phd computer science in pakistan

PhD Computer Science

About the PhD Computer Science

The CS department of the Institute of Business Administration is offering graduate studies leading to PhD degree in Computer Science with a variety of specializations including Artificial Intelligence (AI), Human Computer Interaction (HCI), Information and Communication Technology (ICT), Management Information Systems (MIS), among others.

The CS PhD program aims at encouraging those graduate scholars who can make a significant contribution to their field through original research. The various stages in the program are meant to ensure a thorough knowledge of their broader discipline. Quantitative and qualitative research capabilities are encouraged and interdisciplinary research along with interaction with the local industry is considered very positively.

The CS PhD program motivates independence and originality of thought in the research process. The PhD program at IBA expects that not only will graduates display excellence in their field of research but that the discipline, research and professional competences they develop from their program will be very highly regarded by national and international employers. To achieve this, scholars are expected to immerse themselves in research in order to develop a strong and vibrant research culture at the institute.

Message from Chairperson

Welcome to the Department of Computer Science at the IBA, Karachi. Over the years we have grown into the second biggest department within IBA and our students have achieved commendable achievements not only in the curricular activities and the co-curricular domain. The Department of Computer Science at the IBA, Karachi offers bachelor, master, and PhD programs. These programs provide strong attributes of curiosity, research, critical thinking, and content knowledge amongst our students. The BS(CS) programs also focus on establishing mastery of skills in design and development of software, devising new ways to use computers, developing effective ways to solve computing problems, and determining the requirements for an organization's information systems. During the years of study at IBA, students are encouraged to foster these skills through various research-based courses, industrial projects, independent study works, and final year projects. Based on these reasons, the employability factor of our BS(CS) and MS(CS) students has been highest for the past few years, as compared to any other department of IBA. read more...

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Mission Statement

The mission of the Computer Science, doctoral programme at SZABIST is to provide students with the knowledge, skills, and intellectual habits required for successful careers in research, teaching, and professional service. The programme places primary emphasis on the development of research competence and also emphasizes teaching as a vehicle to academic professionalism, resulting in strengthening of the nexus between Teaching and Research. The doctoral programme is integral to the Department mission of furthering its status as a premier CS department.

SZABIST offers an individualized, strongly research-oriented Ph.D. (Computer Science) programme. Key objectives are to train the PhD candidates to become independent researchers and leaders of academia and industries. This programme allows students to pursue cutting edge research in modern fields of computer science. Successful candidates are expected, to demonstrate a mastery of their discipline, to disseminate existing knowledge, to significantly advance the state of knowledge and to accurately present research in writing. The nature of the student’s research programme must be on a scale which can be completed during three to four years of full-time study or equivalent.

Research Topics

Computer Science faculty has a wide range of research interests including but not limited to Database Engineering, Data Warehousing & Mining, Networking & Communication, Business Intelligence, Telecommunication, Artificial Intelligence, Software Engineering, Theoretical Computer Sciences, Distributed Computing, Machine Vision & Image Processing.

Admission Requirements

For admission to the PhD Program, the candidate must have:

A 17.5 – 18 years of education with minimum 60% marks /CGPA 3.00 from any HEC-recognized university in the relevant field of study.

GAT Subject with minimum 60% score.

An entrance test and group discussion / interview are mandatory for all applicants at SZABIST.

Degree Requirements

Minimum requirements for Ph.D. are as follows:

GAT Subject Test/GRE International . The minimum acceptable scores are as follows:

60% Percent Score: Valid for admissions thereafter

A total of 48 credit hours must be completed.

18 credit hours of Ph.D. course work.

30 credit hours of Ph.D. dissertation. Includes (3 credit hours of Qualifying examination).

Ph.D. level course work of at least 18 credit hours followed by a Comprehensive Examination. This includes a minimum of 6 credit hours of Independent Study.

Ph.D. Comprehensive Examination is used to assess a student’s course and general knowledge of proposed research area.

Ph.D. Qualifying Examination will constitute the Ph.D. research proposal, which must be presented and defended before the Doctoral Committee.

An open defense of Dissertation is essential for the award of Ph.D. degree.

Acceptance/publication of at least one research paper in an HEC approved “X” category journal is essential for the award of Ph.D. degree.

The Ph.D. Dissertation is evaluated by at least two Ph.D. experts from technologically/academically advanced foreign countries in addition to local Committee members.

Computer Science

Department info.

Department of Computer Sciences Street # 09, Plot # 67 Sector H-8/4, Islamabad, Pakistan

051-4863363-65 szabist-isb.edu.pk

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CIS PhD Programme

Your tomorrow should be built on your research passion. Start your PhD journey by finding the research projects that best suit you.  

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Department of Computer Science

Contact no: +92919216732 email: [email protected], introduction.

The Department of Computer Science at the University of Peshawar, one of the prestigious public-sector universities of Pakistan, is a seat of higher learning in Computer Science in Pakistan. Established in 1985, it is oldest public sector institution of Computer Science education in the province of Khyber Pakhtunkhwa and one of the oldest in Pakistan. As the founding institution for Computer Science education in Khyber Pakhtunkhwa, the Department of Computer Science has played a pioneering role in the advancement of Computer Science education and growth of IT sector in the province. The contributions by the department in this respect have been wide-ranging and pervasive. Some of such contributions include a leading role in the design and implementation of secondary and tertiary-level educational programs and curricula, supporting relevant ministries and bodies in the province in structuring and regulating Computer Science education in Khyber Pakhtunkwa, and assisting the government in the formulation and execution of IT policy for the province. Besides, the department has closely worked with national-level organizations for higher education to strengthen overall research and academics in universities.

The department has maintained strong links with industry to explore joint ventures and has produced a large alumnus that can be found working in industry, academics, and research within the country and many parts of the world.

The Department of Computer Science is housed in an elegant, classical-style building at a close distance to Road Number 2 and adjacent to the teachers students center (TSC). With the front to Road Number 2, it overlooks the scenic botanical garden that gives it an exquisite look. The department is served by a good number of foreign-qualified faculty that is actively involved in research on current topics in computer science. Some areas of research at the Department of Computer Science are Semantic-Web/Web-Engineering, Software Engineering, Data Ware Housing and Data Mining, Computer Networks, Image Processing and Computer Vision, and Natural Language Processing. The department offers Master (by research), Ph. D., and the conventional MSc. (master by coursework) programs in Computer Science. Its Bachelor of Computer Science (BCS) program is one of the best in the country. The Department has internal library with a good supply of books and well-equipped and well-furnished laboratories. Access to major research journals and other resources is available through HEC and university subscribed links and accounts.     

Vision & Mission

The department seeks to acquire the highest standard in research and academics. The unending mission of the department is to keep acquiring resources and capacities to equip students for high-end research and industry-level job-demand. The aim thus is to generate knowledge and impart skills that will enable students in their career goals and benefit the society at large in terms of adequate supply of skilled work-force and new ideas for solving problems. The department has the following vision to achieve this aim.

• Strengthening research and academics through up to date curricula, adequate infrastructure, well-qualified faculty, academic and research collaboration with other universities both within and outside the country, and arrangement of conferences, symposia, and conferences.
• Collaboration with industry and market-sector. Collaboration with industry brings rich dividend and is beneficial both ways. It helps universities assess industry needs and identify gaps in industrial practices and process and industry to identify skills and knowledge to tape to improve their practices. The department will strengthen its links with industry.
• Focus on local needs and problems. Use of technology pervades all aspects of our lives yet effective use of information technology still evades local businesses, organizations, and market sector.  The reason for this is, organizations have rules and practices local to our society. Most of the research unfortunately targets the needs and problems of industrialized societies. The department will gear its research to local needs and problems.

Seminars, job fairs, and career-counselling provide important opportunities for students to target potential employers and employers to target potential human resource. The department will intensify job-fairs, seminars, and related activities and attract reputed firms and companies to enable contacts between students and potential employers.

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Department of Computer Science was established in the year 2000 under the Faculty of Sciences. The department had developed curricula of the academic programs at various levels to meet the national and international standards as defined by Higher Education Commission. The curricula include PhD (Computer Science), MS (Computer Science), BS (Computer Science) and Post Graduate Diploma (PGD) in Computer Science.

Introduction

The department practices the multi-method (hybrid) teaching methodology i.e. face-to-face regular classes for BS (Computer Science) and MS (Computer Science) with the blend of e-learning mode. The facilities of Aaghi Learning Management System, Video and Teleconferencing are in use for lectures/consultations in research-oriented degree at MS and conducting professional courses at BS level. The online methodology is also practiced for PGD (Computer Science). In addition, the department also has a flavor of imparting knowledge of BS (CS) to the masses in selected regions including LAHORE and MULTAN through modern ICT based delivery mechanisms.

BS (CS) Project:  (https://aiou.edu.pk/csproject)

•     To produce dynamic young professionals for Computer Science discipline by developing strong academic foundation.
•     To equip students with computer science knowledge and skills so as to cope with the social, economic, scientific, and technological challenges.
•     To utilize e-learning platforms for outreach to rural and remote areas.
•     To provide a leadership support in ICT based education in Pakistan.
•     To disseminate an appreciation of the current state and future directions of technological advances in the areas of Computer Science.

Academic Facilities

The department is equipped with state-of-the-art e-classrooms and computer labs including programming and hardware labs. A video conferencing based digital class room is also available for the delivery of online lectures. Besides graduate and undergraduate teaching, the department is actively involved in research and development activities, for this purpose research lab is also available.

PGD (Computer Science)

Bs (computer science), ms (computer science), phd (computer science), future plans.

It is envisioned that the department will:

• extend the BS (CS) to further regions
• offer skilled-based High-Tech courses
• strengthen the pool of specializations
• collaborate with national and International organizations
• partner with industry through Industry Advisory Board

Contact Details

Department of computer science, chairperson, dr saleem iqbal.

Faculty & Staff Members

Dr aftab khan.

Dr Moiz Uddin Ahmed Siddiqui

Dr Muhammad Arshad Awan

Mr Mohammad Qasim Khan

Chaudhary Muhammad Shahbaz Anjum

Mr Tahir Javed

Ms Sana Nasim

Mr Basit Ismail

The Allama Iqbal Open University was established in May, 1974, with the main objectives of providing educational opportunities to masses and to those who cannot leave their homes and jobs. During all these past years, the University has more than fulfilled this promise.

100 Best universities for Computer Science in Pakistan

Updated: February 29, 2024

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Below is a list of best universities in Pakistan ranked based on their research performance in Computer Science. A graph of 1.71M citations received by 159K academic papers made by 104 universities in Pakistan was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. COMSATS Institute of Information Technology

For Computer Science

2. National University of Sciences and Technology

3. Quaid-i-Azam University

4. University of the Punjab

5. National University of Computer and Emerging Sciences

6. Information Technology University

7. University of Engineering and Technology, Lahore

8. International Islamic University, Islamabad

9. University of Engineering and Technology, Taxila

10. University of Karachi

11. Aga Khan University

12. Pakistan Institute of Engineering and Applied Sciences

13. Lahore University of Management Sciences

14. Bahria University

15. Islamia University of Bahawalpur

16. University of Management and Technology - Lahore

17. University of Engineering and Technology, Peshawar

18. Bahauddin Zakariya University

19. Abdul Wali Khan University Mardan

20. University of Agriculture, Faisalabad

21. Air University

22. University of Peshawar

23. Government College University, Faisalabad

24. University of Science and Technology, Bannu

25. Riphah International University

26. University of Lahore

27. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

28. Mehran University of Engineering and Technology

29. NED University of Engineering and Technology

30. Iqra University

31. University of Gujrat

32. Government College University, Lahore

33. University of Sargodha

34. Mohammad Ali Jinnah University

35. Hazara University

36. Institute of Space Technology

37. University of Malakand

38. Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology

39. DOW University of Health Sciences

40. University of Sindh

41. Sukkur Institute of Business Administration

42. Islamia College Peshawar

43. University of Central Punjab

44. HITEC University

45. University of Education - Pakistan

46. Pir Mehr Ali Shah Arid Agriculture University

47. National College of Business Administration and Economics

48. National University of Modern Languages

49. University of Azad Jammu and Kashmir

50. Hamdard University

51. Kohat University of Science and Technology

52. National Textile University

53. Sir Syed University of Engineering and Technology

54. Quaid-e-Awam University of Engineering, Science and Technology

55. Gomal University

56. Federal Urdu University of Arts, Sciences and Technology

57. Karachi Institute of Economics and Technology

58. Fatima Jinnah Women University

59. Lahore College for Women University

60. Mirpur University of Science and Technology

61. Balochistan University of Information Technology, Engineering and Management Sciences

62. University of Balochistan

63. University of Veterinary and Animal Sciences

64. Institute of Business Administration

65. Foundation University Islamabad

66. King Edward Medical University

67. University of Haripur

68. Sarhad University of Science and Information Technology

69. Ziauddin University

70. University of Agriculture, Peshawar

71. Indus University, Pakistan

72. Shaheed Benazir Bhutto University, Shaheed Benazirabad

73. Pakistan Institute of Development Economics

74. University of Wah

75. Isra University

76. Forman Christian College

77. University of Swat

78. Lahore School of Economics

79. Abasyn University

80. Karakurum International University

81. University of Health Sciences, Lahore

82. Rawalpindi Medical University

83. Khyber Medical University

84. Shah Abdul Latif University

85. Sindh Madresatul Islam University

86. Jinnah University for Women

87. Kinnaird College for Women

88. DHA Suffa University

89. Bacha Khan University

90. Jinnah Sindh Medical University

91. Baqai Medical University

92. National Defence University

93. Shaheed Benazir Bhutto Women University

94. Preston University

95. Lahore Leads University

96. Liaquat University of Medical and Health Sciences

97. Sindh Agriculture University

98. Dawood University of Engineering and Technology

99. Fatima Jinnah Medical University

100. Government Sadiq College Women University, Bahawalpur

The best cities to study Computer Science in Pakistan based on the number of universities and their ranks are Islamabad , Lahore , Taxila , and Karachi .

Computer Science subfields in Pakistan

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Syed Babar Ali School of Science and Engineering

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The Department of Computer Science at LUMS offers a rigorous undergraduate education. Our goal is to deliver CS education that is at par or better than the world’s finest educational institutions. Our program not only prepares our students for careers in leading companies but also in carrying our world-class research. LUMS CS students have been consistently placed in leading companies across the world including Google, Microsoft, Facebook, and Amazon and receive fully-funded graduate admission offers from the most prestigious universities in the world including MIT, Stanford University, UC Berkeley, CMU, UIUC, UT Austin and many others. For the last many years we have had 100% success rate for graduate admissions and job placements. As CS education is important in many other disciplines, we believe in imparting broad-based education to our students. Thus, in addition to CS courses, the students could take as many as ten courses from other departments including Management, Economics, Law, Biology, Mathematics and others, thus broadening their horizon in multiple disciplines.

A Different Kind of

Science and Engineering School in Pakistan

Square feet of lab and classroom learning space

Dedicated labs for research, teaching and support

Accredited by

PEC and NCEAC

Computer Science Faculty

Science for Pakistan

Contribution in Science and Technology by the researchers at SBASSE has an impact on the future development of Science in Pakistan.

Meet our Faculty

At SBASSE our faculty members share the boundaries of their life experiences and interests that foster a dynamic learning environment on campus.

Choose your path

Research stories.

کیا ہم کمپیوٹر اور موبائل ایپلی کیشنز کی سست روی اور زیادہ میموری کے تقاضے سے پریشان ہیں؟

لمز سکول آف سائنس اینڈ انجینیئرنگ میں پی ایچ ڈی کمپیوٹر  سائنس کی طالبہ عاطرہ انعم احمد کی شاندار تحقیق ، جو اس پریشانی کا حل تلاش کرنے میں معاونت فراہم کرتی ہے۔ عاطرہ نےحال ہی میں قابلِ تحسین تحقیقی نتائج کی بنیاد پر اپنے  فائنل تھیسز  کا کامیاب دفاع کیا۔

ہم جانتے ہیں کہ  کمپیوٹرز ہارڈویئر اور  سافٹ ویئر  کا امتزاج ہیں ۔لیکن سافٹ ویئر انجینئرنگ 1  کے مروجہ طریقے( جیسے کوڈ کا دوبارہ استعمال اور یکسانیت)   سافٹ ویئر کے سائز ،پیچیدگی ، حفاظتی کمزوریوں اور خرابیوں کے امکانات میں نمایاں اضافہ کردیتے  ہیں ۔  مزید برآں یہ طریقے  سافٹ ویئر کی کارکردگی اور وثوق کوبھی  کم کرتے ہیں۔ یہ صورتحال سافٹ ویئر بلوٹ 2  کے مسئلے کا بنیادی سبب ہے، جو میموری 3  میں وسائل کے ضیاع کا باعث بھی  ہے۔  سافٹ ویئر  بلوٹنگ کے عارضے  کے تدارک کے لیے موجود ہ متعدد جدید ترین  طریقہ کار کو بادی النظر  میں دو گروہوں  میں تقسیم کیا جا سکتا ہے۔ ایک وہ  جنھیں تحریری طور پر اعلیٰ سطحی تفصیلی تصریحات مثلاً ٹیسٹ کیسز 4 کی ضرورت ہوتی ہے ۔ یہ طریقہ کار صارفین کے لیے بوجھل اور غیر موزوں ہو سکتے ہیں۔ دوسرے وہ  طریقےہیں جو   تشکیلاتی معلومات 5 واضح کرنے کے لیے سطر الامر دلائل (کمانڈ لائن آرگیومنٹس 6 ) کا استعمال کرتے ہیں۔ ان کوایپلی کیشن کے کوڈ میں مستقل 7  کے طور پر پھیلاتے ہیں اورڈیڈ کوڈ کو  حذف کرتے ہیں جو  مستقلات موجود ہونے پر عمل میں نہیں آتا ہے ۔ اس کےپیش نظر عاطرہ کی تحقیق مندرجہ ذیل نکات پر مرکوز ہے: اول:تحقیق میں یہ استدلال کیا گیا ہے کہ جدید ٹولز میں استعمال ہونے والے طریقہ کار، ڈیڈ کوڈ کے خاتمے کے معاملے میں غیر موثر ہیں ۔ کیونکہ وہ سیاق و سباق سے بے نیاز ہو کر کوڈ  میں مستقل کو پھیلا دیتے ہیں۔ لہذا عاطرہ کے کام میں سیاق و سباق کی  حساسیت پر مبنی    خفیف مستقل پھیلاؤ 8 متعارف کرایا گیا ، جو صرف تشکیلاتی معلومات کے حامل متغیرات کے لیے مستقلات کی افزائش کرتا ہے ۔ دوم: جدید ٹولز جامد تشکیلاتی فائل 9  سے قطع نظر یا توصرف سطر الامر دلائل 10   پر انحصار کرتے ہیں یاایسی فائل سے نمٹنے کے لیے دستکارانہ طریقہ فراہم کرتے ہیں۔ اس مسئلے کو حل کرنے کے لیے   خودکار فائل آئی /او تخصص 11  کی تجویز پیش کی گئی ،  یعنی، فائل میں جامد تشکیلاتی  معلومات  کوڈ میں مستقل کے طور پر اٹھائی جائے۔ یہ طریقہ کار فائل کا تجزیہ کرنے والے کوڈ کو آسان بناتا ہے اور  ڈید کوڈ کو حذف کر دیتا ہے ۔   سوم: خود کار انداز سے کوڈ سائز میں کمی کے سلسلے میں تخصص کے فوائد دینے والےافعال کی نشاندہی  کے لیےڈیپ لرننگ  کے طریقے 12 تجویز کیے گئے  ہیں۔اس ضمن میں  تخصص  سے وابستہ افعال کی دو اقسام پر مبنی ایک تربیتی  ڈیٹاسیٹ 13  تیار کیا جائے گا ۔ صارف اپنے ماڈل کو اس ڈیٹاسیٹ پر تربیت دے کر ایپلی کیشنز میں قابل تخصیص اورنا  قابل تخصیص افعال کی پیش گوئی کر سکیں گے۔ عاطرہ نے ٹرمر 14  پر سیاق و سباق کی خفیف حساسیت اور فائل آئی / او تخصص کو نافذ کیا ۔ انھوں نے 20  لینکس  یوٹیلیٹیز 15    (بشمول جامد تشکیلاتی  فائلز کے متقاضی چھے بینچ مارکس)پر  اپنی مجوزہ سفارشات کو پرکھا ۔  یہ  سفارشات ،سیاق و سباق کی حساسیت اور غیر حساسیت کے مقابلے میں، مشترکہ حفاظتی خطرات کو دور کرنے کے ساتھ ساتھ کوڈ کے سائز میں اوسطاً زیادہ کمی فراہم کرتی ہیں ۔ عاطرہ کے نزدیک پی ایچ ڈی آسان نہیں۔ یہ منصوبہ  وقت طلب ہے۔ یہ صرف محنت یا ذہانت نہیں ہے بلکہ یہ کثیر تبادلہ خیال، مستقل مزاجی، وجوہات کی کھوج میں طویل اوقات کام کرنے، دباؤ محسوس کرنے، کئی بار ناکام ہونے اور دوبارہ کھڑے ہونے کے بارے میں ہے۔ بعض اوقات، آپ کو اپنی ذاتی ترجیحات، خاندان اور دوستوں کو نظر اندازبھی کرنا پڑتا ہے۔ الغرض صورت حال کچھ بھی ہو، اس سفر میں ثابت قدمی اور انتہائی بلند حوصلے کی ضرورت ہوتی ہے۔ وہ اپنے اس کامیاب سفر کے لیے لمز سکول آف سائنس اینڈ انجینیئرنگ کےقابل  اساتذہ ، معاون عملے اور حوصلہ افزا ساتھیوں کی تہہ دل سے مشکور ہیں۔ آج کل عاطرہ ایک پرائیوٹ یونیورسٹی میں لیکچرار کی خدمات سرانجام دے رہی ہیں ۔  وہ مستقبل میں شعبہ تعلیم سے وابستہ رہنے اور معیاری  تحقیق شائع کرنے کی متمنی ہیں۔   

•  Software Engineering
•  Software Bloat
• Computer Memory
•  Test Cases
•  Configuration Information
• Command-Line Arguments
• Sparse Constant Propagation
• Static Configuration File
• Command Line Arguments
• Automated File I/O Specialization
• Deep Learning
• Training Dataset
• TRIMMER - a configuration-driven code debloating tool
• Linux Utilities  

ڈیپ فیک : فہم یا وہم

بلاشبہ ٹیکنالوجی انسانی زندگیوں میں آسانی، علم و ہنر میں ترقی اور ترویج کا باعث ہے لیکن اس کے معاشرے میں بڑھتے  مضر اثرات سے انکار نہیں کیا جا سکتا۔ کیا  زبان زد عام مصنوعی ذہانت خصوصاً ڈیپ فیک کا منفی استعمال واقعی انسانی سوچ اور  رویوں میں تبدیلی لا نے کی سکت رکھتا ہے؟ اس موضوع پر لمز میں جاری یہ تحقیق ۳ مرتبہ بین الا قوامی میٹا  انٹیگرٹی ایوارڈ اپنے نام کرنے میں کامیاب ہوئی

اس کہانی کا آغاز سردیوں کی ایک  دوپہر میں ہوا جب  لمز کے تین ساتھی  ،ڈاکٹر  آغا علی رضا  ، ڈاکٹر عائشہ علی، اور  ڈاکٹر احسان ایوب قاضی  اپنی اپنی تحقیق  پر تبادلہ خیال کر رہے تھے ۔ ڈاکٹر عائشہ اور  ڈاکٹر احسان نے ڈیجیٹل خواندگی اور  گمراہ کن معلومات اور اطلاعات کے عوام پر اثرات سے متعلق اپنے کام کا ذکر کیا۔   اس دوران ڈاکٹر  آغا نے اپنے ساتھیوں کو اپنا ایک سافٹ ویئر 1  دکھایا جو تحریر کو تقریر میں بدلنے کی صلاحیت کا حامل تھا۔ انھوں نے اس تکنیک کے ذریعے تحریر کو ایک معروف  ادبی شخصیت کی آواز میں منتقل کرکے اصل اور نقل کی پہچان کرانے کا تجربہ کیا تھا۔  یوں گفتگو کے دوران ان ساتھیوں کو مل کر  کام کرنے کا خیال آیا اور  باہمی مشاورت سے اس کام کو با ضابطہ تحقیق کے طور پر آگے بڑھانے کا عمل  شروع ہوا ۔ سن  ۲۰۱۹ء میں ڈاکٹر عائشہ اور  ڈاکٹر احسان نے  پہلی بار   میٹا  انٹیگرٹی ایوارڈ    جیتا ۔  سن ۲۰۲۰ء اور ۲۰۲۳ء میں اس انعام کی جیت اسی تحقیقی سلسلے کی اہم  کڑی ہے ۔   ۲۰۱۹  میں پیش کیے جانے والے کام کا بنیادی مقصد پاکستان کے لوگوں میں ڈیجیٹل خواندگی کو جانچنا اور تدریسی و تعلیمی سرگرمیوں کے ذریعے ترقی پذیر ممالک کے  لوگوں میں ممکنہ طور پر غلط معلومات اور اطلاعات کی شناخت کی صلاحیت کو بہتر بنانا  تھا۔   ڈاکٹر عائشہ کے مطابق ایسی افواہوں اور معلومات کے پھیلاؤ کو روکنے کے لیے نشریاتی پابندیوں کا بھی استعمال کیا جا سکتا ہے لیکن اس لائحہ عمل کے برعکس ان کی توجہ صارفین کو ذی شعور اور صاحب فہم و ادراک بنانے پر مرکوز  رہی۔ اس ضمن  میں  ایک ہزار  گھرانوں  کا انتخاب کر کے آر سی ٹی ٹیسٹ کیےگئے۔  ڈیجیٹل خواندگی کو جانچنے اور   مختلف عوامل کے حقیقی  محرکات کا، اتفاقات کی بجاۓ عملی  شواہد کی بنیاد پر ،تعین کرنے کے لیے بنیادی طور پر مقداری تشخیص 2 کا استعمال کیا  گیا ۔ صنف ، آمدنی ، اور عمر کے  ڈیجیٹل خواندگی اور  گمراہ کن معلومات کی صلاحیتِ نشاندہی پر اثرات سے متعلق تجزیہ کیا گیا۔ نیز رویوں سے متعلق ڈیجیٹل گیمز  کے ذریعے حقائق کی پڑتال کے لیے موجود خدمات 3 کی طلب میں کمی یا بیشی پر کیفیاتی تجزیات بھی کیے گئے۔ اس تحقیق سے ثابت ہوا کہ لوگوں میں  ڈیجیٹل خواندگی میں کمی ان کے گمراہ کن معلومات سے متاثر ہونے کے امکانات سے براہ راست نسبت رکھتی ہے۔ ڈاکٹر آغا کی ٹیم میں شمولیت کے بعد  اس  تحقیقی سلسلے کو  تکنیکی  تناظر میں مزید  آگے بڑھایا گیا۔    ۲۰۲۰ میں پیش کی جانے والی سفارشات میں  گمراہ کن معلومات خصوصاً ڈیپ فیک 4  کے لوگوں   کے رویوں پر اثرات  کو پرکھنا، انکے سیاسی نظریات کے بدلاؤ  اور  معاشرتی تقطیب 5 میں ایسی معلومات کے کردار کی تصدیق کرنا ،شامل تھا۔ اس تحقیق کے نتائج  سے گمراہ کن معلومات کے ابتدائی  و ارتقائی عوامل کی شناخت   اور انسانی رویوں  پر اس کی قوت اثر واضح ہو گئی ۔ اب اگلا  قدم صارفین کو ایسی ضرر  رساں یا گمراہ کن معلومات کی نشاندہی کے لیے  با صلاحیت بنانا تھا۔ ۲۰۲۳  میں اس  ایوارڈ کا محور موثر قیمت اور قابل افزائش ڈیجیٹل تدریسی سفارشات کی تشکیل ہے جوعام صارفین میں ڈیجیٹل خواندگی کو بہتر بنا سکیں ۔ڈاکٹر آغا کے مطابق  اس ضمن میں ٹیم کے  پیش نظر دشوار امر یہ ہے کہ جب لوگوں میں ڈیپ فیک اور اس سے منسوب  تدلیس و تلبیس کا شعور اجاگر کرنے کی کوشش کی جاتی ہے تو  عموماً وہ صحیح چیز کو پہچاننے میں بھی تذبذب کا شکار ہو جاتے ہیں اور ہر چیز کو ہی غلط سمجھنے لگتے ہیں۔ اس طرح بجائے فائدے کے ، الٹا نقصان ہونے کا خدشہ ہے۔  لوگوں کو با شعور بنانے کی  یہ کاوش ترقی پذیر ممالک کی کم ڈیجیٹلی خواندہ آبادی پر مرکوز ہے۔ حکمت عملی کے تحت  مستند اور معتبر ذرائع سے  نشان زدہ معلومات کا استعمال کر کے تین بنیادی مقاصد کے حصول کے لیے  کام کیا جائے گا۔ ان میں (ا) جعلی معلومات کی نشاندہی کے طریقے بتانا، (ب) جذباتی اور اشتعال انگیز مواد تخلیق کرنے کی تراکیب سے آشنا کرنا،  اور (ج) معلومات کی پڑتال کے لیے موجودہ اداروں اور ان کی خدمات سے مستفید ہونے کا ہنر سکھانا شامل ہیں ۔ یہاں  گیمز کے  استعمال کا مقصد صارفین کی توجہ کا حصول ہے۔ اس تحقیق کے نتائج کو ماپنے کے لیے صحیح اور غلط کی نشاندہی کی صلاحیت اور معاشرتی رویوں میں تبدیلی پر تجزیہ کیا جائے گا۔  مزید برآں اس تحقیق میں پہلے سے موجود مماثل سرگرمیوں اور سفارشات کا تقابلی جائزہ بھی لیا جائے گا۔ اس مقصد کے حصول کے لیے ایسا فریم ورک تیار کیا جائے گا جو ڈیجیٹل گیمز سے استفادہ کرتے ہوئے ان  سفارشات کا موازنہ کر سکے اور ان کی تاثیر کو عملی طور پر  جانچ سکے ۔ یہ کام چونکہ صارفین اور انکے رویوں سے متعلق ہے لہذا معاشرتی سیاق کو مد نظر رکھتے ہوئے یہ جائزہ حکومتی فیصلہ سازی کی سطح پر بہتر حکمت عملی کی تیاری اور نفاذ میں بے حد مدد گار ثابت ہو گا۔ ٹیم کا  خواب اور عزم  ہے کہ مستقبل میں اس تحقیق سے ایسی معیاری  سفارشات جنم لیں جنھیں آنے والے دنوں میں نصاب کا حصہ بنایا جا سکے۔  ۲۰۲۳   میٹا  ایوارڈ  کے لیے  دنیا بھر کی ۳۹۴ یونیورسٹیوں سے موصول ہونے والی  ۵۰۴ درخواستوں میں سے محض ۹ کامیاب ہو ‏ئیں۔ ڈاکٹر احسان کے مطابق ایک مسابقتی  پیشکش 6  میں بہت سی باتیں اہم ہیں ۔ ان میں زیر غور  مسئلہ کے حقیقی مقاصد و اہمیت ، شدت و اثرات، سیاق و سباق ، حوالہ متن ، ماہرانہ حکمت عملی اور سرمایہ کار ادارے کی پیشکش کے  مقاصد میں دلچسپی و ہم آہنگی کے ساتھ  ساتھ قابل، باصلاحیت،ہم خیال اور سرگرم کثیر الشعبہ ٹیم کی موجودگی نہایت اہم کردار ادا کرتے ہیں۔  ڈاکٹر احسان اور انکی ٹیم کی نظر میں  لمز میں اساتذہ اور محققین کو  ملنے والی آزادی وقت ، حمایتی لوگ اور معاون نظام ان کی گُونا گُوں کامیابیوں کی بنیاد ہیں۔ 

ڈاکٹر عائشہ علی لمز شعبہ  معاشیات میں اسسٹنٹ پروفیسر ہیں اور توانائی، انفارمیشن  معاشیات اور سیاسی معاشیات میں دلچسپی رکھتی ہیں۔

 ڈاکٹر  آغا علی رضالمز سکول آف سائنس اینڈ انجینیئرنگ کے شعبہ  کمپیوٹر سائنس میں اسسٹنٹ پروفیسر اور سینٹر فار سپیچ اینڈ لینگویج ٹیکنالوجیز 7   کے بانی ہیں ۔   ڈاکٹر احسان ایوب قاضی لمز سکول آف سائنس اینڈ انجینیئرنگ کے شعبہ  کمپیوٹر سائنس میں ایسوسی ایٹ پروفیسر ہیں  اور گمراہ کن معلومات کی روک تھام ، ڈیجیٹل ترقی ، کلاؤڈ /ایج کمپیوٹنگ 8 اورٹیکنالوجی و منصوبہ سازی کے تعامُل پر تحقیق کرتے ہیں۔

• Quantitative Evaluation
• Fact checking services
• Polarization 
• Competitive Proposal
• Center  for  Speech  and  Language  Technologies (CSaLT)
• Cloud/Edge Computing

Baang – Access Reliable Health Information with Your Voice!

There’s no doubt that social media is a microcosm of information, that covers a great swath of topics. Tweets and touts relaying public policy, to messages that have been forwarded many times spreading misinformation regarding something as serious as COVID-19. The landscape of social media is fertile for the growth and spread of both correct and incorrect information. However, healthcare is a serious issue and laying down a misinformation mine can prove fatal in some cases. Therefore, researchers at SBASSE have created Baang – a digital platform where you use your voice to access reliable healthcare advice!

But why develop a voice-based service? Over the last two decades, voice-based social media platforms have been enabling people who are poor, remote, and low-literate to still get the benefits of the Internet. These platforms allow users to call toll-free phone numbers to record voice messages in their local language and listen to and react to messages recorded by others. Mobile Vaani connects over five million people to infotainment in the media-dark regions in India and CGNet Swara enables rural communities to listen to local news and report grievances. The paper outlines the need for creating a new, versatile application experience. Many scholars have examined the vital role that mainstream social media plays during crises and disasters, for example, by establishing rapid and direct communication channels from authorities, providing support and information to people in need, and bringing to light the challenges on the ground. However, there is a scarcity of research on how voice-based social media platforms are used during public health emergencies by users who are predominantly low-literate and low-income.

To fill this gap, the research team examined three strategies to foster engagement with and dissemination of trusted information: (1) encourage users to access a curated list of approved health guidelines, (2) provide them incentives to engage with and propagate trusted COVID content, and (3) prompt them to reflect on their COVID-related information behaviors. Over a six-month deployment, the platform received around half a million calls from 12,000 users, who were predominately low-literate, low-income men from across Pakistan, with 96% having less than ten years of education. These users recorded over 35,000 audio posts, played them over 2.4 million times, voted on them 322,000 times, and shared them with other users over 130,000 times. The paper also mentions that users approached with all three strategies showed comparatively higher engagement with authentic COVID information. The engagement was not limited to messages being played by the users and included users recording their own COVID content and engaging with and sharing credible content widely with their peers. Users adapted the platform to meet their specific informational, emotional, and instrumental needs.

Pictured above is a schematic for the user interface of Baang.

The findings highlight knowledge engagement as being more meaningful and relevant for information campaigns compared to user engagement with the platform and its features. Our work provides critical insights on how social media platforms can foster user engagement with credible content and, in doing so, makes two important contributions: (1) A six-month deployment of a voice-based social media platform in Pakistan, providing insights into how communities with low literacy rates engaged with credible health information during the COVID pandemic, (2) A mixed-methods analysis that evaluated the efficacy of three design strategies to foster user engagement with health information.

The hope is that through Baang, a major population from the global south, and especially the underserved communities within the Indo-Pak region can get reliable access to health information, navigating safely around the abyss of misinformation found in abundance across social media.

Agha Ali Raza, Mustafa Naseem, Namoos Hayat Qasmi, Shan Randhawa, Fizzah Malik, Behzad Taimur, Sacha St-Onge Ahmad, Sarojini Hirshleifer, Arman Rezaee and Aditya Vashistha,  Fostering Engagement of Underserved Communities with Credible Health Information on Social Media . In Web4Good special track at TheWebConf 2022 (WWW'22), April 25 - 29, 2022, Lyon, France.

Turning a New Page in Battery Health Monitoring Interdepartmental research at SBASSE gets published in Renewable and Sustainable Energy Reviews

Dependency can lead to complacency. The craving to extract oil is partly derived from its incessant need in our industrial sector. Most of the moving parts involved post industrial revolution need some form of fuel, extracted from oil. The cries of scientists from the 1980s fell on partly deaf ears, when they warned of oil scarcity, but the short-term economic benefit of ‘black gold’ was to decapitate our vision for the long term.

Many years later, the question remains still: what will be the alternate when the world runs out of oil? Fortunately, scientists who foresaw this predicament began to work on solutions that may help steer our direction to a more sustainable, renewable resource. One of the products of this enterprise were the birth of electric vehicles (EVs). These machines with futuristic, cyber-punk aesthetics come in all sizes and shapes and appeal to a wide variety of the demography. Some claim them to be a game-changer for the transport industry. Today, electric cars and their charging ports can be seen more frequently in big cities like Lahore, Karachi, and Islamabad. However, like all emerging technologies, electric vehicles come with their own challenges.

Needless to say, that an electric vehicle run on batteries that store charge. With developments in battery technology, efforts have borne fruit to make them more power and cost effective. Still, the high costs of EVs make it a less attractive competitor to traditional gasoline-run cars. Moreover, the lifespan of the batteries installed in EVs are limited, which adds to the already high cost of producing (and owning!) one. Additionally, the reliability of these installed batteries needs to be improved to make charging efficient. Afterall, they compete with a most environmentally unfriendly entity - oil! It is at this junction of reliability on battery technology, and the efforts to understand their health deterioration, that we meet science superheroes from within SBASSE.

Mr. Huzaifa Rauf from the Department of Electrical Engineering, along with Dr. Naveed Arshad from the Department of Computer Science, at SBASSE, are utilizing machine learning to understand and possibly help reduce these problems around EV batteries. The team’s research is focused on lithium-ion batteries, since they are the most advanced and much-sought batteries used in EVs. Mr. Rauf’s team has used multiple machine learning methods to model parameters to understand how a battery degrades. State-of-health and remaining-useful-life are the most important parameters determining a battery’s reliability and lifespan. The team’s primary research objective is determining which machine learning method best models the battery degradation model of lithium-ion batteries. Hence, they presented battery degradation model in several machine learning methods and algorithms. The results of these models were presented to compare their accuracy, and ability to handle the complex data.

These models can also reduce the strain on laboratory-based methods for understanding battery health degradation and produce results faster. This research presented by Mr. Rauf’s team is still at its early stages. However, such tools are elemental to understand battery health and reliability, which will enable the vast use of electric vehicles.

Their most recent paper highlighting this work was published in the journal Renewable and Sustainable Energy Reviews, a 15.0 impact factor journal. We congratulate them on such a tremendous achievement and wish them best of fortune in their future work.

Huzaifa Rauf, Muhammad Khalid, Naveed Arshad, Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling, Renewable and Sustainable Energy Reviews, Volume 156, 2022, 111903, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2021.111903 .

Graduate Theses

The Particle

A Science magazine with research and science stories from SBASSE.

Please click here to read the magazine: Issue 15 Download: PDF

Science Stories

On the significant day of 23rd March 2024, Dr Naveed Arshad, an esteemed Associate Professor at the Department of Computer Science, was among the recipients of the prestigious Pride of Performance award. This accolade, bestowed by the President of Pakistan, celebrates outstanding contributions in the realms of art, science, literature, sports, and nursing (medicine). 

As the Director of the National Center in Big Data and Cloud Computing (NCBC) , the founder of the Energy Informatics Group , and the Co-Director of the LUMS Energy Institute at SBASSE, Dr Naveed Arshad has been at the forefront advancing  big data, cloud computing, and sustainable energy solutions in the region.   His significant contributions, both in Pakistan and globally, were prominently cited as the foundation for his recognition before the prestigious award was conferred upon him:    “His research interests include energy and climate informatics, electric vehicles, policy and entrepreneurship. Dr. Arshad has published close to seventy research articles in top international journals and conferences. He has also authored PRECON, the most comprehensive open residential energy data collection in the world. He has also contributed significantly to the development of the National Electric Vehicle Policy and is leading an effort to bring low-cost electric vehicles in the country.   He is the co-founder of multiple start-up companies in big data, energy analytics and electric vehicle domains. In addition to publishing in top ranked journals and conferences, Dr. Arshad has also authored many reports and white papers for advocacy and evidence-based policy recommendations.”

Watch this video to learn more about Dr Naveed’s work

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سائنسی اردو

نصابی تعلیمات کو صنعت سے جوڑنے کے لیے لمز کی انڈرگریجویٹ تعلیم کے آخری سال میں ایک پروجیکٹ پر کام کرنا ہوتا ہے۔ عام طور پریہ دو سمسٹرس پرمشتمل ہوتا ہے لیکن اگر پروجیکٹ نامکمّل رہ جائے تواس سے زیادہ وقت بھی لگ سکتا ہے۔ کمپیوٹر سائنس کے طلباء نے اس سال اپنے نگران، پروفیسر وقار احمد کے ساتھ بہت دلچسپ پروجیکٹس پر کام کیا ،جن کا سب سے بڑا مقصد صنعتی معیارسے ہم آہنگ سافٹ ویئر تخلیق کرنا تھا۔ طلباء نے چار سے پانچ افراد پر مشتمل 3 گروپوں میں اپنے عنوانات پر سوچ بچار شروع کی۔ انہوں نے اپنے خیالات وقار صاحب کے سامنے پیش کیے جنہوں نے ان کی رہنمائی کی اور انکے خیالات کو مزید نکھارا۔ پروجیکٹس کی تکمیل کے بعد طلباء نے سامعین کے سامنے اپنا کام پیش کیا اور انفرادی طور پرپروجیکٹ میں اپنے اپنے کردار کے بارے میں معلومات فراہم کیں۔

ایک گروپ نے  مشہور زمانہ موبائل  گیم سبوے سرفرز (١) کے طرز کی گیم بنائی۔ ان کا کہنا تھا کہ گیم ڈویلپمنٹ (٢) کے موضوع پر لمز میں نہ ہی کوئی کورس پڑھایا جاتا ہے اور نہ ہمارا اس ابھرتی ہوئی صنعت کی طرف کچھ خاص رجحان ہے۔ ان کے خیال میں اس پر کام کرنا اپنی جگہ دشوار تو تھا کیوںکہ کافی تصورات انکے لیے نئےتھے، لیکن اسی وجہ سے انہیں کافی کچھ سیکھنے کو ملا اور ان کا پروجیکٹ اپنی جگہ ممتاز ٹھہرا۔ اس پروجیکٹ میں ماینڈ سٹارم اسٹوڈیوز (٣) نے بھی طلباء کو پیشہ ورانہ مدد فراہم کی۔

ایک دوسرے گروپ نے ایک ایسی اپلیکیشن بنائی جو سوشل میڈیا انفلونسرز سے رابطے کو آسان اور آٹومیٹک بنا دیتی  ہے۔ مزید براں تیسرے اورآخری گروپ نے ایک خود مختار تجارتی بوٹ بنایا جس پہ اب ہم تفصیل سے بات کریں گے۔

جیسا کہ ہمیں معلوم ہے دنیا بھر میں تجارت کے لیے مختلف ایکسچینجز ہیں جیسے نیس ڈیک  (٤) وغیرہ۔ اب تجارت میں کچھ خاص خاکے ہوتے ہیں اور اسی بنا پر اسٹاکس کی قیمتوں میں کمی یا اضافہ دیکھنے کو ملتا ہے۔ اگر ان خاکوں کو قواعد کے مجموعہ میں ڈال کر حساب کیا جائے تو اسے ایک بوٹ کے ذریے کنٹرول کرنا ممکن ہوجاتا ہے۔ اس سے تجارت کا عمل خود مختار ہو جاتا ہےاور زیادہ مؤثر اور منافع بخش بھی بن جاتا  ہے کیونکہ بظاھر بوٹس انسانی دماغ سے زیادہ  ڈیٹا ذخیرہ کرنے کی صلاحیت رکھتے ہیں اور اس ڈیٹا کے مطابق کیے گئے فیصلوں کے درست ہونے کا امکان بھی زیادہ ہوتا ہے۔ اس کے علاوہ کسی انسان کا دن کے چوبیس گھنٹے کمپیوٹر کے سامنے بیٹھنا اور ترمیمی طریقے کے مطابق فیصلے کرنا ناممکن ہے جبکہ بوٹس کے ذریے یہ کام ہمہ وقت لیا جاسکتا ہے۔ دنیا کی مختلف ایکسچینجز کے لیے یہ بوٹس اب دستیاب ہیں اوراستعمال بھی ہو رہے ہیں لیکن پاکستان اسٹاک ایکسچینج (پی ایس ایکس) کے لیے ایسا کوئی آلہ موجود نہیں۔

تیسرے گروپ نے اسی خلا کو پر کرنے کی کوشش کی اور پی ایس ایکس کے لیے ایک تجارتی بوٹ تخلیق کیا۔ انہوں نے پچھلے دو ماہ کا  ڈیٹا حاصل کیا اور اس سے 15 دن بعد ہونے والی اسٹاک کی قیمتوں کی کامیاب پیشن گوئی کی۔اس سافٹ ویئر کی خوبصورت بات یہ ہے کے اسے بدلنا اور دوسرے ایکسچینجز یا سسٹمز پر ڈھالنا نہایت سہل ہے۔ فی الحال اسے  پی ایس ایکس پر بنایا ہے لیکن اس کو  بدل کرنیس ڈیک حتیٰ کے کرپٹو ایکسچینجزپر بھی بدلا جا سکتا ہے۔

ایک عام آدمی کا اسٹاک ایکسچینج پر تجارت کرنا اور اسے سمجھنا کافی دشوار ہے۔ اس بوٹ کا ایک اور فائدہ یہ ہے کہ اس کے ذریعے اسٹاکس  کی پیچیدہ منطق کوخودکارکر دیا جاتا ہے اور صارف کو ایک آسان انٹرفیس(٥) فراہم  کیا جاتا  ہے۔ اپنے پروجیکٹ کے لیے اس گروپ نے بزنس اسکول کے طلبا اور پروفیسر سر کمیل کے ساتھ بھی اشتراک کیا۔

تمام گروپس اپنے سپروائزر سر وقار سے خوش تھے اور ان کا کہنا تھا کہ یہ ایک نہایت مفید اور یادگار تجربہ رہا۔ 

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Q&A with Molecular Engineering Graduate Student Abdul Moeez

May 14, 2024

Molecular Engineering graduate student Abdul Moeez came to UW to advance materials for clean energy. Through unique training opportunities in data science and access to state-of-the-art research facilities, he’s developing autonomous systems to accelerate the fight against climate change.

MolES: What interested you in studying at UW?

Moeez: While getting my bachelor’s degree in materials science & engineering from the Institute of Space Technology in Pakistan, I became interested in clean energy materials as well as computational and data science strategies, specifically from an energy storage perspective. During my graduate school search, I found UW’s Clean Energy Institute (CEI) and its Washington Clean Energy Testbeds as well as the Data Intensive Research on Enabling Clean Technologies program (DIRECT, which has since ended). I started at UW as a master’s student in materials science & engineering (MSE) with my Fulbright Fellowship and was selected as a DIRECT Trainee. I worked on energy storage devices with Professor Jun Liu , the Washington Research Foundation Innovation Chair in Clean Energy, including potential alternatives to lithium-ion batteries like sodium-ion batteries.

I wanted my Ph.D. to be interdisciplinary, focusing on integrating machine learning and artificial intelligence with materials science and chemistry experiments to enable rapid discoveries for clean energy applications. I found out that the Molecular Engineering graduate program at UW enabled me to reach my objectives through the faculty, facilities, and other resources available on campus. Another thing that motivated me to apply to the UW again was serving as a senator in the Graduate and Professional Student Senate (GPSS) for the MSE department during my master’s. It was a very valuable experience to learn and practice policy development to improve student experiences. 

MolES: You grew up near Margalla Hills National Park , which form the foothills of the Himalayas. Can you tell us how this impacted your research interests?

Moeez: My initial interest in research was due to the need to develop sustainable solutions to climate change. I come from South Asia, which houses a quarter of the world’s population while also being one of the most vulnerable regions in terms of climate change. If you Google “floods in Pakistan,” there has been a flood almost every year since 2010, with the major ones in 2010 and 2022 making news in this part of the world. In 2022, the flooding affected around 33 million people — at one point, about one-third of the country was underwater. For a decade now the weather patterns have been unpredictable, especially monsoons, and every year we have record-setting rainfalls that the country can’t manage. And recently, the frequency of Glacial Lake Outburst Flooding (GLOF) has increased. There are over 7,000 glaciers in the northern areas of Pakistan, and with increasing global average temperatures, these are climate change-induced disasters waiting to happen.

With these and a severe energy crisis in the country around the same period, I naturally became inclined towards research on clean energy technologies, initially from a materials perspective. But fighting accelerating climate change requires accelerated science. We need to develop clean energy solutions as quickly as possible to protect vulnerable communities. My Ph.D. aims to minimize the resources (energy, time, chemicals) spent on achieving the desired functionality, while also producing materials that can be utilized in energy storage, photonic, or biological applications.

MolES: Tell us about your clean energy research.

Moeez: I am working in the Pozzo Research Group , and my research involves the development of autonomous systems for synthesizing nanostructured materials. Energy researchers are interested in nanomaterials because their properties depend on shape and size, and that morphology depends on the synthesis process. We can optimize a reaction through trial and error, but along with material costs, each iteration of the experiment takes significant time and mental energy.

By integrating microfluidics, characterization tools like Small Angle X-Ray Scattering (SAXS), and data science (AI/ML), I’m working to automate that decision-making process so we can quickly and economically find the correct conditions to produce a desired material.

I am also a Clean Energy Institute Graduate Fellow , which has enabled me to improve my science communication skills through K-12 engagement activities and workshops. I’ve had the opportunity to broaden my perspective on clean energy research by networking with CEI fellows from other fields of study like computer science, chemistry and political science. I recently received a CEI travel grant which partially funded my trip to the Federal Institute for Materials Research and Testing (BAM) in Berlin, Germany. The month-long trip encompassed more training on SAXS lab management, instrumentation, lab automation, high-throughput experimentation and characterization. These skills will accelerate my own research and enable me to help other researchers design their own experiments and gain experience with SAXS.

MolES: What are you up to outside the lab?

Moeez: I actively volunteer for New York Academy of Sciences (NYAS) as a virtual STEM mentor, which involves coaching teams of high school students for environment, health, or technology competitions. Students from diverse backgrounds and all parts of the world bring their own social and cultural experiences to solve important issues in sustainability. I also volunteered for on-campus events like “ Introduce a Girl to STEM ” or “ MEM-C Research Experience for Teachers (RET)” programs.

MolES: What advice would you give to future MolE Ph.D. students?

Moeez: Build connections and find your pack. Experiments may not always work, research may encounter setbacks, but if you have the right people by your side to motivate you, you’ll find a way to succeed — luckily, I have my MolES cohort! We go out for dinners, retreats and celebrations. Since the start of the program, we have been regularly participating in intramurals as the ‘Mole Ole Ole Ole’ team. MolES also has a very active graduate student association. Huge shout-out to them for planning and organizing outreach activities, events and workshops. Everyone in MolES is welcoming, supportive and takes care of each other.

MolES: What would you like to do after finishing your Ph.D.?

Moeez: I’ve really enjoyed teaching. I can see the direct impact of my work. Helping people understand the challenges we face — and the possible solutions — amplifies brain power and makes science go faster. I taught for two years as a lab instructor after my bachelor’s and then again as a lecturer after my master’s, both in MSE at my alma mater and loved every part of it.

So, for now, the plan for after my Ph.D. is to remain associated with academia in the United States or Pakistan. I want to teach at the undergraduate or graduate level with opportunities for research, so I can continue to explore solutions for a sustainable future.

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