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Found 237 results

  1. Hi All, Each year we organize a Summer School for senior undergraduate students. This year, the four-day fully-catered event will be from July 3rd until July 6th, inclusive. The Summer School will consist of wide-ranging talks on the theory and applications of data analytics & visualization given by program faculty and industry experts. This is a great opportunity for undergraduate students to learn about cutting-edge research in the big data science and network with subject matter experts and fellow students from other countries. We are inviting applications from exceptional students worldwide. The event is free to attend, and moreover, the successful applicant’s travel and accommodation expanses will be covered by the program. For more information or to apply, please visit http://www.lassondecreatedav.ca/ About the CREATE DAV Program The program is a multi-institution, multi-sector collaboration between York University (the lead institution), OCAD University, Concordia University and the University of Toronto, together with a number of leading Canadian high-tech companies in Toronto and Montreal focused on applications in cloud computing, digital cultures, health technology and smart cities. The goal of the DAV program is to provide opportunities for exceptional graduate students (MSc and PhD), undergraduate students and post-doctoral fellows. Students accepted into the program will receive highly competitive financial stipends and enhanced training from a collaborative group of internationally known subject matter experts in the field of data analytics and visualization in a broad range of application areas. Poster Create Dav Summer school 2018.pdf
  2. I love doing research, no doubt about that. I have 4 publications in international journals by the time I finished my Bachelors of which two were first-author. However, I realize the cost of a PhD - in terms of the time - that I cannot afford. Instead I have chosen Masters for probably having my last official research experience (though I am sure I would continue that independently later). So, I want to do research in Masters, but settle in the industry later as opposed to going for a PhD. With these possibly conflicting issues, I had applied to MSc at UBC and MSc AC at UofT. What do you suggest? If the UofT brand largely shadows UBC later for jobs, I would rather go there. Also, if the MSc AC included research component that is more of fundamental than applied, I would be okay. Since I would be going for a job for sure later anyhow (but applying to have my last dedicated research experience - to which I am fully committed), let me know what you would do if you were me? Thanks.
  3. Hi, everyone! I am an international student applying for 18fall Ph.D. in computer science programs in US. Now I've applied for 15 universities but only two of them are in California (i.e. UCR and UCSD). Here is my list of choices: Lotteries: CMU and U of Washington Top tier: GATech, UCSD, Wisconsin-Madison, UTexas Austin Realistic choices: NEU, Stony Brook, PSU, UCR, UVa, UMN Safe schools: George Mason, W&M College, UTexas Dallas So I made up these choices based on my backgrounds as well as the fact that the competition on PHD positions is fierce especially for this year. I did not choose too many UC schools because I've known that the universities in California have been extremely selective even since last year. As for my background, my current undergraduate GPA is 3.78/4 ranking 18 out of 303. My TOEFL and GRE are 106 and V157+Q170+AW4.0 respectively. I joined a lab of my school doing researches on distributed systems and had several research experiences. However technically I don't have any published or accepted paper, but three conference papers in submission. For details you might as well visit my personal page (https://excelle08.me). So here's a problem, a friend of mine attending MS program in computer science at UCR tells me that I'd better study in California so as to boast more convenience on internship and job applications. However personally I've avoided California to some extent and set my preference on solely research strengths of the universities and professors (by looking up csrankings.org as well as publications of the faculties), without caring much on location. So could anyone tell me if the location matters when it comes to job opportunities? Or it's just personal skills matters and companies usually won't hesitate paying one for trip to onsite? What about five years later when the CS industry might cool down? Any advice please?
  4. nghiduong90

    Reaching out to POI

    I am applying for Master with thesis (UofT, U of Alberta, SFU). Should I write an email to professors of those that I am interested in working with them as research student? I have research experience with 2 companies., 1 published paper as a 2nd author and an internship in the well-known corporation in US.
  5. Has anyone heard from ETH Zurich yet regarding admits
  6. Applying for Masters in Computer Science Fall 2018 Profile: Education: IIT Bombay Computer Science B.Tech 2014 CPI: 7.1 TOEFL: 110 GRE: 316 (I am trying again for a better score) ( 149 VR + 163 Q + 4 AW) Research: A Btech project in compilers LOR: 1 from BTP guide (strong) 1 from college prof (decent) 1 from CTO (strong) Work ex: 1 year in Samsung Electronics, Noida as a software developer 1 year in Amazon Bangalore as a software developer Currently working for 1+ years as a senior developer in Rivigo, a startup in Gurgaon I will be applying for a generic masters program and hope to find a univ with strong research culture. Please suggest me some universities
  7. AhmedEECS

    Chance me + want advice

    Hello, I am a sophomore/junior at Pennsylvania State University in Computer Engineering. I plan to graduate in three years and I am conducting undergrad research. My cumulative GPA is 3.74/4.00. I want to attend grad school at a top 10-25 program in Machine Learning if possible. I wanted some advice on things I could do that could make me stand out and if shooting for top 10-25 programs is practical. Thanks
  8. I am applying for MS CS for the fall 2018 session. I am confused about which university I should choose from these four options - Columbia, Gatech, USC and Pennsylvania. My primary interest is in the are of machine learning and AI. Here are my stats - University - JIIT Noida Sector 62 CGPA - 6.8/10 (My mother was admitted due to some illness for 3 years during my college, so there is a steady decline in grades, and the trend is apparent in my transcripts. Amounts to approx 74%) GRE - 323(Q:165, V:158, AWA: 4.0) TOEFL - 107 Resume - RESUME_Final.pdf Can somebody guide me and give me some realistic chances of acceptance. I am leaning towards Columbia and Gatech, but I don't have any knowledge of their acceptance rates. Regards, Piyush Kathuria
  9. , 2017 (edited) Hi Guys! I don't know if this is the right place to put this thread in, but I couldn't find any similar thread anywhere. So here it goes! All the Masters in Computer Science people who applied in Canadian universities converge here! Share your heart out, how you're dealing with the stress of waiting it out I know it's still early days for admits and rejects but here goes my applied list: UBC, Toronto, Alberta, Western, McMaster, Ottawa, Carletom, Windsor, Lakehead Course: Computer Science Masters in Science/ MscAC/MAC
  10. Can somebody give me some feedback about the quality of the SOP. I would like to apply to NYU by the end of this week. SOP - Link Personal Statement - Link
  11. Hello all, I have applied to UBC, UofT, UAlberta, UOttawa, Queen's, Mcmaster for MS in CS programs. I am hoping to get admits from UBC and/or UofT. Here is my profile. I have no publications. Strong academics (8.65) from a good college from Gujarat,India. IELTS 8.0 bands. No GRE. 3 internship stints and 2 technical training stints. (2 of the internships were on Java and Cloud/ML) Strong leadership skills and extra-curricular activities as well. I have formed a strong SOP mentioning my clear vision and broad interests in the field of AI, ML , DL and CLoud computing , along with a few professors and their research groups. Any one admitted from UBC of UofT MscAC program if available to comment on my chances , Please do So! Also, I have heard that UBC and UofT conduct interviews before giving acceptance offers. What is asked in those interviews? If anyone experienced is available, please throw some light on the matter and please rate my chances if possible. Thankyou. Sagar Parikh Resume.pdf
  12. I love to understand computation deeply, right from the CPU architecture, and I am having some problems with an embedded camera. I don't know what's the best way to do it, I know that microcontrollers aren't the best option, because they can't deal with all that data (4k/ 8k / 1080p 60fps - high resolution images) I know that the first circuitry that connects to the silicon sensor chip are specific driver chips to provide clock and send the data from all the matrices of pixels via parallel, so I've been reading a lot about Digital Signal Processor (DSP) and Digital Signal Controller (DSC), but I don't know how to connect the sensor, don't know if I only interface it with the DSP and send the data via USB/HDMI and process it in my computer (just another motherboard) with LibUsb, openCV and some graphics library in c; or interface the sensor, DSP and external ROM memory; even thought about interfacing external CPU (intel) proper RAM and ROM and then, interface the DSP and sensor, so that I can create a autonomous robot that process live video from the camera with algorithms created by me, and I don't worry about writing programs in assembly (if this is your solution).
  13. Please also point out any flaws in Technical Details if you see any. Thanks a lot. Statement of Purpose The scientific approach has always been a fundamental facet of my outlook towards life, belief system and academic pursuits. Driven by my scientific curiosity, I have arrived at a juncture where I am confident that a graduate research course with an initial M.Eng. Thesis and leading to a PhD is the most suitable step for me towards a career in research that I aspire to have. My principle interest is to conduct research in the broad area of Machine Learning (ML) and Signal Processing including their application in fields ranging from Robotics, Auditory Perception and Computer Vision. I am particularly fascinated by the application of Reinforcement Learning in Robotics, navigation and object recognition and identification. My goal is to learn and understand the decision making process of present day artificial agents under uncertainty and figuring out ways to improve them for novel applications in future. Thus one of my research interest is on tasks that can be framed as Markov Decision Processes in general and solved by Reinforcement Learning and dynamic programming. Furthermore, having an interest in Neuroscience and Behavioral Psychology, I am quite intrigued by how concepts of learning and intelligence from these fields can help make artificial intelligent systems more capable of human like decision making. I became interested to pursue a graduate degree at the School of Computer Science at XYZ University due to the world-class research going on here in the fields of my interest. At XYZ University, the works of Dr. XY are well suited to my research experiences and goals. I was particularly fascinated by his Lab's project "WWWW” as it utilizes RL techniques to make robots adaptive to changing ocean conditions without directly engineered controllers. I would also like to work on similar projects like Dr. XY’s work, “WWWW”, as it directly aligns with my research interest of working in the field of computer vision and scene understanding. His upcoming project utilizing Reinforcement Learning to identify objects based on how they sound to interact with has attracted me to apply to the program due to my past experience of working with audio classification and future goal of working with Reinforcement Learning. Moreover, the work performed in the Reasoning and Learning Lab is also well aligned with my research interests. My interest in Machine Learning research developed in my junior year while participating in IEEE Signal Processing Cup 2016. Working in this global competition helped me gain enormous experience and insight into the world of research. To participate in this event, I put together a team of likeminded peers. With Machine Learning being a relatively fringe topic in our university without many experts, we resorted to independent study. As I was the principle programmer and signal processing researcher in the team, I conducted literature survey to learn, understand and implement the necessary algorithm and make improvements to the classification system with the help of another team mate; while the rest of the team worked on hardware implementation and data gathering, all within a narrow window of three months. In this event, we classified audio recordings according to the location those recordings were made, exploiting the unique Electrical Network Frequency (ENF) embedded in those recordings. We extracted a wide array of statistical features ranging from mean and variance to more subtle ones, such as those derived from Multilevel Wavelet Decomposition and Auto-regressive models, for the implementation of a Supervised Multiclass Support Vector Machine (SVM). During this work, while implementing a classification system based on high dimensional features, I became introduced to concepts and techniques such as Principal Component Analysis (PCA), Independent Component Analysis (ICA) and Fisher’s Linear Discriminant Analysis (LDA). Moreover, I became familiarized with Bayesian Inference, Gaussian mixture models (GMM), and weighted SVM as well among other concepts from statistics and machine learning. This work taught me how to develop an end-user platform from scratch by taking a concept from existing literature and improving it. Eventually, I managed to lead the team to 11th position among 52 teams worldwide. An extension of this work has been accepted for publication in the peer-reviewed conference proceedings of IEEE R10HTC 2017. This success coupled with the theoretical understanding acquired through great performance in coursework on Data Structure and Algorithms, Random Signals and Processes, Discreet Mathematics, Numerical Analysis, Signals and Systems, and Control System Engineering convinced me that a career as a researcher in the field of Machine Learning or its application is the one I should pursue. I was accepted into two of Bangladesh’s premier universities, Bangladesh University of Engineering and Technology (BUET) and Dhaka University, ranking above 95 percent of the test takers in their entrance exams. At my undergraduate university, Islamic University of Technology (IUT), I received the prestigious OIC scholarship, which provided a tuition waiver for three years of my stay and included a generous monthly allowance. In my senior year at IUT, I designed and instructed a MATLAB based signal processing course for IEEE IUT Student Branch, which was attended by over a 100 students from various levels of my university. Even though I struggled in the initial semesters at IUT due to family problems as my mother passed away from cancer, I showed grit and determination by consistently ranking around the top of my class in the core courses of the last five semesters. At IUT, I worked on many projects ranging from voice pattern recognition system to hardware and software implementation of Microcontroller based temperature sensors for electric motor control. These experiences helped me develop my programming and logical skills. Concurrently, I engrossed myself into machine learning and mathematics by learning from massive open online courses: Machine Learning (Stanford Online, Coursera), Introduction to AI (Udacity), and independent study of books such as Linear Algebra by Gilbert Strang, Reinforcement Learning: An Introduction by Sutton and Barto, and Calculus by Michael Spivak. I also kept following online streams of International Conference on Machine Learning (ICML) and Neural Information Processing Systems (NIPS) to keep in touch with the latest developments in the general field of Machine Learning. In my senior year, I worked in IUT’s nanophotonics group for my undergraduate thesis on computational nanophotonics. We computationally investigated the effects of the near-field enhancements of metal nanoparticles in GaAs, CdTe and Perovskite absorber layers and worked on finding efficient and cost effective materials. The resultant work was published in the proceedings of 2016 IEEE APACE conference. I believe I have the research exposure, determination, and academic preparation to be a part of the world-class graduate research community of XYZ University. I am confident that XYZ University is the best place for me to have a career in the forefront of cutting edge research that I intend to have.
  14. Hi, I'd like help with my SOP if anyone could help me . I'll be glad to help too.
  15. I submitted the Princeton University form late by 5 minutes. Now it's not showing me checklist on applyweb. Is it an automatic rejection then :/ are you guys able to see the checklist on applyweb portal?
  16. Here is my story: I am an international student in the U.S. with a bachelor degree in a good school and currently a first-year master student in an institute that does not focus on research and not very competitive between students. The reasons I picked this school for my master because I want to keep my F1 status active and this school's tuition fit my pocket. About my application, I have okay GPA in undergrad (3.3), excellent GPA at the current master school (4.0, but the school is not famous), good Q. GRE score (164), but not get V. and writing. I have one published publication in U.S. conference as the 2nd author. Can anyone give me some suggestion what I should do now? I really don't want to finish my master in the current school because it does not provide me anything for my research career. Thanks to those who read this post.
  17. Hello! I was just wondering if anyone would be interested in giving some feedback on my purpose statement? I'll be applying for a Master's degree in Computer Science in a month or so. Please PM me (or reply here) and I'll reply back with a PDF link.
  18. Statement of Purpose The number of areas in which Computer Science plays a vital role is astonishing and I feel lucky that my passion and skills lie in it. My undergraduate course in Computer Engineering and my experience in the software industry has helped me set a clear goal for my near future – mastery in the field of Computer Science. With an aim to study in one of the best universities in the USA, I wish to apply for the Master of Computer Science (MCS) course at XYZ State University. I have always found myself indulging in research activities and it delights me to know that XYZ State University gives high importance to research and has so many labs to facilitate the same. In my four years of experience in the software industry, I had the opportunity to work on multiple challenging research project. · At my first job for Calsoft Inc, I worked on the research project 'Federated NAS’. We as a team of 3 designed and developed the architecture for distributed and federated filesystem framework which allows global namespace for the data stored over several sources (Cloud sources, remote filesystems etc.). I actively participated in developing the design and architecture of the project and later was the leading developer to implement it. For this project, I developed a virtual filesystem and an object filesystem, an on-disk cache and an in-memory cache. · While working on the project – ‘In-band NFS XATTR support’, I researched for ways to develop the support for extended attributes in NFS (Network FileSystem) protocol in its data path. I proposed a novel way of its development and the idea was accepted. It helped me fetch an opportunity to guide a group of final year students for its implementation. · In Seagate Technology, I worked on the research project 'Parallel Data Mover (PDM)’. The work focused on developing a Data Mover which can migrate data at a high speed for HPC (High-Performance Computation) use-cases and is capable of working with multiple storage tiers spanning Lustre, GPFS, and Cloud Storage. Owing to the high quality of education, I believe studying at XYZ State University will be highly rewarding and satisfying at the same time being extremely challenging and competitive. I am fortunate that challenges excite me and bring the best out of me. · When I got the opportunity to guide a group of final year engineering students for the ‘NFS XATTR support’ project for the intra-company project competition, I was contending against other project guides who were senior to me by more than 8 years. This did not deter my confidence but instead motivated me to participate and try to win the ‘Best undergraduate project’ title. In spite of being occupied by other projects, my and my team’s dedication and positive attitude resulted in us winning the title. · Calsoft Inc organized a company-wide coding competition – ‘Code gladiators’. Even though I knew I would compete against top-notch Architects, Principal Developers, Director of Engineering among others, I believed in myself and spent more than a month preparing for the competition. I stood 1st and received applauds from everyone. There are no words to describe the happiness I felt when I was lauded by seniors who I greatly admire and respect. XYZ State University’s initiatives like ‘ABC’ speaks volumes about the importance the university gives to philanthropy. I believe I perfectly fit into this culture as I try to give back to the community in whatever ways possible. · A good education at a young age plays a vital role in deciding the future of a child. To reciprocate the effect education had on me onto others, I volunteered for ‘BHUMI’ NGO. There I taught Mathematics and English to orphan kids who never had the opportunity to study in a school. Even though I joined the NGO with a humble aim of teaching the kids, I ended up learning much more from them. Being part of the NGO for a year had a profound impact on my life. XYZ State University is a community formed to solve the world’s most challenging issues and I want to be part of this global group. The group which is bringing positive changes to the world and making it a better place to live in.
  19. I urgently need feedback on my SoP draft for my application for a Master's in Computer Science. Anyone willing to help? I'll PM the SoP to you. Thanks in advance
  20. Grad degree aim: MS in Computer science in USAMy GRE scoresVerbal: 157 Quant: 164AWA: 5.0Undergraduation: B.Tech in Computer Science at PESIT, BangaloreUG CGPA: 9.83 (Topper 9.91)Field of interest: Algorithms, Networking, Cloud securityInternships: 1) UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN Partitioned Linux Containers based on Principle of Least Privilege and Principle of Privilege Separation. Achieved size reduction of around 96% in nginx Docker image, 87% in python image and 60% in appcontainers/mediawiki 2) PES UNIVERSITY Predicted perpetrator of terrorist attack based on target type, weapon type. Executed C4.5 and Factor Analysis of Mixed Data algorithms to analyze accuracy and achieved highest accuracy rate of 85% consistently in Scalable Vector Machines 3) MICROSOFT MOBILE INNOVATION LAB Developed a statistical web-based model using R that displayed a Steam Graph to represent the rate of severity of diseases in rural areas of India • Obtained an accuracy of 87% consistently in the rate of prediction Conferences and presentations1) INTERNATIONAL CONFERENCE FOR ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS Presented poster on “Terrorism Analytics: To predict the perpetrator of a terrorist attack” 2)GRACE HOPPER CELEBRATION OF WOMEN IN COMPUTING Presented poster on “Data Leakage detection using Cloud Computing” Achievements : • Recipient of Google Grace Hopper Scholarship for Women in Computing • Deloitte Cyber Threat Collegiate competition first runner-up • Microsoft Imagine Cup top 10 pitches • Smart India Hackathon Innovation Award • Rank 2 at ACM Intercollegiate Programming Competition 2015 Amritapuri Regionals Recommendations: 1 strong and 2 moderate.Please help me classify the following universities as safe, ambitious or moderate:1) University of Wisconsin Madison 2) Stanford University3) University of Southern California4) University of Illinois Urbana-Champaign5) Georgia Institute of Technology 6) Carnegie Mellon University Any suggestions for universities are also welcome. Thanks a lot!!
  21. Hi, The last time I asked for advice on my SOP didn’t go to well. This time I will include it here in full. Hopefully this will make it easier for people to review. A short introduction about me to help with the review: I’m a Dutch computer science major. Over the last couple of months, I have been developing my statement of purposes for the universities which I will be applying to. I'm finally at a point where I feel confident enough about my SOPs that I am willing to share it with people outside my family and references. My transcript and GRE scores aren’t anywhere near what I had hope so a solid SOP is really important. My average is a 7.6 on a 10-point scale which translate to roughly a 3.4 – 3.6 GPA. My GRE is V:155, Q:163 and W:4.5. For my letter of recommendations, I have found the following references: 1. Associate Professor whom I will be assisting in research starting next month. He gave the project I did during his course last year a 10. 2. Lecturer of the courses “Computer Architecture” and “Information Security”, I received good grades in both. He is not a professor but he is well known for his course on C++. 3. Associate Professor in machine learning. He is well known for his work in Vector Quantization. Did part of his MS. at the University of Washington. I am mostly interested in the research areas of CS Theory and AI/ML. Ideally, I would like to combine them both. I will be applying to the Ph.D. or MS. program at UCB, UW, GATech, UCSB, Toronto and Montreal. If all my applications would be unsuccessful I will probably continue with a master’s degree at my current university in the Netherlands. This is a top 100 school with a solid machine learning track, since I am guaranteed to be accepted here I decided to aim high. Now, my statement of purpose, this version is focussed on the University of Washington. You can either read it below or in PDF format: Statement of Purpose – Anonymous.pdf “ Dear Graduate Selection Committee, My name is Jan Janssen, I am a Dutch computer science major born in a small town in the Netherlands. With this statement of purpose, I wish to show you why I would be a suitable candidate for your computer science Ph.D. program. Your incredible reputation in the field of machine learning and in particular the work of professor Kakade on the border of Computer Science Theory and machine learning is one of the reasons why I am applying to your program. Although I was initially interested in the engineering aspect of computer science I became increasingly dedicated to an academic career throughout my bachelor degree. After my first year as a computer science major, I was fortunate enough to be accepted for a basic position at the software engineering department of Sadet, a security company in the Netherlands. During the following one and a half years, I have transitioned from this position to become a key member of the software engineering team while working on multiple projects for usage in both private and national security. In the upcoming months, I will be putting aside my work at Sadet to make time to assist in research at the University of Groningen. While I do not expect to return to Sadet I do look with fondness upon the things I have learned while working here and how the experience was detrimental for my dedication towards a career in research. How exciting and innovation-driven the engineering field of computer science may be, in the end, it has a very volatile nature. I am determined to make long-lasting contributions to the field of computer science. To use the biggest cliché available, I wish to make the world a better place by pursuing a career in computer science research. Before I explain my areas of interest further, I feel that I should address some aspects of my application, mainly my lackluster average grade and minimal research experience. During my undergraduate degree, I focused on getting experience in software engineering outside of the university environment. By doing so, I hoped to build a solid basis to build research experience and focus on my grades while studying for my master’s degree. I was confident that this would be the best preparation for a career in research at an institution in the United States. Over the last two years, a Psoriatic Arthritis diagnosis has increasingly been causing issues in my health. Issues with mobility in my lower back early last summer eventually made me realize that I did not want to wait the additional two years before pursuing my dreams. Since then I have worked on preparing myself for graduate school in the United States by improving my grades and looking for research positions. As I mentioned shortly before, from December onward I will be assisting professor Kaas Kop at the University of Groningen in his research. Due to the introductory nature of the Bachelor degree in the Netherlands, it is very unlikely for Bachelor students to get this opportunity. I am looking forward to experience what I can learn being handed this opportunity and I am dedicated to seize it to the fullest. With the experience gained assisting professor Kaas Kop in his research, combined with my upcoming bachelor thesis and background as a teaching assistant, I am confident that I will be able to deliver the experience required for your Ph.D. program. By joining this experience with my eagerness and unprecedented dedication to improving as a person and academic, I will be able to use it as pillar to build a long-lasting and successful academic career. If I would be accepted to your computer science Ph.D. program there are two areas within the computer science field that I wish to explore and contribute to, Computer Science Theory and Artificial Intelligence. The field of computer science theory is in my view the reverse of the volatile engineering field of computer science I mentioned earlier. Over the last summer break, I read C. Shannon’s paper “a mathematical theory of communication” with the intention of improving my ability to read academic papers. Unintentionally this paper revealed my own interest in Computer Science Theory to me. Aside from the conceptual impact of Shannon’s paper the ever-lasting relevance of the topics explored fascinated me. Hopefully I will be able to contribute in research one day that has the same enduring impact. The research area of Artificial Intelligence, and in particular machine learning, is the primary area that I wish to explore. Over the last few years I have seen the growing impact of machine learning in fields such as medicine and economics. How progress in machine learning research has opened up the possibility for computer scientist to contribute in other fields is something that I find inspiring. By contributing to research in machine learning and in particular vision and speech recognition, I wish to further revision our perspective on personal computing and robotics. I have had the pleasure to be taught the basics of intelligent systems by professor Frank de Boer, a former visiting student at the University of Washington. His work on the boundary between CS theory and machine learning inspired me to search for universities that explore this same border. Work performed by professor Sham Kakade on machine learning theory and in particular his paper on accelerating stochastic descent is the perfect example of this. Throughout my graduate degree I also wish to continue my current activities in educating people outside the academic community. By hosting talks at libraries and community centres I hope to educate them about current research and how this might influence their lives. Besides teaching being a life-long passion of mine, I also see it as an important part of our academic obligation. Hopefully my statement of purpose was able to give you some insight into my motives for pursuing a graduate study and what I aim to do with it. I am positive that my interest in machine learning and theory combined with a passion for teaching will fit into your academic community. Yours sincerely, Jan Janssen “
  22. Objective: MS in Natural Language Processing related programs More Inclination towards Industry than a PhD GRE: 330 (170 quant + 160 verbal+ 4.5 AWA) TOEFL: 117 (R-29, L-30, S-28, W-30) GPA: 9.36/10.0 College: LNMIIT, Jaipur (Deemed University in India) Papers: 2 at CoNLL-2017 (Top-tier, view) {4th author out of 6} and ICON-2016 (National Level, view) {2nd author out of 2} [Both are in NLP] LORs: Yale Prof+Stanford PostDoc+LNMIIT Associate Prof Internships (all remote): Yale University (Resulting in CoNLL Paper), Nanyang Technological University (Resulting in ICON Paper), NCSR Demokritos and a startup More: Resume, LinkedIn, Github *Universities already finalized*- Stanford,CMU,Columbia,UPenn, UC Berkeley, UWashinton, USC *Only 1 quick point needs to be resolved* After extensive research, I've shortlisted these universities which I need to classify as Ambi/Mod/Safe. I've not received replies from popular profile evaluation platforms and hence need your expertise in the matter. If possible, could you also provide any specific points about why I should/shouldn't apply here- (Eg- Funded MS? Most Job Prospects? Good as a safety school?) 1) Harvard University 2) Georgia Tech 3) UT Austin 4) John Hopkins 5) University of Illinois Urbana Champaign 6) Cornell 7) UCLA 8) Princeton 9) UC San Diago 10) University of Michigan 11) University of Wisconsin Madison 12) Yale University 13) NYU, TAMU, OSU, ASU (Safety) 14) University of Maryland,College Park 15) Purdue University -Thankyou so much!!
  23. In the mentioned post on gradcafe, one of the users said that PhD applicants who got rejected but have opted to be considered for Masters get a lower priority than those who opted for masters. Can anyone confirm whether this is true or not. I was assuming that they would be given the same priority as usual MS applicants. I am aiming to apply for MS programs to eventually get into good PhD programs and am planning to apply for PhD wherever I will be reconsidered for MS programs on reject. Hence it's crucial to know if there is any difference in treatment of such applications. Thanks in advance !!
  24. I made the terrible mistake of applying to Columbia's M.S. in Computer Engineering instead of M.S. in Computer Science. I got (logically) rejected from Comp Engineering 2 days ago. Does anyone know if it's possible to apply for Computer Science at this point? It looks like they admit on a rolling basis, but I'm just not sure if they allow 2 applications for the same semester (even if one was a mistake). I already emailed them asking to use my Comp Eng. application for Comp Sci consideration, but they seem slow to respond.
  25. Hello, I have been awarded the Fulbright Student Award (up to $35k for first year of Master's in the US) and at the end of the week I have to send the list of universities I prefer applying to. My problem is that I don't know how competitive I am and thus how high I should aim in selecting universities. Qualifications I have obtained a BS in Computer Science from one of (if not the) best universities in my country (Romania): University of Bucharest. I have about 1.5 of work experience as a Data Scientist (at Adobe Romania, then at Bitdefender). Unfortunately I have no pure research experience, let alone publications. My stats: GPA: 3.85 (converted from 9.6/10) undergrad GRE*: ~160Q, 167+V, 5.0A (estimated from latest practice tests) TOEFL: ~110 (estimated from latest practice tests) Personal Statement Study Objectives CV / Resume Letters of Recommendation: I can provide them if someone is really interested in reading them *I haven't taken the GRE yet because at the end, I should provide the list of schools I want to my scores sent to and that is precisely why I am here — I haven't settled on the schools yet. School Selection I want to pursue a research-oriented Master's of Science program in Artificial Intelligence / Machine Learning / Data Science. I do not have a requirement for a sub-field (NLP / CV / DM / IR). Interdisciplinary opportunities (HCI / Data Visualization / Social Computing) would be a great bonus. University preferences, in this order: CMU UW Stanford Cornell Georgia Tech These preferences are based almost exclusively on the high university rankings (taken mostly from here) and the presence of strong ML faculty. I do not want to fool myself into thinking I can get into even one of these top schools. I would be very grateful if I could get some advice / evaluation on where I stand, what my chances are and what is the approximate range of schools I am competitive for — what I should realistically aim for. Also any advice on what I am lacking / I can improve is greatly appreciated. Notes: because my application process will be partly handled by the Institute of International Education, I cannot customize my essays for each university. Also I am limited to five schools to send my application to. The scholarship is offered for pursuing a Master's Degree only. Thank you!
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