Pre-Medical 1100 1035 94.09 2022 - annual
13 0797 farah sarfraz Sarfraz
Ahmad
Matric F.B.I.S.E
ISB
1100 1037 94.27 2020 No
Test
0 0 10 94.00
Pre-Medical 1100 1042 94.73 2022 - annual
14 2321018321 Hassan Ali Muhammad
Akram
Matric B.I.S.E
SGD
1100 1096 99.64 2021 No
Test
0 0 0 93.85
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
3. Pre-Engineering 520 468 90.00 2023 - annual
15 2321032663 Haseeb Ahsan
Ranjha
Fazal ahmad Matric B.I.S.E
SGD
1100 1049 95.36 2020 No
Test
0 0 10 93.79
Pre-Medical 1100 1030 93.64 2022 - annual
16 2321027947 Muhammad
Awais Umar
Umar draz Matric B.I.S.E
SGD
1100 1032 93.82 2020 No
Test
0 0 0 93.61
Pre-Medical 505 472 93.47 2023 - annual
17 2321034585 Alizay Eman
Zahra
Dawood
Ahmed
Tauseef
Matric B.I.S.E
SGD
1100 1045 95.00 2020 No
Test
0 0 10 93.58
Pre-Medical 1100 1029 93.55 2022 - annual
18 2321011219 Maryam
Safdar
Safdar Abbas Matric B.I.S.E
SGD
1100 1058 96.18 2019 No
Test
0 0 20 93.56
Pre-Medical 1100 1030 93.64 2021
19 2321004120 Laraib Fatima Muhammad
Hanif
Matric B.I.S.E
SGD
1100 1098 99.82 2021 No
Test
0 0 0 93.12
Pre-Engineering 520 461 88.65 2023 - annual
20 2321023790 Iqra Irshad Muhammad
Irshad
Matric B.I.S.E
SGD
1100 1082 98.36 2021 No
Test
0 0 0 93.12
Pre-Engineering 520 466 89.62 2023 - annual
21 2321008764 SADIA
FERZEEN
Maqsood
Hussain
Matric B.I.S.E
SGD
1100 1078 98.00 2021 No
Test
0 0 0 92.96
ICS 510 457 89.61 2023 - annual
22 2321006555 Maryam
Waheed
Waheed Ali Matric B.I.S.E
SGD
1100 1098 99.82 2021 - annual No
Test
0 0 0 92.89
Pre-Engineering 520 459 88.27 2023 - annual
23 2321015183 ALISHBA
MUBEEN
MUHAMMAD
ANWAR
Matric B.I.S.E
SGD
1100 1098 99.82 2021 - annual No
Test
0 0 0 92.68
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
4. Pre-Medical B.I.S.E
SGD
505 444 87.92 2023 - annual
24 2321008621 Asad Ali Muhammad
Yousaf
Matric B.I.S.E
SGD
1100 1048 95.27 2020 No
Test
0 0 10 92.66
Pre-Medical 1100 1010 91.82 2022 - annual
25 2321003541 Abdul
Rehman
Muhammad
Ameer
Matric B.I.S.E
SGD
1100 1096 99.64 2021 No
Test
0 0 0 92.58
Pre-Engineering B.I.S.E
SGD
520 457 87.88 2023 - annual
26 2321022310 KASHIF
ELLAHI
MUHAMMAD
SHANAZ
Matric B.I.S.E
SGD
1100 1096 99.64 2021 No
Test
0 0 0 92.58
Pre-Engineering 520 457 87.88 2023 - annual
27 2321013156 Maryam
Shabbir
Hafiz Ghulam
Shabbir Tahir
Matric B.I.S.E
GRW
1100 1018 92.55 2020 No
Test
0 0 10 92.44
Pre-Medical 1100 1026 93.27 2022 - annual
28 2321013373 Arooj Fatima Fiaz Akhtar Matric B.I.S.E
SGD
1100 1098 99.82 2021 No
Test
0 0 0 92.31
Pre-Engineering 520 454 87.31 2023 - annual
29 2321002251 Muzamil Rana MUHAMMAD
ARIF
Matric B.I.S.E
SGD
1100 1047 95.18 2020 No
Test
0 0 10 92.29
Pre-Medical 1100 1004 91.27 2022 - annual
30 2321009184 SEERAT
ZAHRA
SAFDAR
HUSSAIN
Matric F.B.I.S.E
ISB
1100 1033 93.91 2021 No
Test
0 0 0 92.25
Pre-Engineering 520 474 91.15 2023 - annual
31 2321025530 ahmed
abdullah
azhar
mahmood
Matric F.B.I.S.E
ISB
1100 1065 96.82 2021 No
Test
1.8 0 0 92.23
Pre-Medical 505 435 86.14 2022 - annual
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
5. 32 2321008842 SABA SHER MUHAMMAD
SHER
Matric B.I.S.E
SGD
1100 994 90.36 2020 No
Test
0 0 0 92.23
Pre-Medical 505 472 93.47 2023 - annual
33 2321028161 Nabila Nabila
Falak
Falak Sher Matric B.I.S.E
GRW
1100 1082 98.36 2021 No
Test
0 0 0 92.22
Pre-Medical 505 445 88.12 2023 - annual
34 2321025636 MUHAMMAD
ADNAN
Riaz ahmad Matric B.I.S.E
SGD
1100 1073 97.55 2021 No
Test
0 0 0 92.21
Pre-Engineering 520 461 88.65 2023 - annual
35 2321026061 Rida Fatima Muhammad
Atta Ullah
Matric B.I.S.E
SGD
1100 1100 100.00 2021 No
Test
0 0 0 92.16
Pre-Medical 505 439 86.93 2022 - annual
36 2321004813 Ayesha Riaz Muhammad
Riaz
Matric B.I.S.E
SGD
1100 1090 99.09 2021 No
Test
0 0 0 91.92
Pre-Medical 505 440 87.13 2023 - annual
37 2321031935 sara afzal Muhammad
Afzal
Matric B.I.S.E
SGD
1100 1088 98.91 2021 No
Test
0 0 0 91.84
Pre-Medical 505 440 87.13 2023 - annual
38 2321015161 Muhammad
Ramzan
Amjid Pervaiz Matric B.I.S.E
SGD
1100 1036 94.18 2020 No
Test
0 0 10 91.67
ICS 1100 1000 90.91 2022 - annual
39 2321024430 Ramisha Naz Muhammad
Afzal
Matric B.I.S.E
SGD
1100 1094 99.45 2021 No
Test
0 0 0 91.66
Pre-Medical 510 441 86.47 2022 - annual
40 2321006524 Muhammad
Shaheer
Suleman
Shafiq ur
rehman
Matric B.I.S.E
FSD
1100 1096 99.64 2021 No
Test
0 0 0 91.53
Pre-Medical 505 435 86.14 2023 - annual
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
6. 41 2321021651 Rabia Khaliq
Dad
Malik Khaliq
Dad
Matric B.I.S.E
SGD
1100 1089 99.00 2021 No
Test
0 0 0 91.52
Pre-Medical 505 437 86.53 2023 - annual
42 2321017878 Bilal Ahmad Najib Ullah
Siddique
Matric F.B.I.S.E
ISB
1100 1032 93.82 2020 No
Test
0 0 0 91.47
Pre-Medical 505 454 89.90 2023 - annual
43 2321009328 Muhammad
Umer Farooq
Muhammad
Touseef
Irshad
Matric B.I.S.E
SGD
1100 1096 99.64 2021 No
Test
0 0 0 91.41
Pre-Medical 505 434 85.94 2023 - annual
44 2321017344 NAILA
SHAFIQUE
MUHAMMAD
SHAFIQUE
Matric B.I.S.E
SGD
1100 1056 96.00 2021 No
Test
0 0 0 91.39
Pre-Engineering B.I.S.E
SGD
505 446 88.32 2023 - annual
45 2321021184 SOHAIL
IRFAN
IRFAN
SHOKAT
Matric B.I.S.E
GRW
1100 1002 91.09 2020 - annual No
Test
0 0 10 91.26
Pre-Medical B.I.S.E
GRW
1100 1015 92.27 2022 - annual
46 2321020177 Muhammad
Awais umar
UMAR DRAZ Matric B.I.S.E
SGD
1100 1032 93.82 2020 No
Test
0 0 20 91.23
Pre-Medical B.I.S.E
SGD
505 472 93.47 2021 - annual
47 2321007329 Ayeza Ifzal Ifzal Ahmad Matric B.I.S.E
SGD
1100 1089 99.00 2021 No
Test
0 0 0 91.13
ICS 510 438 85.88 2023 - annual
48 2321019101 MUHAMMAD
ATHAR
ABBAS
Muhammad
Abbas Bhatti
Matric B.I.S.E
SWN
1100 1094 99.45 2021 No
Test
0 0 0 91.11
Pre-Medical 505 432 85.54 2023 - annual
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
7. 49 2321017647 MUHAMMAD
HUSSNAIN
ABBAS
MUHAMMAD
ABBAS
Matric B.I.S.E
LHE
1100 1027 93.36 2018 No
Test
0 0 0 91.02
Pre-Medical with
Maths
1100 984 89.45 2023 - annual
50 2321010984 QURAT UL
AIN
MUHAMMAD
AFZAL
Matric B.I.S.E
SGD
1100 1078 98.00 2021 No
Test
0 0 0 91.00
Pre-Medical 505 436 86.34 2023
51 2321019483 Haider Ali Shamshad Ali Matric B.I.S.E
SGD
1100 1087 98.82 2021 No
Test
0 0 0 90.94
ICS 510 437 85.69 2023 - annual
52 2321030006 Sohaib Ahmad Noor Ahmad Matric B.I.S.E
SGD
1100 1083 98.45 2021 No
Test
0 0 0 90.94
Pre-Medical 505 434 85.94 2023 - annual
53 2321003962 Laraib Zahra Hafeez Ullah Matric B.I.S.E
SGD
1100 1060 96.36 2021 No
Test
0 0 0 90.93
Pre-Engineering B.I.S.E
SGD
520 454 87.31 2023 - annual
54 2321025297 Ray Um-E-
Hani
Ghulam
Shabir
Matric B.I.S.E
FSD
1100 1085 98.64 2021 No
Test
0 0 0 90.90
Pre-Medical 505 433 85.74 2022 - annual
55 2321029448 MUHAMMAD
IHTASHAM
ASIF
ASIF
NADEEM
Matric F.B.I.S.E
ISB
1100 1013 92.09 2021 No
Test
0 0 0 90.84
Pre-Engineering 520 468 90.00 2022 - annual
56 2321001756 Yumna Aziz Abdul Wahab Matric B.I.S.E
SGD
1100 1089 99.00 2021 No
Test
0 0 0 90.57
Pre-Medical 505 429 84.95 2023 - annual
57 2321007031 Yumna Aziz Abdul wahab Matric B.I.S.E
SGD
1100 1089 99.00 2021 No
Test
0 0 0 90.57
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
8. Pre-Medical 505 429 84.95 2023 - annual
58 2321016019 Ismaeel Khan Daud Khan Matric B.I.S.E
SGD
1100 1089 99.00 2021 No
Test
0 0 0 90.54
ICS 510 433 84.90 2023 - annual
59 2321016906 Abdul Manan Muhammad
Aslam
Matric B.I.S.E
SGD
1100 967 87.91 2018 No
Test
0 0 20 90.52
Pre-Medical B.I.S.E
SGD
1100 1035 94.09 2021 -
supplementary
60 2321031305 IQRA IQRA GHULAM
MUSTAFA
Matric B.I.S.E
SGD
1100 1090 99.09 2021 No
Test
0 0 0 90.49
Pre-Medical 505 428 84.75 2023 - annual
61 2321030130 ALIZZA
ZAFAR
ZAFAR IQBAL Matric B.I.S.E
GRW
1100 1096 99.64 2021 No
Test
0 0 0 90.46
Pre-Medical 505 426 84.36 2023 - annual
62 2321025929 Shereen
Ibrahim
Muhammad
Ibrahim
Matric B.I.S.E
DGK
1100 1094 99.45 2021 No
Test
0 0 0 90.43
Pre-Engineering 520 439 84.42 2022 - annual
63 2321013388 huzaifa
mehmood
mehmood
ahmed
Matric B.I.S.E
SGD
1100 1006 91.45 2020 No
Test
0 0 10 90.36
Pre-Engineering 1100 996 90.55 2022 - annual
64 2321022681 Faisal Raza Muhammad
Mumtaz
Matric B.I.S.E
SGD
1100 998 90.73 2019 No
Test
0 0 10 90.18
Pre-Engineering 1100 998 90.73 2022 - annual
65 2321014905 Aniqa Aslam
Muhammad
Aslam
Muhammad
Aslam
Matric B.I.S.E
SGD
1100 1009 91.73 2020 No
Test
0 0 0 90.16
Pre-Medical 505 450 89.11 2022 - annual
66 2321021305 sabiha qayum Abdul Qayum Matric B.I.S.E
SGD
1100 1080 98.18 2021 No
Test
0 0 0 90.15
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
9. Pre-Engineering 520 441 84.81 2023 - annual
67 2321010048 Eman Abbas Ghulam Abbas Matric B.I.S.E
SGD
1100 1075 97.73 2021 - annual No
Test
0 0 0 90.09
Pre-Engineering B.I.S.E
SGD
520 442 85.00 2023 - annual
68 2321005551 Zameer Abbas Sher
Muhammad
Matric B.I.S.E
SGD
1100 1084 98.55 2021 No
Test
0 0 0 90.07
Pre-Engineering 520 439 84.42 2023 - annual
69 2321013363 Naba Ramzan Muhammad
Ramzan
Matric B.I.S.E
SGD
1100 1092 99.27 2021 No
Test
0 0 0 90.02
Pre-Engineering 520 436 83.85 2023 - annual
70 2321016924 Abdul
Mustaqeem
Nasruullah Matric B.I.S.E
SGD
1100 1079 98.09 2021 No
Test
0 0 20 90.01
Pre-Engineering B.I.S.E
SGD
520 460 88.46 2021 - annual
71 2321013991 Muhammad
Naveed
Abdul
Rasheed
Matric B.I.S.E
DIK
1100 1048 95.27 2021 No
Test
0 0 0 89.93
Pre-Engineering 550 475 86.36 2023 - annual
72 2321012368 Areeka
Naveen
Nasir
Mehmood
Matric B.I.S.E
RWP
1100 1024 93.09 2020 No
Test
0 0 10 89.88
Pre-Medical 1100 975 88.64 2022 - annual
73 2321007866 SABA SHER MUHAMMAD
SHER
Matric B.I.S.E
SGD
1100 994 90.36 2020 No
Test
0 0 20 89.85
Pre-Medical 505 472 93.47 2021 - annual
74 2321014924 AZKA
MASOOD
MUKHDOOM
MUHAMMAD
MASOOD
Matric B.I.S.E
SGD
1100 1002 91.09 2020 No
Test
0 0 0 89.79
Pre-Medical 505 449 88.91 2023 - annual
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
10. 75 2321028562 SHIFA
YOUSAF
MUHAMMAD
YOUSAF
Matric B.I.S.E
SGD
1100 1096 99.64 2021 No
Test
0 0 0 89.75
Pre-Medical 505 420 83.17 2023 - annual
76 2321006942 MUHAMMAD
ADIL TAYYAB
MALIK KHAN Matric B.I.S.E
GRW
1100 1043 94.82 2021 No
Test
0 0 0 89.74
Pre-Engineering 520 449 86.35 2023 - annual
77 2321019468 Asad Noman MUHAMMAD
ZAFAR
Matric B.I.S.E
GRW
1100 1059 96.27 2021 No
Test
0 0 0 89.72
Pre-Medical 505 431 85.35 2022 - annual
78 2321009102 Saira Yasmeen Ghulam
Muhammad
Matric B.I.S.E
SGD
1100 982 89.27 2020 No
Test
0 0 10 89.71
Pre-Engineering 1100 1000 90.91 2022 - annual
79 2321010530 WASEEM
ULLAH
KAREEM
BAKHSH
Matric B.I.S.E
SGD
1100 1083 98.45 2021 No
Test
0 0 0 89.57
Pre-Engineering 520 435 83.65 2023
80 2321005557 muhammad
tufail khan
FATEH
ULLAH KHAN
Matric B.I.S.E
DIK
1100 987 89.73 2020 No
Test
0 0 10 89.56
Pre-Medical B.I.S.E
DIK
1100 994 90.36 2022 - annual
81 2321026806 Mobeen Ajmal
Mobeen Ajmal
Mobeen Ajmal
Muhammad
Ajmal
Matric B.I.S.E
SGD
1100 1083 98.45 2021 - annual No
Test
0 0 10 89.52
Pre-Medical B.I.S.E
SGD
505 432 85.54 2022 - annual
82 2321012859 ATIF RIAZ GHULAM
MUHAMMAD
Matric B.I.S.E
SGD
1100 997 90.64 2019 No
Test
0 0 20 89.49
Pre-Medical 1100 996 90.55 2021 - annual
83 2321026504 Hamna Sajid Sajid muneer Matric B.I.S.E
SGD
1100 1074 97.64 2021 No
Test
0 0 0 89.31
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing
11. Pre-Medical 505 423 83.76 2023 - annual
84 2321015770 SABIHA
IRSHAD
MUHAMMAD
IRSHAD
Matric B.I.S.E
SGD
1100 1080 98.18 2021 No
Test
0 0 0 89.29
Pre-Engineering 505 421 83.37 2023 - annual
85 2321020547 Jaweria gulzar
o
Hafiz
Muhammad
Gulzar
Matric B.I.S.E
SGD
1100 1083 98.45 2021 - annual No
Test
0 0 0 89.28
Pre-Medical B.I.S.E
SGD
505 420 83.17 2023 - annual
86 2321034553 Roshaan
Mahanil
Khalid
Masood
Matric F.B.I.S.E
ISB
1100 1056 96.00 2021 No
Test
0 0 0 89.25
Pre-Medical 505 428 84.75 2022 - annual
87 2321005326 Umme Rubab Zulfiqar
Ahmad
Matric B.I.S.E
SGD
1100 1091 99.18 2021 - annual No
Test
0 0 0 89.17
Pre-Engineering B.I.S.E
SGD
520 429 82.50 2023 - annual
88 2321008289 GHAZANFAR
ALI
RAZA
MUHAMMAD
Matric B.I.S.E
SGD
1100 1021 92.82 2020 No
Test
0 0 10 89.11
Pre-Engineering 1100 963 87.55 2022 - annual
89 2321029622 Kashaf Liaqat Liaqat Ali Matric B.I.S.E
FSD
1100 1085 98.64 2021 No
Test
0 0 0 89.11
Pre-Medical 505 418 82.77 2023 - annual
90 2321005936 Sabira Batool Muhammad
Fayaz
Matric B.I.S.E
SGD
1100 1085 98.64 2021 No
Test
0 0 0 89.07
Pre-Engineering 520 430 82.69 2022 - annual
Sr.
#
Form # Name of
Candidate
Father Name Examination Passed
Test
Hafiz Add.
Marks
Ded.
Marks
Merit
Degree Board Total
Marks
Obtained
Marks
Percentage Year of Passing