Syed Babar Ali School of
Science and Engineering
Syed Babar Ali School of Science and Engineering
Syed Babar Ali School of Science and Engineering (SBASSE) at LUMS is the first private research school of science and engineering in Pakistan. In higher education, the term research school refers to a model of teaching and scholarship practised by some of the best institutions in the world where the primary function of the university is to create and disseminate new knowledge. SBASSE has consciously modelled itself along the lines of the world’s top research schools and has a highly qualified faculty to accomplish its mission. The hallmark of SBASSE is its no-boundaries philosophy, which encourages cross-disciplinary collaborations not only between various disciplines at SBASSE but also those offered by other Schools at LUMS.
A Different Kind of
Science and Engineering School
in Pakistan
300,000
Square feet of lab and
classroom learning space
70+
Dedicated labs for research,
teaching and support
Accredited by
PEC and NCEAC
Choose your path
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.
Research and Impact

“We sympathise with all the families who…

“We sympathise with all the families who have suffered the loss of a child,” expressed a spokesperson from Sanofi Pasteur, the French multinational pharmaceutical company, upon the deaths of school-age children in the Philippines after being administered Sanofi’s dengue virus vaccine, Dengvaxia. Notably, no deaths had been reported during more than a decade-long clinical trials of the world’s first dengue vaccine. However, in November 2017, Sanofi disclosed that Dengvaxia “might increase the risk of severe disease in people who had never been exposed to the virus.
Despite extensive efforts, current dengue prevention strategies, including vaccinations, have significant limitations, leaving no specific treatment for dengue fever. This vector-borne disease, primarily affecting Asia, is transmitted by infected mosquitoes (vectors) that carry and transmit the dengue virus from person to person, causing severe fever.
Could undercounted infections explain the lack of attention to dengue’s severity?
A 2013 study published in Nature estimated the true total of infections to be more than three times the estimate of the World Health Organisation.
The traditional approach of developing new drugs from scratch can be both time-consuming and expensive. Therefore, researchers at SBASSE (Syed Babar Ali School of Science and Engineering) have pursued an alternative strategy known as drug repurposing. This approach involves identifying existing drugs that might be effective against diseases different from their original intended use. In this study, led by Hafiza Nosheen Saleem under the supervision of Dr Muhammad Saeed, a library of 1127 small molecules, initially designed as antivirus drugs, were screened to determine their potential efficacy against the dengue virus.
Nosheen and Dr Saeed, alongside their collaborators Summara Kousar, Ammar Hassan Jiskani, Iqra Sohail and Dr Amir Faisal, focused their efforts on a specific protein within the dengue virus known as DENV NS2B/NS3 protease. This protein plays a crucial role in the virus's life cycle, and inhibiting it could disrupt the virus's ability to replicate. Four molecules in the screen library, ABT263, ABT737, AT101 and TW37, demonstrated promise as inhibitors of the NS2B/NS3 protease. These molecules were initially developed as inhibitors for B-cell lymphoma 2 (Bcl-2), a member of the protein family. Notoriously associated with the survival of certain types of cancer cells, Bcl-2 plays a key role in aiding cancer cells to withstand chemotherapy. For instance, ABT263 is currently being tested for the treatment of high-grade triple-negative breast cancer and ovarian cancer.

To assess the effectiveness of these molecules in inhibiting the NS2B/NS3 protease, the researchers employed a metric called IC50, representing the "half-maximal inhibitory concentration." This metric gauges how effectively a molecule can inhibit the protease. Further analysis of these molecules' inhibition mechanisms revealed that ABT263 and ABT737 competitively inhibited the protease by binding to the same site as the target substrate. In contrast, AT101 and TW37 were identified as non-competitive inhibitors, binding to a different site and inducing changes in the enzyme's structure or activity.

The study suggests that the identified inhibitors have the potential to be developed into specific anti-dengue therapeutics. This is a promising avenue for further research and development, as these molecules have already undergone testing for their safety and pharmacological properties as anticancer drugs. With the aim of preventing tragic incidents like the loss of school-age children to dengue in the Philippines, this research provides hope for improved treatments and enhanced protection against this mosquito-borne disease.

لمز سکول آف سائنس اینڈ انجینیئرنگ میں…

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 انجینئرنگ1 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 بلوٹ2 کے مسئلے کا بنیادی سبب ہے، جو میموری3 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 آرگیومنٹس6 ) 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 فائل9 سے قطع نظر یا توصرف سطر الامر دلائل10 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 تخصص11 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 طریقے12 تجویز کیے گئے ہیں۔اس ضمن میں تخصص سے وابستہ افعال کی دو اقسام پر مبنی ایک تربیتی ڈیٹاسیٹ13 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
- Constant
- 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

Huzaifa Rauf, a brilliant PhD…

Huzaifa Rauf, a brilliant PhD scholar from the Department of Electrical Engineering, has within a year earned two significant accolades - the prestigious “Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland Awards” for his outstanding performance and lasting contribution on “Safe Energy Storage Research”, and the publication of his research paper in the renowned Elsevier’s “Journal for Energy Storage”.
The rise and widespread adoption of electric vehicles (EVs) in recent decades has been primarily fueled by advancements in battery and power technologies and the urgent need to curb greenhouse gas emissions. However, unlike traditional fuel-driven vehicles, EVs face a significant challenge—the degradation of their batteries—which limits their overall lifespan. This issue is particularly concerning considering the resource-intensive nature of battery production, as short-lived batteries have an unintended adverse effect on the environment. Recognising this critical problem, Huzaifa is actively involved in a research group at SSE, LUMS Energy Institute, dedicated to enhancing the area of renewable energy analytics, smart grids, and energy efficiency.
During Huzaifa’s time as a visiting scholar at the University of Maryland, he worked under the supervision of Prof Michael Pecht (member SBASSE advisory board) and Dr Michael David Osterman at CALCE. His dedication and expertise in applying AI and machine learning for reliability improvement in electric vehicle batteries were instrumental in earning him the CALCE award, making him the first visiting PhD from any country to receive this prestigious honour from the Centre. As part of the award, Huzaifa also received a funding grant of $5,000, acknowledging his exceptional research accomplishments.
“Having worked at the initial phase of the battery degradation, swelling and thermal runaway project, I am confident that this stream is going to make a significant impact in domain of energy storage.” Huzaifa expressed great enthusiasm for having his work recognised.

In addition to the research award, Huzaifa has also published a paper titled "A Novel Smart Feature Selection Strategy of Lithium-ion Battery Degradation Modelling for Electric Vehicles Based on Modern Machine Learning Algorithms", under the supervision of Dr Naveed Arshad, founder LUMS Energy Institute.
The paper highlights the importance of accurately predicting battery capacity loss to ensure the batteries' longevity, safety, and reliable operation. To achieve this, the researchers propose a smart feature selection (SFS) strategy-based machine learning framework. The SFS method selects relevant input parameters from battery data from the current and previous time steps, which are then utilized for model training and testing.

The results demonstrate that the proposed SFS method, in combination with various machine learning algorithms, significantly enhances the prediction accuracy and reduces the mean absolute error for battery capacity loss. The paper also emphasizes the importance of predicting a battery calendar, the degradation of a battery’s life over time whether or not it’s used, and cyclic loss, the gradual decrease in battery capacity caused by repeated charge and discharge cycles. Furthermore, it showcases the improved performance achieved by combining the SFS method with machine learning algorithms such as Gaussian Process Regression (GPR), random forest (RF), and XGBoost. This research presents a novel approach to feature selection-based machine learning for independently predicting battery calendar and cyclic loss, making it a valuable contribution to the field.
The publication highlights Huzaifa’s innovative approach to selecting smart features in modelling lithium-ion battery degradation, which has significant implications for electric vehicle performance and longevity. The research paper stands as a testament to his commitment to advancing the field of safe energy storage.

In an extraordinary feat of academic and…

In an extraordinary feat of academic and research brilliance, Nida Javaid, a dedicated biologist, triumphed in her Ph.D. thesis defense by discussing her research on antimicrobial resistance (AMR) on clinically relevant pathogens. 2 weeks after her defense, she was awarded the coveted title of being a Ph.D. doctor. By inculcating the disciplines of Math and Biology, Dr. Nida employed various statistical analyses along with well-thought-out genomic epidemiological approaches to classify and characterize the patterns of Antimicrobial Resistance in Pakistan.
In her thesis presentation, Dr. Nida highlighted the dangers of antimicrobial-resistant pathogens. Due to factors such as lack of surveillance systems, inadequate infection control practices in hospitals, overburdened healthcare systems, and most importantly, the lack of awareness, AMR has become a major public threat in Pakistan. Dr. Nida’s statistical models primarily focus on the patterns of AMR in Pakistan, explicitly examining clinically resistant strains of Streptococcus pneumoniae (S. pneumoniae). S. Pneumoniae is the bacteria behind pneumococcal infections, a lower respiratory tract disease affecting millions worldwide. When bacteria become resistant to the antimicrobials provided as an infection cure, antimicrobial resistance develops, and this causes the birth of ‘Superbugs’.
During her research, Dr.Nida realized the intensity of this prevalent problem and noticed that the burden of pneumonia infections is unevenly distributed. A staggering 50% of bacterial infections and associated fatalities are concentrated in just four countries, with Pakistan being among them. In 2012, a therapeutic revolution was introduced with the discovery of PCV-10, a vaccine targeting 10 serotypes of S.Pneumonia. However, until now, no study has examined the impact of this vaccine on these resistant pathogens. This is when Dr. Nida knew that she had to play her part in understanding and researching these disease patterns. Through her work, she brought the country closer to developing stronger therapeutics and surveillance systems.
What truly sets Dr. Nida’s approach apart is her multi-faceted, interdisciplinary approach. In her prior academic works as the first or second author, Dr. Nida delved into analogous mathematical models of AMR patterns in clinically relevant bacteria. For instance, in her published article titled "Trends in antimicrobial resistance amongst pathogens isolated from blood and cerebrospinal fluid cultures in Pakistan (2011-2015): A retrospective cross-sectional study," she extensively examined antimicrobial resistance patterns, specifically in E. coli strains.

Citation: Javaid, Nida et al. “Trends in antimicrobial resistance amongst pathogens isolated from blood and cerebrospinal fluid cultures in Pakistan (2011-2015): A retrospective cross-sectional study.” PloS one vol. 16,4 e0250226. 26 Apr. 2021, doi:10.1371/journal.pone.0250226
Her passion for Mathematics and Biology drove her to take a varied approach to tackle the problem. Her research was conducted under the guidance of multiple esteemed professors, including Dr. Shaper Mirza, Dr. Sultan Sial, Dr. Safee Chaudhary, and Dr. Adnan Khan, representing both the Math and Life Sciences departments at SSE. Additionally, she received supervision from Dr. Imran Nisar from Aga Khan University in Karachi. Dr. Nida's Ph.D. research also sets up a propeller for further research in therapeutics as she looks at other structural proteins of S.Pneumoniae as a vaccine target.

It goes without saying that the modern era…

It goes without saying that the modern era is surely a scientific era. With recent advancements in the field of research, diseases once considered “incurable” diseases are no longer a matter of distress for the 21st-century individuals, thanks to the incredible scientists and their valuable research. Considering the pace at which researchers are discovering cures for the most dreadful diseases, it is not impractical to think of the myth of a “panacea” may soon become a reality. However, certain widely prevalent diseases such as Alzheimer (AD) and Dementia, that unfortunately have no known cure and remain areas of intensive research globally.
The scientifically motivated students of LUMS are also keeping pace with the world by exhibiting strong commitment and actively contributing towards research in this field. One such example is our bright PhD Chemistry scholar, Kainat Ahmed, who has recently successfully defended her PhD proposal. Kainat’s insightful research in the area of potent heteroaromatic hydrazone-based 1,2,4-triazine motifs development to treat Alzheimer Disease, has been published in the renowned “Journal of Molecular Structure” by Elsevier.
1,2,4-Triazine based hydrazone scaffolds are organic compounds that were synthesized after a series of complex chemical reactions using heteroaromatic aldehydes. Heteroatomic aldehydes are a class of organic compounds that contain at least one heteroatom, such as oxygen (O), nitrogen (N), or sulfur (S), in addition to a carbonyl group (-C=O) and a hydrogen atom (-H) attached to the same carbon atom. The synthesized hydrazone are biologically active compounds that have shown promising results in combating neurodegenerative disorders such as Alzheimer's and Parkinson's. Apart from having a unique chemical structure, these motifs are also found to possess strong antioxidant activity and cholinesterase inhibition properties, which make them suitable for curing Alzheimer’s disease.

Alzheimer’s disease is a condition characterized by progressive decline in cognitive function, memory loss and behavioral changes. One of the key neurotransmitters affected in Alzheimer's disease is acetylcholine, which plays an important role in memory and learning. Cholinesterase inhibitors are a class of drugs that are commonly used in the treatment of Alzheimer's disease. These drugs work by inhibiting the breakdown of acetylcholine, thereby increasing its levels in the brain. By increasing acetylcholine levels, cholinesterase inhibitors can help to improve cognitive function and slow down the progression of the disease. Two types of cholinesterase enzymes targeted by cholinesterase inhibitors are acetylcholinesterase (AChE) and butyrylcholinesterase (BChE).

Therefore, a radical approach for the treatment of Alzheimer’s disease could involve the AChE and BChE enzymes, which play a crucial role in restoring an which progressively restore the concentration of acetylcholine. Previous research in this area yielded interesting results, where heterocyclic motifs in the form of potent free radical scavengers proved to be effective inhibitors for different enzymes, such as cholinesterase. Kainat along with her co-researchers synthesized new conjugates of 1,2,4-triazine and heteroaromatic aldehydes bridged with hydrazone skeleton, which showed effective activity as potent free radical scavengers and strong inhibitors of cholinesterases that cause Alzheimer’s disease.“Research is to see what everybody else has seen, and think what nobody else has thought.”-Albert Szent-Gyorgyi.
An innovative research technique employed by Kainat and co-researchers involved the utilization of quantum chemical and molecular docking studies to gain deeper insights into the mode of action of these motifs. These methods allowed them to explore the compounds’ electronic and structural properties, as well as their potential interactions with biological targets such as enzymes or receptors. The study’s results unveiled significant findings regarding the structure-activity relationships of the compounds. Specifically, the researchers identified crucial structural features that facilitated their interaction with cholinesterase enzymes and the scavenge reactive oxygen species. The development of these compounds represents an exciting advancement in the field of medicinal chemistry.
The publication of this article in a prestigious scientific journal and the defense of her PhD proposal is proof of Ms. Kainat’s dedication and commitment to her work. We extend our congratulations and wish her continued success in her endeavors.
Graduate Theses
The Particle

The Particle
A Science magazine with research and science stories from SBASSE.
Please click here to read the magazine: Issue 21
Science Stories

Dr. Naveed graduated from FAST Islamabad in 2011 with a degree in telecom and pursued his master's degree in computer science at the same institution. Under the guidance of Dr. Affan Syed and Dr. Hammad Alizai, he conducted groundbreaking thesis research on Wireless Sensor Networks, which resulted in his paper being published at the prestigious ACM/IEEE IPSN 2014 conference.
During this conference, Dr. Naveed had the opportunity to meet Prof. Luca Mottola, who would later become his mentor during his PhD studies. He joined Prof. Mottola's Network Embedded System (NES) research group at Politecnico di Milano in Italy. Dr. Naveed's Ph.D. research focused on transiently powered computing and yielded several noteworthy papers, including one that received the best presentation award at the ACM/IEEE IPSN 2016 conference.
Adding to his contributions in the field, Dr. Naveed conducted a real-world embedded sensing deployment at the Mithræum of Circus Maximus, an underground archaeological site protected by UNESCO in Rome, Italy. The findings from this project were published in SenSys 2020. Following the completion of his PhD, Dr. Naveed undertook a postdoctoral fellowship at RI.SE, Sweden for a year and a half under the ERCIM program.
Before joining LUMS, Dr. Naveed dedicated three years of his career to Air University, Pakistan. His exceptional work earned him the best faculty award in his department and a commendation award from the Vice-Chancellor. His website is here.
Dr. Naveed graduated from FAST Islamabad in 2011 with a degree in telecom and pursued his master's degree in computer science at the same institution. Under the guidance…
Seminars and Conferences

Stefeno Luzzatto received his PhD in Dynamical Systems from the International School for Advanced Studies (SISSA) in Trieste and the Instituto de Matematica Pura e Aplicada (IMPA) in Rio de Janeiro, under the supervision of Marcelo Viana an Jacob Palis in 1995. He was a postdoc at the Mathematics Institute at Warwick University from 1995 to 1999 and a lecturer, senior lecturer and reader from 2000 at Imperial College London where he co-founded the Dynamical Systems group DynamIC. In 2009 he had the privilege of moving to the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste where he coordinated the activities in Dynamical Systems and Ergodic Theory within the Mathematics Section.
His research is in the area of Dynamical Systems and Ergodic Theory or more specifically in the "Stochastic properties of deterministic dynamical systems". This has to do with the fact that many dynamical systems are "chaotic" in the sense that their short-term behavior is quite unpredictable but statistically well behaved, which allows us to have fairly reliable long-term statistical information and predictions.
He is involved in the organization of many schools and workshop both in Trieste and elsewhere, including in developing countries, and of supporting mathematicians working with few resources and difficult conditions. Recently, as a Scientific Coordinator of the International Mathematics Master (IMM) he was instrumental in the launch of first pilot project in Lahore, Pakistan.
About the John Conway Spirited Seminar Series: John Conway Spirited Seminar series was started in 2021 by the Department of Mathematics at Syed Babar Ali School of Science and Engineering-LUMS, Pakistan. These seminars allow mathematicians from all over the World to indulge in productive discussions on recently evolved theories, expositions, and research. These seminars are purposefully kept online (through Zoom) to avoid the logistics limitations of inviting a speaker from the mathematically developed World and provide a latitude for researchers and students to benefit from these seminars. Almost all the talks are recorded with the speaker's prior consent, and these recorded talks are available on the website. Stay connected with recent development through seminars is highly important for cultivating of effective ideas. Though John Conway never visited Pakistan, it is an endeavor to live his spirited enthusiasm for promoting mathematics. A humble tribute to his grand legacy and spirited attitude to promoting mathematical discussions. We invite all mathematicians, young researchers, and students to these seminars.
Stefeno Luzzatto received his PhD in Dynamical Systems from the International School for Advanced Studies (SISSA) in Trieste and the Instituto de Matematica Pura e Aplicada (IMPA) in Rio de Janeiro, under the…

This event aims to provide valuable knowledge and foster discussions that will benefit our students and faculty members alike. It's an excellent opportunity to gain insights into the semiconductor industry, network with professionals, and contribute to the growth of design verification in Pakistan.
The panelists include engineers from:
DreamBig Semiconductors
Rapid Silicon
10xEngineers
In this panel discussion, engineers will discuss.
1. The current status of design verification practices in Pakistan.
2. The gaps and challenges we need to overcome to stay competitive in the semiconductor industry.
3. Strategies to enhance our capabilities and innovation in design verification.
4. Career opportunities and skill sets required to excel in this domain.
This event aims to provide valuable knowledge and foster discussions that will benefit our students and faculty members alike. It's an excellent opportunity to gain insights into the semiconductor industry, network with…
Public Lecture Series

Biography:
Dr. Sarah Qureshi is working on contrail-free aero engines as the CEO and founding director of Aero Engine Craft (Pvt) Ltd. She is also a visiting fellow at the School of Aerospace at Cranfield University. Sarah has a PhD degree in Aerospace Engineering from Cranfield University, UK. Her area of specialization is Propulsion whereby she worked on the development of a contrail-free aero-engine that has been derived from a novel patented technology. Sarah was actively involved with the invented technical outcome of the engine. The innovated engine has a tremendous potential in bringing about an environmental revolution in the context of aviation.
Dr. Sarah Qureshi , along with the inventor of technology Mr. Masood Latif Qureshi has now set up Aero Engine Craft (Private) Limited as Pakistan's first commercial engine and aircraft company to convert this patented technology into a full scale commercial application ready to be used by modern civil transport aircraft. During her PhD, Sarah supervised a number of MSc. students for their research projects on Jet Engine Technology. Prior to this, Sarah completed her master’s degree in the field of Aerospace Dynamics from Cranfield University, UK. Her research involved the design of a trajectory following controller inclusive of stability augmentation, attitude control system and outer loop autopilot for unmanned aircraft (UAVs) flying in close formation for the purpose of air to air refuelling. After graduating as a Mechanical Engineer from Pakistan, Sarah gained extensive experience of working in the local automotive and engineering industry.
Her bachelors' research project involved the development of a measurement and data logging system for the in-cylinder temperature and combustion of an internal combustion engine. Her prime technical interests are focused upon engine technology and aircraft design. Sarah holds a Private Pilot License (PPL) with 70 hours of Flying Experience. She has also learned acrobatic flying and several flight manoeuvres while at Cranfield.
Biography:
Dr. Sarah Qureshi is working on contrail-free aero engines as the CEO and founding director of Aero Engine Craft (Pvt) Ltd. She is also a visiting fellow at the School of Aerospace at Cranfield University. Sarah has a PhD degree in Aerospace Engineering from…
سائنس اور ٹیکنالوجی کی کہانیاں
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۔

(1) Subway Surfers
(2) Game development
(3) Mind Storm Studios
(4) NASDAQ
(5) Interface
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…