phd computer science tandon

Interim Chair : Lisa Hellerstein

Mission Statement

The Department of Computer Science and Engineering is committed to preparing undergraduate and graduate students for leadership roles in professional and research activities in the information-technology sector. The department fosters an environment that encourages lifelong learning in the Information Age. Graduates lead and grow in diverse working environments and apply the theories and skills of computer science to real-world problems. Toward this end, the department conducts state-of-the-art research in theoretical and applied computer science and maintains strong educational programs that emphasize breadth and depth in technical knowledge and proficiency in spoken and written communication skills. The environment encourages Invention, Innovation and Entrepreneurship (i 2 e).

The Department

Computers are now used in practically every area of human endeavor and are radically changing both the way people live and how they view the limits of human capabilities. Job opportunities in computer science and engineering are challenging and diverse. According to the U.S. Bureau of Labor Statistics, current job growth in computer science is among the highest of any technical profession.

NYU Tandon’s Department of Computer Science and Engineering offers programs leading to a B.S., M.S. and Ph.D. in Computer Science   , and an M.S. in Cybersecurity   . The department offers joint programs with the Department of Electrical and Computer Engineering   , leading to a Computer Engineering, B.S.   , and the NYU School of Law, leading to a  Cybersecurity Risk and Strategy, M.S. (Offered jointly by the NYU School of Law and NYU Tandon School of Engineering)    The department also offers an advanced certificate in software engineering and cybersecurity and minors in Computer Science    and Game Engineering   .

The department is active in research in several key areas of computer science. Its particular strengths are in security and privacy; big data analysis and visualization; computer vision, game engineering; and algorithms and theoretical computer science.

The security and privacy concentration-also including cybersecurity, one of the largest growing fields in computer science-has research strengths in peer-to-peer security, digital forensics, biometrics, wireless security, and usable security. Big data analysis is strong in data management, computing, analyzing, and visualizing urban, scientific, and Web data. Computer vision puts a primary focus on medical image analysis. Game engineering focuses on computer graphics and perceptual science as well as artificial intelligence in gaming and player modeling. Finally, theoretical computer science is based in computational and discrete geometry, data structures, and machine learning.

The CSE department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. The faculty works closely with NYU Tandon’s Center for Advanced Technology in Telecommunications (CATT) and has relationships with industries that support research and activity in their special interests.

NYU Tandon School of Engineering has been designated as a Center of Excellence for Information Assurance Education for research by the National Security Agency (NSA) and operates the Scholarship for Service Program (SFS) in Information Assurance.

The department provides students with a wide variety of advanced computer and software systems. These support PC and UNIX technology along with highly distributed networks. The department has four dedicated computer-science laboratories (virtual lab) for upper-level undergraduate students. They are the Software Engineering Laboratory, Parallel and Distributed Systems Laboratory, Visualization and Graphics Laboratory and Computer System and Security Integration Laboratory. Multimedia and Web-based laboratories are also available.

NYU Tandon School of Engineering Computer Science and Engineering Department 370 Jay Street, 8th floor, rm 851 Brooklyn, NY 11201

Tel: (646) 997-3440 Web: http://engineering.nyu.edu/academics/departments/computer-science-engineering

Degrees Offered

Bachelor of Science

• Computer Engineering, B.S.    offered by the Computer Engineering Program    
• Computer Science, B.S.     
• Computer Science Minor    
• Game Engineering Minor    

Master of Science

• Computer Science Tandon, M.S.    
• Cybersecurity, M.S.    
• Cybersecurity Risk and Strategy, M.S. (Offered jointly by the NYU School of Law and NYU Tandon School of Engineering)    

Doctor of Philosophy

• Computer Science, Ph.D.    

Undergraduate Programs

For undergraduates, the department offers two degrees: a Bachelors of Science in Computer Science (B.S. CS) and a Bachelors of Science in Computer Engineering (B.S. CompE). The Bachelor of Science in Computer Science is a rigorous program that not only covers fundamental computer science subjects, such as object-oriented programming, computer architecture and operating systems, but also provides a number of exciting avenues for specialization including computer and online game development, cyber security, Internet/web systems and applications, bioinformatics, graphics and vision, digital media and management and entrepreneurship. Strong students can also apply to the B.S./M.S. Program where it’s possible to earn the B.S. and M.S. in computer science within approximately 5 years.

The department jointly administers the Bachelors of Science in Computer Engineering with the Department of Electrical and Computer Engineering. It draws on the two departments’ strengths to provide a focus on computer system design with integrated understanding of computer hardware and software.

Master’s Programs

The M.S. in Computer Science permits students to take courses either on a full-time or part-time basis. The curriculum has been designed for maximum flexibility. It includes fundamental courses in computer science as well as electives in specialized advanced courses on topics including computer and network security, distributed systems and networking, computer graphics, computer vision, databases and web search technology. By electing the masters-thesis option, students may also pursue research with faculty members who are internationally recognized in their fields.

The M.S. in Cybersecurity is a highly innovative program that provides students with the critical knowledge and skills to become experts in cybersecurity, the science of protecting vital computer networks and electronic infrastructures from attacks. The program responds to the growing demand for security specialists in industry as well as government organizations.

Ph.D. Program

The Ph.D. program develops graduate skills in a broad range of areas as well as expertise in one or more specific areas and the ability to think critically and conduct independent research. Outstanding Ph.D. students are advised to apply for financial aid in the form of teaching assistantships, research assistantships or partial-tuition remission.

Boris Aronov Ph.D., Courant Institute of Mathematical Sciences, New York University Algorithms, computational and combinatorial geometry

Juan Pablo Bello Ph.D., Queen Mary, University of London Digital signal processing, machine listening and music information retrieval, sound and music informatics

Juliana Freire Ph.D., State University of New York at Stony Brook Data analysis and visualization, Big Data, provenance management and analytics, scientific data management, large scale information, web information retrieval and analysis, web crawling, hidden web

Guido Gerig Ph.D., Swiss Federal Institute of Technology Zurich (ETH-Z) Image processing & analysis, medical image processing, 3D computer vision, shape analysis, spatiotemporal modeling

Lisa Hellerstein Interim Department Chair Ph.D., University of California at Berkeley Computational learning theory, machine learning, algorithms, complexity theory, discrete mathematics

Nasir Memon Ph.D., University of Nebraska Data compression, image and video processing, computer security, multimedia computation and communication

Keith W. Ross, Leonard J. Shustek Distinguished Professor Ph.D., University of Michigan Computer networking, Internet research, multimedia networking, scholastic modeling

Claudio T. Silva Ph.D., State University of New York at Stony Brook Big Data and Urban Systems, Visualization and Data Analysis, Geometry Processing

Torsten Suel Ph.D., University of Texas at Austin Design and analysis of algorithms, database systems, parallel computation, experimental algorithmics

Paul Torrens Ph.D., University College London Development and application of modeling and simulation tools for exploring and explaining complex urban systems

Associate Professors

Justin Cappos Ph.D., University of Arizona Practical security, virtualization, cloud computing, software update systems, testbeds

Yi-Jen Chiang Ph.D., Harvard University Computer graphics: out-of-core scientific visualization, isosurface extraction, surface simplification, virtual reality, air traffic control. Computer algorithms: I/O algorithms, computational geometry, graph algorithms, approximation algorithms, data structures

Rumi Chunara Ph.D., Harvard University Information retrieval, spatio-temporal analyses, data mining, machine learning and epidemiological methods for new data sources

Rachel Greenstadt Ph.D., Harvard University Designing more trustworthy intelligent systems via highly interdisciplinary approach by incorporating ideas from artificial intelligence, psychology, economics, data privacy, and system security

Damon McCoy Ph.D., University of Colorado, Boulder Security and privacy of large-scale systems

Julian Togelius Ph.D., University of Essex AI, player modeling, procedural content generation, automatic game design, believable bot behavior, coevolution, neuroevolution, genetic programming and monte carlo tree search

Edward Wong Ph.D., Purdue University Computer vision, image analysis, pattern recognition, computer graphics

Assistant Professors

Brendan Dolan-Gavitt Ph.D., Georgia Institute of Technology Program analysis, virtualization security, memory forensics, and embedded and cyber-physical systems

Chinmay Hedge Ph.D., Rice University Machine Learning, Algorithms, Big Data, Signal and Image Processing

Christopher Musco Ph.D., MIT Scalable machine learning, foundations of data science, numerical linear algebra, theory of algorithms, randomized algorithms, sketching and streaming

Julia Stoyanovich Ph.D., Columbia University Responsible data management and analysis practices

Qi Sun Ph.D., Stony Brook University Virtual/Augmented Reality, Computer Graphics, Computer Vision, Computational Perception

Industry Faculty

Greg Aloupis Ph.D., McGill University Algorithms

Peter DePasquale Ph.D., Virginia Polytechnic Computer Science Education, Cloud Computing, Web Development and Security

Ratan Dey Ph.D., New York University Privacy & Security, Online Social Networks, AI & Machine Learning, Big Data & Databases, Internet Measurement 

Jeffrey Epstein Cambridge University Computer Science Education, Cloud Computing, Web Development and Security

Daniel Katz-Braunschweig M.S., Iona College

Thomas Reddington M.S. Physics, University of Pittsburgh, PA Networking and networking security

Darryl Reeves Ph.D., Cornell University Computational biology, machine learning

Gustavo Sandoval M.S., California State University at Sacramento Machine Learning, Distributed Systems, Operating Systems, Mobile applications, and Project Management

Linda Sellie Machine Learning

John B. Sterling M.S., New York University Game programming, software development

Fred J. Strauss, Director of CSE programs in Melville Campus-Long Island M.S., Polytechnic Institute of New York Software engineering, project management, distributed systems

Itay Tal M.S., Tel-Aviv University

Global Network Faculty

Nizar Habash Ph.D., University of Maryland College Park Natural language processing and computational linguistic

Affiliated Faculty

Enrico Bertini Ph.D., Sapienza University of Rome in Italy Data visualization methods

Cameron Craddock Research professor

Semiha Ergan Ph.D., Carnegie Mellon University IT to support design, construction and operations of civil infrastructure systems

Chen Feng Ph.D., University of Michigan Robot vision and machine learning

Siddharth Garg Ph.D., Carnegie Mellon University Machine learning, cybersecurity and computer hardware design

Danny Y. Huang Ph.D., University of California, San Diego Cybersecurity, privacy, and Internet of things (IoT)

Ramesh Karri Ph.D., University of California, San Diego Trustworthy hardware, nanoscale architectures, and cybersecurity

Oded Nov Ph.D., Cambridge University Human computer interaction

Brandon Reagan Ph.D., Harvard University Computer architecture, hardware acceleration, and VLSI

Faculty Emeriti

Phyllis G. Frankl Ph.D., New York University Software analysis and testing

Haldun Hadimioglu Ph.D., Polytechnic University Computer architecture, parallel processing, reconfigurable systems and application specific processors

Kok-Ming Leung Ph.D., University of Wisconsin Scientific computing, computer simulation, neural networks

Henry Ruston

​ Martin Shooman Ph.D., Polytechnic Institute of New York

Stuart Steele

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Can someone explain the difference between Tandon and courant. Also, I got into GSAS (graduate school of arts and sciences) and I just want to confirm that it comes under nyu courant or CAS.

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HELP MAUI • JOB OPENINGS

Information and Computer Sciences

University of Hawai‘i at Mānoa

Current Ph.D. Students

Program requirements are specified here , and described in more detail on this page. Some degree requirements are imposed by the Graduate Division, which are explained in more detail on the Graduate Division Requirements page.

Program Objectives

The CS Ph.D. program is designed to help the student meet the following objectives: (1) Certify core competency in computer science and address any deficiencies in this competency as efficiently as possible, so that the bulk of the student’s Ph.D. program is focused on research. (2) Prepare to do research through an apprenticeship with a faculty member, demonstrating readiness to do research with a research portfolio that is analogous to a professional tenure and promotion portfolio. (3) Demonstrate contribution of new knowledge to one’s chosen field through a dissertation.

Getting Started with ICS 690

All new students (MS or PhD) must enroll in and pass ICS 690 in the first semester in which it is offered. Since it is offered in the fall, you should enroll in your first semester if you start in the fall, or in your second semester if you started in the spring. This course is supervised by the Graduate Chair and is CR/NC.

ICS 690 is designed to help orient new students to the program and to learn about faculty research areas and interests. It is also required to graduate. If you fail to take it in your first (or second) semester, you will be taking it later when it is no longer as helpful to you.

Completing a Masters’

Students shall complete a Masters’ degree in Computer Science or related field.

• What counts as “related” is at the discretion of the graduate program chair, assisted by the admissions committee.
• Those who enter without a MS shall go through the ICS MS program as part of their degree process.
• Students are considered to be in the “PhD portion” of their studies once they meet the requirement for the MS degree, even if it has not yet been awarded.

Portfolio: Research Readiness and Professional Capacity

By the end of the first year of the PhD portion of studies, the student will choose by mutual consent or be assigned a PhD program advisor. (This need not necessarily be the final PhD dissertation advisor.) The advisor will guide the student in preparing a portfolio that includes the following.

Contents of Portfolio

• Statement of purpose: A one to two page statement, written by the student, of the student’s professional interests in research, teaching, service, and/or product development.
• Evidence of MS degree
• Results of qualifying exam and evidence that any conditions have been met.
• (Optional:) Other evidence, such as professional employment in Computer Science.
• Thesis by the student from MS Plan A.
• Written Literature Review in the proposed area of study of 20-30 pages, following the graduate division dissertation format and reviewing at least 20 published works. (Ideally this review would be in the area identified in the Statement of Purpose and will become part of the dissertation proposal. However, if circumstances later require it, the student may elect to change the area of study at the proposal stage.)
• Publication(s) in reviewed journals or conferences that are relevant to the student’s professional interests. Evidence of quality such as acceptance rates or citation indexing should be provided. For multi-author publications, the student must provide a description of what his/her contribution was to the article.
• Technical report(s) on research project(s) relevant to the student’s professional interests that were supervised by a faculty member and read and approved by two other faculty members. ICS 699 projects may be included.
• Other Evidence of Professional Capacity (Optional): At the discretion of the student and the advisor, other material may be included in the portfolio. A professional vita of employment, professional presentations, reviewing of papers for conferences and journals, competitive fellowships or other external funding awards, patents, teaching, and service on committees or as graduate student representatives contribute to the candidacy decision. Letters of reference may also be included, but are not required. Students should report all forms of research, teaching, and service to the community and to the discipline when preparing their portfolios.

You may find Philip Johnson’s essay Why and how to create a high quality Ph.D. portfolio site useful.

Submission of Portfolio

It is strongly suggested that students submit their portfolio to the Graduate Chair as a URL that points to a Web page that contains all the required material, indexed in the four categories above, rather than providing hard copies.

Evaluation of Portfolio

Approval of the portfolio requires a two-thirds majority vote of a quorum of the ICS faculty (typically at a graduate committee meeting). The portfolio shall be distributed to the faculty at least one week in advance of the meeting at which it will be voted upon (but see Deadline below for student submission).

The graduate program chair shall designate two faculty members who shall review the portfolio and summarize arguments both pro and con, following criteria of academic review. Faculty that have a conflict of interest with the student (e.g., advisor or co-advisor, co-author on research articles, direct supervisor) cannot serve in this capacity. If the student feels there is a serious conflict with a faculty member that should preclude serving in this role the student should discuss it with the graduate chair or program chair more than a week in advance of the meeting.

The student’s advisor is strongly encouraged (but not required) to attend the portfolio review to provide relevant information, but may not vote or be selected as one of the two reviewers.

Deadlines for Portfolios

Portfolios should be submitted at least 10 days in advance of the graduate committee meeting in which they will be evaluated to allow for selection of faculty readers and distribution of materials. (Ask the graduate chair about scheduling.)

Students must submit their portfolio by the end of their second year in the Ph.D. portion of their studies, and must have their portfolio approved by the end of their third year of the Ph.D. portion of their studies.  Failing to meet either deadline will result in dismissal from the program.

The portfolio must be approved before undertaking the Proposal Defense.

Dissertation Committee

A Dissertation requires 5 committee members, including your advisor and a University Representative from outside your program. In addition to  committee requirements  of Graduate Division, an absolute majority of the dissertation committee must be Regular Graduate Faculty in ICS. A 6th member is permitted and can be a convenient way to include outside expertise after the internal requirements have been met. The student should choose committee members in consultation with his/her advisor.

Proposal Defense

Before commencing the final dissertation research, the student shall give a public defense of his or her PhD proposal. Students prepare a research proposal that includes a literature review in the chosen topic area (this usually is but is not required to be derived from the literature review from the portfolio) and a description of research topics to be investigated. This work should be done under the direction of an appropriate faculty advisor. After forming a committee, students take an oral examination covering their general preparation for the research involved, as specified in the General and Graduate Information Catalog. Once the student passes the proposal defense, Form II must be processed.

Scheduling the PhD Proposal Defense

• The student must confirm with the ICS Graduate Chair the eligibility of the proposed committee members before scheduling the defense. The student must submit the proposal title and abstract, a draft of the proposal including references, the proposed committee, and a brief justification of the appropriateness of committee members to the ICS Graduate Chair by 21 days before the proposal defense to allow time for this process.
• The student must schedule a proposal defense meeting at a time that the dissertation committee and the ICS Graduate Chair can attend, and arrange a room (physical or virtual). (If you want to use POST 302, contact the ICS office to reserve it.) The room should be scheduled for 3 hours, in case time is needed to discuss revisions to the work before it commences. (This may be the only time in your career that you receive the advice of 5 or more experts before starting your work, so don’t cut it short!)
• At least 14 days in advance of defending the proposal, the student must provide each member of the dissertation committee and the ICS Graduate Chair with a reading copy of the proposal. Students are encouraged to have received feedback from each committee member and revised the proposal accordingly, so that the proposal copy to be defended reflects at least one round of informed revision.
• At least 14 days in advance of defending the proposal, the student must distribute an announcement of the proposal defense that includes the title and abstract of the proposal by email to all ICS faculty members and graduate students. The announcement must specify the time and place of the defense and specify that the general public (including ICS faculty and students) are invited to attend. (Faculty may elect to do this on behalf of the student, but it is the student’s responsibility to ensure that the announcement is made.)

Grad chair as ex-officio member

Graduate program chairs have the privilege of being ex-officio (nonvoting) members of all committees in their program. Students should include the ICS graduate program chair when scheduling MS Plan A, Phd Proposal, or PhD Dissertation Defenses, and when distributing the associated document.

Final Defense

Students then conduct their research and write a dissertation under the direction of the advisor. The dissertation must be presented to and approved by a doctoral committee, as specified in the General and Graduate Information Catalog.

Scheduling the Ph.D. Final Defense

A . Scheduling of the final oral examination requires submission of the following information to the ICS Graduate Chair at least 21 days in advance of the intended examination date (to allow for resolving issues in time to meet the university requirement for a public announcement 14 days in advance):

• The intended date and time of the defense.
• The intended room, which has been reserved. The room should be reserved for at least 2.5 hours to allow sufficient time for follow-up discussion. (If you want to use POST 302, contact the ICS office to reserve it.)
• The title and abstract to be used for the announcement.
• (a) Written confirmation that the member can attend the specified date and time, except when remote participation or proxy has been approved, in which case the student shall attach appropriate approval forms (not needed for fully remote defenses during the pandemic);
• (b) A written indication of whether or not that member believes that there is reasonable evidence that the research will ready for defense by the specified date;
• (c) Optionally and independently of the judgment in (b), written comments concerning work that the committee member recommends be done before the defense for the research to be acceptable; and
• (d) Committee members may meet this requirement by sending (a-c) to the ICS Graduate Chair via email, with courtesy copy to the student and the dissertation chair.

B. Each committee member has the right to require a draft of the dissertation one week before approving scheduling of the formal defense. A committee member may opt to waive this right if that member already has sufficient evidence of defense readiness from prior communications with the student.

C. A majority of the committee must indicate that the research will be ready for the formal defense before the defense is scheduled. This majority must include the dissertation chair. Assent to schedule the defense does not constitute a promise that the student will pass.

D. At least 14 days in advance of the oral examination, the student shall complete all of the following:

• Meet all appropriate ICS and Graduate Division guidelines for the defense, including the official announcement in the University Calendar ( https://www.hawaii.edu/calendar/manoa/ )
• Distribute an announcement of the final defense that includes the title and abstract of the proposal by email to all ICS faculty members and graduate students. The announcement must specify the time and place of the defense and specify that the general public (including ICS faculty and students) are invited to attend. (Faculty may elect to do this on behalf of the student, but it is the student’s responsibility to ensure that the announcement is made.)
• Provide each member of the dissertation committee and the ICS Graduate Chair with a reading copy of the dissertation.

Dissertation Format. See the Graduate Division Style Policy for format requirements. The ICS department does not have further requirements: students and their advisors can make style and formatting decisions appropriate for the document as long as Graduate Division guidelines are followed. ICS graduate students have created a LaTeX template for the dissertation, which may be used by students writing their dissertation using LaTeX

Conducting the Final Ph.D. Defense

A. The student’s presentation shall not extend beyond one hour from the scheduled start time. Subsequently, all who attend shall be offered the opportunity to question the candidate during the public portion of the defense. However, only committee members participate in determining the outcome. The committee shall have the opportunity to discuss the defense in private (without the public or student present) immediately after the public event has ended and before signatures are requested. At this time, each committee member will assess the final dissertation document via departmental program assessment forms.

B. After the oral examination is complete, the dissertation committee members should sign Form III only when they are ready to indicate one of the following two outcomes:

• A “pass” if the dissertation research is adequate, and the student has successfully defended the dissertation research, and the dissertation document is accepted, possibly subject to specified modifications.
• A “fail” if any of the above conditions are not met.

C. Committee members should not sign “Doctorate – Dissertation Submission (Form IV”) until they believe that any necessary modifications are adequately completed. The student is responsible for providing each committee member with the evidence they require.

D. If the dissertation is accepted, the student shall provide the ICS program with a copy of the complete dissertation after all of the changes and corrections have been made. This copy shall become the property of the ICS program and will be made available to all interested students and members of the faculty.

E. If a dissertation is not accepted, the student may submit another dissertation, subject to Graduate Division and Program time limits.

If you have questions, contact the ICS Graduate Chair .

• Message from the Chair
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1st-year Ph.D. Student Reimbursement for a Computer Purchase

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All new to Cornell first year Information Science Ph.D. students are allowed a reimbursement for up to $1,500 USD toward the purchase of a laptop computer. This is a  one-time  reimbursement and cannot be used towards any other expenses. Students are eligible to request a reimbursement only after they have matriculated, registered and enrolled in classes, which is typically at the end of August. Students have up to one year from the response deadline of April 15 to purchase a laptop computer and request a reimbursement. After this date the reimbursement offer is voided.

If the computer equipment total is less than $1,500 you will not be given the balance, and for equipment that is more than $1,500 you will be responsible for the amount over the $1,500 cap. All equipment must be purchased at one time, and the receipt(s) submitted all together. Receipts must be in English and if the item(s) are purchased using foreign currency, please convert the amount to US currency.  

For reference, our students in the past have received a 13-inch MacBook Pro with Touch Bar (1.4GHz quadcore Intel Core i5 processor; 256GB SSD storage). This is just a suggestion on the type of laptop you may want to consider purchasing. Students should consult with their advisors if they have doubts on what specifications will be needed to support their research. We expect students to use this money to purchase equipment such as the items listed below:

• Laptop computer
• Desktop computer
• Monitor for a computer
• External Hard Drive
• Noise Canceling Headphones

Items that we will  not  reimburse for are listed below, but this is not limited to this list.  Again, please contact us if you are unsure before purchasing anything. 

• Parts to build your own computer
• Replacement of a stolen or broken piece of technology
• Service contracts (e.g., AppleCare)

A receipt with the total cost of the approved equipment and the  laptop policy form  need to be submitted to Seamus Buxton, [email protected], and the receipt(s) must be in English.

Note:  Students who are currently enrolled in a Ph.D. program at Cornell and are admitted through the Change of Program petition process are not eligible for this reimbursement.  Students should work with their advisor for any equipment purchases that are needed. 

If you are interested in applying, and have questions not answered above, please contact

us at:  [email protected] .  

In Memoriam: Fred Tonge, Professor Emeritus and Founding Member of ICS

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The UC Irvine community mourns the loss and celebrates the life of Fred Tonge, Professor Emeritus and founding member of the Department of Information and Computer Sciences (now the School of ICS ), and founding Director of Computing Facilities at UC Irvine.

The idea for the ICS program at UCI came from a 1965 workshop organized by UCI, with the participation of the University of Michigan, shortly after the establishment of the UC Irvine campus. Alongside UCI’s founding Chancellor Daniel Aldrich Jr., Professor Ralph Gerard and Michigan’s Professor Jim Miller, Professor Tonge welcomed researchers from academia, industry, and government — including IBM, Xerox, Stanford, and the National Science Foundation — to a five-day event on “ computers and universities .” Topics covered included Computer-Assisted Instruction (CAI) Learning Aspects, Technical Aspects, Library Administration, and Regional and National Networks.

In 1970, Tonge became the second chair of the Department of ICS and served again in 1974. His research interests included artificial intelligence, computers and educational technology, and management science, with over thirty publications in computer science and management science. He supervised eight completed doctoral dissertations.

Prior to joining UCI, Tonge was on the faculty at Carnegie-Mellon University and Oregon State University, where he served as Chairman of the Department of Computer Science. His industrial positions include the RAND Corporation and head of the Computer Systems Department at Tektronix, Inc., Computer Research Lab. He served several terms on the Computer Research Board and as a member and chairman of the U.S. Air Force Scientific Advisory Board, Information Processing Panel.

During his retirement, Tonge spent his time with his family, writing stage plays  and weaving. He was also a guest speaker at the ICS 50th Anniversary Celebration in 2018. That same year, the Fred M. Tonge Endowed Graduate Award was established to support ICS Ph.D. students.

“He was always kind, smart, funny, and inspirational,” says ICS alumnus Larry Rowe, who earned his Ph.D. in 1976 and was advised by Tonge. “I owe him a great debt for his guidance and teaching.”

“We’re grateful to Professor Tonge for his countless contributions to the School of ICS,” says Dean Marios Papaefthymiou. “Through the endowment, he continues to positively impact our students and help advance the computing field.”

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UMD Graduate Student Daniel Nichols Awarded 2024 ACM-IEEE HPC Fellowship

University of Maryland Department of Computer Science graduate student Daniel Nichols has been named the recipient of the 2024 ACM-IEEE CS George Michael Memorial High-Performance Computing (HPC) Fellowship . This prestigious award acknowledges Nichols' research at the intersection of machine learning and high-performance computing, specifically in advancing machine-learning-based performance modeling and adapting large language models (LLMs) for HPC applications.

The George Michael Memorial HPC Fellowship, established in honor of George Michael—one of the founders of the SC Conference series—recognizes exceptional Ph.D. students globally whose research centers on high-performance computing applications, networking, storage, or large-scale data analytics. The fellowship includes a $5,000 honorarium and covers travel expenses for recipients to attend the annual SC conference, where the award is formally presented.

Nichols’ research addresses key challenges in performance modeling within the HPC domain, an area that is becoming increasingly crucial as computational demands continue to grow. His work focuses on developing machine-learning-based performance models that utilize all available performance data when predicting code runtime properties. Traditional performance models in HPC often rely on limited datasets, which can lead to inaccuracies and inefficiencies. By leveraging advancements in representation learning, Nichols aims to create models that offer more comprehensive and reliable predictions, ultimately enhancing the efficiency and applicability of performance models in HPC environments.

In addition to his work on performance modeling, Nichols has made significant contributions to the application of large language models in HPC. His research in this area seeks to adapt state-of-the-art LLM techniques to meet the specific needs of HPC applications, which often involve complex, scientific and parallel code. The challenges in this domain are substantial, as LLMs typically excel in general-purpose language tasks but require significant adaptation to handle the intricacies of HPC code.

Nichols’ approach involves creating LLMs that are specifically tailored to the unique demands of scientific and parallel computing. These specialized models aim to improve the performance of HPC development tasks, allowing researchers and scientists to focus more on their domain-specific research rather than the complexities of HPC development. 

The Association for Computing Machinery (ACM) is the world’s largest educational and scientific computing society, bringing together computing educators, researchers and professionals to inspire dialogue, share resources and address challenges in the field. ACM amplifies the collective voice of the computing profession through leadership, promotion of high standards and recognition of technical excellence. The organization supports its members' professional growth by offering opportunities for lifelong learning, career development and networking.

—By Samuel Malede Zewdu, CS Communications

—Adapted from a press release by ACM

The Department welcomes comments, suggestions and corrections.  Send email to editor [-at-] cs [dot] umd [dot] edu .

Language Technologies Institute

School of computer science.

Ph.D. in Language and Information Technology

Ph.D. students are expected to publish papers about original research in the most competitive scientific journals and international conference proceedings, and to present their research at conferences and workshops. Most of our Ph.D. graduates become professors and research scientists, while a few have started their own companies.

Requirements

• Pass at least 96 units of graduate-level courses.
• Satisfy proficiencies in writing, presentation, programming and teaching; and
• Propose, write and defend a Ph.D. dissertation (thesis).
• Students must also attend the LTI Colloquium each semester and satisfy our Research Speaking Requirement.
• At least 72 units of LTI courses: Must include one class in each LTI focus area.
• At least 24 units of SCS courses.
• At least two lab courses in two different research areas.

Here's a sample of what your five-year schedule might look like:

Course Categories

Ph.d. program intranet.

To Apply: Please see the Apply link near the top of this page.

Application Fee Waivers: Appliation fee waivers may be available in cases of financial hardship. For more information, please refer to the School of Computer Science Fee Waiver page .

Cost: Please see Carnegie Mellon's Cost of Attendance web page for the School of Computer Science.

Requirements The School of Computer Science requires the following for all Ph.D. applications. (Please note, these requirements may change for future application cycles.)

• GRE scores: GREs are now optional. If you want to submit GRE scores, they must be less than five years old. The GRE Subject Test is not required, but is recommended. Our Institution Code is 2074; Department Code is 0402.
• TOEFL scores: Required if English is not your native language. No exceptions. These scores may be more than two years old if you have pursued or are pursuing a bachelor's or graduate degree in the United States. (While the TOEFL is preferred, the IELTS test may also be submitted.) Successful applicants will have a minimum TOEFL score of 100. Our Institution Code is 4256; the Department Code is 78.
• Official transcripts from each university you have attended, regardless of whether you received your degree there.
• Current resume.
• Statement of Purpose.
• Three letters of recommendation.
• For more details on these requirements, please see the SCS Doctoral Admissions page.
• A short (1-3 minute) video of yourself. Tell us about you and why you want to come to CMU. This is not a required part of the application process, but it's strongly suggested.
• Any outside funding you are receiving must be accompanied by an official award letter.
• No incomplete applications will be eligible for consideration.

Program Contact

For more information about the Ph.D. program, contact Stacey Young.

Program Handbook

New York University Tandon School of Engineering
2020-2022 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG] The minor in Computer Science consists of a minimum of 15 credits including CS-UY 1134    and CS-UY 2124   . 1  Students must obtain a grade of C- or better in CS-UY 1114    (Intro. to Programming and Problem Solving) or CS-UY 1123 Problem Solving and Programming II    or a grade of A- or better in CS-UY 1133    or permission of the department and satisfy the pre-requisite requirements before enrolling in these courses. 2 Students must maintain an average of 2.0 or better in the entire minor. In addition, a required CS course in a BS curriculum cannot be used to satisfy the course requirements in the CS minor. For transfer students, a least three of the five courses must be taken at the NYU Tandon School of Engineering. For more information about the minor, contact the Computer Science Department’s undergraduate academic adviser. 1 Students who entered NYU Tandon prior to FA16 may take CS-UY 1124 Object Oriented Programming    and CS-UY 2134 Data Structures and Algorithms    instead of CS-UY 1134 and CS-UY 2124. 2 CS-UY 1113, 1123, 1114, and CS-UY 1133 do not count toward the minor requirements. 200 IMAGES Computer Science, Ph.D. Computer Science, M.S. Certificate Program Offers A Gateway To In Demand Computer Science And NYU Tandon Computer Science Faculty James Tandon, Ph.D Gauransh TANDON COMMENTS Computer Science, Ph.D. Curriculum. To receive a Ph.D. in Computer Science at the NYU Tandon School of Engineering, a student must: satisfy all School of Engineering requirements for the Ph.D. degree, as described in the NYU Tandon School of Engineering bulletin, including graduate study duration, credit points, GPA, and time-to-degree requirements. Program: Computer Science, Ph.D. To receive a PhD in Computer Science at the NYU Tandon School of Engineering, a student must: satisfy a breadth course requirement, intended to ensure broad knowledge of computer science, ... A Master of Science in Computer Science may be transferred as 30 credits without taking individual courses into consideration. Other graduate coursework ... Computer Science (PhD) To receive a PhD in Computer Science at the NYU Tandon School of Engineering, a student must: satisfy a breadth course requirement, intended to ensure broad knowledge of computer science, satisfy a depth requirement, consisting of an oral qualifying exam presentation with a written report, to ensure the student's ability to do research, ... Frequently Asked Questions Yes, students may pursue their PhD research abroad with NYU faculty in Abu Dhabi or Shanghai. You can indicate your interest in these campuses within the Tandon Graduate Admissions portal where prompted. Doing so will mean you will be considered for admission to these campuses, in addition to Brooklyn, unless you indicate a sole preference. Computer Science and Engineering If you want to be a part of all that, Computer Science and Engineering might be the course of study for you. Whether you want to protect vital data from malicious hackers by studying cyber security, harness the power of Big Data to improve the world, or create game-changing methods of game development and design, NYU Tandon has a program that fits. Computer Science, Ph.D. Program By New York University Tandon School of Most full-time Ph.D. students have scholarships that cover tuition and provide a monthly stipend. Admission is highly competitive. NYU Tandon School of Engineering seeks creative, articulate students with undergraduate and master's degrees from top universities worldwide. Their current research strengths include data management and analysis, cybersecurity, computer games, visualization, web ... PhD in Computer Science The Tandon School of Engineering offers a PhD in Computer Science. Cybersecurity is a particular research strength of the program. ... Learn more and apply to the PhD in Computer Science through the Tandon School of Engineering. NYU Center for Cyber Security. [email protected]. NYU Tandon School of Engineering. 370 Jay St., 10th Floor, Brooklyn, NY ... Computer Science In addition, the department requires that at least 28 credits in computer science, as well as CS-UY 4513 and CS-UY 4523 , be completed at NYU Tandon. Graduates of technology programs may be able to fulfill the requirements for the BS in Computer Science in two to three and one-half years, depending on the scope and level of their previous ... Department of Computer Science and Engineering According to the U.S. Bureau of Labor Statistics, current job growth in computer science is among the highest of any technical profession. NYU Tandon's Department of Computer Science and Engineering offers programs leading to a BS, MS and PhD in Computer Science , and an MS in Cybersecurity . CS at CAS and Tandon NYU has two excellent computer science departments, one in the the College of Arts and Science and one in the Tandon School of Engineering. Both offer degree programs at the undergraduate, masters and PhD level and have vibrant research programs. Graduates of both programs have excellent job prospects and are well prepared for graduate study. Computer Science Tandon (MS) The MS in Computer Science has several specific GPA requirements. 1. Core GPA: A core GPA of 3.0 or higher is required in the algorithms and core courses. The core GPA is calculated based on the grades earned in these five courses. 2. Capstone GPA: A GPA of 3.0 or higher is required in the capstone course. PhD Admission For admissions inquiries specific to the PhD program in Computer Science: [email protected]. For information regarding open houses for prospective PhD students. GSAS Graduate Fairs and Open Houses. Learn about the admissions process for the PhD Program at the Computer Science Department at New York University's Courant Institute. PhD Degree Requirements To receive a PhD in Computer Science at NYU, a student must: 1. Breadth requirements. The breadth requirement form is availabe on the forms page for PhD students. Rationale: The breadth requirement is designed to ensure competence across three broad areas of computer science: theory, systems, and applications. Doctor of Philosophy Undergraduate Graduate Digital Learning ... and airports. Tandon's Ph.D. in Civil Engineering program produces graduates dedicated to enriching the field. On Campus. Computer Science, Ph.D. Ph.D. students in our Computer Science program can conduct groundbreaking research with the faculty of our interdisciplinary Center for Cyber Security. ... Department of Computer Science and Engineering NYU Tandon's Department of Computer Science and Engineering offers programs leading to a B.S., ... The Ph.D. program develops graduate skills in a broad range of areas as well as expertise in one or more specific areas and the ability to think critically and conduct independent research. Outstanding Ph.D. students are advised to apply for ... Can someone explain the difference between Tandon and courant ... Courant handles the mathematics (including financial math) and computer science coursework for the entirety of NYU. Tandon is NYU's engineering school, but also teaches Math, Physics, and CS; the math, and I guess the CS, advising is done through Courant; however, upon graduation from Tandon or CAS in math or CS, your degree will have the name ... Program: Computer Science Tandon, M.S. The NYU Tandon Bridge course is taught by faculty members of the Computer Science department at the NYU Tandon School of Engineering, aided by NYU Tandon Graduate student teaching assistants. Students will participate in interactive online modules, live webinars, assignments, and tests. Learn more: Computer Science Bridge Program Current Ph.D. Students The CS Ph.D. program is designed to help the student meet the following objectives: (1) Certify core competency in computer science and address any deficiencies in this competency as efficiently as possible, so that the bulk of the student's Ph.D. program is focused on research. 1st-year Ph.D. Student Reimbursement for a Computer Purchase All new to Cornell first year Information Science Ph.D. students are allowed a reimbursement for up to $1,500 USD toward the purchase of a laptop computer. This is a one-time reimbursement and cannot be used towards any other expenses. Students are eligible to request a reimbursement only after they have matriculated, registered and enrolled in classes, which is typically at the end of August ... Computer Science, M.S. The NYU Tandon Bridge course is taught by faculty members of the Computer Science department at the NYU Tandon School of Engineering, aided by NYU Tandon Graduate student teaching assistants. Students will participate in interactive online modules, live webinars, assignments, and tests. Go to: Computer Science Bridge Program Computer Science Ph.D. The Computer Science Ph.D. program typically requires two to four years beyond the M.S. degree. Most Computer Science Ph.D. students study at Clemson University in Clemson, SC, but may also study at the Zucker Family Graduate Education Center in Charleston, SC. The program cannot be completed online. In Memoriam: Fred Tonge, Professor Emeritus and Founding Member of ICS In 1970, Tonge became the second chair of the Department of ICS and served again in 1974. His research interests included artificial intelligence, computers and educational technology, and management science, with over thirty publications in computer science and management science. He supervised eight completed doctoral dissertations. Ultimate guide to JEE and IIT for engineering aspirants For post-graduate admissions in M.Tech (Master of Technology), M.Sc (Master of Science), and M.Des (Master of Design), students have to undertake exams like GATE (Graduate Aptitude Test in ... Computer Science Tandon, M.S. Computer Science Tandon, M.S. Print-Friendly Page (opens a new window) ... Graduate­-level courses from outside of the department (at most two) may be chosen as electives. ... Bridge to NYU Tandon Program is a prerequisite course recommended to those interested in applying for the C omputer Science Tandon Master's Degree who are lacking a ... Artificial Intelligence Courses and Programs These courses are designed for medical professionals and those in computer or data science within healthcare. Familiarity with statistics and programming is helpful but not required. Interest or experience in healthcare is recommended. View Courses & Programs Tuition, Financial Aid and Scholarships A scholarship committee automatically reviews all applicants to full-time Master's programs at NYU Tandon School of Engineering. Awarding scholarships to admitted students is based on multiple factors, including academic performance (grades, exam scores, etc.). Scholarships are exclusively awarded for use for the fall and spring semesters ... UMD Graduate Student Daniel Nichols Awarded 2024 ACM-IEEE HPC University of Maryland Department of Computer Science graduate student Daniel Nichols has been named the recipient of the 2024 ACM-IEEE CS George Michael Memorial High-Performance Computing (HPC) Fellowship.This prestigious award acknowledges Nichols' research at the intersection of machine learning and high-performance computing, specifically in advancing machine-learning-based performance ... PhD in LTI For more information, please refer to the School of Computer Science Fee Waiver page. Cost: Please see Carnegie Mellon's Cost of Attendance web page for the School of Computer Science. Requirements The School of Computer Science requires the following for all Ph.D. applications. (Please note, these requirements may change for future application ... Computer Science, B.S. The Bachelor of Science in Computer Science is a rigorous program that not only covers fundamental computer science subjects - such as object-oriented programming, computer architecture, and operating systems. The School of Engineering also offers a BS/MS Program that lets you earn 2 degrees at once. Program: Computer Science Minor The minor in Computer Science consists of a minimum of 15 credits including CS-UY 1134 and CS-UY 2124 . 1 Students must obtain a grade of C- or better in CS-UY 1114 (Intro. to Programming and Problem Solving) or CS-UY 1123 Problem Solving and Programming II or a grade of A- or better in CS-UY 1133 or permission of the department and satisfy the pre-requisite requirements before enrolling in ... assignment essay homework paper report resume review speech thesis