DUE TO THE CURRENT CIRCUMSTANCES SURROUNDING THE COVID-19 CONTINGENCIES ON CAMPUS, THE SYMPOSIUM IS POSTPONED TO THE END OF MAY/BEGINNING OF JUNE 2020. WE WILL DEFINITELY LET KNOW YOU THE EXACT DATE AT A LATER TIME. HOWEVER, YOU CAN UPLOAD YOUR ABSTRACTS AND POSTERS IF THEY’RE READY.
The Drexel IEEE Graduate Forum (DIG) is proud to present and pleased to invite you to attend the 12th Annual Drexel IEEE Graduate Forum’s Research Symposium on April 3, 2020 (NOW POSTPONED). As a long-standing tradition, DIG organizes an annual research symposium as a venue for graduate and undergraduate students to present their research to their colleagues, while also providing opportunities for networking and socializing!
The attached agenda for the day will include:
- Presentations from four keynote speakers
- A poster session, breakfast, lunch, snacks, reception and an award ceremony for the best poster presentations
Posters will be evaluated on originality, presenter’s knowledge, visual presentation, and content by faculty members. The three top graded posters will receive cash prizes.
Dr. Deep Jariwala, University of Pennsylvania
Dr. Matthew C. Stamm, Drexel University
Dr. Xiaonan Lu, Temple University
Dr. Brian Stuart, Drexel University
- 1st, 2nd and 3rd place posters win cash prizes! (a total of $1000 for awards)
- Free poster printing for final posters submitted before the deadline
Specifications for students who’d like to participate:
Link to submit Abstract:
The abstract must be in between 250 and 500 words.
Link to submit poster:
Acceptable sizes for poster are [24″x36″] or [36″x48″].
The posters must be less than 70MBs in size and 300 DPI.
Deep Jariwala is an Assistant Professor in Department of Electrical and Systems Engineering at the University of Pennsylvania (Penn). Deep completed his undergraduate degree in Metallurgical Engineering from the Indian Institute of Technology, in 2010 and his Ph.D. in Materials Science and Engineering at Northwestern University in 2015. Deep was a Resnick Prize Postdoctoral Fellow at the Caltech from 2015-2017 before joining Penn in 2018 and starting his own group. His research interests broadly lie at the intersection of new materials, surface science and solid state devices for opto-electronics and energy harvesting applications as well as in the development of correlated and functional imaging techniques.
Atomically-Thin Heterostructures for Electronic and Photonic Applications
The isolation of a growing number of two-dimensional (2D) materials has inspired worldwide efforts to integrate distinct 2D materials into van der Waals (vdW) heterostructures. While a tremendous amount of research activity has occurred in assembling disparate 2D materials into “all-2D” van der Waals heterostructures, this concept is not limited to 2D materials alone. Given that any passivated, dangling bond-free surface will interact with another via vdW forces, the vdW heterostructure concept can be extended to include the integration of 2D materials with non-2D materials that adhere primarily through noncovalent interactions. In the first part of this talk I will present our work on emerging mixed-dimensional (2D + nD, where n is 0, 1 or 3) heterostructure devices. I will present our ongoing and recent work on integration of 2D materials with 3D semiconductors to realize novel, gate-tunable devices with record performances. I will present the underlying charge transport and photocurrent responses in both the above systems using a variety of scanning probe microscopy techniques as well as estimation of band alignments using computational methods.
The second part of talk will discuss my more recent work on photonic structures and photovoltiac devices from 2D semiconductors such as transition metal dichalcogenides (TMDCs). High efficiency inorganic photovoltaic materials (e.g., Si, GaAs and GaInP) can achieve maximum above-bandgap absorption as well as carrier-selective charge collection at the cell operating point. Similar opportunity exists for 2D chalcogenide semiconductors towards which we have made progress by light trapping in < 15 nm thick TMDC layers. I will present the fabrication and performance of our, broadband absorbing, heterostructure photovoltaic devices using sub-15 nm TMDCs as the active layers, with record high quantum efficiencies and open circuit voltages for high power conversion efficiences. I will then extend the concept of light trapping in TMDCs to explore fundamental light-matter interactions including observation of novel and tunable hybrid states. If time permits I will present our ongoing efforts on in-situ electron beam and near-field imaging of low-dimensional materials and heterostructures. I will conclude by giving a broad perspective of future work on 2D materials from fundamental science to applications.
Matthew C. Stamm is an Associate Professor in the Electrical and Computer Engineering Department at Drexel University. He heads the Multimedia and Information Security Laboratory (MISL) where he and his students conduct research on signal processing, machine learning, and information security. Much of his research focuses on multimedia forensics, which involves developing techniques to detect multimedia forgeries such as falsified images and videos. His research has been funded by the NSF, DARPA, the Army Research Office, the Defense Forensic Science Center, and the Defense Forensics and Biometrics Agency.
Dr. Stamm is the recipient of a 2016 CAREER Award from the National Science Foundation and Drexel University’s 2017 College of Engineering Outstanding Early-Career Research Achievement Award. He was the General Chair of the 2017 ACM Workshop on Information Hiding and Multimedia Security and the lead organizer of the 2018 IEEE Signal Processing Cup competition. He currently serves as a member of the IEEE SPS Technical Committee on Information Forensics and Security and as a member of the editorial board of IEEE SigPort.
Dr. Stamm earned his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Maryland, College Park in 2004, 2011, and 2012 respectively. For his dissertation research, he was awarded the Dean’s Doctoral Research Award in 2012 from the A. James Clark School of Engineering at the University of Maryland. Additionally, Dr. Stamm worked as a radar systems engineer at the Johns Hopkins University Applied Physics Laboratory from 2004 until 2006.
Multimedia Forensics – Using AI to Detect Image and Video Forgeries
Multimedia content such as images and video play a critical role in today’s society. It is used by news agencies during reporting, as evidence during criminal investigations, and as intelligence in many military and defense scenarios. At the same time, an information attacker can easily falsify multimedia content using “deepfake” software or editing tools such as Adobe Photoshop. This presents a major problem for society – How can we combat misinformation if it is so easy to fake multimedia content?
In this talk, I will discuss several algorithms to detect image and video forgeries using deep learning that we have developed here at the Multimedia and Information Security Lab (MISL) at Drexel. Instead of relying on extrinsic security measures such as cryptography, these techniques identify evidence of editing and falsification by exploiting traces intrinsically left in digital media by editing operations. Additionally, I will discuss how multimedia forensic techniques can determine the source of an image by utilizing traces left in an image by its source camera. These traces can be used as a trustworthy alternative to unreliable or easily falsifiable information sources such as metadata.
Xiaonan Lu (S’12-M’13) received his B.E. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2008 and 2013, respectively. From September 2010 to August 2011, he was a guest Ph.D. student at the Department of Energy Technology, Aalborg University, Denmark. From October 2013 to December 2014, he was a Postdoc Research Associate at the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville. From January 2015 to July 2018, he was with Argonne National Laboratory, first as a Postdoc Appointee and then an Energy Systems Scientist. In July 2018, he joined the College of Engineering in Temple University as an Assistant Professor. His research interests include modeling and control of power electronic inverters, hybrid AC and DC microgrids, resilient power systems with advanced power electronics, real-time hardware-in-the-loop simulation, etc. Dr. Lu is the Associate Editor of IEEE Transactions on Industrial Electronics, the Associate Editor of IEEE Transactions on Industry Applications and the Editor of IEEE Transactions on Smart Grid. He serves as the Vice Chair of the Industrial Power Converters Committee (IPCC) in IEEE Industry Applications Society (IAS) and the Secretary of the Joint Power Electronics (PELS) and IAS Chapter in Princeton/Central Jersey/Philadelphia.
Inverter Dominated Dynamic Microgrids with Interdependencies in Cyber and Physical Systems
Grid modernization has raised the increasing interests in power system resiliency enhancement. As the penetration level of distributed energy resources (DERs) increases rapidly, a distribution grid, as the active and most significant ‘grid-edge’ for DER integration, plays a crucial role to bridge the grid backbone (i.e., transmission system) to the end-users. A resilient, stable and secure distribution system is urgently needed to modernize electric grids and ensure operation continuity. As an effective entity of integrating DERs and local loads, microgrids have been widely deployed in modern distribution grids. In addition to single and individual microgrids, networked and dynamic microgrids with controllable and effective interconnections have been deployed and studied to advance resiliency enhancement, especially for critical infrastructures. Given the information exchange to ensure stable control and physical interactions between neighboring microgrids, networked and dynamic microgrids can be regarded as coupled cyber and physical systems with interdependencies across layers. In this presentation, a cross-layer and resilient control framework of networked and dynamic microgrids with stability guarantees will be discussed. Particular examples and use cases will also be introduced to verify the proposed control framework.
Dr. Stuart is an Associate Teaching Professor of Computer Science at Drexel University. Over a varied career, he has held industrial positions in areas including data storage, telecommunications, and logistics, as well as consulting in areas ranging from agriculture to medicine. In addition to Drexel, he has taught at Rhodes College and the University of Memphis. His interest in the history of computing was sparked by stumbling across the manual of operation for the Harvard Mark I while an undergraduate. That interest continues today with a small collection of computing artifacts he maintains, restores, and enhances in his basement. He hold degrees from the Rose-Hulman Institute of Technology, the University of Notre Dame, and Purdue University and has published a textbook on operating systems.
Everything Old Is New Again: The Value of Historical Research in Science and Engineering
Studying the origins of a field and studying the evolution of discoveries and developments is certainly a satisfying intellectual endeavor. In practical terms, it has often been the case that we find understanding how our predecessors saw things sheds new light on current techniques. Furthermore, new perspectives are one of the best sources of new developments. In this talk, we look at recent research into the design and development of the ENIAC and at what it can tell us about current and future computer design. Was the ENIAC a controversial sidebar of history, or was it the prototype of modern microarchitectures, FPGAs, and a new approach to realizing the power of Turing’s model?