Inviting all undergraduate researchers to showcase their recent work and share their findings with peers, professors, and professionals at the Undergraduate Research Symposium by the Dhahani School of Science and Engineering (DSSE), Habib University. Abstracts will be accepted for poster and oral presentations in the following streams:
Best Research Award: There will be 3 best research awards based on evaluation by a panel of judges.
Publication: Digital Abstract Book
|PKR 750 for Presenter,|
|PKR 500 for Student Attendees,|
|PKR 1000 for Professional Attendees.|
|Bank Name||Habib Metropolitan|
|Bank Branch||Star gate branch Karachi.|
|A/c Title||Habib University|
|Abstract Submission||April 28, 2023|
|Notification of Acceptance||May 7, 2023|
|Registration Deadline||May 12, 2023|
|Registration||Location: Campus Reception||9:30-10:00 am|
|Welcome note by Dr Amir Hasan Vice President Academic Affairs||Location: Tariq Rafi Lecture Hall||10:00-10:10 am|
|Keynote Speech by Mr. Samir Hoodbhoy CEO Data Communication and Control (DCC) Pvt. Ltd.||Location: Tariq Rafi Lecture Hall||10:10-10:35 am|
|Tea and Refreshments (Ground Floor Area adjacent to ATM)||Location: Tariq Rafi Lecture Hall||10:35-11:00 am|
Revisiting Uncertainty in Spatial Representation of Kinematic Bicycle Model by
Shahir ul Islam Anzal, Muhammad Zaeem Baig, and Shafayat Abrar
|Location: Tariq Rafi Lecture Hall||11:00-11:15 am|
Speech Emotion Recognition using Traditional Machine Learning Techniques and Deep Learning Techniques by
|Location: Tariq Rafi Lecture Hall||11:20 - 11:35 am|
Explainable Artificial Intelligence For Breast Cancer Classification by
Maryam Ahmed, Tooba Bibi, and Rizwan Ahmed Khan
|Location: Tariq Rafi Lecture Hall||11:40 - 11:55 am|
Deepfake Detection using Deep Learning by
Zoha Zehra, Abdullah Abdul Wahid, and Fazeel Zafar
|Location: Tariq Rafi Lecture Hall||12:00 - 12:15 pm|
Mai: A Transformer Based Domain Specific Chatbot For Menstrual Health by
Shafaq Fatima Mughal, Shayan Amir, Ayesha Asif Syed, Umema Zehra and Abdul Samad
|Location: Tariq Rafi Lecture Hall||12:20 - 12:35 pm|
Development Of a DC-DC Converter Based Nanogrid Platform by
Muhammad Suleiman Qureshi, Lakshman Maheshwari, and Ahmad Usman
|Location: Tariq Rafi Lecture Hall||12:40 - 12:55 pm|
Deep Learning for Short-Range Weather Forecasts by
Muhammad Iqbal, Sachal Raja, and Humna Waqar
|Location: Tariq Rafi Lecture Hall||1:00 - 1:15 pm|
Design and Performance Evaluation of a Pelton Wheel Turbine with a Gearbox and an Automatic Voltage Regulator for Hydropower Generation by
Syed Shayan Nadeem, Imran Ahmed Qureshi, Affan Uz Zaman, Khuzaima Umair Siddiqui, and Jibran Ali
|Location: Tariq Rafi Lecture Hall||1:20 - 1:35 pm|
|Lunch and Prayer Break||Location: Tapal Cafe||1:35 - 2:30 pm|
|Posters Exhibition||Location: Multipurpose Room & Library Information Commons||2:30 - 3:30 pm|
|Awards and Certificates Distribution + Closing||Location: Tariq Rafi Lecture Hall||3:30-4:00 pm|
Dr. Asim Imdad is a tech entrepreneur and academician with a Ph.D. in AI and 15+ years of industry and academia experience across three continents. He solved supply chain management problems and cancer detection at NIST, USA, and developed the first tax evasion detection system at SRB. Dr. Imdad focuses on health informatics, algorithmic trading, video analytics, and fintech at AKS iQ using AI and machine learning. He has authored over 40 tech publications and is an expert in machine learning, computer vision, and quantum computing.
Dr. Muhammad Atif Tahir received his PhD from School of Computer Science & Engineering at Queen’s University, Belfast, UK, MSc in Computer Engineering from King Fahd University, Dhahran, KSA, and BE in Computer Systems Engineering from NED University of Engg, and Tech., Karachi, Pakistan. He is currently working as Professor and Director at School of Computer Science, FAST-NUCES, Karachi Campus. Before joining FAST, he was working as Senior Lecturer at Northumbria University, Newcastle Upon Tyne, UK. His main research is in Machine Learning & Combinatorial Optimization Techniques with applications in image / video retrieval, cancer classification, surface inspection, bioinformatics, multi-label classification, and face recognition. He has authored and co-authored more than 60 publications in top quality journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Journal of Machine Learning Research, IEEE Transactions on Multimedia. He is also Director of Video Surveillance Lab, NCBC funded by Planning Commission of Pakistan and HEC. Dr Tahir has recently won several research grants worth Rs 50 millions.
Jawwad A Shamsi (email@example.com) is a Professor of Computer Science and Dean of Computing in National University of Computer and Emerging Sciences (NUCES), Karachi, Pakistan. He received PhD. in computer science from Wayne State University, MI, USA in 2009.
His research interest lies in Deep Learning , Machine Learning, High Performance Computing, Cloud Computing, Software Defined Networking, and Network Security.
His work has been funded by Higher Education Commission, IGNITE, Pakistan, and NVIDIA, USA. He has also received IEEE TCPP early adopter awards. In addition, he authored a Book titled "Big Data Systems: A 360 Degree Approach", which has been published by Taylor and Francis. He has 22 impact factor journal publications. His publications have received more than 1300 citations. He has also served as the Director Karachi campus and Head of the CS department at NUCES. Contact him at firstname.lastname@example.org.
Dr. Tahir Syed received his Ph.D in Learning and Vision from Université Paris-Saclay, France. He lectures at the Institute of Business Administration Karachi. He has worked extensively with fundamental Machine Learning problems such as class imbalance and distribution shift, and specialises in designing new losses for optimising neural networks for specific needs. He drafted and designed Pakistan's first graduate Data Science curriculum.
At the level of undergraduate research, he has had the distinction of having built up solid young research workers, and his undergraduate trainees have published in tier-A* conferences and workshops, and have been accepted at graduate programmes in highly-ranked CS schools.
Dr. Tariq Mahmood, Professor and Coordinator of MS Programs, holds a Ph.D. Degree in Computer Science from the University of Trento, Italy – 2004. His career spans 13 years of experience in higher education research, teaching, and management. He has published over 60 research publications and has a citation score of ~1330 in Google Scholar. He has more than 8 years of experience in conducting training and consultancies in data analytics and related domains. He heads the Big Data Analytics laboratory at IBA with a focus on creating and maintaining academic-industry collaborations including on-going projects with Tabba Heart Institute, AKUH, and 10pearls.
Dr. Tariq Rahim Soomro, Professor of Computer Science, and Acting Rector at Institute of Business Management, has received BSc (Hons) and M.Sc degrees in Computer Science from University of Sindh, Jamshoro, Pakistan and his PhD in Computer Applications from Zhejiang University, Hangzhou, China and became the first Pakistani to receive all three degrees in the field of Computer Science. He has more than 28 years of extensive and diverse experience as an administrator, computer programmer, researcher, and teacher. As an administrator, He served as Coordinator, Head of Department, Head of Faculty, Dean of Faculty, Head of Academic Affairs and having wide experience in accreditation related matters, including ABET USA, HEC Pakistan and Ministry of Higher Education and Scientific Research, United Arab Emirates (UAE). He has published over 100 peer-reviewed papers. He has been a senior member of IEEE since 2005 and IEEE Member since 2000. He is currently serving as Vice-Chair IEEE Karachi Section and IEEE Computer Society R10 Southern Area Coordinator of Computer Society. He is member Task Force on Arabic Script IDNs by Middle East Strategy Working Group (MESWG) of ICANN, Member Editorial Board of several research Journals and also served as Technical Program Committee Member of several national and international conferences. He also received the ISOC Fellowship to the Internet Engineering Task Force (IETF) for the 68th Internet Engineering Task Force (IETF) meeting. He is also IEEE Computer Society Distinguished Visitor (2021-2023) and recently became the first Pakistani to be selected by the IEEE Computer Society to the ‘Inaugural Class of IEEE Computer Society Distinguished Contributors’.