ACM SIGCOMM 2023, New York City, US

ACM SIGCOMM 2023 Networking Networking Women Professional Development Workshop (N2Women’23)

The 13th N2Women workshop aims to foster professional networking among women in computer networking and related research fields in which women are traditionally underrepresented.

Its goal is to:
  • Connect newer generations of networking women researchers with the community and create mentorship relationships;
  • Create a research forum in which students and junior researchers learn and discuss current trends in networking, present their research and receive feedback;
  • Engage a diverse body of junior researchers in the field.

The workshop welcomes women, but also underrepresented minorities of any gender identity, students, and men who share the same research interests and face the same career hurdles.

We hope you join us for a full day of events, including talks and discussions on careers in networking, mentorship sessions, and technical sessions where, in particular, junior researchers will present their research as poster presentations.


  • Sunday, September 10, 2023

  • 8:30am–9:15am      Welcome and Registration (CSB 451)

  • 9:15am–10:00am      Keynote 1 (CSB 451)

  • Title: A Personal Reflection Diversity, Equity, and Inclusion in Computing

    Speaker: Tanzeem Choudhury

    • Biography: Tanzeem Choudhury is a Professor of Computing and Information Sciences at Cornell Tech where she holds the Roger and Joelle Burnell Chair in Integrated Health and Technology. From 2021-2023, she served as the Senior Vice President of Digital Health at Optum Labs and is a co-founder of HealthRhythms Inc, a company whose mission is to add the layer of behavioral health into all of healthcare. At Cornell, she directs the People-Aware Computing group, which focuses on innovating the future of technology-assisted well-being. Tanzeem received her PhD from the Media Laboratory at MIT and her undergraduate degree in Electrical Engineering from University of Rochester. She has been awarded the MIT Technology Review TR35 award, NSF CAREER award, TED Fellowship, Kavli Fellowship, ACM Fellow, Ubicomp 10yr Impact Award (2016, 2022), and has been elected as an ACM Fellow and inducted into the ACM SIGCHI Academy.


  • 10:00am-10:15am Break

  • 10:15am–11:30pm      Lightning Talks and Poster Session 1 (CSB 451)

  • Scalpel: Diagnosing Distributed Routing Configurations Using Symbolic Execution

    Rulan Yang (Xiamen University)

  • Replication and Extension of “Revisiting TCP Congestion Control Throughput Models & Fairness Properties at Scale

    Vinita Parasrampuria, Sai Meghana Kuchana, Ashutosh Srivastava, Fraida Fund, Shivendra Panwar (NYU Tandon School of Engineering)

  • Towards Accurate and Efficient Detection of Slow Attacks in a Programmable Data Plane

    Cuidi Wei, Timothy Wood (George Washington University)

  • Reducing Write Tail Latency of Distributed File System Using In-Network Chasing

    Xiwen Fan (Xiamen University)

  • Which Factors Impede In-Network DPI on Programmable Switches

    Chengjin Zhou, Tianle Ma, Song Liu, Lingjun Pu (Nankai University)

  • Towards Consolidated Algorithms for Co-located Network Functions on Programmable Data Planes

    Minmei Wang (University of Connecticut), Zaoxing Liu (University of Maryland), Yi Liu, Shouqian Shi, Chen Qian (University of California Santa Cruz)

  • Daily Functioning Assessment and Pyschotherapeutic Intervention via Connected Devices

    Jingping Nie (Columbia University), Hanya Shao (Kensington Wellness), Minghui Zhao ,Stephen Xia, Matthias Preindl, Xiaofan Jiang (Columbia University)

  • Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders

    Yajie Zhou, Jason Li, Gianluca Stringhini, Ayse K. Coskun, Zaoxing Liu (Boston University)

  • KNEW: Key Generation using NEural Networks from Wireless Channels

    Xue Wei, Dola Saha (University at Albany, SUNY)

  • Trustworthy Sketch-based QoE Measurement for Splitting the Bill in 5G Networks

    Zeying Zhu, Zaoxing Liu (University of Maryland), Stefan Saroiu, Alec Wolman (Microsoft)

  • Fine-grained Network Telemetry Imputation

    Fengchen Gong, Divya Raghunathan, Aarti Gupta, Maria Apostolaki (Princeton University)

  • An Internet Traffic Map of Service Delivery Patterns as Seen from a Residential Network

    Shuyue Yu, Thomas Koch, Gil Zussman, Ethan Katz-Bassett (Columbia University)

  • Intrusion Detection in IoT using Machine Learning

    Dongjin Li, Nahid Ebrahimi Majd (California State University San Marcos)

  • Accuracy-Latency Trade-off With Joint Offloading-Compression Decision At The Edge

    Minoo Hosseinzadeh (University of Kentucky), Nathaniel Hudson (University of Chicago), Xiaobo Zhao (Uppsala University), Hana Khamfroush (University of Kentucky)

  • Autonomic Service Placement in Fog Computing

    Paridhika Kayal (University of Toronto)

  • Accelerating In-Network Applications with On-Fiber Photonic Computing

    Mingran Yang, Zhizhen Zhong, Manya Ghobadi (MIT)

  • mmWall: A Steerable, Transflective Metasurface for mmWave Networks

    Kun Woo Cho, Kyle Jamieson (Princeton University)

  • Optimal Attack Detection of Interconnected Computer Networks

    Armita Kazeminajafabadi, Mahdi Imani (Northeastern University)

  • 11:30am-1:00pm Lunch (CSB 452)

  • 1:00pm–1:45pm      Keynote 2 (CSB 451)

  • Title: Networking in the era of Generative AI: Opportunities and Challenges

    Speaker: Sujata Banerjee

    • Abstract: Recent advances in AI and machine learning are presenting exciting new opportunities as well as challenges for computing and networking infrastructure. First, efficient infrastructure support for demanding AI workloads is of critical importance. Secondly, developing data-driven AI-enabled network operations with radical simplification of complex edge-to-cloud network infrastructure management is an exciting direction. Finally, using generative AI based productivity tools could significantly change how new network capabilities are designed, developed, deployed and debugged in the future. An important consideration is that generative AI capabilities are not perfect yet and require careful thought in how and where they can be safely deployed. This talk will focus on emerging approaches and the associated research problems.

      Biography: Sujata Banerjee leads the VMware Research Group (VRG) whose mission is to create novel technologies and unique differentiation for VMware’s technology portfolio, and advance the state of the field through external impact on the research community. She co-leads the ML Program Office within VMware’s Office of the CTO. Sujata’s research has spanned software defined networking, network function virtualization, network energy efficiency, measurement and automation. She served as the technical program co-chair of the ACM SIGCOMM 2020, USENIX NSDI 2018 and ACM SOSR 2017 conferences. She was a member of the Computing Community Consortium (CCC) Council of the Computing Research Association (CRA) from 2019-2023, and is currently serving on the board of the CRA's committee for widening participation (CRA-WP). She is on the scientific advisory committee of the FABRIC programmable research infrastructure. In 2020, she served in the AI working group of the FCC’s Technology Advisory Council and was the vice-chair of ACM SIGCOMM (2019-2021). She has over 40 US patents, is a recipient of the U.S. National Science Foundation (NSF) CAREER award in networking research and is a Fellow of the IEEE. She was honored to be named in the list of 2018 N2Women: Stars in Computer Networking and Communications. Prior to VMware, she was a director and distinguished technologist at Hewlett Packard Enterprise Labs, leading research on enterprise, service provider and datacenter networks. Before her industrial research career, she held a tenured Associate Professor position at the University of Pittsburgh.


  • 1:45pm–2:45pm      Panel Discussion (CSB 451)

  • Panelists: Jia Wang (AT&T), Elza Erkip (New York University), Xia Zhou (Columbia University), Maria Apostolaki (Princeton University)

    • Jia Wang is a Fellow of IEEE and a Lead Inventive Scientist at AT&T Labs – Research. Jia received her PhD in Computer Science from Cornell University in January 2001. Her research expertise lies in computer networks and networked systems. She works in the areas of network measurement and service performance analysis, network design and management, routing and security, mobile and wireless network, software define network, machine learning for networking.

      Elza Erkip is an Institute Professor in the Electrical and Computer Engineering Department at New York University Tandon School of Engineering. She received the B.S. degree in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, USA. Her research interests are in information theory, communication theory, and wireless communications. Dr. Erkip is a member of the Science Academy of Turkey and is a Fellow of the IEEE. She received the NSF CAREER award in 2001, the IEEE Communications Society WICE Outstanding Achievement Award in 2016, the IEEE Communications Society Communication Theory Technical Committee (CTTC) Technical Achievement Award in 2018, and the IEEE Communications Society Edwin Howard Armstrong Achievement Award in 2021. She was the Padovani Lecturer of the IEEE Information Theory Society in 2022. Her paper awards include the IEEE Communications Society Stephen O. Rice Paper Prize in 2004, the IEEE Communications Society Award for Advances in Communication in 2013 and the IEEE Communications Society Best Tutorial Paper Award in 2019. She was a member of the Board of Governors of the IEEE Information Theory Society 2012-2020, where she was the President in 2018. She was a Distinguished Lecturer of the IEEE Information Theory Society from 2013 to 2014.

      Xia Zhou is an Associate Professor in the Department of Computer Science at Columbia University, where she directs the Mobile X laboratory. Before joining Columbia in 2022, she was a faculty member in the Department of Computer Science at Dartmouth College. Her research interests lie broadly in mobile computing with recent focuses on light based communication and sensing, mobile sensing, and human-computer interactions. She is a recipient of the Presidential Early Career Award (PECASE) in 2019, SIGMOBILE RockStar Award in 2019, the Karen E. Wetterhahn Memorial Award for Distinguished Creative and Scholarly Achievement in 2018 and named as N2Women: Rising Stars in Networking and Communication in 2017. She has also won the Sloan Research Fellowship in 2017, NSF CAREER Award in 2016, and Google Faculty Research Award in 2014. She received her PhD at UC Santa Barbara in 2013 and MS at Peking University in 2007.

      Maria Apostolaki joined Princeton University as an Assistant Professor of Electrical and Computer Engineering in August 2022. She is associated with the CS Department, CITP and DeCenter. Her research draws from networking, security, blockchain, and machine learning. Overall, her goal is to design and build networked systems that are secure, reliable and performant. Maria has been named a rising star in Computer Networking and Communications (2021), and was the recipient of the Google Research Scholar Award (2023), Commendation for Outstanding Teaching (2023), and the IETF/IRTF Applied Networking Research Prize (2018).


  • 2:45pm-3:00pm Break

  • 3:00pm–4:15pm      Lightning Talks and Poster Session 2 (CSB 451)

  • Low Power Consumption and Effective Bandwidth Optimization in MIMO LTE Using FDADFE

    Sirajum Munira (University at Albany), A.K.M. Fazlul Haque (Daffodil International University)

  • Impact of the Transport Layer on Video Streaming Performance over 5G networks

    Nawel Alioua, Elizabeth M. Belding (University of California Santa Barbara)

  • A novel MAC Protocol for In-band Full Duplex Wireless Multi-hop Networks

    Raqeebir Rab (Ahsanuallah Univ. of Sci. & Tech.), Md. Abubakar Siddik, Ashikur Rahman (Bangladesh Univ. of Engg. & Tech.)

  • Characterizing Cellular Speed Test Performance: An In-Depth Analysis of What Matters

    Varshika Srinivasavaradhan, Udit Paul (University of California Santa Barbara), Ellen Zegura (Georgia Institute of Technology), Elizabeth M. Belding (University of California Santa Barbara)

  • System Integration of Wideband Real-Time Adaptive Full-Duplex Radios

    Ahuva Bechhofer, Alon Levin, Igor Kadota, Sasank Garikapati, Bo Zhang, Aditya Jolly, Manav Kohli, Mingoo Seok, Harish Krishnaswamy, Gil Zussman (Columbia University)

  • RDMA Out-of-Order

    Sana Mahmood, Soudeh Ghorbani (Johns Hopkins University)

  • Duplicate Suppression in Multi-Access NDN Networks using Reinforcement Learning

    Bidhya Shrestha, Saurab Dulal, Lan Wang (University of Memphis)

  • LightTrain: A Scalable Photonic Approach for Training Neural Networks on Edge Devices

    Lingling Fan, Dirk Englund, Manya Ghobadi (MIT)

  • Medium energy gamma-ray Compton imaging camera for astrophysics and space probing

    Sanjoli Narang, Abhijeet Ghodgaonkar, Sudhanshu Nimbalkar, Hrishikesh Belatikar, Amit Shetye, Sourav Palit, Aditi Marathe, Siddharth Tallur, Varun Bhalerao (Indian Institute of Technology Bombay), Santosh Vadawale (PRL Ahemadabad), Sanjoli Narang (Massachusetts Institute of Technology)

  • Application-Driven Digital Twin of NextG Cellular Networks

    Ushasi Ghosh, Ish Kumar Jain, Dinesh Bharadia (University of California San Diego)

  • Evaluation of IPv6-only-Capable Iterative Resolvers

    Momoka Yamamoto, Jin Nakazato, Romain Fontugne, Manabu Tsukada, Hiroshi Esaki (the University of Tokyo)

  • Towards Multi-user Live Volumetric Video Streaming on Mobile Devices

    Yu Liu (University of Minnesota, Twin Cities), Bo Han (George Mason University), Feng Qian (University of Minnesota, Twin Cities)

  • Identifying CDN Replica Selection in the Wild

    Rashna Kumar (Northwestern University), Marcel Flores (Edgio), Fabian E.Bustamante (Northwestern University)

  • Designing Transparent Machine Learning Software Systems

    Deepa Muralidhar, Ashwin Ashok (Georgia State University)

  • Qubit-to-Processor Mapping for Distributed Quantum Computing in Quantum Networks

    Yingling Mao, Yu Liu, Yuanyuan Yang (Stony Brook University)

  • Scheduling in Data-Center Networks

    Sabrina Hatch (Smith College), Miguel Alves Ferreira, Justine Sherry (Carnegie Mellon University)

  • ASTRA: Adaptive Streaming System for Real-Time Video Analytics

    Mahshid Ghasemi, Zoran Kostic, Javad Ghaderi, Gil Zussman (Columbia University)

  • 4:15pm-4:30pm Break

  • 4:30pm–5:30pm      Mentoring Session (CSB 453 and CSB 480)

  • 5:30pm–5:40pm      Closing Remarks (CSB 451)

Important Dates

  • July 28, 2023

    Poster submission deadline

  • August 5, 2023

    Notification of acceptance

  • September 10, 2023

    Workshop date

Call for Posters

Posters are solicited for research related to any aspect of networking and communications. All researchers in the networking and communications fields are welcome to submit their work for presentation at this workshop.

Posters will not be published and can therefore be under submission to other conferences or workshops. Authors of accepted posters will be required to present their work as part of a lightning presentation session. Presenting a poster is a great opportunity, especially for students and junior researchers, to extend the visibility of their work and to obtain interest.

The best poster will be awarded a Best Poster Award and runners-up will receive an honorable mention.

Poster Submission

Each submission should be formatted as an extended abstract, describing the research to be presented in the poster. All submissions should be written in English with a maximum paper length of 2 printed pages including all figures and excluding references. Authors must follow the standard ACM two-column conference format with 10-pt font size. The extended abstract must include the names, affiliations and email addresses of all authors and should be submitted as a single PDF file.

Submit your poster abstract at

Call for Mentors

The N2Women workshop will offer one-on-one mentoring sessions for students and junior researchers. In an effort to broaden participation, we are soliciting applications to be a mentor on the workshop. We encourage researchers of all gender identities and different career phases to apply here.

Participation and Travel Grants

N2Women is pleased to provide travel grants to its annual workshop and encourages participants to apply. The travel grants will be given to applicants who actively participate in the N2Women workshop by either submitting a poster or serving as a mentor. Priority will be given to applicants who are women, under-represented groups in their country of residence, and people with disabilities.

How to apply?

N2Women runs a joint travel-grant applications process with SIGCOMM’23. Please refer to SIGCOMM'23 travel grant page at for information about how to apply, the format of the application, and the selection criteria. Make sure to mention in your application that you want to be considered for the N2Women travel grant. Additionally, indicate whether you are submitting a poster or serving as a mentor.

Travel support

Travel grant awards are meant to cover the cost of attending the N2Women workshop in person ($1000~$2000). The cost may be fully or partially covered based on the individual needs of the applicants. Note that the award recipients will need to pay for the expenses ahead of time and get reimbursed after the N2Women workshop.

For any questions, please contact the N2Women Workshop co-chairs.


  • Workshop Chairs
  • Bo Wang

    Tsinghua University, China

  • Bashima Islam

    Worcester Polytechnic Institute (WPI), USA